International Journal of Intelligent Enterprise (70 papers in press)
Incorporating carbon emissions in queuing models to determine lot sizes and inventory buffers in a supply chain
by Petrus Setya Murdapa, Nyoman Pujawan, Putu Dana Karningsih, Arman Hakim Nasution
Abstract: In this paper, we present a supply chain model that considers both inventory-related costs and emissions. We used the queueing-based performance model wherein emissions in three stages of supply chain activities are captured. The model was solved by the decomposition approach. For model validation, we have used a discrete event simulation. The computation results show that the two results, i.e., the decomposition approach and the simulation, are very close, indicating the accuracy the approach that we used. Experiments were conducted to test the applicability of the model. The numerical examples show that the change in parameter values is not always responded the same way by the total inventory-related costs and the emission costs, indicating the importance of including these two response variables in the model.
Keywords: Carbon emission; inventory buffering; lot sizing; performance model; supply chain.
Entrepreneurial passion facing its ecosystems obstacles: The case of Tunisia
by SAMIRA BOUSSEMA
Abstract: Entrepreneurship is one of the most appropriate remedies to the various economic crises. It is presented as a complex process that faces several barriers, thereby inhibiting a projects implementation phase. In fact, after a careful review of the literature, we noticed that empirical research on reasons behind unimplemented entrepreneurial projects are very rare, suggesting a failure in modeling the process in general and the pre-start phase in particular. In this paper, we try then to identify the main constraints to entrepreneurial passion in Tunisia by studying a representative sample of project promoters who have been unable to carry out their business projects. Using structural equation methods, we found that these promoters face barriers like a lack in entrepreneurial training and services provided by supporting organizations.
Keywords: Entrepreneurial passion; unimplementation of projects; Structural modeling.
Implementing just-in-time (JIT) based supply chain for the bulk items in an integrated steel plant
by Ram Naresh Roy
Abstract: Due to increasing global competition, organizations are continuously improving their operational practices and cost efficiency to get a competitive edge. This paper involves a case study in ABC Steel plant (anonymised) dealing with a huge amount of bulk-materials handling and transportation, and proposes a JIT-based model of handling and transporting which may lead to potential cost savings. The paper discusses the important requirements of JIT procurement and transportation through a literature review. The existing system of ABC Steel plant has been studied and modelled as a pull-system, and an MRP model has been used to calculate the amount of various raw materials needed for making the hot-iron or steel. The total costs of transporting bulk materials from various sources for steelmaking in the existing system (model-1) and the proposed JIT system (model-2) have been calculated. The differences between the two indicated the potential savings for different levels of safety-stock and different levels of JIT implementation.
Keywords: JIT supply chain; logistics; bulk materials; integrated steel plant; MRP model; cost-savings and productivity; lean procurement.
Framework to Identify a Set of Univariate Time Series Forecasting Techniques to aid in Business Decision Making
by IRAM NAIM, Tripti Mahara
Abstract: Forecasting is generally involved in business activities to anticipate or predict the future. With availability of numerous techniques and models, forecasters regularly face a genuine issue to select the most appropriate technique for different time series available in an organization. Most of the time, it is not possible to find one technique that can be used for all-time series as the selection is dependent upon the characteristics of a time series. Hence, the research proposes a selection tree to aid in decision making based upon availability of type of dataset and time series characteristics. The framework is validated using four real case studies. This study also presents advancement to existing forecasting method selection tree by exploring a new dimension of complex seasonal pattern for long time series.
Keywords: Univariate Time Series; Time series Pattern; model selection; trend analysis; seasonal data; complex seasonality; long time series.
Innovativeness, Environment and Performance of Small and Medium-sized Enterprises (SMEs) in the Manufacturing Sector in Malaysia
by Mandy Mok Kim Man, Lo May Chiun
Abstract: This study examines innovativeness and environmental factors that can influence the performance of small and medium-sized enterprises (SMEs)in the Malaysian manufacturing sector. Previous research have focused mainly on technological innovation rather than innovativeness in administration process and innovation culture. The present study examines the fundamental nature of innovativeness and relates these various elements of innovativeness to SMEs performance. The present study includes the role of the government. Firstly, in the Malaysian context, the government interferes in the market through new business policies, increasing or decreasing the interest rate, controlling money supply and implementing competition policy law. Secondly, the role of government has been neglected in most previous research in measuring the environment influences on business in spite of their importance in determining the environment indicators, such as, environmental uncertainty and intensity of competition. The present study shows that the innovativeness and environmental factors have significant impact on SMEs performance.
Keywords: innovativeness; small and medium-sized enterprises; SMEs; environment; performance; technology; entrepreneurship.
Modelling for system fluctuations advancing buffer management delivering on the theory of constraints
by Arnesh Telukdarie
Abstract: The aircraft component manufacturing industry can be considered a high value manufacturing value chain, due to the nature of the delivery space. South Africa currently supplies various components into the international Aerospace industry. A key strategic operational tool-set is the Theory of Constraints (ToC) manufacturing methodology. This research propositions a review and optimization of the current Mode of Operation (MOO) specific to work in progress management. A simulation based approach is adopted to test the scenarios for potential work schedule optimization, including incorporation of the ToC principals. The results are insightful, specific to throughput and cost management. The research and simulation serves as a significant opportunity for the company to integrate and optimize leading towards industry 4.0 delivery.
Keywords: Manufacturing Systems; Industry 4.0; Theory of Constraints (ToC); Multimethod Simulation Modelling; Production optimization.
A new dominant point detection technique for polygonal approximation of digital planar closed curves.
by Kalaivani S, Bimal Kumar Ray
Abstract: On the visual perception, the real world objects are the collection of irregular polygons. Representation and understanding the irregular polygon is an interesting and major task in various research areas. However, approximation of the polygon is quite complex and challenge in different views. In this paper, a new approximation algorithm is proposed to represent the irregular polygon. The proposed method detects the dominant points which has high impact on the shape and supress the weak points. The obtained approximated polygon are with less vertices/points and retain the original shape with less approximation error value. The experiments of proposed algorithm are conducted using MPEG shape datasets to show its performance both in quantitative and qualitative aspect.
Keywords: Irregular polygon; curve; collinear points; dominant point; local deviation; global deviation; distortion error; split; merge; polygonal approximation.
Impact of Social Media Advertising on Millennials Buying Behaviour
by Taanika Arora, Arvind Kumar, Bhawna Agarwal
Abstract: The phenomenal growth of social media sites, has enticed the companies to target their consumers by advertising through most used mediums, hence it becomes crucial for the advertisers to carefully design the ads thereafter also check its effectiveness The purpose of this paper is to propose a conceptual model which determines the impact of various advertising content factors such as informativeness, entertainment, credibility, interactivity and privacy concerns on attitude of Indian millennials towards social media advertising. Using non-probability sampling, the data was collected using the online questionnaire through Google Forms from a total of 470 social media users. The adapted scales have been validated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), after which path analysis has been applied using SPSS AMOS 22.0 for testing the various formulated hypothesis. The results indicated significant relationships which can be useful in understanding the attitude and behavioural responses of Indian millennials towards social media advertising. The study can be useful to the marketers, advertisers and brand managers in designing advertisements on social media sites by embedding certain essential features which can positively shape up the attitudes and further develop behavioural responses.
Keywords: social media; millennials; informativeness; entertainment; credibility; interactivity; privacy concerns; social media advertising; attitude; behavioural responses; buying behaviour; Indians.
Factors influencing the change in consumer buying behavior in the competitive Era: An empirical study of consumer durable in Vietnam
by H.-C. Pham
Abstract: Aim and Purpose: The main purpose of this study is to determine the relationship between the variables influencing the consumer buying behavior. The consumer buying behavior has been identified in two forms consumer response and repeat purchase & recommendation. Scope: The study is theoretically limited to the consumer buying behavior and its antecedents. The study considers the responses from consumers of durable products of Vietnam. Methodology: This study is descriptive in which survey method has been used to collect the data. The data analysis has been done with the help of exploratory factor analysis and multiple regression. The sample size of 588 customers has been taken in the study to derive conclusions. Findings: The study finds that the constructs representing antecedents of consumer buying behavior such as advertising and promotion, celebrity endorsement, Effective CRM and Country of Origin have a significant impact on consumer buying behavior.
Keywords: Consumer buying behavior; multiple regression; competitiveera; exploratory factor analysis.
PREC - Hybrid Lightweight Cryptographic Approach to Enhance IoT Data Security
by M. Sruthi
Abstract: Data security in IoT is a significant area where IoT comprises of resource constrained devices. Hybrid cryptographic technique is a combination of symmetric and asymmetric algorithm. The advantage of hybrid cryptography is to speed up the process of data encryption with secure key transmission. Since IoT comprises of resource constrained devices we deploy the lightweight cryptographic algorithms which is specific for resource constrained devices with tailored S box and P box functions and less gates requirement. The proposed hybrid system uses PRESENT an ultra lightweight symmetric block cipher to encrypt the data and then ECC to secure key transmission. The results shows that proposed lightweight hybrid algorithm is better in terms of time taken to encrypt/decrypt which is must in a resource constrained environment.
Keywords: IoT; data security; hybrid cryptography; lightweight cryptography; light weight block ciphers.
Monetary policy in tough times case study approach
by Ashutosh Kolte, Ameya Patil, Hoshiar Mal
Abstract: Monetary policy is said to be formulated with the three-fold objectives of achieving a sustainable growth, keeping inflation within limits and controlling external imbalances. In this study we have done a study of such cases wherein the economic environment has been tough in India and the policies, actions taken by the Central bank of the country during those times, have either, rescued the country from the crisis, or prevented the crisis from hampering Indian economy drastically. By tough, the researchers mean high inflationary conditions, subdued growth or huge external imbalances. Using a qualitative research tool -case study approach, these situations are studied and analysed. A set of right monetary policies, in response to these situations, are accordingly suggested.
Keywords: monetary policy; liquidity; recession; exchange rate system; flexible exchange rate regime; balance of payment.
Impact of price control on pharmaceutical sector with reference to India
by Ashutosh Kolte, Hoshiar Mal, Mugdha Fulambrikar, Aishwarya Jagtap
Abstract: In India drug prices are controlled and are commonly known as Drug Price Control Orders (DPCO) was initiated in the year 1995 which was till then, issued under Essential Commodities Act (1955). It is governed by the National Pharmaceutical Pricing Policy (NPPA) and accordingly, a National List for Essential Medicines (NLEM) was formulated. DPCO is useful for controlling the prices of life-saving drugs that are essential in the current scenario of healthcare and diseases. All the essential drugs are included under DPCO and a ceiling price is formulated for the drugs. Ceiling price denotes to the fixed price of the drug as per DPCO-2013 and this drug price cannot exceed the limit stipulated by DPCO. Our paper examines various aspects of DPCO. We have done literature review on the origin of DPCO, its need, favourable factors, objectives, etc. The motive of the paper is to understand these various aspects and also analyse the impact of DPCO on the Pharmaceutical Sector. The paper encompasses the brief history of DPCO, its contents, objectives etc. The import and export sector are largely affected by DPCO and hence its effects are also explained in the paper. We have attempted to find effects of drug price control and its implications on industry as a whole. We have also attempted to gaze future prospects for pharmaceutical industry.
Keywords: Pharmaceutical industry; price control; drug pricing; pricing policy; bulk drugs; exports; wholesaler margin; essential drugs; healthcare; DPCO.
A Formal Design in Generation of Array PIN Using Petri Net Model and Implementation for Secure Transactions
by Vaithyasubramanian S, Lalitha D, Christy A
Abstract: Online banking and ATM transaction are being used by many people for it is easy to process and it is also very fast. Being highly customer-oriented, the two keys to any transaction is the users identity and the PIN. Increasing threats and frauds are major concern in the security of banking transaction. Though several measures are being taken, yet there is a necessity for a Mathematical and Contemporary model for transaction security. A novel PIN validation technique for online and ATM operation based on Array Password has been proposed in this paper. For the formal design and generation of Array Password, Petri Net the Mathematical Modeling Languages has been utilized. Due to its feasibility and clarity this scheme can used to improve the security flaws in e-banking and e-commerce. The implementation process, advantage and usability of the proposed method are presented in this paper.
Keywords: ATM – PIN – Transaction - Security – Array Password – Mathematical Modeling – Petri net.
THE IMPACT OF CORPORATE GOVERNANCE ON BANKS EARNINGS MANAGEMENT
by Binh Nguyen T.Thanh, Min-Ru Tsai
Abstract: Loan loss provisions and realized fixed assets gains and losses are useful information for analysts and investors because they indicate a bank's sense of how stable its lending base and assets are. They are also used as forms of earnings management at banks as a higher level of loan loss provisions decrease earnings while a higher level of realized fixed assets gains and losses increase earnings. This study examines how corporate governance mechanisms affect earnings management at 25 publicly traded banks in Taiwan over the period of Jun. 2003 to Jun. 2018. The empirical results show that the discretionary use of loan loss provisions and realized fixed assets gains and losses play an important role in a banks earnings management. In particular, we find that banks of financial holding companies prefer the discretionary use of loan loss provisions in earnings management that is not influenced by the power of CEOs but by the independent board and the board size. Besides, banks that do not belong to financial holding companies prefer the discretionary use of realized fixed assets gains and losses and their earnings performance are affected by the power of CEOs.
Keywords: Earnings management; Banks; Loan loss provision; Corporate governance.
The Evaluation Pattern of Indian Investors on Role of Stock Brokers to Determination of Investment Decision
by Prabhakar Rajkumar
Abstract: The India investment scene has many schemes to offer to an individual. One of the joint areas for investment is Capital Market and which is the wider term used to comprise all operations in the new issue and the stock market. The demand and supply for long term funds are reflected in the capital market, which is a market for borrowing and lending of funds of more than one year. Every year investment in the stock market has been continuously increasing. In 95-96, equity turnover of BSE was 50064Cr. but in 2014-15 it was increased to 8, 54,845 Cr. which shows the increase in the transaction in stock market. In recent years, there has been a radical transformation in the way in which stocks and shares are traded. The share brokers are helpful to investor for investing in the various financial instruments in the market and guide for the safety investment in current and future. With this back ground, this study is examine the evaluation pattern of Indian investors on role of stock broker to determination of Investment decision. Also the study includes the style of investment of individual investors, reason for changing the stock brokers and at which stage individual investors are depending on stock broker for investment decision. The study covered the investors in Mumbai. For this study, primary data have been used.
Keywords: Individual investors; Stock Broker; Stock Market and Investment.
Topological Properties of Multigranular Rough Sets on Intuitionistic Fuzzy Approximation Spaces
by Avulapalli Jayaram Reddy, B.K. Tripathy
Abstract: The notion of Rough set introduced by Pawlak in 1982 as a model to capture uncertainty in data has been extended in many directions to enhance its modelling power. One such approach is the notion of rough sets on fuzzy approximation spaces introduced by De et al in 2003. It has further been extended by Tripathy in 2006 to the context of rough sets on intuitionistic fuzzy approximation spaces. It is based upon an equivalence relation defined through an intuitionistic fuzzy proximity relation; which is intuitionistic fuzzy reflexive and intuitionistic fuzzy symmetric. As is well known an equivalence relation provides a granularization of the universe on which it is defined. However, a single relation defines only single granularization and as such to handle multiple granularity over a universe simultaneously, two notions of multigranulations have been introduced. These are the optimistic and pessimistic multigranulation introduced by Qian et al in 2006 and 2010 respectively. As expected the notion of multigranulation over intuitionistic fuzzy approximation spaces were introduced by Tripathy et al very recently in 2018. Topological properties of rough set are important characteristic, which along with accuracy measure form the two facets of rough set application as mentioned by Pawlak. Study of topological properties of many types of rough sets has been carried out by Tripathy et al during the last decade. In this paper we introduce the concept of topological property of multigranular rough sets on intuitionistic fuzzy approximation spaces and study its properties.
Keywords: Rough set; intuitionistic fuzzy set; intuitionistic fuzzy approximation space; topological properties; types of rough set.
Management accounting insight via a new perspective on the risk Managementcompanies profitability relationship
by Tariq Tawfeeq Yousif Alabdullah
Abstract: The current study aims at introducing a new insight to be added to the previous studies in the literature review in the field of management accounting through creating some new insight as a new contemporary trend to be compared with the previous in the literature review. To be a new research, including new thoughts compared to existing literature, it investigates the link between predictor and predicted variables; independent managers in the board of directors and risk management committee, and their impact on companies profitability represented by management accounting measurements ROE and ROA, and companys profitability represented by market share. The present work utilized the multiple regression method to analyze available data for Jordanian industrial firms that listed in Amman Stock Exchange for the ended year 2017. Unlike prior studies, the present work unexpectedly could find an insignificant link in the relationship between independent managers and companys profitability represented by ROE and market share. Furthermore, risk management committee has a significant relationship with ROE and market share. Therefore, Jordan government with other related parties should take in their consideration formulation of policies for the importance of risk management existence. The originality of this study is the matter of concerned of the previous studies with the effect of different factors on companies profitability remaining somewhat under-researched in developing countries and Jordan in particular. Thus, from developed and developing nations viewpoint, the current research is the first of its kind that solely chose predictor (independent) variables in their relationship with companies profitability represented by market share, where there is no prior work that investigated risk management as a predictor (independent) variable in this link with market share. In this regard, it probably might be said that no other studies especially in developing countries have examined this link particularly from the risk management perspective in its link with companies profitability. This new insight of this relationship created by the current study offers helpful evidence that introduces outstanding value to several parties, for instance scholars, academics, policy makers, government, and other stakeholders.
Keywords: Independent manager; Risk management committee; companies’ profitability; developing countries.
The Peak-to-Average Power Ratio Reduction using hybrid scheme with Companding and Discrete Hartley Transform for Orthogonal Frequency Division Multiplexing System
by Rashmi N, Mrinal Sarvagya
Abstract: Orthogonal frequency division multiplexing is a multicarrier and high data rate system. Increasing data rate through higher modulation techniques increases peak to average power ratio(PAPR) in OFDM systems. In this paper, we propose a novel hybrid scheme, combined with companding and Discrete Hartley Transform (DHT) spread, in order to reduce high PAPR in superposition coded modulated OFDM system. The experimental results demonstrated that hybrid scheme can reduce the PAPR to 1.749dB. The simulation results of proposed technique is compared with Clipping technique, Partial transmit sequence, Selective mapping and original OFDM system. Further computational complexity is reduced by half by applying hybrid scheme.
Keywords: Orthogonal frequency division multiplexing (OFDM); Peak-to-Average Power Ratio (PAPR); Cumulative Complementary Distribution Function (CCDF); Discrete Hartley Transform (DHT); Superposition Coded Modulation (SCM)-OFDM; Modified µ law Companding (MMC).
Text Content Analysis using Semantic Similarity and Keyword Extraction for Automatic File Name Generation
by Janani Balakumar, S. Vijayarani, J. Ilamathi
Abstract: Tremendous growth in internet technology and the advanced developments in the hardware industry has created a new platform which helps the users to download and store huge quantity of information in the form of word documents, PDFs, text files, images, audio files, and so on. Normally, most of these downloaded files whose names are not giving any proper meaning. These file names may be a combination of numbers or numbers with special symbols or only alphabets with no meaning or alphabets with special symbols or combination of these. This may happen continuously, at some later stage, the computer system contains many different categories of files, and the name of the files does not provide proper meaning. This situation has created a problem for the users, if they are searching for particular information or content from these files, it is very difficult for them to get and this process has become tedious and time consuming one. It is very difficult for the users for renaming the file names after reviewing the content of each and every file. The main aim of this paper is to develop a new tool which provides the appropriate, meaningful and accurate file names automatically, after verifying and analyzing the content. This tool also suggests different combinations of filenames which are related to the content exist in the files. There are three important steps are carried out in this research work; in the first step, classification is performed based on file names, to find whether the file name is meaningful or meaningless. To do this task, the file names are compared using a proposed CNO (Character Numeric Other) algorithm. During the second step, it classifies only the meaningless filenames by using the proposed search techniques. In the third step, it performs the keyword extraction and title extraction. In this step, there are two new algorithms KWE (Keyword Extraction) algorithm and AFNG (Automatic File Name Generator) algorithms are proposed to generate the new file names automatically, from this, most appropriate file name is selected by the users.
Keywords: Text Mining; Content Analysis; Automatic File Name Generator; Keyword Extraction; CNO; File Classification; Search; Indexed Search; KWE; AFNG.
Profound Feature Extraction and Classification of Hyperspectral Images Using Deep Learning
by R. Venkatesan Rudhrakoti, S. Prabu
Abstract: A Hyperspectral image provides an assets of information. It is used to tackle diversity of problems that occur in remote sensing the earth. These hyperspectral images are used in various applications such as research in geology, research in global changes, mapping of environment, mapping of wetlands, traffic capability estimation, identification of minerals and plants and profusion estimation, analysis of crops. The persistent issue, recurrent problem in remote sensing is classifying the spectral images, in which each pixels of the spectral image are being aimed to assign a label. In progression of hyperspectral images, classification process is done to identify distinct spectral pixel holding materials specified by user. Many steps are followed in hyper-spectral image classification such as preprocessing, features extraction with dimensionality reduction and classification. The preprocessing is used to reduce the noises using Median filtering with Anisotropic diffusion (AD) approach. Dimensionality Reduction technique is often used to reduce the large volume of data. Discriminative local metric learning approach is applied to reduce the hyper spectral cube image dimension, thus retaining the significant components for further processing. Finally Recurrent Neural Network (RNN) algorithm is implemented to classify the features with improved accuracy. The proposed work outperforms the existing approaches in terms of accuracy and error rate measurements.
Keywords: Hyper spectral imaging; Diffusion approach; Classification; Features extraction; Neural networks; Class labels.
COMBINATION OF AUDIOVISUAL MESSAGE DESIGN ON PREVENTION TECHNIQUE OF COCOA PEST ATTACK USING VIDEO MEDIUM AS EXTENSION MEDIA
by Anna Gustina Zainal
Abstract: This study aims to determine of improvement farmers\' knowledge about cocoa pests using video, and the influence of knowledge improvement of cocoa farmers. The researcher conducted an experimental research involving 80 respondents randomly selected from four farmer groups in Way Jepara Subdistrict and Mataram Baru Subdistrict, East Lampung District, Lampung Province, Indonesia, where respondents were divided into two groups and each group received 2 treatments. Data of respondents knowledge level was obtained through pre-test and post-test method. While the analysis of relationship between variables using technique of analysis of variance (ANOVA). The results showed that the differences of farmers knowledge before and after the experiment; but the type of narrative language used in video did not affect in farmers\' knowledge improvement. The study also found that the message presentation through video medium, and the form of narrative presentation used was presentation form by direct narration.
Keywords: communication; prevention technique; message; audio visual.
A Theoretical Study on Managing the Intangible component of the Knowledge base of an Organization
by Srinivas Kolachina, K. Bhavana Raj
Abstract: Any organization employing human resources must be very focused and strategic in preserving the intangible component, called, knowledge of the intellectual sources with the best care. Inevitably this can be one of the significant responsibilities for Human Resource professionals. Knowledge Management originates from the objective of creating support, transferring and applying knowledge in the organization. Acquiring knowledge sources, identifying their core expertise and deploying them into a well- structured knowledge management system makes an organization to have an innovative and potential intellectual database built within. The theoretical study aims at exploring various dynamics of knowledge management vide elucidating the meaning and significance, thereby understanding the pros and cons of managing the same. The Skill web and Peer to Peer Learning are two crucial aspects to be borne in mind for effective and efficient implementation of Knowledge Management. The Success story of Siemens value adds the significance of managing the intangible component of intellectual resources.
Keywords: Intellect; Knowledge; Manage; Learning; Resource.
Role of Advertising and Promotional Strategies in shaping consumer brand attitude regarding consumer durable retailers in Vietnam
by Cuong Hung Pham
Abstract: Abstract: Purpose: Marketing communication is changing day by day as the customer touch points, buying points, preferences and stores choices are changing, the advertising and promotional strategies are also changing. The purpose of this paper is the find the role of advertising and promotional strategies in shaping consumer brand attitude in the area of consumer durables in Vietnam.
Design/Methodology: The present paper is exploratory cum descriptive in nature. The study uses primary data collected with the help of structured questionnaire from 638 respondents. The scale development and scale validation has been done through confirmatory factor analysis and validity and reliability analysis testing respectively. Structural equation modeling has been applied to establish the relationship between advertising & promotional strategies and brand attitude.
Findings: It has been found from the study that there are four constructs of advertising and promotional strategies namely advertising, sales promotion, direct marketing and word of mouth. All these constructs have significant impact on shaping brand attitude.
Originality/Value: The study establishes the relationship among advertising and promotional strategies and brand attitude. Such a comprehensive relationship has not been found in the extant literature in the context of consumer durable retailing.
Keywords: advertising ; promotional strategies ; structural equation modeling; brand attitude.
A PRIVATIZED APPROACH IN ENHANCED SPAM FILTERING TECHNIQUES USING TSAS OVER CLOUD NETWORKS
by Mano Paul, Diana Jeba Jingle I
Abstract: Major problem over Cloud Networks is the effect of malicious code that protrudes its own activity without intend of network user in resource sharing. One such activity is the spam filtering techniques which assumes the data with training and testing sets and also rely on fundamental classification through distribution. The so far security controls may be useful in the prevention over the access of adversaries, hackers and intruders in network filtering such as firewall, virtual private networks and encryption algorithms. A Privatized Spam filtering approach is a classic problem which automatically recognizes user context and incoming mail information relevance. To filter mail contents learning based methods, probabilistic based method trying to improve their accuracy but they cannot attain an improvement in identifying suspicious contents and also in segregating legitimate mail entries. An email service provider collects its training data from different resource over cloud and place in its user inbox with the process of encryption. Here a novel representation of Structured Abstraction Scheme (SAS) used to generate abstraction in email process using HTML tag content in email and its algorithm for filtering such process of spam filtering is depicted. In this SAS methodology near duplicate matching process with HTML tag ordering will be processed and newly assigned position ordering were deliberated. This work focus on content analysis in which mutual information loss will be minimized in word features and in email tags in classification and also in tag reordering. The experimental setup shows that there will be a great improvement while filtering spam in accuracy of email content while sharing in cloud networks
Keywords: Spam detection; Abstraction scheme; Spam ontology; Privatized e-mail Spam Filtering; cloud networks.
Optimal Power Flow with Renewable Energy resources using Static VAR Compensator and Grey-Wolf Optimization
by M. Rambabu, Nagesh Kumar G.V, Sobhan P.V.S.
Abstract: The technical and economic performance of electrical power system networks is being improved by interconnecting renewable energy sources like solar, wind to the conventional power systems. In this paper, a Composite Bus utilization index is proposed for the placing of static VAR compensator (SVC) and further sized using Grey wolf algorithm(GWO) for reduction of fuel cost with valve-point effect, real power losses, and carbon emissions in a power system with renewable energy sources. Composite Bus utilization index (CBUI) is a blend of L-index and Vi /Vo index and determines the weak bus of the modern electrical system. The deliverable power of wind and solar generation is determined by the Weibull probability density function (PDF) and Lognormal PDF and interconnected to the power system network. The SVC is placed at the maximum value of CBUI,and the tuning of SVC at the proposed location is done with Grey Wolf algorithm. This methodology is applied to IEEE 57 bus systems to check the effectiveness of the approach under various loading conditions
Keywords: Static VAR Compensator; Optimal Reallocation; Grey wolf algorithm; Lognormal; Weibull PDF; carbon emission; Valve point effect.
A new approach to multi-objective transportation problem for binding relationship between warehouse to consumer and consumer to consumer
by Bhabani Mallia, Chakradhar Das, Manjula Das, Srikanta Patnaik
Abstract: A special type of multi-objective transportation problem with emphasis on consumer to consumer relationship is presented. The objective is to minimize total transportation cost along with source to consumer and consumer to consumer association/relationship in vicinity of the source. A lexicographical goal programming model has been applied. Two phase approach has been made. In the first phase the total transportation cost is minimized. In the second phase, overall independence value of the consumer to consumer association/relation is minimized. This model can give a better result than a single objective transportation model. That is because the source to consumer association/ relationship is considered in the first priority to get the lowest cost and the vicinity of consumers in the periphery of the source. In the second priority grouping is made for consumers to be served in the same warehouse, provided the capacity of the source is sufficient to meet the consumer's demand.
Keywords: Transportation problem; Multi-objective; lexicographic goal programming; consumer to consumer relationship.
Identifying Relation, Problem, and IT Approach of Design and Planning in Engineer-To-Order (ETO)
by Pandu Dwi Luhur Pambudi, Mahendrawathi ER
Abstract: The primary driver of the complexity of planning in an engineer-to-order (ETO) project is the uncertainty of design deep into the engineering and production process. There are no studies that explicitly identify and analyze systematic literature review (SLR) results using a content analysis approach on the topics related the relation between design and planning; the problems appeared during the design and planning phase, and the IT approach in ETO company. This paper presented the systematic literature review results using a content analysis on a comprehensively and systematically generated survey samples. The results confirmed if the design has strongly associated with planning. The dynamic and deterministic problems widely discussed in the planning problems. On the other side, uncertainty and variability become the broad topics discussed in the design problem. The findings showed that the IT approach using ERP and CAD were the most attractive approach discussed by several previous studies in the field of ETO Company.
Keywords: engineer-to-order (ETO); Design; Planning; IT Approach; Systematic Literature Review.
Technological Innovation: Classification Model and Future Research Agenda
by Alaa M. Ubaid, Refaat Hassan Abdel-Razek
Abstract: Previous innovation classification models suffer from duplications, gaps, and overlaps. A comprehensive innovation classification model was proposed in this paper. The proposed model present and explain the concept of multidimensional innovations, fill the gaps in the previous classification models, integrate the classical and the modern innovations types, explain the relationships between innovations types, and help to propose future research directions. The overlaps between innovations types were identified and unified. For classical innovations' types, four-dimensional innovations levels analyzed and presented in the model. The analysis showed that the higher innovations levels stem from the combination of the lower innovations levels with decreased numbers of innovations as we move to the higher innovations levels. The proposed model incorporates innovations types that have been ignored in the previous models, which maximize the benefits of this model. SLR methodology adopted in this research reveals the identification of many future research directions.
Keywords: innovation; types; classification; typology; sustainability; eco; resources-constrained.
Information Security Protection for eHealth records using Temporal Hash Signature
by Charanya R
Abstract: Patient Health record information management becomes an important and challenging task through different practices are followed by hospitals. Also, the risks associated with securing the data from cyber-attacks and data breaches become inevitable. Ransomware is the biggest cyber-attack in the history of National Health Service (NHS) which has affected nearly 100 countries worldwide in 2017. In the healthcare system, loss of sensitive data leads to embarrassment whereas loss of integrity leads to loss of the patients life. Though many technical solutions exist to store the Electronic Health Record (EHR) information in a secure way, still it is not sufficient to satisfy the security requirements such as clear attributes for role-based access, common regulations that protect patients privacy and specific guidelines to control the data. This paper provides a brief discussion on existing security mechanisms with a proposal based on the temporal shadow in the cloud. The integrity of the patients document is modeled with linked records and verified by a temporal signature.
Keywords: eHealth; EHR; Temporal Hash Signature; Binary merkle tree.
Analysis of dependence of grade point average over psychological factors incorporating advanced data mining
by Leena Khanna, Shailendra Narayan Singh, Mansaf Alam, Ritu Kumar
Abstract: Academic performance of any individual is dependent upon numerous aspects regarding the day to day life of the individual under consideration. Academic performance is measured in terms of the grade point average or GPA as it is called. Grade point average is dependent not only on the faculty but also on various cognitive and non-cognitive factors. The non-cognitive or the psychological parameters includes factors like study habits, social anxiety, extraversion and allied. In this study, a detail analysis of numerous psychological factors that can impact the grade point is studied. Bases on the various psychological factors studied, the performance of an individual is classified and in forthcoming examination can be forecasted.
Keywords: Forecasting; Grade Point Average; Achievement Motivation Scale; Study Habits; extraversion; conscientiousness; social anxiety; emotional competence; self-efficacy for children.
Feature Selection for Stock Price Prediction: A Critical Review
by Binita Kumari, Srikanta Patnaik, Tripti Swarnkar
Abstract: Stock price prediction has drawn huge attention due to its impact on economic stability. Accurate stock price prediction is highly essential to reduce the risk associated with it so as to decide good investment strategies. There are various factors influencing the prediction of stock indices namely gross margin, exchange rate, inflation rate, relative index and so on. Feature selection plays a vital role in effective and accurate prediction of stock indices. This paper aims to provide a clear review of widely used features affecting the stock price fluctuations, feature selection techniques and prediction models from the recent literature.The study also highlights the future directions in this domain focusing the enhancement of the prediction performance.
Keywords: features; feature selection; stock price prediction.
Special Issue on: ICACB'18 Advanced Intelligent and Communication Systems
Near-Zero Computing using NCFET for IoT Applications
by Kishore Sanapala, Satyanarayana S.V.V, Sakthivel R
Abstract: The Internet of Things (IoT) is an emerging application area which is going to become one of the leading electronic hubs in the semiconductor industry. The energy consumption of the devices or circuits built on the IoTs is becoming a significant concern with the Complementary Metal Oxide Semiconductor (CMOS) technology scaling. In the recent times, to reduce energy consumption, supply voltage scaling has proved to be an effective technique with near-threshold/subthreshold computations depicting the endpoint of voltage scaling. This paper discusses how the Near-Zero Computing (NZC) is achieved by scaling the supply voltage (VDD) beyond the subthreshold regime using the Negative Capacitance FET (NCFET) to enable IoT with beyond CMOS features. After characterizing the NCFET for near zero operation, the basic computational circuits: logic gates and 1-bitfull adder circuit are designed using NCFET at near-zero VDD of 0.1V. The circuits were simulated using Intel-45nm technology. Performance parameters such as power, delay, energy, and Energy-Delay Product (EDP) are compared with the CMOS counterparts. From the comparisons, the NCFET logic designs have achieved significant improvements than CMOS designs and is found that the NCFET logic results in more than 54%, 68%, 85%, and 95% savings in power, delay, energy, and EDP respectively for the design of conventional full adder circuit.
Keywords: CMOS; Energy; IoT; NCFET; NZC.
A Key-Escrow Free Identity-Based Signature Scheme Without Requirement of a Secure Channel in the Private Key Issuance Phase
by Subhas Chandra Sahana, Bubu Bhuyan
Abstract: Identity-Based Cryptosystem (IBC) provides us the simplest key management procedures over traditional Public Key Cryptosystem (PKC) as it eliminates the need for certificates of PKC. Hence, no certificate management activities are involved in IBC. However, there are two major drawbacks with the identity-based cryptosystem. One is the key-escrow problem and the other one is the necessity of a channel which is secure for the transmission of the private key, generated by a trusted center called Key Generation Center (KGC). In this work, we propose an identity-based signature scheme, fitted in an existing established variant IBC model. The proposed scheme avoids the necessity of the secure channel as well as it is key-escrow free. The proposed scheme is constructed using bilinear pairings and based on the blinding-binding technique.
Keywords: identity-based cryptosystem; digital signature; key escrow problem;
bilinear pairings; blinding-binding technique; key generation center.
An Incremental Approach for Hierarchical Community Mining in Evolving Social Graphs
by Keshab Nath, Swarup Roy, Sukumar Nandi
Abstract: Community members which are highly connected with each other inside a community tends to create sub-communities, commonly termed as intrinsic or hierarchical communities. Finding intrinsic communities help us to reach out specific user needs, understanding the network dynamics and unveiling the functional and hidden aspects in the network, which is difficult without unveiling intra and inter-community all kinds of relationship. With the passage of time, members of a community may acquire different interests, leads to movement of members within different communities. Frequent changes in the relationship of members towards a community make the task of community
detection even more challenging. In this work, we propose a new community detection method, embedded communities from evolving networks (ECEnet), for handling intrinsic communities in evolving networks. We adopt a density variation concept to detect the intrinsic communities in growing networks. We use a new membership function to measure the contiguity of a member towards a community. We use both synthetic and real-world social networks for our experimentation. Experimental results reveal that ECEnet is successful in detecting intrinsic or hierarchical communities in a dynamic scenario.
Keywords: intrinsic communities; hierarchical communities; evolving networks; dynamic communities; incremental clustering; embedded cluster; density variation.
OBJECT CATEGORIZATION AND FLAME APPREHENSION
by Santhosh Kumar B, Velliangiri S, Ajayan J
Abstract: Object categorization is a customary errand of PC observation which includes deciding if a picture contains some particular class of question. The thought is firmly related with acknowledgment, arrangement, and misgiving. There are numerous techniques to speak to a division of articles, from shape investigation, or neighbourhood inscriptions, for example, SIFT, and so forth. The possible point is to extricate semantics from video to be utilized as a part of larger amount action examination undertakings. Arranging the kind of an uncovered video question is a significant advance in accomplishing this objective. Nonetheless, late research has demonstrated that question groups and their areas in pictures can be found in a freely way too. Our contemporary question arrangement calculation influences utilization of the closer view pixel to delineate to every individual associated area to make a blueprint for the protest. Customarily fire sensors which sense the nearness of specific particles created by smoke and fire by photometry were utilized to recognize fire. Normal sensors mean to detect particles, accordingly, an essential shortcoming of point locators is that they are separate limited and decay in open spaces. In this paper we depict the computational models utilized in our way to deal with achieve the objectives indicated previously
Keywords: Fire identification; FlameColor; Contour Pattern; Object categorization.
Efficient Wideband Filter Using Closed Loop Resonator with coupling lines
by Oudaya Coumar, S. Tamilselvan
Abstract: This paper is about a wideband filter using closed loop resonator with inter-digital coupling lines. The square resonator is used as closed loop structure integrated with inter-digital coupling on both sides which plays a major key role in this filter design. The proposed wideband filter can be employed in UWB receivers since the operating band of UWB is matching with operating bandwidth of this filter. Design and EM Simulation of the UWB filters characteristics are discussed in this work. The proposed UWB filter produces tremendous bandwidth ranges from 2.3 GHz to 8 GHz. The filter evaluation parameters like return loss, insertion loss, phase and group delay are obtained and their responses are analysed. The complete size measurement of the filter is achieved to be 39mm
Keywords: Insertion Loss (IL); Return Loss (RL); square resonator; and ultra-wideband filter (UWB).
AN ANALYSIS OF COMMITMENT AMONG COLLEGE TEACHERS
by Lovelin Auguskani P, Sreedevi V, Jerlin Priya
Abstract: The study An Analysis of Commitment among College Teachers. was carried out Nagercoil at Kanyakumari District. The study helps to understand the commitment level of college teachers. The study was conducted with a sample size of 158 teaching staff, data has been collected through questionnaire. This research paper is through analyzed with primary data which was collected conveyance sampling techniques.This study investigated the commitment among college teachers. The findings from the analysis indicated that the level of organizational commitment is high among the college teachers in Nagercoil at Kanyakumari District. One Way analysis is used to find Variance between the category of appointment and the three commitments level (affective, continuance, and normative) and find variance between the designation and commitment. Majority of government aided respondents are having high level of affective, and normative commitment and self finance respondents having high level of continuance commitment. Assistant professors are having high level of affective, and continuance commitments, Associate Professors are having high level of normative commitment. In order to maintain this level the management should take various initiatives which will motivate the faculty to remain committed towards their job and responsibilities.
Keywords: Affective; Continuance; Normative; Education; Teachers.
LIFI Based Smart Systems for Industrial Monitoring
by Prabakaran N., Naresh K., Kannadasan Rajendran
Abstract: Light Fidelity (Li-Fi) is an unfolding technology which can be used to transfer data through light. It is a complete transformation to the world of wireless data transfer. Harald Haas from the University of Edinburgh, United Kingdom termed and introduced Light Fidelity to world through the global talk show in which he demonstrated of a Li-Fi prototype at the TED Global conference in Edinburgh on 12th July 2011. Challenging the pre-existing data transfer model namely the Wireless Fidelity (Wi-Fi) on various parameters such as speed, safety, reliability eco-friendliness and efficiency. The light emitting diode in a Li-Fi system is the source of data transfer utilizing visible light as medium of communication. This can provide greater download capacity in comparison to the existing wired or wireless networks due to higher bandwidth of light. With such high potential every electronic day to day use commodity that has role of light over it can be thought of to be used as an internet accesses point. Since it can't penetrate through walls they have short range but are highly secure in the confinement of the surrounding in comparison to Wi-Fi and overcome the radio frequency bandwidth availability issues in the near future.
Keywords: Bandwidth Light emitting diode:rn Light Fidelity; Visible light Communication; Wireless Fidelity;.
Product recommendation system using optimal switching hybrid algorithm
by P. Bhuvaneshwari, A. Nagaraja Rao
Abstract: With the advent of e-commerce on the internet era, people prefer to do online shopping by just clicking the corresponding website. E-commerce website holds a million of products with a lot of information about it. As it holds the wide variety of products in the same category, the customer feels difficult in choosing the desired one they exposed to. To overcome this information overload issue and to attract the customers, the term recommendation system was introduced in an e-commerce system. The recommendation system works as a heart in the business strategy of e-commerce companies like Amazon, Flip-Kart, ebay, etc. initially, collaborative filtering technique was utilised by most of the recommendation engine for reaching out the customers by providing the right product and the services at the right time. Even though it is popular and highly valuable, it faces the challenge of recommending the products for the new user (cold start problem). In this study, we propose an optimal switching hybrid approach (OSHA) to overcome the above problem where demographic filtering technique is employed to find the similarity of users and the combination of CF prediction mechanism provide the basis for processing the recommendations. The OSHA is the combination of collaborative filtering and demographic filtering techniques where it switches between the context depending on the scenario. Similarity prediction measure and K nearest neighbour algorithm are used to predict the similar kind of users with size K. The experimental results show that the proposed algorithm performs better and improves the performance of the recommender system than the standalone technique.
Keywords: e-commerce; collaborative filtering technique; cold start problem; optimal switching hybrid approach; OSHA; demographic filtering technique; k-nearest neighbour algorithm.
Comparison of Automated Leaf Recognition Techniques
by Mahmudul Hassan, Arnab Kumar Maji
Abstract: Plant plays an important role in different ways in human life and atmosphere. There are large numbers of plant species in the world. Plant species plays a vital role in many domains such as preventing some the diseases, farming, environment, discovery of new drug and other related areas. Recognition of plant species without expert understanding is a huge task. There has been great demand for applying automatic computer vision technologies to increase botanical knowledge. Using leaf features and traits, the classification and identification of plant is carried out. Leaf features like shape, texture and venation are the features most frequently used to differentiate the plant species. Different methodologies are there to extract the feature and to classify the leaf images using classifier. In this paper we are going to discuss on different leaf recognition approaches along with feature extraction methods and their performances.
Keywords: ANN(Articial Neural Network); CNN(Convolution Neural Network); Deep learning; PNN(Probabilistic Neural Network); SVM(Support Vector Machine).
A Detail Study on Context-Aware Architectures in Internet of Things
by Deeba Kanmani, Saravanaguru RA.K
Abstract: Internet of things is used to get the data around the world at your fingertip. As we move towards IoT the role of sensors has become vital. These sensors generate a vast amount of data. Sensors are used to sense and collects parallel information from the given set. We propose Context-aware for an Internet of things architectures which computerize the task. In this paper, we will discuss about the architecture of context-aware, IoT and context-aware reasoning. The principle objective of this paper is to audit existing architecture identified with context-aware and IoT and to make the comparative analysis table. The principle point is to enable the clients to present the issues and our proposed design enhances and delivers important information.
Keywords: Context aware; Internet of Things; Middleware; Context Reasoning; Nature Inspired Algorithm; Middleware architecture.
ENHANCING SECURITY BY TWO WAY DECRYPTION OF MESSAGE PASSING OF EMR IN PUBLIC CLOUD
by PRATHAP R, MOHANASUNDARAM R
Abstract: Encryption is one of the most critical and mandatory technique to provide security in outsourced data. Message passing is the most unsecure place of transfer of dangerous information's, and this message passing is made the end to end encryption to avoid a centralized security agent to access the data. Existing methods of encryption only provide end to end encryption which is not feasible for certain situations like implementing authentication. When the end to end encryption is made, the messages are always not known to the central authentication agent like CBI, in this paper, we provide a two side decryption algorithm that can be decrypted by two entities (one receiver and the other is the central authentication agent). Thus improving the message passing security by allowing the centralized authentication agent to read the transferring words. We implemented this two-way decryption in trip database dataset, and the experiment results prove that our proposed algorithm improves the security of message passing of Electronic Medical Records in public cloud while comparing with existing encryption algorithms.
Keywords: Cloud; EMR; Encryption; Decryption; Authentication; Authorization.
Changed Detection of Landsat 8 Imagery using Object Based Image Analysis with Particle Swarm Optimization
by Amitabha Nath, Amos Bortiew, Goutam Saha
Abstract: This paper addresses the problem of classification of hyperspectral remote sensing image and detection of any changes in the land use pattern using it. Traditional pixel based classification approaches often fail to achieve acceptable accuracy in classifying Landsat images because of its complexity. Therefore, present work aims to apply object based-image analysis (OBIA), which is a concept that combines segmentation and classification together into one unit. We propose a hybrid OBIA architecture, augmented with particle swarm optimisation (PSO) technique to fine tune different hyperparameters involved with it. We present its success on a classification problem where two sets of landsat-8 images captured in the year 2016 and 2017 are considered as input and OBIA is applied for classifying the images into four major land use classes and detect any changes in these classes over the period of time. The results are then compared with best pixel based classification approach known as random forest (RF) classifier to determine its effectiveness in classification of hyperspectral images. Statistical measures like precision, overall accuracy and kappa coefficient are used as a parameter for comparison.
Keywords: Landsat 8 image; RF; object based-image analysis; OBIA; particle swarm optimisation; PSO; changed detection; accuracy assessment.
An Analytical Hierarchical Process based Weighted Assessment of factors contributing Precipitation
by Vaishnavi Balaji, J. Karthikeyan, Kiran Yarrakula
Abstract: The analytical hierarchical process is a prioritising algorithm used in the field of multi-criteria decision making system. AHP has a special capability to handle intangible criteria, this exclusive nature strengthened its popularity. In this work, AHP is exercised to prioritise parameters that contribute to precipitation. Precipitation is any form of water that reaches the earth surface from the atmosphere such as rain, dew, snow, etc. Recent researches consider precipitation as one of the crucial phenomena of climate change and lots of modelling techniques are proposed to predict precipitation using varied parameters. The significance of the study is to address minor fallout of AHP in rank reversal and uncertainty in ranking the given parameters, by attempting to prioritise six basic climatic parameters such as maximum temperature, wind velocity, relative humidity, solar radiation and elevation, which are considered to contribute precipitation.
Keywords: analytical hierarchical processing; AHP; precipitation; climatic factors affecting precipitation; multi-criteria decision making algorithm.
A Hybrid Medical Image Coding Based on Block Truncation Coding and Residual Vector Quantization
by P. Chitra, M. Mary Shanthi Rani
Abstract: The advancement of medical field has witnessed tremendous growth with state of the art imaging technologies for accurate diagnosis, which in turn demands efficient storage of medical images. Further enhance the image quality RVQ is implemented in the proposed method. The proposed work aims at developing an effective algorithm for compressing medical images exploiting the advantages of Block Truncation coding(BTC) and Residual Vector Quantization(RVQ). The advantage of the Block Truncation Coding (BTC) is twofold: 1. It is simple to implement and 2. Involves less computational complexity. RVQ is used to enhance the quality further. In the proposed method, the input image is compressed using BTC in the first phase. The residual error out of first phase is subjected to RVQ in the second phase. The novel feature of the proposed method is the adaptive procedure of RVQ based on the variance of residual vectors. High variant residual vectors are subject to vector quantization and low variant vectors to scalar quantization respectively. Furthermore, the residual values are normalized to positive values, so as to preserve their sign, before quantization. Experimental results show the superior performance of the proposed method in terms of compression metrics.
Keywords: Block Truncation Coding; Residual Vector Quantization; Image Compression.
Special Issue on: ERPBSS 2018 Shifting Dynamics in Business
Supply Chain Transparency, Ethical Sourcing, and Synthetic Diamond Alternatives: Exploring the Perspectives of Diamond Retailers
by Meike Schulte, Cody Paris
Abstract: Supply chain transparency is central to sustainable business operations, and consumers are more proactively seeking out socially responsible goods and services. At the same time, the diamond industry has traditionally been opaque. The perception of blood diamonds continues to be a challenge to the industry. The purpose of this paper is to explore the importance and perspectives of supply chain transparency of diamond retailers in the UAE and their perceptions of the importance of transparency and ethical sourcing for consumer diamond purchasing decisions. The research findings suggest that retailers currently perceive the consumers to be indifferent or unaware of the complexity of transparency in the diamond supply chain. However, some consumers did inquire about the origin. Additionally, as they are at the end of the supply chain retailers do not have the means to guarantee that diamonds are ethically sourced.
Keywords: Diamond Industry; Conflict Diamonds; Synthetic Diamonds; Provenance; Sourcing Conditions; Ethical Sourcing; Supply Chain Transparency; Diamond Jewelry Retailers.
SAUDIS PERCEPTION OF MEDICAL INFORMATION PRIVACY:
A POINT-OF-VIEW ON THE USE OF MEDICAL TECHNOLOGY
by Hussein El-Omari
The use of electronic medical technology EMT offers different types of benefits in health care but also pose certain risks. As Saudi Arabia progresses toward the implementation of this type of medical records, a more in-depth understanding of attitudes that influence overall levels of EMT support is required. This article examined the perception of Saudi consumers (patients) regarding the privacy of their electronic medical records. The findings of this study showed that Saudis concerns regarding the privacy of their electronic medical records did not indicate any significant difference regarding the respondents duration of service with current provider, or their gender. On the other hand, significant differences were found regarding Saudis concerns about privacy and their education levels, age groups, and marital status.
The social and cultural of Saudis drives them to care a lot about their personal privacy as their social life restricts revealing sensitive issues to strangers, especially when it comes to females and/or family members. They also still have lack of confidence in electronic issues/devices as many social problems surface every now and then in Saudi society that usually have unfortunate consequences. For example, many social problems have surfaced because of Saudis using social media on their mobiles.
The findings of this study are of great importance to the marketing of health services in Saudi Arabia, which have great deal of importance to Saudi consumers (patients). Therefore, the concept of information privacy must be appreciated as this sector is becoming very competitive. Developing a successful marketing strategy for this type of service requires careful consideration of all social, cultural, and legal issues of the Saudi environment.
Environment of Saudi Arabia
Medical Sector of Saudi Arabia
Special Issue on: Innovative Business and Organisational Transformation Practices
Workplace Spirituality and Employees Readiness for Change as Precursors to Innovative Work Behaviour: an Empirical Examination
by Nimitha Aboobaker, K.A. Zakkariya, Manoj Edward
Abstract: Organisational performance and sustainability in the contemporary technological world is largely driven by the relentless change and continuous innovations brought about by employees. In this context, this paper investigates the relationship between workplace spirituality and innovative work behaviour, based on an empirical research conducted among 208 employees working in information technology sector. The study also examined the mediating role of individual readiness for change in the aforementioned relationship. The three dimensions of workplace spirituality had varying influences on outcome variables. Employees with higher experiences of meaningful work and alignment with organisational values had higher readiness for change and innovative work behaviour. Findings of this study revealed no significant direct effect of sense of community on innovative work behaviour of the employees. Nevertheless, sense of community had an indirect effect on innovative work behaviour, through the mediating role of readiness to change. Implications for employees experience of workplace spirituality and outcomes, so as to meet the challenges of a volatile, uncertain, complex and ambiguous (VUCA) business environment are elaborated.
Keywords: alignment with organisational values; innovative work behaviour; job design; meaningful work; organisational culture; readiness for change; sense of community; teamwork; workplace spirituality.
Economic, Political and Institutional Determinants of Foreign Direct Investment Inflow in Emerging and Developing Asia
by Anil Kumar Goyal
Abstract: This study investigates the role of economic, political and institutional factors in attracting foreign direct investment (FDI) inflow in top five host economies of emerging and developing Asia consisting of China, Hong Kong, Singapore, India, and Viet Nam for a period of 20062016. The study is based on determinants, identified from literature review on the basis of their relevance and significance, of FDI inflow. The study uses fixed effects panel regression in order to measures the significance of determinants of FDI inflows in top five host economies of developing Asia. Findings of panel regression model reveal that most of the economic variables seem to be statistically significant and determinants FDI inflow as compared to institutional and political variables of FDI. After imputing variables into economic, political and institutional, multiple regression estimates indicate that the coefficients of economic and institutional factors are significant as determinants of FDI inflow in developing Asia.
Keywords: determinants of FDI inflow; economic; political and institutional factors; emerging Asia; developing Asia; FDI host economies; China; Hong Kong; Singapore; India; Viet Nam; panel data; fixed effect; multiple regression.
Price Discovery and Volatility Transmission in the Spot and Futures Market of Pepper: An Empirical Analysis
by Asha Nadig, T. Viswanathan
Abstract: Pepper, the king of spices, is one of the oldest and widely traded spices across the world over many centuries. As a commodity traded in the spot, futures and export market, global demand and supply play a crucial role in shaping pepper price and volatility. As price risks are integral to farmers and traders, forecasting successive prices will be of great help to them. The price risk can be minimised through effective hedging. The futures market provides a platform for both hedging and speculation. Hence understanding the relationship between spot and future market is essential for the traders of commodities. This paper examines the price discovery mechanism and volatility transmission between the spot and futures prices of pepper. Applying the statistical, seasonal variation and econometric models for forecasting, forecasting accuracy is tested. The Holt-Winters model gives biased estimate of future prices. The ARIMA model is the appropriate model to forecast the price of pepper.
Keywords: forecasting; price discovery; co-integration; volatility spill over.
Analyzing the Entrepreneurial Intentions through Intellectual Capital: Evidences from India
by Ahmed Musa Khan, Mohd Yasir Arafat, Mohd Anas Raushan
Abstract: Intellectual capital is defined as the knowledge that can be converted into value. Intellectual capital has received a considerable attention from in the field of innovation performance. Still, there is a paucity of research which identifies the role of intellectual capital in creating ventures. This research is an attempt to examine the influence of intellectual capital on start-ups. A large data set of responses from 3360 respondents from India has been provided by the largest entrepreneurship research project Global Entrepreneurship Monitor has been used. A logistic regression technique is employed to measure the influence of intellectual capital on entrepreneurial intentions. The results show that all the components of intellectual capital, human capital, structural capital and relational capital have a positive and significant impact on entrepreneurial intentions. The study suggests that policies should be proposed to develop human capital, structural capital and facilitate interaction between existing and potential entrepreneurs so that new venture creation can be fostered. This research falls among the initial studies investigating the relationship between intellectual capital and entrepreneurial intentions. The review of literature reveals that very few studies based on large data set are conducted in developing countries like India.
Keywords: Intellectual Capital; Entrepreneurial Intentions; Human Capital; Structural Capital; Relational Capital.
Impact of Organizational Justice on Perception of Ability-Job-Fit in Changing Environment
by MRINALI Tikare
The study aims to investigate the association/relationship among Procedural Justice, Distributive Justice and Perceived-Ability-Job-Fit.
This quantitative study has adopted the objectivism approach and is deductive in nature. Data were collected by using Multi-stage Probability Sampling Method from 274 Class-I employees working in Multinational General Insurance Company a subsidiary of Central Government of India. The scales developed by Sweeney & MaFarlin (1997) for Procedural Justice (PJ) & Distributive Justice (DJ) and Abdel-Halim (1981) for Ability-Job-Fit was selected. The techniques used for data analysis were Descriptive Statistics, Pearson Correlation and Multiple Regression.
The respondents have positive perception about their ability to perform the job and they are optimistic about the fairness of prevailing procedures and distribution of rewards followed by their organization which is indicated by high mean scores. The positive DJ & PJ perceptions proportionately increase the perception of Ability-Job-Fit. The result of Multiple Regression analysis indicated that two independent variables (DJ & PJ) explained the variance in Perceived-Ability-Job-Fit (Dependent Variable). The perception of PJ is making a statistically significant unique contribution to the prediction of the Perceived-Ability-Job-Fit.
The findings will be useful for employees to reduce stress by understanding the Fit Concepts. The HR practitioners can predict the behavior of their employees by executing the fairness practices in the system. The top-management can win trust and thereby expect support from their employees, even during dynamic/volatile business environments by implementing appropriate PJ in the organization.
For the first time, the study has attempted to establish a direct relationship between fairness perception and ability fit/congruence perception of employees. It may lead the future researchers to work in-depth on this model. The analysis of the study did not consider the effect of demographic variables. It should be noted that there are several concerns while generalizing the findings of this study.
Keywords: Distributive/Procedural Justice; Perceived-Ability-Job-Fit; experienced government employees.
Special Issue on: Advances in Approaches and Methods for Decision Making Using Optimisation and Artificial Intelligence Techniques
Grey based decision making approach for the selection of distributor in supply chain
by Peeyush Vats, Gunjan Soni, Ajay Pal Singh Rathore, Om Ji Shukla
Abstract: The objective of this research article is to select the most appropriate distributor in a supply chain by applying a grey approach. This approach is based on the selection criteria of a distributor. This approach may be very much helpful to select the most suitable distributor in a supply chain among all alternatives of distributors available in the existing supply chain. This approach may be used as a tool to solve the multi-criteria decision-making problem by supply chain managers in different aspects. For implementing this approach, a case study has been carried out from a large-sized bearing manufacturing company for deciding the best alternative of distributor available existing in the supply chain. In this case study, eight selection criteria for the selection of a distributor and four distributors have been considered. A grey approach is implemented for selecting the most suitable distributor based on eight selection criteria among all the four distributors available in the existing supply chain. There is a significant amount of literature available on grey-based decision-making methods for solving multi-criteria decision-making problems. In this article grey-based, decision-making approach has been discussed in a very detailed manner for the selection of the best alternative of distributor by providing the comparative ranking to the alternatives and some specific weights to the selection criteria of the distributor.
Keywords: Grey approach; Supply Chain; Distributor; Multi-criteria decision making problem.
The Effect of Travel Safety Experience on Passenger Satisfaction
by Pankaj Deshwal
Abstract: Purpose The aim of the study is to ascertain the dimensions of safety experience of the female passengers as regards to metro rail services provided by the Delhi metro rail in India. The impact of these dimensions on satisfaction is to be assessed.rnDesign/methodology/approach The female safety experience dimensions are obtained by performing an exploratory factor analysis. The research was conducted using survey method. A structured instrument was used to collect responses from the female passengers. Further, the reliability of the dimensions is ascertained followed by multiple linear regression analysis using SPSS s/w.rnFindings As a major output of the present research, nine dimensions viz. experience with other passengers, teasing experience, feeling towards metro rail, staff experience, outside metro station experience, compartment experience, behaviour experience, entry experience and recovery experience emerged as dimensions that lead to female passenger satisfaction as regards Delhi metro rail services. Further, the outputs of multiple linear regression revealed out of these nine dimensions, five dimensions, namely, feeling towards metro rail, experience with other passengers, recovery experience and staff experience are found to be statistically significant at 1 or 5 percent significance level.rnOriginality/value Authors believe this is the first effort that ascertains the dimensions that lead to female safety experience as regards to Delhi metro rail services and explore the impact of these dimensions on female passenger overall satisfaction. rn
Keywords: Female; safety experience; satisfaction; metro rail; regression; factor analysis.
Sustainable Supply Chain Risk Mitigation: A mixed method approach
by Madhukar Chhimwal, Saurabh Agrawal, Girish Kumar
Abstract: The objective of this research is to find a way to minimize risk in the supply chain by identifying the critical success factors and analyzing the relationship between sundry critical success factors. Proposed study construct a model of the critical success factors using the Interpretive Structural Modeling approach and test the model using regression analysis technique. Analysis of the results indicates that there are some critical success factors which have high driving power and low dependence that require utmost attention and are of great paramount while other cluster consists of those critical success factors which are highly dependent and need futuristic actions. In this work, only regression analysis technique is used to validate the model that is developed using Interpretive Structural Modeling approach. This type of relegation will help the supply chain managers to distinguish between independent and dependent critical success factors and how the relationships among the critical success factors will efficaciously minimize the risk in a supply chain. This study can be considered as a base study for the practitioners and academicians who are working in the area of risk management for achieving sustainability in the supply chain.
Keywords: Sustainable supply chain management; Interpretive Structural Modeling; Regression analysis; Risk Mitigation.
Gender differences in the perception of the Quality of College Life in Spanish University
by Juan Jose Blazquez-Resino, Edyta Gołąb-Andrzejak, Santiago Gutierrez-Broncano
Abstract: Through the current research, we intend to analyze how students differ in their levels of Quality of College Life (QCL) according to gender, and how this relates to overall Quality of Life (QoL) and loyalty (measured by Identification and Word of Mouth [WoM]) to their specific university. The survey included 243 students attending public university in Spain. The results obtained through the analysis of data allows affirming that there are differences between women and men both in the configuration of the Quality of their College Life and in its effect on the loyalty shown towards the college. This paper contributes towards an improved comprehension regarding the differences between the students according to their gender, so that managers can develop strategies better adapted to students.
Keywords: Quality of College Life (QCL); Student Satisfaction; Installations Satisfaction; Education Satisfaction; Social Satisfaction; Quality of Life (QoL); Positive Word of Mouth (WoM); Identification; Gender Differences; The Effect of Gender; University.
Performance Measurement of various AI techniques for Energy Estimation and its Optimization using Sensitivity Analysis
by Yashish Swami, Navjot Singh, Umang Soni
Abstract: The objective of this project is to predict Energy Performance of a Building (EPB) in terms of heating and cooling load by using various Artificial Intelligence (AI) techniques then measuring the corresponding strength of each input and its effect on the output in order to identify the most significant input from the lot by using Sensitivity Analysis. EPB can help in efficient construction of buildings as well as put a leash on dwindling Natural Resources and Global Warming. The various intelligent techniques used in this project are Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), ANFIS-GA (Genetic Algorithm) and ANFIS-PSO (Particle Swarm Optimization. In order to identify the most significant input, we are using a technique based on Sensitivity Analysis, which is called the Connection Weight Algorithm. In the end, performance of the AI techniques is compared to select the best performing model.rn
Keywords: Energy Performance of Building; Artificial Neural Network; Adaptive Neuro-Fuzzy Inference System; ANFIS-GA; ANFIS-PSO; Sensitivity Analysis; Heating Load; Cooling Load.
Optimization of Software Release Time using Adaptive Neuro Fuzzy Approach
by Shubhra Gautam, Deepak Kumar, L.M. Patnaik
Abstract: In this research study, the optimal release time of the software to be released is determined by using adapative neuro fuzzy optimization method. Adaptive neuro fuzzy optimization method has the advantage of fuzzy logic and neural network both. Different input criteria are taken in the paper based on which the optimal release time of the software is determined. The two important factors that govern the release time of any software are Cost and Reliability. Cost and reliability are estimated with respect to mean number of failures. Software reliability growth models are used to find the mean number of failures in any software. First, a software release time growth model is discussed which gives us the mean number of failures, these will be used to determine the cost and reliability. Second, an adaptive neuro fuzzy method is discussed for optimization by which the optimal time of release of spftware is obtained. Numerical examples are taken and results obtained are compared with different other optimization methods. From the results of numerical example, we can conclude that neuro fuzzy optimization method is best for software release time optimization.
Keywords: Software testing; Optimal release time,reliability,cost ; fuzzy logic; neuro fuzzy.
Special Issue on: Big Intelligent Enterprise For Sustainable Computing
Word Sense Disambiguation in Tamil using Indo Wordnet and Cross-Language Semantic Similarity
by Deepa Karuppaiah, P. M. Durai Raj Vincent
Abstract: Word sense disambiguation is the way to compute the correct sense of a word. It is considered as one of the important subtasks in natural language processing, machine translation and information retrieval. WSD found improving the overall performances of these systems. The job of WSD is to eliminate all senses of a word except the appropriate one as per the given context. The work in Tamil linguistics domain for information retrieval or natural language processing is very less. WSD can be performed in supervised and unsupervised manner. Here, we have proposed an unsupervised approach to disambiguate Tamil words in a given context using the context words and their dictionary gloss definitions. We have proposed two variants of our approach. The first approach uses the number of word overlapping between the glosses of context words whereas the second one uses the similarity between the glosses of context words with that of the ambiguous word. The second one found best among the two. For our approach, we have used Tamil Indo-WordNet, Oxford Tamil Dictionary and English WordNet dictionary glosses. Our method achieves better result in recognising correct senses in Tamil text.
Keywords: word sense disambiguation; WSD; natural language processing; Tamil WSD; cross-language similarity; gloss vector measure; Indo-WordNet; information retrieval.
Ensuring prompt cloud service provider based on service level agreement (SLA) using Fuzzy Logics and Decision Support System
by Karthikeyan P, E. Sathiyamoorthy
Abstract: Cloud services are subscribed by the Cloud service Users (CSU) from specific Cloud Service Provider (CSP). Several Cloud Service Providers may offer the same as well as different services. Hence various factors have to be considered while selecting a CSP which offers the same type of services. An Intelligent Third Party (ITP) helps the CSU in choosing a best suited CSP. Requirements of the CSU are captured and processed using Fuzzy Logics. These are matched with service offerings of the CSPs using a multi criteria decision making process called the Analytic Hierarchy process (AHP). Using this Decision Support System, the ITP suggests the best suited CSP among the registered CSPs to the CSU. A negotiation process follows where the CSU can make their choice in choosing the suggested CSPs. A partial SLA is generated between the CSU and chosen CSP defining the various services selected, attributes provided by the CSP, other requirements of CSU and violation details.
Keywords: Cloud service provider; service level agreement; Fuzzy logic; Decision support system\r\n\r\n.
FUSION OF MULTIMODAL BIOMETRIC AUTHENTICATION USING GRADIENT PYRAMID , PCA AND DWT
by Devi R, Sujatha P Dr
Abstract: The current development in the information technology requires executing authentication and security resources available for the techniques in authorization. The authentication based on the biometric, which may overcome all other techniques. By using the , physiological or behavioral traits , the biometric techniques can improve the authenticity or authorization for a human being. The users such as unauthorized persons cannot able to access the resources. The biometric trait processes for the multimodal biometric system can process its information separately. The fusion scheme combines the processed information. The proposed model consists of identification method with the Multimodal biometric process, which is based on the two parameters such as the Iris with fingerprint. These parameters focused on the classification on support vector machine (SVM) makes fusion with the gradient pyramid (GP). Comparison made for the proposed method with discrete wavelet transformation (DWT) with the principle component analysis (PCA).sift. The feature extraction process uses the matrices composed of gray level co-occurance matrix. The individual accuracy for the authentication process undergoes the step of comparison with the iris fused with the standard procedure and accuracy related with fingerprint. A result indicates the fusion biometric images can provide the better results in the compared with the individual images in the biometric pattern.
Keywords: biometric authentication; GP; SVM; DWT; PCA; iris and fingerprint; fusion.
An Efficient Diabetes Prediction System for Better
by Satyanarayana Murthy T
Abstract: An unreasonable increase of glucose in blood results in Diabetes. In recent times this problem is often seen in many people around the world. Having an efficient medical diagnosis of diabetic prevention is essential. So in this context, health care professionals have come up with different solutions, but none of them have taken shape. Considering these facts we have proposed an integrated diabetic prediction system with the inclusions of Un-supervised k-means clustering and Navie Bayes classification. In this context, random attribute selection is used as the initial centroid selection method for k-means Clustering. Significant work is compared with traditional classification algorithms in terms of accuracy along with additional performance parameters like sensitivity, specificity, precision, and F-measure and as a result, it is determined that the proposed algorithm is achieving 99.42%, which is higher than any other recently proposed classification technique.
Keywords: Diabetes Mellitus; Metabolic; Knowledgebase DSS; PIMA Indian Heritage; WEKA.
Analysis of Error Rate for Various Attributes to obtain the Optimal Decision Tree
by K. Maheswari, S. Ramkumar
Abstract: The competitive and computational intelligence is required to increase the gross profit of the product in a market. The classification algorithm rpart is applied on retail market data set. The regression rpart decision tree algorithm is implemented with principal component analysis to impute data in the missing part of the dataset. The objective is to obtain an optimal tree by analyzing cross validation error, standard deviation error, and number of splits and relative error of various attributes. The results of various attributes by anova method are compared to choose the best optimal tree. The tree with minimum error rate is considered for the optimal tree.
Keywords: Decision Tree; Error rate; Data mining and Pruning.
Special Issue on: Computational Intelligence in Sustainable Informatics Systems
High Performance Inventive System for Gait Automation and Detection of Physically Disabled Persons
by Vinothkanna Rajendran, Vijayakumar Thangavel, Prabakaran Narayanasamy
Abstract: Physically challenged persons may face many difficulties in the present modern environment as most of the commercial facilities and utilities for a day to day life is designed for normal people to lead a sophisticated life. Particularly people physically disabled face struggles in escalators in malls and public transportation places. It is very difficult for the disabled individual to be identified as one among in a large crowd and they normally feel unconformable to step inside in a running escalator. This research work proposes a novel method to identify the physically challenged persons from a large crowd by their nature of legs, walking pattern and hand sticks and provide necessary preference for them to get inside the escalators. Gait automation and detection mechanism is used for person identification for all gait events and deep learning based neural network (DLNN) is used for learning the patterns and making the system to automatically identify the physically challenged. Experimental results shows that the proposed system automatically measures all the angle of gait events with an accuracy level of 95.4% and thus offers a cost effective solution for gait kinematic analysis for disabled peoples.
Keywords: Physically disabled; Gait; Deep learning neural network (DLNN),.
Optimizing QoS with Load Balancing in Cloud Computing applying Dual Fuzzy Technique
by Chintureena Thingom, Ganesh Kumar R
Abstract: Cloud computing has become a necessity when the internet usage has increased drastically. This research paper objective is to optimise quality of service in cloud computing using dual fuzzy technique. With the competition to provide the best quality service at cloud data centre, we are analysing the parameters of average response time, average completion time, average CPU utilisation and job success. Cloud-sim simulator along with the mathematical model is used to provide reliable and valid result. To achieve the best result, the load in datacentre needs to be efficiently distributed, so that it is managed to process maximum service requests with the best service response time and very few failures. In this paper, we applied dual fuzzy technique for the load balancing in the cloud data centre and the findings were extensive and supports the proposed technique. With this technique, cloud computing service provider can provide better quality service.
Keywords: cloud computing; dual fuzzy; quality of service; cloud-sim; load balancing.
Design of Master Controller Test Kit for the Railway Diesel Locomotives
by KISHORE KUMAR KAMARAJUGADDA, Movva Pavani
Abstract: In the present paper, a master controller test kit for the diesel locomotives is designed, developed and the prototype is tested. Master controller test kit is used by the locomotive driver to drive the engine which is a human-machine interface which primarily performs three essential functions such as controlling the regression, progression, and locomotive braking. Stick type master controller is a modular based compact design which is a crew friendly for smooth operation and comfort. In the proposed model, the operation of solenoids is indicated by LEDs, and dynamic braking is shown by Digital Voltmeter for measuring the drop across braking control pot (BKCP)
coil. By using this test stand a layman can also check the master controller in the section itself which saves staff-hours and most significant loco downtime. The tested prototype is economical, and its performance is comparable with the existing microcontroller based master controllers.
Keywords: diesel locomotive; throttle handle; reverser handle; master controller testing kit; directional handle; dynamic brake handle.
Study paper on Internet of Things and its utilized protocols with application
by Roopa Jayasingh, Remus Dominic D’mello, Abhishek Soren, Ankit Alex Hansdak, Bidyut Mondal
Abstract: The people of the 21st century have now entered a new era of computing technology which is known by a very common name: the internet of things (IoT). Although it is also known by certain other names like machine to machine, Internet of Everything and many more, one thing common in this technology is that it is happening in real and has got quite a potential to shape the future of computer technology in the coming days. IoT is basically a paradigm which generally consists of interactive smart machines which communicate with other smart machines, resulting into generation of
informative data which are used to produce necessary actions that controls and command things hence making our day-to-day life a lot simpler. The following thesis is an extensive reference to the utilities, applications and possibilities of the IoT.
Keywords: internet of things; IoT; message queuing telemetry transport; constrained application protocol; XMPP; asynchronous messaging; open system intercommunication; OSI.
A Systematic Analysis of Defects, Incidents, Tickets and Service Effort Estimation
by Sharon Christa, SUMA V
Abstract: The delivery of quality software will always remain the primary focus of any software industry and in order to retain the quality, different measures are undertaken since customers can be retained only by providing quality product and services. Quality can be achieved by reducing defects in the software system during pre-deployment. Issues and requests raised by customer on the delivered software is addressed in different ways and is considered as a service provided to the customer. This paper gives an analysis of software maintenance from the service perspective and presents a detailed survey on the research currently undertaken by researchers in the area of ticket analytics, its scope in different scenarios. It is followed by an analysis on the impact of effort estimation on service request. Further, the paper presents a case study on incidents logged by different clients in an IT industry under different domains. The resolution time, priority, severity and volume of tickets are considered and its relationships are analyzed. This paper therefore enables in sampling the data which in turn enables the project personnel for further prediction activities.
Keywords: Defect Detection; Software Maintenance as a Service; Incident; Ticket Analytics; Service Request Effort; Application Management Service; Time to Resolve; IT Service Management.
Prediction of Disease Using Fuzzy Random Forest
by Balaji Bodkhe, SANJAY SOOD
Abstract: In this research work, eight health care clinical datasets from the internet including UCI machine learning repository have been experimented for validating the proposed classification and recommendation framework. These dataset contains the different attributes which the specific information like symptoms, cure, prevention, treatment, age, gender etc. Basically most of data available in semi structured format like CSV, .arff, XML etc. This process system can automatically download the dataset once and store it into data node. In pre-process phase all attributes has read from dataset and select any (t) out of n, for creating the training data. If the data is belongs with text format, we must need to convert into text. First blended dataset is partitioned into numeric dataset and distinct dataset and assembled devouring both traditional clustering algorithms and fuzzy clustering algorithms. The classification has done with FRF algorithm
Keywords: Machine Learning; FRF; fuzzy clustering algorithms.
Special Issue on: ERPBSS 2018 Shifting Dynamics in Business
Brand preferences for consumer electronics in the United Arab Emirates
by Anand Haridas, Alun Epps
Abstract: The global consumer electronics industry has recently seen intense rivalry between a few major players. This research focuses on consumer behaviour, brand preferences and the relationship between socio-demographic factors and brands in the United Arab Emirates (UAE). A quantitative study of data collected through a web based questionnaire concludes that quality and brand equity are the major determinants of a consumers decision and identifies Sony and Apple as the preferred electronics and smart phone brands. Age, gender and income do not influence brand preference within the UAE market.
Keywords: consumer behaviour; brand preference; quality; brand equity; consumer electronics; smart phones; the United Arab Emirates.