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International Journal of Intelligent Enterprise

International Journal of Intelligent Enterprise (IJIE)

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International Journal of Intelligent Enterprise (40 papers in press)

Regular Issues

  • Identifying Relation, Problem, and IT Approach of Design and Planning in Engineer-To-Order (ETO)   Order a copy of this article
    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.

  • An Efficient Diabetes Prediction System for Better Diagnosis   Order a copy of this article
    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.

  • Brand preferences for consumer electronics in the United Arab Emirates   Order a copy of this article
    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.

  • Supply chain transparency, ethical sourcing, and synthetic diamond alternatives: exploring the perspectives of diamond retailers   Order a copy of this article
    by Meike Schulte, Cody Morris 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 jewellery retailers.
    DOI: 10.1504/IJIE.2021.10040522
     
  • Analysis of Error Rate for Various Attributes to obtain the Optimal Decision Tree   Order a copy of this article
    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.

  • Technological Innovation: Classification Model and Future Research Agenda   Order a copy of this article
    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.
    DOI: 10.1504/IJIE.2020.10029496
     
  • Information security protection for eHealth records using temporal hash signature   Order a copy of this article
    by R. Charanya, R.A.K. Saravanaguru, M. Aramudhan 
    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 modelled with linked records and verified by temporal signature.
    Keywords: eHealth; electronic health record; EHR; binary Merkle tree; temporal hash signature.
    DOI: 10.1504/IJIE.2021.10039424
     
  • Ensuring prompt cloud service provider based on service level agreement (SLA) using Fuzzy Logics and Decision Support System   Order a copy of this article
    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.

  • Analysis of dependence of grade point average over psychological factors incorporating advanced data mining   Order a copy of this article
    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   Order a copy of this article
    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.
    DOI: 10.1504/IJIE.2021.10043220
     
  • Saudis perception of medical information privacy: a point-of-view on the use of medical technology   Order a copy of this article
    by Hussein Abdulla El-Omari 
    Abstract: 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 habits 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.
    Keywords: environment of Saudi Arabia; medical sector of Saudi Arabia; information privacy; medical records; medical technology.
    DOI: 10.1504/IJIE.2021.10035239
     
  • Fusion of multimodal biometric authentication using gradient pyramid, PCA and DWT   Order a copy of this article
    by R. Devi, P. Sujatha 
    Abstract: Authentication and identification is the most challenging task in our daily life. Biometric system provides an automatic identification of an individual using his/her behavioural or physiological traits. In this work, multimodal biometric traits namely fingerprint and iris have been used. These traits were pre-processed using wiener filter and applying some morphological operations. The pre-processed biometric traits were segmented and fused using three algorithms namely discrete wavelet transform (DWT), principal component analysis (PCA) and gradient pyramid (GP). The fused biometric traits using GP provides a better result without losing the meaningful information. The feature extraction and classification were carried out using grey scale co-occurrence matrices (GLCM) and support vector machine (SVM). Authentication using fused biometric traits gives accuracy as 83.75, whereas the accuracy using fingerprint 73.75% and iris was 78.48%.
    Keywords: biometric authentication; gradient pyramid; support vector machine; SVM; discrete wavelet transformation; DWT; principal component analysis; PCA; iris and fingerprint; fusion.
    DOI: 10.1504/IJIE.2021.10035656
     
  • Improving the competitiveness of traditional markets in Martapura Riverside, Banjarmasin, South Kalimantan for raising the local economy   Order a copy of this article
    by Tinik Sugiati, Zakhyadi Ariffin, Dian Masita Dewi, Freddy Zul Pribadi 
    Abstract: Traditional markets have an important role in improving the local economy. This paper focuses on obtaining information about priorities to improve the survivability of traditional markets in competition. The object for this study is Ujung Murung Market which is one of the traditional markets in the Martapura riverside, South Kalimantan. Respondents are categorised as seller and buyer in the traditional market and servants Civil of Management Market Office. Data are analysed by using analytical hierarchy process (AHP) with PriEst Software. The novelty of this study is consideration of customer value as sources of competitive advantage in traditional market. The data analysis shows that traditional market in Martapura riverside has competition-based customer value perspective such as: function value, emotional value, social value, seller service value, convenience value, added value, and reasonableness of the price. This study shows that the strategy of considering perspective of customers significantly improve traditional market competitiveness.
    Keywords: competitive advantage; customer value; traditional markets; market competitiveness; local economy.
    DOI: 10.1504/IJIE.2021.10036434
     
  • Determining the Firm Innovativeness by Organizational Innovation and Knowledge Capacity in ASEAN Pharmaceutical Industry: A Comparative study with Mediating Role of Innovation Capability   Order a copy of this article
    by Thanaporn Sriyakul, Kittisak Jermsittiparsert, Jutamat Sutduean, Siridech Kumsuprom 
    Abstract: The study presents the phenomenon of firm innovativeness, organizational innovation, and knowledge capacity and innovation capability in pharmaceutical firms of ASEAN region. The research framework and links of variables are supported by resource based view theory that innovation capabilities of firms assist to gain competitive advantages and enhance performance. The purpose of the paper is to determine the influence of organizational innovation and knowledge capacity on innovation capability, further innovation capability influences the firm innovativeness. The study determines the mediating role of innovative capability between organizational innovation and firm innovativeness, mediating role of innovation capability between knowledge capacity and firm innovativeness. The study obtained the data from two different samples of ASEAN region and comparative analysis and results have been presented. SMART-PLS was used to determine the relationship and testing the direct and in-direct hypothesis of the study. Measurement model and structural equation modeling technique was utilized to determine the relationship between variables of proposed research framework. The results show that innovation capability influenced positively by organizational innovation and knowledge capacity, similarly innovation capability influence firm innovativeness.
    Keywords: Organizational Innovation; Knowledge Capacity; Innovation Capability; Firm Innovativenessrnrn.

  • Movable barcode scanning system using IoT smart glass technology   Order a copy of this article
    by Akash Awasthi, P. Deepalakshmi, P. Nagaraj, Amarakota Madhu Vamsi 
    Abstract: Nowadays, everything is getting digitalised in India according to the Digital India program. Lot of manual work has been replaced by digital and IoT-based technologies. The trend of using smart glasses for managing warehouses is increasing. But then, these glasses need manual interaction which may lead to manual error. So, there exists a need for a technology, which can make the inventory management in the warehouse totally digitalised and automatic. This study aims to develop a technology to reduce the manual interaction that further reduces theft, manual errors and benefits the organisation to save cost spent on workers every month. Considering the need for industrial automation, the present study provides an idea of movable barcode scanning system to measure the inventories and send a notification to supplier and the company employee for order placement as well as display currently scanned inventories on a webpage hosted by our system. This system associates the industry to be advanced, fast and digitalised especially in warehouse management.
    Keywords: barcode scanning; automation; smart glasses; manual interaction; inventory management.
    DOI: 10.1504/IJIE.2021.10038607
     
  • A Critical Analysis of the Earnings Management Strategies in Politically Influenced Firms   Order a copy of this article
    by Muhammad Sadiq, Zaleha Othman, Ooi Chee Keong 
    Abstract: The purpose of this paper is to investigate whether politically influenced firms employ income-decreasing accrual-based earnings management strategy to report less taxable income. The current study also investigates whether politically influenced firms substitute one of the earnings management strategies with the other. The study used a sample of non-financial listed firms in Pakistan over the period of 20072016. The results envisaged that politically influenced firms manipulate earnings downwards with the objective to report less taxable income, pursuant to which the regulators must keep political factors in mind during regulatory reforms. Moreover, this study shows that politically influenced firms substitute one earnings management strategy with the other. This study contributes to the field of earnings management where it integrates Agency Theory with Political Economy Theory. Apart from that, this study provides deep insight to policy makers who are interested in improving corporate governance in transnational economies.
    Keywords: Political influences; accruals-based earnings management; real earnings management; corporate governance.

  • A hybrid artificial bee colony algorithmic approach for classification using neural networks   Order a copy of this article
    by C. Mala, Vishnu Deepak, Sidharth Prakash, Surya Lashmi Srinivasan 
    Abstract: Artificial neural networks are an integral component of most corporate and research functions across different platforms. However, depending upon the nature of the problem and quality of initialisation values, the usage of standard stochastic gradient descent always risks the possibility of getting trapped in local minima and saddle points for smaller neural networks in particular. One way to overcome this is by using algorithms with proven global search capabilities to train the network. This allows the neural net to reach the optimum values for weights regardless of the initialisation parameters used during training. Two algorithms are proposed based on modifications to the original artificial bee colony algorithm and their performances are analysed extensively on three benchmark datasets of increasing complexity. The first (NMABC) employs neural network appropriate initialisation and linear search space expansion. This is integrated into the second (LHABC) incorporates stochastic gradient descent into the employed phase of the bees for faster convergence. It is found that the proposed algorithms consistently outperform standard approaches in all cases.
    Keywords: artificial bee colony algorithm; neural network; meta-heuristic; hyperparamter.
    DOI: 10.1504/IJIE.2021.10034807
     
  • A modified fuzzy C means approach for segmenting the input flood images captured by synthetic aperture radar   Order a copy of this article
    by N.V.S. Natteshan, Sureshkumar Nagarajan 
    Abstract: Image segmentation is a process of separating a homogenous area into a heterogeneous area. In this work the fuzzy C means algorithm is utilised for segmenting the flooded areas in the given input image based on intensity of images. But there is a problem of speckle noise occurring in the images due to backscattered echo from earth surface. Hence a fuzzy discontinuity adaptive weight based non-local means filtering is being used to eliminate the speckle noise. In the fuzzy c means segmentation algorithm a modification is proposed which is done as two steps namely the quantisation and aggregation. A modified fuzzy C means algorithm is required in order to reduce the convergence rate of the algorithm. This research work particularly focuses on the application of the fuzzy C means clustering algorithm for segmenting the flood occurred regions and further processing of the flood occurred regions will be carried out.
    Keywords: fuzzy C means; de-speckling; clustering; quantisation; aggregation; segmentation.
    DOI: 10.1504/IJIE.2021.10040525
     
  • Levy distribution in scheduling the WSN to enhance its lifespan   Order a copy of this article
    by Nagarathna Pattari, Manjula R 
    Abstract: Recent advancement in Nanotechnologies, communication technologies, hardware, software and low-cost mass production have given rise to enormous applications of Wireless Sensor Networks (WSNs) to be part and partial of our day to day lives. Right from home security, environmental monitoring, industrial manufacturing and monitoring and building latest smart cities, hardly there is any field left that does not use sensors. Either deployed randomly or systematically a WSN collects information from its surroundings within its sensing range, it may process the information or just pass on to other ends of the network for further processing. They communicate information collected through a wireless communication network to the sink node where all the information collected from all sensors nodes get collected. Some nodes in the network will have the ability to preprocess the data before transmission. WSN are widely varying characteristics and applications, almost all the sensors collect the information, preprocess, and transmit. A Reliable WSN must serve its purpose for long-duration since the sensor nodes are very tiny in size and powered by small batteries mounted onto them. Recharging or changing batteries may be next to impossible thing in some applications. For example, charging batteries of sensor nodes of WSN working in battlefields, enemy territories, and a volcano erupted areas is often impractical. Therefore energy constraint in WSN is the very serious issue in WSN as well as in research. In this paper, we present a mechanism to schedule WSN sensor nodes such that improves its lifespan for longer duration of time. We divide the available sensors to $k$ Disjoint Set Covers (DSCs) by applying a hybrid evolutionary algorithm which uses Levy distribution.
    Keywords: Wireless Sensor Network; Disjoint Cover Set; hybrid evolutionary algorithm.

  • How strategic intelligence impact marketing strategy effectiveness in SMEs context: using structural equation modeling   Order a copy of this article
    by Mona Jami Pour, Fateme Ebrahimi Delavar, Atefe Khaleghi 
    Abstract: Despite the increasing investment in marketing activities, the many business expectations have not been satisfied yet. How to invest in marketing strategies depends on the capabilities and intelligence of marketing managers in the analysis of the conditions and one of the key intelligence is strategic intelligence. Strategic intelligence pertains to provision the critical information to achieve competitive advantage and is an essential part of the competition in today's economy. In spite of the important strategic intelligence of marketing managers, few studies empirically investigated the impact of it on marketing effectiveness. Therefore, the main aim of this study is to evaluate empirically the relationship between strategic intelligence and marketing strategy effectiveness in small and medium-sized enterprises (SME) context. Data from 186 SMEs provide empirical support for the critical role of strategic intelligence on marketing strategy effectiveness. The study also found that all of the strategic intelligence components, including foresight, systematic thinking, partnering and motivating and empowering with the exception of the visioning component, had a positive and significant effect on marketing strategy effectiveness.
    Keywords: Strategic intelligence; marketing strategy effectiveness; SME; structural equation modeling.

  • A modified un-realization approach for effective data perturbation   Order a copy of this article
    by Gopalan N.P, Satyanarayana Murthy T 
    Abstract: In recent times data has been evolving from multiple sources like social media, face book, twitter etc. in large volumes and acquiring in multiple forms.These data have multi-dimensional sensitive features from different resources entail that privacy preserving is a significant research issue. In this context, un-realization algorithms have evolved to hide the collected data with the addition of noise to them to generate a distorted dataset while attempting privacy preservation. In this paper, a novel modified un-realization algorithm has been proposed to generate a distorted dataset by removing duplicate elements in the dataset decreasing computational time of decision tree construction process. These techniques add noise to the original data and generate a distorted dataset by using a un-realization algorithm. This novel approach converts the original sample data sets into different perturbed data sets by inducing the noise through set theory. It experimentally produces better results than un-realization algorithm in terms of CPU execution time and space complexity.
    Keywords: privacy; un-realization; distortion; perturb.

  • Sustainable development goals through public sector social responsibility of Indian energy firms a qualitative analysis   Order a copy of this article
    by Suchitra Pandey, Parul Rishi 
    Abstract: Public sectors have been regulated by Department of Public Enterprises (DPE) CSR guidelines since 2010, and thus have the experience and expertise of formally carrying out corporate social responsibility (CSR). These organisations also fall under the ambit of the CSR law, which prevails over the DPE CSR guidelines. Understanding the potential of these organisations to contribute to CSR, the government aims to achieve sustainable development goals (SDGs) through CSR. Consequently, the country has linked the SDGs with its national development goals and has set ambitious goals for their implementation. This study analyses and documents the CSR practices of the Indian public sectors concerning the CSR law and the SDGs for sustainable growth in a holistic manner for the people and the planet. Further, the interviews from the key functionaries have helped understand the policy level changes that need to be introduced for successful CSR implementation and achievement of the goals.
    Keywords: corporate social responsibility; CSR; sustainable development goals; SDGs; sustainability; public sector enterprises; environment; development; community; energy; employee engagement; India.
    DOI: 10.1504/IJIE.2021.10036795
     
  • Consumer choice and sustainable competitive advantage in food industry   Order a copy of this article
    by Renato Lopes Da Costa, Leandro Pereira, Álvaro Dias, Rui Gonçalves 
    Abstract: Although the investigation into the resource-based view (RBV) is rather extensive from an organisational point of view, there is a lack of research to confirm the customers’ view of the competitiveness factors. This investigation seeks to address this gap. For this purpose, two studies were conducted. A qualitative analysis using in-depth interviews with top managers of three international food brands, aiming to evaluate competitive factors, from the firm perspective. The second study is quantitative, evaluating customers’ perceptions relating to the same competitive factors. The results of the research allow a deep understanding of how to create a competitive advantage in the food industry, in particular in fast-food restaurants, showing that there is a significant difference between the perspectives of the brands and those of consumers in relation to competitiveness factors and that consumers value more their own availability to purchase, while companies are more focused on the surrounding context.
    Keywords: resource-based view; VRIO framework; dynamic capabilities; sustainable competitive advantage; food industry.
    DOI: 10.1504/IJIE.2021.10040558
     
  • Influence of COVID-19 pandemic on the digitalisation of enterprises management   Order a copy of this article
    by Boris Miethlich, Denis Belotserkovich, Samira Abasova, Elena Zatsarinnaya, Oleg Veselitsky 
    Abstract: The goal of this study was to analyse changes in enterprise management among COVID-19 and create mechanism for managing digital transformation. The methodological basis of the study was represented by a terminological analysis of the concepts of automation, digitalisation, and digital transformation, the results of which were aimed at building a conceptual scheme for business digitalisation. During the research, we found out that a full-fledged and successful digital transformation is possible after the restructuring of the company’s business process management system. By comparing the outcomes of using digital platform-based business models (used in Azerbaijan, Russia, and Switzerland), the most promising one was selected to be used in the COVID-19 affected environment. The collected data suggest that regardless of the country’s digitalisation level, innovation and transformation continue to provide business-promoting aid. Utilisation of modern online platforms for doing business is proved to be instrumental for substantial digital governance advancement.
    Keywords: digital economy; business model; innovation; strategic management; growth.
    DOI: 10.1504/IJIE.2021.10043411
     
  • Fourth industrial revolution: implications for the water sector in an African context   Order a copy of this article
    by Chuks Medoh, Arnesh Telukdarie 
    Abstract: The water sector can leverage advancement provided for by the fourth industrial revolution (4IR). The operational protocols of water distribution and monitoring are significant and diverse. This paper segregates and focuses on non-revenue water (NRW) issues. This paper proposes a model suitable to optimise leak detection and water balancing aspects of water operations. The developments are driven by tools of the 4IR discussing the role of small and medium enterprises (SMEs) as a theoretical basis. The methodology employs simulation and design of experiments (DOE) to collaborate activities (business processes) relating to leak detection and water balancing operational protocols. The data collection is developed in a repository using the Microsoft Visio tool and tested using AccuProcess Modeler (simulation tool). The results through the proposed holistic leak detection and water balancing model (LDWBM) highlight significant savings in the total business response times and sustainable for water distribution and monitoring.
    Keywords: design of experiment; DOE; fourth industrial revolution; 4IR; modelling; non-revenue water; simulation; small and medium enterprises; SMEs.
    DOI: 10.1504/IJIE.2022.10044263
     
  • Talent management and organisational commitment: exploring the mediation effects of creativity and proactivity   Order a copy of this article
    by Álvaro Dias, Leandro Pereira, Renato Lopes Da Costa, Rui Gonçalves 
    Abstract: This work focuses on the analysis of talent management. The variables of creativity were chosen; balance between personal life and work, proactivity, career management and organisational commitment as influential factors. In the current conjecture the market has to meet the demands, companies are looking for a way to stand out from the competition. As such, this article aims to explore the antecedents of organisational commitment to improve talent management. Partial least square software was used to build a structural equation model, with survey data from a convenience sample of 233 individuals. Results reveal that work-life balance has a significant positive effect on creativity and career satisfaction, and that creativity has a significant positive effect on organisational commitment. The mediation effects of creativity and proactivity were also tested providing evidence of the leveraging effect on organisational commitment of work-life balance and personal life.
    Keywords: talent retention; commitment; creativity; proactivity; work-life balance; PLS.
    DOI: 10.1504/IJIE.2022.10044264
     
  • EOQ model with imperfect items and backorder with allowable proportionate discount using cross selling effects   Order a copy of this article
    by Rashmi Rani Patro, Rojalini Patro, Mitali Madhusmita Nayak, Srikanta Patnaik 
    Abstract: The present paper aims to develop an Economic Order quantity (EOQ) model for the items of imperfect quality with a joint effect of proportionate discount, backorder, clustering with association rule mining and cross-selling effect. In this work, first, we computed the ordering policy with cross-selling effect. In case of imperfect quality items, cross-selling effects are visible clearly. Different data mining techniques are used to establish relationships among the items. We used clustering to find similar clusters in the inventory data base then the Apriori algorithm to generate frequent item sets among the item sets in individual clusters. With cross-selling effect, the frequent items are taken as specific entities. Further, the EOQ of these entities is calculated along with the shortage level. Lastly, we considered a numerical example to validate the proposed work.
    Keywords: Inventory; Imperfect quality; Proportionate discount; Backorder; Clustering; EOQ.

  • Sentiment analysis on pandemic poems using TextBlob   Order a copy of this article
    by Subhasri Vijayakumar, V. Maheysh 
    Abstract: Pandemic poetries are those poems written to document the pandemic poetically, created with an aim to connect people and help each other in the times of isolation. Interpreting poems largely reside with the readers and there is always the underlying communication of the author too. A highly subjective area for interpretation and understanding, marked with contextual meanings, poems offer diverse thought processes. Analysing the sentiments of the written work cannot always be white and black; there are grey areas to be explored also. How convergent or divergent will be the results of interpretation when analysed through machine sentiments? Through this study we aim to analyse two poems published during this pandemic situation using Textblob. It can be deduced that Sentiment is influenced only by the literal meaning of words, rather than by the context of the whole sentence/paragraph which brings in divergence in interpretation especially in the word-list-based method.
    Keywords: sentiment analysis; poems; pandemic literature; TextBlob; machine interpretations; social media; Python; opinion mining.
    DOI: 10.1504/IJIE.2022.10045084
     
  • The impact of intelligent systems on the compensation policies of companies of the future   Order a copy of this article
    by Renato Lopes Da Costa, Tânia Filipa, Filipa Martinho, Rui Gonçalves, Álvaro Dias, Leandro Pereira 
    Abstract: Even though intelligent systems bring numerous benefits to organisations, the challenges that may occur in their functionality are still of concern, as revealed in the literature. The implementation of technologies has been growing, leading organisations to become advantageous and competitive, increasing productivity as well as reducing the functions performed by humans. Managers cannot devalue their employees, because they have the help of machines and initially feel difficulties in their adaptation. To understand the connection between the subjects of intelligent systems and compensation policies, the research questions will address the impact of intelligent systems on the compensation policies of the companies of the future and the impact that these technologies will have on rewards and employee appreciation. To answer these questions, a questionnaire was launched, and the results are analysed using a quantitative model, which showed that operation and non-operation benefits of using intelligent systems will positively affect compensation policies and that risks of its implementation are not a main concern.
    Keywords: intelligent systems; compensation policies; human resource management.
    DOI: 10.1504/IJIE.2022.10045348
     
  • Appraising and overcoming the barriers of RFID implementation in a process industry in New Zealand   Order a copy of this article
    by Supriya Roy, Ram Roy 
    Abstract: Radio-frequency identification (RFID) technology is widely used in manufacturing and service industries for tracking inventory in-transit, asset control, and improving overall supply chain efficiency. In automobile and pharmaceutical industries, for example, RFID is used to track the location of the product down the assembly line. This paper explores the possibility of implementing RFID in a glass processing plant via mobile platforms (smartphone apps) for searching customer ordered glasses through the various stages in the plant. It also examines how RFID can help reduce the times and costs spent on glass reworks which can lead to increased profitability and customer satisfaction. The paper also explores the potential barriers in implementing the RFID technology in a glass production plant in New Zealand.
    Keywords: RFID; EPC; glass processing; supply chain; DIFOT; barcodes; implementation; constraints.

  • An innovative model on intention to adopt cloud-based ERP among SMEs   Order a copy of this article
    by Aveek Basu, Sraboni Dutta, Rohini Jha 
    Abstract: Enterprise resource planning (ERP) is an integrated suite of business application which ensures end to end delivery of all operational processes effectively and efficiently. Cloud ERP has recently gained significant impetus with the advent of cloud technology and organisations are showing substantial interests due to various advantages. End user acceptance plays a significant role in successful implementation of ERP systems and is a key factor in cloud ERP adoption by SMEs. Several studies are performed on ERP models which are dealing with acceptance. However, each model has some limitations and the current research on Indian SMEs deals with a hybrid framework which considers vital constructs of established models. The research work strives to explore the predictors of cloud ERP adoption. The findings will provide guidelines to SMEs of developing economies planning to adopt cloud-based ERP and cloud vendors can ameliorate their business strategies as per adoption intricacies found in study.
    Keywords: enterprise resource planning; cloud ERP; adoption intention; innovation; technology-organisation-environment; TOE; resistance; small and medium enterprises; SMEs.
    DOI: 10.1504/IJIE.2022.10047198
     
  • A balanced scorecard system as a character of the enterprise's financial stability   Order a copy of this article
    by Alisa Ableeva, Guzel Salimova, Almira Farrahetdinova, Aigul Galimova, Gulnara Gabidullina, Elina Galimova 
    Abstract: The paper aimed to study a balanced scorecard (BSC) characterising the enterprise’s stability from the perspective of compliance of its actual economic situation with future strategic goals. Based on indicative approach and using the provisions and approaches of the fuzzy sets theory, the integrated evaluation of level of achievement of BSC benchmarks of the enterprise was carried out. The scientific novelty of this study resides in the possibilities that the application of new tools (fuzzy sets theory, integrated evaluations) provides for monitoring both current and future performance indicators of an enterprise. The obtained results designate that proposed methodology can be applied in practice. The most significant its advantages incorporate the aggregation of criteria of varying nature, ability to calculate preliminary totals for different groups of indicators, possibility of making forecasts and managerial decisions based on results gained, and ability to assess expected economic condition of the enterprise through the BSC.
    Keywords: strategy; financial stability; balanced scorecard; BSC; integrated evaluation.
    DOI: 10.1504/IJIE.2022.10047337
     
  • Combination of audiovisual message design on prevention technique of cocoa pest attack using video medium as extension media   Order a copy of this article
    by Anna Gustina Zainal 
    Abstract: The main purpose of this paper is to determine the improvement in farmers' knowledge about cocoa pests using video and the influence of knowledge improvement to the cocoa farmers. An experiment was conducted involving 80 respondents selected randomly from farmer groups in Way Jepara Subdistrict, Mataram Baru Subdistrict, East Lampung District, Lampung Province, Indonesia where respondents were divided into two groups and each group received two treatments. Data related to respondents' knowledge level is obtained through pre-test and post-test method. Analysis of variance (ANOVA) technique was used to analyse relationship between variables. This paper highlighted the result related to differences in farmers' knowledge before and after the experiment. It is found that the type of narrative language used in video did not affect in farmers' knowledge improvement. The experiment also found that the message presentation through video medium and the form of narrative presentation used was in an indirect narration form.
    Keywords: communication; prevention technique; message; audio visual; relationship between variables; circular e-learning workware; public e-learning; response audience; effective tools; visual message; namely language; pre-test; treatment; post-test.
    DOI: 10.1504/IJIE.2020.10033543
     
  • Text content analysis using semantic similarity and keyword extraction for automatic file name generation   Order a copy of this article
    by R. Janani, S. Vijayarani Mohan, J. Ilamathi 
    Abstract: Tremendous growth in internet technology has created a new platform which helps the users to download and store huge quantity of information. 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. 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 analysing the content. 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 character numeric other (CNO) 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 keyword extraction (KWE) algorithm and automatic file name generator (AFNG) 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; KWE; character numeric other; CNO; file classification; search; indexed search; KWE; automatic file name generator; AFNG.
    DOI: 10.1504/IJIE.2022.10046417
     
  • The peak-to-average power ratio reduction using hybrid scheme with companding and discrete Hartley transform for orthogonal frequency division multiplexing system   Order a copy of this article
    by N. Rashmi, Mrinal Sarvagya 
    Abstract: Orthogonal frequency division multiplexing is a multicarrier and high data rate system. Increasing data rate through such modulation techniques increases amplitude variation with large dynamic range usually referred as peak-to-average power ratio (PAPR) in OFDM systems. As a consequence, power amplifier need to operate in linear region to avoid nonlinear distortion. In this article, to combat the nonlinearity effect in communication systems we propose a novel hybrid scheme, combined with μ-law companding and discrete Hartley transform (DHT) spread. We present the detailed simulation results for PAPR reduction for OFDM and superposition coded modulation-OFDM. It is observed that SCM-OFDM performance is much superior to OFDM. In this article we proposed a scheme for SCM-OFDM system that reduces PAPR to 1.7949 dB. The article also compares the obtained results with clipping technique, partial transmit sequence, selective mapping. The computational complexity of the system using SCM-OFDM is reduced by 50% by applying hybrid scheme.
    Keywords: clipping technique; selective mapping; partial transmit sequence; discrete Hartley transform; DHT; superposition coded modulation; SCM-OFDM; modified μ-law companding; MMC; peak-to-average power ratio; PAPR; bit error rate; BER; complementary commulative distribution function; CCDF.
    DOI: 10.1504/IJIE.2021.10041216
     
  • Profound feature extraction and classification of hyperspectral images using deep learning   Order a copy of this article
    by R. Venkatesan, Sevugan Prabu 
    Abstract: A hyperspectral image provides an asset of information, which tackles 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, etc. 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. Many steps are followed in hyper-spectral image classification such as pre-processing, features extraction with dimensionality reduction and classification. The pre-processing 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.
    DOI: 10.1504/IJIE.2022.10046418
     
  • A privatised approach in enhanced spam filtering techniques using TSAS over cloud networks   Order a copy of this article
    by P. Mano Paul, I. Diana Jeba Jingle 
    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. A privatised spam filtering approach is a classic problem which automatically recognises 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. Here a novel representation of structured abstraction scheme (SAS) used to generate abstraction in e-mail process using HTML tag content in e-mail 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. The experimental setup shows that there will be a great improvement while filtering spam in accuracy of e-mail content while sharing in cloud networks.
    Keywords: spam detection; abstraction scheme; spam ontology; privatised e-mail spam filtering; cloud networks.
    DOI: 10.1504/IJIE.2020.10030567
     
  • A theoretical study on managing the intangible component of the knowledge base of an organisation   Order a copy of this article
    by Srinivas Kolachina, K. Bhavana Raj 
    Abstract: Any organisation 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 the human resource professionals. Knowledge management originates from an objective of creating support, transferring and applying knowledge in the organisation. Acquiring knowledge sources, identifying their core expertise and deploying them into a well-structured knowledge management system makes an organisation 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.
    DOI: 10.1504/IJIE.2022.10046419
     
  • Optimal power flow with renewable energy resources using static VAR compensator and grey wolf optimisation   Order a copy of this article
    by M. Rambabu, G.V. Nagesh Kumar, Polamraju V.S. Sobhan 
    Abstract: The technical and economic performance of electrical power system networks is being improved by using renewable energy sources like solar, wind to the conventional power systems. In this paper, a composite bus utilisation index is used for the placing of static VAR compensator (SVC) and sized using grey wolf (GWO) algorithm for reduction of active power loss, fuel cost with valve-point effect and carbon emissions in a power system with renewable energy sources. Composite bus utilisation index (CBUI) is a blend of Vi/Vo index and L-index and determines the weak bus of the modern electrical system. The power to be delivered by 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 find the efficiency of the approach under various loading conditions.
    Keywords: static VAR compensator; SVC; optimal reallocation; grey wolf algorithm; lognormal; Weibull PDF; carbon emission; valve point effect.
    DOI: 10.1504/IJIE.2021.10039763
     
  • Optimising time in cloud using multi-hold inherited maximisation algorithm to reduce computational time   Order a copy of this article
    by D.S. Manoj Kumar, P. Sriramya 
    Abstract: The analysis in cloud computing is gaining momentum. In cloud computing, the allotment of resources assumes a significant job in choosing the performance, resource usage, and power consumption of the information that is focused. The provision of virtual machines in the cloud-primarily focuses on fundamental enhancement issues in distributed computing, specifically once the cloud foundation is made for accessing the resources from portable and handled devices. Resource arranging upheld service level agreement in distributed computing is an NP-hard drawback. An improved calculation multi-hold inherited maximisation (MHIM) algorithm has been introduced which is dependent on hereditary calculation-based advancement has predicted that placing a variety of resources on demand by assessing the entire group of undertakings inside the activity line can reduce the computational time. The simulation results demonstrate that there is an extinct degree of difference in execution time and the response time of MHIM algorithm compared with different scheduling algorithms.
    Keywords: scheduling algorithms; genetic algorithms; response time; VM allocation.
    DOI: 10.1504/IJIE.2021.10034693