International Journal of Enterprise Network Management (45 papers in press)
An Attempt to Enhance the Time of Reply for Web Service Composition with QoS
by Karthikeyan Sivasamy, Meenakshi Devi P
Abstract: The web services are the commonly prevailing service clusters of the service oriented framework (SOA) and service related assessments. The disputes are related to the quality of service (QoS) for choosing web services freely and creating a collection of web services for carrying out trades. The ultimate aim is to choose web services based on the non functional features and quality of service (QoS) ranks. The aim is to consider that these web services holds identical features for every processes along which they hold varying non functional features and quality of service (QoS) metrics. In order to choose a web service for every process a social aspect web (SAW) scheme is employed which does not comprehensively make use of all sorts of web services. It employs the requirements of the user for ranking web service set of the applications and finally provides SAW schemes over a set of web service applicants. The mechanism helps in selecting the web services in terms of quality of services (QoS) scores and user needs. The choice of web services over varied web services based on scheme can be utilized for aggregation and organizing web services resulting in optimized time of reply to the web service actions.
Keywords: QoS; SAW; Ranks; Web Services and Non – Functional Features.
Attempting to Design Differed Service Broker Forwarding Strategy for Data Centres in Cloud Environment
by S. Prabu, S. Karthik
Abstract: The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customization and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimizing the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.
Keywords: Service Broker; Cloud Environment; Quality of Service; Data Centres and latency.
IMPROVING MECHANICAL STRENGTH ON WELDED JOINTS BY USING OPTIMIZATION TECHNIQUE
by Pandiyarajan R
Abstract: The welding process is an important component in many industrial operations. Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties, and distortion. Generally, all welding processes are used with the aim of obtaining a welded joint with the desired weld-bead parameters, excellent mechanical properties with minimum distortion. So that in this paper presents find the suitable input parameter in welded joints and then find the full penetration of the material. By using on design of experiment (DOE), Genetic Algorithm algorithms and computational network are widely used to develop a mathematical relationship between the welding process input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality of the welded material.
Keywords: Welding; DOE; Parameter Optimization; GA; Regression Equation.
A Study on the Impact of Psychological Empowerment on Motivation and Satisfaction among the Faculty Working in the Technical Educational Institutions in India based on Age and Work Experience difference
by Prabha Mariappan, Punniyamoorthy Murugesan, Nivethitha Santhanam
Abstract: The purpose of this study is to investigate how the impact of PE on motivation and satisfaction varies according to the faculty members age and work experience. Data were collected from 402 faculty members employed at technical institutions across India. From the results of the study, it is evident that faculty members with above average age exhibited higher PE, motivation, and satisfaction. Subsequently, faculty members with above average experience possessed a higher level of PE and satisfaction. Further, the implication of these findings suggests that the proposed framework will act as a benchmarking tool to measure the psychological empowerment among the faculty members.
Keywords: Psychological Empowerment; Age; Work experience; Faculty.
A Study on the Impact of Macroeconomic Indicators on the Stock Price by relaxing the Assumptions of Stationary in Time series Data in a General Linear Model
by M.I. Nafeesathul Basariya, Punniyamoorthy Murugesan
Abstract: A model has been evolved by keeping the stock index as dependable variable and Gross Domestic product, Consumption and Consumer Price Index as independent variables. The assumptions to arrive the model are tested. The behavior of the model is studied by including and relaxing the important assumption of stationarity in the economic data. It was finally found that the model becomes significant if we violate the stationary assumption for both dependent variable stock price and independent variable Consumer Price index, Consumption and Gross Domestic Product. This is evidenced by demonstrating the model by using the data related to the macroeconomic variables of Developed countries USA, UK, Emerging countries India and Brazil, Frontier Countries Latvia and Estonia.
Keywords: Consumer Price Index; Consumption; Gross Domestic Product; Stock Prices; Stationarity.
Mechanical Integrity of PEEK Bone Plate in Internal Fixation of Femur: Experimental and Finite Element Analysis Towards Performance Measurement
by Navid M.P.Davani.K, ELANGO NATARAJAN, Balaji Raghavendaran Hanumandarao, Sivakumar Paramasivam
Abstract: Internal fixation is a surgical method used to stabilize the fractured bone in order for a proper callus formation. Many materials, including stainless steel and titanium, have been used in prosthetic plates. The studies show problems associated with the use of metals plates due to mismatch of stiffness of the bone and prosthetic plate. The effect of this phenomenon, called stress shielding could be seen not only at the healing region but also in the entire bone itself. Therefore, modern materials, especially polymers, with a stiffness close to the human bone have been devised to transfer more compressive stress to the bone. Of the existing biomaterials, PEEK (poly-ether-ether-ketone), has become an excellent alternative to metal plates. The aim of this research is to investigate the effectiveness of PEEK plate in stress transformation into the fractured bone and to conduct performance measurement between PEEK and Steel. Uniaxial tensile test and fatigue tests are conducted as per ASTM standards to measure mechanical properties such as tensile strength, modulus of elasticity and fatigue strength. The measured mechanical properties of PEEK are further applied in finite element analysis to measure the stress transformation between plate and femur bone. Fatigue analysis is also carried and the simulation results reveal that PEEK plate is more desirable in terms of reducing stress shielding in the femur than that of stainless steel. Taguchis single response analysis is used to optimize the process parameter and material selection. The weight reduction and cost reduction are also observed. It is perceived from the Taguchi analysis that the PEEK is the best appropriate selection than SS316L for stress transformation in to the fractured bone in inducement of principal stress and shear stress point of view. A graph between principal/shear stresses and material/distances are plotted to verify the input dependency. It is evident from the plots that the PEEK performs well at initial and decreases at later, which is due to more negative stress.
Keywords: femur; stress shielding; prosthetic plate; internal fixation; biocompatible; fractured bone; thermoplastic; internal fixation.
A literature review on the anomalies observed in the newsvendor ordering behaviour
by S. Yamini
Abstract: In a classical newsvendor setting, the retailer places an optimal order quantity by finding a trade-off between overstocking and understocking of products. However, it has been observed that the managers do not always order an optimal quantity while making inventory decisions, due to influence of various behavioural biases. Infact, the evidences say the experienced managers also exhibit this tendency. In the early 2000s, researchers in the area of behavioral economics have taken roots to analyse the behavioral dynamics influencing the inventory ordering decisions in newsvendor settings. Later, a large number of research studies has focused its attention on understanding the cognitive biases and heuristics involved in the process of inventory decisions. The research has then progressed in the direction of understanding the role of learning dimensions and information acquisition in making better inventory decisions. Further, researchers have also found if the individual heterogeneity such as gender differences, cultural differences, and hierarchical differences influence the ordering pattern of individuals. Infact, few research studies focus on the impact of cognitive reflection and other individual traits on the stocking decisions of the newsvendor. Another class of literature looks at the anomalies observed in various non-conventional newsvendor settings such as newsvendor ordering multiple items, simultaneously setting the price while ordering and placing order when the competition prevails. This article provides a detailed summary of the research progress in the behavioural newsvendor problem. It also provides a framework of the existing literature and identifies the research gaps to point to future research possibilities and priorities. The framework gives a systematic approach to confirm the existence of a substantial scope of research opportunities and points to specific areas for further research.
Keywords: Behavioural Economics; Behavioural Operations; Experimental Economics; Newsvendor ordering; Bounded Rationality; Cognitive biases and heuristics.
A development in the existing Non-Linear model and to study its impact on the Nash equilibrium in a two-person non-zero sum game
by Sarin Abraham, Punniyamoorthy M
Abstract: A non-zero sum two-person game can be formulated as a non-linear program problem for finding the Nash equilibrium. Although intensive research has been done in developing methods for solving such non-linear problems, very less work has been done in modifying the existing model in order to generate a more refined Nash solution. The study focuses on modifying the nonlinear programming model by incorporating some additional constraints and analyzing if the altered model would generate a better result. The utility of the additional constraints is discussed, in terms of the payoff received by either of the players, for different problem situations.
Keywords: Non-Linear Programming; Nash Equilibrium; Optimality; Feasible Solution Space.
Designing an Integrated Multi-Channel Multi Product Closed Loop Sustainable Supply Chain Network Meeting Customer Requirements
by T. Niranjan, P. Parthiban
Abstract: Indian manufacturing firms which started by focusing on offline exclusive sales (single channel), are expanding their sales to online domain (multi channel) today. They still facing lot of difficulties in interfacing various channels efficiently in their multi channel supply chain network, this integration of different channels increases its customers range to purchase and customer comfort. Consideration of green and recycling concepts in supply chain has become essential due to consumers demand for products which are eco-friendly and also strict government regulations. This paper aims to develop a multi product closed loop supply chain model for an Indian kitchen ware firm to address their integrating issues between multiple channels take into consideration the environmental and economic sustainability. IBM CPLEX optimizer is used to solve the model for minimising the transportation cost between various stages of supply chain and the emissions from plant and vehicles. To take into account the real world factors of customer behaviour, four types of customer zones are selected to accommodate different customer choices. The results show how the optimal supply chain structure is affected by these multi channel customer preferences.
Keywords: Sustainable; supply chain; multi-channel; closed loop.
Network and Government Intervention influencing Sustainability and Business Growth of SMEs: A study with Indian MSMEs
by Maitreyee Das, K. Rangarajan, Gautam Dutta
Abstract: The role of corporate sustainability in driving business performance has been well researched in the case of big corporations for developed nations. But in the case of small and medium enterprises (SME) very limited research has been conducted to explore the business benefit derived out of sustainable business practices. In spite of their contribution to the economy, most of the SMEs fail to maintain a sustainable growth path in the long run. The current paper tries to estimate how effective utilization of their business network and government intervention influences the growth of SMEs through their sustainability performance. A self-administered questionnaire was developed and responses were collected from 200 SMEs in and around Kolkata. The data was analysed using Partial Least Square techniques of Structural Equation Modeling in SPSS. Results showed that both government intervention and network utilisation positively influence business growth of SMEs through their social and environmental sustainability. Also, the size of capital investment has a moderating effect on the strength of this relationship. The practical implication of the model in the Indian context has also been discussed along with future research possibilities
Keywords: Small and Medium Enterprises; Corporate Sustainability; Sustainable Business Growth; Social and Environmental practices; business performance; Network; Collaboration; Government intervention.
Experimental Investigation on Four-Stroke Catalytic Coated Spark Ignition (SI) Engine to Promote Cleaner Environment
by Sureshbabu Yessian, Ashokavarthanan -
Abstract: In the present scenario, automobile manufacturing industries face challenges in marketing vehicles with internal combustion (IC) engine to customers due to strict government regulation on emission norms and customers expectation on better engine performance. Hence, it is very important to identify some technique to reduce the emission level and also to improve the engine performance. The catalytic coating is one of the most suitable techniques for reduction of pollution level and increasing the engine performance. In this paper, the outcomes of investigations carried out on the emission control and engine performance of catalytic coated single cylinder four- stroke spark ignition (SI) engine are discussed in detail. The engine combustion chamber and piston crown were coated with copper (catalyst). The performance parameters of catalytic coated engine such as torque, brake power at different engine speed and load conditions were measured using two-wheeler chassis dynamo meter. In this investigation, a comparative study was also done in parallel with conventional (uncoated) SI engine. The results showed that copper coated engine has significantly reduced levels of carbon monoxide (CO), hydrocarbon (HC) and carbon dioxide (CO2) emission compared to conventional engine (uncoated).
Keywords: Emission; Performance; Coating; Marketing management.
SWARM INTELLIGENCE BASED TASK SCHEDULING ALGORITHM FOR LOAD BALANCING IN CLOUD SYSTEM
by Komalavalli D, Padma T
Abstract: As on miniature devices to military applications, the Cloud computing plays a vital role. Building efficient cloud management systems will lead to improve extraordinary features in the applications of cloud services. In cloud atmosphere, enormous tasks are performed simultaneously; an effectual Task Scheduling is very important role to get better performance of the cloud system. An assortment of Cloud-based Task scheduling algorithms is offered that schedule the users task to resources for implementation. The innovation of Cloud Computing, conventional scheduling algorithms cannot gratify the clouds requirements, the researchers are frustrating to modify conventional algorithms that can accomplish the cloud needs similar to rapid elasticity, resource pooling and on-demand self-service. Also, the Priority becomes an important task when dealing with critical functionality systems. Real world invocations are needed to make an efficient selection in cloud services through a collection of functionally equivalent services. This research aims to detect a novel method to predict the system functionality without consuming more time and less expensive for implementation. Investigation on swarm intelligence-based task scheduling is presented. This will improve the power consumption by reducing overloads when more services opt for a single load. Experiments were carried out to test the effectiveness of the method.
Keywords: Task Scheduling; PSO; Bat algorithm; Swarm Intelligence; Cloud computing; Load balancing; low power.
Enterprise Strategic Shift of Technology: Cloud-Based Systems Verses Traditional Distributed System
by Habib Ullah Khan, Hameed Sulthan Imam Abdul Samad
Abstract: Cloud computing can be perceived as an amalgamation of technology, facilitator, source and as an application that raised the curtain for a shift in the global data management system. There is a need for more research and promotion to encourage the laggards towards this revolution. The present research is such a trial to explain laggards about the road map, framework and possible benefits of the strategic shift from traditional or distributed systems to cloud-based systems. The research work is mainly carried out to facilitate optimal Information Technology (IT) services using cloud-based technology for a medium-sized multi-national company. The study tool, a questionnaire, is shared with 250 respondents of different cadres in the organization based on 28 countries worldwide. To explain the necessity of this shift, the study collected the version of the employees regarding their favoritism for cloud technology adoption (CA) as well as the need for user training (UT) for practicing cloud adoption.
Keywords: BYOD – Bring Your Own Device; IDC – International Data Corporation; CES – Cloud Enabled Services; CAF – Cloud Adoption Framework; IT – Information Technology; SaaS – Software-as-a-Service; PaaS – Platform-as-a-Service; IaaS – Infrastructure-as-a-Service.
Developing a framework of artificial intelligence for fashion forecasting and validating with a case study
by Satya Shankar Banerjee, Sanjay Mohapatra, Goutam Saha
Abstract: Artificial intelligence has become an emerging topic of great importance in the fashion business recently, however, a systematic and comprehensive review of literature has yet to be carried out. This paper reviews the previous studies in the context of artificial intelligence and related technology usage by fashion companies in different forms and evaluates how AI and machine learning has created a paradigm shift in the fashion industry. The purpose of this study is to create a framework of AI-based product forecasting in the fashion industry. We have validated this framework with a case study in this paper. From online databases, books, magazines, blogs, industry reports, podcasts, and even youtube videos, relevant articles, extracts, chapters, and multimedia contents were retrieved and were systematically analyzed. Using these inputs, we developed a framework. The findings of our study clearly reveal that AI techniques are extensively applied in the fashion industry; however, documentation was required, which we have filled through this study. The present application of artificial intelligence requires a model-based approach that may bring consistency in research as well as in industrial applications. The framework developed by us can be applied to create products, improve margins, minimize inventory, and enhance business results in the fashion industry.
Keywords: Artificial Intelligence; Fashion Forecasting; Computer Vision; Machine Learning; AI Framework.
Influence of Social Media on Medical Chain Agility and Resilience: An Empirical Investigation
by Santanu Mandal, Venkateswar Rao Korasiga, Payel Das
Abstract: Social media has been dominant in shaping competition and business performance. However, the importance of social media in the development of medical supply chain capabilities is still unexplored. Our research investigates the role of social media as a prominent enabler of medical supply chain agility and resilience. To this end, the study explores the importance of social media interaction and social media usability on medical chain agility and resilience. Furthermore, the study examined the moderating role of social media orientation on the above linkages. The study gathered perceptual responses from key medical supply chain entities: hospitals, chemistry and pharmaceutical, medical equipment manufacturers and medical suppliers. The responses were collected using online survey and were analyzed using structural equation modelling. Based on 276 completed responses, the study found positive influences of social media interaction and social media usability on both medical chain agility and medical chain resilience. Furthermore, our study proposed and tested an alternate model for the direct influence of social media orientation on social media interaction and usability as its moderating role was not supported. The study contributes to the emerging literature of social media by undersigning the importance of social media interaction, usability and orientation in services supply chain.
Keywords: healthcare; agility; resilience; social media; dynamic capabilities; supply chain.
Integrated Quality Healthcare Practice in Hospitals A Structural Equation Modeling Approach
by Gopi Devarajan, Pal Pandi Ammavasi, Rajesh Rajamani
Abstract: In todays highly competitive environment, Health care establishments HCEs like hospitals and health centers are focusing on service quality, as a measure to face the competition. There is a strong doubt that, whether the present quality systems practice in hospitals serve the stakeholders expectations effectively. The authors felt that the proposed model namely Integrated Quality Healthcare System (IQHS) with ten important critical factors could meet out this gap. The ten important critical factors of IQHS are: Top Management Commitment, Customer Satisfaction, Health Care Work Force, Health Care Infrastructure, Corporate Social Responsibility, Knowledge Management, Hospital Culture, Health Care Insurance Programme, System for Sustainability and Hospital Environment. The IQHS model helps in achieving global healthcare quality service as it integrates various global management practices such as Lean Management, Six Sigma, ISO 9001:2008 QMS, ISO 14001:2000 EMS, OHSAS 18001:2007 and TQM concepts. The objective of this paper is to discuss the IQHS practice in Hospitals in Tamil Nadu, India through the perception of stakeholders. Further the model has been validated through Structural Equation Modeling (SEM) approach. The authors conclude that the contextual relationships of the ten critical factors of IQHS were found to be the significant drivers of quality performance to attain sustainability.
Keywords: Hospitals; Critical Factors; Integrated Quality Healthcare System; Structural Equation Modeling.
Enhance the Routing QoS for Multimedia Streaming using Two Hop Information in Mobile AdHoc Networks
by Thangiah Sathish Kumar, N.P. Gopalan, R. Rajesh
Abstract: Latest Technology as a wireless network which comprises the lack of commercial infrastructure and the transparency in mobile ad hoc network and it provides quality of service for multimedia streams when mobile nodes in static position. To communicate the service prerequisites, the existing routing protocol should communicate with a different protocol in MANETs environment, which are likely to move from an existing wireless network and any other. This paper proposed a Two-Hop neighbours detail based Directional Route (THDR) routing protocols in the MANET, to provide guarantees for multimedia streaming in dynamic environment of mobile node. THDR routing protocols believe the conditions of the equivalent properties and real-time multimedia channels. Each forwarding node offers two hop points to implement a twin decision to keep communication holes on the network topology. The authors conclude that the proposed THDR is more suitable for multimedia streams than other geographic routing protocols in MANET.
Keywords: Mobile Adhoc Networks; Two-Hop Routing Details; Multimedia Streaming; QoS.
Trends and topics in IJENM from 2006 to 2020: A statistical history using topic modelling
by S. Sivanandham, M.S. Gajanand
Abstract: The International Journal of Enterprise Network Management (IJENM) has been disseminating innovative research in understanding the complexity of a supply chain in an enterprise-wide scope in various industries using frameworks, adapted theories and configurable models since 2006. In this paper, we study the history of IJENM by analysing the articles published in the journal using text mining and topic modelling to bring out the evolution of topics and focus areas. We used text mining to identify the most frequently occurring terms in the title, keywords and abstract of IJENM papers and constructed co-occurrence network to analyse the interrelationship between focus areas. We then used topic modelling techniques to perform an unsupervised review and analysed the temporal trends of top 10 topics in the journal. Our results showed that the focus area of IJENM started with traditional issues related to supply chain, and in the recent years has also started to cover trending topics like analytics, technology and Internet of Things. Our results indicate the evolving interests of the journal and its readers over the last 15 years and could benefit different stakeholders in the academic community to identify promising topics and realigning the focus for journal development.
Keywords: Topic modelling; Latent Dirichlet Allocation; Bibliometric analysis; Text analysis; Enterprise management.
Nexus between Carbon Emission, Energy Consumption and Macroeconomic Variables: Empirical Evidence from Thailand
by Muhammad Haseeb, Kittisak Jermsittiparsert
Abstract: In this study, authors have analyzed the effect of both renewable and non-renewable energy consumption sources, terms of trade, GDP per capita, agriculture value added, government spending on education, and electricity production through coal and oil on carbon emission in Thailand. A time period of 27 years is observed from 1991 to 2017 with annual observations. All the variables are secondary in nature and their lagged predictors are separately considered to analyze the level of CO2 emission. Findings under regression analysis explain that without the presence of any other variable, renewable energy consumption has a significant impact on CO2 emission. Under the full regression model, effect of REC, ITOURISM and Government spending on education is significant for carbon emission in Thailand. From lagged predictors, lagged values of CO2 emission, NREC , and energy production are found to be significant determinant. As per limitation, this study has no concerned with socio-economic variable, hence future studies can be conducted while focusing household consumption, income and education level etc. Practical implication reflects guidelines for both policymakers and researchers from the context of CO2 emission and its determinants.
Keywords: Energy Consumption; International Tourism; Energy Production; CO2 emissions; Thailand; Socio-Economic Variable; REC; ITOURISM; variables and methodology; Descriptive Statistics; Macroeconomic Variables; Annual Observations; Government Spending on Education; And Electricity;.
Engineering changes research findings and future directions
by Balakrishnan AS, Jayshree Suresh
Abstract: Todays global competitive market and diverse advancements of technologies force any firms to focus on core business processes to launch their product on time to market. Though there are more literature on engineering changes (ECs), the sufficient frame of reference is not sufficiently developed in terms of its classification. Hence, a brief sorting to help researchers and academicians in understanding ECs from broader outlook is necessary. In this research work, the literature on ECs categorized on the basis of 1) problematic environment, 2) approach and methodology adopted to improve organization performance. Total 231 published articles were classified and examined for future research opportunities by using the literature gaps. A timeline representing related papers is also provided to understand ECs relation with respect to product development and operations. To strengthen the research findings and future directions, a case study included related to ECs influence on automotive supply chain.
Keywords: Engineering change; ECs; Literature; Problematic environment; Approach and methodology; Product development; Operations; automotive supply chain.
Taguchis Robust Parameter Design to Analyze Ordered Categorical Data Using Inverse Omega Transformation
by M. Shilpa, Parthiban Palanisamy
Abstract: The manufacturing industry is striving hard to gain an edge over its competitors as far as the product quality is concerned. The product may have both variable and attribute quality characteristics. The variable cases are addressed using Shewharts variable control charts, process capability analysis etc. Most of the attribute cases are addressed using fraction defective; this serves as a quality measure. When such attributes of the product are categorized according to their severity, then the same case may be dealt with as Ordered categorical data. This research work presents the use of Taguchis parameter design to improve the product quality during spline hob operation of a shaft. The visual defects that occur during this operation are treated as ordered categorical data and the analysis of this data is carried out using inverse omega transformation. The paper has resulted in determining the optimum settings for the process parameters in the spline hob operation.
Keywords: Ordered categorical data; accumulation analysis; omega transformation; robust design.
A system dynamics-based approach towards sustainability of a rural milk dairy venture
by Vasanth Kamath, Seena Biju
Abstract: India, being one of the largest producers of milk in the world, is witnessing unprecedented shutdowns amongst small-scale dairies due to business sustainability challenges. This could be attributed to adoption of event-based focus on systems and ignoring the time delays between the cause and the effects by the entrepreneurs. These shutdowns can be critical as the small-scale dairies heavily contribute to the countrys overall milk production capacity. Through this article, we attempt to present a real-life case of a rural dairy highlighting an entrepreneurial dilemma and demonstrate the usage of Group Model Building (GMB) techniques for conducting System Dynamics (SD) simulation using Vensim
Keywords: Dairy farming; Entrepreneurship; Group Model Building; MSME; System Dynamics.
Analysis of Rising Trend of Online Streaming Services during Pandemic Situation of Covid-19
by Khushboo Agnihotri, Sachin Kumar Srivastava, Mohd. Saif Nawaz
Abstract: The implementation of nation-wide Lockdown during this pandemic situation has resulted into huge impact on the living style of everyone and affected various industries and companies during this lockdown resulting into a boom for those who were already present in the Market with their stronghold in the online market. Some of these were the digital payment method, streaming service providers, online study platform etc. Some of these services even reported a boom in their profit and market shares. The goal of this study was to identify the major streaming service providers in India and assess whether they made a profit during the lockdown or remained in the same position monitoring their growth whether it be the increase in the number of subscriber, increase in the streaming time and increase in the customer satisfaction.
This study will help in assessing whether the companies really incurred a profit while providing the same user satisfaction and experience what they were providing before the lockdown.
The result of the study shows that there was increase in the number of subscribers, there was increase in the streaming time and there was a slight increase in the customer satisfaction of the companies. The study points out that there was a definite increase in the business of these companies and the result of this will be showcased in the companys annual account statement whenever it become public.
Keywords: Covid 19; Online Streaming; Online plate-form; Online education service providers; Online streaming service providers; Delivery service providers; Internet and Broadband providers.
The Implementation of Occupational Health and Safety Management System to Improve Performance of Human Resources Development
by Hardani Widhiastuti, Gusti Yuliasih, Yudi Kurniawan
Abstract: : This study emphasizes the poor performance of Human Resources Development which is caused by Occupational Health and Safety (OHS) Management System. It aims to improve the performance of human resources by examining the effect of occupational health and safety system, work-related stress, as well as the role of motivation for OHS management. This study was conducted to produce a model and an analysis of Occupational Health and Safety related to Performance of Human Resources (HR) Development. The subject was 80 employees of PT.PLN Persero APD in Central Java and D.I. Yogyakarta. This study used a quantitative method by using descriptive statistics and Partial Least Square (PLS) technique to analyze the effect of each variable. Based on the Q square results, its value is accounted for 0.60. This shows that Q squares value is larger than 0.5indicating that factors of OHS management system, work-related stress, and motivation in OHS management have a good prediction level on the performance of human resources management. The aftereffect of OHS the executives framework examination influences the representatives' inspiration of the OHS the executives by 0.424. Business related Stress on the Motivation of OHS Management for - 0.321 and Motivation of OHS Management affects Performance Development of Human Resources by 0.642. Consequently, it could be presumed that the three speculations were acknowledged. The shortcoming of this examination, be that as it may, is the subject of the investigation who are workers in PT PLN Persero APD Central Java and D.I.Y. Their working zones were every now and again moved so as the exploration area. In addition, the condition and circumstance of the subjects exceptionally affected their filling in the surveys since their works are very hard identified with power load the executives for systems all through Indonesia.
Keywords: OHS Management System; Work-related Stress; Motivation of OHS Management; Performance of HR Development.
OPTIMIZATION OF MULTIPLE TRAVELING SALESMAN PROBLEM USING META HEURISTIC METHODS
by Parthiban Palanisamy, Dhanalakshmi R
Abstract: Travelling Salesman Problem (TSP) is a well-studied problem in the combinatorial optimization area. But the most computationally complex combinatorial optimization problems are the Multiple travelling salesman problem (mTSP) which is an extension of the former. This problem related to accommodating real world problems where there was a need to account for more than one salesman. This paper involved the application of heuristic methods to solve 180 cities, 6 traveling salesman problem to minimize the distance of the tours. A k-means clustering algorithm was used to transform a m-TSP to a TSP. Once the clustering had been done Genetic Algorithm were applied to the cluster and iterated to obtain the most optimal value of the distance after convergence takes place. Now every cluster was again solved as a TSP by applying the Ant Colony Optimization (ACO) algorithm to determine the optimal distance value. After the application of both the heuristic techniques, it was found that the Ant Colony Optimization algorithm gave a better result and a more optimal tour than Genetic Algorithm due to the extensive search and constructive nature of the algorithm.
Keywords: Ant colony optimization; Genetic Algorithm; K-Means Cluster Algorithm; MultipleTravelling Salesman Problem.
BIG DATA ANALYTICS FOR IMPLEMENTATION OF LEAN AND GREEN IN MEDIUM SCALE INDUSTRIES
by Parthiban P, S. N. Sathiya Narayana
Abstract: Lean manufacturing is a tool, which is used to cut down waste and to improve the efficiency of an organization and helps the organization to sustain in the competitive environment. Implementation of green systems in organization results in reduce energy consumption, waste generation, and hazardous materials used while also building the companies images as socially responsible organizations. Lean and green systems are associated with waste reduction techniques. In foreign, many industries have started implementing these concepts, and they are getting good results. In India, companies are facing problems in implementing the lean and green concept. This paper investigates critical success factors for implementation of the lean and green concept in Indian medium scale manufacturing industries. The factors are grouped into different levels by Interpretive Structural Modeling (ISM). The Analytic Network Process (ANP) method has been used to determine the extent to which the main principles of lean and green manufacturing have been carried out in the six Indian medium scale manufacturing industries.
Keywords: Lean manufacturing; Green manufacturing; Interpretive Structural Modeling (ISM); Analytic Network Process (ANP).
An Effective HPSO-MGA Optimization Algorithm for Dynamic Resource Allocation in Cloud Virtualization Environment
by Vadivel Ramasamy, SUDALAIMUTHU T
Abstract: Cloud computing is emerging and popular computing paradigm for the todays computational applications. The strength of cloud computing is that dynamic scaling of resources available to users as needed. The challenge of existing methodologies for dynamic resource allocation is that do not provide effective performance isolation between the VM and Artificial Demand Analysis machines as it gets affected by interferences. To overcome these issues, this paper proposes a conceptual model and an algorithm to achieve dynamic resource allocation by migrating tasks or requests in VMs in an effective way. At first, task demands from the multiple users go to the feature extraction process. In feature extraction, features of the user's tasks and cloud server are extracted. Next both features are reduced by using Modified PCA algorithm to reduce the dynamic resource allocation processing time. Finally, both the features are combined and resource allocation is performed using Hybrid Particle Swarm Optimization and Modified Genetic Algorithm (HPSO-MGA), the optimized task has been scheduled to particular VM for allocating the resources in an efficient manner. The experimental result of the proposed resource allocation methodology indicates better performance when compared with the existing methods Firefly and Krill herd Load Balancing (LB). For 100 VMs the reliability of HPSO-MGA is 0.89 but the exiting krill herd LB and IDSA gives 0.78 and 0.85, which is lower than the proposed
Keywords: Virtual Machine (VM); Dynamic Resource Allocation; Modified Principle Component Analysis (MPCA); Hybrid Particle Swarm Optimization-Modified Genetic Algorithm (HPSO-MGA).
Special Issue on: BDSCC-2018 Big Data Innovation for Sustainable Intelligent Computing
A Collaborative Defense Protocol against Collaborative Attacks in Wireless Mesh Networks
by Diana Jeba Jingle, Mano Paul P
Abstract: Wireless Mesh Network is an evolving next generation multi-hop broadband wireless technology. Collaborative attacks are more severe at the transport layer of such networks where the transmission control protocol's three-way handshake process is affected with the intention to bring the network down by denying its services. In this paper, we propose a novel Collaborative Defense Protocol (CDP) which uses a handshake-based verification process and a collaborative flood detection and reaction process to effectively carry out the defense. This protocolpresentsa group of monitors that collaboratively entail in defending the attack; thus reduces the burden on a single monitor. Moreover, this paper proposes a novel transport layer Post-connection flooding attack that occurs after establishing a TCP connection and we show that CDP can detect and mitigate this attack.The CDP protocol has been implemented in Java and its performance has been evaluated using essential metrics. We show that CDP is efficient and reliable and it can identify the attack before any major damage is occurred.
Keywords: Collaborative attack; handshake-based; request packets; regular packets; connection flooding.
Realignment of supply chain for profitability: overcoming the financial challenges of e-retailing in India
by Balkrishan Sangvikar, Ashutosh Kolte, Avinash Pawar, Khadke Kaustubh
Abstract: The supply chain profitability is a major concern for organizations due to cost elements involved in the supply chain functions. The financial challenges are more intense in e-retailing business than other sectors where the dependency on the supply chain is highest. The supply chain plays a crucial role in deliberating the cost of product and profitability for the manufacturers, distributors, and retailers. This paper analyzes the supply chain issues faced by e-retailers and proposes ways to save cost, improve performance, and cater to the needs of customers. This study has adopted the descriptive research design and conducted interviews of employees, warehousing staff, and delivery associates of e-retail companies (Flipkart and Amazon) to get the inferences. The outcome of the paper signifies the means for cost optimization, enhancement in operations, and improvement in the delivery performance of e-retail supply chains. It also proposes the cost management model for e-retail supply chains to operate effectively in the Indian environment.
Keywords: E-retailing Supply Chain; Supply Chain Cost; Supply Chain Optimisation; Innovation in Supply Chain; Strategic Cost Management; Supply Chain Performance.
INVESTIGATION OF APPLIED CRITERIA FOR SELECTING ONLINE RETAILERS: THE IMPLICATIONS FROM INDIAN MARKET
by Ashutosh Kolte, Balkrishan Sangvikar, Avinash Pawar, Jagbir Singh
Abstract: Today, online retail businesses focused on the adoption of customer-centric approaches and process improvements in the business. Since the last few decades, information technology trends and internet technologies are providing business opportunities to marketers in the online retail segment. Many retailers have started their online transactions and opened new formats of retailing called e-retailing. Online retailers cannot ignore these factors used by the consumer during the selection of an online retailer. This paper identifies the factors and criteria used by consumers to select online retailers for their consumption needs. The data collected revealed the selection criteria used by the consumers to select online retailers for their shopping. After collecting the data, the analysis is done using the statistical technique of interval estimates of the proportion. The outcome of the paper deliberates the significant factors considered by the consumers while selecting online retailers were price range, offers and discounts, product quality, available payment methods, transparent return policy, detailed product description, delivery options, online retailers image, trust, word of mouth, social media reports, customer reviews, website interaction, respecting privacy and security of data. Furthermore, a model of online retailing with criteria is proposed, which can help the retailers to operate their business in the Indian retail environment effectively. Hence, the outcome of this study provides valuable information that can be used by online retailers to be more visible and aligned for customers and will be able to serve them effectively as expected by them.
Keywords: E-retailing; Retail Technology; Online Retailers; Retailer Selection Criteria; Retail Consumer Influence; Online Retailer Selection Model; Consumerism in India.
Influencer Marketing An Instrument to Proliferation of the Digital Occurrence
by Bhuvanesh Kumar Sharma, Vimal Bhatt, Lokesh Arora
Abstract: Influencer marketing received prominence as a mighty device for brands to connect with consumers because of the high belief aspect that social influencers shared with their audiences. The purposes of this research are to find out consumer preference for particular social media channels for influencing marketing, what would be the right run time and the influence of influencing marketing on creating purchase intent to the consumers. The outcome of this research suggested that influencer marketing is very effective among youngsters and YouTube is the most preferred social media channel to get influences. The study suggested that the organizations able to develop trust in users through influencer marketing and evening after 7 PM is the most preferred time when users are most active on social media and to get influenced. Further, the study also suggested that influencing marketing is more effective in creating purchase intent among young consumers.
Keywords: Influencer Marketing; Social Media; Purchase Intention; Consumers; Trust.
A Study on Occupational Health Hazards among Construction Workers in India
by Ravi Kumar Gupta
Abstract: Construction work is one of the most hazardous work across the globe. The workers involved in the construction industry are being underpaid and extremely vulnerable to the occupational health hazard and absence of social security mechanism. The construction workers probabilities to expose to risks of a workplace accident are high. The workers are exposed to a host of hazardous substances, which has the potential to cause serious health and occupational diseases. They are being exploited in the terms of low wage, non-availability of social security, work with low payment and sexual harassment at workplace. The paper examines the present health status of the construction workers in the Gorakhpur city of Uttar Pradesh, India. Primarily it examines details of accidents in past five years, reasons of workplace accidents, illness/injury and treatment, Man-days and income lost due to illness and hospitalization. The result shows that the workers are extremely vulnerable to occupation health hazards.
Keywords: Construction workers; Occupational Health Hazards; Safety; India; Informal Sector; Workplace Accidents; Illness; Injury; Treatment; low payment; sexual harassment; workplace; Man-days; income; occupational diseases,.
Scientific production on academic plagiarism in Spanish: Analysis over the period 2003-2019
by Dennis Arias-Chávez, Julio E. Postigo-Zumarán, Klinge Villalba-Condori, Teresa Ramos-Quispe
Abstract: This study aims to characterize, through bibliometric indicators, the scientific production on academic plagiarism in universities in Spanish journals between the years 2003-2019. For this purpose, a descriptive-retrospective bibliometric study was carried out on the entire scientific production in the Spanish language that deals with academic plagiarism in that period. Using academic Google as a database, bibliometric indicators were calculated by using the software Publish or Perish v. 7.10 and 996 results were obtained, of which 155 articles were finally selected. From the analysis carried out, it is observed that of a total of 905 citations, the average is 181.00; 5.84 and 457.37 citations per year, articles and authors respectively. The publications have an h-index of 16 and a g-index of 19. The annual production of 2015 stands out with 41 publications. In addition, the largest number of authors work individually (106 articles). The selected 155 articles were written by 411 authors, generating a collaboration index of 2.65. Also, the SciELO Electronic Library, in several of its variants, is the database that, with 29 results, houses the largest number of scientific publications on academic plagiarism in universities. These results show that the scientific production related to academic plagiarism in Spanish language in the university environment is scarce and is declining as of 2016.
Keywords: bibliometrics; scientific production; academic plagiarism; universities; SciELO; articles; authors; Electronic Library; environment; Spanish journals; American campuses; bibliometric studies; h-index; q-index g,.
Investigation of Green Marketing Practices of UAE Hypermarkets
by Shanmugan Joghee, Anil Roy Dubey, Sonia Singh
Abstract: The purpose of this investigation is to explain an empirical relationship between green principles and the firms competitive advantage. The study is intended towards establishing an association among the constructs of green marketing constructs and firm competitive position. Green loyalty has been investigated as a mediating factor among this direct association of green principles. The data has been taken from prominent hypermarkets' customers in Dubai. This empirical research is quantitative and a cross-sectional study. The data has been collected by adopting a convenience sampling method and targeted respondents of the study were 343. The collected data were analyzed by using SPSS and the mediating effect of green loyalty also been measured. The findings highlight the mediating stance of green loyalty among professionals that ultimately links towards their competitive advantage. The hypothesis testing shows a moderately significant association among the variables, positively impact the firms competitiveness and promotes green practices.
Keywords: Green satisfaction; Green Loyalty; Green Trust; Greening; Green Marketing; Organic Products; Organic Marketing; Competitive advantage; practical implications; suggestions for hypermarkets; green marketing practices; waste material; packaging; local grocery stores,.
Green Purchasing Behaviour among Malaysian Private University Students: Analysing Environmental Awareness, Environmental Concern and Perceived Consumer Effectiveness Perspective
by Mahiswaran Selvanathan, Precious Indira Jumbe, Mahadevan Supramaniam, Thilageswary Arumugam, Mahathir Yahaya
Abstract: The purpose of this study was to determine the factors that are significant in influencing the Green Purchasing Behavior of consumers in Malaysia. This study includes the analysis of the three factors that, in the researchers opinion, affect the Green Purchasing Behavior of consumers in Malaysia. The factors examined in this study are Environmental Awareness, Environmental Concern, and Perceived Consumer Effectiveness. The study discovered two out of three hypotheses, were found to have significant relationship. The justification and explanation of the results is provided in this study. Additionally, there are some previous research also found that there was no significant relationship in the same variable as that which was found in this research. This study found that Environmental Awareness and Perceived Consumer Effectiveness are the two factors found to influence Green Purchasing Behavior among consumers in Malaysia. These results has implicit contribution corporate organizations and government in attempt in increasing the green purchasing behavior of consumers in Malaysia in pursuant to global concern to preserving the environment.
Keywords: Green Purchasing Behavior; Consumers; Environmental Awareness; Environmental Concern; Consumer Effectiveness.
Effect of Business Characteristics and Business Capital Towards the SMEs Success in Bogor City
Abstract: This study aims to examine the effect of entrepreneurial characteristics and venture capital on business success. The population in this study is the Micro Small and Medium Enterprises in the field of agribusiness in the District of Tanah Sareal Bogor City, amounting to 71. Data collection was carried out by interviewing and distributing questionnaires to respondents. The sampling technique uses simple random sampling with the Slovin technique so that from 71 populations 41 respondents are obtained. The data analysis tool uses multiple regression with the help of software. SPSS Version 22 The results of the study prove that both simultaneously and partially the characteristics of entrepreneurship and venture capital have a significant and positive effect on the success of micro and small businesses.
Keywords: Entrepreneurship characteristics; capital management; Business success.
Reliable Energy Preserving Cluster Based Routing Policy with Optimal Route Selection for Wireless Sensor Networks
by Yasotha S M, Gopala Krishnan V
Abstract: Wireless Sensor Networks (WSN) is one of the hottest research areas, owing to its wider applicability. Due to its effectiveness and inexpensiveness, most of the domains enjoy the benefits of WSN. However, WSN still combats with the major issue, which is energy efficiency. Though WSN is capable of performing numerous activities, the energy stringency controls the actual functionality of WSN. Energy conservation is the crucial requirement of WSN and this paper attempts to propose an energy preserving cluster based routing policy for WSN. The underlying roots of the proposed approach are clustering approach and optimal route selection. The sensor nodes are clustered and the cluster leader is selected by means of trust level of the nodes. The optimal route selection is performed by cuckoo search algorithm. The performance of the proposed routing policy is analysed and evaluated in terms of packet delivery rate, latency, energy consumption and network lifetime. The proposed approach shows better network lifetime than the existing approaches.
Keywords: Wireless Sensor Networks; network lifetime; energy conservation; routing.
An Empirical Analysis of ICT tools with Gamification for Indian School Education System
by Charvi Wadhwa, Prabu P
Abstract: Information and Communication Technologies (ICT), is used as a part of different fields, for example, training, business and health-care. The main objective of this paper is to introduce ICT as a better method to teach and test students performance so it can become a part of school curriculum and enhance learners experience. To accomplish this objective, multiple literature were studied to get insights of the factors associated with ICT and Gamification. Based on the findings, a survey was conducted on teachers to know the favorability of ICT in modern schools. Based on the response, two application prototypes are developed for students to get their performance and results that support the study. Most importantly, similar concepts were taught to students using both, traditional and ICT based approach. A test was conducted via both the methods. It was discovered that the performance of the students increased by 13 percent when the modern approach was followed to conduct the test.
Keywords: ICT; NodeJS; MongoDB; VR; virtual reality; gamification; e-learning; motivation.
IoT based Tracking Application to monitor goods carrying vehicle for Public Distribution System in India
by Sathish Kumar Ravichandran
Abstract: Designing a secured transportation system to handover food items to various fair price shops is one of the objectives of smart city development in India. In this paper, an IoT based tracking solution for moving goods carrying vehicle is proposed. A hardware prototype model is developed using different sensors with GPS/GPRS tracking module and is attached to the vehicle. An alarm is raised to make decision in case of trouble or malfunction. The data generated by the model during the movement of vehicle is encrypted using RSA algorithm and sent to cloud for monitoring by an application developed using PHP and analysis using Map Reduce programming model. Experiments are conducted to study the feasibility of the developed model during deployment. From the experiment it is observed that, the developed hardware model and the application meet the objective of monitoring vehicle, safer recovery in case of malfunction and secured delivery of items.
Keywords: Internet of Things; Vehicle Monitoring; Sensors; Hardware model; Application development.
Internal Determinants of Company Value with Leverage as a Moderating Variable
by Dewi Anggraini
Abstract: Cement companies (CCs) support the government's role in building community welfare. Along with the increase in company sales, some raw materials are still obtained by import, which can affect the company's income, because the high or low income of the company will have a direct impact on the company's value. This research was conducted to identify internal factors that influence the value of the company with the determining variable as a variable that can moderate the influence of the independent variable on the dependent. This type of research is quantitative, and the population of all cement companies (CCs) is five companies listed on the capital market based on 2018. Determination of the sample using purposive sampling, found three companies analyzed, namely cement companies (CCs) that were consistent during the research observation period listed on the Indonesia Stock Exchange. The data analysis technique used panel data regression analysis with a moderated regression analysis (MRA) model; the data were analyzed by eviews application. The results showed that return on equity (ROE) had a positive and significant effect on Tobin's q. Besides, the debt to equity ratio (DER) can be expressed as a variable that moderates ROE has a negative and significant impact on Tobin's q. The practical implications for companies need to analyze and evaluate the DER ratio, along with the high value of DER due to the amount of the company's debt is greater than the capital. A high DER can affect ROE on Tobin's q.
Keywords: debt to equity ratio; return on equity; tobin's q.
Special Issue on: Digital Technologies for Enterprise Network Management
AN ENVIRONMENT-ADAPTIVE DISTRIBUTED NODE JOINING APPROACH AND A SECURE CLUSTER BASED ARCHITECTURE FOR MANET
by Serin V Simpson, Nagarajan G
Abstract: The increased popularity of mobile ad hoc networks (MANET) is only due to their unique characteristics. It requires highly efficient mechanisms, in order to cope with the dynamically changing topologies. The environmental changes in turn increase the complexities of algorithms used to maintain the topology. A keen analysis of network scenarios is required to maintain a balanced network in all aspects. A centralized monitoring system can address this issue up to a tolerable level. But, that in turn increases the risk of one point failure as well as the problems due to unavailability. The main goal of this work is to propose a secure, environment-adaptive distributed node joining approach for MANET. It uses a cluster based network model. This approach reduces the risk factors at the time of node joining as well as it can maintain the network in a balanced manner. The aim of this work is mainly focused on the problems of the MANET due to the dynamically changing topologies.
Keywords: MANET; Cluster Based architecture; EDCT; Secure Routing; Node Joining Algorithm.
Profile matching of online users across multiple social networks: A text mining approach
by Deepesh Kumar Srivastava, Basav Roychoudhury
Abstract: Profile matching of a person using various online social networks is a non-trivial task. Major challenges in developing a reliable and scalable matching scheme include the non-availability of the required information or having contradictory information for the same user across these networks. In this study, we propose a method that utilizes the contents generated by or shared with users across their online social networks. With the help of text mining techniques, we extract the high frequency words and common high frequency words in the user's posts/tweets (content attributes). Based on experiments with real datasets, this method provides 72.5 percent accuracy in identity matching amongst users profiles. Given the data, we develop classification models, and we achieved accuracy and F1 score of 72.5 percent and 67.0 percent respectively. This study will be helpful to enhance the accuracy of the identity resolution frameworks.
Keywords: Keywords: Classification models; content attributes; identity matching; identity resolution; online social networks; text mining.
Digital Commerce in Enterprises
by Sivaram M, Porkodi V, Jayanthiladevi A
Abstract: Digital technology in digital age change the way of people live, interact and work. Digital transformation in business improves the performance, profit and customer satisfaction. Digital commerce integrates digital technology in all arenas of business which change the business operation, customer experience and agility for delivering value to customers. Digital commerce provides a global reach by increasing accuracy of business process, level of client provision , stream of belongings ,data and reduces cost of professional. Digital commerce change the way consumer makes their purchase decision. The enterprise should understand the perspective of digital commerce in business process to foresee the technological impact on integrating business function and process. Digital/Electronic commerce reduces a lot of overhead in the economy.
Keywords: Business value; Enterprise; E- Commerce; online retailing,Technology.
Design of an Enterprise Cloud-Based Intrusion Detection System Model, using Back Propagation Network Based on Particle Swarm Optimization Algorithm
by Nagarajan G, G.V. Sushmitha, R. Susmitha
Abstract: On this paper the IDPS utilizes a close-by computational lattice to go over malevolent practices in a genuine time way. On this paper, the machine proposes a wellbeing gadget, named the interruption location and assurance machine (IDPS for snappy) at machine name degree, which makes individual profiles for clients to save music of their usage conduct as the scientific capacities. The proposed sketches are showed up with virtual legal sciences strategy and interruption location system. The measure of hacking and interruption episodes is developing alarmingly every yr as new time takes off. in this endeavour, the apparatus planned interruption identification gadget (ids) that executes predefined calculations for distinguishing the strikes over a system. In this way, in this undertaking, a security gadget, named the inner interruption identification and insurance framework (IIDPS), is proposed to go over insider ambushes at sc degree by means of utilizing measurements mining and legal strategies. The gadget can discover a buyer's scientific abilities through examining the relating SCS to upgrade the precision of assault identification, and ready to port the IIDPS to a parallel framework to additionally abbreviate its recognition response time on this mission.
Keywords: virtual legal sciences strategy.
PERFORMANCE TESTING IN LEXICAL ANALYSIS ON LATEST TWITTER TRENDS for ENTERPRISE NETWORK USING PIG
by Desurkannadasanr Rajendran
Abstract: Twitter usage is outgrowing each day and so is the ever changing enterprise trend. The data flow keeps on increasing each day through tweets and thus analysis on the latest trends in enterprise are done by using most widely used framework for processing large datasets-Apache Hadoop. This paper presents an overview of Twitter Trend analysis using Apache PIG in Hadoop framework and it performance will be tested using lexical analysis in enterprise management. Hadoop is preferred over other frameworks due to its robustness, scalability, cost effectiveness and high speed which makes parallel processing over distributed network easy. The paper also shows results obtained through lexical analysis done on the Hadoop cluster to show efficiency of the program .
Keywords: Use Twitter; Apache; Hadoop; PIG; Lexical Analysis; Enterprise; robustness; scalability; parallel processing.