International Journal of Enterprise Network Management (38 papers in press)
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.
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.
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,.
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.
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.
Taguchi's 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).
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.
A causal model to prioritize the task of work packages in R&D projects
by Ramanathan M, Punnniyamoorthy M, Balamurugan V, Ravi B. I
Abstract: Evaluation of Research & Development (R&D) project is important for prioritizing the tasks that are vital for the success of projects. In this paper, the Work Breakdown Structure (WBS) principle has been applied to convert the R&D projects of the Defence Research & Development Organisation (DRDO) in India into a number of work packages. The DRDO projects are classified into five groups, and under each group, there are some 11 common work packages identified to complete the projects. Each work package consists of metrics and prioritizing these metrics is important to concentrate on these important metrics as it is a project success criterion. A casual model has been developed in this paper for this purpose. An instrument has been developed, and the data were collected through a survey from 179 senior Scientists of DRDO. Based on the results of the casual model developed, the metrics have been ranked from the work packages based on their respective complexity. The ranking of metrics in each work packages can help the project in-charge of any project in tactical and operational level activities down the line. The methodology adopted in this paper can be extended for the projects of such a similar nature.
Keywords: Work Break down Structure; Casual model; R&D projects.
Information and Communication Technology application in Supply Chain Management: A Literature Review
by Narassima MS, Prashant R. Nair, Anbuudayasankar SP, Ganesh K
Abstract: A systematic review of the literature on the impact of Information and Communication Technology (ICT) in Supply Chain Management (SCM) has been presented in this study. The benefits of ICT deployment for SCM, the Supply Chain Performance Measures & Constructs and SCM Process Reference Models developed by Supply Chain Council and Global Supply Chain Forum (GSCF) are presented. Several ICT tools that are widely deployed and emerging tools have been discussed. Also, the impacts of these ICT tools across various facets and echelons of Supply Chain have been presented. Though it is well-known that ICT positively affects SCM performance and improves supply chain capabilities, the dearth of literature in the quantification of the impacts and a need for a generic framework for performance measurement of ICT deployment for SCM open avenues for further research.
Keywords: Information & Communication Technology (ICT); Supply Chain Management (SCM); Supply Chain Performance Measurement; Supply Chain Operations Reference (SCOR); Supply Chain Metrics.
Reinventing Healthcare Services through Online Communities- Exploring the Key Determinants
by Amaresh Panda, Sanjay Mohapatra, Prakash Dash
Abstract: With the evolution of technology and the availability of advanced service delivery approaches, usage preference regarding the healthcare industry is changing. Technology has converted patient's roles from treatment seeker to health information contributor. Looking at the vast population of India, it is adequate to incorporate technology and use advanced technological features, which will make it easy, quick and transparent for users. Integration between biology and technology with the help of Internet features changes the face of traditional treatment practices. It enables users to collaborate to share information, seek consultation, develop social bonding and carry research to fight critical health conditions. The current COVID-19 pandemic has forced the world to change the way it has been operating and be more technology-friendly. Wide usage of Information systems with the evolution of Internet Technology is continuously adding new outlooks to the legacy treatment practices. These new outlooks are the combined reflection of certain key factors, which are essential from both users as well as service provider perspective. This study aims to systematically evaluate all these vital factors and understand their roles in effective healthcare delivery.
Keywords: Online Healthcare Community; Healthcare Service Offerings; COVID-19; Virtual Care Practices.
Performance Sustainability and Knowledge Management Practice in Manufacturing Industry A Theoretical Model
by Sanjit Jayakumar, Manoharan T.R, Rajesh R, Pal Pandi A
Abstract: The knowledge management (KM) gets importance in the organizational perspective. In this context, the present authors have developed a conceptual model by using, Knowledge Management Practice (KMP) in Manufacturing Industry for attaining performance. Based on various literature reviews, ten important intervening critical factors / enablers (Organizational Structure, Leadership, Training, Employees Motivation, Socialization, Organizational Culture, Learning Attitude and Behaviour, Organizations Commitment, Information Technology, and Knowledge Management Audit) are identified under KMP and a conceptual research model is proposed to examine the extent of its practice in manufacturing industry in achieving performance of manufacturing industry. The aim of this paper is to discuss the identification of enablers through various research studies and proposed enablers based knowledge management practice in manufacturing industry for maintaining sustainability and performance. The proposed model has been validated by framing hypotheses and confirmed with the findings of various earlier studies. Further, the authors suggest that, the conceptual model can be tested and validated by empirical means.
Keywords: Knowledge Management; Enablers; Conceptual Model; Knowledge Management Practice.rn.
Green Information Science (GIS) with its potentiality as M.Tech. GIS Integrated programTowards Energy Efficient IT Infrastructure: A Techno, Educational & Policy Framework
by Prantosh Kr Paul, R. Rajesh
Abstract: Green Computing is a kind of field of study, research practice which is responsible for designing furthermore development of computing devices and system based on less power management principle. It is a kind of Eco friendly platform as well as architecture making. Green Computing ultimately reduces less harmful chemical CO 2 including more harmful gas with such as CFC. Minimization of lead is possible with Green Computing practice. As computer deals with various kinds of chemicals and therefore IT organizations including its designing and development should be considered as important. This work is kind of conceptual one with the potentialities including Green Informatics in techno, managerial context. Paper specially highlights the available program on Green Computing and allied areas in international context specially focused on designing and initiating Green Computing academic programs with reference to MTech program in Indian academics context in the line of international educational systems.
Keywords: Green Computing; Virtualization; Academics; Green IS; M.Tech; Innovative Degrees; Higher Education; Indian Academics.
Antecedents of Healthcare Risk Mitigation Capability: Impact on Performance
by Santanu Mandal, Samyadip Chakraborty
Abstract: The study aims to develop measures and enablers for healthcare risk mitigation capability. With growing importance for risk mitigation, our study develops healthcare risk mitigation capability as a first-order factor. Furthermore, it also develops its enablers and its influence on healthcare supply chain operational performance. A cross-sectional data collection approach was adopted targeting mainly experienced professionals in hospitals, chemistry and pharmaceuticals and surgical equipment manufacturers spread across two prime health destinations. Around 212 completed responses were received and were analysed using partial least squares. Our study indicated positive influences of organisation culture and top management support on healthcare risk mitigation capability. Also, it showed positive influences of organisation culture on resource commitment and from top management support. Furthermore, healthcare risk mitigation capability has positive support for healthcare supply chain operational performance. The study is the foremost to develop measures and a construct for capturing healthcare risk mitigation capability. Furthermore, it also develops the prominent enablers of healthcare risk mitigation capability and explores its effect on healthcare supply chain operational performance.
Keywords: risk management; hospital; supply chain; culture; performance.
Opportunities for emerging market LLPs to improve the service quality of automotive parts exports in post COVID-19
by Balakrishnan AS, Jayshree Suresh
Abstract: This research article proposes the service quality measures for four automotive lead logistics providers (LLPs) to improve the parts export business based at emerging markets such as India, China, and Thailand. These measures have emerged from the pre-COVID-19 perception study on service quality from 117 global automotive professionals from auto original equipment manufacturers (OEMs). Multi-criteria decision-making (MCDM) framework and questionnaire survey method was applied. It concludes with the results of different methods such as service quality (SERVQUAL), importance-performance analysis (IPA) and improvement factor (IF), to explain the significance of export business and where to improve their service quality post COVID-19. The result shows that the service quality factors of IPA model had wide-ranging reflection for LLPs to focus in comparison with SERVQUAL and IF to gauge the perception of automotive OEMs concerning the service quality of LLPs in the industry post COVID-19.
Keywords: Service quality; emerging markets; COVID-19; Multi-criteria decision-making (MCDM); automotive parts export business; importance-performance analysis (IPA).
Innovation strategy, high-tech SMEs, and innovation ecosystems: a theoretical essay
by Marcos Ferasso
Abstract: How high-tech SMEs use innovations as strategic factors in a multilevel context of an innovation ecosystem? Driven by this research question, this theoretical essay aimed to establish theoretical relations among innovations, strategy, high-tech SMEs, and innovation ecosystems. We concluded that the reduction of uncertainties of high-tech industries and SMEs can be achieved through the resources exploitation and attraction from a multilevel perspective of innovation, the innovation ecosystem. We developed propositions that interrelate the themes and identified gaps on the use of innovations as strategy factors by high-tech SMES in an innovation ecosystem metaphor. Future quantitative, qualitative and mixed methods researches are recommended.
Keywords: Innovation. Technology. Strategy. High-tech SMEs. Innovation ecosystem.
Mobile wallet app engagement and word of mouth recommendation: An exploration of antecedents
by Rishabh Shekhar, Uma Pricilda Jaidev
Abstract: The main aim of this study is to identify the factors influencing mobile wallet app engagement (MWAE) and examine those factors for segmenting users into different clusters. The researchers also wanted to determine if MWAE leads to word-of-mouth (WOM) recommendations. Previous research indicates that customization, knowledge, relative advantage, and compatibility could be possible antecedents of MWAE. Further, the mediating effects of trust and mobile wallet app usage in the relationship between MWAE and WOM recommendation were also examined. The findings of this study revealed that compatibility and relative advantage positively influences MWAE. The result supported a sequential mediation model between MEAE, and word of mouth recommendation through the mediators trust and mobile wallet app usage. Customization and knowledge do not moderator the relationship between compatibility and MWAE and relative advantage and MWAE. The entire users were segmented into three clusters based on the factors influencing the mobile wallet app engagement. The findings show that all the factors significantly differ across all three segments. Cluster 2 respondents significantly influence the mobile wallet app engagement that further leads to the word of mouth recommendations. Theoretical and practical implications are discussed. Future research directions and limitations have been suggested.
Keywords: Mobile wallet app engagement; diffusion of innovation theory; word of mouth recommendation; structural equation modelling; cluster analysis.
A comparative study of returns contract with no returns contract under monopoly and duopoly settings
by S. Yamini
Abstract: Manufacturers encourage the retailers to store more items by providing them a returns contract and protecting them against excess inventory. This study contemplates the distribution of products in a supply chain where the demand is sensitive to effort and price. Using a framework of game theory, the analysis highlights the impact of a manufacturer announcing a returns policy to the retailer when there is competition. Comparative analysis of offering a returns contract under competition with respect to no returns contract provides a better understanding about the repercussions and related facts on offering returns policy. Analytical results show that introducing returns policy under a monopolistic environment does not have an impact on the sales and it remains the same as in the case of no returns policy. On the other hand, introducing returns policy in duopolistic competition increases the manufacturers profit for the same wholesale price.
Keywords: Supply chain management; Manufacturer’s returns contract; Retail competition; Price and effort sensitive demand; Game theoryrnrn.
Selection of Coating Material for AISI 304 L SS Using Fuzzy AHP-PROMETHEE II for Erosion Corrosion Applications
by Resmi V. Prasad, R. Rajesh
Abstract: Fluid handling equipment such as propellers, impellers, pumps, and pumps in warships and submarines all suffer from flow-based erosion-corrosion concerns. While numerous coating materials are available to counteract erosion-corrosion damage in the aforesaid components, iron-based amorphous coatings are thought to be more effective. This paper concentrates on the selection of the coating material for AISI 304L SS. In this investigation, WC-10Co-4Cr coating was deposited on stainless steel substrate using MCDM techniques to select the best alternative. Fuzzy analytic hierarchy process (FAHP) is the technique applied to calculate the weights of Criteria, and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE II) is utilised for ranking the Alternatives.
Keywords: Corrosion; Fuzzy Analytic Hierarchy Process (AHP); MCDM; PROMETHEE; Erosion; Criteria weight; AISI 304L SS; Corrosion; Coating material; Alternatives.
Optimization of Drilling Process Parameters of Aluminium Matrix Composites (LM5/ZrO2)
by Jebarose Juliyana S, Udaya Prakash J
Abstract: Ceramics are incorporated into metal in the metal matrix composites (MMCs), which are tough to machine because of its abrasive quality. It is important to establish an effective technology for the efficacious machining of MMCs because of its future widespread use. The drilling of LM5 / ZrO2 composites employs Taguchi Technique to find the optimum machining parameters to minimize surface roughness. The stir casting process is used to make a novel composite prepared by combining LM5 aluminum alloy with Zirconia with three distinct weight percentages (3, 6 & 9). In the produced composites, the effect of input parameters such as spindle speed, feed rate, drill material and reinforcement percentage on surface roughness was studied using L27 Orthogonal array by conducting drilling operation in CNC machine. The research work was performed using the Taguchis Signal-to-Noise ratio approach. Response graphs were used to evaluate parametric effects. Analysis of Variance (ANOVA) was accompanied to find the related variables and assess their influence on the individualities of the response. Feed rate and Spindle speed are the most influential input parameters to achieve minimal surface roughness.
Keywords: Surface Roughness; Drilling; Composites; ANOVA; Stir casting; Taguchi Technique.
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.
Special Issue on: Transformations in Supply Chain and Network Systems in the New Normal
Prioritizing and Testing the Integrated Behavioural Model of Organizational Citizenship Behaviour through Fuzzy AHP and Structural Equation Modeling
by Arun Aggarwal, Vinay Kukreja, Kamrunnisha Nobi
Abstract: The present research aims to prioritize the factors that affect extra-role behaviour (OCB). To achieve this objective, the data were collected from 15 field experts and 559 employees working in the manufacturing industries of India. The fuzzy AHP technique prioritized the factors and structural equation modeling tested the proposed hypothesized relationships. The confirmatory factor analysis validates that leader-member exchange, procedural justice, and employee engagement are essential factors affecting organizational citizenship behaviour. Further, the results of Fuzzy AHP show that leader-member exchange ranked first, followed by procedural justice and employee engagement. The structural equation modeling result shows that perceived procedural justice and leader-member exchange positively impact employee engagement. The results further show that employee engagement has a positive impact on organizational citizenship behavior. The implications of the study can be used by the manufacturing industry as a benchmark for increasing the extra-role behaviour among the employees.
Keywords: Leader-member Exchange; Employee Engagement; Organizational Citizenship Behaviour; Perceptions of Procedural Justice; Fuzzy AHP; Structural Equation Modeling.
ADOPTION OF LEAN SIX SIGMA TO IMPROVE SAFETY CULTURE-A CASE STUDY OF INDIAN MANUFACTURING UNIT
by Monica Agarwal, Sharad Chaturvedi, Deepa Kumari, Swati Bansal
Abstract: Lean Six Sigma (LSS) is a business process improvement strategy widely used to improve efficiencies in the business. LSS, which is an integration of Lean and Six Sigma, has helped decrease various non-value-added activities, including accidents. This research paper discusses the implementation of LSS methodology using define, measure, analyse, improve, control (DMAIC) to reduce accidents in a particular manufacturing unit into consideration. A framework of LSS - DMAIC approach was proposed to reduce accidents, improve key metrics and improve the overall safety culture. The techniques used were brainstorming, the cause-and-effect diagram and Pareto analysis. Two sample T-test was used to authenticate the results. The study's primary finding was the successful and effective implementation of the LSS framework in the manufacturing unit. As a result of the exercise, accidents that are non-value-added activities were reduced. The study is novel in nature, not only for theoretical implications but also for the practical approach applied to the manufacturing units
Keywords: Manufacturing; Lean; Six Sigma; Lean Six Sigma (LSS); DMAIC; Safety.
Longitudinal assessment of green procurement practices adopted by manufacturing firms in an emerging economy using multivariate approach
by Ishani Patharia, Priya Sharma
Abstract: The Environmental Performance Index reveals that the environmental health and ecosystem vitality is critical in emerging economies of Asia. Therefore, green procurement policy has become an imperative component for the manufacturing firms. The present study critically assesses and examines the green procurement practices being adopted by the top 25 manufacturing firms in an emerging economy (which is amongst the top polluted countries of Asia) over a time period of eight years (2012-2019). The results of the study reveal that the adoption and reporting of green procurement practices is very poor. The study has practical implications for the development of pragmatic strategies by the government and the corporate strategy makers to improve the environmental performance of the manufacturing firms through green procurement practices.
Keywords: disclosure practices; emerging economy; green procurement practices; green supply chain, manufacturing companies.
A Multi Criteria Decision (Fuzzy) approach for IoT adoption in developing Nation: A Study During Covid-19
by Sanjay Rastogi
Abstract: The wave of IT development and adoption has changed the global scenarios. In this race emerging economies are also competing with the developed economies. Internet of Things (IoT) is now touching everyones life. Irrespective of this growth and benefits, people from developing nations are still in fix to adopt life changing technology. This study was conducted in Covid-19 times when people were in lockdown and were becoming more dependent on technology. This study tries to understand the factors leading the adoption IoT in emerging economies. A Fuzzy-MCD approach was used to rank the factors resulted from CFA. Results advocated the importance of facilitating conditions to promote the usage and acceptance of technological change followed by IT expertise and Social Influence. Findings provided practical reference for authorities and policy makers involved in designing strategies for technology implementations and promotions.
Keywords: AHP; Emerging Economy; Fuzzy; IoT; MCDA; UTAUT.
Distribution and Transportation Model for COVID-19 Vaccine
by Abhijeet Kumar, M. A. Shariful Amin, Hakan Tarakci, Victor Prybutok
Abstract: The pandemic that began in December 2019 in Wuhan, China has spread worldwide and infected millions of people across the globe. To combat COVID-19 scientists developed vaccines in record time. Without proper vaccine distribution, the country would suffer from low coverage rates and the virus would continue to spread. We are losing over three thousand lives each day to COVID 19, this means a single day of delay in the distribution of vaccine is costing thousands of innocent lives. In this paper we have formulated a distribution model using mixed integer programming (MIP) that maximizes the number of people vaccinated, minimizes the cost of transportation over the entire network while ensuring widespread access.
Keywords: COVID-19; vaccine hub; vaccine supply chain; cost-effective; mixed integer programing (MIP); public health; covid-19 vaccine; distribution model; transportation model.