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International Journal of Enterprise Network Management

International Journal of Enterprise Network Management (IJENM)

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International Journal of Enterprise Network Management (26 papers in press)

Regular Issues

  • Mobile wallet app engagement and word of mouth recommendation: An exploration of antecedents   Order a copy of this article
    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.
    DOI: 10.1504/IJENM.2023.10041700
  • A comparative study of returns contract with no returns contract under monopoly and duopoly settings   Order a copy of this article
    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   Order a copy of this article
    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)   Order a copy of this article
    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.

  • Entrepreneurial Leadership and its impact on Agile Project Management   Order a copy of this article
    by Rajalakshmi Subramaniam, Sanjay Mohapatra, Margaret S 
    Abstract: The study examines the relationship between entrepreneurial leadership and agile project management and the role that innovative atmosphere plays in moderating the relationship with respect to the Small and Medium Enterprises in India, belonging to the Information technology sector. A quantitative approach has been adapted in this research. Random sampling has been employed to collect the primary quantitative data. Closed-ended survey questions were distributed to the SMEs belonging to the information technology sector and data was collected from 317 employees. .The data collected was subject to numerical analysis through structural equation modelling approach using AMOS software. The results reveal that innovative atmosphere positively moderates the relationship between the entrepreneurial leadership factors and the agile management.
    Keywords: : Innovative Atmosphere; Agile Management; Entrepreneurial Leadership; SMEs; Agile Project Management; APM.

  • Opinion Mining of Customers Reviews Using New Jaccard Dissimilarity Kernel Function   Order a copy of this article
    by Santhosh Kumar A, Punniyamoorthy M, Ernest Johnson 
    Abstract: Opinion mining (aka Sentiment mining) a subdivision of Text classification has become traction among researchers in recent decades, due to the popularity of its practical application in real time scenarios like product reviews, politics, movies etc. Various machine learning algorithms are used to identify the document or sentence opinions which are available in social space. SVM is one of the most popular supervised machine learning algorithms and uses kernel function to classify data when the data points are non-linearly separable. In this paper we have proposed a new Kernel function called Jaccard dissimilarity Kernel functions where the distance between the two binary vectors is classified based on principle of Jaccard coefficient. In our study we used this Jaccard Kernel function to classify the opinions of the recent Bollywood movie reviews in to positive and negative.
    Keywords: Opinion mining; Jaccard dissimilarity kernel; custom kernel functions; Movie Reviews; Web mining.

  • Development of Coating Material for Low Carbon Steels using MCDM   Order a copy of this article
    by Resmi V. Prasad, R. Rajesh 
    Abstract: Fluid handling equipment like propellers, impellers, pumps, and pumps in warships and submarines are all vulnerable to flow-based erosion and corrosion. 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 selected on stainless steel substrate using MCDM techniques. Fuzzy analytic hierarchy process (FAHP) is the technique applied to calculate the weights of Criteria and Combinative Distance-Based Assessment Method (CODAS) is utilised for ranking the Alternatives.
    Keywords: Erosion-corrosion; Fuzzy Analytic Hierarchy Process (FAHP); MCDM; CODAS; Weight; AISI 304L SS; Coating material; Substrate.

  • An Emerging Approach towards Intention to Quit among IT Employees   Order a copy of this article
    by Ashish Kumar Biswas, Seethalakshmi R, Prabha Mariappan 
    Abstract: Research on traditional constructs towards intention to quit has been abundant while the impact of Activities in professional networking sites and updating of Profile in job portals in social media is in its infancy stage. The current research attempts to bridge this gap. A quantitative survey approach was used to collect the data (N=598). The structural Equation model is applied to test the hypothesized model. The cross-sectional survey is employed in this research. The findings suggest a frequent update of profile in job portals increases the activities in Professional networking sites which in turn influence towards intention to quit. The study implanted the implications of Activities in Professional networking sites and Profile in job portals towards the identification of hidden behavior of intention to quit among the respondents.
    Keywords: Professional Networking Sites; Job Portals; Intention to Quit; Job Satisfaction; Job Involvement; Organizational Commitment; SEM;.
    DOI: 10.1504/IJENM.2023.10050921
  • Multi-Tier, Firm-Level Analysis of Auto Global Supply Chain: Centrality and Financial Performance   Order a copy of this article
    by Kayvan Lavassani, Bahar Movahedi 
    Abstract: Over the past few years in light of the COVID-19 pandemic, practitioners, academics and policymakers have started pay more attention to the consequences of globally extended supply chains on firms' performance, asset valuations and supply stability. Access to complex data and the advancements in network analytics have enabled researchers and practitioners to explore new horizons of global operations. These advancements have further contributed to the study of global supply chains from a business ecosystem perspective. Within this perspective, organizations can be studied using connected network analytics techniques. The present study explores the supply chain structure of the auto industry across five backward tiers. Based on the study of auto industry global supply chain along five backward tiers, this study explores the effect of firms' position in supply chain structure on the firms' profitability, asset risk, and price volatility. The research methods proposed in this study apply to any industry globally.
    Keywords: Auto industry; multi-tier supply chain; global supply chain network; business ecosystem; supply chain centrality.

  • Multi-objective optimization of Wear process parameters of 413/Fly Ash Composites using Grey Relational Analysis   Order a copy of this article
    by Udaya Prakash J, Jebarose Juliyana S, Rajesh R, Divya Sadhana A 
    Abstract: Composite materials are made by combining the qualities of two or more distinct materials of comparable attributes. Metal matrix composites have emerged as remarkable materials due to their superior characteristics when compared to other matrix composites. The most promising lightweight materials are composed of aluminium alloys, which are utilised in the marine, aerospace, and automotive industries, but their use is limited due to their average strength and moderate wear resistance. In terms of wear resistance, AMCs beat their monolithic counterparts that are unreinforced. Stir casting was used to produce Aluminium Matrix Composites made of 413 aluminium alloy with particulate fly ash reinforcements weighing 3 percent, 6 percent, and 9 percent. Wear tests were conducted in pin-on-disc wear tester following ASTM Standard G99-05 guidelines. The goal is to explore the effects of sliding speed, load, sliding distance, and reinforcing weight percentage on coefficient of friction and specific wear rate using ANOVA and Grey Relational Analysis. Sliding distance (18.48%), Load (17.39%) are the parameters which have extreme significance on composites GRG followed by sliding speed (10.33%) and reinforcement (4.35%). By using Grey Relational Analysis, wear behaviour can be predicted successfully.
    Keywords: Composites; Wear; Grey Relational Analysis; Design of Experiments; ANOVA.

  • Fashion Market Segmentation using Facebook: An Empirical Approach   Order a copy of this article
    by Sanjay Mohapatra, Satya Banerjee 
    Abstract: The purpose of this paper is to segment the Indian Facebook users into Fashion consumer segments based on their behavior and activities (like, post, share etc.) exhibited on Facebook and establish a relationship with their Fashion shopping behavior. An online survey was conducted in which 158 users participated. The respondents belong to different states in India within an age group between 16-50 years and are active users of Facebook. Fashion Consumer Market segments were thus, obtained and their characteristics have been defined, subsequently. Three Cluster of Facebook users are formed. Each of these clusters displays a set of characteristics and properties. The results give a clear idea about the consumer segments, which lie, on social media such as Facebook.
    Keywords: Social Media; Facebook; Market Segmentation; Cluster Analysis; Hierarchical Clustering; K-means Clustering.

  • Supplier selection and evaluation using Alteryx tool AHP in gear manufacturing industry   Order a copy of this article
    by Balamurugan Ramasamy, Arun R, Arunkumar N, Ganesan R 
    Abstract: One of the most important problems for many firms is the decision-making process in supplier selection. The most inclusive process in the decision-making process is the analytical hierarchy process. This study gives instructions for setting supplier selection criteria for university procurement department purchasing activities. The decision-making method of the AHP is based on a multi-criteria examination of cost, flexibility, quality, delivery, and polish or machining property. This work provides clarity in the classification of supplier attributes that have been emphasised in the model business. It gives an idea about the AHP and also how to select the supplier using with necessary criteria. The data collection is done in the gear manufacturing industry. Totally 20 suppliers were considered for our evaluation. Out of 20 suppliers, three suppliers got the highest priority rank of 96.9% among all suppliers by considering various factors such as price, quality, on-time delivery, etc.
    Keywords: supplier selection and evaluation; supplier ranking; analytic hierarchy process; AHP; Alteryx tool.
    DOI: 10.1504/IJENM.2024.10052444
  • Financial Inclusion on Women Entrepreneurs-Review   Order a copy of this article
    by Vosuri Sandhyarani, N. Sundaram 
    Abstract: A nation’s development depends on women’s growth in society Women were previously given increasing responsibilities but without recognition. The development of women’s empowerment started 100 years ago, which is still a question for many women, whereas many started to place their feet in full swing on many platforms. Women manage and adapt themselves by working as housewives, employees, and employers, and eventually as promising entrepreneurs. Women’s economic empowerment leads to the country’s economic boom. Especially in India, we have half of the population is female. Therefore, the development and involvement in the industry play a significant role in the Indian economy. The main roadblocks for female entrepreneurs there are numerous. Managing financial investments is one of them. Here we discuss the financial inclusion of women entrepreneurs and the improvement of women as entrepreneurs. This review will also provide adequate knowledge about financial inclusion for women to build up their businesses.
    Keywords: empowerment; women entrepreneurs; financial inclusion; education; economy; scheme for women MSMEs.
    DOI: 10.1504/IJENM.2024.10052493
  • Promotion of Entrepreneurship through Accessibility of Formal Micro Credit in Emerging Countries   Order a copy of this article
    by Vosuri Sandhyarani, N. Sundaram 
    Abstract: Entrepreneurship is an economic phenomenon that makes unemployed people self-employed in society. Microfinance is the practice of providing small amounts of essential financial services to the unbanked or impoverished population in a nation, such as credit, deposits, and insurance, and is a growth-driving factor of entrepreneurship in the economy. The present study is aimed at an analysis of India’s largest formal microcredit scheme, which accounts for one fourth of the nation’s population, namely the Pradana Mantry Mudra Yojana for the period of 2015
    Keywords: micro credit; entrepreneurship; PMMY; MUDRA; formal micro credit.
    DOI: 10.1504/IJENM.2024.10052602
  • Hybrid sparse and block-based compressive sensing algorithm for industry based applications   Order a copy of this article
    by Sekar R, Manikanda Devaraja N, Ravi G, Rajasekaran B, Chidambaram S 
    Abstract: Image reconstructions are a challenging task in MRI images. The performance of the MRI image can be measure by following parameters like mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM). Compromising the above parameters and reconstructing the MRI image leads to false diagnosing. To avoid the false diagnosis, we have combined sparse based compressive sensing and block-based compressive sensing algorithm, and we introduced the hybrid sparse and block-based compressive sensing algorithm (HSBCS). In compressive stage, however, image reconstruction performance is decreased, hence, in the image reconstruction module, we have introduced convex relaxation algorithm. This proposed algorithm is obtained by relaxing some of the constraints of the original problem and meanwhile extending the objective function to the larger space. The performance is compared with the existing algorithm, block-based compressive sensing algorithm (BCS), BCS based on discrete wavelet transform (DWT), and sparse based compress-sensing algorithm (SCS). The experimentation is carried out using BRATS dataset, and the performance of image compression HSBCS evaluated based on SSIM, and PSNR, which attained 56.19 dB, and 0.9812.
    Keywords: MRI image; block compressive sensing; sparse compressive sensing; image reconstruction.
    DOI: 10.1504/IJENM.2024.10052992
  • Effectiveness of Digital Forensic Investigation through Excavation Methods of Various Linux Based Tools   Order a copy of this article
    by Bhraguram TM, Rajakumar PS, Arshia Arjumand Banu 
    Abstract: Digital forensic is a process of pre-processing, identification, modelling, extraction, and documentation of computer evidence. The forensic investigations in today’s human life are more important due to the high-level cyber crime activities and other proof less investigations happening under various public and private domains. The computer world updates various method to do the investigation activities and most of the methods are working based on the existing activity monitoring and proof-based content available for the processing. Various computer platforms give many procedures to continue the investigation process, but the effectiveness and accuracy is completely depending on the tools and data proof used while processing the data. Linux is one of the most eligible and rich tools providing platform with various proofreading mechanisms. We are trying to furnish the most effective methods used for digital forensic investigations in Linux platform which are proved with high level of accuracy and integrity. This article can provide various mechanism used in the tools and its effectiveness through an excavation method.
    Keywords: digital forensic; cyber crime; excavation method; Linux platform; platform based.
    DOI: 10.1504/IJENM.2024.10053188
  • Edge Controller Based Deep Learning
    by Shermin Shamsudheen, Anne Anoop, Anjali Appukuttan, Praveetha Gopinathan 
    Abstract: The emergence of the 5G portable network has brought plenty of advantages. Notwithstanding, it provoked new difficulties in the 5G organisation’s online protection guard framework, resource management, energy, and reserve, along these lines making the current methodologies out of date to handle the new difficulties. This paper brings an effective edge-based DL model for a 5G cellular network. It gives insights about cloud controller managing RAN for transferring data from user devices to the core network, for example, network strength, security capacities, and network versatility. The proposed engineering comprises four unique layers recognised as network orchestration layer, RAN controllers layer, distributed units layer, and service layer. It uses a DCNN-based model and also further converges with feed-forward organisations to learn the effect of organisation designs and other outside factors. To enhance the safety features of the proposed model, we have used AES methods besides DCNN on the edge. Experimental studies state that while evaluating our DL incorporated model with other techniques, the proposed model outperforms under measures like accuracy, memory utilisation, sensitivity, etc.
    Keywords: edge; 5G; cellular network; deep learning; DL; controller.

  • Role of supply chain resilience capacity in Chinese auto business relationships during disruption.   Order a copy of this article
    by Balakrishnan AS, Jayshree Suresh, Harindranath R.M. 
    Abstract: To empirically examine the supply chain resilience capacity (SCRC) practices that emerged in Chinese automotive business relationships during disruption and to measure the impact of the business relationships on the firms business performance and long-term B2B relationships. On the basis of literature review an integrated framework was developed. Using questionnaire survey, 202 Chinese automotive practitioners responded the existing relationships. As per the findings, SCRC recovery during disruption situation exhibited the following effects: a) Promising and dark-side of relationships have curvilinear effect or U-shaped relation with business performance and long-term B2B relationships, b) direct effect of SCRC interdependencies with business performance and long-term B2B relationships, c) SCRC interdependencies positively moderate the non-linear relationship between both the promising and dark-side of business relationships with business performance, and only dark-side of non-linear relationships with long-term B2B relations, and d) SCRC interdependencies doesnt moderate the promising side of non-linear relationships with long-term B2B relations.
    Keywords: B2B relationships; disruption; supply chain resilience capacity; Chinese automotive business; business performance.

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   Order a copy of this article
    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.

    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   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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.

    by Amit Agrawal, Vanchan Tripathi, Pravin Bhoyar 
    Abstract: The objective of this paper is to study the motivators of entrepreneurial aspiration of university students in Indian scenario. Based on the literature review and followed by expert survey twelve (12) motivators are identified. This study adopted Interpretive Structural Modelling (ISM) technique to assess the interrelationship among the various motivators of entrepreneurial aspirations in the context of university students in India. The present study suggests that strong self-efficacy, need for achievement and entrepreneurship education are the prime motivators of entrepreneurial aspiration among university students in India. On the other hand, high motivation, propensity to create new business, entrepreneurship funding and entrepreneur identity creation are the dependent motivators and enjoy high dependence and weak driving power. This study provides useful insights to policy makers and universities on ways to focus on variables which are deemed critical for developing entrepreneurial aspirations among students.
    Keywords: Entrepreneurial aspirations; Interpretive Structural Modeling; Students; University; India.

  • Digital payment Apps: Perception and Adoption A Study of Higher Education Students   Order a copy of this article
    by Amit Arora, Ankit Panchal, Vijay Gupta, Dhruv Sharma 
    Abstract: With the advancement in technology and digitalization, they provide a pathway for the adoption of digital payment. The study aimed to determine the awareness, perception, and role of demonetization regarding the adoption of digital payment apps. The study collected the primary data through a structured questionnaire from 396 UG and PG students in the Ghaziabad district. The study found no significant difference between the expected and actual benefits of digital payment apps. Qualification and gender were found to be significant factors for the adoption of digital payment apps. Convenient, time-saving, and no need to carry cash are the main factors for adopting and using the Digital Payment App. Lack of trust, the risk associated with it, and unavailability of technical equipment are the reasons found by the study for not using digital payment apps. The study suggests ways for companies to build the trust of their customers to adopt digital payment apps.
    Keywords: Digital Payment; Demonetization; Online transactions; Digital Apps.

  • Role of Supply Chain Performance in Global Value Chain Creation in Covid 19: A Partial Least Square Modelling Framework for Emerging Economy   Order a copy of this article
    by SAHIL GUPTA, Geeti Shamra, Aastha Sawhney 
    Abstract: With the current times of high uncertainty specially in New Normal era, organisations are putting their best foot forward to retain their existing market share as well as capture new territories. Among all, Supply chain performance is playing a critical role and is becoming a key component in creating additional value to the organization specially in current era of gloablisation. This study aims to understand the role of Supply chain performance on Global value creation, where leading e-commerce sites were considered on the basis of Supply chain performance. The Partial Least Square Structural Modeling was used to test proposed as framework. Factors like Supply Chain Flexibility, Risk Management Capabilities, Customer Relationship Management emerged to be most important and crucial ones. Further studies can be conducted involving various sectors by considering the different state of affair of particular times.
    Keywords: Supply Chain Flexibility; Risk Management Capabilities; Customer Relationship Management; Social Sustainability Orientation; Supply Chain Performance; Global Supply Chain Value Creation.