Vinod Kumar
@sibm.edu
Associate Professor
Symbiosis Institute of Business Management (SIBM), Symbiosis International University, Pune, Maharashtra (India)
RESEARCH INTERESTS
Digital Marketing
Sustainability Marketing
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Uthayasankar Sivarajah, Sachin Kumar, Vinod Kumar, Sheshadri Chatterjee, and Jing Li
Elsevier BV
Sachin Kumar, Bhagwan Singh, Vinod Kumar, Ranjan Chaudhuri, Sheshadri Chatterjee, and Demetris Vrontis
Emerald
PurposeThe present study intends to discover and analyze the determinants of users' intention to use (ITU) drone-based online food delivery (OFD) services. The study mainly focuses on the drone-based food delivery system in India and its implications.Design/methodology/approachThis study has used the purposive sampling method. With the support of the technology acceptance model (TAM) and the theory of planned behavior (TPB), a theoretical model was developed conceptually. Later, the model was validated using the partial least square-structure equation modeling (PLS-SEM) technique with consideration of 324 responses mainly from university students in Delhi- National Capital Region (NCR).FindingsThe findings reveal that all the determinants are positively and significantly related to ITU, except for perceived behavioral control that does not influence the consumer’s ITU drone-based OFD services. The study also shows that how food delivery system through drone can revolutionize the entire food delivery system in India.Research limitations/implicationsThe present study has developed a unique model that can be used by practitioners, future researchers in this field and policymakers in government departments. The present study is limited to Delhi-NCR in India, and thus, there is an issue of generalizability in the present study.Practical implicationsThis study has examined the future of food delivery system through drone-based system. Thus, the leaders in the food industry will be better positioned to understand consumers' intentions to use OFD services using drones and be able to make more informed decisions about investment in drone technology in their respective organizations.Originality/valueThe present study has combined both the technology adoption model and the TPB and developed a theoretical model. The study enriches the literature on drone-based OFD services. Since users' acceptance of OFD services using drones is an under-researched area, the present study will make a meaningful contribution to bring the body of literature in this domain.
Vibhav Singh, Niraj Kumar Vishvakarma, and Vinod Kumar
Informa UK Limited
Jayati Singh, Rupesh Kumar, Vinod Kumar, and Sheshadri Chatterjee
Emerald
PurposeThe main aim of this study is to identify and prioritize the factors that influence the adoption of big data analytics (BDA) within the supply chain (SC) of the food industry in India.Design/methodology/approachThe study is carried out in two distinct phases. In the first phase, barriers hindering BDA adoption in the Indian food industry are identified. Subsequently, the second phase rates/prioritizes these barriers using multicriteria methodologies such as the “analytical hierarchical process” (AHP) and the “fuzzy analytical hierarchical process” (FAHP). Fifteen barriers have been identified, collectively influencing the BDA adoption in the SC of the Indian food industry.FindingsThe findings suggest that the lack of data security, availability of skilled IT professionals, and uncertainty about return on investments (ROI) are the top three apprehensions of the consultants and managers regarding the BDA adoption in the Indian food industry SC.Research limitations/implicationsThis research has identified several reasons for the adoption of bigdata analytics in the supply chain management of foods in India. This study has also highlighted that big data analytics applications need specific skillsets, and there is a shortage of critical skills in this industry. Therefore, the technical skills of the employees need to be enhanced by their organizations. Also, utilizing similar services offered by other external agencies could help organizations potentially save time and resources for their in-house teams with a faster turnaround.Originality/valueThe present study will provide vital information to companies regarding roadblocks in BDA adoption in the Indian food industry SC and motivate academicians to explore this area further.
Vibhav Singh, Niraj Kumar Vishvakarma, Hoshiar Mal, and Vinod Kumar
Emerald
Purpose E-commerce companies use different types of dark patterns to manipulate choices and earn higher revenues. This study aims to evaluate and prioritize dark patterns used by e-commerce companies to determine which dark patterns are the most profitable and risky. Design/methodology/approach The analytic hierarchy process (AHP) prioritizes the observed categories of dark patterns based on the literature. Several corporate and academic specialists were consulted to create a comparison matrix to assess the elements of the detected dark pattern types. Findings Economic indicators are the most significant aspect of every business. Consequently, many companies use manipulative methods such as dark patterns to boost their revenue. The study revealed that the revenue generated by the types of dark patterns varies greatly. It was found that exigency, social proof, forced action and sneaking generate the highest revenues, whereas obstruction and misdirection create only marginal revenues for an e-commerce company. Research limitations/implications The limitation of the AHP study is that the rating scale used in the analysis is conceptual. Consequentially, pairwise comparisons may induce bias in the results. Practical implications This paper suggests methodical and operational techniques to choose the priority of dark patterns to drive profits with minimum tradeoffs. The dark pattern ranking technique might be carried out by companies once a year to understand the implications of any new dark patterns used. Originality/value The advantages of understanding the trade-offs of implementing dark patterns are massive. E-commerce companies can optimize their spent time and resources by implementing the most beneficial dark patterns and avoiding the ones that drive marginal profits and annoy consumers.
Vandana, Ruchi Jain Garg, Vinod Kumar, and Alok Kumar Singh
Emerald
PurposePresent research analyzes and evaluates the impact of e-resources usage factors (training modes, awareness, influencers, utilitarian benefits and ease of use) towards satisfaction and intention to use these e-resources.Design/methodology/approachThe data for present study were collected from postgraduate students of Delhi (India) and 248 valid responses were received through the survey. After reliability and validity tests, structural relationships between variables were studied.FindingsThe present study revealed that all five factors significantly affected satisfaction and intention to use e-resources. However, influencers were found to have the highest impact on satisfaction and intention to use e-resources.Originality/valueThe present study is a maiden attempt to explore the impact of e-resources usage factors on satisfaction and intention to use by postgraduate students at management schools in Delhi, India.
Vinod Kumar and Vandana
IEEE
Present study analyses the social mentions with regard to ChatGPT on different websites. For this purpose, the analysis has been performed with the help of Brand24®, which is a social media analysis tool. The results of Sentiment analysis have been performed through Netnographic analysis and presented in the form of volume of social mentions, types of sources, contexts of discussion, most active sites, most influential sites, trending hashtags and lastly the numerical summary of social sentiments have been presented. In addition, Details like gender distribution, age distribution top countries using ChatGPT, and interest of audience has also been presented with the help of SimilarWeb. SimilarWeb is an online tool which provides performance of website. The current investigation holds numerous implications for companies like Openai, marketers, and society at large. Uniqueness of the study lies in the selection of topic for sentiment analysis. As far as the knowledge of researcher is concerned, none of the study have explored and explained the sentiment analysis of AI based website, which is the motivation behind selection of this topic for performing Netnographic analysis of social sentiments.
Mudit Gera, Dharminder Kumar Batra, and Vinod Kumar
Emerald
Purpose This paper aims to understand the scholarly contributions to mobile advertising by analyzing the publishing trend from 2001 to 2022 from the documents indexed in the Scopus database. Design/methodology/approach A total of 348 documents were selected for analysis published between 2001 and 2022. The garnered data was examined using a bibliometric domain mapping analysis technique using computer-aided software R and VOSviewer and manually exploring the articles. Findings The results of this study discover the most prolific authors in the mobile advertising domain and other seminal works carried out by productive researchers in the field of mobile advertising. The journals in which most instrumental research studies have been published are also identified. Moreover, the co-citation, bibliometric coupling and co-occurrence analysis of literature are also carried out to draw themes concerning mobile advertising research that have been identified and categorized. Research limitations/implications This research analyzed a singular, exclusive database, “Scopus,” which limited the sectoral scope of publications. Since the present research uses bibliometric analysis, these studies cannot conduct sentiment analysis of the chosen studies. Practical implications Marketing professionals looking after technological advancements may use this study to understand the broad scope of mobile advertising applicability across diverse domains and discuss the trade-offs that may address significant bottlenecks in mobile advertising applications. Originality/value To the best of the authors’ knowledge, this paper is one of the latest attempts in recent times to understand the research work in mobile advertising using a bibliometric domain analysis approach.
Anil Khurana, Vv Ravikumar, and Vinod Kumar
IEEE
The increasing application of Artificial Intelligence usage in health care and medicine has attracted considerable research interest in the recent past. The objective of this paper was to provide a scientometric analysis of artificial intelligence in the healthcare sector. The momentum gained by artificial intelligence and information technology gave impetus and importance to health care. The researchers used the Scopus database to extract the papers. VosViewer tool was employed for advanced analysis, whereas Microsoft Excel was used in depicting graphical representation. The study summarises the research conducted by different authors, various universities and countries to extend the benefits of artificial intelligence to healthcare. This paper would be of some help to practitioners and researchers in the healthcare sector to know more about AI in healthcare.
Vinod Kumar, Vandana, and Moulik Wason
SAGE Publications
On 7 January 2018, Patanjali Ayurved Limited (PAL) published a print advertisement (ad) mentioning dark complexion as a skin ailment. This ad caught the eye of the young generation of India who is intolerant towards any kind of discrimination. People started giving their opinion about this ad and the issue was picked on social media channels such as Twitter, online blogs, news sites, etc. Users of social media clearly expressed their unacceptance towards the content of the ad. PAL tried to pacify the crowd by sending their spokesperson’s reply on Twitter. Seeing the continuous negative response, Baba Ramdev, co-founder and brand ambassador of PAL, responded on the next day in order to bring the situation under control. In such a scenario, PAL is analysing the entire incident and planning to revisit its marketing communication strategy. PAL is thinking not only to avoid such a situation but also to devise a better crisis management strategy for the future.
Ruchi Jain Garg, Vandana, and Vinod Kumar
IGI Global
The present study aims to identify and prioritize the components of customer experience in online environment. The study employs Pareto analysis and interpretive structural modeling (ISM) to accomplish above-mentioned objective. Firstly, 36 components have been derived from extensively reviewed literature, and out of them, 15 were finalized as vital few variables having 80% influence in creating customer experience in online environment. To assess the impact of these 15 components, one outcome component ‘Customer Experience (Flow)' has been added. So, an ISM technique is applied on a total of 16 components of customer experience in online environment. The aim of this technique is to highlight the interrelationships among the components and to prioritize them. Further, the findings are strengthened by using MICMAC analysis. Results revealed that time distortion, skill, focused attention, interactivity, playfulness, start web, and involvement are found to have weak dependence powers but with strong driving powers. However, control, challenge, arousal, telepresence, flow, positive affect, and exploratory behavior were found to possess weak driving power and strong dependence power. The results of the present study carry implications for academicians and marketers handling online experience of their customers.
Vinod Kumar, Vandana, Praveen Goyal, and Divesh Kumar
IGI Global
The purpose of this article is to engage student community to celebrate Green Diwali. The present study makes use of various engaging activities to generate awareness about the celebrating Diwali in unsustainable manner. The effectiveness of the activities was also measured through a questionnaire-based survey. The article provides an excellent example of educating and promoting sustainable development through celebration of Green Diwali. This study will encourage other institutions in the country to promoting sustainable development activities and take the initiatives like that of Green Diwali.
Rahul Dhiman, Vinod Kumar, and Sudhir Rana
Emerald
Purpose This study aims to examine whether export competitiveness (EC) in the two groups of the Indian textile industry i.e. “textiles” and “textile products” group differ. Design/methodology/approach The study examines how exchange rate (ER), real effective exchange rate (REER) and EC of both the groups are related in the long run over the period 1991-1992 to 2018-2019 using Granger causality test and Johansen and Juselius co-integration test. Findings The study confirms that EC is a challenge that needs to be addressed to sustain in the international market, as the volatile trend can be found for EC in both groups. The econometric framework shedding light on both groups of the textile industry suggest that select determinants have different relationships with the EC for two groups. The findings of the Granger causality test reveal that the presence of unidirectional causality running from ER to EC in the case of both the groups. Also, the select variables are found to be co-integrated in the long run. However, in the case of REER, no causality is found running from REER to EC. Originality/value ER is a vital determinant of EC and exporters can sustain competitiveness in global markets by reducing their profit mark-up in the face of an appreciating currency.
Praveen Goyal, Divesh Kumar, and Vinod Kumar
Creative Decisions Foundation
Multi-Criteria Decision Analysis is a decision-making technique that is used by practitioners and frequently discussed and applied by researchers. This present study attempts to review the literature of applications of MCDA techniques in the area of sustainability using citation analysis. For the data collection, the Scopus database was used. With the help of related keywords, 701 research papers were identified and found suitable for analysis. These papers were then analyzed based on country, author, citation, year, and other criteria to demonstrate the pattern of research applying MCDA in sustainability. The CiteSpace tool was also used to present the clusters, citation analysis, and keywords as bursts. The findings of the present study will help future researchers better explore the field.
Divesh Kumar, Praveen Goyal, and Vinod Kumar
Emerald
PurposeThe purpose of this paper is to study corporate social responsibility (CSR) enablers, with special reference to Indian firms. Further, the CSR enablers have been identified and their ranking obtained, and interactions and interrelationships among the different enablers have also been studied.Design/methodology/approachThe interpretive structural modeling (ISM) approach was used to evaluate the interactions among the various enablers of CSR implementation, from the perspective of Indian companies.FindingsIn the course of this paper, based on a detailed literature review, nine enablers were identified and after seeking expert opinion, eight CSR implementation enablers were shortlisted. The present study has identified that top management commitment, organizational culture and formal strategic planning are the main enablers of CSR implementation in Indian companies, whereas corporate reputation, better financial performance and customer satisfaction are the dependent enablers that have high dependence power but weak driving power.Originality/valueThe ISM-based model of CSR enablers presented in this paper will prove to be of interest to academicians and practitioners alike. While academicians will gain a better understanding of enablers of CSR implementation from the perspective of one of the fastest growing economies of the world, practitioners will gain a better understanding of CSR enablers, and their enhanced knowledge will help them to effectively implement CSR in their organizations.
Divesh Kumar, Praveen Goyal, and Kumar Vinod
Editura Universitatii Alexandru Ioan Cuza din Iasi
The present study identifies and prioritizes the barriers pertaining to implementation of corporate social responsibility (CSR) policies in Indian service industries. The 10 most important barriers related to CSR implementation have been first identified and then evaluated for the ranking process using Fuzzy Analytical Hierarchy Process (AHP) based methodology. The outcome of the study clearly presents that lack of top management commitment, lack of significant benefit of CSR, and financial constraints are the most important barriers in effective implementation of sustainable CSR initiatives among organizations belonging to the Indian service industry. These results may be used by decision makers to understand and these barriers, and identify critical success factors for the CSR process, which will help them to ensure that CSR is effectively implemented in their respective organizations.
Monika Sheoran, Divesh Kumar, Vinod Kumar, and Deepak Verma
Emerald
Purpose The purpose of this paper is to understand the scholarly contributions to the field of marketing by analyzing top ten journals of marketing. Design/methodology/approach The marketing journals were selected using SciMago marketing journal list, and SCOPUS database was used to identify the publications of the journals. A total of 9,190 articles were analyzed having 562,322 citation references. Methodologies like Wordle and Gephi were used to understand the most researched keywords and co-citation analysis among top five researchers. This paper also captured the information on most cited article along with author, most published author, most publishing country, most publishing university, the year with maximum publications and most used keywords. Findings The analysis indicates that “Kumar, V.” is most published author, that is, 68 publications, the most cited article is “On the evaluation of structural equation models” by Bagozzi and Yi (1988) with 6989 citations. The USA contributed the highest 6,720 publications, while University of Pennsylvania, Wharton School topped the list with 235 articles. In 2009, highest publication work was done by publishing 382 articles. “Game theory”, “Pricing” and “Advertising” are most used keywords which have been discussed in the literature. Research limitations/implications This analysis will help researchers in understanding the growth in the field of the marketing in recent years and possible direction it could take in future. However, this paper considered only top ten marketing journals as listed in SciMago marketing journal list; therefore, future researchers may incorporate more research journals to get a clearer picture of the field of marketing. Originality/value This paper is one of the first attempts in recent time to understand the research work in the field of marketing considering top ten journals.
Vinod Kumar, Vandana Vandana, and D.K. Batra
Emerald
Purpose This paper aims to investigate the usage pattern of electronic resources (e-resources) among management graduates. The respondents were asked about the types of e-resources they used, who their influencers were, their preferred place for surfing, the frequency of use, purpose for which they used e-resources, its benefits and the problems they faced while using e-resources. The findings of the study will help in enhancing the usage of e-resources among students who opt for management courses. Design/methodology/approach This descriptive research was conducted in Nagpur, Maharashtra (India). Data collected from 150 management students through purposive sampling were analyzed through descriptive statistics, and the responses were presented in tabular form. Findings The investigation reveals that students are well aware of e-resources and consider them to be very useful for their academic performance. Interestingly, students are found to be using non-paid resources more than paid ones because of a lack of search skills. Discipline-wise investigation reveals that students from the disciplines of information technology, economics and finance use e-resources more frequently than those studying subjects like marketing, operations and human resource management. Faculty and training have emerged as strong influencers that have persuaded students to use e-resources. Research limitations/implications The present study is limited to students studying management courses in Nagpur, Maharashtra (India). Originality/value This research will help institutions, librarians and publishers in gaining insight on the utilization patterns of e-resources. The uniqueness of this study lies in the fact that it has analyzed and presented the responses of management students belonging to different disciplines in management studies such as, marketing, finance, human resource management operations, economics and information technology regarding their usage patterns of e-resources.
Nikunj Kumar Jain, Shampy Kamboj, Vinod Kumar, and Zillur Rahman
Emerald
Purpose The purpose of this paper is to examine how consumer-brand relationships affect brand loyalty and word of mouth when mediated by brand trust considering online brand communities on social media platforms. Design/methodology/approach A conceptual model is developed, depicting the impact of customer-brand relationships on brand loyalty and word of mouth via brand trust. The conceptual model is validated using partial least squares structural equation modeling and data for which are collected online through a structured questionnaire from a sample of 131 brand community members in North Capital Region of India. Findings Findings of the present study revealed that brand trust partially mediated between the involvement and commitment variables of customer-brand relationships, and brand loyalty and word of mouth. However, the link between satisfaction variable of customer-brand relationships, and brand loyalty and word of mouth via brand trust was found insignificant. Originality/value The present study provides novel insight to understand consumer-brand relationships on social media platforms.
N.A. Vandana and Vinod Kumar
Inderscience Publishers