Vimal Kumar
@cyut.edu.tw
Assistant Professor and Department of Information Management
chaoyang university of technology
Vimal Kumar is an Assistant Professor at Chaoyang University of Technology, Taichung, Taiwan (R.O.C.) in the Department of Information Management. He completed his Postdoctoral Research at Chaoyang University of Technology, Taichung, Taiwan (R.O.C.) in the Department of Business Administration in the domain of Technological Innovation and Patent Analysis. He has served as an Assistant Professor under TEQIP III, an initiative of MHRD, Govt. of India at AEC Guwahati in the Department of Industrial and Production Engineering. Prior to joining AEC, he served as Assistant Professor at MANIT, Bhopal in the Department of Management Studies and also served as Visiting Faculty at IMT Nagpur. He obtained his PhD in the domain of TQM and Manufacturing Strategy in the year 2017 and Masters in Supply Chain Management from the Department of Industrial & Management Engineering, IIT Kanpur in the year 2012. He graduated (B.Tech) in Manufacturing Technology from JSS Academy of Technical Education Noida
EDUCATION
PhD from IIT Kanpur
RESEARCH INTERESTS
Total Quality Management, Supply Chain Management, Industry 4.0, Sustainability
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Atul Kumar Singh and V.R.Prasath Kumar
Emerald
PurposeImplementing blockchain in sustainable development goals (SDGs) and environmental, social and governance (ESG)-aligned infrastructure development involves intricate strategic factors. Despite technological advancements, a significant research gap persists, particularly in emerging economies. This study aims to address the challenges related to SDGs and ESG objectives during infrastructure delivery remain problematic, identifying and evaluating critical strategic factors for successful blockchain implementation.Design/methodology/approachThis study employs a three-stage methodology. Initially, 13 strategic factors are identified through a literature review and validated by conducting semi-structured interviews with six experts. In the second stage, the data were collected from nine additional experts. In the final stage, the collected data undergoes analysis using interpretive structural modeling (ISM)–cross-impact matrix multiplication applied to classification (MICMAC), aiming to identify and evaluate the independent and dependent powers of strategic factors driving blockchain implementation in infrastructure development for SDGs and ESG objectives.FindingsThe study’s findings highlight three significant independent factors crucial for successfully integrating blockchain technology (BT) into infrastructure development for SDGs and ESG goals: data security (F4), identity management (F8) and supply chain management (F7). The study unravels these factors, hierarchical relationships and dependencies by applying the MICMAC and ISM techniques, emphasizing their interconnectedness.Originality/valueThis study highlights critical strategic factors for successful blockchain integration in SDG and ESG-aligned infrastructure development, offering insights for policymakers and practitioners while emphasizing the importance of training and infrastructure support in advancing sustainable practices.
Abishek Rauniyar, Atul Kumar Singh, Ahmed Farouk Kineber, Sathvik Sharath Chandra, Bankole Awuzie, V.R. Prasath Kumar, L. Krishnaraj, Ali Al-Otaibi, Aasem Alabdullatief, and Sultan Alfraidi
Elsevier BV
Bhawana Rathore, Vimal Kumar, Rohit Gupta, Pratima Verma, Surajit Bag, and Konstantinos P. Tagarakis
Elsevier BV
Rohit Raj, Arpit Singh, Vimal Kumar, Tanmoy De, and Shalini Singh
Elsevier BV
Vimal Kumar, Rohit Raj, Pratima Verma, Jose Arturo Garza-Reyes, and Bhavin Shah
Springer Science and Business Media LLC
AbstractThe inopportune organization of spice supply chains (SSCs) results in aided risks, resource wastages, and sustainability issues. Nevertheless, practitioners and academicians alike must investigate spice supply chain management (SSCM) in terms of long-term sustainability. This study draws on the available literature to compile a collection of characteristics and maintain sustainable spice supply chain management techniques which come up with associated risks and relevant obstacles. Existing studies claim that due to a lack of resources, the associated risks are the root of poor SSCM performance. As a result, the goal of this study is to identify the primary risk variables using qualitative data; nevertheless, the attributes must be converted into a scale that is comparable. The fuzzy Delphi method (FDM) was used to obtain valid and reliable attributes from qualitative data, while the fuzzy decision-making trial and evaluation laboratory (FDEMATEL) was used to address uncertainty and interrelationships simultaneously. FDM results suggest that there are eighteen critical risk variables and seven risks threatening effective SSCM. FDEMATEL results reveal qualitative data translated into crisp, comparable values in order to investigate causal linkages between variables and confirm the compatibility of the theoretical structure with industry realities. The findings show fluctuation in the Price (C8), diseases and pests (C20), human contamination (C23), spice adulteration (C24), and loss of food quality, and quantity (C36) are all important risks and sub-risks in these causative interrelationships. The primary risks involved in enhancing SCM include Financial Risk (A5), Ergonomic Risk (A8), and Operation and Management Risk (A10). The study recommends that industry professionals use future marketing tools to protect themselves from price changes which allow them to assess supply and demand circumstances and manage price risks over distance and time. Spices are the key contributors to earning a sizable amount of foreign currency through export in a developing country. It suggests to policymakers, regulatory organizations, and practitioners to develop regulations, raise farmer understanding about pest control, impose stiff penalties on vendors and businesses proven to be involved in spice adulteration, and develop a sustainable fertilizer distribution system. These corresponding action plans for improving the SSC sector and comparing it with agro-food and short-supply chains are investigated. This study contributes to theory by utilizing FDM and FDEMATEL methods for addressing the uncertainty and interrelationship among associated risks that hinder SCM from attaining sustainability.
Kuei-Kuei Lai, Yu-Hsin Chang, Vimal Kumar, Tsai-Yung Wei, Ali Al Owad, and Sumanjeet Singh
Elsevier BV
Minakshi Paliwal, Rohit Raj, Vimal Kumar, Sumanjeet Singh, Nagendra Kumar Sharma, Alka Suri, and Manisha Kumari
IOS Press
BACKGROUND: With greater uncertainties and economic divides in Indian formal and Informal economies; the lockdown in its unprecedented ways severely knocked the crucial vulnerabilities of majorly the informal sector of the economy. METHODS: The study was conducted across the Indian population who have suffered from the bad impact of COVID-19 and the lockdown. The data collection process was conducted during the COVID-19 outbreak from June 2020 to October 2020. Multiple regression analysis and independent-sample t-test were applied to test the hypothesis. RESULTS: The study closely highlights the role of the government system towards non-government organizations those who played a crucial role in the welfare of the informal workers. The results suggest that the most affected group of people in the COVID-19 lockdown are the informal workers who were working on daily wages for their bread and butter. The government endeavor was also found significant in supporting the informal workers.
Arpit Singh, Vimal Kumar, Ankesh Mittal, and Pratima Verma
Emerald
Purpose This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result. Design/methodology/approach Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry. Findings The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively. Research limitations/implications Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy. Originality/value The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.
Ankesh Mittal, Vimal Kumar, Pratima Verma, and Arpit Singh
Emerald
PurposeThe study aims to identify organizational variables of quality 4.0 for an Indian manufacturing company in the case of digital transformation. Furthermore, the organization enhances its quality 4.0 performances to its success based on the degree of relevance of these variables, insight into these variables and sub-factors to prioritize them.Design/methodology/approachInitially, two rounds of the survey were conducted with 11 decision-makers from the company made to receive organizational variables scores and prioritize the factors and sub-factors. Analytic Hierarchy Process (AHP) based research methodology has been proposed to assign the criterion weights and prioritize the identified variables.FindingsThe results of this AHP model demonstrate that “Committed Leadership” is recognized as the top positioned variable and most significant organizational variable, followed by Collaboration and Quality culture, which are developed at the next level. These essential organizational variables with their sub-categories' priorities are identified as contributing attributes.Research limitations/implicationsThe findings facilitate quality 4.0 in the digitalization era, which take into contemplating the current state of the business. Furthermore, the understanding of variables provides insightful guidance to analyze, solve complex problems and assess the efficacy of quality 4.0 in digital transformation.Originality/valueThe novelty of this study is to pinpoint, and evaluate the responsible organizational variables and prioritize them that lead to high productivity and competitive advantage considering the AHP method.
Rohit Raj, Vimal Kumar, Gulin Idil Bolat, and Tugrul Daim
Informa UK Limited
Punam Singh, Binod Kumar Rajak, Vimal Kumar, and Pratima Verma
Inderscience Publishers
Deepak Kumar Pathak, Ajay Verma, and Vimal Kumar
Inderscience Publishers
Vimal Kumar, Priyanka Verma, Ankesh Mittal, Pradeep Gupta, Rohit Raj, and Mahender Singh Kaswan
Emerald
PurposeThe aim of this study is to investigate and clarify how the triple helix actors can effectively implement the concepts of Kaizen to navigate and overcome the complex obstacles brought on by the global COVID-19 pandemic.Design/methodology/approachThrough broad literature reviews, nine common parameters under triple helix actor have been recognized. A regression analysis has been done to study how the triple helix actors’ common parameters impact Kaizen implementation in business operations.FindingsThe results of this study revealed insightful patterns in the relationships between the common parameters of triple helix actor and the dependent variables. Notably, the results also showed that leadership commitment (LC) emerges as a very significant component, having a big impact on employee engagement as well as organizational performance.Research limitations/implicationsIn addition to offering valuable insights, this study has limitations including the potential for response bias in survey data and the focus on a specific set of common parameters, which may not encompass the entirety of factors influencing Kaizen implementation within the triple helix framework during the pandemic.Originality/valueThe originality of this study lies in its comprehensive exploration of the interplay between triple helix actors and Kaizen principles in addressing COVID-19 challenges. By identifying and analyzing nine specific common parameters, the study provides a novel framework for understanding how triple helix actors collaboratively enhance organizational performance and employee engagement during challenging times.
Rohit Raj, Vimal Kumar, Ankesh Mittal, Priyanka Verma, Kuei-Kuei Lai, and Arpit Singh
Emerald
Purpose This study aims to identify and prioritize the key practices and strategies for effective global sourcing and supply chain management (SCM). Design/methodology/approach The study uses a combination of Pareto analysis and multi-objective optimization based on ratio analysis research methodology to analyze and establish the relationships among the identified key practices and strategies. Pareto analysis enables organization to prioritize organizational efforts and resources by focusing on the most critical factors. Findings The study shows that the “eco-friendly sourcing strategy”, “lean manufacturing” and “tool cost analysis” are the top critical practices and strategy variables for global sourcing and SCM, whereas the “risk management”, “procurement strategy” and “leverage digital solutions” are the critical practices and strategy variables. Research limitations/implications The findings of this research can also assist organizations in making informed decisions to optimize their global sourcing and supply chain operations. Originality/value By using these methods, this research paper gives valuable insights into the critical practices and strategies that can enhance efficiency, mitigate risks and drive success in global sourcing and SCM. The subjects and elements this study identified will serve as a framework and suggestions for further theoretical investigation and real-world implementations.
Saloni Pahuja, Seema Mahlawat, Vimal Kumar, Raj Kumar Sah, Minakshi Paliwal, Sumanjeet Singh, and Manoj Kumar
Elsevier BV
Rupesh Rajak, Binod Rajak, Vimal Kumar, and Swati Mathur
Emerald
PurposeThis study aims to provide a causal framework for teacher burnout (BO) and work engagement (WE) by examining the factors that contribute to it and evaluating how progressive education (PE) affects teachers' performance in Higher education institutions (HEIs).Design/methodology/approachThis study uses a multi-stage sampling technique with the help of computer random generation data from a selected list of teachers. The survey has two sections; the first consisted of a questionnaire of PE, BO, WE and organizational outcomes and the second contained four items to measure the demographic variables. The researcher contacted 745 teachers and asked them to fill up the questionnaire but the authors received only 498 useable responses.FindingsThe results of the study confirmed that moderating role PE reduces the BO of the teachers of HEIs and increases WE. The job demand-resource (JD-R) model was also validated in the Indian context and the model was found suitable for the Indian sample.Research limitations/implicationsThe study has been conducted to manage BO and teachers' engagement in HEIs and the result suggests that the Management of HEIs should value PE characteristics as a crucial component of the educational process. PE encourages academic engagement among professors and students in HEIs.Originality/valueThe study tests the moderating role of PE with the JD-R and the JD-R model in the higher education system in India, which is rarely tested. The study's integrated approach to BO and WE, which provide insight into both viewpoints and aids in employees' poor health.
Rohit Raj, Arpit Singh, Vimal Kumar, and Pratima Verma
Emerald
PurposeThis study examined the factors impeding the implementation of micro-credentials and accepting it as a credible source of earning professional qualifications and certifications necessary for pursuing higher education or other career goals.Design/methodology/approachThe factors were identified by reflecting on the recent literature and Internet resources coupled with in-depth brainstorming with experts in the field of micro-credentials including educators, learners and employers. Two ranking methods, namely Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE) and multi-objective optimization based on ratio analysis (MOORA), are used together to rank the major challenges.FindingsThe results of this study present that lack of clear definitions, ambiguous course descriptions, lack of accreditation and quality assurance, unclear remuneration policies, lack of coordination between learning hours and learning outcomes, the inadequate volume of learning, and lack of acceptance by individuals and organizations are the top-ranked and the most significant barriers in the implementation of micro-credentials.Research limitations/implicationsThe findings can be used by educational institutions, organizations and policymakers to better understand the issues and develop strategies to address them, making micro-credentials a more recognized form of education and qualifications.Originality/valueThe novelty of this study is to identify the primary factors influencing the implementation of micro-credentials from the educators', students' and employers' perspectives and to prioritize those using ranking methods such as PROMETHEE and MOORA.
Thao Trang Huynh Cam, Vimal Kumar, Van Canh Nguyen, Bich Van Le Thi, and Huynh Le
Inderscience Publishers
Rohit Raj, Vimal Kumar, and Elizabeth A. Cudney
Informa UK Limited
Pratima Verma, Vimal Kumar, Tugrul Daim, and Nagendra Kumar Sharma
Institute of Electrical and Electronics Engineers (IEEE)
Pratima Verma, Vimal Kumar, Sumanjeet Singh, Ankesh Mittal, Tanmoy De, and Mohit Rishi
Inderscience Publishers
Sumanjeet Singh, Vimal Kumar, Minakshi Paliwal, Shashank Vikram Pratap Singh, and Seema Mahlawat
Elsevier BV
Rohit Raj, Vimal Kumar, and Pratima Verma
Springer Science and Business Media LLC
Ankesh Mittal, Pardeep Gupta, Vimal Kumar, and Pratima Verma
Inderscience Publishers