Krishan Kumar Pandey
@jgu.edu.in
Dean & Professor , Office of Doctoral Studies
O.P.Jindal Global University
Dr. Krishan K Pandey is a Professor at Jindal Global Business School and Dean of the Office of Doctoral Studies (ODS) at O. P. Jindal Global University. Dr. Pandey holds Bachler’s, Master and Doctorate in Statistics from JNV University, Jodhpur. He also holds an MBA degree from Allahabad, an executive degree in data science from XLRI, Jamshedpur & certifications from IIM Kolkata & IIM Raipur.
Before joining Jindal Global University, he held faculty and assistant dean-level positions at the University of Petroleum & Energy Studies, Dehradun, Banasthali University, Rajasthan and JNV University Jodhpur. Dr. Pandey has worked for Fachhochschule Frankfurt am Main University of Applied Sciences, Frankfurt, Germany. He has guided 15 PhD and written 50+ research papers in his research interest areas including Data Mining, Renewable Energy, Sustainability and business analytics.
EDUCATION
• Executive Development Program in “Data Science Using R and Excel” from Xavier School of Management (XLRI), Jamshedpur.
• Ph.D. (Statistics) in 2007 from the Department of Mathematics & Statistics, Jai Narain Vyas University, Jodhpur Rajasthan.
• M.Sc. in Statistics, 2002, from Jai Narain Vyas University, Jodhpur, Rajasthan.
• M.B.A. 2006 from Allahabad Agricultural Institute Deemed University.
• B. Sc. in Physics, Mathematics & Statistics, in July 2000, from Jai Narain Vyas University Jodhpur, Rajasthan.
RESEARCH INTERESTS
Data Mining
Energy and Environment
Business analytics
Risk analysis
Small Area Estimation
Statistical Modelling
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sanjeev Yadav, Ashutosh Samadhiya, Anil Kumar, Sunil Luthra, and Krishan Kumar Pandey
Elsevier BV
Anamika Saharan, Akash Saharan, Krishan Kumar Pandey, and T. Joji Rao
Emerald
PurposeThe low level of financial literacy among young adults is a pressing concern at both individual and country levels. Therefore, there is a dire need to understand the best-worst antecedents of financial literacy and how they influence each other.Design/methodology/approachA two-phased multicriteria decision-making (MCDM) technique consisting of best-worst method and interpretive structural modeling (BWM-ISM) was employed for pair-wise comparison, assigning weights, ranking and establishing the relationship among antecedents of financial literacy.FindingsResults suggest that use of Internet (SF1), role of financial advisors (SF3) and education level of individuals (DS7) are top ranked antecedents, whereas masculinity/feminity, language and power distance in society are the least ranked antecedents of financial literacy. Findings will help both academicians and practitioners focus on the key factors and make efforts to increase financial literacy by minimizing resource usage.Originality/valueThe current study provides clarity among antecedents of financial literacy by following BWM-ISM approach for the first time in the financial literacy context.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0746
Jagriti Singh, Krishan Kumar Pandey, Anil Kumar, Farheen Naz, and Sunil Luthra
Springer Science and Business Media LLC
Ashish Trivedi, Vibha Trivedi, Krishan Kumar Pandey, and Ouissal Chichi
Elsevier BV
Vibha Trivedi, Ashish Trivedi, Krishan Kumar Pandey, and Sushil S. Chaurasia
Elsevier BV
T. Joji Rao and Krishan Kumar Pandey
Springer International Publishing
Akash Saharan, Ashutosh Samadhiya, Anil Kumar, Krishan Kumar Pandey, Sunil Luthra, and Jose Arturo Garza-Reyes
Emerald
PurposeCircularity has acted as an essential phenomenon for small and medium enterprises (SMEs) in emerging economies, pressuring entrepreneurs to its adoption in their businesses. During the adoption and implementation of circularity, entrepreneurs or circular entrepreneurs (to be precise) are facing various challenges to its effective functioning. However, the scholarly literature has offered limited research into this phenomenon. Thus, the purpose of this research is to identify the various barriers and sub-barriers for circular entrepreneurs to adopt circularity in SMEs of emerging economies.Design/methodology/approachA combined qualitative and quantitative approach was employed to achieve the objectives of the study. In the first stage, through an extensive literature review, a list of barriers was identified and in the second stage, a deductive approach was employed to finalize the barriers. Finally, Best-Worst Method (BWM), a multi-criteria decision-making (MCDM) method, was used to analyse the significant importance of the barriers.FindingsThe findings of the study suggested the “financial barrier” as the first-ranked barrier in the adoption of Circular Business Models (CBMs), followed by the “regulatory and operational barrier” as the top second and third barriers. In terms of sub-barriers, “lack of access to funding and capital” has been identified as the top sub-barrier in the adoption of CBM, followed by “excessive regulations and red tape” and “challenges due to ambiguity of the concept”.Practical implicationsTo transition from a circular to a linear business approach considerably quicker and smoother, entrepreneurs may utilize the findings of this study as a blueprint for the steps to overcome the barriers in a linear to a circular transition.Originality/valueThis research differentiates from other studies due to solicited input directly from the people who are most familiar with the challenges of making the transition from linear to CBM, i.e. the entrepreneurs themselves.
Nisha Phakey, Karishma Godara, and Krishan Kumar Pandey
Informa UK Limited
Karishma Godara, Nisha Phakey, Vaibhav Patil, Siddharth Sarkar, and Krishan Kumar Pandey
Informa UK Limited
Sachin Kumar, Tapan Kumar Panda, and Krishan Kumar Pandey
Emerald
PurposeLimited research efforts have been undertaken despite the pivotal role of employees' voluntary behaviours in the success of organizations' environmental sustainability programs. In this context, the present study examined the association between employee's mindfulness (EM) and voluntary pro-environmental behaviour (VPEB) at the workplace, and also the mediating effect of connectedness to nature (CNS) on this relationship.Design/methodology/approachGrounded in the re-perceiving theory, a model was developed with EM as an independent variable, CNS as the mediator and employees VPEB at the workplace as the dependent variable. Based on the online responses from 421 employees working in manufacturing as well as services sectors in India, analysis was undertaken by utilizing confirmatory factor analysis, Pearson correlation and the PROCESS macro of Hayes (2017).FindingsEM was noted to be positively influencing employee's VPEB at the workplace, and the mediation analysis indicated that CNS partially intervenes in this relationship.Practical implicationsCorporate leaders striving to achieve the organization's environmental sustainability goals could strive to build a pro-environment culture at the workplace by developing employees' mindfulness and sense of CNS. As the findings have depicted, this would positively influence employee's VPEB at the workplace which in turn will help organizations in achieving their environmental sustainability goals.Originality/valueThis study is the first to examine how EM through CNS motivates employees to engage in VPEB, especially in the organizations' context. Moreover, the re-perceiving theory of mindfulness was also extended in the organizations' environmental sustainability context.
Vibha Trivedi, Krishan Kumar Pandey, and Ashish Trivedi
Emerald
PurposeThis paper is aimed at analyzing the inter-contextual relationships among the factors that led to inadequate management of electronic and electrical waste (WEEE) during COVID-19 using a subjective perspective.Design/methodology/approachGrey sets and a Decision-Making Trial and Evaluation Laboratory (DEMATEL)-based approach has been employed to identify the causal association of intertwined WEEE management barriers.FindingsResults reveal the lack of implementation of the legislative framework, extended producer responsibility and lesser corporate initiatives are some of the most challenging WEEE management challenges during the current pandemic.Practical implicationsThe findings of the study would enable stakeholders of WEEE management toward building resilient policies and effective implementation plans during as well as post-crisis situations.Originality/valueCOVID-19 led challenges related to healthcare waste have attracted a significant amount of scholarly attention, but there has been lesser attention toward e-waste management challenges during the pandemic. Negligence toward e-waste management can pose threats to the environment as well as human well-being.
Vibha Trivedi, Krishan Kumar Pandey, and Ashish Trivedi
Ram Arti Publishers
The outbreak of the novel Coronavirus pandemic has brought the world to a standstill. The constant increase in the rise of cases and deaths has compelled nearly all countries to impose lockdowns and other restrictive measures. The restrictions on travel and other non-essential activities have raised some serious business concerns for ridesharing, carpooling, and cab rental services. This study aims to identify, analyze, and prioritize the commuters’ barriers to App-based Ridesharing Services during COVID-19’s first and second waves, and potential ways of adaptation for an anticipated third wave in Indian contexts. The hierarchy of barriers is established using the responses from sixty respondents and their analysis using the multi-criteria decision-making (MCDM) technique, the Analytic Hierarchy Process (AHP). ‘Safety from contagion’ was found to be the most significant and strong factor followed by the desire for personal space and personal security as the most important inhibitors for not choosing ridesharing services during COVID-19. Socio-economic status and the lack of reliability of service were not given much importance by the respondents. The current and potential implications for sustainable business and the environment are also discussed.
Sachin Kumar, Tapan K. Panda, and Krishan Kumar Pandey
Emerald
Purpose This study aims to examine the relationship between employees’ mindfulness and pro-environmental behaviour, along with the mediating role of self-transcendent values, at the workplace. Design/methodology/approach The study uses online data collected from 381 respondents employed in different industries across India. Confirmatory factor analysis was used to check the construct’s validity and reliability and Pearson correlation was used to examine the relationship between the variables. Moreover, the PROCESS macro of Hayes (2017) was used to examine the mediation. Findings Employees’ mindfulness was found to be positively associated with voluntary pro-environmental behaviour at the workplace, and the mediation analysis specifies that a self-transcendent value partially mediates this relationship. Research limitations/implications This study tested and extends the S-ART model and Schwartz value theory in the context of employees’ pro-environment behaviours at the workplace. Practical implications The results could be encouraging and helpful for top management and organizational change champions in strategizing and effective implementation of mindfulness programmes that would encourage and enhance employees’ voluntary participation in environment-friendly activities at their workplace. Originality/value Despite the decisive role of employees in organisations’ environmental sustainability programmes’ success, the availability of scant literature has led researchers to call for more studies. The present study is timely and could be the first to examine the role of employees’ mindfulness and self-transcendent values in influencing employees’ engagement in environmental-friendly behaviours at the workplace.
Krishan K. Pandey and Harshil Rastogi
Elsevier BV
B.S. Negi, K.K. Pandey, and Neha Sehgal
Elsevier BV
Surajit Bag, Neeraj Anand, and Krishan Kumar Pandey
IGI Global
The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.
Namita Pragya and Krishan K. Pandey
Elsevier BV
Tanushree Sharma, K.K. Pandey, D.K. Punia, and Joji Rao
Elsevier BV
Neha Sehgal and Krishan K. Pandey
Springer Science and Business Media LLC
Neha Sehgal and Krishan K. Pandey
SCITEPRESS - Science and and Technology Publications
Geopolitical and economic events had strong impact on crude oil markets for over 40 years. Oil prices steadily rose for several years and in July 2008 stood at a record high of $145 per barrel. Further, it plunged to $43 per barrel by end of 2008. There is need to identify appropriate features (factors) explaining the characteristics of oil markets during booming and downturn period. Feature selection can help in identifying the most informative and influential input variables before and after financial crisis. The study used an extended version of MI3 algorithm i.e. I2MI2 algorithm together with general regression neural network as forecasting engine to examine the explanatory power of selected features and their contribution in driving oil prices. The study used features selected from proposed methodology for one-month ahead and twelve-month ahead forecast horizon. The forecast from the proposed methodology outperformed in comparison to EIA's STEO estimates. Results shows that reserves and speculations were main players before the crisis and the overall mechanism was broken due to 2008 global financial crisis. The contribution of emerging economy (China) emerged as important variable in explaining the directions of oil prices. EPPI and CPI remain the building blocks before and after crisis while influence of Non-OECD consumption rises after the crisis.
Khanjan Ajaybhai Kalyani and Krishan K. Pandey
Elsevier BV
V. Ananda Kumar, Krishan K. Pandey, and Devendra Kumar Punia
Elsevier BV