Dr. Sachin Gupta

@vips.edu

Dean Research /Assistant Professor School of Economics
Vivekananda Institute of Professional Studies Technical Campus

Dr. Sachin Gupta


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https://researchid.co/orsachin2024

RESEARCH, TEACHING, or OTHER INTERESTS

Organizational Behavior and Human Resource Management, Mathematics, Statistics, Probability and Uncertainty
13

Scopus Publications

240

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Does financing from financial institutions affect productivity of small enterprises? An examination using spline regression
    Seema Joshi, Sachin Gupta
    Encyclopedia of Monetary Policy Financial Markets and Banking, 2025
  • Renewable energy consumption and CO2 emissions; do political systems matter? Arguments and evidence for emerging economies from Asia and SSA
    Seema Joshi, Sachin Gupta, Charu Kaistha
    Encyclopedia of Monetary Policy Financial Markets and Banking, 2025
  • Exploring ChatGPT Adoption Among Teacher Educators in Higher Education: An Extended UTAUT2 Approach
    Baninder Rahi, Sunil K. Mishra, Sachin Gupta, Radhe Krishan
    Lecture Notes on Data Engineering and Communications Technologies, 2025
  • Market basket analysis and product bundling at Mirra’s Kitchen
    Gaurav Nagpal, Ankita Nagpal, Manish Das, Sachin Gupta, Sandeep Singh, Sarveshwar Kumar Inani
    Emerald Emerging Markets Case Studies, 2025
    Learning outcomes To appreciate the problems faced by the restaurants during the pandemic. To be able to perform the computations related to market basket analysis metrics using an Microsoft Excel spreadsheet. To be able to perform association rule mining using Python. To identify the products that are likely to go together from the output of market basket analysis and to suggest the product bundles. To recommend suitable pricing for the product bundles and the individual elements of the combo to maximize the profits, using evolutionary optimisation in an Microsoft Excel spreadsheet. Case overview/synopsis This case is about a restaurant in the Kolkata city of West Bengal state of India that wanted to find the degree of association between different products in the customer’s cart so that it could use that information to create suitable product bundles. The case not only exposes the students to appreciate the significance of metrics in market basket analysis but also enables them to compute those metrics using an Microsoft Excel spreadsheet and a Python notebook. The case also aims to enable the students to determine the optimal selling price of the product bundles and the individual elements so as to maximise the profits. Complexity academic level This case can be used in the graduate studies programs such as Masters of Business Administration for the courses related to marketing analytics or pricing analytics during the later stage of the programmes when the specialised courses are covered. Supplementary material Teaching notes are available for educators only. Subject code CSS 7: Management Science.
  • What determines the performance of pharmaceutical firms in India on account of COVID-19 interventions?
    Ashu Lamba, Priti Aggarwal, Sachin Gupta, Mayank Joshipura
    International Journal of Pharmaceutical and Healthcare Marketing, 2024
    Purpose This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs). Design/methodology/approach This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms. Findings The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age. Originality/value The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.
  • The analysis of performance due to impact of bullwhip effect in Covid: select Indian sector perspective
    Sachin Gupta, Sakshi Goel, Santosh Kumar, Gaurav Nagpal
    Journal of Global Operations and Strategic Sourcing, 2024
    Purpose The purpose of the study is to analyze and measure the impact of disruption in demand which causes the bullwhip effect. The bullwhip effect impacts the performance of firm. Just like everything else, covid has had an impact on the disruption of supply chain too leading to the need of measuring the bullwhip effect of select Indian sectors. The comparison on bullwhip effect is drawn in pre- and during covid era in major sectors. The study helps to understand, analyze and measure the impact of covid and its challenges to supply chain. Design/methodology/approach The empirical study is carried out on five major select Indian sectors which have the largest market capitalization in Indian economy, namely, FMCG (fast-moving consumer goods), automobile, utility, consumer durable and IT (information technology). The disruption in the supply chain is measured in terms of bullwhip effect. The novel metric ratio of bullwhip effect is computed which is based on demand–supply mismatch and analyzed based on 10 years of observations. The data is analyzed twice, first from 2011 to 2019 (pre-covid era) and second from 2019 to 2021 (during covid era). Each time, Bombay Stock Exchange (BSE) sectoral indices are used to compute the bullwhip ratio, and empirical data is collected using Prowess. The firms listed in BSE represent most of the sector. Such panel data helps us to analyze inter- and intraindustry bullwhip effect. The changes in the bullwhip effect for various BSE listed firms are analyzed pre- and during covid era. These changes are specifically studied at the manufacturer end of the supply chain. Later regression analysis is performed to study the changes required in production based on the demand. The various strategies that cause or mitigate the impact of covid in intraindustry can be derived from the study. The disruption in production is analyzed based on the disruption in demand and profit before interest and tax (PBIT). Findings In pre-covid era, the percentage of demand disruption was low in select sectors but not exactly zero. Covid caused the disruptions in supply chain across the globe which resulted in bullwhip effect in Indian sectors too. Yet some of the sectors were able to cope better with the situation as compared to others. In the present study, same is analyzed statistically, and results are derived for practical significance. Research limitations/implications The empirical data is having the observations of past 10 years to analyze the pattern of demand disruption in the firms and hence the sectors. The impact of covid is studied on performance, which is analyzed in terms of PBIT. The impact of other factors (political, social, marketing policies, etc.) that may cause disruption in the supply chain of a firm is not considered in the study. Originality/value Study is unique, as it measures disruption and provides a peerless way to study the inter- and intrasectors. To analyze the impact of bullwhip effect on sector performance, it is very much required to first measure the bullwhip; this measure of bullwhip as a ratio of the slopes of demand and supply is a novel approach. The study emphasizes that the impact of covid is not the same among the firms, and hence among the sectors. Also, it is found that the impact of such adversities can be mitigated, and performance of firm can remain intact in turbulent times too.
  • The Role of Artificial Intelligence in Indian Print Media Organisations: Journalists' Perspective
    Baninder Rahi, Sunil Kumar Mishra, Sachin Gupta, Radhe Krishan
    2024 1st International Conference on Data Computation and Communication Icdcc 2024, 2024
    With Artificial Intelligence (AI) and generative AI potentially changing the landscape of journalism, this research paper investigates the perspective of Indian print media journalists concerning the adoption of AI at the individual and organisational levels. Authors deploy exploratory factor analysis to retrieve factors concerning AI from the loaded statements. The exploratory factor analysis identified training, awareness, usage, and integration as key factors concerning journalists' use of AI. The conceptual model developed for the study, tested using principal component regression, reveals that journalists' awareness, usage, training and integration of AI impact journalistic practice. This study is one of the first studies on AI and journalism in the Indian context. Further, it bridges the gap between the available literature on the said topic and provides valuable insights into the broader implications of AI in media and communication.
  • An empirical investigation on mitigation of bullwhip effect: practices perspective
    Sachin Gupta, Anurag Saxena
    International Journal of Public Sector Performance Management, 2023
    Globalisation creates a competitive situation in markets due to which firms strive for optimal establishment of supply chain. Change in technology, response time and shrinkage life cycle of product, constant change in need of customer, etc., create a complex situation in implementation of supply chain to gain competitive advantage. One of the major identified phenomenon by virtue of which there exists a hindrance in optimal functioning of supply chain, occurs mainly due to operational decisions is identified as bullwhip effect. The present study identifies the factors which mitigate bullwhip effect on the basis of extensive literature review. The study conceptualises six-dimensional model for mitigation of bullwhip effect based on the identified factors. The impact of these factors on mitigating the bullwhip effect is measured empirically using the higher order confirmatory factor analysis model. The factors viz. information system, inventory management, promotional effect, and flexibility have a direct positive significant impact on mitigation of bullwhip effect whereas operations is found to be having negative impact on mitigation of bullwhip effect.
  • A new theoretical framework of shopping motives and channel preference behaviour in the digital era
    Durgesh Kumar Agrawal, Sachin Gupta
    International Journal of Consumer Studies, 2023
    The unprecedented dissemination of digital technology has changed people's psychology including their shopping behaviour in the last two decades. Smartphone led digital applications and advancements have disrupted consumers' shopping processes, purchase decisions, and priorities as well as increased their exposure, aspirations and expectations inevitably. Therefore, it is imperative to examine the relevance of various elements of shopping motives holistically. Therefore, the present study aims to develop a new theoretical framework based on significant elements of shopping motives for physical products in the digital technology era. For this purpose, an exploratory study, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modelling (SEM) were used. EFA generated five latent factors by grouping 18 independent variables. CFA validated latent factor construct and measured model fit. SEM visualized the path analysis and portrayed the pattern of relations between latent factors into a single factor structural model (consumer shopping motives framework). Results show that consumers' shopping priorities are changing as 3 conventional variables (‘role‐playing’, ‘status and authority’, and ‘pleasure of bargaining’) became obsolete and 3 new (‘anywhere and any‐time shopping’, ‘safe and secure digital transaction’, and ‘unbiased reviews and ratings”) came into existence prominently. The format and perspective of ‘fun, entertainment and recreation’ ‘social interaction and communication’, and ‘exposure to new and latest trends' have been changing. Consumers are becoming more technology‐dependent in their shopping processes and purchase decisions. The validation of the framework on channel preference behaviour revealed that consumers largely prefer offline channels for the fulfilment of risk‐free and social sub‐motives, and online channels for convenience sub‐motive. Therefore, broad structural change and clarity, specification of priorities, a shift in the format and perspective of few elements of shopping motives, intrinsic passion for the use of digital technology and web service in the shopping journey, and simplification of antecedents for growing popularity of multi‐channel shopping paradigm are the key novelty of this study.
  • Operations-based classification of the bullwhip effect
    Sachin Gupta, Anurag Saxena
    Journal of Modelling in Management, 2022
    Purpose Present study deals with the most discussed rather than addressed yet still an unsolved problem of supply chain known as the bullwhip effect. Operational variables affecting the bullwhip effect are identified and their role in causing the bullwhip effect has been explored using artificial neural networks. The purpose of this study is to analyze the impact of identified operational reasons that affect the bullwhip effect and to analyze the bunch of variables that are more prominent in explaining the phenomenon of the bullwhip effect. Design/methodology/approach Ten major sectors of the Indian economy are analyzed for the bullwhip effect in the present study, and the operational variables affecting the bullwhip effect in these sectors are identified. The bullwhip metric is developed as the ratio of variance in production to the variance in the demand. The impact of identified operation variables on the bullwhip effect has been discussed using the artificial neural network technique known as multilayer perceptron. The classification is also performed using neural network, logistic regression and discriminant analysis. Findings The operation variables are found to be varying with respect to sectors. The study emphasizes that analyzing the right set of operation variables with respect to the sector is required to deal with the complex problem, the bullwhip effect. The operational variables affecting the bullwhip effect are identified. The classification result of the neural network is compared with those of the logistic regression and discriminant analysis, and it is found that the dynamism present in the bullwhip effect is better classified by neural network. Research limitations/implications The study used 11 years of observations to analyze the bullwhip effect on the basis of operational variables. The bullwhip effect is a complex phenomenon, and it is explained on the basis of an extensive set of operational variables which is not exhaustive. Further, the behavioral aspect (bullwhip because of decision-making) is not explored in the present study. Practical implications The operational aspect plays a gigantic role to explain and deal with the bullwhip effect. Strategies to mitigate the bullwhip effect must be in accordance with the operational variables impacting the sector. Originality/value The study suggests a novel approach to study the bullwhip effect in supply chain management using the application of neural networks in which operational variables are taken as predictor variables.
  • Predicting the impact of operational and financial variables on bullwhip effect using threshold regression: Indian context
    Sachin Gupta, Anurag Saxena
    Journal of Global Operations and Strategic Sourcing, 2020
  • Classification of operational and financial variables affecting the bullwhip effect in indian sectors: A machine learning approach
    Sachin Gupta, Anurag Saxena
    Recent Patents on Computer Science, 2019
  • Audio watermarking with reduced number of random samples
    Rohit Anand, Gulshan Shrivastava, Sachin Gupta, Sheng-Lung Peng, Nidhi Sindhwani
    Handbook of Research on Network Forensics and Analysis Techniques, 2018

RECENT SCHOLAR PUBLICATIONS

  • Assessing the Relative Importance of the Drivers of CO₂ Emissions in the Selected Emerging Economies Using Machine Learning Approach
    S Joshi, S Gupta, C Kaistha
    International Conference on Policies, Processes and Practices for … , 2025
    2025
  • Impact of Inventory on Production Smoothening in FMCG Supply Chain
    A Garg, S Gupta, S Kumar, A Bhuyan
    International Conference on Policies, Processes and Practices for … , 2025
    2025
  • Measuring the Impact of Inventory and Marketing on Production Smoothening in a Utility Sector: A Panel Data Approach
    S Mishra, S Gupta, G Nagpal, N Gupta
    Proceedings of the International Conference on Policies, Processes and … , 2025
    2025
  • The analysis of performance due to impact of bullwhip effect in Covid: select Indian sector perspective
    S Gupta, S Goel, S Kumar, G Nagpal
    Journal of Global Operations and Strategic Sourcing 18 (3), 548-558 , 2025
    2025
  • Exploring ChatGPT Adoption Among Teacher Educators in Higher Education: An Extended UTAUT2 Approach
    B Rahi, SK Mishra, S Gupta, R Krishan
    International Symposium on Generative AI and Education, 55-65 , 2025
    2025
    Citations: 1
  • Market basket analysis and product bundling at Mirra’s Kitchen
    G Nagpal, A Nagpal, M Das, S Gupta, S Singh, SK Inani
    Emerald Emerging Markets Case Studies, 1-16 , 2025
    2025
    Citations: 1
  • Does financing from financial institutions affect productivity of small enterprises? An examination using spline regression
    S Joshi, S Gupta
    Academic Press , 2025
    2025
  • Renewable energy consumption and CO2 emissions; do political systems matter? Arguments and evidence for emerging economies from Asia and SSA
    S Joshi, S Gupta, C Kaistha
    Academic Press , 2025
    2025
    Citations: 2
  • The Role of Artificial Intelligence in Indian Print Media Organisations: Journalists' Perspective
    B Rahi, SK Mishra, S Gupta, R Krishan
    2024 First International Conference on Data, Computation and Communication … , 2024
    2024
    Citations: 1
  • What determines the performance of pharmaceutical firms in India on account of COVID-19 interventions?
    A Lamba, P Aggarwal, S Gupta, M Joshipura
    International Journal of Pharmaceutical and Healthcare Marketing 18 (3), 353-374 , 2024
    2024
    Citations: 1
  • Enriching the Research
    S Gupta
    VIVEKANANDA JOURNAL OF RESEARCH Учредители: 9VOM 14 (1), 1 , 2024
    2024
  • Enhancing Agricultural Decision Support with AIoT: A Research Travelogue
    S Gupta
    Empirical Economics Letter 23 , 2024
    2024
  • An empirical investigation on mitigation of bullwhip effect: practices perspective
    S Gupta, A Saxena
    International Journal of Public Sector Performance Management 11 (4), 401-434 , 2023
    2023
    Citations: 2
  • A new theoretical framework of shopping motives and channel preference behaviour in the digital era
    DK Agrawal, S Gupta
    International Journal of Consumer Studies 47 (1), 400-418 , 2023
    2023
    Citations: 44
  • Analysis of Computer Network Security Storage System Based on Cloud Computing Environment
    D Vekariya, MKJ Kannan, S Gupta, P Muthusamy, R Mahajan, AK Pandey
    International journal of communication networks and information security 14 … , 2022
    2022
    Citations: 4
  • Operations-based classification of the bullwhip effect
    S Gupta, A Saxena
    Journal of Modelling in Management 17 (1), 134-153 , 2022
    2022
    Citations: 15
  • Does Cross-Functional Pedagogy of Teaching a Course Help in Management Education?: Evidence From a Supply Chain Management Course
    G Nagpal, NVK Jasti, A Kumar, S Gupta
    International Journal of Adult Education and Technology (IJAET) 13 (1), 1-18 , 2022
    2022
  • Multi-Period EOQ Model for Multi-Generation Technology Products With Short Product Life Cycles
    G Nagpal, U Chanda, NVK Jasti, S Gupta
    International Journal of E-Adoption (IJEA) 14 (1), 1-22 , 2022
    2022
  • Factors Affecting the Effective Implementation of MOOCs in India.
    A Saxena, A Saxena, S Gupta
    Global Journal of Enterprise Information System 12 (4) , 2020
    2020
    Citations: 2
  • Predicting the impact of operational and financial variables on bullwhip effect using threshold regression: Indian context
    S Gupta, A Saxena
    Journal of Global Operations and Strategic Sourcing 13 (2), 211-227 , 2020
    2020
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Audio watermarking with reduced number of random samples
    R Anand, G Shrivastava, S Gupta, SL Peng, N Sindhwani
    Handbook of Research on Network Forensics and Analysis Techniques, 372-394 , 2018
    2018
    Citations: 85
  • A new theoretical framework of shopping motives and channel preference behaviour in the digital era
    DK Agrawal, S Gupta
    International Journal of Consumer Studies 47 (1), 400-418 , 2023
    2023
    Citations: 44
  • Classification of operational and financial variables affecting the bullwhip effect in Indian sectors: a machine learning approach
    S Gupta, A Saxena
    Recent Patents on Computer Science 12 (3), 171-179 , 2019
    2019
    Citations: 20
  • Operations-based classification of the bullwhip effect
    S Gupta, A Saxena
    Journal of Modelling in Management 17 (1), 134-153 , 2022
    2022
    Citations: 15
  • Mergers and acquisitions for enhancing supply chain competitiveness
    S Gupta
    Journal of Marketing and Operations Management Research 2 (3), 129 , 2012
    2012
    Citations: 15
  • Performance modeling and evaluation of transportation systems using analytical recursive decomposition algorithm for cyclone mitigation
    S Gupta, B Gupta
    Journal of Information and Optimization Sciences 40 (5), 1131-1141 , 2019
    2019
    Citations: 12
  • Countering bullwhip effect in supply chain management: a literature review
    S Goel, M Toufeeq, A Saxena, S Gupta
    Journal of Supply Chain Management Systems 9 (1), 14 , 2020
    2020
    Citations: 9
  • Factors affecting bullwhip effect: Indian sectoral study
    S Gupta, A Saxena
    Journal of Supply Chain Management Systems 8 (3), 1-12 , 2019
    2019
    Citations: 6
  • Predicting the impact of operational and financial variables on bullwhip effect using threshold regression: Indian context
    S Gupta, A Saxena
    Journal of Global Operations and Strategic Sourcing 13 (2), 211-227 , 2020
    2020
    Citations: 5
  • Analysis of Computer Network Security Storage System Based on Cloud Computing Environment
    D Vekariya, MKJ Kannan, S Gupta, P Muthusamy, R Mahajan, AK Pandey
    International journal of communication networks and information security 14 … , 2022
    2022
    Citations: 4
  • Empirical evaluation of human factors that affect design of the product
    R Bakshi, S Gupta
    International Journal of Computer Applications 100 (9) , 2014
    2014
    Citations: 4
  • The Insights on Marketing Initiatives Impacting the Bullwhip Effect: Sectoral Study.
    S Gupta, A Saxena
    International Journal of Business & Applied Sciences 9 (1) , 2020
    2020
    Citations: 3
  • Demand estimation under push marketing strategy: Tool to mitigate bullwhip effect
    S Gupta
    International Journal of Research in Commerce and Management 3 (3), 93-98 , 2012
    2012
    Citations: 3
  • Renewable energy consumption and CO2 emissions; do political systems matter? Arguments and evidence for emerging economies from Asia and SSA
    S Joshi, S Gupta, C Kaistha
    Academic Press , 2025
    2025
    Citations: 2
  • An empirical investigation on mitigation of bullwhip effect: practices perspective
    S Gupta, A Saxena
    International Journal of Public Sector Performance Management 11 (4), 401-434 , 2023
    2023
    Citations: 2
  • Factors Affecting the Effective Implementation of MOOCs in India.
    A Saxena, A Saxena, S Gupta
    Global Journal of Enterprise Information System 12 (4) , 2020
    2020
    Citations: 2
  • Exploring Bullwhip Effect in Supply Chain Management: A Study of Select Indian Sectors
    S Gupta
    Indira Gandhi National Open University (India) , 2020
    2020
    Citations: 2
  • A study of change in bullwhip effect: An Indian sectoral study
    S Gupta, A Saxena
    Journal of Supply Chain Management Systems 8 (2), 24-31 , 2019
    2019
    Citations: 2
  • Exploring ChatGPT Adoption Among Teacher Educators in Higher Education: An Extended UTAUT2 Approach
    B Rahi, SK Mishra, S Gupta, R Krishan
    International Symposium on Generative AI and Education, 55-65 , 2025
    2025
    Citations: 1
  • Market basket analysis and product bundling at Mirra’s Kitchen
    G Nagpal, A Nagpal, M Das, S Gupta, S Singh, SK Inani
    Emerald Emerging Markets Case Studies, 1-16 , 2025
    2025
    Citations: 1