Work place: BIMS Kolkata, India
E-mail: mukhopadhyaysabyasachi@gmail.com
Website:
Research Interests:
Biography
Sabyasachi Mukhopadhyay is an Assistant Professor of Business Analytics and Operations at BIMS Kolkata, WB, India. He was a Project Scientist at Nanoscope Technologies. He was associated with MAKAUT (Govt. of WB) as a Faculty of Business Analytics and Statistics. He is associated with University of Calcutta and SCIT Pune as a Visiting Faculty. He had received MS in Physical Sciences from IISER Kolkata. He has more than 55 publications which include patent, books, journals and proceedings. He is a ‘Nominated Board Member and External Expert of Institution’s Innovation Council (IIC)’ at IEM Kolkata, Techno India Main Salt Lake and IISER Kolkata.
By Debadrita Panda Sabyasachi Mukhopadhyay Rajarshi Saha
DOI: https://doi.org/10.5815/ijisa.2022.06.02, Pub. Date: 8 Dec. 2022
This study tries to gain insight into the effect of demographic and psychological variables on the Bottom of the Pyramid (BoP) consumers for making Packaging Influenced Purchase (PIP) decisions by focusing on two specific consumer behaviour theories - compensatory consumption and consumers’ resistance. Being the product's face, packaging contributes heavily to the above mentioned two streams of consumption behaviour. A collection of ten demographic variables and four psychological variables have been administered on a sample of 1400 BoP consumers to explore their effect behind making PIP of selected FMCG products. Various classification techniques have been deployed to capture the impact of these variables. This experimental research design revealed that both demographic and psychological variables affect the PIP. The comparison between urban and rural BoPs potentially comes with the guidelines for practical marketing implications.
[...] Read more.By Debadrita Panda Sabyasachi Mukhopadhyay Rajarshi Saha Prasanta K. Panigrahi
DOI: https://doi.org/10.5815/ijisa.2022.04.04, Pub. Date: 8 Aug. 2022
The behaviour of consumers mostly follows the guidelines derived from marketing theories and models. But under some unavoidable circumstances, the consumers show a complete deviation compared to their existing consumption pattern, purchase behaviour, decision-making and so on. Under similar circumstances, this study aims to capture both urban and rural Bottom of the Pyramid (BoP) consumers’ perceptions of various marketing mixes during the COVID-19 pandemic situation. With a sample size of 378 and 282, the perception towards different marketing mixes has been captured for Pre-COVID and During-COVID periods, respectively. The adopted quantitative analysis indicates a difference in perception towards marketing mix During COVID compared to Pre-COVID. Moreover, the selection of West Bengal, India, as an area of research fulfills the BoP literature’s existing prominent research gap. This study also comes with the potential to assist marketers and the Fast-Moving Consumer Goods (FMCG) industry in framing strategies to target BoP consumers.
[...] Read more.By Debadrita Panda Sabyasachi Mukhopadhyay Amit Kumar Bachhar Moumita Roy
DOI: https://doi.org/10.5815/ijisa.2022.03.01, Pub. Date: 8 Jun. 2022
This study has a novel approach to capture the attitude of Bottom of the Pyramid (BoP) consumers towards Packaging Influenced Purchase (PIP) during the Covid-19 crisis. Over the years, BoPs consumers have established themselves as an emerging market with ample growth and opportunities. The authors suggested a Multiple-Criteria Decision-Making (MCDM) based framework to assist marketers in targeting both urban and rural BoP consumers regarding PIP. Packaging elements and influence of family, extended family, peers have been included in the framework for gaining in-depth understanding. With a sample size of 100 from West Bengal, this focus group-based study can fulfil the BoP literature’s existing prominent research gap. Results indicate the difference in attitude for urban and rural BoPs towards PIP during this crisis. The fusion of MCDM based approach and relevant machine learning-based technique aims to assist marketers in identifying, formulating, and redefining an action plan.
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