New shopping behaviors in a changing environment

Authors

  • Silvia Bellini
  • Cristina Zerbini
  • Donata Tania Vergura Università di Parma
  • Beatrice Luceri

DOI:

https://doi.org/10.7433/s120.2023.05

Keywords:

shopping behavior, multichannel behavior, channel choice determinants, covid-19, focus group, content analysis

Abstract

Purpose of the paper: The research has enriched the knowledge on shopping behaviors in the actual market scenario by identifying the determinants of multichannel behavior, the nature of choice drivers (rationale versus hedonistic) and the benefits soughs.

Methodology: Four focus groups with family purchasing managers, divided into two age segments (young people and adults) were conducted. The T-Lab software was used for the content analysis.

Findings: Multichannel shopping is a common feature of the two sample groups, what changes is the nature of its determinants: mainly utilitarian for young people, mainly hedonistic for adults. The rediscovery of the value of human relationships has also emerged during the pandemic. Finally, a growing demand for commercial services, aimed at satisfying the time-saving and convenience dimension of shopping, has emerged.

Research limits: Purchasing behaviors for other product categories should be investigated in order to understand any sectoral differences. Moreover, a quantitative analysis could be carried out to dimension the nature of the emerged phenomena.

Practical implications: Results emerged must be caught as an opportunity to identify what should be the future directions of commercial innovation. Human capital and technology represent the main assets to be taken on as a driver for the development of commercial innovation paths.

Originality of the paper: The analysis will make it possible to identify the commercial services considered as a priority by the consumer to understand which changes retail companies need to adopt to remain competitive in the evolving market context.

References

AIOLFI, S., & BELLINI, S. (2019). “Using Mobile Applications: A Model of Technology Adoption in the Grocery Setting”, International Journal of Business and Management, vol. 14 n. 12, pp. 42-52.
ARNOLD, M.J., & REYNOLDS, K.E. (2003). “Hedonic shopping motivations”, Journal of Retailing, vol. 79 n. 2, pp. 77-95.
BABIN, B. J., & DARDEN, W. R. (1995). “Consumer self-regulation in a retail environment”, Journal of Retailing, vol. 71 n.1, pp. 47-70.
BABIN, B.J., DARDEN, W.R., & GRIFFIN, M. (1994). “Work and/or fun: measuring hedonic and utilitarian shopping value”, Journal of Consumer Research, vol. 20 n. 4, pp. 644-656.
BARICCO, A. (2019). The game. Torino: Giulio Einaudi Editore.
DONTHU, N., & GUSTAFSSON, A. (2020). “Effects of COVID-19 on business and research”, Journal of business research, vol. 117, pp. 284-289.
DRICHOUTIS, A. C., LAZARIDIS, P., & NAYGA, R. M. (2007). “An assessment of product class involvement in food‐purchasing behavior”, European Journal of Marketing, vol. 41 n. 7/8, pp. 888-914.
EGER L., KOMÁRKOVÁ L., EGEROVÁ D., & MIČÍK M. (2021). “The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective”, Journal of Retailing and Consumer Services, vol. 61, p. 102542.
HAMILTON, R., THOMPSON, D., BONE, S., CHAPLIN, L. N., GRISKEVICIUS, V., GOLDSMITH, K., ... & ZHU, M. (2019). “The effects of scarcity on consumer decision journeys”, Journal of the Academy of Marketing Science, vol. 47 n.3, pp. 532-550.
HILBERT M. (2011). “Video animation on The World’s Technological Capacity to Store, Communicate, and Compute Information from 1986 to 2010” (available at https://www.youtube.com/watch?v=iIKPjOuwqHo; last access: January 18, 2021).
HILL, J., & LEE, H.H. (2012). “Young Generation Y consumers’ perceptions of sustainability in the apparel industry”, Journal of Fashion Marketing and Management: An International Journal, vol. 16 n. 4, pp. 477-491.
HIRSHMAN, E.C., & HOLBROOK, M.B. (1982). “The experimental aspects of consumption”, The Journal of Consumer Research, vol. 9 n. 2, pp. 132-140.
HOBBS, J. E. (2021). “The Covid-19 pandemic and meat supply chains”, Meat Science, vol. 181, p. 108459.
IRI (2020). Covid-19: Il largo consumo tra forti discontinuità ed accelerazioni (available at: https://www.iriworldwide.com/it-it/insights/publications/covid-19-il-largo-consumo-tra-forti-discontinuita; last access: January 19, 2021).
JARA, M., VYT, D., MEVEL, O., MORVAN, T., & MORVAN, N. (2018). “Measuring customers benefits of click and collect”, Journal of Services Marketing, vol. 32 n. 4, pp. 430–442.
JIH, WEN-JANG (2007), “Effects of Consumer-Perceived Convenience onShopping Intention in Mobile Commerce: An Empirical Study”, International Journal of E-Business Research, vol. 3 n. 4, pp. 33–48.
KIM, H.S. (2006). “Using hedonic and utilitarian shopping motivations to profile inner city consumers”, Journal of Shopping Center Research, vol. 13 n. 1, pp. 57-79.
KING, N. (1998). “Template analysis”. In S. Gillian (Ed), & C. Cassell (Ed), Qualitative methods and analysis in organizational research: A practical guide (pp. 118-134). Thousand Oaks, CA: Sage Publications Ltd.
KOCH, J., FROMMEYER, B., & SCHEWE, G. (2020). “Online shopping motives during the COVID-19 pandemic—lessons from the crisis”, Sustainability, vol. 12 n. 24, 10247.
KOUROUTHANASSIS, P.E., GIAGLIS, G.M., & VRECHOPOULOS, A.P. (2007). “Enhancing user experience through pervasive information systems: The case of pervasive retailing”, International Journal of Information Management, vol. 27 n. 5, pp. 319-335.
LABORDE, D., MARTIN, W., & VOS, R. (2020). “Poverty and food insecurity could grow dramatically as COVID-19 spreads”, International Food Policy Research Institute (IFPRI), Washington, DC.
LUCCHESE, M., & PIANTA, M. (2020). “The Coming Coronavirus Crisis: What Can We Learn?”, Intereconomics, vol. 55, pp. 98-104.
MARTIN, A., MARKHVIDA, M., HALLEGATTE, S., & WALSH, B. (2020). “Socio-economic impacts of COVID-19 on household consumption and poverty”, Economics of disasters and climate change, vol. 4 n.3, pp. 453-479.
MCKIBBIN, W., & FERNANDO, R. (2021). “The global macroeconomic impacts of COVID-19: Seven scenarios”, Asian Economic Papers, vol. 20 n. 2, pp. 1-30.
OECD (2020). “Coronavirus (COVID-19): Azioni congiunte per vincere la Guerra” (available at: https://www.oecd.org/about/secretary-general/Coronavirus-COVID-19-Azioni-congiunte-per-vincere-la-guerra.pdf; last access: January 19, 2021).
PANTANO E., PIZZI G., SCARPI D., & DENNIS C. (2020). “Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak”, Journal of Business Research, vol. 116, pp. 209-213.
REN, T., & TANG, Y. (2020). “Accelerate the promotion of mobile payments during the COVID-19 epidemic”, The Innovation, vol. 1 n.2.
SHETH J. (2020). “Impact of Covid-19 on consumer behavior: Will the old habits return or die?”, Journal of business research, vol. 117, pp. 280-283.
SINGH, A., & VERMA, P. (2017). “Factors influencing Indian consumers' actual buying behaviour towards organic food products”, Journal of cleaner production, vol. 167, pp. 473-483.
THIRUMALAI, S., & SINHA, K. K. (2011). “Customization of the online purchase process in electronic retailing and customer satisfaction: An online field study”, Journal of Operations Management, vol. 29 n. 5, pp. 477-487.
VERGURA, D.T, BELLINI, S., AIOLFI, S., LUCERI, B., ZERBINI, C. (2021). “Grocery shopping behaviour: classic drivers and Covid-19”, in Brusset, Xavier (Ed.), Proceedings of the Colloquium on European Research in Retailing (CERR) 2021.
VERMA, S., & GUSTAFSSON, A. (2020). “Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach”, Journal of Business Research, vol. 118, pp. 253-261.

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Published

2023-04-28