Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: Does social influence matter?

Prasanta Kr Chopdar, Justin Paul and Jana Prodanova

Technological Forecasting and Social Change, 2022, vol. 174, issue C

Abstract: Because of the Covid-19 pandemic, there has been a variety of changes identified in customers’ shopping behaviours, and development of new practices as a response to the crisis. The purpose of this research is to examine the effects of Covid-19 phobia, and news exposure on individuals’ psychological states, and their resulting mobile shopping behaviour. Relying upon the Activate, Belief and Consequences (ABC) model of the Cognitive-Behaviour Theory, this research applies the partial least square structural modelling (PLS-SEM) methodology for analysing the data from 302 mobile shoppers from India. The results confirm that Covid-19 phobia and Covid-19 news exposure are substantial determinants of consumers’ smartphone addictive use and pessimism, which in turn affect mobile shopping frequency. Additionally, social influence is found to play a vital role in moderating mobile shopping frequency for individuals, who experience smartphone addiction. The current study is a pioneering effort to examine the influence of Covid-19-induced phobia on consumers' psychological states and their subsequent impact on their mobile shopping frequency. The study provides several contributions to theory and practice within the areas of technology use and mobile shopping in particular.

Keywords: Covid-19 phobia; News exposure; Smartphone addiction; Pessimism; Social influence; Mobile shopping frequency (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521006831
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006831

DOI: 10.1016/j.techfore.2021.121249

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().