Dan-Cristian Dabija, Veronica Câmpian, Bernd Philipp, David B. Grant
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引用次数: 0
Abstract
The implemented research investigates the switch in consumer expectations and purchasing. The COVID-19 pandemic may have been the cause for a switch in consumer expectations and behaviour with respect to in-store versus online grocery purchases. If consumers preferred to shop almost exclusively in physical stores before pandemic-imposed restrictions, many consumers may have changed their preferences, expectations and consumer purchasing behaviour due to sanitary restrictions, social distancing, pandemic-induced fear, certainty when shopping and reduced peer interactions. The implemented research investigates the switch in consumer expectations and purchasing behaviour after the pandemic in terms of how customers decide to buy groceries in response to the impact of the COVID-19 pandemic. Based on the extant literature, a conceptual model is proposed, and a quantitative survey of Romanian consumers analysed using Smart PLS structural equation modelling. The findings indicate that switching behaviour exerted a significant influence on consumer purchasing behaviour after the pandemic but did not determine it. From a theoretical standpoint, this study expands the understanding and application of the Protection Motivation Theory (PMT). From a managerial standpoint, this study offers managers a clearer picture of consumer purchasing behaviour, and the extent of altered consumer purchasing behaviour as a result of the COVID-19 pandemic. Pandemic-related research issues as addressed by the authors do not have a long-standing tradition within our management discipline, and the same observation is true regarding the phased levels of our investigation, i.e., before, during and after (the COVID-19 crisis) as performed in our study. This is, to the best of our knowledge, the first attempt to use a switch concept related to COVID-19 and consumer purchasing behaviour in retail. When elaborating our research model, the main challenges included the necessity to blend traditional retail and SCM literature streams. Indeed, logistics academia traditionally focuses on B2B settings, whereas our research reflects a consumer-centric approach.
期刊介绍:
Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors.
Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter.
The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline.
The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy.
The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.