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      Triggers of consumers’ enhanced digital engagement and the role of digital technologies in transforming the retail ecosystem during COVID-19 pandemic

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          Abstract

          This study seeks to unravel the factors that have triggered changes in individuals’ engagement with online consumption during the COVID-19 crisis and investigate the influence of digital technologies on the retail ecosystem during the lockdowns, as seen through the eyes of consumers. In doing so, a qualitative empirical research approach was adopted, and data was collected via in-depth interviews with 35 respondents during the COVID-19 lockdown in China. The study has delineated a systematic mapping of the retail ecosystem's reactions to the COVID-19 shock. Three overarching dimensions related to consumers’ online purchasing behaviors during the COVID-19 pandemic were identified: triggers of enhanced digital engagement, transformative capacity of digital technologies, and socio-economic adaptability during crises. The relevant themes underlying each aggregate dimension were further elaborated with evidence from the interviews. The study findings advance the extant literature on purchasing behavior and online retailing in times of crisis and offer important practical implications on improving crisis management capabilities of the retail ecosystem via digital technologies. As a final output, four propositions were extracted to serve for further research.

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          Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

          Highlights • Epidemic outbreaks are a special case of supply chain (SC) risks. • We articulate the specific features of epidemic outbreaks in SCs. • We demonstrate a simulation model for epidemic outbreak analysis. • We use an example of coronavirus COVID-19 outbreak.
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            What is an adequate sample size? Operationalising data saturation for theory-based interview studies.

            In interview studies, sample size is often justified by interviewing participants until reaching 'data saturation'. However, there is no agreed method of establishing this. We propose principles for deciding saturation in theory-based interview studies (where conceptual categories are pre-established by existing theory). First, specify a minimum sample size for initial analysis (initial analysis sample). Second, specify how many more interviews will be conducted without new ideas emerging (stopping criterion). We demonstrate these principles in two studies, based on the theory of planned behaviour, designed to identify three belief categories (Behavioural, Normative and Control), using an initial analysis sample of 10 and stopping criterion of 3. Study 1 (retrospective analysis of existing data) identified 84 shared beliefs of 14 general medical practitioners about managing patients with sore throat without prescribing antibiotics. The criterion for saturation was achieved for Normative beliefs but not for other beliefs or studywise saturation. In Study 2 (prospective analysis), 17 relatives of people with Paget's disease of the bone reported 44 shared beliefs about taking genetic testing. Studywise data saturation was achieved at interview 17. We propose specification of these principles for reporting data saturation in theory-based interview studies. The principles may be adaptable for other types of studies.
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                Author and article information

                Journal
                Technol Forecast Soc Change
                Technol Forecast Soc Change
                Technological Forecasting and Social Change
                Elsevier Inc.
                0040-1625
                0040-1625
                21 July 2021
                November 2021
                21 July 2021
                : 172
                : 121029
                Affiliations
                [a ]Nottingham University Business School China, University of Nottingham, Ningbo, China
                [b ]School of Management, University of Bristol, Bristol, Howard House, Queens Ave., Clifton, BS8 1SD, UK
                Author notes
                [* ]Corresponding author.
                Article
                S0040-1625(21)00461-3 121029
                10.1016/j.techfore.2021.121029
                9755634
                b10df1d7-2b25-4f66-ae55-f9d061bde924
                © 2021 Elsevier Inc. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 4 November 2020
                : 10 July 2021
                : 12 July 2021
                Categories
                Article

                retailing,consumer behavior,digital transformation,covid-19,epidemic crises

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