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Personality and E-shopping: Insights from a Nationally Representative Study
University of Skövde, School of Health Sciences. University of Skövde, Digital Health Research (DHEAR). Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg / Centre for Consumer Research, School of Business, Economics and Law, University of Gothenburg, Sweden / Department of Business Administration and Textile Management, University of Borås, Sweden. (Individ och samhälle (VIDSOC), Individual and Society)ORCID iD: 0000-0003-1566-4478
2019 (English)In: Digital Transformation and Global Society: 4th International Conference, DTGS 2019, St. Petersburg, Russia, June 19–21, 2019, Revised Selected Papers / [ed] Daniel A. Alexandrov; Alexander V. Boukhanovsky; Andrei V. Chugunov; Yury Kabanov; Olessia Koltsova; Ilya Musabirov, Cham: Springer, 2019, p. 257-267Chapter in book (Refereed)
Abstract [en]

According to previous research, a high degree of Openness and Neuroticism, and a low degree of Agreeableness are personality determinants of e-shopping. This study aims to explore the relationship between the Five-factor model of personality (i.e. Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) and e-shopping in a Swedish context. In a nationally representative sample, a questionnaire was distributed to 3400 citizens. The response rate was 53 percentage (N = 1812). The questionnaire included measures of the Five-factor model of personality (BFI-ten) and e-shopping. Multiple regression analyses were conducted to test if the Five-factor model of personality predicted e-shopping. The dependent variable was self-reported frequencies of e-shopping during the last 12 months. The first analysis showed that Openness is predicting e-shopping. However, this effect disappeared, when age, educational attainment and income were controlled for. Our conclusion is that the Five-factor model of personality is a poor predictor of e-shopping and that e-shopping frequencies are unrelated to the personality of internet users. Methodological limitations are discussed, for instance the use of a single-item for measuring e-shopping and a short-scale for measuring personality. There are difficulties comparing our findings with previous findings, since the concepts personality and e-shopping have not been defined uniformly. The analyses revealed significant variation in definitions, measurements and methodologies. Caution should also be taken in generalizing the present results to other countries and other time periods. © 2019, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Cham: Springer, 2019. p. 257-267
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937 ; 1038
Keywords [en]
E-buying, E-shopping, Online shopping, Personality, Regression analysis, Surveys, Dependent variables, Educational attainments, Five-factor model of personality, Internet users, Multiple regression analysis, Representative sample, Electronic commerce
National Category
Business Administration Social Psychology Psychology Communication Studies
Research subject
Individual and Society VIDSOC
Identifiers
URN: urn:nbn:se:his:diva-18195DOI: 10.1007/978-3-030-37858-5_21Scopus ID: 2-s2.0-85078538248ISBN: 978-3-030-37857-8 (print)ISBN: 978-3-030-37858-5 (electronic)OAI: oai:DiVA.org:his-18195DiVA, id: diva2:1392231
Available from: 2020-02-06 Created: 2020-02-06 Last updated: 2022-09-09Bibliographically approved

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Roos, John Magnus

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CiteExportLink to record
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