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Conjoint analysis of drivers and inhibitors of e-commerce adoption

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  • Chaparro-Peláez, Julián
  • Agudo-Peregrina, Ángel F.
  • Pascual-Miguel, Félix J.

Abstract

Since the emergence of electronic commerce, the study of motivations as good predictors of consumers' purchasing behavior collects much of the attention of the literature. However, most studies rely on regression analyses, which have relevant limitations. This study uses fuzzy-set qualitative comparative analysis (fsQCA) to analyze the influence of motivations and barriers on online-shopping behavior from a compilation of 33 motivational and 12 disheartening items of e-commerce as conditions, and purchase behavior as outcome. The empirical analysis uses responses of 817 Internet users to an online questionnaire. The method includes a previous principal component analysis that reduces the number of conditions to 7 motivations (hedonic, product variety, product customization, convenience, price, lack of sociality, and Internet exclusive availability) and 3 barriers (in-person, risk, and delivery). fsQCA offers insight into the knowledge of online shopping drivers and inhibitors, with relevant implications for theory and practitioners.

Suggested Citation

  • Chaparro-Peláez, Julián & Agudo-Peregrina, Ángel F. & Pascual-Miguel, Félix J., 2016. "Conjoint analysis of drivers and inhibitors of e-commerce adoption," Journal of Business Research, Elsevier, vol. 69(4), pages 1277-1282.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:4:p:1277-1282
    DOI: 10.1016/j.jbusres.2015.10.092
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    Cited by:

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    2. Adrian Micu & Angela-Eliza Micu & Marius Geru & Alexandru Capatina & Mihaela-Carmen Muntean, 2021. "The Impact of Artificial Intelligence Use on the E-Commerce in Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 137-137, February.
    3. Wagner, Gerhard & Schramm-Klein, Hanna & Steinmann, Sascha, 2020. "Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment," Journal of Business Research, Elsevier, vol. 107(C), pages 256-270.
    4. Xi Chen & Shaofen Fang & Yujie Li & Haibin Wang, 2019. "Does Identification Influence Continuous E-Commerce Consumption? The Mediating Role of Intrinsic Motivations," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
    5. Tamara Almarabeh & Yousef Kh. Majdalawi, 2019. "Cloud Computing of E-commerce," Modern Applied Science, Canadian Center of Science and Education, vol. 13(1), pages 1-27, January.
    6. Farah Alfanur & Yasuo Kadono, 2020. "Empirical Study Of Purchase Intention And Behavior Of E-Commerce Consumers In Indonesia," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 5(1), pages 20-28, December.
    7. Sascha Kraus & Domingo Ribeiro-Soriano & Miriam Schüssler, 2018. "Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 15-33, March.
    8. Brinkerink, Jasper & Rondi, Emanuela & Benedetti, Carlotta & Arzubiaga, Unai, 2020. "Family business or business family? Organizational identity elasticity and strategic responses to disruptive innovation," Journal of Family Business Strategy, Elsevier, vol. 11(4).
    9. Susanne Feichtinger & Manfred Gronalt, 2021. "The Environmental Impact of Transport Activities for Online and In-Store Shopping: A Systematic Literature Review to Identify Relevant Factors for Quantitative Assessments," Sustainability, MDPI, vol. 13(5), pages 1-23, March.

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