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Extended model of mobile shopping acceptance: An empirical study of consumer behaviour

Author

Listed:
  • Robert Stefko

    (University of Presov in Presov)

  • Beata Gavurova

    (Tomas Bata University in Zlín)

  • Maria Olearova

    (University of Presov in Presov)

  • Radovan Bacik

    (University of Presov in Presov)

  • Lubomir Nebesky

    (Ministry of Education, Science, Research and Sport of Slovak Republic)

Abstract

Although the popularity of mobile commerce is on the rise, mobile shopping is still not widely accepted in Slovakia. Therefore, research and knowledge in this area is insufficient. Based on two research models which explain human behavior (theory of reasoned action) and how the user accepts new technologies (technology acceptance model), the presented study proposes and tests a conceptual model combining the mentioned models and new, stimulating factors (customized offers and price benefits) in order to design a holistic model for predicting consumer behavior with regard to the acceptance of mobile shopping. In the first step of the research, we used exploratory factor analysis (EFA) to extract the predicted factors and verify the validity and reliability of the research tool – a questionnaire. The main research was conducted on a sample of 627 students from Slovak universities (part-time study). Using the confirmatory factor analysis (CFA), we performed a measurement model evaluation, and then, using the structural equation modeling – partial least squares (SEM – PLS) method, we evaluated and quantified the expected effects of the investigated factors. These new, stimulating factors, integrated into the theoretical framework of existing models, have been shown to act as direct and indirect predictors of the intention to mobile shopping. However, perceived usefulness proved to be the strongest predictor. The intention to mobile shopping is also significantly influenced by the attitude to mobile shopping, which is also determined by the new factor customized offers. The results the research arrives at may be beneficial for businesses, as they may reduce the costs associated with the creation of mobile shopping channels from an economic point of view and may increase their market competitiveness.

Suggested Citation

  • Robert Stefko & Beata Gavurova & Maria Olearova & Radovan Bacik & Lubomir Nebesky, 2023. "Extended model of mobile shopping acceptance: An empirical study of consumer behaviour," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(4), pages 148-166, December.
    • Handle: RePEc:bbl:journl:v:26:y:2023:i:4:p:148-166
    DOI: 10.15240/tul/001/2023-5-002
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    References listed on IDEAS

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    1. Rouibah, Kamel & Abbas, Hasan & Rouibah, Samia, 2011. "Factors affecting camera mobile phone adoption before e-shopping in the Arab world," Technology in Society, Elsevier, vol. 33(3), pages 271-283.
    2. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    3. Han Yu & Rong Zhang & Bin Liu, 2018. "Analysis on Consumers’ Purchase and Shopping Well-Being in Online Shopping Carnivals with Two Motivational Dimensions," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    4. Lorena Blasco-Arcas & Blanca I. Hernandez-Ortega & Julio Jimenez-Martinez, 2014. "Collaborating online: the roles of interactivity and personalization," The Service Industries Journal, Taylor & Francis Journals, vol. 34(8), pages 677-698, May.
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    Cited by:

    1. Suzana Djukic & Jelena Stankovic, 2024. "The influence of the Big Five, WOM communication and satisfaction on consumer loyalty in the Republic of Serbia," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 27(4), pages 211-229, December.

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    More about this item

    Keywords

    Technology acceptance model (TAM); theory of reasoned action (TRA); mobile shopping; mobile commerce; customer behaviour;
    All these keywords.

    JEL classification:

    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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