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Technology acceptance model in e-commerce segment

Author

Listed:
  • Fedorko Igor

    (University of Prešov, Prešov, Slovak Republic)

  • Bacik Radovan

    (University of Prešov, Prešov, Slovak Republic)

  • Gavurova Beata

    (Research and Innovation Centre Bioinformatics, TECHNICOM, Kosice, Slovakia; Faculty of Economics, Technical University of Košice8, Košice, Slovak Republic)

Abstract

Consumer behaviour analysis is a key aspect for the success of e-business. The main objective of the study is to analyse the impact of selected user experience factors on e-commerce web site visiting (technology). The objective of the study is to create a model that will explain the impact of each major factor on the user experience and the re-visit of the e-shop. To explain the use of e-commerce technology, in the second part we have modified the original technology acceptance model (TAM) with other constructs. Specifically, there are modern technologies such as social networks or mobile apps that affect the use of e-shops. The TAM model is one of the most used models of what the system uses to identify the perceived usefulness and perceived simplicity of use from the user’ side. For the main advantage of our study, we consider that we have highlighted the importance of the factor of modern technology and therefore of social networks, mobile applications and contextual advertising. This factor, along with the other two factors, has been incorporated into our model and has shown that modern technologies have a direct impact and are therefore directly related to the frequency using the e-commerce websites.

Suggested Citation

  • Fedorko Igor & Bacik Radovan & Gavurova Beata, 2018. "Technology acceptance model in e-commerce segment," Management & Marketing, Sciendo, vol. 13(4), pages 1242-1256, December.
    • Handle: RePEc:vrs:manmar:v:13:y:2018:i:4:p:1242-1256:n:6
    DOI: 10.2478/mmcks-2018-0034
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    References listed on IDEAS

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    1. Mosteller, Jill & Donthu, Naveen & Eroglu, Sevgin, 2014. "The fluent online shopping experience," Journal of Business Research, Elsevier, vol. 67(11), pages 2486-2493.
    2. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    3. Robert Stefko & Richard Fedorko & Radovan Bacik, 2016. "Website Content Quality In Terms Of Perceived Image Of Higher Education Institution," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 13(2), pages 153-163, June.
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    Cited by:

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    2. Muhammad Awais & Tanzila Samin & Muhammad Awais Gulzar & Jinsoo Hwang & Muhammad Zubair, 2020. "Unfolding the Association between the Big Five, Frugality, E-Mavenism, and Sustainable Consumption Behavior," Sustainability, MDPI, vol. 12(2), pages 1-25, January.
    3. Aysen Bakkaloglu & Yavuz Toraman, 2022. "Examining Individuals’ Attitudes Toward Electronic Money in the Framework of the Technology Acceptance Model," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 475-494, July.
    4. Dirsehan, Taşkın & Cankat, Ece, 2021. "Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    5. Jinmin Kim & AhRam Cho & Jaeyoung Kim, 2022. "Effect of the Standardization of Service Platforms for High-Involvement PropTech Services," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    6. Zavera Ioana Coralia, 2020. "The valences of improving the quality of life in the new logic of leadership," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 445-452, July.
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    8. Peter Claeys & Juan Jung & Gonzalo Gómez-Bengoechea, 2024. "Laggards v Leaders: Productivity and Innovation Catchup," Working Papers 2024.01, International Network for Economic Research - INFER.

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