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Exploring the Impact of Technology Acceptance Model Constructs on Consumer Behavior in SMEs: with A focus on E-Marketing Strategies

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Listed:
  • Faruk Ahmeti
  • Hykmete Bajrami

Abstract

In today’s competitive digital landscape, where the Internet has become an integral part of people's daily lives, it is crucial to prioritize user experience and satisfaction, particularly when it comes to web pages. This study seeks to elucidate the importance of specific elements of the TAM model concerning user behaviour in the realm of web design. Using an exploratory approach, the study employed an anonymous questionnaire (utilizing a Likert scale) to gather data from website users. The research sample's adequacy was assessed using Cronbach's alpha and Kaiser-Meyer-Olkin (with 148 respondents), by identifying factors impacting user behaviour, such as website content quality (including the quality and availability of information), and design quality (including appearance, website findability, navigation, and access/usability). Additionally, the study investigated perceived usefulness, ease of use, and attitude toward website use. Pearson correlation coefficients were used to calculate values, and the lower triangle method was utilized to determine the resulting coefficient values. Analysis revealed that website usability and page orientation did not have a significant impact on actual website usage. The study outcome has produced a model that can determine the influence of specific factors on user behaviour concerning their overall user experience.

Suggested Citation

  • Faruk Ahmeti & Hykmete Bajrami, 2024. "Exploring the Impact of Technology Acceptance Model Constructs on Consumer Behavior in SMEs: with A focus on E-Marketing Strategies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 66-88.
    • Handle: RePEc:bas:econst:y:2024:i:1:p:66-88
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    References listed on IDEAS

    as
    1. Faruk Ahmeti & Burim Prenaj, 2022. "Determinants Affecting Consumer Acceptance and Adoption of Internet Banking in Developing Countries: The case study of Kosovo," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 60-79.
    2. Muhammad Ilyas & Arif ud din & Muhammad Haleem & Irshad Ahmad, 2023. "Digital entrepreneurial acceptance: an examination of technology acceptance model and do-it-yourself behavior," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-19, December.
    3. 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.
    4. Gounaris, Spiros & Koritos, Christos & Vassilikopoulou, Katerina, 2010. "Person-place congruency in the Internet Banking context," Journal of Business Research, Elsevier, vol. 63(9-10), pages 943-949, September.
    5. Jorge Arenas-Gaitán & Borja Sanz-Altamira & Patricio E. Ramírez-Correa, 2019. "Complexity of Understanding Consumer Behavior from the Marketing Perspective," Complexity, Hindawi, vol. 2019, pages 1-3, January.
    6. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    7. Szabolcs Nagy & Noemi Hajdu, 2021. "Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence From Hungary," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 155-155, February.
    8. Zhang Ying & Zeng Jianqiu & Umair Akram & Hassan Rasool, 2021. "TAM Model Evidence for Online Social Commerce Purchase Intention," Information Resources Management Journal (IRMJ), IGI Global, vol. 34(1), pages 86-108, January.
    9. Aversa, Joseph & Hernandez, Tony & Doherty, Sean, 2021. "Incorporating big data within retail organizations: A case study approach," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
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    More about this item

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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