IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2024i1p66-88.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.iki.bas.bg/Journals/EconomicStudies/2024/2024-1/05_Faruk-Ahmeti.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    2. 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.
    3. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    4. Soud M. Almahamid & Amjad F. Tweiqat & Mousa S. Almanaseer, 2016. "University website quality characteristics and success: lecturers' perspective," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(1), pages 41-61.
    5. Radka Bauerová & Martin Klepek, 2018. "Technology Acceptance as a Determinant of Online Grocery Shopping Adoption," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(3), pages 737-746.
    6. Lingming Chen & Md. Salamun Rashidin & Fei Song & Yi Wang & Sara Javed & Jian Wang, 2021. "Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model," SAGE Open, , vol. 11(2), pages 21582440211, June.
    7. Pedro Palos-Sanchez & Jose Ramon Saura & Marisol B. Correia, 2021. "Do tourism applications’ quality and user experience influence its acceptance by tourists?," Review of Managerial Science, Springer, vol. 15(5), pages 1205-1241, July.
    8. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    9. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    10. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    11. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    12. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    13. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    14. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    15. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    16. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    17. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    18. Fang Li & Sheng Zhang & Yuhuan Jin, 2018. "Sustainability of University Technology Transfer: Mediating Effect of Inventor’s Technology Service," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    19. Waqar Younas & K. Ramanathan Kalimuthu, 2021. "Telecom microfinance banking versus commercial banking: a battle in the financial services sector," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(2), pages 67-80, June.
    20. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bas:econst:y:2024:i:1:p:66-88. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.