IDEAS home Printed from https://ideas.repec.org/a/cmk/journl/y2014p15-23.html
   My bibliography  Save this article

Empirical Evidence Of Success Factors For Mobile Commerce Adoption In The Republic Of Macedonia Using Tam-Model

Author

Listed:
  • Saso Josimovski

    (Faculty of Economics, Ss. Cyril and Methodius University in Skopje, Macedonia)

  • Dimitar Jovevski

    (Faculty of Economics, Ss. Cyril and Methodius University in Skopje, Macedonia)

  • Lidija Pulevska Ivanovska

    (Faculty of Economics, Ss. Cyril and Methodius University in Skopje, Macedonia)

  • Vaska Cobanova

    (Faculty of Economics, Ss. Cyril and Methodius University in Skopje, Macedonia)

Abstract

- Mobile commerce (MC) is a relatively new service for Macedonian consumers and is about to be more broadly introduced on the Macedonian market. This paper aims to clarify the concept and the key factors that affect successful adoption of mobile commerce in the Republic of Macedonia. This is done through research on the acceptance of MC and its actual use. Based on previous surveys and theories, the Technology Acceptance Model (TAM) is used alongside other factors in order to determine the adoption of mobile commerce. From the research of different theories, a conceptual model was developed based on the TAM-model. In terms of the research results it can be concluded that usefulness, ease of use and risk have direct influence on the attitude toward use, and also that these factors influence the actual use of the technology. In other words, it was proven that six out of seven factors are relevant for a successful adoption of mobile commerce in the Republic of Macedonia

Suggested Citation

  • Saso Josimovski & Dimitar Jovevski & Lidija Pulevska Ivanovska & Vaska Cobanova, 2014. "Empirical Evidence Of Success Factors For Mobile Commerce Adoption In The Republic Of Macedonia Using Tam-Model," Journal Articles, Center For Economic Analyses, pages 15-23, December.
    • Handle: RePEc:cmk:journl:y:2014:p:15-23
    as

    Download full text from publisher

    File URL: http://journal.cea.org.mk/files/journals/1/articles/17/public/17-66-1-PB.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gordon Xu & Jairo A. Gutierrez, 2006. "An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 4(3), pages 63-79, July.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Buellingen, Franz & Woerter, Martin, 2004. "Development perspectives, firm strategies and applications in mobile commerce," Journal of Business Research, Elsevier, vol. 57(12), pages 1402-1408, December.
    4. 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.
    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. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    2. 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.
    3. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    4. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    5. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    6. Fox, Stephen & Groesser, Stefan N., 2016. "Reframing the relevance of research to practice," European Management Journal, Elsevier, vol. 34(5), pages 457-465.
    7. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    8. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    9. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    10. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    11. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    13. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    14. Pan Gong & Ningshuang Zeng & Kunhui Ye & Markus König, 2019. "An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    15. Cabrera-Sánchez, Juan-Pedro & Villarejo-Ramos, à ngel F., 2020. "Acceptance and use of big data techniques in services companies," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    16. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    17. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    18. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    19. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.
    20. repec:aud:audfin:v:20:y:2018:i:48:p:373 is not listed on IDEAS
    21. Herman Fassou Haba & Omkar Dastane, 2018. "An Empirical Investigation on Taxi Hailing Mobile App Adoption: A Structural Equation Modelling," Business Management and Strategy, Macrothink Institute, vol. 9(1), pages 48-72, December.

    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:cmk:journl:y:2014:p:15-23. 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: Marjan Nikolov (email available below). General contact details of provider: https://edirc.repec.org/data/ceaskmk.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.