IDEAS home Printed from https://ideas.repec.org/a/aiy/jnjaer/v24y2025i2p462-490.html
   My bibliography  Save this article

The Impact of Technology on Business in the United Arab Emirates: A Technology Acceptance Model Perspective

Author

Listed:
  • Saira Saira
  • Sheeraz Ali
  • Callistus D. Odeh

Abstract

The rapid embracement of technology in business operations within the United Arab Emirates (UAE) highlights the growing need to understand the determinants of technology adoption. As companies continue to mechanize their processes, it is more critical to explore how employees perceive and utilize these technological systems. The current study examined the impact of technology on UAE companies according to the Technology Acceptance Model (TAM), a widely applied conceptual model for user acceptance. The main objectives were to quantify the influence of perceived usefulness (PU), perceived ease of use (PEU), and attitude towards the system (ATT) on actual system use (ASU). The study postulated that PU and PEU positively influence ASU, whereas ATT's influence can be contingent upon the situation. A quantitative survey was conducted among 100 UAE employees representing various industries through a standardized questionnaire. Data analysis was carried out using SPSS and Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings indicated PEU to be the strongest predictor of ASU (β = 0.781, p

Suggested Citation

  • Saira Saira & Sheeraz Ali & Callistus D. Odeh, 2025. "The Impact of Technology on Business in the United Arab Emirates: A Technology Acceptance Model Perspective," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 24(2), pages 462-490.
  • Handle: RePEc:aiy:jnjaer:v:24:y:2025:i:2:p:462-490
    DOI: https://doi.org/10.15826/vestnik.2025.24.2.016
    as

    Download full text from publisher

    File URL: https://journalaer.ru//fileadmin/user_upload/site_15934/2025/04_Saira_Ali_Odekh.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.15826/vestnik.2025.24.2.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Iyanna, Shilpa & Kaur, Puneet & Ractham, Peter & Talwar, Shalini & Najmul Islam, A.K.M., 2022. "Digital transformation of healthcare sector. What is impeding adoption and continued usage of technology-driven innovations by end-users?," Journal of Business Research, Elsevier, vol. 153(C), pages 150-161.
    2. Nora Hampel & Kai Sassenberg & Annika Scholl & Matthias Reichenbach, 2022. "Introducing digital technologies in the factory: determinants of blue-collar workers’ attitudes towards new robotic tools," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(14), pages 2973-2987, October.
    3. Nurul-Ain Abdul-Halim & Ali Vafaei-Zadeh & Haniruzila Hanifah & Ai Ping Teoh & Khaled Nawaser, 2022. "Understanding the determinants of e-wallet continuance usage intention in Malaysia," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3413-3439, October.
    4. Abdalwali Lutfi & Adi Alsyouf & Mohammed Amin Almaiah & Mahmaod Alrawad & Ahmed Abdullah Khalil Abdo & Akif Lutfi Al-Khasawneh & Nahla Ibrahim & Mohamed Saad, 2022. "Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs," Sustainability, MDPI, vol. 14(3), pages 1-17, February.
    5. 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.
    6. Deddy Eduar Eka Saputra & Vera Maulida Rahma & Anis Eliyana & Andika Setia Pratama & Rachmawati Dewi Anggraini & Nurul Liyana Mohd Kamil & Izlin Ismail, 2023. "Do system quality and information quality affect job performance? The mediation role of users’ perceptions," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-16, June.
    7. Céline Péréa & Jessica Gérard & Julien de Benedittis, 2023. "Digital sobriety: From awareness of the negative impacts of IT usages to degrowth technology at work," Post-Print emse-04116949, HAL.
    8. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    9. Maja Rožman & Dijana Oreški & Polona Tominc, 2023. "Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    10. Jina Kim & Eunil Park, 2022. "Understanding social resistance to determine the future of Internet of Things (IoT) services," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(3), pages 547-557, February.
    11. Meennapa Rukhiran & Sethapong Wong-In & Paniti Netinant, 2023. "User Acceptance Factors Related to Biometric Recognition Technologies of Examination Attendance in Higher Education: TAM Model," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    12. Rafael Martínez-Peláez & Alberto Ochoa-Brust & Solange Rivera & Vanessa G. Félix & Rodolfo Ostos & Héctor Brito & Ramón A. Félix & Luis J. Mena, 2023. "Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    13. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    14. Ali Abdallah Alalwan & Abdullah M. Baabdullah & Abdulla Hamad M. A. Fetais & Raed S. Algharabat & Ramakrishnan Raman & Yogesh K. Dwivedi, 2024. "SMEs entrepreneurial finance-based digital transformation: towards innovative entrepreneurial finance and entrepreneurial performance," Venture Capital, Taylor & Francis Journals, vol. 26(4), pages 401-429, October.
    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. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    2. 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.
    3. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    4. Shaik, Aqueeb Sohail & Nazrul, Asif & Alshibani, Safiya Mukhtar & Agarwal, Vaishali & Papa, Armando, 2024. "Environmental and economical sustainability and stakeholder satisfaction in SMEs. Critical technological success factors of big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    5. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).
    6. Sarker, Prianka & Hughes, Laurie & Malik, Tegwen & Dwivedi, Yogesh K., 2025. "Examining consumer adoption of social commerce: An extended META-UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    7. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    9. Darja Topolšek & Dario Babić & Darko Babić & Tina Cvahte Ojsteršek, 2020. "Factors Influencing the Purchase Intention of Autonomous Cars," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    10. Ji-Hye Kim & Eungoo Kang, 2023. "An Empirical Research: Incorporation of User Innovativeness into TAM and UTAUT in Adopting a Golf App," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    11. Janarthanan Balakrishnan & Yogesh K. Dwivedi & Laurie Hughes & Frederic Boy, 2024. "Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model," Information Systems Frontiers, Springer, vol. 26(3), pages 921-942, June.
    12. Alex Mari & Andreina Mandelli & René Algesheimer, 2023. "Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes," Working Papers 399, University of Zurich, Department of Business Administration (IBW).
    13. Ivan Ðula & Tabea Berberena & Ksenia Keplinger & Maria Wirzberger, 2024. "From challenges to opportunities: navigating the human response to automated agents in the workplace," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    14. Lai-Ying Leong & Teck-Soon Hew & Keng-Boon Ooi & Bhimaraya Metri & Yogesh K. Dwivedi, 2023. "Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1847-1879, October.
    15. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    16. Kalisz, David E., 2025. "Drivers of artificial intelligence integrated healthcare applications. Patients' perspective," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
    17. Konstantinos Dendrinos & George Spais, 2024. "An investigation of selected UTAUT constructs and consumption values of Gen Z and Gen X for mobile banking services and behavioral intentions to facilitate the adoption of mobile apps," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 492-522, September.
    18. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    19. Paul Stefan MARKOVITS, 2024. "Assesing Romanian Farmers’ Motivation For Digitalization: A Unified Theory Of Acceptance And Usage Of Technology (Utaut) Based Research Model," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 9(1), pages 98-112, March.
    20. Wenxiang Zhang & Saeed Siyal & Samina Riaz & Riaz Ahmad & Mohd Faiz Hilmi & Zhi Li, 2023. "Data Security, Customer Trust and Intention for Adoption of Fintech Services: An Empirical Analysis From Commercial Bank Users in Pakistan," SAGE Open, , vol. 13(3), pages 21582440231, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    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:aiy:jnjaer:v:24:y:2025:i:2:p:462-490. 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: Natalia Starodubets (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.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.