The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
User Acceptance of Computer Technology at Work in Arabian Culture: A Model Comparison Approach
Abstract
User acceptance of computer technology in work environments could differ from that of general consumer contexts. Toward that end, cultural considerations could affect individuals' behaviors, including their technology acceptance. This study analyzes the acceptance of computer technology by 1,088 workers in an Arabian country to reexamine and compare established models and theories to prior studies in the Western, developed countries. The explanatory power of each theory or model seems lower among Arabian workers. The innovation diffusion theory (IDT) appears capable of explaining workers' technology acceptance better than the theory of planned behavior (TPB) or technology acceptance model (TAM) does. Perceived behavioral control and subjective norms constitute more important acceptance determinants than attitude does. Both perceived usefulness and perceived ease of use remain significant determinants of attitude and intention; however, considering findings reported by previous research, their total effects are comparable in magnitude and statistical significance. The findings are incongruent with the results of several representative prior studies that examine the same theories and models. The results can be partially explained by the unique socio-cultural characteristics and overall technology development status of the country. In turn, these results offer several implications for studying worker's technology acceptance in developing countries with a unique cultural context.
Related Content
Rekha Mewafarosh, Shivani Agarwal, Deeksha Dwivedi.
© 2024.
15 pages.
|
Rishi Prakash Shukla.
© 2024.
9 pages.
|
Priya Makhija, Megha Kukreja, R. Thanga Kumar.
© 2024.
11 pages.
|
Balraj Verma, Niti Chatterji.
© 2024.
18 pages.
|
Peterson K. Ozili.
© 2024.
17 pages.
|
Animesh Kumar Sharma, Rahul Sharma.
© 2024.
20 pages.
|
Mohammad Badruddoza Talukder, Firoj Kabir, Fahmida Kaiser, Farhana Yeasmin Lina.
© 2024.
20 pages.
|
|
|