You are here:

Educational Technology Acceptance across Cultures: A Validation of the Unified Theory of Acceptance and Use of Technology in the Context of Turkish National Culture
ARTICLE

, , ,

Turkish Online Journal of Educational Technology Volume 11, Number 4, ISSN 1303-6521

Full Text

Abstract

The Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh et al., 2003, 2012) proposes a major model of educational technology acceptance (ETA) which has been yet validated only in few languages and cultures. Therefore, this study aims at extending the applicability of UTAUT to Turkish culture. Based on acceptance and cultural data from a large sample (N = 1723) of Turkish educational technology users of diverse profession, geographical location, age and gender, the UTAUT questionnaire displays good convergent and discriminant validity. Structural equations modeling confirms the model validity. Cross-cultural differences are explored within Turkey both between regions (Istanbul area vs. other regions) and between professional cultures (STEM, i.e. science, mathematics, engineering and mathematics, vs. non-STEM professions). The comparison uses measurement results from other European countries as a reference. Conclusions are drawn with respect to UTAUT applicability in educational practice, and to interconnections between ETA and culture. (Contains 10 tables and 3 figures.)

Citation

Gogus, A., Nistor, N., Riley, R.W. & Lerche, T. (2012). Educational Technology Acceptance across Cultures: A Validation of the Unified Theory of Acceptance and Use of Technology in the Context of Turkish National Culture. Turkish Online Journal of Educational Technology, 11(4), 394-408. Retrieved August 14, 2024 from .

This record was imported from ERIC on April 18, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

References

View References & Citations Map
  1. Ajzen, I. & Fishbein, M. (2000). Attitudes and the attitude-behaviour relation: Reasoned and automatic processes. European Review of Social Psychology, 11, 1-33.
  2. Aydin, C.H. & McIsaac, M.S. (2004). The Impact of Instructional Technology in Turkey. Educational Technology Research & Development, 52(1), 105-112.
  3. Bagozzi, R.P. (2007). The legacy of the Technology Acceptance Model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 4 (3), 244-254.
  4. Barnett, G.A. & Sung, E. (2006). Culture and the structure of the international hyperlink network. Journal of Computer-Mediated Communication, 11 (2), 217-238.
  5. Barton, S. (2010). Social and cultural factors that influence the uptake of e-learning: case studies in Malaysia, Indonesia, Turkey, Singapore and Australia. PhD Thesis. Melbourne: School of Business Information Technology, RMIT University.
  6. Beaudry, A. & Pinsonneault, A. (2010). The other side of acceptance: Studying the direct and indirect effects of emotions on information technology use. MIS Quarterly, 34 (4), 689-710.
  7. Bentler, P.M. & Weeks, D.G. (1980). Linear structural equations with latent variables. Psychometrika, 45 (3), 289-308.
  8. Bollen, K.A. (1989). Structural equations with latent variables. New York: Wiley.
  9. Bonnett, A. (2002). Makers of the West: national identity and occidentalism in the work of Fukuzawa Yukichi and Ziya Gökalp. Scottish Geographical Magazine, 118 (3), 165-182.
  10. Çağlar, M. & Demirok, M.S. (2010). Students’ computer skills in faculty of education. Cypriot Journal of Educational Sciences, 5 (3), 203-211.
  11. Conti-Ramsden, G., Durkin, K. & Walker, A. (2010). Computer anxiety: A comparison of adolescents with and without a history of specific language impairment (SLI). Computers & Education, 54 (1), 136-145.
  12. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
  13. Deci, E.L. & Ryan, R.M. (2000). The „what?“ and „why?“ of goal pursuits: Human needs and the selfdetermination of behavior. Psychological Inquiry, 11 (4), 227-268.
  14. Gök, B. & Erdoğan, T. (2010). Investigation of pre-sercive teachers’ perceptions about concept of technology through metaphor analysis. Turkish Online Journal of Educational Technology, 9 (2), 145-160.
  15. Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations. Thousand Oaks, CA: Sage.
  16. Hofstede, G. (2012). VSM 94. Online available at http://www.geerthofstede.nl/vsm-94 (last download: September 20, 2012)
  17. Hu, L. & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6 (1), 1-55.
  18. Im, I., Kim, Y. & Han, H.J. (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Information & Management, 45, 1-9.
  19. Leidner, D.E. & Kayworth, T. (2006). A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30 (2), 357-399.
  20. Li, D., Chau, P.Y.K. & Van Slyke, C. (2010). A comparative study of individual acceptance of instant messaging in the US and China: A structural equation modeling approach. Communications of the Association for Information Systems, 26 (5), 85-106.
  21. Li, N. & Kirkup, G. (2007). Gender and cultural differences in Internet use: A study of China and the UK. Computers & Education, 48, 301-317.
  22. Liu, S. (2012). The impact of forced use on customer adoption of self-service technologies. Computers in Human Behavior, 28 (4), 1194-1201.
  23. Mulaik, S. & Millsap, R.E. (2000). Doing the four-step right. Structural Equation Modeling, 7 (1), 36-73. Nistor, N. (under review). The evolution of acceptance and participation in online university courses: Changing perspectives from Information Systems towards Instructional Design. Copyright © The Turkish Online Journal of Educational Technology TOJET: The Turkish Online Journal of Educational Technology – October 2012, volume 11 Issue 4
  24. Nistor, N., Dehne, A. & Drews, F.T. (2010). Mass customization of teaching and training in organizations. Design principles and prototype evaluation. Studies in Continuing Education, 32 (3), 251-267.
  25. Nistor, N., Wagner, M., Istvánffy, E. & Dragotă, M. (2010). The Unified Theory of Acceptance and Use of Technology: Verifying the model from a European perspective. International Journal of Knowledge and Learning, 6 (2-3), 185-199.
  26. Özdemir, S. & Kılıc, E. (2007). Integrating information and communication technologies in the Turkish primary school system. British Journal of Educational Technology, 38 (5), 907-916.
  27. Parnell, J.A., Koseoglu, M.A. & Dent, E.B. (2012). Propensity for participative decision making (PPDM) in Turkey and the USA. International Journal of Business Excellence, 5 (3), 278-304.
  28. Podsakoff, P.M., MacKenzie, S.B. & Podsakoff, N.P. (2012). Sources of method bias in social science research and recommendations how to control it. Annual Review of Psychology, 63, 539-569.
  29. Pynoo, B., Tondeur, J., Braak, J., Duyck, W., Sijnave, B. & Duyck, P. (2012). Teachers’ acceptance and use of an educational portal. Computers & Education, 58, 1308-1307.
  30. Ramayah, T. (2010). The role of voluntariness in distance education students usage of a course website. Turkish Online Journal of Educational Technology, 9 (3), 96-105.
  31. Schaupp, L.C., Carter, L. & McBride M.E. (2010). E-file adoption: A study of U.S. Taxpayers’ intentions. Computers in Human Behavior, 26 (4), 636–644.
  32. Schein, E.H. (2004). Organizational culture and leadership. San Francisco, CA: John Wiley.
  33. Şerefoğlu Henkoğlu, H. & Yıldırım, S. (2012). Computer education in Turkish basic education schools: gaps between policy and practice. Ankara University Journal of Faculty of Educational Sciences, 45 (1), 2361.
  34. Straub, E.T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79 (2), 625-649.
  35. Šumak, B., Heričko, M. & Pušnik, M. (2011). A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior, 27 (6), 2067–2077.
  36. Teo, T., Luan, W.S., & Sing, C.C. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: an application of the Technology Acceptance Model (TAM). Educational Technology & Society, 11 (4), 265-280.
  37. Turan, I. (2010). Student readiness for technology enhanced history education in Turkish high schools. Cypriot Journal of Educational Sciences, 5 (2), 94-106.
  38. Veltri, N. & Elgarah, W. (2009). The role of national culture in social networking adoption. In C.F. Rogers & Y.C. Chen (Eds.), Proceedings of the 12th Annual Conference of the Southern Association for Information Systems (pp. 169-174). Statesboro, GA: Georgia Southern University. Online available at
  39. 2011)Venkatesh, V. & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39 (2), 273-315.
  40. Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 (2), 186-204
  41. Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27 (3), 425-478.
  42. Venkatesh, V., Thong, J.Y.L. & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36 (1), 157-178.
  43. Venkatesh, V. & Zhang, X. (2010). The Unified Theory of Acceptance and Use of Technology: U.S. Vs. China. Journal of Global Information Technology Management, 13 (1), 5-27.
  44. Wang, P. (2010). Chasing the hottest IT: Effects of information technology fashion on organisations. MIS Quarterly, 34 (1), 63-85.
  45. Yurdakul, I.K. (2011). An evaluative case study on professional competency of preservice information technology teachers. Turkish Online Journal of Educational Technology, 10 (3), 33-53.
  46. Zakour, A.B. (2007). Information technology acceptance across cultures. In W.K. Law (Ed.), Information resources management: global challenges (pp. 25-53). Hershey, PA: Idea.

These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.

Suggest Corrections to References

Links