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Cross-Cultural Design of a Groupware Application for Global Virtual Team

05 Dec 2020
  • Rein Suadamara
    • 1
  • Stefan Werner
    • 1
  • Axel Hunger
    • 1
  1. 1.Institute of Computer EngineeringUniversity Duisburg-EssenDuisburgGermany

Abstract

The need for supportive and reliable collaborative application is critical; it is also the need for many organizational supports. This paper reports about on-going research on how culture influence should be applied as a requirement when designing a synchronous groupware application as an intercultural collaboration tools aimed for global virtual team which consist of multicultural users. It will try to analyze how culture influences the way users prefer to interact using a groupware. Individuals are conditioned by their culture, therefore in this study we propose to extend Technology Acceptance Model so that we can understand the mechanism by which cultural differences could explain user’s behavior toward the acceptance to a groupware application as a remote collaboration tool for global virtual team.

Keywords

Cross-cultural design groupware HCI globalization global virtual team 

References

  1. 1.
    Casey, V.: Imparting the importance of culture to global software development. ACM Inroads 1(3), 51–57 (2010)CrossRefGoogle Scholar
  2. 2.
    Evers, V., Day, D.: The role of culture in interface acceptance. In: Howard, S., Hammond, J., Lindgaard, G. (eds.) Human-Computer Interaction INTERACT 1997, Sydney (1997)Google Scholar
  3. 3.
    Werner, S.: Synchrone Groupware für die Software-Engineering-Ausbildung. Universität Duisburg-Essen (2003)Google Scholar
  4. 4.
    Adams, D., Nelson, R., Todd, P.: Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly 16(2), 227–247 (1992)CrossRefGoogle Scholar
  5. 5.
    Szajna-Bernadette, P.: Empirical evaluation of the revised technology acceptance model. Management Science 42(1), 85–92 (1996)CrossRefGoogle Scholar
  6. 6.
    Davis, F., Bagozzi, R., Warshaw, P.: User Acceptance of Computer Technology: A Comparisson of Two Theoretical Models. Management Science 35, 982–1003 (1989)CrossRefGoogle Scholar
  7. 7.
    Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of Information Technology. MIS Quarterly 13, 319–340 (1989)CrossRefGoogle Scholar
  8. 8.
    Selim, H.: An empirical investigation of student acceptance of course website. Computers and Education 40, 343–360 (2003)CrossRefGoogle Scholar
  9. 9.
    Vatrapu, R.: Cultural Usability in Computer Supported Collaboration. ACM, New York (2004)Google Scholar
  10. 10.
    Cagiltay, K.: Culture and its effects on human computer interaction. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications (1999)Google Scholar
  11. 11.
    Bollen, K.: Structural equations with latent variables. Wiley, New York (1989)CrossRefzbMATHGoogle Scholar
  12. 12.
    Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1), 39–50 (1981)CrossRefGoogle Scholar
  13. 13.
    Anderson, J., Gerbing, D.: Structural equation modelling in practice: a review and recommended two-step approach. Psychological Bulletin 103(3), 227–247 (1998)Google Scholar
  14. 14.
    Yoo, Y.: Predicting Groupware Usage. In: IEEE 31st Annual Hawaii International Conference on System Science, pp. 510–517 (1998)Google Scholar
  15. 15.
    Klopping, I.M., McKinney, E.: Extending the Technology Acceptance Model and Task-Technology Fit Model to Consumer E-Commerce. Information Technology, Learning and Performance Journal 22(1) (2004)Google Scholar
  16. 16.
    Lin, J., Lu, H.: Towards an understanding of the behavioral intention to use a website. International Journal of Information Management 20(3), 197–208 (2000)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Lederer, A., Maupin, D., Sena, M., Zhuang, Y.: The technology acceptance model and the World Wide Web. Decision Support Systems 29(3), 269–282 (2000)CrossRefGoogle Scholar
  18. 18.
    Gefen, D., Straub, D.: The relative importance of perceived ease-of-se in IS adoption: A study of e-commerce adoption. Journal of teh Association for Information System 1(8), 1–21 (2000)Google Scholar
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