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Effect of Culture, Age, and Language on Quality of Services and Adoption of IP Applications

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Abstract

Mobile phones with applications on Internet Protocol (IP) can be seen almost in anyplace and anytime at present. This enables development of new types of applications for various user segments, using smart phones as user devices. Different people around the world have different needs to suit their personal and cultural tastes. A better understanding of quality of service (QoS) will help enhance adoption and use of IP technology. Although there are many recent research related to adoption of new information technology application, there were only a few study related to user perception of QoS. This study proposed factors that can be used as dimensions for assessment of perception of QoS (QOS) of IP application by users with different human centric factors. The proposed perceived QOS includes 3 dimensions; culture, ageing, and language. Cultural dimensions in this research include Power Distance, Individualism, Masculinity, and Uncertainty Avoidance. Ageing dimensions cover expectancy of knowledge, experience, and physical degradation. Two more dimensions related to ability to notice and coping with unexpected events are also used as assessment dimensions. Language dimensions are language visibility and speech intelligibility. With the proposed perceived QOS, application developers can identify features and quality required by users with different culture, ageing and language. Besides, the proposed dimensions can also be used for predicting user adoption of new IP application among different groups of users.

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References

  1. Dixit, S., Ojanpera, T., Nee, V. R., Prasad, R., et al. (2011). Chapter 1. Introduction to globalization of mobile and wireless communications today and in 2020. In R. Prasad (Ed.), Globalization of mobile and wireless communications: Today and in 2020, signals and communication technology (pp. 1–8). Berlin: Springer.

    Chapter  Google Scholar 

  2. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioural impacts. International Journal of Man-Machine Studies, 38, 475–487.

    Article  Google Scholar 

  3. Papasratorn, B. (2010). Mobile broadband application framework for e-Government services for aging society. The Asia-Pacific Telecommunity (APT) workshop on e-Application/e-Government, Bangkok, Thailand.

  4. Han, L., & Jin, Y. (2009). A review of technology acceptance model in the e-commerce environment. In Proceeding of international conference on management of e-Commerce and e-Government (ICMECG) (pp. 28–31). Nanchang, China.

  5. Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology and Society, 12(3), 150–162.

    Google Scholar 

  6. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  7. Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Google Scholar 

  8. ITU-T Recommendation E.800 (08/94). Terms and definitions related to quality of service and network performance including dependability.

  9. Wu, Y., Tao, Y., & Yang, P. (2007). Using UTAUT to explore the behavior of 3G mobile communication users. In Proceedings of the international conference on industrial engineering and engineering management (IEEM) (pp. 199–203). Singapore.

  10. Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998). Understanding the influence of national culture on the development of trust. Academy of Management Review, 23, 601–620.

    Google Scholar 

  11. Taylor, V., & Whittier, N. (1995). Analytical approaches to social movement culture: The culture of the women’s movement. In H. Johnston & B. Klandermans (Eds.), Social movements and culture (pp. 163–187). Minneapolis: University of Minnesota Press.

    Google Scholar 

  12. Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations (2nd ed.). Thousand Oaks, CA: SAGE Publications.

    Google Scholar 

  13. Lim, K., Leung, K., Sia, C. L., & Lee, M. (2004). Is e-commerce boundary-less? Effects of individualism-collectivism and uncertainty avoidance on internet shopping. Journal of International Business Studies, 35, 545–559.

    Article  Google Scholar 

  14. Cyr, D., & Trevor-Smith, H. (2004). Localization of web design: An empirical comparison of German, Japanese, and US website characteristics. Journal of the American Society for Information Science and Technology, 55(13), 1199–1208.

    Article  Google Scholar 

  15. Asano, Y., Yonemura, S., Hayashi, A., & Hashimoto, R. (2011). ICT service design for senior citizens based on aging characteristics. NTT Technical Review, 9(9), 1–5.

    Google Scholar 

  16. Hanson, V. L. (2009). Age and web access: The next generation. In Proceedings of the international cross-disciplinary conference on web accessibility (W4A) (pp. 7–15). Madrid, Spain.

  17. Kovalchik, S., Camerer, C. F., Grether, D. M., Plott, C. R., & Allman, J. M. (2005). Aging and decision making: A comparison between neurologically healthy elderly and young individuals. Journal of Economic Behavior and Organization, 58(1), 79–94.

    Article  Google Scholar 

  18. Bhat, S., Bevans, M., & Sengupta, S. (2002). Measuring users’ web activity to evaluate and enhance advertising effectiveness. Journal of Advertising, 31(3), 97–106.

    Google Scholar 

  19. Friedman-Berg, F., Allendoerfer, K., & Deshmukh, A. (2009). Voice over internet protocol: Speech intelligibility assessment (DOT/FAA/TC-TN-09/04). Atlantic City International Airport, NJ: Federal Aviation Administration William J. Hughes Technical Center.

    Google Scholar 

  20. Schmandt, C., Kim, J., Lee, K., Vallejo, G., & Ackerman, M. (2002). Mediated voice communication via mobile IP. In Proceedings of the 15th annual ACM symposium on user interface software and technology (UIST) (pp. 141–150). New York, USA.

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Acknowledgments

The authors appreciate all comments and suggestions from the reviewers that help making the paper better. We also thank the editor of this journal for valuable suggestions. This work was supported by the Higher Education Research Promotion and National Research University Project of Thailand, Office of the Higher Education Commission.

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Correspondence to Sunisa Sathapornvajana.

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Sathapornvajana, S., Papasratorn, B. Effect of Culture, Age, and Language on Quality of Services and Adoption of IP Applications. Wireless Pers Commun 69, 1067–1075 (2013). https://doi.org/10.1007/s11277-013-1066-3

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  • DOI: https://doi.org/10.1007/s11277-013-1066-3

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