Abstract
This study examined the differences in the influence of closeness relationships between younger participants and older participants in the innovation diffusion process. Findings were as follows: (1) During the awareness stage, younger participants and older participants did not show significant differences under influences of age, while during the trial and acceptance stages, older participants showed higher intention on trial and acceptance of phones than younger participants. (2) Under the interactive influences of age and closeness relationship, the results were different. (3) For younger participants who paid close attention to the technology development of phones, if they had a high closeness relationship with the referrer, some factors influencing their purchase would become less important. (4) Older participants’ reaction to the behaviors of their children, such as playing with phones and no communication with them, was related to older participants’ living situations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lee, M.K.O., Cheung, C.M.K., Chen, Z.H. 2005. Acceptance of Internet-based learning medium: the role of extrinsic and intrisic motivation, Iformation & Management, 42(8), pp. 1095-1104.
Rogers, E. M. 2003. Diffusion of Innovations, 5th Ed. The Free Press, New York.
Peres, R., Muller, E., Mahajan, V. 2010. Innovation diffusion and new product growth models: A critical review and research directions, International Journal of Research in Marketing, 27 (2), pp. 91-106.
Bove, L. L., & Johnson, L. W. 2001. Customer relationships with service personnel: do we measure closeness, quality or strength? Journal of Business Research, 54(3), pp. 189-197.
Thompson R L, Higgins C A. 1991. Personal Computing: Toward a Conceptual Model of Utilization, MIS Quarterly, 15(1), pp 125-143.
Igbaria, M., Parasuraman, S., & Baroudi, J. J. 1996. A motivational model of microcomputer usage, Journal of management information systems, pp.127-143.
Ajzen I. 1975. Belief, attitude, intention, and behavior: an introduction to theory and research, Research.
Ajzen, I. 1985. From intentions to actions: A theory of planned behavior, Action control: From cognition to behavior, pp. 11-39.
Moore, G. C., &Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation, Information Systems Research, 2(3), pp. 192-222.
Mazer, J. P., Murphy, R. E., & Simonds, C. J. 2007. I’ll see you on‘‘Facebook’’: The effects of computer-mediated teacher self-disclosure on student motivation, affective learning, and classroom climate, Communication Education, 56, pp. 1-17.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. 2003. User acceptance of information technology: Toward a unified view. MIS quarterly, pp. 425-478.
Aron A., Aron E. N., Smollan D. 1992. Inclusion of Other in the Self Scale and the Structure of Interpersonal Closeness,63(4), pp. 596.
Lau K. H., AuW. T., LvX. W., Jiang, Y. 2005. The conceptualization of Chinese guanxi of HongKong university students by using multi-dimensional scaling: An empirical approach (in Chinese), Aeta Psycholgoica Sinica, 37(1), pp. 122-125.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Atlantis Press and the author(s)
About this paper
Cite this paper
Yi, Sp., Liu, P., Liao, Gj. (2016). Age-Related Differences in the Acceptance Process of Mobile Phones: A Closer Look at Social Influences. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-180-2_10
Download citation
DOI: https://doi.org/10.2991/978-94-6239-180-2_10
Published:
Publisher Name: Atlantis Press, Paris
Print ISBN: 978-94-6239-179-6
Online ISBN: 978-94-6239-180-2
eBook Packages: EngineeringEngineering (R0)