Expanding Mobile Information Service Needs to Improve Quality of Life: A Cross-temporal Comparison of Japanese Students
Abstract
The purpose of this paper is to identify how the use of mobile information services (MIS) contributes to the quality of life (QoL) of young Japanese users. We examined the relationship between individual life domains and the overall QoL via the bottom-up spillover theory. Questionnaire surveys were conducted online among young Japanese mobile users studying in a university. We obtained data from 107 effective respondents. Comprehensive analyses of the relationships between constructs were conducted using partial least squares structure equation modeling (PLSSEM), which is an analytical method considered appropriate for research models of a non-established nature, many constructs, and a small sample size. The results of this study clearly indicated that the relationship between individual contribution and overall contribution is valid and reliable. Leisure life had the greatest influence on overall contribution among Japanese young adults. Further, there were some changes between 2013 and 2015 with respect to more positive and significant individual life domains, which are as follows in descending order: cultural life, community life, informational life, home-healthcare life, financial life, trustworthy life, health life, and safety life.
References
M.S. Choi, H. Choi, Y.C. Kim, and J. Kim, “An Empirical Study on Post-adoption Behavior of Mobile Data Service with a Focus on Comparison between Services,” Korean Marketing Review, Vol. 20, No. 1, 2005, pp. 1-27.
K.C.C. Yang, “Exploring Factors Affecting the Adoption of Mobile Commerce in Singapore,” Telematics and Informatics, Vol. 22, No. 3, 2005, pp. 257-277.
T. Rahman, C.M. Ron, and P. Wandschneider, “Measuring the Quality of Life across Countries: A Sensitivity Analysis of Well-being Indices,” UNU-WIDERWIDER Research Paper, World Institute for Development Economics Research, Volume:2005/06, 2005.
H. Choi, J. Kim, M. Lee, G. Gaglis, K. Naruse, I. Constantious, E. Fife, and E. G. Mayhew, “Contribution to Quality of Life: Cross-national Validation of New Metrics for Mobile Data Service Technology in Korea and Japan,” International Journal of Innovation and Technology Management, Vol. 4, No. 2, 2007, pp. 191-208.
Q.M. Ghyas and F.N. Kondo, “How Do Mobile Information Services Improve Quality of Life? The Case of Japanese Students,” International Journal of Innovation and Technology Management, Vol. 13, No. 6, 2016; doi:10.1142/S021987701750002X.
D. Gefen, E. Karahanna, and D. W. Straub, “Trust and TAM in Online Shopping: An Integrated Model,” MIS Quarterly, Vol. 27, No. 1, 2003, pp. 51-90.
A. Bhattacherjee and G. Premkumar, “Understanding Changes in Belief and Attitude toward Information Technology Usage: A Theoretical Model and Longitudinal Test,” MIS Quarterly, Vol. 28, No. 2, 2004, pp. 229-254.
D.W. Straub, W. Loch, R. Aristo, E. Karahanna, and M. Strite, “Toward a Theory-based Measurement of Culture,” Journal of Global Information Management, Vol. 10, No. 81, 2002, pp. 13-23.
S. McCall, “Quality of Life Social Indicators Research,” 16: 299-349, 1975.
K.W. Terhune, “Probing Policy Relevant Questions on the Quality of Life,” in: The Quality of Life Concept. Washington, DC: Environmental Protection Agency, 1973.
M. J. Sirgy, “Strategic Marketing Planning Guided by the Quality-of-Life (QoL) Concept,” Journal of Business Ethics, Vol. 15, No. 3, 1996, pp. 241-259.
K.L. Leung, S.P. Kwok, S.C. Lam, J.F. Lee, R.Y. Yiu, S.S. Ng, P.B. Lai, and W.Y. Lau, “Laparoscopic Resection of Rectosigmoid Carcinoma: Prospective Randomized Trial,” Lancet, Vol. 363, 2004, pp. 2224-2229.
E.S. Huebner and R. Gilman, “An Introduction to the Multidimensional Students’ Life Satisfaction Scale,” Social Indicators Research, Vol. 60, 20002, 115-122.
F.M Andrews and S.B. Withey, “Social Indicators of Well-Being: America’s Perception of Life,” Plenum Press, New York, 1976.
H. Choi, S.K. Im, M. Lee, and J. Kim, “Contribution to Quality of Life: A New Outcome Variable for Mobile Data Service,” Journal of the Association of Information System, Vol. 8, No. 12, article 1, 2007b, pp. 598-618.
G. Jing and K. Andy, “Mobile Application Development for Senior Citizens,” in the Proceedings of Pacific Asia Conference on Information Systems, PACIS 2010, Paper 65.
L. Nguyen, S. Evans, W.D. Wilde, and G. Shanks, “Supporting Information Needs of Senior Citizens in Community Aged Care,” in the proceedings of the Australasian Conferences on Information Systems, ACIS 2010, Paper 7.
L. Haddon, “Il ControllodellaComunicazione. Imposizione di Limitiall’uso del Telefono,” (ed.) L. Fortunati, Telecomunicando in Europa, Franco Angeli, Milano, 1998.
L. Palen, “Mobile Telephony in a Connected Life,” Communications of the ACM, 45, 3: 78-82, 2002.
Strumpel, B. (1973), “Economic Life Styles, Values, and Subjective Welfare-An Empirical Approach,” in Family Economic Behavior Problems and Prospects, E. B. Sheldon, ed. Philadelphia: Lippincott.
Kotler, P, “A Generic Concept of Marketing,” Journal of Marketing, Vol. 36. No4, 1972, pp. 6-54.
Maslow, A. H. , “A Theory of Human Motivation,” Psychological Review, Vol. 50, No. 4, 1943, pp. 370-396.
M. J. Sirgy, “The Psychology of Quality of Life,” Kluwer, Dordrecht, 2002.
V. D. Heijden (2004), “User Acceptance of Hedonic Information Systems,” MIS Quarterly, Vol. 28, No. 4, pp. 695-704.
A. Bhattacherjee, “Understanding Information Systems Continuance: An Expectation-Confirmation Model,” MIS Quarterly, Vol. 25, No. 3, 2001, pp. 351-370.
S.P. de Chenecey, “Putting Brands in their Place,” Young Consumers, Vol. 4, No. 2, 2002, pp. 47-50.
W. Pavot and E. Diener, “Review of the Satisfaction with Life Scale,” Psychological Assessment, Vol. 5, No. 2, 1993, pp. 164-171.
W.W. Chin, “The Partial Least Squares Approach to Structural Equation Modeling,” In: G. A. Marcoulides (ed), Modern Methods for Business Research, 1998, No.2, pp.295-336.
K.A. Bollen and R. Lennox, “Conventional Wisdom on Measurement: A Structural Equation Perspective,” Psychological Bulletin, Vol. 110, No. 2, 1991, pp. 305-314.
J.F. Hair, G.T.M. Hult, C.M. Ringle, and M. Sarstedt, “A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM),” Thousand Oaks: Sage, 2013.
M. Tenenhaus, V.E. Vinzi, Y.M. Chatelin, and C. Lauro, “PLS Path Modeling,” Computational Statistics and Data Analysis, Vol. 48, No. 1, 2005, pp. 159-205.
