Investigating the Determinants of Satisfaction and Usage of Mobile IT Services in Four Countries

REFERENCES

• Alter, S. “The Work System Method for understanding information systems and information systems research,” Communications of the AIS (9:6), 2002, pp. 90–104.
   Google Scholar
• Anderson, E.W., and Fornell, C. “Foundations of the American Customer Satisfaction Index,” Total Quality Management & Business Excellence (11:7), 2000, pp. 869–882.
   Google Scholar
• Andrews, F.M. “Construct validity and error components of survey measures: A structural modeling approach,” The Public Opinion Quarterly (48:2), 1984, pp. 409–442.
   Web of Science ®Google Scholar
• Anonymous “About the ACSI:Predictivecapabilities (http://www.theacsi.com/predictivecapabilities.htm),” The ACSI Organization, 2005.
   Google Scholar
• Bagchi, K., Hart, P., and Peterson, M.F. “National culture and information technology product adoption,” Journal of Global Information Technology Management (7:4), 2004, pp. 29–46.
   Google Scholar
• Banks, J.C. “The third generation of wireless communications: The intersection of policy, technology and popular culture,” Law and Policy in International Business (32:3), 2001, pp. 585.
   Google Scholar
• Bhattacherjee, A., and Premkumar, G. “Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test,” MIS Quarterly (28:2), 2004, pp. 229–254.
   Web of Science ®Google Scholar
• Bokhari, R.H. “The relationship between system usage and user satisfaction: A meta-analysis,” The Journal of Enterprise Information Management (18:2), 2005, pp. 211–234.
   Google Scholar
• Bontis, N., and Serenko, A. “The moderating role of human capital management practices on employee capabilities,” Journal of Knowledge Management (in press), 2007,
   Google Scholar
• Carte, T.A., and Russell, C.J. “In pursuit of moderators: Nine common errors and their solutions,” MIS Quarterly (27:3), 2003, pp. 479–501.
   Web of Science ®Google Scholar
• Chin, W.W. PLS-Graph User's Guide, Version 3.0, Soft Modeling Inc., 2001.
   Google Scholar
• Chow, G.C. “Tests of equality between sets of coefficients in two linear regressions,” Econometrica (28:3), 1960, pp. 591–605.
   Web of Science ®Google Scholar
• Doll, W.J., Deng, X., Raghunathan, T.S., Torkzadeh, G., and Xia, W. “The meaning and measurement of user satisfaction: A multigroup invariance analysis of the End-User Computing Satisfaction Instrument,” Journal of Management Information Systems (21:1), 2004, pp. 227–262.
   Web of Science ®Google Scholar
• Dow, K., Serenko, A., Turel, O., and Wong, J. “Antecedents and consequences of user satisfaction with email systems,” International Journal of E-Collaboration (2:2), 2006, pp. 46–64.
   Google Scholar
• Fornell, C. “A National Customer Satisfaction Barometer: The Swedish Experience,” Journal of Marketing (56:1), 1992, pp. 6–21.
   Web of Science ®Google Scholar
• Fornell, C., Johnson, M.D., Anderson, E.W., Cha, J., and Bryant, B.E. “The American Customer Satisfaction Index: Nature, purpose, and findings,” Journal of Marketing (60:7), 1996, pp. 7–18.
   Google Scholar
• Fornell, C., and Larcker, D.F. “Evaluating structural equation models with unobservable variables and measurement error,” Journal of Marketing Research (18:1), 1981, pp. 39–50.
   Web of Science ®Google Scholar
• Gefen, D., and Keil, M. “The impact of developer responsiveness on perceptions of usefulness and ease of use: An extension of the technology acceptance model,” The Data Base for Advances in Information Systems (29:2), 1998, pp. 35–49.
   Web of Science ®Google Scholar
• Gefen, D., Straub, D., and Boudreau, M.-C. “Structural Equation Modeling and Regression: Guidelines for research practice,” Communications of the Association for Information Systems (4:7), 2000, pp. 1–77.
   Google Scholar
• Gorst, J.K., Wallace, W., and Kanji, G.K. “Customer satisfaction at the Sheffield World Congress, 1998,” Total Quality Management (10:4/5), 1999, pp. 561–568.
   Google Scholar
• Hofstede, G. “Cultural predictors of national negotiation styles,” In Processes of international negotiations, F. Mautner-Markhof (ed.) Westview Press, Colorado, USA, 1989, pp. 193–201.
   Google Scholar
• Igbaria, M. “A motivational model of microcomputer usage,” Journal of Management Information Systems (13:1), 1996, pp. 127–143.
   Google Scholar
• Igbaria, M., and Zviran, M. “End-User Effectiveness - a Cross-Cultural Examination,” Omega- International Journal of Management Science (19:5), 1991, pp. 369–379.
   Web of Science ®Google Scholar
• Lonergan, D., Swain, W., Guy, A., Yunus, F., Jackson, J., Mallinson, K., Barrabee, L., Minoru, L., Hatton, M., Entner, R., Putcha, S., Hoffman, G., and Quigley, M. “Asia-Pacific pegion to drive global wireless revenue,” The Yankee Group, January 2004.
   Google Scholar
• Mahmood, M.A., Burn, J.M., Gemoets, L.A., and Jacquez, C. “Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature,” International Journal of Human-Computer Studies (52:4), 2000, pp. 751–771.
   Web of Science ®Google Scholar
• Mallinson, K. “Wireless goes global,” The Yankee Group, August 2003.
   Google Scholar
• Meso, P., Musa, P., and Mbarika, V. “Towards a model of consumer use of mobile information and communication technology in LDCs: the case of sub-Saharan Africa,” Information Systems Journal (15:2), 2005, pp. 119–146.
   Web of Science ®Google Scholar
• Oliver, R.L. Satisfaction: A behavioural perspective on the consumer, Irwin McGraw-Hill, Boston, 1997.
   Google Scholar
• Statistics Finland “Finland in Figures 2004 (http://www.stat.fi/tup/suoluk/suomilukuina_en.html),” Statistics Finland general publications, 2004.
   Google Scholar
• Straub, D.W., Keil, M., and Brenner, W. “Testing the Technology Acceptance Model across cultures: A three country study,” Information & Management (33:1), 1997, pp. 1–11
   Web of Science ®Google Scholar
• Taylor, S., and Todd, P.A. “Understanding information technology usage: A test of competing models,” Information Systems Research (6:2), 1995, pp. 144–176.
   Web of Science ®Google Scholar
• Turel, O., and Serenko, A. “Satisfaction with mobile services in Canada: An empirical investigation,” Telecommunications Policy (30:5-6), 2006, pp. 314–331.
   Web of Science ®Google Scholar
• Turel, O., Serenko, A., and Bontis, N. “User acceptance of Short Messaging Services: The convergence of marketing and MIS views,” the 11th Americas Conference on Information Systems (AMCIS), Omaha, NE, USA, 2005, pp. 1890–1899.
   Google Scholar
• Turel, O., and Yuan, Y. “Investigating the dynamics of the M-Commerce value system: A comparative viewpoint,” International Journal of Mobile Communications (4:5), 2006, pp. 532–557.
   Google Scholar
• Venkatesh, V., Morris, M.G., Davis, G.D., and Davis, F.D. “User acceptance of information technology: Toward a unified view,” MIS Quarterly (27:3), 2003, pp. 425–478.
   Web of Science ®Google Scholar
• Wixom, B.H., and Todd, P.A. “A theoretical integration of user satisfaction and technology acceptance,” Information Systems Research (16:1), 2005, pp. 85–102.
   Web of Science ®Google Scholar
• Zeithaml, V.A. “Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence,” Journal of Marketing (52:3), 1988, pp. 2–22.
   Web of Science ®Google Scholar
• Zmud, R.W., and Boynton, A.C. “Survey measures and instruments in MIS: Inventory and appraisal,” In The information systems research challenge: Survey research methods, K. L. Kraemer (ed.) Harvard Business School Press, Boston, 1991, pp. 149–180.
   Google Scholar
• Zviran, M., and Erlich, Z. “Measuring IS user satisfaction: Review and implications,” Communications of the AIS (12), 2003, pp. 81–103.
   Google Scholar