Aharony, L., & Strasser, S. (1993). Patient satisfaction: what we know about and what we still need to explore. Medical Care Review, 50
Ahluwalia, P., & Varshney, U. (2009). Composite quality of service and decision making perspectives in wireless networks. Decision Support Systems, 46
Akter, S., & Ray, P. (2010). mHealth-an ultimate platform to serve the unserved. IMIA Yearbook of Medical Informatics, 2010, 75–81.
Akter, S., D’Ambra, J., Ray, P. (2010). User perceived services quality of mHealth services in developing countries. In the Proceedings of the Eighteen European Conference on conference on Information Systems, Pretoria, South Africa.
Andaleeb, S. S. (2001). Service quality perceptions and patient satisfaction: a study of hospitals in a developing country. Social Science & Medicine, 52
Andrade, R., Wangenheim, A. V., & Bortoluzzi, M. K. (2003). Wireless and PDA: a novel strategy to access DICOMcompliant medical data on mobile devices. International Journal of Medical Informatics, 71
Angst, M. C., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: the elaborate likelihood model and individual persuasion. MIS Quarterly, 33(2), 339–370.
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51
Baroudi, J. J., & Orlikowski, W. J. (1988). A short-form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of MIS, 4(4), 44–59.
Baroudi, J. J., & Orlikowski, W. J. (1989). The problem of statistical power in MIS research. MIS Quarterly, 13
Bhattacherjee, A. (2001). Understanding information systems continuance. An expectation–confirmation model. MIS Quarterly, 25
Bitner, M. J. (1990). Evaluating Service Encounters: The Effects of Physical Surrounding and Employee Responses. Journal of Marketing, 54(2), 69-81.
Bollen, K. A., & Lennox, R. (1991). Conventional wisdom on measurement: a structural equation perspective. Psychological Bulletin, 110
Brady, M. K., & Cronin, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: a hierarchical approach. Journal of Marketing, 65
Campbell, A., Converse, P. E., & Rodgers, W. L. (1976). The quality of American life. New York: Russel Sage Foundation.
Chae, M., Kim, J., Kim, H., & Ryu, H. (2002). Information quality for mobile internet services: a theoretical model with empirical validation. Electronic Markets, 12
Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. Y. (2009). Examining the success factors for mobile work in healthcare: a deductive study. Decision Support Systems, 46
Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), vii–xvi.
Chin, W. W. (2001). PLS – Graph User’s Guide Version 3.0., Houston, TX: Soft Modeling Inc.
Chin, W. W. (2010). How to write up and report PLS analyses. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and application (pp. 645–689). Germany: Springer.
Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: importance of beliefs. Data Base Advance, 26, 42–64.
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). Thousand Oaks: Sage Publications.
Choi, H., Lee, M., Lm, K. S., & Kim, J. (2007). Contribution to quality of life: a new outcome variable for mobile data service. Journal of the Association for Information Systems, 8(12), 598–618.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: L. Erlbaum Associates.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112
Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: a reexamination and extension. Journal of Marketing, 56
Dabholkar, P. A., Thorpe, D. I., & Rentz, J. O. (1996). A measure of service quality for retail stores: scale development and validation. Journal of the Academy of Marketing Science, 24
Dabholkar, P. A., David, C. S., & Dayle, I. T. (2000). A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 72
Dagger, T. S., & Sweeney, C. J. (2006). The effect of service evaluations on behavioral intentions and quality of life. Journal of Service Research, 9
Dagger, T. S., Sweeney, J. C., & Johnson, L. W. (2007). A hierarchical model of health service quality: scale development and investigation of an integrated model. Journal of Service Research, 10
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13
De Ruyter, K., & Wetzels, M. (1998). On the complex nature of patient evaluations of general practice service. Journal of Economic Psychology, 19
DeLone, W. H., & McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9–30.
Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95
Edwards, J. R. (2001). Multidimensional constructs in organizational behavior research: an integrative analytical framework. Organizational Research Methods, 4
Edwards, J. R., & Bagozzi, R. P. (2000). On the nature and direction of relationships between constructs. Psychological Methods, 5
Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. New York: Chapman and Hall.
Fassnacht, M. A., & Koese, I. (2006). Quality of electronic services: conceptualizing and testing a hierarchical model. Journal of Service Research, 9
Faul, F., Erdfelder, E., Buchner, A., & Lang, G. A. (2009). Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behavior Research Methods, 41
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18
Gotlieb, J. B., Dhruv, G., & Stephen, W. B. (1994). Consumer satisfaction and perceived quality: complementary or divergent constructs. The Journal of Applied Psychology, 79
Gregor, S. (2006). The nature of theory in information systems. MIS Quarterly, 30(3), 611–642.
Gronroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18
Holmbeck, G. N. (1997). Toward terminological, conceptual, and statistical clarity in the study of mediators and moderators: examples from the child-clinical and pediatric psychology literatures. Journal of Counseling and Clinical Psychology, 65
Istepanian, R., & Lacal, J. (2003). Emerging mobile communication technologies for health: Some imperative notes on m-Health. Paper presented at the 25th International Conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico.
Ivatury, G., Moore, J., & Bloch, A. (2009). A doctor in your pocket: health hotlines in developing countries. Innovations: Technology, Governance, Globalization, 4
Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A Critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30
Jasperson, J., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525–557.
Jen, W. Y., Chao, C. C., Hung, M. C., Li, Y. C., & Chi, Y. P. (2007). Mobile information and communication in the hospital outpatient service. International Journal of Medical Informatics, 76
Jiang, J. J., & Klein, G. (1999). User Evaluation of Information Systems: By System Typology. IEEE Transactions on System, Man, and Cybernetics, 29(1), 111-116.
Jiang, J. J., Klein, G., & Crampton, S. (2000). A note on SERVQUAL reliability and validity in information system service quality measurement. Decision Sciences, 31
Jiang, J. J., Klein, G., Roan, J., & Lin, T. M. (2001). IS service performance: self-perceptions and user perceptions. Information Management, 38
Jiang, J. J., Klein, G., & Carr, C. (2002). Measuring information systems quality: SERVQUAL from the other side. MIS Quarterly, 26
Kaplan, B., & Litewka, S. (2008). Ethical challenges of telemedicine and telehealth. Cambridge Quarterly of Healthcare Ethics, 17
Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25
Kettinger, W. J., & Lee, C. C. (1995). Exploring a ‘gap’ model of information services quality. Information Resources Management Journal, 8(3), 5–16.
Kettinger, W. J., & Lee, C. C. (1999). Replication of measures in information systems research: the case of IS SERVQUAL. Decision Sciences, 30
Kettinger, W. J., & Lee, C. C. (2005). Zones of tolerance: alternative scales for measuring information systems service quality. MIS Quarterly, 29(4), 607-623.
Koivisto, M. (2007). Development of quality expectations in mobile information systems, Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, University of Bridgeport, CT, USA.
Krause, A., Hartl, D., Theis, F., Stangl, M., Gerauer, K. E., & Mehlhorn, A. T. (2004). Mobile decision support for transplantation patient data. International Journal of Medical Informatics, 73
Law, K., & Wong, C.-S. (1998). Multidimensional constructs in structural equation analysis: an illustration using the job perception and job satisfaction constructs. Journal of Management, 25
Limayem, M., Hirt, S. G., & Cheung, M. K. C. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31(4), 705–737.
Lohmöller, J.-B. (1989). Latent variable path modeling with partial least squares. Heidelberg: Physica-Verlag.
MacKenzie, S. B., Podsakoff, P. M., & Jarvis, C. B. (2005). The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. The Journal of Applied Psychology, 90
Malhotra, N. (2004). Marketing research: an applied orientation, 4th ed., Upper Saddle River, NJ: Pearson Education.
Mechael, P. (2009). The case for mHealth in developing countries. Innovations: Technology, Governance, Globalization, 4
Michalowski, W., Rubin, S., Slowinski, R., & Wilk, S. (2003). Mobile clinical support system for pediatric emergencies. Decision Support Systems, 36
Myers, B. L., Kappelman, L. A., & Prybutok, V. R. (1998). A comprehensive model for assessing the quality and productivity of the information systems function: Toward a theory for information systems assessment. In E.J. Garrity and G.L. Sanders (eds.). Information Systems Success Measurement. Hershey. PA: Idea Group, pp. 94–121.
Nelson, R. R., Todd, P. A., & Wixom, B. H. (2005). Antecedents of information and systems quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199–235.
Noonan, R., & Wold, H. (1993). Evaluating school systems using partial least squares. Evaluation in Education, 7
Norris, T., Stockdale, R., & Sharma, S. (2008). Mobile health: strategy and sustainability. The Journal of Information Technology in Healthcare, 6(5), 326–333.
Orlikowski, W. J., & Iacono, C. S. (2001). Research commentary: desperately seeking the “IT” in IT researches—a call to theorizing the IT artifact. Information Systems Research, 2
Parasuraman, A., Valarie A. Z., & Berry L.L. (1985). A conceptual model of service quality and its implications for future research, Journal of Marketing, 49(Fall), 41–50.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 5–6.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7
Petter, S., & McLean, R. E. (2009). A meta analytic assessment of the DeLone and McLean IS success model: an examination of IS success at the individual level. Information Management, 46
Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(1), 623–656.
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. MIS Quarterly, 19
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1997). Measuring information systems service quality: concerns for a complete canvas. MIS Quarterly, 21
RACE (1994) UMTS System Structure Document, Issue 1.0. RACE 2066 Mobile Networks (MONET), CEC Deliverable No:R2066/LMF/GA1/DS/P/052/b1
Reeves, C., & Bednar, D. A. (1994). Defining quality: alternatives and implications. Academy of Management Review, 19
Saga, V. L., & Zmud, R. W. (1994). The nature and determinants of IT acceptance, routinization, and infusion. In L. Levine (Ed.), Diffusion, transfer and implementation of information technology (pp. 67–86). Amsterdam: Elsevier Science.
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 240–253.
Shaw, C., & Ivens, J. (2002). Building great customer experiences
. New York: Macmillan.CrossRef
Sheth, J., Bruce, N., Newman, I., & Barbara, L. G. (1991). Consumption values and market choices: theory and applications. Cincinnati: South-Western.
Sirgy, M. J., Hansen, D. E., & Littlefield, J. E. (1994). Does hospital satisfaction affect life satisfaction? Journal of Macromarketing, 14
Sousa, R., & Voss, C. (2006). Service quality in multichannel services employing virtual channels. Journal of Service Research, 8
Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of customer satisfaction. Journal of Marketing, 60
Straub, D. W., & Watson, R. T. (2001). Research commentary: transformational issues in researching IS and net-enabled organizations. Information Systems Research, 12
Straub, D. W., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of AIS, 13(24), 380–427.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: the development of a multiple item scale. Journal of Retailing, 77
Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer satisfaction in the formation of consumers’ purchase intentions. Journal of Retailing, 70
Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48
United Nations foundation & Vodafone foundation (2009). mHealth for development: The opportunity of mobile technology for healthcare in developing world. Available at: http://www.vitalwaveconsulting.com/insights/mHealth.htm
[Accessed September 03, 2010]
Varshney, U. (2005). Pervasive healthcare: applications, challenges and wireless solutions. Communications of the Association for Information Systems, 16(3), 57–72.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46
Watson, R. T., Pitt, L. F., & Kavan, C. B. (1998). Measuring information systems service quality: lessons from two longitudinal case studies. MIS Quarterly, 22
Wetzels, M., Schroder, G. O., & Oppen, V. C. (2009). Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly, 33(1), 177–195.
Whetten, D.A. (1989). What constitutes a theoretical contributions. Academy of Management Review, 14(4), 490–495.
Wixom, H. B., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16
Wold, H. (1985). Partial least squares. In S. Kotz & N. L. Johnson (Eds.), Encyclopedia of statistical sciences. New York: Wiley.
Zeithaml, V. (1987). Defining and relating price, perceived quality, and perceived value (pp. 87–101). Cambridge: Marketing Science Institute, Report No. 87–101.
Zviran, M., & Erlich, Z. (2003). Measuring IS user satisfaction: review & implications. Communications of the AIS, 12, 81–103.