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Articles

Physicians' appraisal of mobile health monitoring

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Pages 1326-1344 | Received 30 Nov 2012, Accepted 04 Jun 2013, Published online: 21 Aug 2013

References

  • Alsos, O. A., Das, A., & Svanæs, D. (2012). Mobile health IT: The effect of user interface and form factor on doctor–patient communication. International Journal of Medical Informatics, 81(1), 12–28. doi: 10.1016/j.ijmedinf.2011.09.004
  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory, Englewood Cliffs, NJ: Prentice-Hall.
  • Chan, V., Ray, P., & Parameswaran, N. (2008). Mobile e-health monitoring: An agent-based approach. IET Communications, 2(2), 223–230. doi: 10.1049/iet-com:20060646
  • Chomutare, T., Fernandez-Luque, L., Årsand, E., & Hartvigsen, G. (2011). Features of mobile diabetes applications: Review of the literature and analysis of current applications compared against evidence-based guidelines. Journal of Medical Internet Research, 13(3), e65 Retrieved May 2, 2013, from http://www.jmir.org/2011/3/e65/ doi: 10.2196/jmir.1874
  • Craig, C. S., & Douglas, S. P. (2005). International marketing research (3rd ed.). New York, NY: Wiley.
  • Dabholkar, P., & Bagozzi, R. (2002). An attitudinal model of technology-based self-service moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184–201.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339. doi: 10.2307/249008
  • DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. doi: 10.1287/isre.3.1.60
  • 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.
  • Dennis, A. R., Wixom, B. H., & Vandenberg, R. J. (2001). Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Quarterly, 25(2), 167–194. doi: 10.2307/3250928
  • Dünnebeil, S., Sunyaev, A., Leimeister, J.M., & Krcmar, H. (2012, January). Market engineering for electronic health services. Proceedings of the 45th Hawaii International Conference on System Sciences (HICSS 45), Maui, HI, pp. 952–961.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi: 10.2307/3151312
  • Gist, M. E. (1987). Self-efficacy: Implications for organizational behavior and human resources management. Academy of Management Review, 12(3), 472–485.
  • Goodhue, D. L., & Thompson, R. L. (1995). Task–technology fit and individual performance. MIS Quarterly, 19(2), 213–236. doi: 10.2307/249689
  • Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems, 19(3), 207–228. doi: 10.1016/j.jsis.2010.05.001
  • Halawi, L. A., McCarthy, R. V., & Aronson, J. E. (2007). An empirical investigation of knowledge-management systems’ success. Journal of Computer Information Systems, 48(2), 121–135.
  • Henseler, J. (2010). On the convergence of the partial least squares path modeling algorithm. Computational Statistics, 25(1), 107–120. doi: 10.1007/s00180-009-0164-x
  • Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82–109. doi: 10.1080/10705510903439003
  • Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. In Esposito VinziV.ChinW. W.HenselerJ.WangH. (Ed.), Handbook of partial least squares: Concepts, methods and applications, (pp. 713–735). Heidelberg: Springer.
  • Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer change. Journal of Consumer Research, 7(3), 283–295. doi: 10.1086/208816
  • Hong, Y., Thong, J. Y.L., Wong, W. M., & Tam, K. M. (2001). Determinants of user acceptance of digital libraries: An empirical examination of individual differences and system characteristics. Journal of Management Information Systems, 18(3), 97–124.
  • Hsu, T. H., Su, H. Y., & Liao, P. P. (2010). Enhancing value creation of device vendors in the medical service industry: A relationship perspective. The Service Industries Journal, 30(11), 1787–1801. doi: 10.1080/02642060802624316
  • Karahanna, E., Agarwal, R., & Angst, C. M. (2006). Reconceptualizing compatibility beliefs in technology acceptance research. MIS Quarterly, 30(4), 781–804.
  • Kawarasaki, M., Asano, T., Ohara, M., Kawai, K., & Igarashi, T. (2010). Development and validation of a cell-phone based interactive self-care support system for lifestyle diseases. Japan Journal of Medical Informatics, 29(5), 201–210.
  • Kelley, H., Chiasson, M., Downey, A., & Pacaud, D. (2011). The clinical impact of eHealth on the self-management of diabetes: A double adoption perspective. Journal of the Association for Information Systems, 12(3), 208–234.
  • Kleijnen, M. H.P., de Ruyter, K., & Wetzels, M. G.M. (2007). An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83(1), 33–46. doi: 10.1016/j.jretai.2006.10.004
  • Lazarus, R. S. (1991). Emotion and adaptation, New York, NY: Oxford University Press.
  • Lee, Y.W., Strong, D.M., Kahn, B.K., & Wang, R.Y. (2002). AIMQ: A methodology for information quality assessment. Information & Management, 40(2), 136–144.
  • Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology, Cambridge, MA: MIT Press.
  • Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4(4), 229–242. doi: 10.1086/208701
  • Miranda, F. J., Chamorro, A., Murillo, L. R., & Vega, J. (2010). Assessing primary healthcare services quality in Spain: Managers vs. patients perceptions. The Service Industries Journal, 30(13), 2137–2149. doi: 10.1080/02642060903215055
  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
  • Okazaki, S., Li, H., & Hirose, M. (2009). Consumer privacy concerns and preference for degree of regulatory control: A study of mobile advertising in Japan. Journal of Advertising, 38(4), 65–79. doi: 10.2753/JOA0091-3367380405
  • Ozer, E. M., & Bandura, A. (1990). Mechanisms governing empowerment effects: A self-efficacy analysis. Journal of Personality and Social Psychology, 58(3), 472–486. doi: 10.1037/0022-3514.58.3.472
  • 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(10), 1–21.
  • Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. doi: 10.1057/ejis.2008.15
  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. doi: 10.3758/BRM.40.3.879
  • Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor's comments: A critical look at the use of PLS-SEM in MIS quarterly. MIS Quarterly, 36(1), iii–xiv.
  • Ringle, C.M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (Beta). Hamburg. Retrieved from www.smartpls.de
  • Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). New York, NY: Free Press.
  • Roseman, I. J., & Evdokas, A. (2004). Appraisals cause experienced emotions: Experimental evidence. Cognition & Emotion, 18(1), 1–28. doi: 10.1080/02699930244000390
  • Scherer, K. R. (2001). Appraisal considered as a process of multi-level sequential checking. In SchererK. R.SchorrA.JohnstoneT. (Ed.), Appraisal processes in emotion: Theory, methods, research, (pp. 92–120). New York, NY: Oxford University Press.
  • Silvia, P. J. (2005). What is interesting? Exploring the appraisal structure of interest. Emotion, 5(1), 89–102. doi: 10.1037/1528-3542.5.1.89
  • Svanæs, D., Alsos, O. A., & Dahl, Y. (2010). Usability testing of mobile ICT for clinical settings: Methodological and practical challenges. International Journal of Medical Informatics, 79(4), e24–e34. doi: 10.1016/j.ijmedinf.2008.06.014
  • Tan, F.B., & Chou, J.P. (2008). The relationship between mobile service quality, perceived technology compatibility, and users' perceived playfulness in the context of mobile information and entertainment services. International Journal of Human–Computer Interaction, 24(7), 649–671.
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. doi: 10.1287/isre.6.2.144
  • Tomkins, S. S. (1962). Affect, imagery, consciousness: Vol. 1, the positive affects, New York, NY: Springer-Verlag.
  • 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.
  • Vlahos, G. E., & Ferratt, T. W. (1995). Information technology use by managers in Greece to support decision making: Amount, perceived value, and satisfaction. Information & Management, 29(6), 305–315. doi: 10.1016/0378-7206(95)00037-1
  • Weber, D. M., & Kauffman, R. J. (2011). What drives global ICT adoption? Analysis and research directions. Electronic Commerce Research and Applications, 10(6), 683–701. doi: 10.1016/j.elerap.2011.01.001
  • Winkler, S., Schieber, M., Lücke, S., Heinze, P., Schweizer, T.,Wegertseder, D., & … Koehler, F. (2011). A new telemonitoring system intended for chronic heart failure patients using mobile telephone technology – feasibility study. International Journal of Cardiology, 153(1), 55–58. doi: 10.1016/j.ijcard.2010.08.038
  • Woodward, J. (1958). Management and technology, London: Her Majesty's Stationery Office.
  • World Health Organization. (2012). World health statistics. Retrieved January 1, 2012, from http://www.who.int/gho/publications/world_health_statistics/2012/en/
  • Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean's model. Information & Management, 43(6), 728–739. doi: 10.1016/j.im.2006.05.002
  • Wu, J. H., Wang, S. C., & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1), 66–77. doi: 10.1016/j.ijmedinf.2006.06.006

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