Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life

Behaviour and Information Technology

Volumn 32, Issue 12, 2013, Pages 1225-1241

  Akter, Shahriar ^a   D'Ambra, John ^b   Ray, Pradeep ^b   Hani, Umme ^c  

^a UNIVERSITY OF WOLLONGONG   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Continuance; MHealth; Quality of life; Satisfaction; Service quality

Indexed keywords

CONTINUANCE; MHEALTH; QUALITY OF LIFE; SATISFACTION; SERVICE QUALITY;

HEALTH CARE; LEAST SQUARES APPROXIMATIONS;

QUALITY OF SERVICE;

EID: 84888636334     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/0144929X.2012.745606     Document Type: Article

References (101)

1. Ajzen, I., and Fishbein, M., 1980. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
2. Akter, S. and Ray, P., 2010. mHealth - an ultimate platform to serve the unserved. IMIA Yearbook of Medical Informatics, Germany: Schattauer.
3. Akter, S., D'Ambra, J., and Ray, P., 2011. Trustworthiness in mHealth information services: an assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS). Journal of American Society for Information Science and Technology, 62 (1), 100-116.
4. Andaleeb, S.S., 2001. Service quality perceptions and patient satisfaction: a study of hospitals in a developing country. Social Science and Medicine, 52 (9), 1359-1370.
5. Andaleeb, S.S., 2008. Caring for children: a model of healthcare service quality in Bangladesh. International Journal of Quality in Healthcare, 20 (5), 339-345.
6. Anderson, E.W. and Sullivan M.W., 1993. The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12 (2), 125-143 (Spring).
7. Athanassopoulos, A.D., 2000. Customer satisfaction to support market segmentation and explain switching behaviour. Journal of Business Research, 47 (3), 191-207.
8. Bagozzi, R.P., 2010. Structural equation models are modelling tools with many ambiguities: comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20, 208-214.
9. Bagozzi, R.P. and Yi, Y., 1994. Advanced topics in structural equation models. In: R.P. Bagozzi, ed. Advanced methods of marketing research. Oxford, England: Blackwell, 1-51.
10. Bansal, H.S., Taylor, S.F., and James, Y.S., 2005. Migrating to new service providers: toward a unifying framework of consumers' switching behaviours. Journal of Academy of Marketing Science, 33 (1), 96-115.
11. Baron, R.M. and Kenney D.A., 1986. The moderatormediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173-1182.
12. Baroudi, J.J. and Orlikowski, W.J., 1988. A short-form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of Management Information System, 4 (4), 44-59.
13. Bernhardt, K.L., Donthu, N., and Kennett, P.A., 2000. A longitudinal analysis of satisfaction and profitability. Journal of Business Research, 47, 161-171.
14. Berry, L.L. and Bendapudi, N., 2008. Healthcare: a fertile filed for service research. Journal of Service Research, 10 (2), 111-122.
15. Bhattacherjee, A., 2001. Understanding information systems continuance. An expectation-confirmation model. MIS Quarterly, 25 (3), 351-370.
16. Bitner, M.J. and Brown, S.W., 2008. The service imperative. Business Horizons, 51, 39-46 (January-February).
17. Brady, M.K. and Cronin, J.J., 2001. Some new thoughts on conceptualizing perceived service quality: a hierarchical approach. Journal of Marketing, 65, 34-49 (July).
18. Brady, M.K. and Robertson, C.J., 2001. Searching for a consensus on the antecedent role of service quality and satisfaction: an exploratory cross-national study. Journal of Business Research, 51 (1), 53-60.
19. Caruana, A., Ewing, M.T., and Ramaseshan, R.B., 2000. Assessment of the three-column format SERVQUAL: an experimental approach, Journal of Business Research, 49 (I), 57-65.
20. Chatterjee, S., et al., 2009. Examining the success factors for mobile work in healthcare: a deductive study, Decision Support Systems, 46, 620-633.
21. Chin, W.W., 1998a. Commentary: issues and opinion on structural equation modeling. MIS Quarterly, 22 (March), vii-xvi.
22. Chin, W.W., 1998b. The partial least squares approach for structural equation modeling. In: G.A. Marcoulides, ed. Modern methods for business research. Mahwah, NJ: Lawrence Erlbaum, 295-336.
23. Chin, W.W., 2001. PLS - Graph User's Guide Version 3.0. Houston, TX: Soft Modeling, Inc.
24. Chin, W.W., 2010. How to write up and report PLS analyses. In: V. Esposito, et al., eds. Handbook of partial least squares: concepts, methods and application. Germany: Springer, 645-689.
25. Chin, W.W., Marcolin, B.L., and Newsted, P.R., 2003. A partial least squares latent variable modelling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/ adoption study. Information System Research, 14 (2), 189-217.
26. Chin, W.W. and 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. Thousand Oaks, CA: Sage Publications, 307-341.
27. Chiou, J., Droge, C., and Hanvanich, S., 2006. Does customer knowledge affect how loyalty is formed? Journal of Service Research, 5 (2), 113-124.
28. Choi, K.S., et al., 2004. The relationships among quality, value, satisfaction and behavioural intention in health care provider choice: a South Korean study. Journal of Business Research, 57 (8), 913-921.
29. Choi, H., et al., 2007. Contribution to quality of life: a new outcome variable for mobile data service. Journal of Association of Information System, 8 (12), 598-618.
30. Cohen, J., 1988. Statistical power analysis for the behavioural sciences. 2nd ed. Hillsdale: L. Erlbaum Associates.
31. Cohen, J. and Cohen P., 1983. Applied multiple regression/ correlation analysis for the behavioural sciences. 2nd ed. Hillsdale, NJ: Erlbaum.
32. Cronin, J.J. and Taylor, S.A., 1992. Measuring service quality: a re-examination and extension. Journal of Marketing, 56, 55 - 68 (July).
33. Dabholkar, P.A., Shepherd, D.C. and Thorpe D.I., 2001. A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 72 (2), 139-173.
34. Dagger, T.S. and Sweeney, J.C., 2006. The effect of service evaluations on behavioural intentions and quality of life. Journal of Service Research, 9 (1), 3-18.
35. Dagger, T.S., Sweeney, J.C., and Johnson, L.W., 2007. A hierarchical model of health service quality: scale development and investigation of an integrated model. Journal of Service Research, 10 (2), 123-142.
36. Donabedian, A., 1992. Quality assurance in health care: consumers' role. Quality of Health Care, 1, 247-251.
37. Earth Institute, 2010. Barriers and gaps affecting mHealth in low and middle income countries: a policy white paper. Washington, DC: mHealth Alliance.
38. Edwards, J.R., 2001. Multidimensional constructs in organizational behavior research: an integrative analytical framework. Organizational Research Methods, 4 (2), 144-192.
39. Eskildsen, J. and Kristensen K., 2003. The predictive power of intangibles. Measuring Business Excellence, 7 (2), 46-54.
40. Fassnacht, M. and Koese, I., 2006. Quality of electronic services: conceptualizing and testing a hierarchical model. Journal of Service Research, 9 (19), 19-37.
41. Ferrans, C.E. and Powers M.J., 1992. Psychometric assessment of the quality of life index. Research in Nursing and Health, 15, 29-38.
42. Fornell, C.A., 1992. National customer satisfaction barometer: the swedish experience. Journal of Marketing, 56, 6-21(January).
43. Fornell, C. and Bookstein, F.L., 1982. Two structural equations models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19 (4), 440-452.
44. Fornell, C. and Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50.
45. Geisser, S., 1975. The predictive sample reuse method with applications. Journal of American Statistical Association, 70, 320-328.
46. Giese, J.L. and Cote J.A., 2000. Defining consumer satisfaction. Academy of Marketing Science Review, 1, 1-24.
47. Gotlieb, J.B., Dhruv, G., and Stephen, W.B., 1994. Consumer satisfaction and perceived quality: complementary or divergent constructs. Journal of Applied Psychology, 79 (6), 875-885.
48. Gronroos, C., 1984. A service quality model and its marketing implications. European Journal of Marketing, 18 (4), 36-44.
49. Hair, J., Ringle, C.M., and Sarstedt, M., 2011. PLS-SEM: indeed a silver bullet. Journal of Marketing Theory and Practice, 19 (2), 139-151.
50. Heisel, M.J. and Flett, G.L., 2004. Purpose in life, satisfaction with life, and suicide ideation in a clinical sample. Journal of Psychotherapy and Behaviour Assessment, 26 (2), 127-135.
51. Homburg, C. and Giering, A., 2001. Personal characteristics as moderators of the relationship between customer satisfaction and loyalty - an empirical analysis. Psychology and Marketing, 18 (1), 43-66.
52. Howard, J.A. and Sheth, J.N., 1969. The theory of buyer behaviour. New York: John Wiley and Sons.
53. Hulland, J. Ryan, M.J., and Rayner, R.K., 2010. Modeling customer satisfaction: a comparative performance evaluation of covariance structure analysis versus partial least squares. In: V. Esposito Vinzi, et al., eds. Handbook of partial least squares: concepts, methods and application. Germany: Springer, 307-325.
54. Iacobucci, D., 2008. Mediation analysis. Thousand oaks, CA: Sage.
55. Ivatury, G., Moore, J., and Bloch, A., 2009. A doctor in your pocket: health hotlines in developing countries. Innovations: Technology, Governance, Globalization, 4 (1), 119- 153.
56. Jarvis, C.B., MacKenzie, S.B., and Podsakoff, P.M., 2003. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30, 199-218.
57. Jia, R., Reich, B.H., and Pearson, J.M., 2008. IT service climate: an extension to IT service quality research. Journal of AIS, 9 (5), 294-320.
58. Jun, M., Peterson, R. T, and Zsidisin, G.A., 1998. The identification and measurement of quality dimensions in health care: focus group interview results. Health Care Management Review, 23 (4), 81-96.
59. Kahn, J.G., Yang, J., and Kahn, J.S., 2010.The potential roles of mHealth in developing economies: can they be realized? Health Affairs, 2, 254-261.
60. Kaplan, B. and Litewka, S., 2008. Ethical challenges of telemedicine and telehealth. Cambridge Quarterly Healthcare Ethics, 17, 401-416.
61. Law, K.S., Wong, C., and Mobley, W.H., 1998. Toward a taxonomy of multidimensional constructs. Academy of Management Review, 23 (4), 741-755.
62. Limayem, M., Hirt, S.G., and Cheung, C.M.K., 2007. How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31 (4), 705-737.
63. Ma, Q., Pearson, M., and Tadisina, S., 2005. An exploratory study into factors of service quality for application service providers. Information & Management, 42 (8), 1067-1080.
64. MacKenzie, S.B., Podsakoff, P.M., and Jarvis, C.B., 2005. The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. Journal of Applied Psychology, 90 (4), 710-730.
65. Mechael, P., 2009. The case for mHealth in developing countries. innovations: technology, governance, globalization, 4 (1), 103-118.
66. Montoya, M.M., Massey, A.P., and Khatri, V., 2010. Connecting IT services operation to services marketing practices. Journal of Management Information System, 26 (4), 65-85.
67. O'Connor, S.J., Shewchuk, R.M., and Carney, L.W., 1994. The great gap: physicians' perceptions of patient service quality expectations fall short of reality. Journal of Health Care Marketing, 14 (2), 32-39.
68. Oliver, R.L., 1980. A cognitive model for the antecedents and consequences of satisfaction. Journal of Marketing Research, 17, 460-469.
69. Oliver, R.L., 1993. A conceptual model of service quality and service satisfaction. In: T.A. Swartz, D.E. Bowen, and S.W. Brown, eds. Advances in services marketing and management. Research and practice, Vol. 2, Greenwich, CT: JAI Press, 65-80.
70. Oliver, R.L., 1997. Satisfaction: a behavioural perspective on the consumer. Boston, MA: Irwin-McGraw-Hill.
71. Ostrom, A.L., et al., 2010. Moving forward and making a difference: research priorities for the science of service. Journal of Service Research, 13 (1), 4-36.
72. Parasuraman, A., Zeithaml, V.A., and Berry, L.L., 1985. A conceptual model of service quality and its implications for future research. Journal of Marketing, 49, 41-50.
73. Petter, S., Straub, D., and Rai, A., 2007. Specifying formative constructs in information systems research. MIS Quarterly, 31 (4), 623-656.
74. Parasuraman, A., Zeithaml, V. A, and Berry L.L., 1988. SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64 (1), 12-37.
75. Parasuraman, A., Zeithaml, V.A., and Malhotra, A., 2005. E-S-QUAL: a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
76. Petter, S., Straub, D., and Rai, A., 2007. Specifying formative constructs in information systems research. MIS Quarterly, 31 (4), 623-656.
77. Porter, M.E. and Teisberg, E.O., 2006. Redefining health care: creating value based competition on results. Boston: Harvard Business School Press.
78. Reynolds, N., and Smith, A. 2010. Assessing the impact of response styles on cross-cultural service quality evaluation: a simplified approach to eliminating the problem. Journal of Service Research, 13 (2), 230-243.
79. Rust, R.T., and Oliver, R.L., 1994. Service quality: insights and managerial implications from the frontier. In: R.T. Rust and R.L. Oliver, eds. Service quality: new directions in theory and practice. Thousand Oaks, CA: Sage, 1-19.
80. Saila, T., et al., 2008. Measuring patient assessments of the quality of outpatient care: a systematic review. Journal of Evaluation and Clinical Practice, 14 (1), 148-154.
81. Sirgy, J.M., 2001. Handbook of quality of life research. Dordrecht, the Netherlands: Kluwer.
82. Sobel, M., 1982. Asymptotic confidence intervals for indirect effects on structural equation models. In: S. Leinhardt, ed. Sociological Methodology, San Francisco, CA: Jossey-Bass, 290-312.
83. Sousa, R. and Voss, C., 2006. Service quality in multichannel services employing virtual channels. Journal of Service Research, 8 (4), 356-371.
84. Spreng, R.A., MacKenzie, S.B. and Olshavsky, R.W., 1996. A reexamination of the determinants of customer satisfaction. Journal of Marketing, 60 (3), 15-32.
85. Stone, M., 1974. Cross-validatory choice and assessment of statistical predictions (with discussion). Journal of the Royal Statistics Society, Series B, 36, 111-147.
86. Straub, D., and Watson, R.T., 2001. Research commentary: transformational issues in researching IS and netenabled organizations. Inform System Research, 12 (4), 337-345.
87. Szymanski, D.M., and Henard, D.H., 2001. Customer satisfaction: a meta analysis of the empirical evidence. Journal of Academy of Marketing science. 29 (1), 16-35.
88. Taylor, S.A., and 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 (2), 163-178.
89. Tenenhaus, M., et al., 2005. PLS path modelling. Computer Statistics and Data Analysis, 48 (1), 159-205.
90. Vargo, S.L. and Lusch, R.F., 2004. Evolving to a new dominant logic for marketing. Journal of Marketing, 68, 1-17.
91. Varshney, U., 2005. Pervasive healthcare: applications, challenges and wireless solutions. Communication of Association of Information System, 16 (3), 57-72.
92. Voss, C.A., et al., 2004. A tale of two countries' conservatism, service quality, and feedback on customer satisfaction. Journal of Service Research, 6 (3), 212-230.
93. Westbrook, R.A., 1981. Sources of consumer satisfaction with retail outlets. Journal of Retailing, 57, 68-85 (Fall).
94. Wetzels, M., Schroder, G.O., and Oppen, V.C., 2009. Using PLS path modelling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly, 33 (1), 177-195.
95. Wold, H., 1975. Soft modelling by latent variables: the nonlinear iterative partial least squares (NIPALS) approach. In: J. Gani, ed. Perspectives in probability and statistics: papers, in Honour of M.S. Bartlett on the occasion of his sixty-fifth birthday. London: Applied Probability Trust, Academic, 117-142.
96. Wold, H., 1982. Soft modelling: the basic design and somemextensions. In: K.G. Joreskog and H. Wold eds. Systems under indirect observation: causality, structure, prediction. Vol. 2.), Amsterdam: North Holland, 1-54.
97. Wold, H., 1985. Partial least squares In: S. Kotz and N.L. Johnson, eds. Encyclopedia of statistical sciences. Vol. 6. New York: Wiley, 581-591.
98. World Health Organization. 2008. The world health report. Primary healthcare - now more than ever.
99. Geneva: WHO. World Health Organization. 2011. mHealth: New horizons for health through mobile technologies: second global survey on eHealth. Geneva: WHO.
100. Woodside, A.G., Frey, L.L., and Daly, R.T., 1989. Linking service quality, customer satisfaction, and behavioural intention. Journal of Health Care Marketing, 9 (4), 5-17.
101. Zeithaml, V.A., 2000. Service quality, profitability, and the economic worth of customers: what we know and what we need to learn. Journal of Academy of Marketing Science, 28 (1), 67-85.