An empirical examination of users' post-adoption behaviour of mobile services

References

• Aldas-Manzano , J. , Ruiz-Mafe , C. and Sanz-Blas , S. 2009 . Exploring individual personality factors as drivers of M-shopping acceptance . Industrial Management & Data Systems , 109 ( 6 ) : 739 – 757 .
   Web of Science ®Google Scholar
• Anderson , E. W. and Sullivan , M. W. 1993 . The antecedents and consequences of customer satisfaction for firms . Marketing Science , 12 ( 2 ) : 125 – 143 .
   Web of Science ®Google Scholar
• Anderson , J. C. and Gerbing , D. W. 1988 . Structural equation modeling in practice: a review and recommended two-step approach . Psychological Bulletin , 103 ( 3 ) : 411 – 423 .
   Web of Science ®Google Scholar
• Bagozzi , R. P. and Yi , Y. 1988 . On the evaluation of structural equation models . Journal of the Academy of Marketing Science , 16 ( 1 ) : 74 – 94 .
   Google Scholar
• Bhattacherjee , A. 2001a . An empirical analysis of the antecedents of electronic commerce service continuance . Decision Support Systems , 32 ( 2 ) : 201 – 214 .
   Web of Science ®Google Scholar
• Bhattacherjee , A. 2001b . Understanding information systems continuance: an expectation-confirmation model . MIS Quarterly , 25 ( 3 ) : 351 – 370 .
   Web of Science ®Google Scholar
• Bhattacherjee , A. and Premkumar , G. 2004 . Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test . MIS Quarterly , 28 ( 2 ) : 229 – 254 .
   Web of Science ®Google Scholar
• Bougie , R. , Pieters , R. and Zeelenberg , M. 2003 . Angry customers don't come back, they get back: the experience and behavioral implications of anger and dissatisfaction in services . Journal of the Academy of Marketing Science , 31 ( 4 ) : 377 – 393 .
   Web of Science ®Google Scholar
• Chea , S. and Luo , M. M. 2008 . Post-adoption behaviours of e-service customers: the interplay of cognition and emotion . International Journal of Electronic Commerce , 12 ( 3 ) : 29 – 56 .
   Web of Science ®Google Scholar
• Chiu , C. M. 2009 . Understanding customers' loyalty intentions towards online shopping: an integration of technology acceptance model and fairness theory . Behaviour & Information Technology , 28 ( 4 ) : 347 – 360 .
   Web of Science ®Google Scholar
• Chung , N. and Kwon , S. J. 2009 . Effect of trust level on mobile banking satisfaction: a multi-group analysis of information system success instruments . Behaviour & Information Technology , 28 ( 6 ) : 549 – 562 .
   Web of Science ®Google Scholar
• CNNIC. 2009 . 24th Statistical Survey Report on the Internet Development in China, China Internet Network Information Center Available from: http://www.cnnic.cn [Accessed 3 December 2010]
   Google Scholar
• CNNIC . 2010 . 26th Statistical Survey Report on the Internet Development in China, China Internet Network Information Center Available from: http://www.cnnic.cn [Accessed 3 December 2010]
   Google Scholar
• Davis , F. D. 1989 . Perceived usefulness, perceived ease of use, and user acceptance of information technology . MIS Quarterly , 13 ( 3 ) : 319 – 340 .
   Web of Science ®Google Scholar
• Davis , F. D. , Bagozzi , R. P. and Warshaw , P. R. 1989 . User acceptance of computer technology: a comparison of two theoretical models . Management Science , 35 ( 8 ) : 982 – 1003 .
   Web of Science ®Google Scholar
• Fang , X. 2006 . Moderating effects of task type on wireless technology acceptance . Journal of Management Information Systems , 22 ( 3 ) : 123 – 157 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Gefen , D. and Straub , D. 2005 . A practical guide to factorial validity using PLS-Graph: tutorial and annotated example . Communications of the AIS , 2005 ( 16 ) : 91 – 109 .
   Google Scholar
• Gefen , D. , Straub , D. W. and Boudreau , M. C. 2000 . Structural equation modeling and regression: guidelines for research practice . Communications of the Association for Information Systems , 4 ( 7 ) : 1 – 70 .
   Google Scholar
• Goodhue , D. L. and Thompson , R. L. 1995 . Task-technology fit and individual performance . MIS Quarterly , 19 ( 2 ) : 213 – 236 .
   Web of Science ®Google Scholar
• Hong , S.-J. 2008 . Understanding the behavior of mobile data services consumers . Information Systems Frontier , 10 ( 4 ) : 431 – 445 .
   Web of Science ®Google Scholar
• Hsu , C.-L. , Lu , H.-P. and Hsu , H.-H. 2007 . Adoption of the mobile Internet: an empirical study of multimedia message service (MMS) . Omega , 35 ( 6 ) : 715 – 726 .
   Web of Science ®Google Scholar
• Huang , J. 2003 . Opportunities to learn from ‹failure› with electronic commerce: a case study of electronic banking . Journal of Information Technology , 18 ( 1 ) : 17 – 26 .
   Web of Science ®Google Scholar
• Jung , Y. , Perez-Mira , B. and Wiley-Patton , S. 2009 . Consumer adoption of mobile TV: examining psychological flow and media content . Computers in Human Behaviour , 25 ( 1 ) : 123 – 129 .
   Web of Science ®Google Scholar
• Junglas , I. , Abraham , C. and Watson , R. T. 2008 . Task-technology fit for mobile locatable information systems . Decision Support Systems , 45 ( 4 ) : 1046 – 1057 .
   Web of Science ®Google Scholar
• Junglas , I. A. and Watson , R. T. 2006 . The u-constructs: four information drives . Communications of the AIS , 17 ( 4 ) : 569 – 592 .
   Google Scholar
• Junglas , I. A. and Watson , R. T. 2008 . Location-based services . Communications of the ACM , 51 ( 3 ) : 65 – 69 .
   Web of Science ®Google Scholar
• Kim , G. , Shin , B. and Lee , H. G. 2009 . Understanding dynamics between initial trust and usage intentions of mobile banking . Information Systems Journal , 19 ( 3 ) : 283 – 311 .
   Web of Science ®Google Scholar
• Kim , S. S. and Son , J.-Y. 2009 . Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services . MIS Quarterly , 33 ( 1 ) : 49 – 70 .
   Web of Science ®Google Scholar
• Kuo , Y.-F. , Wu , C.-M. and Deng , W.-J. 2009 . The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services . Computers in Human Behaviour , 25 ( 4 ) : 887 – 896 .
   Web of Science ®Google Scholar
• Kuo , Y.-F. and Yen , S.-N. 2009 . Towards an understanding of the behavioral intention to use 3G mobile value-added services . Computers in Human Behaviour , 25 ( 1 ) : 103 – 110 .
   Web of Science ®Google Scholar
• Lee , C. C. , Cheng , H. K. and Cheng , H. H. 2007a . An empirical study of mobile commerce in insurance industry: task-technology fit and individual differences . Decision Support Systems , 43 ( 1 ) : 95 – 110 .
   Web of Science ®Google Scholar
• Lee , I. 2007b . Culture-technology fit: effects of cultural characteristics on the post-adoption beliefs of mobile Internet users . International Journal of Electronic Commerce , 11 ( 4 ) : 11 – 51 .
   Web of Science ®Google Scholar
• Lee , S. , Shin , B. and Lee , H. G. 2009 . Understanding post-adoption usage of mobile data services: the role of supplier-side variables . Journal of the Association for Information Systems , 10 ( 12 ) : 860 – 888 .
   Web of Science ®Google Scholar
• Lee , T. and Jun , J. 2007 . Contextual perceived value? Investigating the role of contextual marketing for customer relationship management in a mobile commerce context . Business Process Management Journal , 13 ( 6 ) : 798 – 814 .
   Google Scholar
• Lee , Y. E. and Benbasat , I. 2004 . A framework for the study of customer interface design for mobile commerce . International Journal of Electronic Commerce , 8 ( 3 ) : 79 – 102 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Lu , Y. , Deng , Z. and Wang , B. 2010 . Exploring factors affecting Chinese consumers' usage of short message service for personal communication . Information Systems Journal , 20 ( 2 ) : 183 – 208 .
   Web of Science ®Google Scholar
• Malhotra , N. K. , Kim , S. S. and Patil , A. 2006 . Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research . Management Science , 52 ( 12 ) : 1865 – 1883 .
   Web of Science ®Google Scholar
• Mallat , N. 2009 . The impact of use context on mobile services acceptance: the case of mobile ticketing . Information & Management , 46 ( 3 ) : 190 – 195 .
   Web of Science ®Google Scholar
• Nunnally , J. C. 1978 . Psychometric theory , New York : McGraw-Hill .
   Google Scholar
• Oliver , R. L. 1980 . A cognitive model of the antecedents and consequences of satisfaction decisions . Journal of Marketing Research , 17 ( 4 ) : 460 – 469 .
   Web of Science ®Google Scholar
• Oliver , R. L. 1993 . Cognitive, affective, and attribute bases of the satisfaction response . The Journal of Consumer Research , 20 ( 3 ) : 418 – 430 .
   Web of Science ®Google Scholar
• Park , J. , Yang , S. and Lehto , X. 2007 . Adoption of mobile technologies for Chinese consumers . Journal of Electronic Commerce Research , 8 ( 3 ) : 196 – 206 .
   Google Scholar
• Podsakoff , P. M. 2003 . Common method biases in behavioral research: a critical review of the literature and recommended remedies . Journal of Applied Psychology , 88 ( 5 ) : 879 – 903 .
   PubMed Web of Science ®Google Scholar
• Reichheld , F. F. and Schefter , P. 2000 . E-loyalty: your secret weapon on the Web . Harvard Business Review , : 105 – 113 .
   Web of Science ®Google Scholar
• Rogers , E. M. 1983 . Diffusion of innovations , New York : The Free Press .
   Google Scholar
• Shen , Y. C. 2010 . A benefit-cost perspective of the consumer adoption of the mobile banking system . Behaviour & Information Technology , 29 ( 5 ) : 497 – 511 .
   Web of Science ®Google Scholar
• Sheng , H. , Nah , F.F.-H. and Siau , K. 2008 . An experimental study on ubiquitous commerce adoption: impact of personalization and privacy concerns . Journal of the AIS , 9 ( 6 ) : 344 – 376 .
   Google Scholar
• Shin , D. H. 2009 . Understanding user acceptance of DMB in South Korea using the modified technology acceptance model . International Journal of Human-Computer Interaction , 25 ( 3 ) : 173 – 198 .
   Web of Science ®Google Scholar
• Shin , Y. M. 2010 . Examining influencing factors of post-adoption usage of mobile internet: focus on the user perception of supplier-side attributes . Information Systems Frontier , 12 (5), 595–606
   PubMed Web of Science ®Google Scholar
• Spreng , R. A. , MacKenzie , S. B. and Olshavsky , R. W. 1996 . A reexamination of the determinants of consumer satisfaction . Journal of Marketing , 60 ( 3 ) : 15 – 32 .
   Web of Science ®Google Scholar
• Straub , D. , Boudreau , M.-C. and Gefen , D. 2004 . Validation guidelines for IS positivist research . Communications of the AIS , 13 : 380 – 427 .
   Google Scholar
• Thong , J. Y.L. , Hong , S.-J. and Tam , K. Y. 2006 . The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance . International Journal of Human-Computer Studies , 64 ( 9 ) : 799 – 810 .
   Web of Science ®Google Scholar
• Tse , D. K. and Wilton , P. C. 1988 . Models of consumer satisfaction formation: an extension . Journal of Marketing Research , 25 ( 2 ) : 204 – 212 .
   Web of Science ®Google Scholar
• Venkatesh , V. 2003 . User acceptance of information technology: toward a unified view . MIS Quarterly , 27 ( 3 ) : 425 – 478 .
   Web of Science ®Google Scholar
• Wiedemann , D. G. , Haunstetter , T. and Pousttchi , K. Analyzing the basic elements of mobile viral marketing – an empirical study . 7th International Conference on Mobile Business . pp. 75 – 85 . Los Alamitos, CA : IEEE Computer Society . R. Austin, ed
   Google Scholar
• Wiedemann , D. G. , Palka , W. and Pousttchi , K. Understanding the determinants of mobile viral effects-towards a grounded theory of mobile viral marketing . 7th International Conference on Mobile Business . pp. 323 – 333 . Los Alamitos, CA : IEEE Computer Society . R. Austin, ed
   Google Scholar
• Wu , J. H. and Wang , S. C. 2005 . What drives mobile commerce? An empirical evaluation of the revised technology acceptance model . Information & Management , 42 ( 5 ) : 719 – 729 .
   Web of Science ®Google Scholar
• Xu , H. 2009 . The role of push – pull technology in privacy calculus: the case of location-based services . Journal of Management Information Systems , 26 ( 3 ) : 135 – 173 .
   Web of Science ®Google Scholar
• Xu , Z. and Yuan , Y. 2009 . The impact of context and incentives on mobile service adoption . International Journal of Mobile Communications , 7 ( 3 ) : 363 – 381 .
   Web of Science ®Google Scholar
• Yuan , Y. 2010 . Identifying the ideal fit between mobile work and mobile work support . Information & Management , 47 ( 3 ) : 125 – 137 .
   Web of Science ®Google Scholar
• Zhang , T. , Rau , P. L.P. and Salvendy , G. 2010 . Exploring critical usability factors for handsets . Behaviour & Information Technology , 29 ( 1 ) : 45 – 55 .
   Web of Science ®Google Scholar