Information Technology Continuance Intention: A Systematic Literature Review

International Journal of e-Business Research

Volumn 12, Issue 1, 2016, Pages 58-95

  Nabavi, Ali ^a   Taghavi Fard, Mohammad Taghi ^a   Hanafizadeh, Payam ^a   Taghva, Mohammad Reza ^a  

^a ALLAMEH TABATABA'I UNIVERSITY   (Iran)

Author keywords

Information Technology; IT Continuance Intention; Post adoption Intention; Research Issues; Systematic Literature Review

Indexed keywords

EID: 84957077961     PISSN: 15481131     EISSN: 1548114X     Source Type: Journal    
DOI: 10.4018/IJEBR.2016010104     Document Type: Review

References (229)

1. Ahuja, M. K., & Thatcher, J. B. (2005). Moving beyond intentions and toward the theory of trying: Effects of work environment and gender on post-Adoption information technology use. Management Information Systems Quarterly, 29(3), 427-459.
2. Ajjan, H., Hartshorne, R., Cao, Y., & Rodriguez, M. (2014). Continuance use intention of enterprise instant messaging: a knowledge management perspective. Behaviour & Information Technology, 33(7), 678-692.
3. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi:10.1016/0749-5978(91)90020-T
4. Akter, S., D'Ambra, J., Ray, P., & Hani, U. (2013). Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life. Behaviour & Information Technology, 32(12), 1225-1241. doi:10.1080/0144 929X.2012.745606
5. Akter, S., Ray, P., & D'Ambra, J. (2013). Continuance of mHealth services at the bottom of the pyramid: The roles of service quality and trust. Electronic Markets, 23(1), 29-47. doi:10.1007/s12525-012-0091-5
6. Al-Debei, M. M., Al-Lozi, E., & Papazafeiropoulou, A. (2013). Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems, 55(1), 43-54. doi:10.1016/j.dss.2012.12.032
7. Al-Maghrabi, T., & Dennis, C. (2011). What drives consumers' continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi Arabia. International Journal of Retail & Distribution Management, 39(12), 899-926. doi:10.1108/09590551111183308
8. Al-Maghrabi, T., Dennis, C., & Halliday, S. V. (2011). Antecedents of continuance intentions towards e-shopping: The case of Saudi Arabia. Journal of Enterprise Information Management, 24(1), 85-111. doi:10.1108/17410391111097447
9. Almahamid, S. M., & McAdams, A. C. (2010). Determinants of user continuance intention to use e-government. International Journal of Electronic Governance, 3(4), 343-372. doi:10.1504/IJEG.2010.038606
10. Alraimi, K. M., Zo, H., & Ciganek, A. P. (2015). Understanding the MOOCs continuance: The role of openness and reputation. Computers & Education, 80, 28-38. doi:10.1016/j.compedu.2014.08.006
11. Atchariyachanvanich, K., Okada, H., & Sonehara, N. (2007). What keeps online customers repurchasing through the internet? ACM SIGecom Exchanges, 6(2), 47-57. doi:10.1145/1228621.1228626
12. Barnes, S. J. (2011). Understanding use continuance in virtual worlds: Empirical test of a research model. Information & Management, 48(8), 313-319. doi:10.1016/j.im.2011.08.004
13. Barnes, S. J., & Pressey, A. D. (2014). Caught in the Web? Addictive behavior in cyberspace and the role of goalorientation. Technological Forecasting and Social Change, 86(0), 93-109. doi:10.1016/j.techfore.2013.08.024
14. Barnes, S. J., & Vidgen, R. T. (2014). Technology socialness and Web site satisfaction. Technological Forecasting and Social Change, 89, 12-25. doi:10.1016/j.techfore.2014.08.017
15. Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2014). Trust transfer in the continued usage of public e-services. Information & Management, 51(6), 627-640. doi:10.1016/j.im.2014.05.016
16. Benbasat, I., & Barki, H. (2007). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 7.
17. Benlian, A., Koufaris, M., & Hess, T. (2011). Service quality in software-As-A-service: Developing the SaaSQual measure and examining its role in usage continuance. Journal of Management Information Systems, 28(3), 85-126. doi:10.2753/MIS0742-1222280303
18. Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. doi:10.1016/S0167-9236(01)00111-7
19. Bhattacherjee, A. (2001b). Understanding information systems continuance: An expectation-confirmation model. Management Information Systems Quarterly, 25(3), 351-370. doi:10.2307/3250921
20. Bhattacherjee, A., & Barfar, A. (2011). Information technology continuance research: Current state and future directions. Asia Pacific Journal of Information Systems, 21(2), 1-18.
21. Bhattacherjee, A., & Lin, C.-P. (2014). A unified model of IT continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24, 364-373
22. Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: A theoretical extension and empirical test. Journal of Computer Information Systems, 49(1), 17-26.
23. Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. Management Information Systems Quarterly, 28(2), 229-254.
24. Boakye, K. G., McGinnis, T., Prybutok, V. R., & Paswan, A. K. (2014). Development of a service continance model with IT service antecedents. Journal of Retailing and Consumer Services, 21(5), 717-724. doi:10.1016/j. jretconser.2014.05.004
25. Bonsón, E., Escobar, T., & Ratkai, M. (2014). Testing the inter-relations of factors that may support continued use intention: The case of Facebook. Social Sciences Information. Information Sur les Sciences Sociales, 53(3), 293-310.
26. Cao, H., Jiang, J., Oh, L.-B., Li, H., Liao, X., & Chen, Z. (2013). A Maslow's hierarchy of needs analysis of social networking services continuance. Journal of Service Management, 24(2), 170-190. doi:10.1108/09564231311323953
27. Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008). Addressing the what and how of online services: Positioning supporting-services functionality and service quality for business-to-consumer success. Information Systems Research, 19(2), 161-181. doi:10.1287/isre.1070.0163
28. Chang, C.-C. (2013a). Examining users? intention to continue using social network games: A flow experience perspective. Telematics and Informatics, 30(4), 311-321. doi:10.1016/j.tele.2012.10.006
29. Chang, C.-C. (2013b). Exploring the determinants of e-learning systems continuance intention in academic libraries. Library Management, 34(1/2), 40-55. doi:10.1108/01435121311298261
30. Chang, C.-C., Liang, C., Yan, C.-F., & Tseng, J.-S. (2013). The impact of college students' intrinsic and extrinsic motivation on continuance intention to use English mobile learning systems. The Asia-Pacific Education Researcher, 22(2), 181-192. doi:10.1007/s40299-012-0011-7
31. Chang, C.-M., Hsu, M.-H., Hsu, C.-S., & Cheng, H.-L. (2014). Examining the role of perceived value in virtual communities continuance: Its antecedents and the influence of experience. Behaviour & Information Technology, 33(5), 502-521. doi:10.1080/0144929X.2012.745607
32. Chang, I.-C., Liu, C.-C., & Chen, K. (2014). The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games. Internet Research, 24(1), 21-45. doi:10.1108/IntR-02-2012-0025
33. Chang, Y. P., & Zhu, D. H. (2012). The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China. Computers in Human Behavior, 28(3), 995-1001. doi:10.1016/j.chb.2012.01.001
34. Chea, S., & Luo, M. M. (2008). Post-Adoption behaviors of e-service customers: The interplay of cognition and emotion. International Journal of Electronic Commerce, 12(3), 29-56. doi:10.2753/JEC1086-4415120303
35. Chen, I. Y. (2007). The factors influencing members' continuance intentions in professional virtual communities-A longitudinal study. Journal of Information Science, 33(4), 451-467. doi:10.1177/0165551506075323
36. Chen, L., Meservy, T. O., & Gillenson, M. (2012). Understanding information systems continuance for information-oriented mobile applications. Communications of AIS, 30, 127-146.
37. Chen, S. C. (2012). To use or not to use: Understanding the factors affecting continuance intention of mobile banking. International Journal of Mobile Communications, 10(5), 490-507. doi:10.1504/IJMC.2012.048883
38. Chen, S.-C., Chen, H.-H., & Chen, M.-F. (2009). Determinants of satisfaction and continuance intention towards self-service technologies. Industrial Management & Data Systems, 109(9), 1248-1263. doi:10.1108/02635570911002306
39. Chen, S.-C., Jong, D., & Lai, M.-T. (2014). Assessing the relationship between technology readiness and continuance intention in an E-Appointment system: Relationship quality as a mediator. Journal of Medical Systems, 38(9), 1-12. doi:10.1007/s10916-014-0076-3 PMID:25007955
40. Chen, S.-C., Yen, D. C., & Hwang, M. I. (2012). Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. Computers in Human Behavior, 28(3), 933-941. doi:10.1016/j.chb.2011.12.014
41. Chen, Y.-F. (2014). See you on Facebook: Exploring influences on Facebook continuous usage. Behaviour & Information Technology, 33(11), 1208-1218. doi:10.1080/0144929X.2013.826737
42. Chen, Y.-T., & Chou, T.-Y. (2012). Exploring the continuance intentions of consumers for B2C online shopping: Perspectives of fairness and trust. Online Information Review, 36(1), 104-125. doi:10.1108/14684521211209572
43. Cheng, Y.-M. (2014a). Extending the expectation-confirmation model with quality and flow to explore nurses' continued blended e-learning intention. Information Technology & People, 27(3), 230-258. doi:10.1108/ITP-01-2013-0024
44. Cheng, Y.-M. (2014b). Why do users intend to continue using the digital library? An integrated perspective. Aslib Journal of Information Management, 66(6), 640-662. doi:10.1108/AJIM-05-2013-0042
45. Cheung, C. M., Lee, M. K., & Lee, Z. W. (2013). Understanding the continuance intention of knowledge sharing in online communities of practice through the post?knowledge?sharing evaluation processes. Journal of the American Society for Information Science and Technology, 64(7), 1357-1374. doi:10.1002/asi.22854
46. Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners' satisfaction and Web?based learning continuance intention. Information Systems Journal, 17(3), 271-287. doi:10.1111/j.1365-2575.2007.00238.x
47. Chiu, C.-M., Hsu, M.-H., Lai, H., & Chang, C.-M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835-845. doi:10.1016/j.dss.2012.05.021
48. Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399-416. doi:10.1016/j.compedu.2004.06.001
49. Chiu, C.-M., Sun, S.-Y., Sun, P.-C., & Ju, T. L. (2007). An empirical analysis of the antecedents of web-based learning continuance. Computers & Education, 49(4), 1224-1245. doi:10.1016/j.compedu.2006.01.010
50. Chiu, C.-M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194-201. doi:10.1016/j.im.2008.02.003
51. Choi, H., Kim, Y., & Kim, J. (2011). Driving factors of post adoption behavior in mobile data services. Journal of Business Research, 64(11), 1212-1217. doi:10.1016/j.jbusres.2011.06.025
52. Chou, S.-W., & Chen, P.-Y. (2009). The influence of individual differences on continuance intentions of enterprise resource planning (ERP). International Journal of Human-Computer Studies, 67(6), 484-496. doi:10.1016/j. ijhcs.2009.01.001
53. Chou, S.-W., Min, H.-T., Chang, Y.-C., & Lin, C.-T. (2010). Understanding continuance intention of knowledge creation using extended expectation-confirmation theory: An empirical study of Taiwan and China online communities. Behaviour & Information Technology, 29(6), 557-570. doi:10.1080/01449290903401986
54. Courtois, C., Montrieux, H., De Grove, F., Raes, A., De Marez, L., & Schellens, T. (2014). Student acceptance of tablet devices in secondary education: A three-wave longitudinal cross-lagged case study. Computers in Human Behavior, 35, 278-286. doi:10.1016/j.chb.2014.03.017
55. Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. The Jossey-Bass behavioral science series.
56. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. doi:10.2307/249008
57. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi:10.1287/mnsc.35.8.982
58. 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
59. 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.
60. Delone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47.
61. Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010). User experience, satisfaction, and continual usage intention of IT. European Journal of Information Systems, 19(1), 60-75. doi:10.1057/ejis.2009.50
62. Dong, T.-P., Cheng, N.-C., & Wu, Y.-C. J. (2014). A study of the social networking website service in digital content industries: The Facebook case in Taiwan. Computers in Human Behavior, 30, 708-714. doi:10.1016/j. chb.2013.07.037
63. Doong, H.-S., & Lai, H. (2008). Exploring usage continuance of e-negotiation systems: Expectation and disconfirmation approach. Group Decision and Negotiation, 17(2), 111-126. doi:10.1007/s10726-007-9082-x
64. Fink, A. (2005). Conducting Research Literature Reviews: From the Internet to Paper. SAGE Publications.
65. Finneran, C. M., & Zhang, P. (2005). Flow in computer-mediated environments: Promises and challenges. Communications of the Association for Information Systems, 15(1), 4.
66. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
67. Fuglseth, A. M., & Sørebø, O. (2014). The effects of technostress within the context of employee use of ICT. Computers in Human Behavior, 40, 161-170. doi:10.1016/j.chb.2014.07.040
68. Furneaux, B., & Wade, M. (2011). An Exploration of Organizational Level Information Systems Discontinuance Intentions. Management Information Systems Quarterly, 35(3), 573-598.
69. Gao, L., & Bai, X. (2014). An empirical study on continuance intention of mobile social networking services. Asia Pacific Journal of Marketing and Logistics, 26(2), 168-189. doi:10.1108/APJML-07-2013-0086
70. Gao, S., Krogstie, J., Chen, Z., & Zhou, W. (2014). Lifestyles and Mobile Services Adoption in China. International Journal of E-Business Research, 10(3), 36-53. doi:10.4018/ijebr.2014070103
71. Gerpott, T. J. (2011). Attribute Perceptions as Factors Explaining Mobile Internet Acceptance of Cellular Customers in Germany: An Empirical Study Comparing Actual and Potential Adopters with Distinct Categories of Access Appliances. International Journal of E-Business Research, 7(1), 1-22. doi:10.4018/jebr.2011010101
72. Gwebu, K. L., Wang, J., & Guo, L. (2014). Continued usage intention of multifunctional friend networking services: A test of a dual-process model using Facebook. Decision Support Systems, 67, 66-77. doi:10.1016/j. dss.2014.08.004
73. Halilovic, S., & Cicic, M. (2013). Antecedents of information systems user behaviour-extended expectationconfirmation model. Behaviour & Information Technology, 32(4), 359-370. doi:10.1080/0144929X.2011.554575
74. Hanafizadeh, P., Keating, B. W., & Khedmatgozar, H. R. (2014). A systematic review of Internet banking adoption. Telematics and Informatics, 31(3), 492-510.
75. Hanafizadeh, P., Ravasan, A. Z., Nabavi, A., & Mehrabioun, M. (2012). A literature review on the business impacts of social network sites. International Journal of Virtual Communities and Social Networking, 4(1), 46-60. doi:10.4018/jvcsn.2012010104
76. Hayashi, A., Chen, C., Ryan, T., & Wu, J. (2004). The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of e-learning systems. Journal of Information Systems Education, 15, 139-154.
77. Hernández-Ortega, B. (2011). The role of post-use trust in the acceptance of a technology: Drivers and consequences. Technovation, 31(10-11), 523-538. doi:10.1016/j.technovation.2011.07.001
78. Hernandez-Ortega, B., Serrano-Cinca, C., & Gomez-Meneses, F. (2014). The firm's continuance intentions to use inter-organizational ICTs: The influence of contingency factors and perceptions. Information & Management, 51(6), 747-761. doi:10.1016/j.im.2014.06.003
79. Hoehle, H., Scornavacca, E., & Huff, S. (2012). Three decades of research on consumer adoption and utilization of electronic banking channels: A literature analysis. Decision Support Systems, 54(1), 122-132. doi:10.1016/j. dss.2012.04.010
80. Hong, J.-C., Hwang, M.-Y., Liu, M.-C., Ho, H.-Y., & Chen, Y.-L. (2014). Using a "prediction-observation-explanation" inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure. Computers & Education, 72, 110-120. doi:10.1016/j.compedu.2013.10.004
81. Hong, S., Thong, J. Y., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), 1819-1834. doi:10.1016/j.dss.2006.03.009
82. Hong, S.-J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information Systems Research, 17(2), 162-179. doi:10.1287/isre.1060.0088
83. Hong, W., Thong, J. Y., Chasalow, L. C., & Dhillon, G. (2011). User acceptance of agile information systems: A model and empirical test. Journal of Management Information Systems, 28(1), 235-272. doi:10.2753/MIS0742-1222280108
84. Hossain, M. A., & Quaddus, M. (2011). The adoption and continued usage intention of RFID: An integrated framework. Information Technology & People, 24(3), 236-256. doi:10.1108/09593841111158365
85. Hsiao, W.-H., & Chang, T.-S. (2014). Understanding consumers' continuance intention towards mobile advertising: A theoretical framework and empirical study. Behaviour & Information Technology, 33(7), 730-742. doi:10.1080/0144929X.2013.789081
86. Hsieh, J. P.-A., & Wang, W. (2007). Explaining employees' extended use of complex information systems. European Journal of Information Systems, 16(3), 216-227. doi:10.1057/palgrave.ejis.3000663
87. Hsieh, T.-C., Chen, S.-L., & Hung, M.-C. (2014). Longitudinal test of ePortfolio continuous use: an empirical study on the change of students' beliefs. Behaviour & Information Technology, 34(8), 838-853.
88. Hsu, C. L., & Lin, A. J. (2013). The effect of community identity on continuance intention of microblogging. International Journal of Electronic Business, 10(4), 355-382. doi:10.1504/IJEB.2013.056784
89. Hsu, C.-L., Yu, C.-C., & Wu, C.-C. (2014). Exploring the continuance intention of social networking websites: an empirical research. Information Systems and e-Business Management, 12(2), 139-163.
90. Hsu, M.-H., & Chiu, C.-M. (2004). Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour & Information Technology, 23(5), 359-373. doi:10.1080/01449290410001669969
91. Hsu, M. H., Chiu, C. M., & Ju, T. L. (2004). Determinants of continued use of the WWW: An integration of two theoretical models. Industrial Management & Data Systems, 104(9), 766-775. doi:10.1108/02635570410567757
92. Huang, J.-W., & Lin, C.-P. (2011). To stick or not to stick: The social response theory in the development of continuance intention from organizational cross-level perspective. Computers in Human Behavior, 27(5), 1963-1973. doi:10.1016/j.chb.2011.05.003
93. Huang, T. C.-K., Wu, I.-L., & Chou, C.-C. (2013). Investigating use continuance of data mining tools. International Journal of Information Management, 33(5), 791-801. doi:10.1016/j.ijinfomgt.2013.05.007
94. Hung, M.-C., Chang, I., & Hwang, H.-G. (2011). Exploring academic teachers' continuance toward the webbased learning system: The role of causal attributions. Computers & Education, 57(2), 1530-1543. doi:10.1016/j. compedu.2011.02.001
95. Hung, M.-C., Hwang, H.-G., & Hsieh, T.-C. (2007). An exploratory study on the continuance of mobile commerce: An extended expectation-confirmation model of information system use. International Journal of Mobile Communications, 5(4), 409-422. doi:10.1504/IJMC.2007.012788
96. Jasperson, J. S., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-Adoptive behaviors associated with information technology enabled work systems. Management Information Systems Quarterly, 29(3), 525-557.
97. Jin, X.-L., Cheung, C. M., Lee, M. K., & Chen, H.-P. (2009). How to keep members using the information in a computer-supported social network. Computers in Human Behavior, 25(5), 1172-1181. doi:10.1016/j. chb.2009.04.008
98. Jin, X.-L., Lee, M. K., & Cheung, C. M. (2010). Predicting continuance in online communities: Model development and empirical test. Behaviour & Information Technology, 29(4), 383-394. doi:10.1080/01449290903398190
99. Jula, A., Sundararajan, E., & Othman, Z. (2014). Cloud computing service composition: A systematic literature review. Expert Systems with Applications, 41(8), 3809-3824. doi:10.1016/j.eswa.2013.12.017
100. Jung, Y. (2011). Understanding the role of sense of presence and perceived autonomy in users' continued use of social virtual worlds. Journal of Computer-Mediated Communication, 16(4), 492-510. doi:10.1111/j.1083-6101.2011.01540.x
101. Jung, Y., Perez-Mira, B., & Wiley-Patton, S. (2009). Consumer adoption of mobile TV: Examining psychological flow and media content. Computers in Human Behavior, 25(1), 123-129. doi:10.1016/j.chb.2008.07.011
102. Kang, H., Lee, M. J., & Lee, J. K. (2012). Are you still with us? A study of the post-Adoption determinants of sustained use of mobile-banking services. Journal of Organizational Computing and Electronic Commerce, 22(2), 132-159. doi:10.1080/10919392.2012.667710
103. Kang, Y. J., & Lee, W. J. (2014). Self-customization of online service environments by users and its effect on their continuance intention. Service Business, 9(2), 321-342.
104. Kang, Y. S., Hong, S., & Lee, H. (2009). Exploring continued online service usage behavior: The roles of selfimage congruity and regret. Computers in Human Behavior, 25(1), 111-122. doi:10.1016/j.chb.2008.07.009
105. Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353-364. doi:10.1016/j.chb.2009.11.006
106. Kang, Y. S., Min, J., Kim, J., & Lee, H. (2013). Roles of alternative and self-oriented perspectives in the context of the continued use of social network sites. International Journal of Information Management, 33(3), 496-511. doi:10.1016/j.ijinfomgt.2012.12.004
107. Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A crosssectional comparison of pre-Adoption and post-Adoption beliefs. Management Information Systems Quarterly, 23(2), 183-213. doi:10.2307/249751
108. Kettinger, W. J., Park, S.-H., & Smith, J. (2009). Understanding the consequences of information systems service quality on IS service reuse. Information & Management, 46(6), 335-341. doi:10.1016/j.im.2009.03.004
109. Kim, B. (2010). An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model. Expert Systems with Applications, 37(10), 7033-7039. doi:10.1016/j.eswa.2010.03.015
110. Kim, B. (2011). Understanding antecedents of continuance intention in social-networking services. Cyberpsychology, Behavior, and Social Networking, 14(4), 199-205. doi:10.1089/cyber.2010.0009 PMID:21192764
111. Kim, B. (2012). The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents. Telecommunications Policy, 36(1), 69-81. doi:10.1016/j.telpol.2011.11.011
112. Kim, B., & Oh, J. (2011). The difference of determinants of acceptance and continuance of mobile data services: A value perspective. Expert Systems with Applications, 38(3), 1798-1804. doi:10.1016/j.eswa.2010.07.107
113. Kim, H., Lee, I., & Kim, J. (2008). Maintaining continuers vs. converting discontinuers: Relative importance of post-Adoption factors for mobile data services. International Journal of Mobile Communications, 6(1), 108-132. doi:10.1504/IJMC.2008.016007
114. Kim, H.-W., Chan, H. C., & Chan, Y. P. (2007). A balanced thinking-feelings model of information systems continuance. International Journal of Human-Computer Studies, 65(6), 511-525. doi:10.1016/j.ijhcs.2006.11.009
115. Kim, J., Hong, S., Min, J., & Lee, H. (2011). Antecedents of application service continuance: A synthesis of satisfaction and trust. Expert Systems with Applications, 38(8), 9530-9542. doi:10.1016/j.eswa.2011.01.142
116. Kim, K., Hwang, J., Zo, H., & Lee, H. (2014). Understanding users' continuance intention toward smartphone augmented reality applications. Information Development. doi:10.1177/0266666914535119
117. Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741-755. doi:10.1287/mnsc.1040.0326
118. Kim, S. S., & 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. Management Information Systems Quarterly, 33(1), 49-70.
119. Kim, Y.-Y., Kim, M.-H., & Oh, S. (2013). Emerging factors affecting the continuance of online gaming: The roles of bridging and bonding social factors. Cluster Computing, 17(3), 849-859.
120. Kourouthanassis, P., Lekakos, G., & Gerakis, V. (2015). Should I stay or should I go? The moderating effect of self-image congruity and trust on social networking continued use. Behaviour & Information Technology, 34(2), 190-203.
121. Ku, Y.-C., Chen, R., & Zhang, H. (2013). Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan. Information & Management, 50(7), 571-581. doi:10.1016/j. im.2013.07.011
122. Kuo, Y.-F., Wu, C.-M., & 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 Behavior, 25(4), 887-896. doi:10.1016/j.chb.2009.03.003
123. Lankton, N., McKnight, D. H., & Thatcher, J. B. (2014). Incorporating trust-in-technology into Expectation Disconfirmation Theory. The Journal of Strategic Information Systems, 23(2), 128-145. doi:10.1016/j. jsis.2013.09.001
124. Lankton, N. K., Wilson, E. V., & Mao, E. (2010). Antecedents and determinants of information technology habit. Information & Management, 47(5-6), 300-307. doi:10.1016/j.im.2010.06.004
125. Larsen, T. J., Sørebø, A. M., & Sørebø, O. (2009). The role of task-technology fit as users' motivation to continue information system use. Computers in Human Behavior, 25(3), 778-784. doi:10.1016/j.chb.2009.02.006
126. Lee, I., Choi, B., Kim, J., & Hong, S.-J. (2007). 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. doi:10.2753/JEC1086-4415110401
127. Lee, M.-C. (2010). Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers & Education, 54(2), 506-516. doi:10.1016/j.compedu.2009.09.002
128. Lee, M.-C., & Tsai, T.-R. (2010). What drives people to continue to play online games? An extension of technology model and theory of planned behavior. International Journal of Human-Computer Interaction, 26(6), 601-620. doi:10.1080/10447311003781318
129. Lee, S., Shin, B., & 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), 2.
130. Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 50.
131. Lee, Y., & Kwon, O. (2011). Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services. Electronic Commerce Research and Applications, 10(3), 342-357. doi:10.1016/j.elerap.2010.11.005
132. Li, H., & Liu, Y. (2014). Understanding post-Adoption behaviors of e-service users in the context of online travel services. Information & Management, 51(8), 1043-1052. doi:10.1016/j.im.2014.07.004
133. Liang, T.-P., Ling, Y.-L., Yeh, Y.-H., & Lin, B. (2013). Contextual factors and continuance intention of mobile services. International Journal of Mobile Communications, 11(4), 313-329. doi:10.1504/IJMC.2013.055746
134. Liang, T.-P., & Yeh, Y.-H. (2011). Effect of use contexts on the continuous use of mobile services: The case of mobile games. Personal and Ubiquitous Computing, 15(2), 187-196. doi:10.1007/s00779-010-0300-1
135. Liao, C., Chen, J.-L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822. doi:10.1016/j.chb.2006.05.006
136. Liao, C., Palvia, P., & Chen, J.-L. (2009). Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT). International Journal of Information Management, 29(4), 309-320. doi:10.1016/j.ijinfomgt.2009.03.004
137. Liao, C., Palvia, P., & Lin, H.-N. (2010). Stage antecedents of consumer online buying behavior. Electronic Markets, 20(1), 53-65. doi:10.1007/s12525-010-0030-2
138. Liao, H.-L., Liu, S.-H., Pi, S.-M., & Chou, Y.-J. (2011). Factors Affecting Lifelong Learners' Intention to Continue Using E-Learning Website: An Empirical Study. In X. Luo, Y. Cao, B. Yang, J. Liu, & F. Ye (Eds.), New Horizons in Web-Based Learning-ICWL 2010 Workshops (Vol. 6537, pp. 112-119). Springer Berlin Heidelberg. doi:10.1007/978-3-642-20539-2-13
139. Limayem, M., & Cheung, C. M. (2008). Understanding information systems continuance: The case of Internetbased learning technologies. Information & Management, 45(4), 227-232. doi:10.1016/j.im.2008.02.005
140. Limayem, M., & Cheung, C. M. (2011). Predicting the continued use of Internet-based learning technologies: The role of habit. Behaviour & Information Technology, 30(1), 91-99. doi:10.1080/0144929X.2010.490956
141. Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. Management Information Systems Quarterly, 31(4), 705-737.
142. Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683-693. doi:10.1016/j.im.2004.04.003
143. Lin, H., Fan, W., & Chau, P. Y. (2014). Determinants of users' continuance of social networking sites: A selfregulation perspective. Information & Management, 51(5), 595-603. doi:10.1016/j.im.2014.03.010
144. Lin, H.-F. (2013). Examining the factors influencing knowledge management system adoption and continuance intention. Knowledge Management Research & Practice, 11(4), 389-404. doi:10.1057/kmrp.2012.24
145. Lin, J., & Rivera-Sánchez, M. (2012). Testing the information technology continuance model on a mandatory SMS-based student response system. Communication Education, 61(2), 89-110. doi:10.1080/03634523.2011 .654231
146. Lin, K.-M., Chen, N.-S., & Fang, K. (2011). Understanding e-learning continuance intention: A negative critical incidents perspective. Behaviour & Information Technology, 30(1), 77-89. doi:10.1080/01449291003752948
147. Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161. doi:10.1016/j. chb.2010.12.009
148. Lin, T.-C., Wu, S., Hsu, J. S.-C., & Chou, Y.-C. (2012). The integration of value-based adoption and expectation-confirmation models: An example of IPTV continuance intention. Decision Support Systems, 54(1), 63-75. doi:10.1016/j.dss.2012.04.004
149. Lin, W.-S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and tasktechnology fit perspectives. International Journal of Human-Computer Studies, 70(7), 498-507. doi:10.1016/j. ijhcs.2012.01.006
150. Lin, Y.-M., & Shih, D.-H. (2008). Deconstructing mobile commerce service with continuance intention. International Journal of Mobile Communications, 6(1), 67-87. doi:10.1504/IJMC.2008.016000
151. Liu, C., & Forsythe, S. (2010). Post-Adoption online shopping continuance. International Journal of Retail & Distribution Management, 38(2), 97-114. doi:10.1108/09590551011020110
152. Lu, H.-P., & Lee, M.-R. (2012). Experience differences and continuance intention of blog sharing. Behaviour & Information Technology, 31(11), 1081-1095. doi:10.1080/0144929X.2011.611822
153. Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134-159. doi:10.1108/IntR-05-2012-0100
154. Mäntymäki, M., & Islam, A. N. (2014). Social virtual world continuance among teens: Uncovering the moderating role of perceived aggregate network exposure. Behaviour & Information Technology, 33(5), 536-547. doi:10. 1080/0144929X.2013.872190
155. Mäntymäki, M., & Riemer, K. (2014). Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel. International Journal of Information Management, 34(2), 210-220. doi:10.1016/j.ijinfomgt.2013.12.010
156. Mäntymäki, M., & Salo, J. (2011). Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel. Computers in Human Behavior, 27(6), 2088-2097. doi:10.1016/j.chb.2011.06.003
157. Medina Molina, C., Rufín Moreno, R., & Rey Moreno, M. (2013). Previous beliefs and continuance intention. The International Entrepreneurship and Management Journal, 9(2), 199-216. doi:10.1007/s11365-013-0252-9
158. Mohamed, N., Hussein, R., Hidayah Ahmad Zamzuri, N., & Haghshenas, H. (2014). Insights into individual's online shopping continuance intention. Industrial Management & Data Systems, 114(9), 1453-1476. doi:10.1108/IMDS-07-2014-0201
159. Nevo, S., Nevo, D., & Kim, H. (2012). From recreational applications to workplace technologies: An empirical study of cross-context IS continuance in the case of virtual worlds. Journal of Information Technology, 27(1), 74-86. doi:10.1057/jit.2011.18
160. Ng, E. H., & Kwahk, K.-Y. (2010). Examining the determinants of Mobile Internet service continuance: A customer relationship development perspective. International Journal of Mobile Communications, 8(2), 210-229. doi:10.1504/IJMC.2010.031448
161. Nicolaou, A. I., & McKnight, D. H. (2011). System design features and repeated use of electronic data exchanges. Journal of Management Information Systems, 28(2), 269-304. doi:10.2753/MIS0742-1222280210
162. Nord, J. H., & Nord, G. D. (1995). MIS research: Journal status assessment and analysis. Information & Management, 29(1), 29-42. doi:10.1016/0378-7206(95)00010-T
163. Okoli, C., & Schabram, K. (2010). A guide to conducting a systematic literature review of information systems research. Doi:10.2139/ssrn.1954824
164. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. JMR, Journal of Marketing Research, 17(4), 460-469. doi:10.2307/3150499
165. Orlikowski, W. J., & Baroudi, J. J. (1991). Studying information technology in organizations: Research approaches and assumptions. Information Systems Research, 2(1), 1-28. doi:10.1287/isre.2.1.1
166. Ortiz de Guinea, A., & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. Management Information Systems Quarterly, 33(3), 3.
167. Paré, G., Trudel, M.-C., Jaana, M., & Kitsiou, S. (2015). Synthesizing information systems knowledge: A typology of literature reviews. Information & Management, 52(2), 183-199. doi:10.1016/j.im.2014.08.008
168. Park, J.-H. (2014). The effects of personalization on user continuance in social networking sites. Information Processing & Management, 50(3), 462-475. doi:10.1016/j.ipm.2014.02.002
169. Premkumar, G., & Bhattacherjee, A. (2008). Explaining information technology usage: A test of competing models. Omega, 36(1), 64-75. doi:10.1016/j.omega.2005.12.002
170. Recker, J. (2010). Continued use of process modeling grammars: The impact of individual difference factors. European Journal of Information Systems, 19(1), 76-92. doi:10.1057/ejis.2010.5
171. Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human-Computer Studies, 64(8), 683-696. doi:10.1016/j.ijhcs.2006.01.003
172. Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585-1604. doi:10.1016/j. chb.2007.06.001
173. Ruth, R. D. (2012). Conversation as a source of satisfaction and continuance in a question-And-Answer site. European Journal of Information Systems, 21(4), 427-437. doi:10.1057/ejis.2011.42
174. Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information & Management, 45(6), 376-386. doi:10.1016/j.im.2008.06.002
175. Setterstrom, A. J., Pearson, J. M., & Orwig, R. A. (2013). Web-enabled wireless technology: An exploratory study of adoption and continued use intentions. Behaviour & Information Technology, 32(11), 1139-1154. do i:10.1080/0144929X.2012.708785
176. Shaikh, A. A., & Karjaluoto, H. (2015). Making the most of information technology & systems usage: A literature review, framework and future research agenda. Computers in Human Behavior, 49, 541-566. doi:10.1016/j. chb.2015.03.059
177. Sharkey, U., Scott, M., & Acton, T. (2010). The Influence of Quality on E-Commerce Success: An Empirical Application of the Delone and Mclean IS Success Model. International Journal of E-Business Research, 6(1), 68-84. doi:10.4018/jebr.2010100905
178. Shiau, W.-L., & Chau, P. Y. (2012). Understanding blog continuance: A model comparison approach. Industrial Management & Data Systems, 112(4), 663-682. doi:10.1108/02635571211225530
179. Shiau, W.-L., & Luo, M. M. (2013). Continuance intention of blog users: The impact of perceived enjoyment, habit, user involvement and blogging time. Behaviour & Information Technology, 32(6), 570-583. doi:10.108 0/0144929X.2012.671851
180. Shih, H.-P. (2008). Continued use of a Chinese online portal: An empirical study. Behaviour & Information Technology, 27(3), 201-209. doi:10.1080/01449290600802403
181. Shin, Y. M., Lee, S. C., Shin, B., & Lee, H. G. (2010). Examining influencing factors of post-Adoption usage of mobile internet: Focus on the user perception of supplier-side attributes. Information Systems Frontiers, 12(5), 595-606. doi:10.1007/s10796-009-9184-x
182. Shu, W. (2013). Continual use of microblogs. Behaviour & Information Technology, 33(7), 666-677. doi:10.1 080/0144929X.2013.816774
183. Son, M., & Han, K. (2011). Beyond the technology adoption: Technology readiness effects on post-Adoption behavior. Journal of Business Research, 64(11), 1178-1182. doi:10.1016/j.jbusres.2011.06.019
184. Song, J., & Walden, E. (2007). How consumer perceptions of network size and social interactions influence the intention to adopt peer-to-peer technologies. International Journal of E-Business Research, 3(4), 49-66. doi:10.4018/jebr.2007100103
185. Sørebø, O., & Eikebrokk, T. R. (2008). Explaining IS continuance in environments where usage is mandatory. Computers in Human Behavior, 24(5), 2357-2371. doi:10.1016/j.chb.2008.02.011
186. Sørebø, O., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology. Computers & Education, 53(4), 1177-1187. doi:10.1016/j.compedu.2009.06.001
187. Spiller, J., Vlasic, A., & Yetton, P. (2007). Post-Adoption behavior of users of internet service providers. Information & Management, 44(6), 513-523. doi:10.1016/j.im.2007.01.003
188. Stone, R. W., & Baker-Eveleth, L. (2013). Students' expectation, confirmation, and continuance intention to use electronic textbooks. Computers in Human Behavior, 29(3), 984-990. doi:10.1016/j.chb.2012.12.007
189. Sun, H. (2013). A longitudinal study of herd behavior in the adoption and continued use of technology. Management Information Systems Quarterly, 37(4), 1013-1041.
190. Sun, Y., & Jeyaraj, A. (2013). Information technology adoption and continuance: A longitudinal study of individuals' behavioral intentions. Information & Management, 50(7), 457-465. doi:10.1016/j.im.2013.07.005
191. Tang, J.-E., Tang, T.-I., & Chiang, C.-H. (2014). Blog learning: Effects of users' usefulness and efficiency towards continuance intention. Behaviour & Information Technology, 33(1), 36-50. doi:10.1080/0144929X.2012.687772
192. Tao, Y.-H., Cheng, C.-J., & Sun, S.-Y. (2009). What influences college students to continue using business simulation games? The Taiwan experience. Computers & Education, 53(3), 929-939. doi:10.1016/j. compedu.2009.05.009
193. Taufique, K. M. R., & Shahriar, F. M. (2013). Adoption of Online Social Media Innovation: Who's Inside the Spectrum? International Journal of E-Business Research, 9(1), 21-35. doi:10.4018/jebr.2013010102
194. Teo, T. S., Srivastava, S. C., & Jiang, L. (2008). Trust and electronic government success: An empirical study. Journal of Management Information Systems, 25(3), 99-132. doi:10.2753/MIS0742-1222250303
195. Terzis, V., Moridis, C. N., & Economides, A. A. (2013). Continuance acceptance of computer based assessment through the integration of user's expectations and perceptions. Computers & Education, 62, 50-61. doi:10.1016/j. compedu.2012.10.018
196. Thong, J. Y., Hong, S.-J., & Tam, K. Y. (2006). The effects of post-Adoption beliefs on the expectationconfirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799-810. doi:10.1016/j.ijhcs.2006.05.001
197. Tsai, H.-T., Chien, J.-L., & Tsai, M.-T. (2014). The influences of system usability and user satisfaction on continued Internet banking services usage intention: Empirical evidence from Taiwan. Electronic Commerce Research, 14(2), 137-169.
198. Vatanasombut, B., Igbaria, M., Stylianou, A. C., & Rodgers, W. (2008). Information systems continuance intention of web-based applications customers: The case of online banking. Information & Management, 45(7), 419-428. doi:10.1016/j.im.2008.03.005
199. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425-478.
200. Venkatesh, V., Thong, J. Y., Chan, F. K., Hu, P. J. H., & Brown, S. A. (2011). Extending the two?stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527-555. doi:10.1111/j.1365-2575.2011.00373.x
201. Wang, D., Xu, L., & Chan, H. C. (2014). Understanding the continuance use of social network sites: a computer self-efficacy perspective. Behaviour & Information Technology 34(2), 204-216.
202. Wang, J.-C., & Chiang, M.-J. (2009). Social interaction and continuance intention in online auctions: A social capital perspective. Decision Support Systems, 47(4), 466-476. doi:10.1016/j.dss.2009.04.013
203. Wang, T., Oh, L.-B., Wang, K., & Yuan, Y. (2013). User adoption and purchasing intention after free trial: an empirical study of mobile newspapers. Information Systems and e-Business Management, 11(2), 189-210.
204. Webster, J., Trevino, L. K., & Ryan, L. (1994). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411-426. doi:10.1016/0747-5632(93)90032-N
205. Williams, M. D., Dwivedi, Y. K., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1-10. doi:10.1057/jit.2008.30
206. Wilson, E. V., Mao, E., & Lankton, N. K. (2010). The distinct roles of prior IT use and habit strength in predicting continued sporadic use of IT.
207. Wu, B., & Zhang, C. (2014). Empirical study on continuance intentions towards E-Learning 2.0 systems. Behaviour & Information Technology, 33(10), 1027-1038. doi:10.1080/0144929X.2014.934291
208. Wu, C.-C., Huang, Y., & Hsu, C.-L. (2014). Benevolence trust: a key determinant of user continuance use of online social networks. Information Systems and e-Business Management, 12(2), 189-211.
209. Wu, C.-G., Gerlach, J. H., & Young, C. E. (2007). An empirical analysis of open source software developers' motivations and continuance intentions. Information & Management, 44(3), 253-262.
210. Wu, M.-C., & Kuo, F.-Y. (2008). An empirical investigation of habitual usage and past usage on technology acceptance evaluations and continuance intention. ACM Sigmis Database, 39(4), 48-73.
211. Wu, X., Chen, Q., Sheng, L., & Wang, Y. (2009). A conceptual model of m-commerce customers' continuance intention based on the customers' perceived value. International Journal of Mobile Learning and Organisation, 3(3), 243-257.
212. Yeh, R. K.-J., & Teng, J. T. (2012). Extended conceptualisation of perceived usefulness: Empirical test in the context of information system use continuance. Behaviour & Information Technology, 31(5), 525-540.
213. Yuan, S., Liu, Y., Yao, R., & Liu, J. (2014). An investigation of users' continuance intention towards mobile banking in China. Information Development; doi:10.1177/0266666914522140
214. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.
215. Zhang, J. X., Zhang, H., Ordóñez de Pablos, P., & Sun, Y. (2014). Challenges and Foresights of Global Virtual Worlds Markets. Journal of Global Information Technology Management, 17(2), 69-73.
216. Zhang, Y., Fang, Y., Wei, K.-K., & Wang, Z. (2012). Promoting the intention of students to continue their participation in e-learning systems: The role of the communication environment. Information Technology & People, 25(4), 356-375.
217. Zhao, K., Stylianou, A. C., & Zheng, Y. (2013). Predicting users' continuance intention in virtual communities: The dual intention-formation processes. Decision Support Systems, 55(4), 903-910.
218. Zhao, L., & Lu, Y. (2012). Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention. Decision Support Systems, 53(4), 825-834.
219. Zhao, L., Lu, Y., Zhang, L., & Chau, P. Y. (2012). Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-Added services: An empirical test of a multidimensional model. Decision Support Systems, 52(3), 645-656.
220. Zheng, Y., Zhao, K., & Stylianou, A. (2013). The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems, 56, 513-524.
221. Zhou, T. (2011). Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow. Information Development, 27(3), 207-218.
222. Zhou, T. (2013a). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091.
223. Zhou, T. (2013b). Examining continuance usage of mobile Internet services from the perspective of resistance to change. Information Development; doi:10.1177/0266666912468762
224. Zhou, T. (2014a). Understanding continuance usage intention of mobile internet sites. Universal Access in the Information Society, 13(3), 329-337.
225. Zhou, T. (2014b). Understanding the determinants of mobile payment continuance usage. Industrial Management & Data Systems, 114(6), 6.
226. Zhou, T., & Lu, Y. (2011). Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior, 27(2), 883-889.
227. Zhou, Z., Fang, Y., Vogel, D. R., Jin, X.-L., & Zhang, X. (2012). Attracted to or locked in? Predicting continuance intention in social virtual world services. Journal of Management Information Systems, 29(1), 273-306.
228. Zhou, Z., Jin, X.-L., & Fang, Y. (2014). Moderating role of gender in the relationships between perceived benefits and satisfaction in social virtual world continuance. Decision Support Systems, 65, 69-75.
229. Zhou, Z., Jin, X.-L., Fang, Y., & Vogel, D. (2014). Toward a theory of perceived benefits, affective commitment, and continuance intention in social virtual worlds: Cultural values (indulgence and individualism) matter. European Journal of Information Systems, 24, 247-261.