[1]
|
Zhao, Y., Ni, Q. and Zhou, R.X. (2018) What Factors Influence the Mobile Health Service Adoption? A Meta-Analysis and the Moderating Role of Age. International Journal of Information Management, 43, 342-350.
https://doi.org/10.1016/j.ijinfomgt.2017.08.006
|
[2]
|
Jin, X.-L., Yin, M.J., Zhou, Z.Y. and Yu, X.Y. (2021) The Differential Effects of Trusting Beliefs on Social Media Users’ Willingness to Adopt and Share Health Knowledge. In-formation Processing & Management, 58, Article ID: 102413. https://doi.org/10.1016/j.ipm.2020.102413
|
[3]
|
Zhou, Z.Y., Jin, X.L., Hsu, C. and Tang, Z.Y. (2022) User Em-powerment and Well-Being with mHealth Apps during Pandemics: A Mix-Methods Investigation in China. Journal of the Association for Information Science and Technology.
|
[4]
|
Wallis, L., Blessing, P., Dalwai, M. and Do Shin, S. (2017) Integrating mHealth at Point of Care in Low- and Middle-Income Settings: The System Perspective. Global Health Action, 10, Article ID: 1327686.
https://doi.org/10.1080/16549716.2017.1327686
|
[5]
|
Free, C., Phillips, G., Galli, L., Watson, L., et al. (2013) The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review. PLOS Medicine, 10, e1001362. https://doi.org/10.1371/journal.pmed.1001362
|
[6]
|
Martínez-Pérez, B., De La Torre-Díez, I. and López-Coronado, M. (2015) Privacy and Security in Mobile Health Apps: A Review and Recommendations. Journal of Medical Systems, 39, Article No. 181.
https://doi.org/10.1007/s10916-014-0181-3
|
[7]
|
Hussain, A., Safdar Sial, M., Usman, S.M., et al. (2019) What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy. International Jour-nal of Environmental Research and Public Health, 16, Article 994. https://doi.org/10.3390/ijerph16060994
|
[8]
|
Ryan, S., Chasaide, N.N., O’Hanrahan, S., et al. (2022) mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in APP Stores and Content Analysis. JMIR Rehabilitation and Assistive Technologies, 9, e34355.
https://doi.org/10.2196/34355
|
[9]
|
Statista. https://www.statista.com/statistics/278414/number-of-worldwidesocial-network-users
|
[10]
|
Krebs, P. and Duncan, D.T. (2015) Health App Use among US Mobile Phone Owners: A National Survey. JMIR mHealth and uHealth, 3, e4924. https://doi.org/10.2196/mhealth.4924
|
[11]
|
Baulch, E., Watkins, J. and Tariq, A. (2018) MHealth Innovation in Asia: Grassroots Challenges and Practical Interventions. Springer, Berlin. https://doi.org/10.1007/978-94-024-1251-2
|
[12]
|
Huang, X., Dong, K. and Wu, J. (2018) Evolution of Research on Smart Health: A Bibliometrics Analysis. International Conference on Smart Health, Springer, Cham, 351-358. https://doi.org/10.1007/978-3-030-03649-2_35
|
[13]
|
Kim, K.-H., Kim, K.-J., Lee, D.-H. and Kim, M.-G. (2019) Identification of Critical Quality Dimensions for Continuance Intention in mHealth Services: Case Study of Onecare Ser-vice. International Journal of Information Management, 46, 187-197. https://doi.org/10.1016/j.ijinfomgt.2018.12.008
|
[14]
|
Barwise, P. and Strong, C. (2002) Permission-Based Mobile Advertising. Journal of Interactive Marketing, 16, 14-24.
https://doi.org/10.1002/dir.10000
|
[15]
|
Balaji, M.S., Roy, S.K. and Quazi, A. (2017) Customers’ Emotion Regula-tion Strategies in Service Failure Encounters. European Journal of Marketing, 51, 960-982. https://doi.org/10.1108/EJM-03-2015-0169
|
[16]
|
Su, Y.H. and Teng, W.C. (2018) Contemplating Museums’ Ser-vice Failure: Extracting the Service Quality Dimensions of Museums from Negative On-Line Reviews. Tourism Man-agement, 69, 214-222.
https://doi.org/10.1016/j.tourman.2018.06.020
|
[17]
|
Sun, Y. (2021) Case Based Models of the Relationship be-tween Consumer Resistance to Innovation and Customer Churn. Journal of Retailing and Consumer Services, 61, Article ID: 102530.
https://doi.org/10.1016/j.jretconser.2021.102530
|
[18]
|
Crisafulli, B. and Singh, J. (2017) Service Failures in e-Retailing: Examining the Effects of Response Time, Compensation, and Service Criticality. Computers in Human Be-havior, 77, 413-424. https://doi.org/10.1016/j.chb.2017.07.013
|
[19]
|
Baker, T.L., Meyer, T. and Johnson, J.D. (2008) Individual Differences in Perceptions of Service Failure and Recovery: The Role of Race and Discriminatory Bias. Journal of the Academy of Marketing Science, 36, 552-564.
https://doi.org/10.1007/s11747-008-0089-x
|
[20]
|
Singhal, S., Krishna, A. and Lazarus, D. (2013) Service Failure Magnitude and Paradox: A Banking Perspective. Journal of Relationship Marketing, 12, 191-203. https://doi.org/10.1080/15332667.2013.836027
|
[21]
|
Weun, S., Beatty, S.E. and Jones, M.A. (2004) The Impact of Service Failure Severity on Service Recovery Evaluations and Post-Recovery Relationships. Journal of Services Market-ing, 18, 133-146.
https://doi.org/10.1108/08876040410528737
|
[22]
|
Akter, S., D’Ambra, J. and Ray, P. (2013) Development and Validation of an Instrument to Measure User Perceived Service Quality of mHealth. Information and Management, 50, 181-195. https://doi.org/10.1016/j.im.2013.03.001
|
[23]
|
Deng, Z. (2013) Understanding Public Users’ Adoption of Mobile Health Service. International Journal of Mobile Communications, 11, 351-373. https://doi.org/10.1504/IJMC.2013.055748
|
[24]
|
Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B. and We-erakkody, V. (2016) A Generalized Adoption Model for Services: A Cross-Country Comparison of Mobile Health (m-Health). Government Information Quarterly, 33, 174-187.
https://doi.org/10.1016/j.giq.2015.06.003
|
[25]
|
Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S. and Lau, F.Y. (2009) Examining the Success Factors for Mobile Work in Healthcare: A Deductive Study. Decision Support Systems, 46, 620-633.
https://doi.org/10.1016/j.dss.2008.11.003
|
[26]
|
Tan, C.-W., Benbasat, I. and Cenfetelli, R.T. (2016) An Exploratory Study of the Formation and Impact of Electronic Service Failures. MIS Quarterly, 40, 1-29. https://doi.org/10.25300/MISQ/2016/40.1.01
|
[27]
|
Holloway, B.B. and Beatty, S.E. (2003) Service Failure in Online Retailing: A Recovery Opportunity. Journal of Service Research, 6, 92-105. https://doi.org/10.1177/1094670503254288
|
[28]
|
Malhotra, A. and Malhotra, C.K. (2011) Evaluating Customer In-formation Breaches as Service Failures: An Event Study Approach. Journal of Service Research, 14, 44-59. https://doi.org/10.1177/1094670510383409
|
[29]
|
Huckvale, K., Prieto, J.T., Tilney, M., et al. (2015) Unaddressed Privacy Risks in Accredited Health and Wellness Apps: A Cross-Sectional Systematic Assessment. BMC Medicine, 13, Article No. 214.
https://doi.org/10.1186/s12916-015-0444-y
|
[30]
|
Mense, A., Steger, S., Sulek, M., Jukic-Sunaric, D. and Mészáros, A. (2016) Analyzing Privacy Risks of mHealth Applications. Studies in Health Technology and Informatics, 221, 41-45.
|
[31]
|
Gabel, A., Ertas, F., Pleger, M., Schiering, I. and Müller, S.V. (2020) Privacy by Design for Neuropsycho-logical Studies Based on an mHealth App. International Joint Conference on Biomedical Engineering Systems and Technologies, Springer, Cham, 442-467.
|
[32]
|
Mattila, A.S. (2001) The Effectiveness of Service Recovery in a Mul-ti-Industry Setting. Journal of Services Marketing, 15, 583-596. https://doi.org/10.1108/08876040110407509
|
[33]
|
Bhandari, M.S., Tsarenko, Y. and Polonsky, M.J. (2007) A Proposed Multi-Dimensional Approach to Evaluating Service Recovery. Journal of Services Marketing, 21, 174-185. https://doi.org/10.1108/08876040710746534
|
[34]
|
Smith, A.K., Bolton, R.N. and Wagner, J. (1999) A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery. Journal of Marketing Research, 36, 356-372. https://doi.org/10.1177/002224379903600305
|
[35]
|
Conlon, D.E. and Murray, N.M. (1996) Customer Perceptions of Corporate Responses to Product Complaints: The Role of Explanations. Academy of Management Journal, 39, 1040-1056. https://doi.org/10.5465/256723
|
[36]
|
Kelley, S.W. and Davis, M.A. (1994) Antecedents to Custom-er Expectations for Service Recovery. Journal of the Academy of Marketing Science, 22, 52-61. https://doi.org/10.1177/0092070394221005
|
[37]
|
Smith, A.K. and Bolton, R.N. (1998) An Experimental Investiga-tion of Customer Reactions to Service FAILURE and recovery Encounters: Paradox or Peril? Journal of Service Re-search, 1, 65-81.
https://doi.org/10.1177/109467059800100106
|
[38]
|
Xing, X.Y., Song, M.M., Duan, Y.C. and Mou, J. (2022) Ef-fects of Different Service Failure Types and Recovery Strategies on the Consumer Response Mechanism of Chatbots. Technology in Society, 70, Article ID: 102049.
https://doi.org/10.1016/j.techsoc.2022.102049
|
[39]
|
Forbes, L.P., Kelley, S.W. and Hoffman, K.D. (2005) Typolo-gies of e-Commerce Retail Failures and Recovery Strategies. Journal of Services Marketing, 19, 280-292. https://doi.org/10.1108/08876040510609907
|
[40]
|
Warshaw, P.R. and Davis, F.D. (1984) Self-Understanding and the Accuracy of Behavioral Expectations. Personality and Social Psychology Bulletin, 10, 111-118. https://doi.org/10.1177/0146167284101013
|
[41]
|
Venkatesh, V., Brown, S.A., Maruping, L.M. and Bala, H. (2008) Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Condi-tions, and Behavioral Expectation. MIS Quarterly, 32, 483-502. https://doi.org/10.2307/25148853
|
[42]
|
Kim, H.-W., Chan, H.C. and Chan, Y.P. (2007) A Balanced Thinking-Feelings Model of Information Systems Continuance. Interna-tional Journal of Human-Computer Studies, 65, 511-525. https://doi.org/10.1016/j.ijhcs.2006.11.009
|
[43]
|
Chang, C.-C. (2013) Examining Users’ Intention to Continue Using Social Network Games: A Flow Experience Perspective. Telematics and Informatics, 30, 311-321. https://doi.org/10.1016/j.tele.2012.10.006
|
[44]
|
Liao, G.-Y., Huang, H.-C. and Teng, C.-I. (2016) When does Frustration Not Reduce Continuance Intention of Online Gamers? The Expectancy Disconfirmation Perspective. Journal of Electronic Commerce Research, 17, 65-79.
|
[45]
|
Luo, M.M. and Chea, S. (2018) Cognitive Appraisal of Incident Handling, Affects, and Post-Adoption Behaviors: A Test of Affective Events Theory. International Journal of Information Management, 40, 120-131.
https://doi.org/10.1016/j.ijinfomgt.2018.01.014
|
[46]
|
Birkmeyer, S., Wirtz, B.W. and Langer, P.F. (2021) Determi-nants of mHealth Success: An Empirical Investigation of the User Perspective. International Journal of Information Management, 59, Article ID: 102351.
https://doi.org/10.1016/j.ijinfomgt.2021.102351
|
[47]
|
Akter, S., D’Ambra, J. and Ray, P. (2010) Service Quality of mHealth Platforms: Development and Validation of a Hierarchical Model Using PLS. Electronic Markets, 20, 209-227. https://doi.org/10.1007/s12525-010-0043-x
|
[48]
|
Légaré, F., Freitas, A., Turcotte, S., et al. (2017) Responsiveness of a Simple Tool for Assessing Change in Behavioral Intention after Continuing Professional Development Activities. PLOS ONE, 12, e0176678.
https://doi.org/10.1371/journal.pone.0176678
|
[49]
|
Webb, T.L. and Sheeran, P. (2006) Does Changing Behavioral Intentions Engender Behavior Change? A Meta-Analysis of the Experimental Evidence. Psychological Bulletin, 132, 249-268. https://doi.org/10.1037/0033-2909.132.2.249
|
[50]
|
Sengupta, A.S., Balaji, M.S. and Krishnan, B.C. (2015) How Customers Cope with Service Failure? A Study of Brand Reputation and Customer Satisfaction. Journal of Busi-ness Research, 68, 665-674.
https://doi.org/10.1016/j.jbusres.2014.08.005
|
[51]
|
Bearden, W.O. and Oliver, R.L. (1985) The Role of Public and Private Complaining in Satisfaction with Problem Resolution. Journal of Consumer Affairs, 19, 222-240. https://doi.org/10.1111/j.1745-6606.1985.tb00353.x
|
[52]
|
Swanson, S.R. and Hsu, M.K. (2011) The Effect of Re-covery Locus Attributions and Service Failure Severity on Word-of-Mouth and Repurchase Behaviors in the Hospitality Industry. Journal of Hospitality & Tourism Research, 35, 511-529. https://doi.org/10.1177/1096348010382237
|
[53]
|
McCollough, M.A., Berry, L.L. and Yadav, M.S. (2000) An Em-pirical Investigation of Customer Satisfaction after Service Failure and Recovery. Journal of Service Research, 3, 121-137. https://doi.org/10.1177/109467050032002
|
[54]
|
Roos, I. (1999) Switching Processes in Customer Rela-tionships. Journal of Service Research, 2, 68-85.
https://doi.org/10.1177/109467059921006
|
[55]
|
Wang, Y., Vela, M.R. and Tyler, K. (2008) Cultural Perspectives: Chinese Perceptions of UK Hotel Service Quality. International Journal of Culture, Tourism and Hospitality Research, 2, 312-329.
https://doi.org/10.1108/17506180810908970
|
[56]
|
Jin, X.-L., Chen, X.Y. and Zhou, Z.Y. (2022) The Impact of Cover Image Authenticity and Aesthetics on Users’ Product-Knowing and Content-Reading Willingness in Social Shop-ping Community. International Journal of Information Management, 62, Article ID: 102428. https://doi.org/10.1016/j.ijinfomgt.2021.102428
|
[57]
|
Vance, A., Lowry, P.B. and Eggett, D. (2015) Increasing Accountability through User-Interface Design Artifacts. MIS Quarterly, 39, 345-366. https://doi.org/10.25300/MISQ/2015/39.2.04
|
[58]
|
Allen, G., Manipatruni, S., Nikonov, D.E., Doczy, M. and Young, I.A. (2015) Experimental Demonstration of the Coexistence of Spin Hall and Rashba Effects in β-Tantalum/Ferromagnet Bilayers. Physical Review B, 91, Article ID: 144412. https://doi.org/10.1103/PhysRevB.91.144412
|
[59]
|
Alexander, C.S. and Becker, H.J. (1978) The Use of Vignettes in Survey Research. Public Opinion Quarterly, 42, 93-104.
https://doi.org/10.1086/268432
|
[60]
|
Han, W.C., Sharman, R., Brennan, J. and Rao, H.R. (2011) Critical Factors Affecting Compliance to Campus Alerts. MIS Quarterly, 39, 909-930.
|
[61]
|
Hovav, A. and D’Arcy, J. (2012) Applying an Extended Model of Deterrence across Cultures: An Investigation of Information Systems Misuse in the US and South Korea. Information & Management, 49, 99-110.
https://doi.org/10.1016/j.im.2011.12.005
|
[62]
|
Obeidat, Z.M.I., Xiao, S.H., Iyer, G.R. and Nicholson, M. (2017) Consumer Revenge Using the Internet and Social Media: An Examination of the Role of Service Failure Types and Cog-nitive Appraisal Processes. Psychology & Marketing, 34, 496-515. https://doi.org/10.1002/mar.21002
|
[63]
|
Zhao, Y., Ni, Q. and Zhou, R.X. (2018) What Factors Influence the Mobile Health Service Adoption? A Meta-Analysis and the Moderating Role of Age. International Journal of Information Management, 43, 342-350.
https://doi.org/10.1016/j.ijinfomgt.2017.08.006
|
[64]
|
Jin, X.-L., Yin, M.J., Zhou, Z.Y. and Yu, X.Y. (2021) The Differential Effects of Trusting Beliefs on Social Media Users’ Willingness to Adopt and Share Health Knowledge. In-formation Processing & Management, 58, Article ID: 102413. https://doi.org/10.1016/j.ipm.2020.102413
|
[65]
|
Zhou, Z.Y., Jin, X.L., Hsu, C. and Tang, Z.Y. (2022) User Em-powerment and Well-Being with mHealth Apps during Pandemics: A Mix-Methods Investigation in China. Journal of the Association for Information Science and Technology.
|
[66]
|
Wallis, L., Blessing, P., Dalwai, M. and Do Shin, S. (2017) Integrating mHealth at Point of Care in Low- and Middle-Income Settings: The System Perspective. Global Health Action, 10, Article ID: 1327686.
https://doi.org/10.1080/16549716.2017.1327686
|
[67]
|
Free, C., Phillips, G., Galli, L., Watson, L., et al. (2013) The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review. PLOS Medicine, 10, e1001362. https://doi.org/10.1371/journal.pmed.1001362
|
[68]
|
Martínez-Pérez, B., De La Torre-Díez, I. and López-Coronado, M. (2015) Privacy and Security in Mobile Health Apps: A Review and Recommendations. Journal of Medical Systems, 39, Article No. 181.
https://doi.org/10.1007/s10916-014-0181-3
|
[69]
|
Hussain, A., Safdar Sial, M., Usman, S.M., et al. (2019) What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy. International Jour-nal of Environmental Research and Public Health, 16, Article 994. https://doi.org/10.3390/ijerph16060994
|
[70]
|
Ryan, S., Chasaide, N.N., O’Hanrahan, S., et al. (2022) mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in APP Stores and Content Analysis. JMIR Rehabilitation and Assistive Technologies, 9, e34355.
https://doi.org/10.2196/34355
|
[71]
|
Statista. https://www.statista.com/statistics/278414/number-of-worldwidesocial-network-users
|
[72]
|
Krebs, P. and Duncan, D.T. (2015) Health App Use among US Mobile Phone Owners: A National Survey. JMIR mHealth and uHealth, 3, e4924. https://doi.org/10.2196/mhealth.4924
|
[73]
|
Baulch, E., Watkins, J. and Tariq, A. (2018) MHealth Innovation in Asia: Grassroots Challenges and Practical Interventions. Springer, Berlin. https://doi.org/10.1007/978-94-024-1251-2
|
[74]
|
Huang, X., Dong, K. and Wu, J. (2018) Evolution of Research on Smart Health: A Bibliometrics Analysis. International Conference on Smart Health, Springer, Cham, 351-358. https://doi.org/10.1007/978-3-030-03649-2_35
|
[75]
|
Kim, K.-H., Kim, K.-J., Lee, D.-H. and Kim, M.-G. (2019) Identification of Critical Quality Dimensions for Continuance Intention in mHealth Services: Case Study of Onecare Ser-vice. International Journal of Information Management, 46, 187-197. https://doi.org/10.1016/j.ijinfomgt.2018.12.008
|
[76]
|
Barwise, P. and Strong, C. (2002) Permission-Based Mobile Advertising. Journal of Interactive Marketing, 16, 14-24.
https://doi.org/10.1002/dir.10000
|
[77]
|
Balaji, M.S., Roy, S.K. and Quazi, A. (2017) Customers’ Emotion Regula-tion Strategies in Service Failure Encounters. European Journal of Marketing, 51, 960-982. https://doi.org/10.1108/EJM-03-2015-0169
|
[78]
|
Su, Y.H. and Teng, W.C. (2018) Contemplating Museums’ Ser-vice Failure: Extracting the Service Quality Dimensions of Museums from Negative On-Line Reviews. Tourism Man-agement, 69, 214-222.
https://doi.org/10.1016/j.tourman.2018.06.020
|
[79]
|
Sun, Y. (2021) Case Based Models of the Relationship be-tween Consumer Resistance to Innovation and Customer Churn. Journal of Retailing and Consumer Services, 61, Article ID: 102530.
https://doi.org/10.1016/j.jretconser.2021.102530
|
[80]
|
Crisafulli, B. and Singh, J. (2017) Service Failures in e-Retailing: Examining the Effects of Response Time, Compensation, and Service Criticality. Computers in Human Be-havior, 77, 413-424. https://doi.org/10.1016/j.chb.2017.07.013
|
[81]
|
Baker, T.L., Meyer, T. and Johnson, J.D. (2008) Individual Differences in Perceptions of Service Failure and Recovery: The Role of Race and Discriminatory Bias. Journal of the Academy of Marketing Science, 36, 552-564.
https://doi.org/10.1007/s11747-008-0089-x
|
[82]
|
Singhal, S., Krishna, A. and Lazarus, D. (2013) Service Failure Magnitude and Paradox: A Banking Perspective. Journal of Relationship Marketing, 12, 191-203. https://doi.org/10.1080/15332667.2013.836027
|
[83]
|
Weun, S., Beatty, S.E. and Jones, M.A. (2004) The Impact of Service Failure Severity on Service Recovery Evaluations and Post-Recovery Relationships. Journal of Services Market-ing, 18, 133-146.
https://doi.org/10.1108/08876040410528737
|
[84]
|
Akter, S., D’Ambra, J. and Ray, P. (2013) Development and Validation of an Instrument to Measure User Perceived Service Quality of mHealth. Information and Management, 50, 181-195. https://doi.org/10.1016/j.im.2013.03.001
|
[85]
|
Deng, Z. (2013) Understanding Public Users’ Adoption of Mobile Health Service. International Journal of Mobile Communications, 11, 351-373. https://doi.org/10.1504/IJMC.2013.055748
|
[86]
|
Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B. and We-erakkody, V. (2016) A Generalized Adoption Model for Services: A Cross-Country Comparison of Mobile Health (m-Health). Government Information Quarterly, 33, 174-187.
https://doi.org/10.1016/j.giq.2015.06.003
|
[87]
|
Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S. and Lau, F.Y. (2009) Examining the Success Factors for Mobile Work in Healthcare: A Deductive Study. Decision Support Systems, 46, 620-633.
https://doi.org/10.1016/j.dss.2008.11.003
|
[88]
|
Tan, C.-W., Benbasat, I. and Cenfetelli, R.T. (2016) An Exploratory Study of the Formation and Impact of Electronic Service Failures. MIS Quarterly, 40, 1-29. https://doi.org/10.25300/MISQ/2016/40.1.01
|
[89]
|
Holloway, B.B. and Beatty, S.E. (2003) Service Failure in Online Retailing: A Recovery Opportunity. Journal of Service Research, 6, 92-105. https://doi.org/10.1177/1094670503254288
|
[90]
|
Malhotra, A. and Malhotra, C.K. (2011) Evaluating Customer In-formation Breaches as Service Failures: An Event Study Approach. Journal of Service Research, 14, 44-59. https://doi.org/10.1177/1094670510383409
|
[91]
|
Huckvale, K., Prieto, J.T., Tilney, M., et al. (2015) Unaddressed Privacy Risks in Accredited Health and Wellness Apps: A Cross-Sectional Systematic Assessment. BMC Medicine, 13, Article No. 214.
https://doi.org/10.1186/s12916-015-0444-y
|
[92]
|
Mense, A., Steger, S., Sulek, M., Jukic-Sunaric, D. and Mészáros, A. (2016) Analyzing Privacy Risks of mHealth Applications. Studies in Health Technology and Informatics, 221, 41-45.
|
[93]
|
Gabel, A., Ertas, F., Pleger, M., Schiering, I. and Müller, S.V. (2020) Privacy by Design for Neuropsycho-logical Studies Based on an mHealth App. International Joint Conference on Biomedical Engineering Systems and Technologies, Springer, Cham, 442-467.
|
[94]
|
Mattila, A.S. (2001) The Effectiveness of Service Recovery in a Mul-ti-Industry Setting. Journal of Services Marketing, 15, 583-596. https://doi.org/10.1108/08876040110407509
|
[95]
|
Bhandari, M.S., Tsarenko, Y. and Polonsky, M.J. (2007) A Proposed Multi-Dimensional Approach to Evaluating Service Recovery. Journal of Services Marketing, 21, 174-185. https://doi.org/10.1108/08876040710746534
|
[96]
|
Smith, A.K., Bolton, R.N. and Wagner, J. (1999) A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery. Journal of Marketing Research, 36, 356-372. https://doi.org/10.1177/002224379903600305
|
[97]
|
Conlon, D.E. and Murray, N.M. (1996) Customer Perceptions of Corporate Responses to Product Complaints: The Role of Explanations. Academy of Management Journal, 39, 1040-1056. https://doi.org/10.5465/256723
|
[98]
|
Kelley, S.W. and Davis, M.A. (1994) Antecedents to Custom-er Expectations for Service Recovery. Journal of the Academy of Marketing Science, 22, 52-61. https://doi.org/10.1177/0092070394221005
|
[99]
|
Smith, A.K. and Bolton, R.N. (1998) An Experimental Investiga-tion of Customer Reactions to Service FAILURE and recovery Encounters: Paradox or Peril? Journal of Service Re-search, 1, 65-81.
https://doi.org/10.1177/109467059800100106
|
[100]
|
Xing, X.Y., Song, M.M., Duan, Y.C. and Mou, J. (2022) Ef-fects of Different Service Failure Types and Recovery Strategies on the Consumer Response Mechanism of Chatbots. Technology in Society, 70, Article ID: 102049.
https://doi.org/10.1016/j.techsoc.2022.102049
|
[101]
|
Forbes, L.P., Kelley, S.W. and Hoffman, K.D. (2005) Typolo-gies of e-Commerce Retail Failures and Recovery Strategies. Journal of Services Marketing, 19, 280-292. https://doi.org/10.1108/08876040510609907
|
[102]
|
Warshaw, P.R. and Davis, F.D. (1984) Self-Understanding and the Accuracy of Behavioral Expectations. Personality and Social Psychology Bulletin, 10, 111-118. https://doi.org/10.1177/0146167284101013
|
[103]
|
Venkatesh, V., Brown, S.A., Maruping, L.M. and Bala, H. (2008) Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Condi-tions, and Behavioral Expectation. MIS Quarterly, 32, 483-502. https://doi.org/10.2307/25148853
|
[104]
|
Kim, H.-W., Chan, H.C. and Chan, Y.P. (2007) A Balanced Thinking-Feelings Model of Information Systems Continuance. Interna-tional Journal of Human-Computer Studies, 65, 511-525. https://doi.org/10.1016/j.ijhcs.2006.11.009
|
[105]
|
Chang, C.-C. (2013) Examining Users’ Intention to Continue Using Social Network Games: A Flow Experience Perspective. Telematics and Informatics, 30, 311-321. https://doi.org/10.1016/j.tele.2012.10.006
|
[106]
|
Liao, G.-Y., Huang, H.-C. and Teng, C.-I. (2016) When does Frustration Not Reduce Continuance Intention of Online Gamers? The Expectancy Disconfirmation Perspective. Journal of Electronic Commerce Research, 17, 65-79.
|
[107]
|
Luo, M.M. and Chea, S. (2018) Cognitive Appraisal of Incident Handling, Affects, and Post-Adoption Behaviors: A Test of Affective Events Theory. International Journal of Information Management, 40, 120-131.
https://doi.org/10.1016/j.ijinfomgt.2018.01.014
|
[108]
|
Birkmeyer, S., Wirtz, B.W. and Langer, P.F. (2021) Determi-nants of mHealth Success: An Empirical Investigation of the User Perspective. International Journal of Information Management, 59, Article ID: 102351.
https://doi.org/10.1016/j.ijinfomgt.2021.102351
|
[109]
|
Akter, S., D’Ambra, J. and Ray, P. (2010) Service Quality of mHealth Platforms: Development and Validation of a Hierarchical Model Using PLS. Electronic Markets, 20, 209-227. https://doi.org/10.1007/s12525-010-0043-x
|
[110]
|
Légaré, F., Freitas, A., Turcotte, S., et al. (2017) Responsiveness of a Simple Tool for Assessing Change in Behavioral Intention after Continuing Professional Development Activities. PLOS ONE, 12, e0176678.
https://doi.org/10.1371/journal.pone.0176678
|
[111]
|
Webb, T.L. and Sheeran, P. (2006) Does Changing Behavioral Intentions Engender Behavior Change? A Meta-Analysis of the Experimental Evidence. Psychological Bulletin, 132, 249-268. https://doi.org/10.1037/0033-2909.132.2.249
|
[112]
|
Sengupta, A.S., Balaji, M.S. and Krishnan, B.C. (2015) How Customers Cope with Service Failure? A Study of Brand Reputation and Customer Satisfaction. Journal of Busi-ness Research, 68, 665-674.
https://doi.org/10.1016/j.jbusres.2014.08.005
|
[113]
|
Bearden, W.O. and Oliver, R.L. (1985) The Role of Public and Private Complaining in Satisfaction with Problem Resolution. Journal of Consumer Affairs, 19, 222-240. https://doi.org/10.1111/j.1745-6606.1985.tb00353.x
|
[114]
|
Swanson, S.R. and Hsu, M.K. (2011) The Effect of Re-covery Locus Attributions and Service Failure Severity on Word-of-Mouth and Repurchase Behaviors in the Hospitality Industry. Journal of Hospitality & Tourism Research, 35, 511-529. https://doi.org/10.1177/1096348010382237
|
[115]
|
McCollough, M.A., Berry, L.L. and Yadav, M.S. (2000) An Em-pirical Investigation of Customer Satisfaction after Service Failure and Recovery. Journal of Service Research, 3, 121-137. https://doi.org/10.1177/109467050032002
|
[116]
|
Roos, I. (1999) Switching Processes in Customer Rela-tionships. Journal of Service Research, 2, 68-85.
https://doi.org/10.1177/109467059921006
|
[117]
|
Wang, Y., Vela, M.R. and Tyler, K. (2008) Cultural Perspectives: Chinese Perceptions of UK Hotel Service Quality. International Journal of Culture, Tourism and Hospitality Research, 2, 312-329.
https://doi.org/10.1108/17506180810908970
|
[118]
|
Jin, X.-L., Chen, X.Y. and Zhou, Z.Y. (2022) The Impact of Cover Image Authenticity and Aesthetics on Users’ Product-Knowing and Content-Reading Willingness in Social Shop-ping Community. International Journal of Information Management, 62, Article ID: 102428. https://doi.org/10.1016/j.ijinfomgt.2021.102428
|
[119]
|
Vance, A., Lowry, P.B. and Eggett, D. (2015) Increasing Accountability through User-Interface Design Artifacts. MIS Quarterly, 39, 345-366. https://doi.org/10.25300/MISQ/2015/39.2.04
|
[120]
|
Allen, G., Manipatruni, S., Nikonov, D.E., Doczy, M. and Young, I.A. (2015) Experimental Demonstration of the Coexistence of Spin Hall and Rashba Effects in β-Tantalum/Ferromagnet Bilayers. Physical Review B, 91, Article ID: 144412. https://doi.org/10.1103/PhysRevB.91.144412
|
[121]
|
Alexander, C.S. and Becker, H.J. (1978) The Use of Vignettes in Survey Research. Public Opinion Quarterly, 42, 93-104.
https://doi.org/10.1086/268432
|
[122]
|
Han, W.C., Sharman, R., Brennan, J. and Rao, H.R. (2011) Critical Factors Affecting Compliance to Campus Alerts. MIS Quarterly, 39, 909-930.
|
[123]
|
Hovav, A. and D’Arcy, J. (2012) Applying an Extended Model of Deterrence across Cultures: An Investigation of Information Systems Misuse in the US and South Korea. Information & Management, 49, 99-110.
https://doi.org/10.1016/j.im.2011.12.005
|
[124]
|
Obeidat, Z.M.I., Xiao, S.H., Iyer, G.R. and Nicholson, M. (2017) Consumer Revenge Using the Internet and Social Media: An Examination of the Role of Service Failure Types and Cog-nitive Appraisal Processes. Psychology & Marketing, 34, 496-515. https://doi.org/10.1002/mar.21002
|