Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework
暂无分享,去创建一个
Yongqiang Sun | Xiao-Liang Shen | Xi Zhang | Dina Liu | Sijing Chen | Xirong Wu | Xi Zhang | Yongqiang Sun | Xiao-Liang Shen | Xin Wu | D. Liu | Sijing Chen | Xirong Wu
[1] Gi Mun Kim,et al. A study of factors that affect user intentions toward email service switching , 2006, Inf. Manag..
[2] David L. Mothersbaugh,et al. Switching barriers and repurchase intentions in services , 2000 .
[3] John P. Meyer,et al. The measurement and antecedents of affective, continuance and normative commitment to the organization , 1990 .
[4] Zhaohua Deng,et al. Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China , 2010, Int. J. Inf. Manag..
[5] Jun Yang,et al. Get Tired of Socializing as Social Animal? An Empirical Explanation on Discontinuous Usage Behavior in Social Network Services , 2015, PACIS.
[6] Wynne W. Chin,et al. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..
[7] Yongqiang Sun,et al. Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences , 2015, Comput. Hum. Behav..
[8] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[9] Matthew K. O. Lee,et al. Understanding the Blog Service Switching in Hong Kong: An Empirical Investigation , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).
[10] Kuo-Long Wu,et al. The effects of Push-pull-mooring on the Switching Model for Social Network sites Migration , 2014, PACIS.
[11] Laura Frances Bright,et al. Too much Facebook? An exploratory examination of social media fatigue , 2015, Comput. Hum. Behav..
[12] I. Ajzen. Nature and operation of attitudes. , 2001, Annual review of psychology.
[13] R. Oliver. Measurement and evaluation of satisfaction processes in retail settings. , 1981 .
[14] James C. Anderson,et al. STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .
[15] Qinghua Zhu,et al. Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example , 2016, Comput. Hum. Behav..
[16] Chunmei Gan,et al. An empirical analysis of factors influencing continuance intention of mobile instant messaging in China , 2016 .
[17] Qinghua Zhu,et al. Understanding Post Adoption Switching Behavior for Mobile Instant Messaging Application in China: Based on Migration Theory , 2014, PACIS.
[18] Yang Cao,et al. Examining WeChat users' motivations, trust, attitudes, and positive word-of-mouth: Evidence from China , 2014, Comput. Hum. Behav..
[19] Erik Rolland,et al. Understanding individual adoption of mobile instant messaging: a multiple perspectives approach , 2015, Inf. Technol. Manag..
[20] Richard E. Potter,et al. The Role of Habit in Post-Adoption Switching of Personal Information Technologies : An Empirical Investigation The Role of Habit in Post-Adoption Switching of Personal Information Technologies : An Empirical Investigation , 2012 .
[21] Xiao Bo,et al. Do I Switch? Understanding Users' Intention to Switch between Social Network Sites , 2014, 2014 47th Hawaii International Conference on System Sciences.
[22] John Lim,et al. Cyber Migration: An Empirical Investigation on Factors that Affect Users' Switch Intentions in Social Networking Sites , 2009, 2009 42nd Hawaii International Conference on System Sciences.
[23] Shin-Yuan Hung,et al. Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..
[24] Gordon L. Fullerton,et al. The Impact of Brand Commitment on Loyalty to Retail Service Brands , 2009 .
[25] Felix B. Tan,et al. International Journal of Information Management the Mediating Role of Trust and Commitment on Members' Continuous Knowledge Sharing Intention: a Commitment-trust Theory Perspective , 2022 .
[26] H. Bansal,et al. The Service Provider Switching Model (SPSM) , 1999 .
[27] Bruce E. Moon,et al. Paradigms in migration research: exploring 'moorings' as a schema , 1995, Progress in human geography.
[28] Anol Bhattacherjee,et al. Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..
[29] Yvonne Tran,et al. A controlled investigation into the psychological determinants of fatigue , 2006, Biological Psychology.
[30] Ching-Chin Chern,et al. 'Migrating to a new virtual world': Exploring MMORPG switching through human migration theory , 2011, Comput. Hum. Behav..
[31] Martin Stack,et al. Old Habits Die Hard:Path Dependency and Behavioral Lock-in , 2004 .
[32] H. Bansal,et al. “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors , 2005 .
[33] Avus C. Y. Hou. Switching Motivations on Instant Messaging: A Study Based on Two Factor Theory , 2015, MISNC.
[34] Elena Karahanna,et al. Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance , 2012, MIS Q..
[35] Lingling Gao,et al. An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory , 2014 .
[36] Simon Gyasi Nimako,et al. Construct Specification and Misspecification within the Application of Push-Pull-Mooring Theory of Switching Behaviour , 2013 .
[37] N. Yperen,et al. Do high job demands increase intrinsic motivation or fatigue or both? The role of job control and job social support , 2003 .
[38] Moez Limayem,et al. How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..
[39] WongSiew Fan,et al. An expectation-confirmation model of continuance intention to use mobile instant messaging , 2016 .
[40] Sven Laumer,et al. When Social Networking Turns to Social Overload: Explaining the stress, Emotional Exhaustion, and Quitting Behavior from Social Network sites' Users , 2012, ECIS.
[41] Nan Wang,et al. Social influence or personal preference? Examining the determinants of usage intention across social media with different sociability , 2016 .
[42] ZhangXi,et al. Understanding users' switching behavior of mobile instant messaging applications , 2017 .
[43] Matthew K. O. Lee,et al. Predicting continuance in online communities: model development and empirical test , 2010, Behav. Inf. Technol..
[44] P. Patterson,et al. A cross-cultural study of switching barriers and propensity to stay with service providers , 2003 .
[45] I. Ajzen. The theory of planned behavior , 1991 .
[46] Jung-Kuei Hsieh,et al. Post-adoption switching behavior for online service substitutes: A perspective of the push-pull-mooring framework , 2012, Comput. Hum. Behav..
[47] C. Rusbult. Commitment and Satisfaction in Romantic Associations: A Test of the investment Model , 1980 .
[48] Xi Zhang,et al. Understanding the influence of social media on people's life satisfaction through two competing explanatory mechanisms , 2016, Aslib J. Inf. Manag..
[49] Brian S. Butler,et al. Research Note - The Impact of Community Commitment on Participation in Online Communities , 2011, Inf. Syst. Res..
[50] M. Dodd,et al. Fatigue mechanisms in cancer patients: developing nursing theory. , 1987, Oncology nursing forum.
[51] William Samuelson,et al. Status quo bias in decision making , 1988 .
[52] Chee Wei Phang,et al. Understanding the Influences of Trend and Fatigue in Individuals' SNS Switching Intention , 2015, 2015 48th Hawaii International Conference on System Sciences.
[53] B. Verplanken,et al. Habit, attitude, and planned behaviour : is habit an empty construct or an interesting case of goal-directed automaticity? , 1999 .
[54] Tao Zhou,et al. Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience , 2011, Comput. Hum. Behav..
[55] Jaishankar Ganesh,et al. Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers , 2000, Journal of Marketing.
[56] Detmar W. Straub,et al. A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..
[57] D. Shapiro,et al. Fatigue in the workforce of National Health Service Trusts: levels of symptomatology and links with minor psychiatric disorder, demographic, occupational and work role factors. , 1997, Journal of psychosomatic research.
[58] Alton Yeow-Kuan Chua,et al. Antecedents and effects of social network fatigue , 2014, J. Assoc. Inf. Sci. Technol..
[59] Kevin C. Desouza,et al. Influences of IT substitutes and user experience on post-adoption user switching: An empirical investigation , 2008, J. Assoc. Inf. Sci. Technol..
[60] I-Cheng Chang,et al. The push, pull and mooring effects in virtual migration for social networking sites , 2014, Inf. Syst. J..
[61] Peter A. Todd,et al. Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..
[62] Cristina Calvo-Porral,et al. Switching behavior and customer satisfaction in mobile services: Analyzing virtual and traditional operators , 2015, Comput. Hum. Behav..
[63] Naresh K. Malhotra,et al. A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..