Exploring the dual outcomes of mobile social networking service enjoyment: The roles of social self-efficacy and habit
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[1] Hangjung Zo,et al. User acceptance of location-based social networking services: An extended perspective of perceived value , 2013, Online Inf. Rev..
[2] B. Verplanken,et al. Habit, attitude, and planned behaviour : is habit an empty construct or an interesting case of goal-directed automaticity? , 1999 .
[3] R. Bagozzi,et al. On the evaluation of structural equation models , 1988 .
[4] Detmar W. Straub,et al. Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..
[5] John P. Charlton,et al. Validating the distinction between computer addiction and engagement: online game playing and personality , 2010, Behav. Inf. Technol..
[6] Mohammad Salehan,et al. Social networking on smartphones: When mobile phones become addictive , 2013, Comput. Hum. Behav..
[7] Kem Z. K. Zhang,et al. Examining the Effects of Perceived Enjoyment and Habit on Smartphone Addiction: The Role of User Type , 2015, MCETECH.
[8] D. A. Kenny,et al. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.
[9] Danah Boyd,et al. Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..
[10] D. Russell,et al. Adult Attachment, Social Self-Efficacy, Self-Disclosure, Loneliness, and Subsequent Depression for Freshman College Students: A Longitudinal Study , 2005 .
[11] Wen-Lung Shiau,et al. Continuance intention of blog users: the impact of perceived enjoyment, habit, user involvement and blogging time , 2013, Behav. Inf. Technol..
[12] Yufei Yuan,et al. Online game addiction among adolescents: motivation and prevention factors , 2012, Eur. J. Inf. Syst..
[13] Shuiqing Yang,et al. The benefits and dangers of flow experience in high school students' internet usage: The role of parental support , 2014, Comput. Hum. Behav..
[14] Alexander Serenko,et al. The benefits and dangers of enjoyment with social networking websites , 2012, Eur. J. Inf. Syst..
[15] Sung S. Kim,et al. Out of Dedication or Constraint? A Dual Model of Post-Adoption Phenomena and its Empirical Test in the Context of Online Services , 2009, MIS Q..
[16] Mina Tsay-Vogel,et al. Me versus them: Third-person effects among Facebook users , 2016, New Media Soc..
[17] Dale Goodhue,et al. Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers , 2012, Inf. Syst. Res..
[18] D. Tojib,et al. Post-adoption modeling of advanced mobile service use , 2012 .
[19] Shao-I Chiu,et al. The relationship between life stress and smartphone addiction on taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy , 2014, Comput. Hum. Behav..
[20] James A. Bovaird,et al. On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables , 2006 .
[21] L. Levine,et al. Beyond General Arousal: Effects of Specific Emotions on Memory , 1997 .
[22] Chunmei Gan,et al. An empirical analysis of factors influencing continuance intention of mobile instant messaging in China , 2016 .
[23] Elizabeth A. Phelps,et al. How arousal modulates memory: Disentangling the effects of attention and retention , 2004, Cognitive, affective & behavioral neuroscience.
[24] Nathan Lawrentschuk,et al. The social media revolution is changing the conference experience: analytics and trends from eight international meetings , 2015, BJU international.
[25] H. Marsh,et al. Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction. , 2004, Psychological methods.
[26] Ting-Jui Chou,et al. The Role of Flow Experience in Cyber-Game Addiction , 2003, Cyberpsychology Behav. Soc. Netw..
[27] Shuiqing Yang,et al. Empirical investigation of customers' channel extension behavior: Perceptions shift toward the online channel , 2011, Comput. Hum. Behav..
[28] Alain Yee-Loong Chong,et al. Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia , 2012, Decis. Support Syst..
[29] P. M. Podsakoff,et al. Self-Reports in Organizational Research: Problems and Prospects , 1986 .
[30] J. Cassady,et al. Emotional well-being: The role of social achievement goals and self-esteem , 2013 .
[31] Frank Biocca,et al. How social media engagement leads to sports channel loyalty: Mediating roles of social presence and channel commitment , 2015, Comput. Hum. Behav..
[32] H. Marsh,et al. Structural Equation Models of Latent Interactions: Clarification of Orthogonalizing and Double-Mean-Centering Strategies , 2010 .
[33] Ana Ortiz de Guinea,et al. Why break the habit of a lifetime? rethinking the roles of intention, habit, and emotion in continuing information technology use , 2009 .
[34] Elena Karahanna,et al. Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..
[35] Monideepa Tarafdar,et al. The dark side of information technology use , 2013, Inf. Syst. J..
[36] Sumeet Gupta,et al. Disclosure Intention of Location-Related Information in Location-Based Social Network Services , 2012, Int. J. Electron. Commer..
[37] Heikki Karjaluoto,et al. Consumer adoption of mobile technologies: a literature review , 2015, Int. J. Mob. Commun..
[38] Effects of self-efficacy on physical activity enjoyment in college-agedwomen , 2007, International journal of behavioral medicine.
[39] R. Grieve,et al. Development and validation of a measure of cognitive and behavioural social self-efficacy. , 2014 .
[40] Moez Limayem,et al. How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..
[41] Hsi-Peng Lu,et al. Predicting mobile social network acceptance based on mobile value and social influence , 2015, Internet Res..
[42] Shuiqing Yang,et al. Integration and consistency between web and mobile services , 2014, Ind. Manag. Data Syst..
[43] Ting Li,et al. Corporate Twitter Channels: The Impact of Engagement and Informedness on Corporate Reputation , 2013, Int. J. Electron. Commer..
[44] Woong-Kyu Lee,et al. The temporal relationships among habit, intention and IS uses , 2014, Comput. Hum. Behav..
[45] Ahmet Akin,et al. Social self-efficacy, academic locus of control, and internet addiction , 2010, Comput. Educ..
[46] Ling Liu,et al. Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model , 2013, Electronic Markets.
[47] Tao Zhou,et al. Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern , 2014, Comput. Hum. Behav..
[48] M. Sobel. Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .
[49] Fred D. Davis,et al. Good habits gone bad: Explaining negative consequences associated with the use of mobile phones from a dual‐systems perspective , 2015, Inf. Syst. J..
[50] Alexander Serenko,et al. Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users , 2011, MIS Q..
[51] Fred D. Davis,et al. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .
[52] Heeseok Lee,et al. Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety , 2009, Expert Syst. Appl..
[53] Alexander Hars,et al. Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..
[54] Juhani Warsta,et al. Online shopping viewed from a habit and value perspective , 2010, Behav. Inf. Technol..
[55] John P. Charlton,et al. Distinguishing addiction and high engagement in the context of online game playing , 2007, Comput. Hum. Behav..
[56] Stephan Hamann,et al. Cognitive and neural mechanisms of emotional memory , 2001, Trends in Cognitive Sciences.
[57] Kar Yan Tam,et al. Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..
[58] Nancy E. Betz,et al. Development and Validation of a Scale of Perceived Social Self-Efficacy , 2000 .
[59] R. LaRose. The Problem of Media Habits , 2010 .
[60] Marko M. Skoric,et al. Children and Video Games: Addiction, Engagement, and Scholastic Achievement , 2009, Cyberpsychology Behav. Soc. Netw..
[61] Qing Hu,et al. Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..
[62] B. Verplanken,et al. Reflections on past behavior: A self-report index of habit strength , 2003 .
[63] K. Young,et al. Internet addiction over the decade: a personal look back , 2010, World psychiatry : official journal of the World Psychiatric Association.
[64] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[65] Dan Jong Kim,et al. A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention , 2013, Decis. Support Syst..
[66] James C. Anderson,et al. STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .