Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective
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DOI: 10.1287/isre.2016.0658
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- Ye Shi & Layth C. Alwan & Srinivasan Raghunathan & Yugang Yu & Xiaohang Yue, 2021. "Mobile Consumer Scanning Technology: A Replacement for Interorganizational Information Systems for Demand Information Learning in Supply Chains?," Information Systems Research, INFORMS, vol. 32(4), pages 1431-1449, December.
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- Massimo Magni & Manju K. Ahuja & Chiara Trombini, 2023. "Excessive Mobile Use and Family-Work Conflict: A Resource Drain Theory Approach to Examine Their Effects on Productivity and Well-Being," Information Systems Research, INFORMS, vol. 34(1), pages 253-274, March.
- Simon Kloker, 0. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
- Chen, Claire Y.T. & Sun, Edward W. & Miao, Wanyu & Lin, Yi-Bing, 2024. "Reconciling business analytics with graphically initialized subspace clustering for optimal nonlinear pricing," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1086-1107.
- Yingjie Zhang & Beibei Li & Xueming Luo & Xiaoyi Wang, 2019. "Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 787-804, September.
- Sam Ransbotham & Robert G. Fichman & Ram Gopal & Alok Gupta, 2016. "Special Section Introduction—Ubiquitous IT and Digital Vulnerabilities," Information Systems Research, INFORMS, vol. 27(4), pages 834-847, December.
- Debra S. Dwyer & Rachel Kreier & Maria X. Sanmartin, 2020. "Technology Use: Too Much of a Good Thing?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(4), pages 475-489, December.
- Mi Hyun Lee & Sang Pil Han & Sungho Park & Wonseok Oh, 2023. "Positive Demand Spillover of Popular App Adoption: Implications for Platform Owners’ Management of Complements," Information Systems Research, INFORMS, vol. 34(3), pages 961-995, September.
- Jinyang Zheng & Zhengling Qi & Yifan Dou & Yong Tan, 2019. "How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model," Information Systems Research, INFORMS, vol. 30(4), pages 1343-1362, December.
- Ni Huang & Jiayin Zhang & Gordon Burtch & Xitong Li & Peiyu Chen, 2021. "Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action," Information Systems Research, INFORMS, vol. 32(2), pages 301-317, June.
- Jungwon Kuem & Soumya Ray, 2022. "Personality Antecedents and Consequences of Internet Addiction Vis-à-vis Internet Habit: a Theory and an Empirical Investigation," Information Systems Frontiers, Springer, vol. 24(2), pages 579-594, April.
- Isaac Vaghefi & Bogdan Negoita & Liette Lapointe, 2023. "The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites," Information Systems Research, INFORMS, vol. 34(1), pages 85-110, March.
- Shuo Zhang & Tat Y. Chan & Xueming Luo & Xiaoyi Wang, 2022. "Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption," Marketing Science, INFORMS, vol. 41(3), pages 616-636, May.
- Simon Kloker, 2020. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 22(3), pages 549-562, June.
- Kristian López Vargas & Julian Runge & Ruizhi Zhang, 2022. "Algorithmic Assortative Matching on a Digital Social Medium," Information Systems Research, INFORMS, vol. 33(4), pages 1138-1156, December.
- Brenda Mak & Robert C. Nickerson & Janet Sim, 2018. "Mobile Technology Dependence and Mobile Technostress," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-17, August.
- Lee, Young-Jin & Ghasemkhani, Hossein & Xie, Karen & Tan, Yong, 2021. "Switching decision, timing, and app performance: An empirical analysis of mobile app developers’ switching behavior between monetization strategies," Journal of Business Research, Elsevier, vol. 127(C), pages 332-345.
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Keywords
addiction; mobile; rational addiction; myopic addiction; digital vulnerability; IT and health impact; mobile social apps; app consumption; econometrics; panel data;All these keywords.
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