How to cite this paper
Tian, Y., Chan, T., Ng, M & Liu, H. (2024). Perceived overload in social networking sites affect the users’ passive usage intention: A cognition-affect-conation approach.International Journal of Data and Network Science, 8(4), 2509-2518.
Refrences
Baj-Rogowska, A. (2023). Antecedents and outcomes of social media fatigue. Information Technology & People, 36(8), 226-254.
Bouattour Fakhfakh, S., & Bouaziz, F. (2023). Effects of SNS overload and dissatisfaction on job performance and discon-tinuous usage intention. Information Technology & People, 36(2), 808-833.
Cao, J., Liu, F., Shang, M., & Zhou, X. (2021). Toward street vending in post COVID-19 China: Social networking ser-vices formation overload and switching intention. Technology in Society, 66, 101669.
Chen, C. Y., Lee, K.Y., Fung, X. C. C., Chen, J. K., Lai, Y. C., Potenza, M. N., Chang, K.C., Fang, C. Y., Pakpour, A. H., & Lin, C. Y. (2024). Problematic use of Internet associates with poor quality of life via psychological distress in individ-uals with ADHD. Psychology Research and Behaviour Management, 17, 443-455
https://doi.org/10.2147/PRBM.S449369
Cho, C. H., & as-, U. O. T. A. A. I. A. (2004). Why do people avoid advertising on the Internet?. Journal of Advertising, 33(4), 89-97.
Collins, R. (2020). Clinician cognitive overload and its implications for nurse leaders. Nurse Leader, 18(1), 44-47.
Dai, B., Ali, A., & Wang, H. (2020). Exploring information avoidance intention of social media users: A cognition–affect–conation perspective. Internet Research, 30(5), 1455-1478.
da Silva Cezar, B. G., & Maçada, A. C. G. (2023). Cognitive Overload, Anxiety, Cognitive Fatigue, Avoidance Behavior and Data Literacy in Big Data environments. Information Processing & Management, 60(6), 103482.
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Manage-ment, 40, 141-152.
Fan, M., Huang, Y., Qalati, S. A., Shah, S. M. M., Ostic, D., & Pu, Z. (2021). Effects of information overload, communica-tion overload, and inequality on digital distrust: A cyber-violence behavior mechanism. Frontiers in Psychology, 12, 643981.
Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414-433.
Huang, D., Chen, Q., Huang, S., & Liu, X. (2023). Consumer intention to use service robots: a cognitive–affective–conative framework. International Journal of Contemporary Hospitality Management.
Huang, L., Dong, X., Yuan, H., & Wang, L. (2023). Enabling and inhibiting factors of the continuous use of mobile short video APP: Satisfaction and fatigue as mediating variables respectively. Psychology Research and Behavior Manage-ment, 3001-3017.
Huang, Q., Lei, S., & Ni, B. (2022). Perceived information overload and unverified information sharing on WeChat amid the COVID-19 pandemic: A moderated mediation model of anxiety and perceived herd. Frontiers in Psychology, 13, 837820.
Hunt, M., All, K., Burns, B., & Li, K. (2021). Too much of a good thing: Who we follow, what we do, and how much time we spend on social media affects well-being. Journal of Social and Clinical Psychology, 40(1), 46-68.
Islam, A. N., Whelan, E., & Brooks, S. (2021). Does multitasking computer self-efficacy mitigate the impact of social media affordances on overload and fatigue among professionals?. Information Technology & People, 34(5), 1439-1461.
Jiang, S. (2022). The roles of worry, social media information overload, and social media fatigue in hindering health fact-checking. Social Media+ Society, 8(3), 20563051221113070.
Kokubun, K., Ino, Y., & Ishimura, K. (2022). Social and psychological resources moderate the relation between anxiety, fatigue, compliance and turnover intention during the COVID-19 pandemic. International Journal of Workplace Health Management, 15(3), 262-286.
Li, J., Guo, F., Qu, Q. X., & Hao, D. (2022). How does perceived overload in mobile social media influence users’ passive usage intentions? Considering the mediating roles of privacy concerns and social media fatigue. International Journal of Human–Computer Interaction, 38(10), 983-992.
Li, K., Jiang, S., Yan, X., & Li, J. (2024). Mechanism study of social media overload on health self-efficacy and anxiety. Heliyon, 10(1).
Lin, S., Liu, D., Liu, W., Hui, Q., Cortina, K. S., & You, X. (2021). Mediating effects of self-concept clarity on the rela-tionship between passive social network sites use and subjective well-being. Current Psychology, 40, 1348-1355.
Lu, B., Yan, L., & Chen, Z. (2022). Perceived values, platform attachment and repurchase intention in on-demand service platforms: A cognition-affection-conation perspective. Journal of Retailing and Consumer Services, 67, 103024.
Nonnecke, B., Preece, J., Andrews, D., & Voutour, R. (2004). Online lurkers tell why.
Ostic, D., Qalati, S. A., Barbosa, B., Shah, S. M. M., Galvan Vela, E., Herzallah, A. M., & Liu, F. (2021). Effects of social media use on psychological well-being: a mediated model. Frontiers in Psychology, 12, 678766.
Pang, H., Quan, L., & Lu, J. (2023). How does perceived overload influence international students’ educational attain-ment? The mediating roles of social media exhaustion and academic anxiety. Current Psychology, 1-15.
Qaisar, S., & Nawaz Kiani, A. (2024). Exploring discontinuous intentions of social media users: a cognition-affect-conation perspective. Frontiers in Psychology, 15, 1305421.
Rusbult, C. E., Farrell, D., Rogers, G., & Mainous III, A. G. (1988). Impact of exchange variables on exit, voice, loyalty, and neglect: An integrative model of responses to declining job satisfaction. Academy of Management Journal, 31(3), 599-627.
Sheng, N., Yang, C., Han, L., & Jou, M. (2023). Too much overload and concerns: Antecedents of social media fatigue and the mediating role of emotional exhaustion. Computers in Human Behavior, 139, 107500.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S. & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. doi:10.1108/EJM-02-2019-0189
Simonson, M. R., Maurer, M., Montag-Torardi, M., & Whitaker, M. (1987). Development of a standardized test of com-puter literacy and a computer anxiety index. Journal of Educational Computing Research, 3(2), 231-247.
Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S. E. (2021). From information seeking to information avoid-ance: Understanding the health information behavior during a global health crisis. Information Processing & Manage-ment, 58(2), 102440.
Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and Applications, 5, 147–158.
Valkenburg, P. M., van Driel, I. I., & Beyens, I. (2022). The associations of active and passive social media use with well-being: A critical scoping review. New Media & Society, 24(2), 530-549.
Wang, J., Wen, S., & Xue, J. (2023). Unraveling the Influential Mechanisms of Social Commerce Overloads on User Dis-engagement: The Buffer Effect of Guanxi. Psychology Research and Behavior Management, 1921-1945.
Xu, C., & Yan, W. (2023). The relationship between information overload and state of anxiety in the period of regular ep-idemic prevention and control in China: a moderated multiple mediation model. Current Psychology, 42(25), 21842-21859.
Xu, Y. (2023). An exploration of the role played by attachment factors in the formation of social media addiction from a cognition-affect-conation perspective. Acta Psychologica, 236, 103904.
Yue, Z., Zhang, R., & Xiao, J. (2022). Passive social media use and psychological well-being during the COVID-19 pan-demic: The role of social comparison and emotion regulation. Computers in Human Behavior, 127, 107050.
Zeng, S., Lin, X., & Zhou, L. (2023). Factors affecting consumer attitudes towards using digital media platforms on health knowledge communication: Findings of cognition–affect–conation pattern. Frontiers in Psychology, 14, 1008427.
Zhang, X., & Ghorbani, A. A. (2020). An overview of online fake news: Characterization, detection, and discussion. In-formation Processing & Management, 57(2), 102025.
Zhou, T., & Xie, Y. (2023). Understanding social media users' information avoidance intention: a CAC perspective. Aslib Journal of Information Management.
Zhou, X., Rau, P. L. P., & Jie, Z. (2023). Stickiness formation among mobile apps of different social levels: multigroup analysis using the cognitive–affective–conative framework. Information Technology & People.
Zhu, X., & Bao, Z. (2018). Why people use social networking sites passively: An empirical study integrating impression management concern, privacy concern, and SNS fatigue. Aslib Journal of Information Management, 70(2), 158-175.
Bouattour Fakhfakh, S., & Bouaziz, F. (2023). Effects of SNS overload and dissatisfaction on job performance and discon-tinuous usage intention. Information Technology & People, 36(2), 808-833.
Cao, J., Liu, F., Shang, M., & Zhou, X. (2021). Toward street vending in post COVID-19 China: Social networking ser-vices formation overload and switching intention. Technology in Society, 66, 101669.
Chen, C. Y., Lee, K.Y., Fung, X. C. C., Chen, J. K., Lai, Y. C., Potenza, M. N., Chang, K.C., Fang, C. Y., Pakpour, A. H., & Lin, C. Y. (2024). Problematic use of Internet associates with poor quality of life via psychological distress in individ-uals with ADHD. Psychology Research and Behaviour Management, 17, 443-455
https://doi.org/10.2147/PRBM.S449369
Cho, C. H., & as-, U. O. T. A. A. I. A. (2004). Why do people avoid advertising on the Internet?. Journal of Advertising, 33(4), 89-97.
Collins, R. (2020). Clinician cognitive overload and its implications for nurse leaders. Nurse Leader, 18(1), 44-47.
Dai, B., Ali, A., & Wang, H. (2020). Exploring information avoidance intention of social media users: A cognition–affect–conation perspective. Internet Research, 30(5), 1455-1478.
da Silva Cezar, B. G., & Maçada, A. C. G. (2023). Cognitive Overload, Anxiety, Cognitive Fatigue, Avoidance Behavior and Data Literacy in Big Data environments. Information Processing & Management, 60(6), 103482.
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Manage-ment, 40, 141-152.
Fan, M., Huang, Y., Qalati, S. A., Shah, S. M. M., Ostic, D., & Pu, Z. (2021). Effects of information overload, communica-tion overload, and inequality on digital distrust: A cyber-violence behavior mechanism. Frontiers in Psychology, 12, 643981.
Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414-433.
Huang, D., Chen, Q., Huang, S., & Liu, X. (2023). Consumer intention to use service robots: a cognitive–affective–conative framework. International Journal of Contemporary Hospitality Management.
Huang, L., Dong, X., Yuan, H., & Wang, L. (2023). Enabling and inhibiting factors of the continuous use of mobile short video APP: Satisfaction and fatigue as mediating variables respectively. Psychology Research and Behavior Manage-ment, 3001-3017.
Huang, Q., Lei, S., & Ni, B. (2022). Perceived information overload and unverified information sharing on WeChat amid the COVID-19 pandemic: A moderated mediation model of anxiety and perceived herd. Frontiers in Psychology, 13, 837820.
Hunt, M., All, K., Burns, B., & Li, K. (2021). Too much of a good thing: Who we follow, what we do, and how much time we spend on social media affects well-being. Journal of Social and Clinical Psychology, 40(1), 46-68.
Islam, A. N., Whelan, E., & Brooks, S. (2021). Does multitasking computer self-efficacy mitigate the impact of social media affordances on overload and fatigue among professionals?. Information Technology & People, 34(5), 1439-1461.
Jiang, S. (2022). The roles of worry, social media information overload, and social media fatigue in hindering health fact-checking. Social Media+ Society, 8(3), 20563051221113070.
Kokubun, K., Ino, Y., & Ishimura, K. (2022). Social and psychological resources moderate the relation between anxiety, fatigue, compliance and turnover intention during the COVID-19 pandemic. International Journal of Workplace Health Management, 15(3), 262-286.
Li, J., Guo, F., Qu, Q. X., & Hao, D. (2022). How does perceived overload in mobile social media influence users’ passive usage intentions? Considering the mediating roles of privacy concerns and social media fatigue. International Journal of Human–Computer Interaction, 38(10), 983-992.
Li, K., Jiang, S., Yan, X., & Li, J. (2024). Mechanism study of social media overload on health self-efficacy and anxiety. Heliyon, 10(1).
Lin, S., Liu, D., Liu, W., Hui, Q., Cortina, K. S., & You, X. (2021). Mediating effects of self-concept clarity on the rela-tionship between passive social network sites use and subjective well-being. Current Psychology, 40, 1348-1355.
Lu, B., Yan, L., & Chen, Z. (2022). Perceived values, platform attachment and repurchase intention in on-demand service platforms: A cognition-affection-conation perspective. Journal of Retailing and Consumer Services, 67, 103024.
Nonnecke, B., Preece, J., Andrews, D., & Voutour, R. (2004). Online lurkers tell why.
Ostic, D., Qalati, S. A., Barbosa, B., Shah, S. M. M., Galvan Vela, E., Herzallah, A. M., & Liu, F. (2021). Effects of social media use on psychological well-being: a mediated model. Frontiers in Psychology, 12, 678766.
Pang, H., Quan, L., & Lu, J. (2023). How does perceived overload influence international students’ educational attain-ment? The mediating roles of social media exhaustion and academic anxiety. Current Psychology, 1-15.
Qaisar, S., & Nawaz Kiani, A. (2024). Exploring discontinuous intentions of social media users: a cognition-affect-conation perspective. Frontiers in Psychology, 15, 1305421.
Rusbult, C. E., Farrell, D., Rogers, G., & Mainous III, A. G. (1988). Impact of exchange variables on exit, voice, loyalty, and neglect: An integrative model of responses to declining job satisfaction. Academy of Management Journal, 31(3), 599-627.
Sheng, N., Yang, C., Han, L., & Jou, M. (2023). Too much overload and concerns: Antecedents of social media fatigue and the mediating role of emotional exhaustion. Computers in Human Behavior, 139, 107500.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S. & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. doi:10.1108/EJM-02-2019-0189
Simonson, M. R., Maurer, M., Montag-Torardi, M., & Whitaker, M. (1987). Development of a standardized test of com-puter literacy and a computer anxiety index. Journal of Educational Computing Research, 3(2), 231-247.
Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S. E. (2021). From information seeking to information avoid-ance: Understanding the health information behavior during a global health crisis. Information Processing & Manage-ment, 58(2), 102440.
Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and Applications, 5, 147–158.
Valkenburg, P. M., van Driel, I. I., & Beyens, I. (2022). The associations of active and passive social media use with well-being: A critical scoping review. New Media & Society, 24(2), 530-549.
Wang, J., Wen, S., & Xue, J. (2023). Unraveling the Influential Mechanisms of Social Commerce Overloads on User Dis-engagement: The Buffer Effect of Guanxi. Psychology Research and Behavior Management, 1921-1945.
Xu, C., & Yan, W. (2023). The relationship between information overload and state of anxiety in the period of regular ep-idemic prevention and control in China: a moderated multiple mediation model. Current Psychology, 42(25), 21842-21859.
Xu, Y. (2023). An exploration of the role played by attachment factors in the formation of social media addiction from a cognition-affect-conation perspective. Acta Psychologica, 236, 103904.
Yue, Z., Zhang, R., & Xiao, J. (2022). Passive social media use and psychological well-being during the COVID-19 pan-demic: The role of social comparison and emotion regulation. Computers in Human Behavior, 127, 107050.
Zeng, S., Lin, X., & Zhou, L. (2023). Factors affecting consumer attitudes towards using digital media platforms on health knowledge communication: Findings of cognition–affect–conation pattern. Frontiers in Psychology, 14, 1008427.
Zhang, X., & Ghorbani, A. A. (2020). An overview of online fake news: Characterization, detection, and discussion. In-formation Processing & Management, 57(2), 102025.
Zhou, T., & Xie, Y. (2023). Understanding social media users' information avoidance intention: a CAC perspective. Aslib Journal of Information Management.
Zhou, X., Rau, P. L. P., & Jie, Z. (2023). Stickiness formation among mobile apps of different social levels: multigroup analysis using the cognitive–affective–conative framework. Information Technology & People.
Zhu, X., & Bao, Z. (2018). Why people use social networking sites passively: An empirical study integrating impression management concern, privacy concern, and SNS fatigue. Aslib Journal of Information Management, 70(2), 158-175.