Open Access
Issue |
SHS Web Conf.
Volume 155, 2023
2022 2nd International Conference on Social Development and Media Communication (SDMC 2022)
|
|
---|---|---|
Article Number | 02024 | |
Number of page(s) | 6 | |
Section | Media Communication and Analysis of Social Hot News | |
DOI | https://doi.org/10.1051/shsconf/202315502024 | |
Published online | 12 January 2023 |
- Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072. https://doi.org/10.1016/j.chb.2010.03.008 [CrossRef] [Google Scholar]
- Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 447–464. https://doi.org/10.1057/ejis.2014.3 [CrossRef] [Google Scholar]
- Sun, Y., Zhang, Y., Shen, X.-L., Wang, N., Zhang, X., & Wu, Y. (2018). Understanding the trust building mechanisms in social media: Regulatory effectiveness, trust transfer, and gender difference. Aslib Journal of Information Management, 70(5), 498–517. https://doi.org/10.1108/AJIM-03-2018-0072 [CrossRef] [Google Scholar]
- Thompson, D. V., Hamilton, R. W., & Rust, R. T. (2005). Feature Fatigue: When Product Capabilities Become Too Much of a Good Thing. Journal of Marketing Research, 42(4), 431–442. https://doi.org/10.1509/jmkr.2005.42.4.431 [CrossRef] [Google Scholar]
- Liu Luchuan, Li Xu, & Zhang Bingqian. (2017). Research on Social Media Fatigue and Passive Behaviors of Users Based on Grounded Theory. ITA, 40(12), 8. [Google Scholar]
- Angst & Agarwal. (2009). Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion. MIS Quarterly, 33(2), 339. https://doi.org/10.2307/20650295 [CrossRef] [Google Scholar]
- Lowry, P. B., Cao, J., & Everard, A. (2011). Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures. Journal of Management Information Systems, 27(4), 163–200. https://doi.org/10.2753/MIS0742-1222270406 [CrossRef] [Google Scholar]
- Vogel, E. A., Rose, J. P., Okdie, B. M., Eckles, K., & Franz, B. (2015). Who compares and despairs? The effect of social comparison orientation on social media use and its outcomes. Personality and Individual Differences, 86, 249–256. https://doi.org/10.1016/j.paid.2015.06.026 [CrossRef] [Google Scholar]
- Jang, K., Park, N., & Song, H. (2016). Social comparison on Facebook: Its antecedents and psychological outcomes. Computers in Human Behavior, 62, 147–154. https://doi.org/10.1016/j.chb.2016.03.082 [CrossRef] [Google Scholar]
- Liu, D., & Guo, X. (2017). Exploring gender differences in acceptance of mobile computing devices among college students. Information Systems and E-Business Management, 15(1), 197–223. https://doi.org/10.1007/s10257-016-0315-x [CrossRef] [Google Scholar]
- Vanderhaegen, F., Wolff, M., & Mollard, R. (2020). Non-conscious errors in the control of dynamic events synchronized with heartbeats: A new challenge for human reliability study. Safety Science, 129, 104814. https://doi.org/10.1016/j.ssci.2020.104814 [CrossRef] [Google Scholar]
- Niu Jing & Chang Mingzhi. (2018). Research on Social Interaction Stressors and Unsustainable Use Intention in Social Media Use. Journalism & Communication Review, 6, 15. [CrossRef] [Google Scholar]
- Fornell, C., & Bookstein, F. L. (1982). Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory. JOURNAL OF MARKETING RESEARCH, 13. [Google Scholar]
- Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.