ISSN: 2222-6990
Open access
Mobile Internet is the product of the rapid development of Information and Communication Technology (ICT). It connects the real world with the virtual world and breaks through the space and time constraints of traditional communication. As a technological innovation, the Internet leads to social and economic changes and is an important communication tool for connecting people and society, as well as people and enterprises. With the development of the mobile internet and the popularity of smartphones, various social media software programmes have had a huge impact on people's lives, learning, and work, and this influence is something that business management can only dream of. The use of social networks for organisational management and business promotion has become an indispensable business tool for today's companies. The impact of social media adoption is also gaining attention from companies and academics alike, and the concept of enterprise social media has emerged. This study reviewed the adoption of the Stressor-Strain-Outcome model in the research of enterprise social media.
Ali, A., Bahadur, W., Wang, N., Luqman, A., & Khan, A. N. (2020). Improving team innovation performance: role of social media and team knowledge management capabilities. Technology in Society, 61, 101259.
Almeida, F., Santos, J. D., & Monteiro, J. A. (2020). The challenges and opportunities in the digitalization of companies in a post-COVID-19 World. IEEE Engineering Management Review, 48(3), 97-103.
Asgari, H., Gupta, R., & Jin, X. (2023). Impacts of COVID-19 on Future Preferences Toward Telework. Transportation research record, 2677(4), 611-628.
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35, 831–858.
Belzunegui-Eraso, A., and A Erro-Garce´s. Teleworking in the Context of the Covid-19 Crisis. Sustainability, Vol. 12, No. 9, 2020, p. 3662.
Fakhfakh, B. S., & Bouaziz, F. (2023). Effects of SNS overload and dissatisfaction on job performance and discontinuous usage intention. Information Technology & People, 36(2), 808-833.
Braojos, J., Benitez, J., & Llorens, J. (2019). How do social commerce-IT capabilities influence firm performance? Theory and empirical evidence. Information & Management, 56(2), 155-171.
Bright, L. F., & Logan, K. (2018). Is my fear of missing out (FOMO) causing fatigue? Advertising, social media fatigue, and the implications for consumers and brands. Internet Research, 28(5), 1213-1227.
Bucher, E., Fieseler, C., & Suphan, A. (2013). The stress potential of social media in the workplace. Information, Communication & Society, 16(10), 1639-1667.
Cao, X., & Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An SOR perspective. Computers in human behavior, 81, 10-18.
Caya, O., & Mosconi, E. (2023). Citizen behaviors, enterprise social media and firm performance. Information Technology & People, 36(3), 1298-1325.
Chen, X., & Wei, S. (2019). Enterprise social media use and overload: A curvilinear relationship. Journal of Information Technology, 34(1), 22-38.
Dhir, A., Kaur, P., Chen, S., & Pallesen, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193-202.
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 Management, 40, 141-152.
Dittes, S. (2021). Enabling Digital Work in Organizations: Empirical Investigations of the Enterprise Social Media’s Introduction Process and Outcome Perspective (Doctoral dissertation).
Eggers, F. (2020), “Masters of disasters? Challenges and opportunities for SMEs in times of crisis”, Journal of Business Research, Vol. 116, pp. 199-208.
El Ouirdi, A., El Ouirdi, M., Segers, J., & Henderickx, E. (2015). Employees' use of social media technologies: a methodological and thematic review. Behaviour & Information Technology, 34(5), 454-464.
Herzog, C., Richter, A., & Steinhuser, M. (2015). Towards a Framework for the Evaluation Design of Enterprise Social Software. International Conference on Information Systems.
Kane, G. C. (2015). Enterprise social media: Current capabilities and future possibilities. MIS Quarterly Executive, 14(1).
Kasim, N. M., Fauzi, M. A., Yusuf, M. F., & Wider, W. (2022). The Effect of WhatsApp Usage on Employee Innovative Performance at the Workplace: Perspective from the Stressor–Strain–Outcome Model. Behavioral Sciences, 12(11), 456.
Koeske, G. F., & Koeske, R. D. (1993). A preliminary test of a stress-strain-outcome model for reconceptualizing the burnout phenomenon. Journal of Social Service Research, 17(3-4), 107-135.
Koeske, G. F., Kirk, S. A., & Koeske, R. D. (1993). Coping with job stress: Which strategies work best?. Journal of occupational and organizational psychology, 66(4), 319-335.
Labban, A., & Bizzi, L. (2022). Are social media good or bad for employees? It depends on when they use them. Behaviour & Information Technology, 41(4), 678-693.
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51-61.
Leidner, D. E., Gonzalez, E., & Koch, H. (2018). An affordance perspective of enterprise social media and organizational socialization. The Journal of Strategic Information Systems, 27(2), 117-138.
Leonardi, P. M., & Vaast, E. (2017). Social media and their affordances for organizing: A review and agenda for research. Academy of Management Annals, 11(1), 150-188.
Leonardi, P. M., Marleen, H., & Charles, S. (2013). Enterprise social media: definition, history, and prospects for the study of social technologies in organizations. Journal of Computer?mediated Communication, 19(1), 1-19.
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The relationship between cell phone use and academic performance in a sample of US college students. Sage Open, 5(1), 2158244015573169.
Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544-555.
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.
Malik, A., Dhir, A., Kaur, P., & Johri, A. (2020). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, 34(2), 557-580.
Meske, C., Wilms, K., & Stieglitz, S. (2019). Enterprise social networks as digital infrastructures-understanding the utilitarian value of social media at the workplace. Information Systems Management, 36(4), 350-367.
Ou, M., Zheng, H., Kim, H. K., & Chen, X. (2023). A meta-analysis of social media fatigue: Drivers and a major consequence. Computers in Human Behavior, 140, 107597.
Pang, H. (2021). How compulsive WeChat use and information overload affect social media fatigue and well-being during the COVID-19 pandemic? A stressor-strain-outcome perspective. Telematics and Informatics, 64, 101690.
Pang, H., & Ruan, Y. (2023). Determining influences of information irrelevance, information overload and communication overload on WeChat discontinuance intention: The moderating role of exhaustion. Journal of Retailing and Consumer Services, 72, 103289.
Pang, H., & Ruan, Y. (2023). Determining influences of information irrelevance, information overload and communication overload on WeChat discontinuance intention: The moderating role of exhaustion. Journal of Retailing and Consumer Services, 72, 103289.
Pontes, H. M. (2017). Investigating the differential effects of social networking site addiction and Internet gaming disorder on psychological health. Journal of behavioral addictions, 6(4), 601-610.
QuestMobile. (2022). China Mobile Internet Spring Report 2022, https://www.questmobile.com.cn/research/report-new/233
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information systems research, 19(4), 417-433.
Ravindran, T., Yeow Kuan, A. C., & Hoe Lian, D. G. (2014). Antecedents and effects of social network fatigue. Journal of the Association for Information Science and Technology, 65(11), 2306-2320.
Severyn, A., Moschitti, A., Uryupina, O., Plank, B., Filippova, K. (2016) Multi-lingual opinion mining on YouTube. Inf Process Manag 52(1):46–60.
Shagirbasha, S., Iqbal, J., Madhan, K., Chaudhary, S., & Dhall, R. (2023). Workplace isolation during COVID-19 and work–family conflict among academicians: interplay of psychological stress and organizational identification. International Journal of Manpower.
Sunil, S., Sharma, M. K., Amudhan, S., Anand, N., & John, N. (2022). Social media fatigue: Causes and concerns. International Journal of Social Psychiatry, 68(3), 686-692.
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta?techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42.
Teng, L., Liu, D., & Luo, J. (2022). Explicating user negative behavior toward social media: An exploratory examination based on stressor–strain–outcome model. Cognition, Technology & Work, 1-12.
Tugtekin, U., Tugtekin, E. B., Kurt, A. A., Demir, K. (2020). Associations between fear of missing out, problematic smartphone use, and social networking services fatigue among young adults.. In: Social Media + Society, October-December, pp. 1–17.
Van Zoonen, W., Treem, J. W., & Ter Hoeven, C. L. (2022). A tool and a tyrant: Social Media and wellbeing in organizational contexts. Current Opinion in Psychology, 101300.
Wang, X., & Hu, G. (2023). How mobile instant messaging affects public employees’ daily work: An empirical examination based on stressor-strain-outcome model.
Wang, Z., Hangeldiyeva, M., Ali, A., & Guo, M. (2022). Effect of enterprise social media on employee creativity: social exchange theory perspective. Frontiers in Psychology, 12, 812490.
Wehner, B., Ritter, C., & Leist, S. (2017). Enterprise social networks: a literature review and research agenda. Computer Networks, 114(Feb.26), 125-142.
Whelan, E., Islam, N. A. K. M., & Brooks, S. (2020). Is boredom proneness related to social media overload and fatigue? A stress–strain–outcome approach. Internet Research, 30(3), 869-887.
Ye, D., Cho, D., Chen, J., & Jia, Z. (2022). Empirical investigation of the impact of overload on the discontinuous usage intentions of short video users: A stressor-strain-outcome perspective. Online Information Review.
Yu, L., Cao, X., Liu, Z., & Wang, J. (2018). Excessive social media use at work: exploring the effects of social media overload on job performance. Information Technology & People, 31, ITP-10-2016-0237-.
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904-914.
In-Text Citation: (Wang & Teo, 2023)
To Cite this Article: Wang, Y., & Teo, P.-C. (2023). Stressor-Strain-Outcome (SSO) Model in The Context of Enterprise Social Media Research. International Journal of Academic Research in Business and Social Sciences, 13(8), 257– 264.
Copyright: © 2023 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non0-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode