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A diary study of psychological effects of misinformation and COVID-19 Threat on work engagement of working from home employees

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  • Khan, Ali Nawaz

Abstract

Since the COVID -19 pandemic, the open literature presents plenty of discussions on how individuals have adopted being forced to work from home (WFH). Nevertheless, there hasn't been much information on how individuals perceive WFM is affecting their daily work routine in the pandemic. By applying the stressors-strain-outcome (SSO) framework, the current study develops and tests a model that explains how misinformation and COVID-19 threat triggered the anxiety and social media fatigue of WFH employees and affected their work-related response. This study collected diary data for ten consecutive days from 56 WFH employees. Results widely supported the hypothesized model. Specifically, findings revealed that misinformation and COVID-19 threat increase anxiety and social media fatigue among these employees, resulting in a lower level of work engagement. This study also found that resilience as a coping mechanism reduces the adverse effects of anxiety on work engagement. The results have significant, timely implications for policy and research.

Suggested Citation

  • Khan, Ali Nawaz, 2021. "A diary study of psychological effects of misinformation and COVID-19 Threat on work engagement of working from home employees," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    • Handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521004005
    DOI: 10.1016/j.techfore.2021.120968
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    References listed on IDEAS

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    1. Bano, Shehar & Cisheng, Wu & Khan, Ali Nawaz & Khan, Naseer Abbas, 2019. "WhatsApp use and student's psychological well-being: Role of social capital and social integration," Children and Youth Services Review, Elsevier, vol. 103(C), pages 200-208.
    2. Abdul Hameed Pitafi & Shamsa Kanwal & Ali Nawaz Khan, 2020. "Effects of perceived ease of use on SNSs-addiction through psychological dependence, habit: the moderating role of perceived usefulness," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 33(3), pages 383-407.
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    6. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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    8. Abdel-Basset, Mohamed & Chang, Victor & Nabeeh, Nada A., 2021. "An intelligent framework using disruptive technologies for COVID-19 analysis," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    9. Islam, A.K.M. Najmul & Laato, Samuli & Talukder, Shamim & Sutinen, Erkki, 2020. "Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    10. Liu, Ning & Chen, Zhuo & Bao, Guoxian, 2021. "Role of media coverage in mitigating COVID-19 transmission: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    11. Islam, Tahir & Pitafi, Abdul Hameed & Arya, Vikas & Wang, Ying & Akhtar, Naeem & Mubarik, Shujaat & Xiaobei, Liang, 2021. "Panic buying in the COVID-19 pandemic: A multi-country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Talwar, Shalini & Dhir, Amandeep & Kaur, Puneet & Zafar, Nida & Alrasheedy, Melfi, 2019. "Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 72-82.
    13. Khan, Naseer Abbas & Khan, Ali Nawaz & Moin, Muhammad Farrukh, 2021. "Self-regulation and social media addiction: A multi-wave data analysis in China," Technology in Society, Elsevier, vol. 64(C).
    14. Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan & Noor Jehan, 2019. "A study of relationship between transformational leadership and task performance: the role of social media and affective organisational commitment," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 31(4), pages 499-516.
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    2. Mäntymäki, Matti & Najmul Islam, A.K.M. & Turel, Ofir & Dhir, Amandeep, 2022. "Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    3. Berislav Andrlić & Kankanamge Gayan Priyashantha & Adambarage Chamaru De Alwis, 2023. "Employee Engagement Management in the COVID-19 Pandemic: A Systematic Literature Review," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    4. Lei Jiang & Yujia Huang & Haonan Cheng & Ting Zhang & Lei Huang, 2021. "Emergency Response and Risk Communication Effects of Local Media during COVID-19 Pandemic in China: A Study Based on a Social Media Network," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    5. Aleem, Majid & Sufyan, Muhammad & Ameer, Irfan & Mustak, Mekhail, 2023. "Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda," Journal of Business Research, Elsevier, vol. 154(C).
    6. Hashemi, Hossein & Rajabi, Reza & Brashear-Alejandro, Thomas G., 2022. "COVID-19 research in management: An updated bibliometric analysis," Journal of Business Research, Elsevier, vol. 149(C), pages 795-810.
    7. Ng, Peggy M.L. & Lit, Kam Kong & Cheung, Cherry T.Y., 2022. "Remote work as a new normal? The technology-organization-environment (TOE) context," Technology in Society, Elsevier, vol. 70(C).
    8. Ruiz-Palomino, Pablo & Yáñez-Araque, Benito & Jiménez-Estévez, Pedro & Gutiérrez-Broncano, Santiago, 2022. "Can servant leadership prevent hotel employee depression during the COVID-19 pandemic? A mediating and multigroup analysis," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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