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All issues Volume 124 (2021) SHS Web Conf., 124 (2021) 04006 References
Open Access
Issue
SHS Web Conf.
Volume 124, 2021
International Conference on Management, Social Sciences & Humanities (ICMeSH 2020)
Article Number 04006
Number of page(s) 12
Section Part 2 - Business and Economy for Sustainable Future
DOI https://doi.org/10.1051/shsconf/202112404006
Published online 15 November 2021
  1. Baek, K., Holton, A., Harp, D., & Yaschur, C. (2011). The links that bind: Uncovering novel motivations for linking on Facebook. Computers in Human Behavior, 27(6), 2243–2248. [CrossRef] [Google Scholar]
  2. Bauwens, R., Muylaert, J., Clarysse, E., Audenaert, M., & Decramer, A. (2020). Teachers’ acceptance and use of digital learning environments after hours: Implications for work-life balance and the role of integration preference. Computers in Human Behavior, 772(January), 106479. [CrossRef] [Google Scholar]
  3. Becker, W.J., Belkin, L.Y., Conroy, S.A., & Tuskey, S. (2019). Killing me softly: Organizational e-mail monitoring expectations’ impact on employee and significant other well-being. Journal of Management, December, 1–29. [Google Scholar]
  4. Belkin, L.Y., Becker, W.J., & Conroy, S.A. (2020). The invisible leash: The impact of organizational expectations for email monitoring after-hours on employee resources, wellbeing, and turnover intentions. Group and Organization Management, 0(0), 1–32. [Google Scholar]
  5. Boichenko, O., & Tymchenko, N. (2020). How to Reduce the Pandemic Impact on Employees: A Guide for Company Leaders. [Google Scholar]
  6. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. 2nd Eds. Hillsdale, NJ: Erlbaum. [Google Scholar]
  7. Demerouti, E., Bakker, A.B., Nachreiner, F., & Schaufeli, W.B. (2001). The Job Demands-Resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. [CrossRef] [Google Scholar]
  8. 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(February), 141–152. [CrossRef] [Google Scholar]
  9. Diamantopoulos, A., & Siguaw, J.A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282. [CrossRef] [Google Scholar]
  10. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. [CrossRef] [Google Scholar]
  11. Gadeyne, N., Verbruggen, M., Delanoeije, J., & De Cooman, R. (2018). All wired, all tired? Work-related ICT-use outside work hours and work-to-home conflict: The role of integration preference, integration norms and work demands. Journal of Vocational Behavior, 107(March), 86–99. [CrossRef] [Google Scholar]
  12. Garfin, D.R. (2020). Technology as a coping tool during the coronavirus disease 2019 (COVID-19) pandemic: Implications and recommendations. Stress and Health, 36(4), 555–559. [CrossRef] [Google Scholar]
  13. Ha, Y.W., Kim, J., Libaque-Saenz, C.F., Chang, Y., & Park, M.C. (2015). Use and gratifications of mobile SNSs: Facebook and KakaoTalk in Korea. Telematics and Informatics, 32(3), 425–438. [CrossRef] [Google Scholar]
  14. Haar, J., & Brougham, D. (2020). Work antecedents and consequences of work-life balance: A two sample study within New Zealand. International Journal of Human Resource Management, 0(0), 1–24. [CrossRef] [Google Scholar]
  15. Hafermalz, E. (2020). Out of the Panopticon and into Exile: Visibility and control in distributed new culture organizations. Organization Studies, 0(0), 1–21. [Google Scholar]
  16. Hair, J.F., Risher, J.J., Sarstedt, M., & Ringle, C.M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. [CrossRef] [Google Scholar]
  17. Hayes, A.F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408–420. [CrossRef] [Google Scholar]
  18. Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43, 115–135. [CrossRef] [Google Scholar]
  19. Huang, L.V., & Liu, P.L. (2017). Ties that work: Investigating the relationships among coworker connections, work-related Facebook utility, online social capital, and employee outcomes. Computers in Human Behavior, 72, 512–524. [CrossRef] [Google Scholar]
  20. Jha, N., Sareen, P., & Potnuru, R.K.G. (2019). Employee engagement for millennials: considering technology as an enabler. Development and Learning in Organizations, 33(1), 9–11. [Google Scholar]
  21. Katz, E., Haas, H., & Gurevitch, M. (1973). On the use of the mass media for important things. American Sociological Review, 38(2), 164–181. [CrossRef] [Google Scholar]
  22. Kline, R.B. 2011. Principles and Practice of Structural Equation Modeling. 3rd ed. Guilford publications. [Google Scholar]
  23. Leatherdale, S.T. (2019). Natural experiment methodology for research: A review of how different methods can support real-world research. International Journal of Social Research Methodology, 22(1), 19–35. [CrossRef] [Google Scholar]
  24. Lee, J., Lee, M., & Choi, I.H. (2012). Social network games uncovered: Motivations and their attitudinal and behavioral outcomes. Cyberpsychology, Behavior, and Social Networking, 15(12), 643–648. [CrossRef] [Google Scholar]
  25. Lin, T.C., Huang, S.L., & Hsu, C.J. (2015). A dual-factor model of loyalty to IT product - The case of smartphones. International Journal of Information Management, 35(2), 215–228. [CrossRef] [Google Scholar]
  26. Lindell, M.K., & Whitney, D.J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121. [CrossRef] [Google Scholar]
  27. Mouakket, S. (2019). Information self-disclosure on mobile instant messaging applications: Uses and gratifications perspective. Journal of Enterprise Information Management, 32(1), 98–117. [CrossRef] [Google Scholar]
  28. Munch, E. (2020). Social norms on working hours and peak times in public transport. Time and Society, 0(0), 1–30. [Google Scholar]
  29. Ohme, J., Vanden Abeele, M.M.P., Van Gaeveren, K., Durnez, W., & De Marez, L. (2020). Staying informed and bridging “social distance”: Smartphone news use and mobile messaging behaviors of flemish adults during the first weeks of the COVID-19 pandemic. Socius: Sociological Research for a Dynamic World, 6, 1–14. [Google Scholar]
  30. Padmavathy, C., Lee, S. (Ally), Pattusamy, M., Dey, M.K., & Swapana, M. (2018). The role of perceived benefits and personality traits on mobile instant messaging users’ responses. Asia Pacific Journal of Marketing and Logistics, 30(5), 1277–1293. [CrossRef] [Google Scholar]
  31. Park, J.C., Kim, S., & Lee, H. (2020). Effect of work-related smartphone use after work on job burnout: Moderating effect of social support and organizational politics. Computers in Human Behavior, 105(May 2019), 106194. [CrossRef] [Google Scholar]
  32. Perrigino, M.B., & Raveendhran, R. (2020). Managing remote workers during quarantine: Insights from organizational research on boundary management. Behavioral Science and Policy, 2020, 1–8. [Google Scholar]
  33. Podsakoff, P.M., Mackenzie, S.B., Lee, J.Y., & Podsakoff, N.P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. [CrossRef] [Google Scholar]
  34. Preacher, K.J., & Hayes, A.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. [CrossRef] [Google Scholar]
  35. Rehman, M.S., & Waheed, A. (2011). An empirical study of impact of job satisfaction on job performance in the public sector organizations. Interdisciplinary Journal of Contemporary Research in Business, 2(9), 167–181. [Google Scholar]
  36. Richter, A. (2020). Locked-down digital work. International Journal of Information Management, 55(May). [Google Scholar]
  37. Ringle, C.M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bonningstedt. [Google Scholar]
  38. Safieddine, F., & Nakhoul, I. (2021). Mobile Instant Messaging (M.I.M.) in improving S.M.E. in manufacturing: Case study. Wireless Personal Communications, 0(0), 1–17. [Google Scholar]
  39. Sarstedt, M., Hair, J.F., Ringle, C.M., Thiele, K.O., & Gudergan, S.P. (2016). Estimation issues with PLS and CBSEM : Where the bias lies ! ☆. Journal of Business Research, 69(10), 3998–4010. [CrossRef] [Google Scholar]
  40. Schlachter, S., McDowall, A., Cropley, M., & Inceoglu, I. (2018). Voluntary work-related technology use during non-work time: A narrative synthesis of empirical research and research agenda. International Journal of Management Reviews, 20(4), 825–846. [CrossRef] [Google Scholar]
  41. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons. [Google Scholar]
  42. Sheer, V.C., & Rice, R.E. (2017). Mobile instant messaging use and social capital: Direct and indirect associations with employee outcomes. Information and Management, 54(1), 90–102. [CrossRef] [Google Scholar]
  43. 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, 55(11), 2322–2347. [CrossRef] [Google Scholar]
  44. Smock, A.D., Ellison, N.B., Lampe, C., & Wohn, D.Y. (2011). Facebook as a toolkit: A uses and gratification approach to unbundling feature use. Computers in Human Behavior, 27(6), 2322–2329. [CrossRef] [Google Scholar]
  45. Talukder, A.K.M., Vickers, M., & Khan, A. (2018). Supervisor support and work-life balance: Impacts on job performance in the Australian financial sector. Personnel Review, 47(3), 727–744. [CrossRef] [Google Scholar]
  46. Wong, I.K.A. (2016). Linking firms, employees, and customers: A multilevel research agenda for hospitality studies. Cornell Hospitality Quarterly, 57(1), 7–20. [CrossRef] [Google Scholar]

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