108
Views
0
CrossRef citations to date
0
Altmetric
Research Article

An Exploration of Factors Influencing Work from Home During Covid-19

ORCID Icon, ORCID Icon & ORCID Icon

References

  • Al-Hubaishi, H. S., Ahmad, S. Z., & Hussain, M. (2017). Exploring mobile government from the service quality perspective. Journal of Enterprise Information Management, 30(1), 4–16. https://doi.org/10.1108/JEIM-01-2016-0004
  • Allen, T. D., Johnson, R. C., Kiburz, K. M., & Shockley, K. M. (2013). Work–family conflict and flexible work arrangements: Deconstructing flexibility. Personnel Psychology, 66(2), 345–376. https://doi.org/10.1111/peps.12012
  • Au, N., Ngai, E. W., & Cheng, T. E. (2008). Extending the understanding of end user information systems satisfaction formation: An equitable needs fulfilment model approach. MIS Quarterly, 32(1), 43–66. https://doi.org/10.2307/25148828
  • Bailey, D. E., & Kurland, N. B. (2002). A review of telework research: Findings, new directions, and lessons for the study of modern work. Journal of Organizational Behavior, 23(4), 383–400. https://doi.org/10.1002/job.144
  • Barki, H., & Hartwick, J. (2001). Interpersonal conflict and its management in information system development. MIS Quarterly, 25(2), 195–228. https://doi.org/10.2307/3250929
  • Belanger, F., & Collins, R. W. (1998). Distributed work arrangements: A research framework. Information and Society, 14(2), 137–152. https://doi.org/10.1080/019722498128935
  • Beloglazov, A., Abawajy, J., & Buyya, R. (2012). Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Computer Systems, 28(5), 755–768. https://doi.org/10.1016/j.future.2011.04.017
  • Bloom, N. (2020). How working from home works out. Stanford Institute for Economic Policy Research (SIEPR) Retrieved May 5, 2023, from https://siepr.stanford.edu/publications/policy-brief/how-working-home-works-out
  • Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015). Does working from home work? Evidence from a Chinese experiment. The Quarterly Journal of Economics, 130(1), 165–218. https://doi.org/10.1093/qje/qju032
  • Chadee, D., Ren, S., & Tang, G. (2021). Is digital technology the magic bullet for performing work at home? Lessons learned for post COVID-19 recovery in hospitality management. International Journal of Hospitality Management, 92, 102718. https://doi.org/10.1016/j.ijhm.2020.102718
  • Chau, P. Y., & Hu, P. J. (2002). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of Management Information Systems, 18(4), 191–229. https://doi.org/10.1080/07421222.2002.11045699
  • Chiu, C.-M., Chiu, C.-S., & Chang, H.-C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and web-based learning continuance intention. Information Systems Journal, 17(3), 271–287. https://doi.org/10.1111/j.1365-2575.2007.00238.x
  • Chua, A. Y., Goh, D. H., & Ang, R. P. (2012). Web 2.0 applications in government web sites: Prevalence, use and correlations with perceived web site quality. Online Information Review, 36(2), 175–195. https://doi.org/10.1108/14684521211229020
  • Cicchetti, D. V., Shoinralter, D., & Tyrer, P. J. (1985). The effect of number of rating scale categories on levels of interrater reliability: A Monte Carlo investigation. Applied Psychological Measurement, 9(1), 31–36. https://doi.org/10.1177/01466216850090010
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Laurence Erlbaum Associates. https://doi.org/10.4324/9780203771587
  • Conger, S. (1994). The new software engineering. ISBN-13: ‎978-0534171438. Wadsworth Publishing.
  • Conger, S. (2012). Software development life cycles and methodologies: Fixing the old and adopting the new. In Systems approach applications for developments in information technology (pp. 66–90). IGI Global.
  • Conger, S. (2016). Gamification of service desk work. In J. Lee, (Ed.), The impact of ICT on work (pp. 151–172). Springer. https://doi.org/10.1007/978-981-287-612-6
  • Conger, S. (2020). The impact of the COVID-19 pandemic on information systems management. Information Systems Management, 37(4), 327–331. https://doi.org/10.1080/10580530.2020.1820636
  • Cousins, K. C., & Varshney, U. (2009). Designing ubiquitous computing environments to support work life balance. Communications of the ACM, 52(5), 117–123. https://doi.org/10.1145/1506409.1506438
  • Cronbach, L. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
  • De Carlo, A., Girardi, D., Dal Corso, L., Arcucci, E., & Falco, A. (2022). Out of sight, out of mind? A longitudinal investigation of smart working and burnout in the context of the job demands–resources model during the COVID-19 pandemic. Sustainability, 14(12), 7121–7141. https://doi.org/10.3390/su14127121
  • Deci, E. L., & Ryan, R. M. (2000). The ‘what’ and ‘why’ of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
  • DeLone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
  • DeLone, W., & McLean, E. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
  • 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. https://doi.org/10.1037/0021-9010.86.3.499
  • Ding, Y., & Straub, D. (2008). Quality of IS in services: Theory and validation of constructs for service, information, and system. ICIS 2008 Proceedings, 101. https://aisel.aisnet.org/icis2008/101
  • Dubin, R. (1978). Theory building. The Free Press.
  • Du, D., Derks, D., & Bakker, A. B. (2018). Daily spillover from family to work: A test of the work–home resources model. Journal of Occupational Health Psychology, 23(2), 237. https://doi.org/10.1037/ocp0000073
  • Falco, A., Girardi, D., Dal Corso, L., Yıldırım, M., Converso, D., & Unger, D. (2021). The perceived risk of being infected at work: An application of the job demands–resources model to workplace safety during the COVID-19 outbreak. Public Library of Science ONE, 16(9), e0257197. https://doi.org/10.1371/journal.pone.0257197
  • Fichman, P. (2011). A comparative assessment of answer quality on four question answering sites. Journal of Information Science, 37(5), 476–486. https://doi.org/10.1177/0165551511415584
  • Fogg, B. J. (2003). Persuasive technology. Morgan Freeman Publishers.
  • Fogg, B. J., Soohoo, C., Danielson, D. R., Marable, L., Stanford, J., & Tauber, E. R. (2002). How do users evaluate the credibility of web sites? Consumer Web Watch. Retrieved August 15, 2023, from https://dejanmarketing.com/media/pdf/credibility-online.pdf
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Galanti, T., Guidetti, G., Mazzei, E., Zappalà, S., & Toscano, F. (2021). Work from home during the COVID-19 outbreak: The impact on employees’ remote work productivity, engagement, and stress. Journal of Occupational and Environmental Medicine, 63(7), e426. https://doi.org/10.1097/JOM.0000000000002236
  • Ghobakhloo, M., Zulkifli, N. B., & Aziz, F. A. (2010). The interactive model of user information technology acceptance and satisfaction in small and medium-sized enterprises. European Journal of Economics, Finance and Administrative Sciences, 19(1), 7–27. https://doi.org/10.1016/j.ssaho.2020.100101
  • Griffin, M. A., Neal, A., & Parker, S. K. (2007). A new model of work role performance: Positive behavior in uncertain and interdependent contexts. Academy of Management Journal, 50(2), 327–347. https://doi.org/10.5465/amj.2007.24634438
  • Grönroos, C., & Ojasalo, K. (2005). Service productivity, towards a conceptualisation of the transformation of inputs into economic results in services. Journal of Business Research, 57(4), 414–423. https://doi.org/10.1016/S0148-2963(02)00275-8
  • Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2020). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publishing.
  • Hair, J. F., Jr., Risher, J. J., Ringle, C. M., & Sarstedt, M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
  • 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(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
  • Hill, E. J., Ferris, M., & Martinson, V. (2003). Does it matter where you work? A comparison of how three work venues (traditional office, virtual office, and home office). influence aspects of work and personal/family life. Journal of Vocational Behavior, 63(2), 220–241. https://doi.org/10.1016/S0001-8791(03)00042-3
  • Hsu, M. Y., & Kernohan, G. (2006). Dimensions of hospital nurses’ quality of working life. Journal of Advanced Nursing, 54(1), 120–131. https://doi.org/10.1111/j.1365-2648.2006.03788.x
  • Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424. https://doi.org/10.1037/1082-989X.3.4.424
  • International Labour Organization. (2020). Teleworking during the Covid-19 pandemic and beyond: A practical guide.
  • Iranzadeh, S., Amari, H., & Bakhshayesh, S. (2009). Determining the dimensions of service quality in banking industry: Examining the Gronroos’s model in Iran. Journal of Productivity Management, 3(1), 35–50.
  • ISO/IEC. (2018). ISO/IEC 20000-1:2018 information technology — service management. International Organization for Standardization ISO Central Secretariat.
  • ISO/IEC. (2022). ISO/IEC 27001:2022 information security management. International Organization for Standardization ISO Central Secretariat.
  • Jaakkola, E., Meiren, T., Witell, L., Edvardsson, B., Schäfer, A., Reynoso, J., Sebastiani, R., & Weitlaner, D. (2017). Does one size fit all? New service development across different types of services. Journal of Service Management, 28(2), 329–347. https://doi.org/10.1108/JOSM-11-2015-0370
  • Jiang, J. J., & Klein, G. (1999). Risks to different aspects of system success. Information & Management, 36(5), 263–272. https://doi.org/10.1016/S0378-7206(99)00024-5
  • Jouini, M., Rabai, L. B. A., & Aissa, A. B. (2014). Classification of security threats in information systems. Procedia Computer Science, 32, 489–496. https://doi.org/10.1016/j.procs.2014.05.452
  • Kankanhalli, A., Teo, H. H., Tan, B. C., & Wei, K. K. (2003). An integrative study of information systems security effectiveness. International Journal of Information Management, 23(2), 139–154. https://doi.org/10.1016/S0268-4012(02)00105-6
  • Kappelman, L., Johnson, V. L., Maurer, C., Guerra, K., McLean, E., Torres, R., Snyder, M., & Kim, K. (2020). The 2019 SIM IT issues and trends study. MIS Quarterly Executive, 19(1), 69–104. https://doi.org/10.17705/2msqe.00026
  • Karimi, J., Somers, T. M., & Gupta, Y. P. (2004). Impact of environmental uncertainty and task characteristics on user satisfaction with data. Information Systems Research, 15(2), 175–193. https://doi.org/10.1287/isre.1040.0022
  • Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5/6), 737–766. https://doi.org/10.1111/j.1540-5915.1994.tb00829.x
  • Kim, D., & Solomon, M. (2018). Fundamentals of information systems security (3rd ed.). Jones & Bartlett Learning.
  • Klein, H. J., Wesson, M. J., Hollenbeck, J. R., Wright, P. M., & DeShon, R. P. (2001). The assessment of goal commitment: A measurement model meta-analysis. Organizational Behavior and Human Decision Processes, 85(1), 32–55. https://doi.org/10.1006/obhd.2000.2931
  • Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
  • Kock, N. (2021). WarpPLS user manual: Version 7.0. ScriptWarp Systems.
  • Kurland, N. B., & Bailey, D. E. (1999). Telework: The advantages and challenges of working here, there, anywhere, and anytime. Organizational Dynamics, 28(2), 53–68. https://doi.org/10.1016/S0090-2616(00)80016-9
  • Lee, J. (Editor). (2016). The impact of ICT on work. Springer. https://doi.org/10.1007/978-981-287-612-6
  • Lee, H., & Park, J.-G. (2016). Work design characteristics of mobile-intensive workers: Implications for future work design. In J. Lee (Ed.), The impact of ICT on work (pp. 175–194). Springer Science+Business Media Singapore.
  • Liebowitz, J. (1999). Information systems: Success or failure? Journal of Computer Information Systems, 40(1), 17–26. https://doi.org/10.1080/08874417.1999.11647418
  • Lister, K. (2021). Latest work-at-home/telecommuting/mobile work/remote work statistics, globalworkplaceanalytics.com. Retrieved August 16, 2021, from https://globalworkplaceanalytics.com/telecommuting-statistics
  • Moreno Cunha, A., Marques, C. S., & Santos, G. (2022). Organizational and personal factors that boost innovation: The case of nurses during COVID-19 pandemic based on job demands-resources model. Sustainability, 14(1), 458–482. https://doi.org/10.3390/su14010458
  • Napoleon, K., & Gaimon, C. (2004). The creation of output and quality in services: A framework to analyze information technology‐worker systems. Production and Operations Management, 13(3), 245–259. https://doi.org/10.1111/j.1937-5956.2004.tb00509.x
  • Nguyen, M. (2021). Research shows working from home doesn’t work. Here’s how employers should tackle the problem. Time Online. Retrieved January 9, 2021, from https://time.com/6088110/remote-work-structured-hybrid-research/
  • Nicklin, J. M., Cerasoli, C. P., & Dydyn, K. L. (2016). Telecommuting: What? why? when? and how? In J. Lee (Ed.), The impact of ICT on work (pp. 41–70). Springer. https://doi.org/10.1007/978-981-287-612-6
  • Nilles, J. M., Carlson, F. R., Gray, P., & Hanneman, G. (1976). Telecommuting-an alternative to urban transportation congestion. IEEE Transactions on Systems, Man, and Cybernetics, 2(2), 77–84. https://doi.org/10.1109/TSMC.1976.5409177
  • Ojo, O. (2010). The relationship between service quality and customer satisfaction in the telecommunication industry: Evidence from Nigeria. BRAND, Broad Research in Accounting, Negotiation, and Distribution, 1(1), 88–100. from. Retrieved October 2, 2021, from https://brain.edusoft.ro/index.php/brand/article/view/121/268.
  • Olson, M. H. (1989). Work at home for computer professionals: Current attitudes and future prospects. ACM Transactions on Information Systems (TOIS), 7(4), 317–338. https://doi.org/10.1145/76158.76891
  • Olson, M. H., & Primps, S. (1984). Working at home with computers: Work and nonwork issues. Journal of Social Issues, 40(3), 97–112. https://doi.org/10.1111/j.1540-4560.1984.tb00194.x
  • O’Neill, T. A., Hambley, L. A., Greidanus, N. S., MacDonnell, R., & Kline, T. J. B. (2009). Predicting teleworker success: An exploration of personality, motivational, situational, and job characteristics. Journal of Technology Work Employment, 24(2), 144–162. https://doi.org/10.1111/j.1468-005X.2009.00225.x
  • O’Rourke, M. (2021). The impact of remote work. Risk Management, 68(1), 30.
  • Pe-Than, E. P. P., Goh, D. H. L., & Lee, C. S. (2015). Why do people play human computation games? Effects of perceived enjoyment and perceived output quality. Aslib Journal of Information Management, 67(5), 592–612. https://doi.org/10.1016/j.chb.2014.06.023
  • Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15
  • Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7–62. https://doi.org/10.2753/MIS0742-1222290401
  • Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of is success at the individual level. Information & Management, 46(3), 159–166. https://doi.org/10.1016/j.im.2008.12.006
  • Potter, E. E. (2003). Telecommuting: The future of work, corporate culture, and American society. Journal of Labor Research, 24(1), 73–84. https://doi.org/10.1007/s12122-003-1030-1
  • Pratt, J. H. (1984). Home teleworking: A study of its pioneers. Technological Forecasting and Social Change, 25(1), 1–14. https://doi.org/10.1016/0040-1625(84)90076-3
  • Pratt, J. H. (1988). Socio-issues related to home-based work. In M. G. Helander (Ed.), Handbook of human-computer interaction (pp. 1071–1080). North-Holland.
  • Pratt, J. H. (1993). Myths and realities of working at home: Characteristics of homebased business owners and telecommuters, U.S. Small business Administration, Office of Advocacy. Retrieved August 8, 2021, from http://ideasarchive.org/
  • Pratt, J. H. (2000). Asking the right questions about telecommuting: Avoiding pitfalls in surveying homebased work. Transportation, 27(1), 99–116. https://doi.org/10.1023/A:1005288112292
  • Privacy Rights Clearinghouse. (2021). Data breaches. Retrieved September 9, 2021, from https://privacyrights.org/data-breaches
  • Ramsower, R. M. (1983). Telecommuting: An investigation of some organizational and behavioral effects of working at home. Dissertation from University of Minnesota. https://www.proquest.com/openview/6362c2a77b85174b3b14ec4a00ed6ec0/1?pq-origsite=gscholar&cbl=18750&diss=y
  • Rust, R., & Huang, M. (2012). Optimizing service productivity. American Marketing Association, 76(2), 47–66. https://doi.org/10.1509/jm.10.0441
  • Sawilowsky, S. S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8(2), 26. https://doi.org/10.22237/jmasm/1257035100
  • Scerri, M., & Agarwal, R. (2013). The evolution of the production function: Transition to the ‘value creation cube. In C. Mukhopadhyay, K. B. Akhilesh, R. Srinivasan, A. Gurtoo, P. Ramachandran, P. P. Iyer, M. Mathirajan, & M. H. B. Subrahmanya (Eds.), Driving the economy through innovation and entrepreneurship: Emerging agenda for technology management (pp. 561–572). India Springer. https://doi.org/10.1007/978-81-322-0746-7_46
  • Schmenner, R. (1986). How can service businesses survive and prosper. MIT Sloan Review, 27(3), 21–35. https://www.proquest.com/scholarly-journals/how-can-service-businesses-survive-prosper/docview/211489125/se-2
  • Schmenner, R. (2004). Service and business productivity. Decision Sciences 35(3), 333–347. https://www.proquest.com/scholarly-journals/service-businesses-productivity/docview/198113659/se-2
  • Sethi, V., & King, R. C. (1999). Nonlinear and noncompensatory models in user information satisfaction measurement. Information Systems Research, 10(1), 87–96. https://doi.org/10.1287/isre.10.1.87
  • Singh, J. K., & Jain, M. (2013). A study of employees’ job satisfaction and its impact on their performance. Journal of Indian Research, 1(4):104–111.
  • Spadafora, A. (2021). Security budgets wasted on remote working IT managers say. Techradar.Com, June 23. Retrieved August 8, 2022, from https://www.techradar.com/news/security-budgets-wasted-on-remote-working-it-managers-say
  • Suh, A., & Lee, J. (2017). Understanding teleworkers’ technostress and its influence on job satisfaction. Internet Research, 27(1), 140–159. https://doi.org/10.1108/IntR-06-2015-0181
  • Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly, 37(1), 77–109. https://doi.org/10.25300/MISQ/2013/37.1.04
  • Teodorovicz, T., Sadun, R., Kun, A. L., & Shaer, O. (2021). How does working from home during covid-19 affect what managers do? Evidence from time-use studies. Human–Computer Interaction, 37(6), 532–557. https://doi.org/10.1080/07370024.2021.1987908
  • Teo, T. S., Srivastava, S. C., & Jiang, L. (2008). Trust and electronic government success: An empirical study. Journal of Management Information Systems, 25(3), 99–131. https://doi.org/10.2753/MIS0742-1222250303
  • Thompson, D. (2017). Winners and losers of the work-from-home revolution. The Atlantic, June 14. Retrieved June 20, 2023 from https://www.theatlantic.com/ideas/archive/2021/06/winners-losers-work-home-remote/619181/
  • Twentyman, J. (2012). Bring your own device: OMG or A-OK? SC Magazine for IT Security Professionals, pp. 18–23. h t t ps://doi.o rg/
  • Twomlow, A., Grainger, S., Cieslik, K., Paul, J. D., & Buytaert, W. (2022). A user-centred design framework for disaster risk visualisation. International Journal of Disaster Risk Reduction, 77(103067), 1–15. https://doi.org/10.1016/j.ijdrr.2022.103067
  • U.S. Census Bureau. (2022, September 15). The number of people primarily working from home tripled between 2019 and 2021. Retrieved June 19, 2023, from. https://www.census.gov/newsroom/press-releases/2022/people-working-from-home.html#:~:text=SEPT.,by%20the%20U.S.%20Census%20Bureau
  • Vijayan, J. (2021). 6 ways the pandemic has triggered long-term security changes. CSO Online. October 10. Retrieved October 13, 2021, from https://www-csoonline-com.cdn.ampproject.org/c/s/www.csoonline.com/article/3635096/6-ways-the-pandemic-has-triggered-long-term-security-changes.amp.html
  • Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717–733. https://doi.org/10.1016/j.giq.2007.06.002
  • Yasenov, V. (2020). Who can work from home? IZA Discussion Papers, No. 13197, Institute of Labor Economics (IZA). http://hdl.handle.net/10419/223639
  • Zahedi, F. (1987). Reliability of information systems based on the critical success factors-formulation. MIS Quarterly, 11(2), 187–203. https://doi.org/10.2307/249362

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.