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For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) model

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  • Tahlyan, Divyakant
  • Said, Maher
  • Mahmassani, Hani
  • Stathopoulos, Amanda
  • Walker, Joan
  • Shaheen, Susan

Abstract

The COVID-19 pandemic required employees and businesses across the world to rapidly transition to work from home over extended periods, reaching what is likely the upper bound of telework in many sectors. Past studies have identified both advantages and disadvantages of teleworking. The pandemic experience offers a unique opportunity to examine employees’ experiences and perceptions of telework given the broad participation duration and extent. While employer strategies will play a major role in defining the future forms and adoption of telework, employee preferences and constraints, such as access to appropriate technology to work from home or the home environment, are also going to be important factors. Using data from a U.S. representative sample of 318 working adults, this study uses a Multiple Indicator Multiple Cause Model (MIMIC) to understand employee satisfaction with telework. The presented model links telework satisfaction with experienced and perceived benefits and barriers related to telework, and hence provide a causal structure to our understanding of telework satisfaction. We also present an ordered probit model without latent variables that help us understand the systematic heterogeneity in telework satisfaction across various socio-demographic groups. The results suggest younger and older aged individuals experienced/perceived lower benefits and higher barriers to teleworking compared to middle aged individuals. The results also suggest a disproportionate impact on Hispanic or Latino and Black respondents as well as on those with children attending online school from home. Accordingly, this study highlights important factors impacting telework adoption that employers and policy makers should consider in planning future work arrangements and policies in a post-pandemic world.

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  • Tahlyan, Divyakant & Said, Maher & Mahmassani, Hani & Stathopoulos, Amanda & Walker, Joan & Shaheen, Susan, 2022. "For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 387-402.
  • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:387-402
    DOI: 10.1016/j.tra.2021.11.025
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    3. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. Asmussen, Katherine E. & Mondal, Aupal & Batur, Irfan & Dirks, Abbie & Pendyala, Ram M. & Bhat, Chandra R., 2024. "An investigation of individual-level telework arrangements in the COVID-era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    5. Karimi, Sina & Samadzad, Mahdi & Lesteven, Gaele, 2024. "Navigating public transport during a pandemic: Key lessons on travel behavior and social equity from two surveys in Tehran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    6. Carlos A. Arbelaez-Velasquez & Diana Giraldo & Santiago Quintero, 2022. "Analysis of a Teleworking Technology Adoption Case: An Agent-Based Model," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    7. Demet Özcan Biçici & Ayşe Özçelik, 2023. "Do Employees in Turkey Intend to Telework After the Pandemic?," Istanbul Business Research, Istanbul University Business School, vol. 52(3), pages 565-591, December.
    8. Soria, Jason & Edward, Deirdre & Stathopoulos, Amanda, 2023. "Requiem for transit ridership? An examination of who abandoned, who will return, and who will ride more with mobility as a service," Transport Policy, Elsevier, vol. 134(C), pages 139-154.
    9. Hensher, David A. & Beck, Matthew J., 2023. "Exploring how worthwhile the things that you do in life are during COVID-19 and links to well-being and working from home," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    10. Cheng, Yu-Tong & Lavieri, Patrícia S. & Luiza Santos de Sá, Ana & Astroza, Sebastian, 2024. "Investigating the effects of ICT evolution and the COVID-19 pandemic on the spatio-temporal fragmentation of work activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    11. Barbour, Natalia & Abdel-Aty, Mohamed & Sevim, Alican, 2024. "Intended work from home frequency after the COVID-19 pandemic and the role of socio-demographic, psychological, disability, and work-related factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    12. Robbennolt, Dale & Haddad, Angela J. & Mondal, Aupal & Bhat, Chandra R., 2024. "Housing choice in an evolving remote work landscape," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    13. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).

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