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Modeling Employees' Perceptions and Proportional Preferences of Work Locations: The Regular Workplace and Telecommuting Alternatives

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  • Mokhtarian, Patricia
  • Bagley, Michael

Abstract

This paper develops measures of job and workplace perceptions, and examines the importance of those and other measures to the desired proportions of work time at each of three locations: regular workplace, home, and telecommuting center. Using data from 188 participants in the Neighborhood Telecenters Project, four job context perception factors were identified: productivity, job satisfaction, supervisor relationship, and co-worker interaction. Four generic workplace perception factors were identified (with measures for each of the work locations of interest): personal benefits, work effectiveness, autonomy, and supervisor comfort. A multinomial logit model of the desired work time allocation found the generic variables job suitability, personal benefits, and work effectiveness to be significant and positively related to greater desired proportions of time at the associated location. These variables capture the major elements previously hypothesized to influence telecommuting preference (including work, family, independence, and commute stress reduction drives as well as manager and job suitability constraints) in a parsimonious fashion. The model explained 55% of the theoretical maximum amount of information in the data, and did not violate the Independence of Irrelevant Alternatives (IIA) assumption.

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  • Mokhtarian, Patricia & Bagley, Michael, 2000. "Modeling Employees' Perceptions and Proportional Preferences of Work Locations: The Regular Workplace and Telecommuting Alternatives," Institute of Transportation Studies, Working Paper Series qt52v5c9wr, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt52v5c9wr
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    2. Mokhtarian, Patricia L., 2016. "Discrete choice models’ ρ2: A reintroduction to an old friend," Journal of choice modelling, Elsevier, vol. 21(C), pages 60-65.
    3. Martin Christian Höcker & Yassien Bachtal & Andreas Pfnür, 2022. "Work from home: bane or blessing? Implications for corporate real estate strategies [Work from Home: Fluch oder Segen? Implikationen für das betriebliche Immobilienmanagement]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 8(2), pages 101-137, October.
    4. Stéphanie Souche, 2023. "Which transport modes do people use for travelling to coworking spaces (CWSs)?," Post-Print halshs-04010016, HAL.
    5. Anjan Ray Chaudhury & Madhabendra Sinha, 2020. "Does Education Produce Identical Labour Market Outcomes for All? A Study on India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(3), pages 309-331, August.
    6. Daniel A Rodríguez, 2002. "Examining Individuals' Desire for Shorter Commute: The Case of Proximate Commuting," Environment and Planning B, , vol. 29(6), pages 867-881, December.
    7. Huseyin Yener, 2022. "Evaluating employee attitudes on working home style during Covid-19 pandemic," Technium Social Sciences Journal, Technium Science, vol. 28(1), pages 497-504, February.
    8. Muhammad, Saim & de Jong, Tom & Ottens, Henk F.L., 2008. "Job accessibility under the influence of information and communication technologies, in the Netherlands," Journal of Transport Geography, Elsevier, vol. 16(3), pages 203-216.
    9. Mattias Gripsrud & Randi Hjorthol, 2012. "Working on the train: from ‘dead time’ to productive and vital time," Transportation, Springer, vol. 39(5), pages 941-956, September.
    10. Sigal Kaplan & Shlomo Bekhor & Yoram Shiftan, 2011. "Development and estimation of a semi-compensatory residential choice model based on explicit choice protocols," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 51-80, August.
    11. Tang, Wei & Mokhtarian, Patricia L & Handy, Susan L, 2008. "The Role of Neighborhood Characteristics in the Adoption and Frequency of Working at Home: Empirical Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt13x2q3rb, Institute of Transportation Studies, UC Davis.
    12. Xing, Yan & Handy, Susan L. & Mokhtarian, Patricia L., 2010. "Factors Associated with Proportions and Miles of Bicycling for Transportation and Recreation in Six Small U.S. Cities," Institute of Transportation Studies, Working Paper Series qt74n4j1p0, Institute of Transportation Studies, UC Davis.
    13. de Abreu e Silva, João & Melo, Patrícia C., 2018. "Does home-based telework reduce household total travel? A path analysis using single and two worker British households," Journal of Transport Geography, Elsevier, vol. 73(C), pages 148-162.
    14. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.
    15. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.

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