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Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models

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Author Info
Mokhtarian, Patricia L.
Salomon, Ilan

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Abstract

This paper begins to operationalize a previously published conceptual model of the individual decision to telecommute. Using survey data from 628 employees of the City of San Diego, hypothesized drives to telecommute and constraints on/facilitators of telecommuting are measured. A binary logit model of the preference to telecommute from home is estimated, having a [varrho]2 of 0.68. The explanatory variables include attitudinal and factual information. Factor analysis is performed on two groups of attitudinal questions, identifying a total of 17 (oblique) factors which can be classified as drives and constraints. Additional measures are created from other data in the survey, usually objective sociodemographic characteristics. Variables representing at least four of the five hypothesized drives (work, family, independence/leisure, and travel) are significant in the final model. Variables from four of the ten groups of constraints (Job suitability, social/professional and household interaction concerns, and a perceived benefit of commuting) are significant, primarily representing internal rather than external constraints. The results clearly demonstrate the importance of attitudinal measures over sociodemographic ones, as the same demographic characteristics (such as the presence of children, commute time) will have different effects on preference for different people.

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File URL: http://www.sciencedirect.com/science/article/B6VG7-3SWT2RP-3/2/06f29f83edf149fe7738dc0a0790cba0
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Publisher Info
Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

Volume (Year): 31 (1997)
Issue (Month): 1 (January)
Pages: 35-50
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Handle: RePEc:eee:transa:v:31:y:1997:i:1:p:35-50

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  1. Rognes, Jon, 2002. "Telecommuting resistance, soft but strong: Development of telecommuting over time, and related rhetoric, in three organisations," Working Paper Series in Business Administration 2002:1, Stockholm School of Economics. [Downloadable!]
  2. Patricia Mokhtarian & Ilan Salomon, 2005. "Modeling the Choice of Telecommuting 3: Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives," Labor and Demography 0505010, EconWPA. [Downloadable!]
    Other versions:
  3. Patricia Mokhtarian & Michael Bagley, 2000. "Modeling Employees' Perceptions and Proportional Preferences of Work Locations: The Regular Workplace and Telecommuting Alternatives," Institute of Transportation Studies, Working Paper Series UCD-ITS-REP-00-03, Institute of Transportation Studies, UC Davis. [Downloadable!]
    Other versions:
  4. Margaret Walls & Safirova, Elena & Jiang, Yi, 2006. "What Drives Telecommuting? The Relative Impact of Worker Demographics, Employer Characteristics, and Job Types," Discussion Papers dp-06-41, Resources For the Future. [Downloadable!]
  5. Patricia Mokhtarian & Ilan Salomon, 2001. "How Derived is the Demand for Travel? Some Conceptual and Measurement Considerations," Institute of Transportation Studies, Working Paper Series UCD-ITS-REP-01-15, Institute of Transportation Studies, UC Davis. [Downloadable!]
    Other versions:
  6. Krishna Varma & Chaang-Iuan Ho & David Stanek & Patricia Mokhtarian, 1998. "Duration and Frequency of Telecenter Use: Once a Telecommuter, Always a Telecommuter?," Institute of Transportation Studies, Working Paper Series UCD-ITS-REP-98-13, Institute of Transportation Studies, UC Davis. [Downloadable!]
  7. Thomas de Graaff & Piet Rietveld, 2004. "Telework, Frequency of Working Out-of-home, and Commuting: A Labor Supply Model and an Application to the Netherlands," ERSA conference papers ersa04p294, European Regional Science Association. [Downloadable!]
  8. Rognes, Jon, 2002. "Geographical dispersion and spontaneous interaction in an R&D environment," Working Paper Series in Business Administration 2002:2, Stockholm School of Economics. [Downloadable!]
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