Modeling the Process of Adoption of Telecommuting: Comprehensive Framework

Bernardino, Adriana; Ben‐Akiva, Moshe

doi:10.1177/0361198196155200122

Cited by 20 publications

(8 citation statements)

References 4 publications

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“…Also, individuals in households with more workers have a higher preference to adopt telecommuting and to telecommute frequently relative to households with fewer workers. As household income increases, individuals are significantly more likely to telecommute, a finding that is consistent with many previous studies (see Bernardino and Ben-Akiva, 1996;Mannering and Mokhtarian, 1995;Popuri and Bhat, 2003). This may be attributed to more control over work-location-related and work-timing choices as one`climbs the work ladder'.…”

Section: Household Demographicssupporting

confidence: 88%

“…However, the study was limited by the small percentage of (frequent) telecommuters within the survey sample. Several other revealed-preference studies have also focused on the choice of telecommuting, occasionally with some representation of frequency in the broad manner of Mannering and Mokhtarian (1995) (eg see Bernardino and Ben-Akiva, 1996;Mokhtarian and Salomon, 1996b;1997). Another revealed-preference study with a more national focus (rather than the regional focus of the studies just mentioned ) is the one by Drucker and Khattak (2000).…”

Section: Overview Of Earlier Studies and Current Papermentioning

confidence: 99%

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A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency

Sener¹,

Bhat

2011

Environ Plan A

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The objective of this study is to contribute to the telecommuting literature by jointly examining the propensity and frequency of workers to telecommute, using a rich set of individual demographics, work-related and industry characteristics, household demographics, and commute trip/work location characteristics. The data are drawn from the Chicago Regional Household Travel Inventory, collected between 2007 and 2008. From a methodological standpoint, the current study adopts a copula approach that allows the testing of several types of dependency structures between the telecommuting choice and frequency behavioural processes. To our knowledge, this is the first formulation and application in the econometric literature of a copula approach for the case of a binary self-selection mechanism with an ordered-response outcome.The results clearly indicate that telecommuting choice and the frequency of telecommuting are governed by quite different underlying behavioral processes. For instance, women are less likely to telecommute relative to men, though there is no statistically significant difference in telecommuting frequency propensity between men and women telecommuters. Similarly, full-time employed individuals (≥ 30 hours per week) are more likely to have a telecommuting arrangement than those working part-time (< 30 hours per week). However, among those who telecommute, fulltime employed individuals telecommute less frequently than part-time employed individuals.Further, the results suggest that the analyst risks the danger of incorrect conclusions regarding dependency in the telecommuting choice and frequency behavioral processes, as well as inconsistent and inefficient parameter estimates, by imposing incorrect dependency structures or assuming independence between the two behavioral processes. Overall, the empirical results indicate the important effects of several demographic and work-related variables on telecommuting choice and frequency, with implications for transportation planning and transportation policy analysis.

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Section: Household Demographicssupporting

confidence: 88%

Section: Overview Of Earlier Studies and Current Papermentioning

confidence: 99%

A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency

Sener¹,

Bhat

2011

Environ Plan A

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“…As there have been high expectations of telecommuting as a traffic-managing tool, an extensive amount of research has addressed impacts on travel patterns as a whole (e.g., Balepur, Varma, & Mokhtarian, 1998;Bernardo & Ben-Akiva, 1996;Mokhtarian, 1998). Further research has dealt with identification of typologies of telecommuters as a way to assess future growth and trends of telecommuting (Drucker & Khattak, 2000;Mannering & Mokhtarian, 1995;Popuri & Bhat, 2003;Sullivan, Mahmassani, & Yen, 1993).…”

Section: Introductionmentioning

confidence: 99%

Company Incentives and Tools for Promoting Telecommuting

Robèrt¹,

Börjesson

2006

Environment and Behavior

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ROBÈRT (MSc in engineering physics and Lic. of technology) is a researcher in urban planning, Royal Institute of Technology, Stockholm, Sweden. In his past research, he has focused on assessment of company travel policies and alternative mobility management services as tools toward a more sustainable transport system. In most studies, discrete choice modeling has served an essential role in the evaluation and analysis of individual preferences and attitudes regarding the mobility management alternatives. MARIA BÖRJESSON (MSc in engineering physics and Lic. of technology) is a researcher in transport and location analysis, Royal Institute of Technology, Stockholm, Sweden. Her research interest lies in development of tools for analysis and forecasting with applications in infrastructure, planning and spatial and environmental policy evaluation, and discrete choice modeling in particular.ABSTRACT: The aim of this article is to identify company and employee benefits from telecommuting. Telecommuting implies that a large proportion of the company's office space is unoccupied. To use this efficiently, flexible offices could be introduced in which the employees do not have their own office but use any desk in an open office space. In addition, if telecommuting implies reductions in office space in which employees donate the use of their homes-rent free-to the employer, it is quite fair for the employer to consider returning some of that savings to the telecommuters in compensation for the use of their homes. The results indicate that employees are in fact sensitive to the monetary compensation and that company benefits could be obtained.

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“…These studies primarily investigated two aspects: factors that influence choices/frequencies of telecommuting and subsequent travel demand impacts. Bernardino and Ben-Akiva (1996) estimated structural equation models to investigate the joint probability of workers’ telecommuting frequency and availability of telecommuting options. They found that telecommuting was positively associated with workers’ productivity as well as their quality of life.…”

Section: Literature Reviewmentioning

confidence: 99%