What Drives Telecommuting?

Walls, Margaret; Safirova, Elena; Jiang, Yi

doi:10.3141/2010-13

Cited by 52 publications

(25 citation statements)

References 17 publications

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“…Education probably also serves as a proxy for skill-level, with the signi cance in our model consistent with Mahmassani et al (1993) and Walls et al (2007), who found that individuals with higher levels of education are more inclined than others to work independently and to prefer WAH.…”

Section: Unobserved Variablessupporting

confidence: 77%

“…A number of studies have analyzed the characteristics of home workers (Kuenzi and Reschovsky 2001;Mokhtarian and Henderson 1998;Plaut 2005;Sa rova and Walls 2004), adoption of telecommuting (Bernardino et al 1993;Mahmassani et al 1993;Salomon 1996, 1997;Walls et al 2007), and frequency of telecommuting (Mannering and Mokhtarian 1995;Olszewski and Mokhtarian 1994;Sullivan et al 1993;Varma et al 1998;Walls et al 2007) in the last two decades.…”

Section: Literature Reviewmentioning

confidence: 99%

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The impact of the residential built environment on work at home adoption frequency: An example from Northern California

Tang

Mokhtarian

Handy

2011

JTLU

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Working at home is widely viewed as a useful travel-reduction strategy, and it is partly for that reason that considerable research related to telecommuting and home-based work has been conducted in the last two decades. is study examines the effect of residential neighborhood built environment (BE) factors on working at home. A er systematically presenting and categorizing various relevant elements of the BE and reviewing related studies, we develop a multinomial logit (MNL) model of work-at-home (WAH) frequency using data from a survey of eight neighborhoods in Northern California. Potential explanatory variables include sociodemographic traits, neighborhood preferences and perceptions, objective neighborhood characteristics, and travel attitudes and behavior. e results clearly demonstrate the contribution of built environment variables to WAH choices, in addition to previously-identi ed in uences such as sociodemographic predictors and commute time. BE factors associated with (neo)traditional neighborhoods were associated both positively and negatively with working at home.e ndings suggest that land use and transportation strategies that are desirable from some perspectives will tend to weaken the motivation to work at home, and conversely, some factors that seem to increase the motivation to work at home are widely viewed as less sustainable. Accordingly, this research points to the complexity of trying to nd the right balance among demand management strategies that sometimes act in competition rather than in synergy.

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Section: Unobserved Variablessupporting

confidence: 77%

Section: Literature Reviewmentioning

confidence: 99%

The impact of the residential built environment on work at home adoption frequency: An example from Northern California

Tang

Mokhtarian

Handy

2011

JTLU

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“…As such, organizational decision makers may want to take heed, for if the use of ICT outside the central office can indeed help organizations be more productive, strengthen organizational commitment, secure employee retention, and improve performance, the decision of whether or not to implement a telework program could be the factor that determines whether or not an organization becomes part of that future or a thing of the past. Walls et al (2007) conducted a survey on the Southern California residents to evaluate the relative importance of factors which affect workers' propensity to telecommute and telecommuting frequency. The survey collected a wealth of individual demographic information as well as job type, industry, and employer characteristics from about 5,000 residents.…”

Section: Advantages Of Teleworkingmentioning

confidence: 99%

Information and communication technology applications and their role in providing telecommuting job opportunities: A practical study on the private sector in Riyadh southern provinces

Alghauly¹,

Alghwali²,

Almekhlafi³

2019

Int. j. adv. appl. sci.

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This study examines: (1) the relationship between modern ICT applications and telecommunications in providing telecommuting job opportunities, (2) the differences among the average responses of the sample for modern applications of ICT based on sector type and company size, and (3) the relative importance of private sector preferences for modern ICT applications among private sector incorporating in Southern Riyadh provinces. The final sample of this study consists of 124 CEOs, managers, and deputy managers from 80 companies. Using a survey-based method in 2017, the results of this study indicate that the mastery of job seekers for ICT applications (combined) provides telecommuting job opportunities in the study sample city with an average of (3.14); the mastery of job seekers for (chat applications) provides telecommuting job opportunities in the study sample with an average of 3.96; the mastery of job seekers for work-fromhome applications (virtual classroom applications and remote assistance applications) provides telecommuting job opportunities in the study sample with an average of 3.57; the mastery of job seekers for computer programs (office software) provides telecommuting job opportunities in the study sample with an average of 3.95; the mastery of job seekers for accounting and statistics programs does not lead to providing telecommuting job opportunities in the study sample as the average was 2.98; the mastery of job seekers for social networking applications (social networks) provides telecommuting job opportunities in the study sample, where the average was 3.62; the mastery of job seekers for designing programs provides telecommuting job opportunities in the study sample, with an average of 3.40; the mastery of job seekers for engineering planning programs does not lead to providing telecommuting job opportunities in the study sample, as the average was 2.14; and the existence of such kind of differences is due to demographic characteristics and their impact on the use of ICT applications.

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“…In terms of gender, Popuri and Bhat (2003), Yap and Tng (1990) and Wells et al (2001) had suggested that telecommuting would be of particular interest to women employees. Earlier studies had identified that age is also one of the factors that contribute to preference to adopt telecommuting Meenakshisundaram, 2002 andWalls et al, 2007). Thériault et al, (2005) had suggested that older workers are more likely to telecommute than younger ones.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The employees with a child under the age of four more often prefer to telecommute than employees with a child over 12 years of age. On other aspects, Walls et al (2007) claimed that both the choice and frequency decisions of telecommuting were found to be substantial influences of workplace-related factors. According to Brown (2010), job position plays an important role in the selection process or in some nontelecommuters' decision to opt out of telecommuting.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Factors Influencing the Stated Preference of Academic Employees Tow Ards Telecommuting in Iium Campus, Gombak

Ismail

Hamsa

Ibrahim

2012

PMJ

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Telecommuting acts as one of the Transportation Demand Management (TDM) measures that aimed to reduce peak hour traffic congestion by allowing commuters to work from home or a nearby telecommuting centre on certain days of the week. The increasing private vehicle usage by IIUM community (staffs and students) is posing a strain on the ability of the existing road and the related infrastructure on-campus. The purpose of this paper is to investigate factors influencing the stated preference of the academic staffs of IIUM towards various aspects of telecommuting. About 100 respondents had participated in this study through a self-administered questionnaire survey. Four research hypotheses highlighting the relationship between the preference to telecommute and commute distance, commute time, marital status having children as well as amount of time spent on research were formulated. Among the hypotheses, only the hypothesis highlighting the preference to telecommute and married female staff with children was tested statistically significant at 95% confidence interval. On the preference to telecommute, about 68% of the respondents expressed willingness to telecommute, even though, the University does not have an official policy on telecommuting arrangement. Some of the recommendations to increase the penetration of telecommuting in IIUM are: establishing telecommuting arrangement; promoting awareness of telecommuting; implementing telecommuting pilot project and conducting further study on various other aspects of telecommuting.

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What Drives Telecommuting?

Cited by 52 publications

References 17 publications

The impact of the residential built environment on work at home adoption frequency: An example from Northern California

The impact of the residential built environment on work at home adoption frequency: An example from Northern California

Information and communication technology applications and their role in providing telecommuting job opportunities: A practical study on the private sector in Riyadh southern provinces

Analysis of Factors Influencing the Stated Preference of Academic Employees Tow Ards Telecommuting in Iium Campus, Gombak

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