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

Tahlyan, Divyakant; Said, Maher; Mahmassani, Hani S.; Stathopoulos, Amanda; Walker, Joan L.; Shaheen, Susan

doi:10.1016/j.tra.2021.11.025

Cited by 48 publications

(52 citation statements)

References 63 publications

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“…Significant effect is not found for those aged between 30 and 39, or for those aged over 50. The findings are consistent with some studies suggesting that there is a parabolic relationship between home office satisfaction and age [ 93 ]. Proper remote working conditions at home and a stronger emphasis on social interactions [ 94 ] can explain the age different results observed between youngers and the others.…”

Section: Resultssupporting

confidence: 92%

Digitally transformed home office impacts on job satisfaction, job stress and job productivity. COVID-19 findings

2022

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In these times of successive lockdown periods due to the health crisis induced by COVID-19, this paper investigates how the usages of collaborative and communication digital tools (groupware, workflow, instant messaging and web conference) are related to the evolution of teleworkers’ subjective well-being (job satisfaction, job stress) and job productivity comparing during and before the first lockdown in spring 2020. Using a sample of 438 employees working for firms located in Luxembourg, this analysis enables, first, to highlight different profiles of teleworkers regarding the evolution of usages of these tools during the lockdown compared to before and the frequency of use during. Second, the analysis highlights that these profiles are linked to the evolution of job satisfaction, job stress and job productivity. Our main results show that (1) the profile that generates an increase in job productivity is the one with a combined mastered daily or weekly use of all of the four studied digital tools but at the expense of job satisfaction. On the contrary, (2) the use of the four digital tools both before and during the lockdown, associated with an increase in the frequency of use, appears to generate too much information flow to deal with and teleworkers may suffer from information overload that increases their stress and reduces their job satisfaction and job productivity. (3) The habit of using the four tools on a daily basis before the lockdown appears to protect teleworkers from most of the adverse effects, except for an increase in their job stress. Our results have theoretical and managerial implications for the future of the digitally transformed home office.

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Section: Resultssupporting

confidence: 92%

Digitally transformed home office impacts on job satisfaction, job stress and job productivity. COVID-19 findings

2022

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“…This may be because younger people are forced to work at home, as some schools or companies are encouraging WFH during COVID-19. The findings are similar to Tahlyan et al ( 31 ), who indicated that older people have lower satisfaction and higher obstacles to WFH than the younger middle-aged people during COVID-19. Unlike the pre-pandemic period, our findings suggest that younger people are 2.9% more likely to make shopping trips.…”

Section: Resultssupporting

confidence: 90%

“…Overall, while the benefits of WFH for sustainability, flexibility, or reducing commute trips have been explored, the potential for WFH to promote alternate activities, like more online shopping or making shopping trips, is less explored in previous studies. Furthermore, the COVID-19 pandemic may intervene in these relationships, as suggested by the recent literature on COVID-19 and ICT uses ( 30 – 33 ). Therefore, it is necessary to investigate the effects of COVID-19 as well.…”

Section: Literature Reviewmentioning

confidence: 99%

Interaction Between Information and Communication Technologies and Travel Behavior: Using Behavioral Data to Explore Correlates of the COVID-19 Pandemic

Patwary

Khattak

2022

Transportation Research Record: Journal of the Transportation R

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The COVID-19 pandemic has highlighted the importance of information and communication technologies (ICTs) in providing virtual engagement. Planners and engineers must determine whether cities will see reductions in travel demand, given the increasing use of ICTs. Notably, ICTs facilitate online shopping and working from home (WFH). Generally, online shopping may lead to fewer shopping trips; similarly, WFH may reduce work-related trips. However, more WFH has the potential to generate other non-work trips, including shopping trips. To find answers and explore interdependencies, this study integrates pre-pandemic behavioral data with during-pandemic travel data. In our framework, WFH and online shopping are considered together. By harnessing the pre-pandemic 2017 National Household Travel Survey data, this study jointly analyzes the relationships between shopping trips, online shopping, and WFH with a conditional mixed process model that can address unobserved endogeneity and selection bias. The results suggest that, before the pandemic, online shopping was associated with fewer in-person shopping trips while WFH was associated with more shopping trips. The role of socio-demographic, locational, and travel-related factors is also explored. The during-pandemic data and analysis capture how COVID-19 affected travel behavior. Results show that the relationships among the key variables found in the pre-pandemic data are similar but differ in magnitude from during the pandemic. WFH increased from 12% to 61% during COVID-19, admittedly an unusual situation. In the next “new normal,” planners may improve travel demand models by treating WFH explicitly as an alternative to traveling to work in the trip generation and time of day models.

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“…As a result, there is a relative consensus that teleworkers tend to have longer commutes (Adobati & Debernardi, 2022 ; de Abreu e Silva & Melo, 2018 ; Denham, 2021 ; Melo & de Abreu e Silva, 2017 ; Mokhtarian et al, 2004 ; Ravalet & Rérat, 2019 ; Wells et al, 2001 ; Zhu, 2012 , 2013 ). A relevant proportion of studies agree that teleworkers tend to reside in suburban areas (Bhuiyan et al, 2020 ; de Abreu e Silva & Melo, 2018 ; Fu et al, 2012 ; Kim et al, 2012 ), or have suburban preferences (Ettema, 2010 ; Tahlyan et al, 2022 ). Nevertheless, there are still some studies reporting that teleworkers live in more urban and central areas (Ellen & Hempstead, 2002 ; López Soler et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…More recently, a new stream of studies in transportation began to look at attitudinal variables and preferences to explain the adoption of telework. Several of these studies relate telework adoption and satisfaction to attitudinal constructs in relation to telework perceptions and attitudes about work (Haddad et al, 2009 ; Jain et al, 2021 ; Loo & Wang, 2018 ; Tahlyan et al, 2022 ). So far, to the best of my knowledge, none of the studies relating telework adoption to residential location patterns have explicitly incorporated variables describing attitudes and residential location preferences.…”

Section: Introductionmentioning

confidence: 99%

Residential preferences, telework perceptions, and the intention to telework: insights from the Lisbon Metropolitan Area during the COVID‐19 pandemic

Silva

2022

Regional Science Policy & Practice

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Confinement measures imposed during the COVID‐19 pandemic forced many people to work from home. As telework reduces commuting costs, there is the possibility of contributing to urban sprawl as it allows people to move to the periphery. A web‐based survey focusing on telework was conducted in the Lisbon Metropolitan Area. A structural equation model was built to study the influence of residential location preferences, perceptions about telework, and current residential location with the intention to engage in telework. People willing to telework more frequently have a higher probability of living in suburban locations, preferring this type of environment and having longer commutes. These results support the premise that telework acts as a mechanism to reduce commute burden.

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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

Cited by 48 publications

References 63 publications

Digitally transformed home office impacts on job satisfaction, job stress and job productivity. COVID-19 findings

Digitally transformed home office impacts on job satisfaction, job stress and job productivity. COVID-19 findings

Interaction Between Information and Communication Technologies and Travel Behavior: Using Behavioral Data to Explore Correlates of the COVID-19 Pandemic

Residential preferences, telework perceptions, and the intention to telework: insights from the Lisbon Metropolitan Area during the COVID‐19 pandemic

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