Evidence map›Paper›PMID 35645453›Full record

ArticleBuilding and environment2022

Effects of the residential built environment on remote work productivity and satisfaction during COVID-19 lockdowns: An analysis of workers' perceptions.

Aidana Tleuken, Ali Turkyilmaz, Magzhan Sovetbek, Serdar Durdyev, Mert Guney, Galym Tokazhanov, Lukasz Wiechetek, Zbigniew Pastuszak, Anca Draghici, Maria Elena Boatca and 8 more

Abstract read
In one paragraph

Article in Building and environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Aidana TleukenDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.
Ali TurkyilmazDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.
Magzhan SovetbekDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.
Serdar DurdyevDepartment of Architectural and Engineering Studies, Ara Institute of Canterbury, Christchurch, New Zealand.
Mert GuneyDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.
Galym TokazhanovDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.
Lukasz WiechetekDepartment of Information Systems and Logistics, Maria Curie-Sklodowska University, Lublin, 5 20-031, Poland.
Zbigniew PastuszakDepartment of Information Systems and Logistics, Maria Curie-Sklodowska University, Lublin, 5 20-031, Poland.
Anca DraghiciDepartment of Management, Faculty of Management in Production and Transportation, Politehnica University of Timisoara, 14 Remus str., Timisoara, 300191, Romania.
Maria Elena BoatcaDepartment of Management, Faculty of Management in Production and Transportation, Politehnica University of Timisoara, 14 Remus str., Timisoara, 300191, Romania.
Valerij DermolInternational School for Social and Business Studies, Celje, 3000, Slovenia.
Nada TrunkInternational School for Social and Business Studies, Celje, 3000, Slovenia.
Serik TokbolatSchool of Architecture, Design and the Built Environment, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Tamar DolidzeBatumi State Maritime Academy, Batumi, 6010, Georgia.
Lin YolaSchool of Strategic and Global Studies, Universitas Indonesia, Jakarta, 10430, Indonesia.
Egemen AvcuThe Environment & Resource Efficiency Cluster (EREC), Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Jong KimDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.
Ferhat KaracaDepartment of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Av., Nur-Sultan, 010000, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pandemic has forced people to stay home and switch to the remote working mode, which - reportedly - affect job satisfaction and productivity. The present study investigates the relationship between the residential environment and worker's job satisfaction and productivity in the remote working mode during the COVID-19 pandemic. A hypothetical structural equation model (SEM) of the influencing factors is constructed based on a literature review and experts' opinions. A survey-based respondents' opinions (n = 2276) were then used to test and analyze the model. The model results reveal that a residential built environment has an indirect effect on both remote work satisfaction and productivity. However, among all the factors, comfortable space (separate space and ergonomic furniture) is found to be the most important. This study presents the importance of adopting a residential built environment to respond to a crisis like a pandemic in achieving the desired comfort level of remote work. Although this study provides a holistic approach, it also proposes a base for the future country-specific analysis by providing some possible countries' differences.

Indexed as

Job satisfactionPandemicProductivityRemote workStructural equation model (SEM)Teleworking

Identifiers

PMID35645453
PMCPMC9131446

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.