| Literature DB >> 36231675 |
Bruna Ferrara1, Martina Pansini1, Clara De Vincenzi1, Ilaria Buonomo1, Paula Benevene1.
Abstract
Remote working refers to a working model in which employees can pursue work tasks outside the organization due to the use of technology. Several research papers showed that different assumptions are linked to remote work because of the flexibility and autonomy granted to employees when working remotely or from home. This review consistently aims to describe remote work's role in employees' well-being and performance. Using the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines, 20 peer-reviewed papers published from 2010 until 2021 were selected for this review. Findings showed various and mixed consequences on employees' performance and well-being. Specifically, remote working affects employees' perceptions about themselves and their workplaces and contributes to their physical and mental health, particularly regarding work-life balance. Managerial implications for remote working implementation will be discussed in the paper.Entities:
Keywords: employees wellbeing; innovative; intrapreneurial skills; occupational health promotion; positive attitudes at work; smart learning; work-health balance; working environments
Mesh:
Year: 2022 PMID: 36231675 PMCID: PMC9566387 DOI: 10.3390/ijerph191912373
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1PRISMA 2020 flow diagram for new systematic reviews which included searches of databases and registers only. * Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers).
Characteristics of included studies.
| Authors | Paper Characteristic | Participant Characteristics | Remote Working Definition | Effects Reported | ||||
|---|---|---|---|---|---|---|---|---|
| Year | Study Methodology | Organization (Type) | Participants | Antecedents | Positive Outcomes | Negative Outcomes | ||
| Fonner et al., 2010 [ | 2010 | Quantitative |
| N = 192 (89 teleworkers and 103 office-based employees) | high-intensity telework | lower work-life conflict; higher job satisfaction | ||
| Fonner et al., 2012 [ | 2012 | Quantitative |
| N = 192 (89 teleworkers and 103 office-based employees) | high connectivity due to telework | lower identification; higher stress from interruptions | ||
| Grant et al., 2013 [ | 2013 | Qualitative | five organizations across three sectors (private, public and voluntary) | N = 11 (e-workers) | Over-working and lack of time for recuperation | adverse impacts on well-being | ||
| Higgins et al.., 2014 [ | 2014 | Quantitative |
| N = 16,145 (7102 men and 9043 women) | telework and high work demands | higher levels of work-to-family conflict (WFC) | ||
| Anderson et al., 2015 [ | 2015 | Quantitative | US federal agency | N = 702 (teleworkers) |
| teleworking days | high positive job-related affective well-being (PAWB); low negative job-related affective well-being (NAWB) | |
| Henke et al., 2016 [ | 2016 | Quantitative |
|
| low-intensity telecommuters | significantly lower probability of depression | ||
| Bentley et al., 2016 [ | 2016 | Quantitative | 28 organisations | N = 804 (teleworkers) | Social support and teleworker support | higher job satisfaction; lower psychological strain | ||
| Felsted et al., 2017 [ | 2017 | Quantitative |
| N = 100.457 |
| telework | higher job satisfaction and organizational commitment | lower work-life balance (WLB) |
| Leung et al., 2017 [ | 2017 | Qualitative |
| N = 509 (teleworkers) | low flexibility, high permeability and ICT use at home | higher family-to-work conflict (FWC) | ||
| Suh 2017 [ | 2017 | Quantitative | 2 global IT companies | N = 258 (teleworkers) | technology and job characteristics | higher technostress; lower job satisfaction | ||
| Vander Elst et al., 2017 [ | 2017 | Quantitative | IT company | N = 878 (employees) | social support, participation and task autonomy | higher work-related well-being | ||
| Giovanis 2018 [ | 2018 | Quantitative |
|
| Flexible employment arrangements | higher workplace performance | ||
| Giménez-Nadal et al., 2019 [ | 2019 | Quantitative |
| N = 43,374 (22,083 males; 21,291 females) |
| male teleworkers | lower levels of pain, tiredness and stress | |
| Davidescu et al., 2020 [ | 2020 | Mixed methods |
| N = 220 (employees) |
| partial home working | higher organizational performance, social and professional relationships, learning, work motivation | |
| Delanoeije et al., 2020 [ | 2020 | Quantitative | Engineering | N = 78 (39 intervention group; 39 control group) | teleworking days | lower stress and work to-home conflict; higher engagement and performance | ||
| Kazekami 2020 [ | 2020 | Quantitative |
| N = 9200 (regular employees) |
| Teleworking commuters or low-intensity teleworkers | higher productivity; higher life satisfaction | |
| Song et al., 2020 [ | 2020 | Quantitative |
|
| telework | lower subjective well-being; higher stress level | ||
| Darouei et al., 2021 [ | 2021 | Quantitative | Legal, academia, IT | N = 34 (professional workers) | Teleworking day | lower time pressure and work-family conflict | ||
| Heiden et al., 2021 [ | 2021 | Quantitative | Public universities | N = 392 (academics) |
| high-intensity telework | higher stress and conflict within the organization | |
| Kapoor et al., 2021 [ | 2021 | Quantitative |
| N = 326 (employees) | perceived stress, telework (mediator) | higher psychological stress, lower psychological well-being | ||
Note. ns = not specified. In “Telework definition” is reported the definition referred to by the authors in each paper.