Review of work from home empirical research during Covid-19

Dogra, Prinka; Priyashantha, K. G.

doi:10.1016/j.apmrv.2023.04.003

Cited by 10 publications

(10 citation statements)

References 90 publications

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“…Using the co-occurrence of the keywords in an article, different links can be made (Aparicio et al, 2019). In a map known as "keyword cooccurrence network visualization," the VOSviewer depicts these connections (Andrlić et al, 2023;Dogra & Priyashantha, 2023;Priyashantha, 2023;Priyashantha, De Alwis, et al, 2022). The term co-occurrence analysis is essential to identifying the term used in article abstracts.…”

Section: Methods Of Analysismentioning

confidence: 99%

A Bibliometric Analysis of Data Governance Research: Trends, Collaborations, and Future Directions

Abeykoon,

Sirisena

2023

S. Asian J. Bus. Insights

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Research on data governance has been shaped by an excessive number of articles published in recent decades. The research study used bibliometric techniques to examine 757 journal articles in the Scopus database and it shows a dynamic growth of the topic in the selected years from 2012 to 2022. The methodology is based on the performance analysis technique and science mapping technique in bibliometric analysis. The results explore the contribution to the domain in terms of authors, sources, and countries, disclose the network between the countries and scholars relevant to the publications, and provide research areas that need more attention which drives data governance. Data protection, data access, artificial intelligence, data management, cloud computing, blockchain, and data transformation are among the areas where there is a lack of information, therefore academics should pay closer attention to them in the future. The authors observed that a wide range of disciplines have been used to address the topic of data governance. The study lays the foundation for academics, practitioners, and policymakers to conduct more future research and leads to advancing data governance research.

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Section: Methods Of Analysismentioning

confidence: 99%

A Bibliometric Analysis of Data Governance Research: Trends, Collaborations, and Future Directions

Abeykoon,

Sirisena

2023

S. Asian J. Bus. Insights

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“…The domain of remote work has grown over time and multiple review studies have been conducted to systematize and synthetize existing knowledge on this articulated research field (Baruch, 2001;Bailey & Kurland, 2002;Athanasiadou & Theriou, 2021;Shin et al, 2000;Siha & Monroe, 2006;Raghuram et al, 2019;Lamovšek & Černe, 2023;Dogra & Priyashantha, 2023). However, most of them are related to the pre-pandemic period and, thus, they do not allow to trace the tremendous evolution of this corpus of literature throughout last years.…”

Section: Review Studies On Remote Work Before and During Covid-19mentioning

confidence: 99%

“…The association of a specific working model (i.e., work from home or work remotely) with finding satisfaction in work is of crucial importance since this job attitude is a key aspect of individual life and organizational effectiveness and it is directly linked to individual wellbeing (Judge & Church, 2000). As pointed out by Dogra & Priyashantha (2023), significant evidence exists about the positive effects of Covid-19 induced telework and related conditions -such as job characteristics -on job satisfaction (e.g., Irawanto et al, 2021).…”

Section: Community 1: Human Resource Management and Remote Workmentioning

confidence: 99%

“…Although most quantitative studies found that work from home during the pandemic positively impact work engagement (Dogra & Priyashantha, 2023), recent qualitative research documents the detrimental effects of remote work for employee engagement during the pandemic due to stress factors and the depletion of social and personal resources (Adisa et al, 2023). In addition, it seems that rather that differences in terms of the intensity of work engagement, remote workers and on-site workers differed in terms of the most influential determinants (Wontorczyk & Rożnowski, 2022).…”

Section: Community 1: Human Resource Management and Remote Workmentioning

confidence: 99%

“…Finally, several intersections across communities 2, 3 and 6 have been already found in available research on Covid-19 induced work. In their systematic literature review on remote work and the Covid-19 pandemic, Aleem et al (2023) exploited LDA topic modelling to identify a specific topic within the employee-related research focused on how Covid-19-induced remote work impactsthe mental health (cluster 6) and well-being (cluster 1) of the employees and potential strategies that can be adopted to mitigate unwanted conditions of burnout (cluster 3), stress or anxiety (cluster 6).As emerged fromDogra & Priyashantha (2023) a large amount of studies conducted on specific employee work-related outcomes of telework (cluster 2), such as job productivity and job satisfaction(Feng & Savani, 2020) or work-life balance (González Ramos & García-de-Diego, 2022) have been examined in relation to gender. Similarly, most research focused on the work-life interface adopted a gender perspective (cluster 3), as evidenced by the emergent topic "family life and gender" identified byAleem et al (2023).…”

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confidence: 99%

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