Modeling of Factors Impacting Remote Workforce During COVID-19
Lecture Notes in Mechanical Engineering
; : 199-208, 2023.
Article
in English
| Scopus | ID: covidwho-2245197
ABSTRACT
The way an organization operates has a pattern to it. A knowledge-based way of understanding these patterns and implementing according to them retains the competitive advantage of the organizations. Thus, identifying factors is important because, if successful, it results in shared intellectual capital. Changing the core of the pattern upon which the organization works creates several problems in retaining an organization's competitiveness. This research focuses on identifying the elements which have a significant influence on an organization's operations due to the remote working of employees during situations like the COVID-19 pandemic. Further, the relationships of factors among each other have been explored from the available research. Based on the study of various organizations it has been found that not much work has been done to identify such factors even though several organizations have suddenly opted for their workforce to work remotely due to the COVID-19 pandemic. This has resulted in lost productivity and opportunities, organizational dis-balances, and a slower rate of development. The generated model may help organizations to understand the weak notes of remote working and implement structural changes accordingly to improve the productivity in remote working and tackle the productivity and opportunity loss due to remote workforce. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
COVID-19; Knowledge based systems; Knowledge management; Personnel; Interaction matrices; Interpretive structural modeling; Interpretive structural models; Knowledge based; Modeling; Remote working; Remote working factor; Self-interactions; Structural self-interaction matrix; Competition; Interpretive structural modeling (ISM); Remote working factors; Structural self-interaction matrix (SSIM)
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
Lecture Notes in Mechanical Engineering
Year:
2023
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS