Digital Working During The Covid-19 Pandemic: How Task-Technology Fit Improves Work Performance And Lessens Feelings Of Loneliness

Simen Nordbo Abelsen, Svenn-Helge Vatne,Patrick Mikalef,Jyoti Choudrie

INFORMATION TECHNOLOGY & PEOPLE(2023)

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摘要
Purpose This study aims to investigate the relationship between information and communication technologies (ICTs) use and work performance during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, it aims to understand what the role of task-technology fit is, and what effect this has on feelings of loneliness of individuals and their subsequent work performance. As a large proportion of workers are required to work from home during the ongoing COVID-19 pandemic, understanding what aspects contribute to higher performance and reduced negative psychological outcomes is of increased practical and research interest. Design/methodology/approach To explore these questions, a quantitative approach that employed a sample population of 357 individuals who worked from home during the COVID-19 pandemic was used. Using a convenience, purposive and snowball sampling approach the authors collected data through a custom-built online questionnaire, and analyzed the data using structural equation modeling (SEM). Findings The results highlight the effect that high task-technology fit has in both directly and indirectly influencing work performance of individuals. The authors find that by designing ICTs based on task-technology fit principles, individuals are less likely to experience feelings of loneliness while working from home and are more prone to perform better in their work-related tasks. Originality/value This study offers a new perspective on the role fit of tasks with technology have on influencing psychological states, and indirectly influencing work-related outcomes. The authors, therefore, expand the understanding about why task-technology fit is sought after by explaining part of the psychological mechanisms through which it has an effect on work performance.
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关键词
Partial least squares, Computer-supported collaborative work (CSCW), Work performance, Survey data, Task-technology fit, Quantitative method
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