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Investigating the effect of learning management system transition on administrative staff performance using task-technology fit approach

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Article history: Received: July 10, 2020 Received in revised format: October 18 2020 Accepted: October 25, 2020 Available online: October 25, 2020 Educational institutions are adopting learning management systems (LMS)… Click to show full abstract

Article history: Received: July 10, 2020 Received in revised format: October 18 2020 Accepted: October 25, 2020 Available online: October 25, 2020 Educational institutions are adopting learning management systems (LMS) to facilitate teaching and learning processes. During the last few years, many Universities have started upgrading their existing LMS by shifting to advance LMS. This shift requires students, academic as well as administrative staff to get acquainted with the functioning of the new system at the earliest, as any change in the system may impact their performance. The transition from old to new LMS requires time and affects the performance of users, especially administrative staff performance. The present study tries to investigate the effect of the transition on the performance of the administrative staff. The task-technology fit (TTF) model was adopted as the theoretical framework for the study. The data analysis was done using the PLS-SEM, to test the hypothesized relationships. The findings of the study confirm that mere usage of the new technology did not improve the performance rather, the task and technology characteristics need to be coordinated appropriately. © 2021 by the authors; licensee Growing Science, Canada

Keywords: management; administrative staff; task technology; performance

Journal Title: Management Science Letters
Year Published: 2021

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