Optimization of the knowledge management system through a task-technology conformity approach to encouraging employee performance: The moderating role of outcomes expectations

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S. Martono, Vini Wiratno Putri, Angga Pandu Wijaya, Iwan Nafi' Budi Prayitno, Nury Ariani Wulansari, Siti Ridloah, Moh. Khoiruddin

2023 AIP Conference Proceedings Vol. 2765 Issue 1 Conference paper Cited by 0 Quartile

Abstract

This study aims to explain the effect of task-technology fit (KMS fit) and KMS usage on performance impact either directly or through mediation. In addition, this study also aims to examine the moderating potential of outcomes expectation in this relationship. The sample of this research is the employees of Semarang State University, totaling 100 respondents. Random sampling technique is used in this study. The data collection method used is a Likert scale 1-5 questionnaire aimed at the teaching-staff employees. Hypothesis testing uses path coefficient values and is carried out by t-test through SmartPLS 3.0. The results show that the performance impact is directly affected by task-technology fit (KMS fit) and KMS usage. Task-technology fit (KMS fit) also directly encourages KMS usage. The mediating mechanism of KMS usage in this study is not proven. Meanwhile, the outcomes expectations are proven to moderate the effect of task-technology fit (KMS fit) on KMS usage. This study tries to answer the needs of previous research by examining the mechanisms of mediation and moderation, and is carried out in different organizational contexts and countries. This study contributes to the development of the previous literature, and also to the practical field to consider the importance of task-technology fit in the application of information technology systems. Future research needs to continue to develop these topics and models by examining them in different contexts with larger samples. © 2023 Author(s).

Affiliations

Management Department, Faculty of Economics, Universitas Negeri Semarang, Semarang, 50229, Indonesia