Extending the Task-Technology Fit Theory with a Skill Fit Construct: A Case Study of a Transaction Control Log and Accounting System

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Bibliographic Details
Title: Extending the Task-Technology Fit Theory with a Skill Fit Construct: A Case Study of a Transaction Control Log and Accounting System
Language: English
Authors: Jamchan Kongpol, Nitaya Wongpinunwatana, Siriwan Pinyosiripan
Source: Research in Social Sciences and Technology. 2025 10(3):23-39.
Availability: Research in Social Sciences and Technology. Yesilova Mah. Caldiran Cad. 29/11 Etimesgut Ankara, Turkey; Web site: https://ressat.org/index.php/ressat
Peer Reviewed: Y
Page Count: 17
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Goodness of Fit, Information Systems, Job Performance, Job Skills, Foreign Countries, Use Studies, Accounting, Computer Software, Computer Use
Geographic Terms: Thailand
ISSN: 2468-6891
Abstract: Numerous studies have employed the Task-technology fit (TTF) theory to examine the impact of information systems used for training. While some of these studies reported positive outcomes, others presented mixed results on the impact of the systems improving users' performance in problem solving and learning. One possible explanation for these inconsistencies is likely caused by additional factors beyond the task and technology characteristics emphasized in TTF. This research is a preliminary study to enhance understanding of TTF and its impact on system usage and work performance. The study argues that tasktechnology alignment should also consider users' skills and the fit between the task and technology. Therefore, this research explores the effects of task characteristics, technology characteristics, and users' skills on system usage and work performance. Data from 210 participants of the Revenue Department of Thailand was analyzed using a two-way factorial multivariate analysis (Factorial MANOVA) to assess the impact of Task-technology-skill fit (TTSF) on system usage and work performance. Additionally, a simple regression analysis was conducted to examine the effect of system usage on work performance. The findings indicated that the fit among tasks, technology, and skills significantly impacts system usage and work performance. However, the system usage does not directly affect work performance. This study proposed a factorial design to depict the task-technology-skill fit, the first to introduce this integrated framework.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1489401
Database: ERIC
Description
Abstract:Numerous studies have employed the Task-technology fit (TTF) theory to examine the impact of information systems used for training. While some of these studies reported positive outcomes, others presented mixed results on the impact of the systems improving users' performance in problem solving and learning. One possible explanation for these inconsistencies is likely caused by additional factors beyond the task and technology characteristics emphasized in TTF. This research is a preliminary study to enhance understanding of TTF and its impact on system usage and work performance. The study argues that tasktechnology alignment should also consider users' skills and the fit between the task and technology. Therefore, this research explores the effects of task characteristics, technology characteristics, and users' skills on system usage and work performance. Data from 210 participants of the Revenue Department of Thailand was analyzed using a two-way factorial multivariate analysis (Factorial MANOVA) to assess the impact of Task-technology-skill fit (TTSF) on system usage and work performance. Additionally, a simple regression analysis was conducted to examine the effect of system usage on work performance. The findings indicated that the fit among tasks, technology, and skills significantly impacts system usage and work performance. However, the system usage does not directly affect work performance. This study proposed a factorial design to depict the task-technology-skill fit, the first to introduce this integrated framework.
ISSN:2468-6891