The Impacts of User Evaluationsof the Task-Technology Fit to  

Oleh:

Ali, Syaiful ; Wijanarko, Sigit

Jenis: Article from Journal - ilmiah internasional - terdaftar di DIKTI
Dalam koleksi: The Indonesian Journal of Accounting Research (Jurnal Riset Akuntansi Indonesia) vol. 16 no. 03 (Sep. 2013), page 231-247.
Topik: task-technology fit; task characteristics; technology character­ istics; individual characteristics; SIDJP (Sistem Informasi Direktorat Jenderal Pajak) and individual performance.

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: RR17 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

A key concern in Information System (IS) research has been to better understand the linkage between information systems and individuals' performance. The presence of technology in an organization will help the organization provide accurate and relevant information to support individuals in making decisions. The level of technology utilization and task-technology compatibility determine the effective impact of the technology on individuals 'performances. This study reexamines apart of the Technology-to-Performance Chain (TPC) model by incorporating individual characteristics but it does not include the construct of utiliza­tion. When utilization is mandatory, it does not need to be considered. Unlike previous studies, the model is tested using a Structural Equation Model (SEM) to provide evidence on the effectiveness of the TPC model. Data used in this study were collected from individual information technology users of the Sistem Informasi Direktorat Jenderal Pajak (SIDJP) in the regional office Daerah Istimewa Yogyakarta, Directorate General of Taxes. Data were collected using 322 questionnaires through a contact person. Of those, 252 questionnaires were fit to be used (response rate 78.26%). Data analysis was conducted using multivariate structural equation modeling by AMOS 7. The result shows that the individual characteristics of the users are associated with the task-technology fit. The TPC model test indicates that the model is robust with a goodness-of-fit index over 0.90. This research highlights the importance of the fit between technologies, users' tasks and users' characteristics in achieving individual performance impacts from information technologies. The conclusion suggests that the needs and abilities of individual users be taken into consideration whenever an information system is implemented. Another conclusion is to take the managerial level (echelon IV and above) as a respondent to better measure the task characteristics which are de­fined by non-routine tasks and interdependence tasks.

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