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The mediating role of task-technology fit (TTF) in the effect of knowledge sharing intention on job satisfaction and employee performance
Author(s) -
Desi Tri Kurniawati,
Pusvita Yuana
Publication year - 2021
Publication title -
international journal of research in business and social science
Language(s) - English
Resource type - Journals
ISSN - 2147-4478
DOI - 10.20525/ijrbs.v10i6.1336
Subject(s) - job satisfaction , knowledge sharing , knowledge management , context (archaeology) , task (project management) , treasury , structural equation modeling , business , productivity , service (business) , knowledge worker , psychology , marketing , computer science , social psychology , management , engineering , paleontology , history , archaeology , macroeconomics , machine learning , economics , biology , work (physics) , mechanical engineering
Public service offices are currently required to provide services effectively and efficiently. Therefore, technology plays a role in helping employees to be able to finish the job. The use of technology makes employees able to achieve high satisfaction and productivity. To be able to take advantage of existing technology, a collaboration between employees is needed through knowledge sharing. This study focuses on the context of the role of task-technology fit in mediating the relationship of knowledge sharing intention to employee satisfaction and performance. This is explanatory research was conducted through a  survey of  412 employees of the State Treasury Service Office (KPPN) in the East Java Province. The structural Equation Model (SEM) approach was used and 214 questionnaires were processed with WarpPLS. The results of this study indicate that knowledge sharing, intention affects task-technology fit (TTF) and task-technology fit (TTF) also has a significant effect on employee satisfaction and performance.

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