Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit

By Tung-Ching Lin, Chien-chih Huang. Information Manager (The), 2008

528 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2476ea0b3c7db5f8a05981c2a7cfd83f37450619

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In Communication

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Integrating TTF and UTAUT to explain mobile banking user adoption (2010, background): “Lin and Huang (2008) found that task technology fit affects KMS usage.”
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, methodology): “Therefore, it is assumed that providing a good TTF will increase the users ’ BI to use the technology (Zhou et al. , 2010; Lin and Huang, 2008).”
The effects of network sharing on knowledge-sharing activities and job performance in enterprise social media environments (2016, background): “…exhibit a high level of self-efficacy vis- a-vis knowledge, and have strong cognitive belief in their use of knowledge, their efforts to share knowledge are also heightened, and they exhibit a tendency to achieve individual outcomes by learning shared knowledge (Lin & Huang, 2008, 2010).”
Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives (2012, background): “…systems' effectiveness (Zigurs and Buckland, 1998), the adaptation of wireless technology (Yen et al., 2010), users' adoption of mobile banking (Zhou et al., 2010), knowledge management systems (Lin and Huang, 2008), online auctions (Chang, 2010) and e-procurement systems (Chang et al., 2008).”
Consumer adoption of technological innovations: Effects of psychological and functional barriers in a lack of content versus a presence of content situation (2010, background): “Indeed, perceived technology fit through higher perceived compatibility and certainty has recently been proven to influence usage patterns positively ( Lin and Huang, 2008”