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

Lin, Tung‐Ching; Huang, Chien-Chih

doi:10.1016/j.im.2008.06.004

Cited by 393 publications

(258 citation statements)

References 66 publications

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“…Two items for the AU were also adapted (Venkatesh et al, 2003(Venkatesh et al, , 2012. In addition, TTF was measured using five items and the scale was adapted from the work of Zhou et al (2010) and Lin and Huang (2008). Finally, five items were adapted from Yu (2012), Daniel and Jonathan (2013) and Amin (2009) were used to measure the PC.…”

Section: Use Of Internet Banking In Lebanonmentioning

confidence: 99%

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Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

Tarhini

El-Masri

Ali

et al. 2016

ITP

318

236

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Design/methodology/approach -A conceptual framework was developed through extending the unified theory of acceptance and use of technology (UTAUT) by incorporating two additional factors namely; perceived credibility (PC) and task-technology fit (TTF). A quantitative approach based on cross-sectional survey was used to collect data from 408 IB consumers. Data were analysed using structural equation modelling based on AMOS 20.0. Findings -The results of the structural path revealed that performance expectancy (PE), social influence, PC and TTF to be significant predictors in influencing customers' behavioural intention (BI) to use IB and explained 61 per cent of its variance, with PE was found the strongest antecedent of BI. Contrary to the UTAUT, the effect of effort expectancy on BI was insignificant. In addition, both BI and facilitating conditions were found to affect the actual usage behaviour and explained 64 per cent of its variance Practical implications -This study would be helpful for bank managers and policy makers to explain the currently relatively low penetration rate of IB in formulating strategies to encourage the adoption and acceptance of IB by Lebanese customers, where IB is still considered an innovation. Originality/value -This study is the first research that extend the UTAUT by incorporating two additional factors namely; PC and TTF to study the IB in the Lebanese context. This study contributes to the research on computer technology usage by looking at IB adoption and incorporation into the lives of customers via the BI to use and actual usage of IB in Lebanon.

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Section: Use Of Internet Banking In Lebanonmentioning

confidence: 99%

“…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). This research assumes that this construct will be important in the Lebanese context.…”

mentioning

confidence: 99%

Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

Tarhini

El-Masri

Ali

et al. 2016

ITP

318

236

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“…4 basing research models on theories of trust, social capital, reward expectation, task-technology fit, or information system success [6][7][8][9]. However, very few studies have approached the topic from an effortwithholding perspective to explain why people do not contribute their knowledge.…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

“…TI refers to the degree to which individuals perceive that they interact with and depend upon others to accomplish their work [8]. Empirical evidence has shown mixed findings on the influence of TI on effort withholding.…”

Section: Task Features and Knowledge Withholding Intentionmentioning

confidence: 99%

Knowledge withholding intentions in teams: The roles of normative conformity, affective bonding, rational choice and social cognition

Tsay

Lin

Yoon

et al. 2014

Decision Support Systems

Self Cite

102

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The decision of members in a knowledge-intensive team to withhold their knowledge may threaten the performance of the team. To address the problem of knowledge resource risk in project teams, we maintain that it is important to understand why team members choose to withhold their knowledge, conceptualized as knowledge-withholding intention. In line with the literature on effort withholding, the research on multifoci relations between justice perceptions and social exchanges, and social cognitive theory, we proposed that the social exchange relationships that individuals form in the workplace, their perceptions of justice, and their knowledge withholding self-efficacy would influence their knowledgewithholding intentions. Through a survey of 227 information system development team workers, we found that all social exchange relationship variables had a significant impact on knowledge-withholding intentions. However, the justice perception variables only indirectly influenced knowledge-withholding intentions through the mediation of social exchange relationships. In addition, one of the task variables, task interdependence, influenced knowledge withholding intention through the mediation of knowledge withholding self-efficacy. Our results contribute to the knowledge management literature by providing a better understanding of the antecedents of knowledge withholding. We also offer suggestions for future research utilizing the framework of Kidwell and Bennett (1993) to study effort and knowledge withholding.Keywords: Knowledge-withholding intentions, information system development team, organizational justice, social cognitive theory, social exchange theory Abbreviations: AVE, average variance extracted; CFI, comparative fit index; DJ, distributive justice; IJ, interactional justice; ISD, information system development; KWI, knowledge-withholding intentions; KWSE, knowledge withholding self-efficacy; LMX, leader-member exchange; MIS, management information systems; PJ, procedural justice; POS, perceived organizational support; RMSEA, root mean square error of approximation; SCT, social cognitive theory; SEM, structural equation modeling; SET, A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 3 social exchange theory; SRMR, standardized root mean square residual; TI, task interdependence; TV, task visibility; TMX, team-member exchange.

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“…However, in various comparisons, the TCO for FOSS could still be lower in cost than that for Proprietary Software. Lin and Haung [21] implied that for FOSS to survive in an institution, cost advantage is not enough and that low cost remains the main driver and primary motives for the access to FOSS adoption. And this brings about other benefits of FOSS [13].…”

Section: Problem Statement and Research Questionsmentioning

confidence: 99%

Use of Free and Open Source Software for Competitive Advantage in South African Higher Institutions of Learning

2016

Annual International Conference on Intelligent Computing, Computer Science and Information Systems (ICCSIS-16) April 28-29, 201

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

Cited by 393 publications

References 66 publications

Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon

Knowledge withholding intentions in teams: The roles of normative conformity, affective bonding, rational choice and social cognition

Use of Free and Open Source Software for Competitive Advantage in South African Higher Institutions of Learning

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