An Empirical Study of What Drives Users to Share Knowledge in Virtual Communities

Ye, Shu; Jin, Xiaoling

doi:10.1007/11811220_48

Cited by 27 publications

(20 citation statements)

References 30 publications

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“…This leads to con¯dence in one's capability to possess the knowledge worthy of sharing with others. The positive relationship between knowledge self-e±cacy and individual readiness to participate in a KM initiative is consistent with the¯ndings in prior studies (Kalman, 1999;Bock and Kim, 2002;Wasko and Faraj, 2005;Ye et al, 2006;Lin, 2007b).…”

Section: Discussionsupporting

confidence: 89%

“…In the knowledge-sharing context, it has been seen as one of the main determinants in forming a self-motivational force and an optimistic attitude for employees to share knowledge with colleagues (Bock and Kim, 2002;Wasko and Faraj, 2005;Ye et al, 2006). A construct used to capture this relationship has been knowledge self-e±cacy (Lin, 2007b) or knowledge sharing self-e±cacy .…”

Section: Knowledge Self-e±cacy (Independent Variable)mentioning

confidence: 99%

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Are Faculty Members Ready? Individual Factors Affecting Knowledge Management Readiness in Universities

Marouf

Agarwal

2016

J. Info. Know. Mgmt.

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Knowledge Management (KM) provides a systematic process to help in the creation, transfer and use of knowledge across the university, leading to increased productivity. While KM has been successfully used elsewhere, universities have been late in adopting it. Before a university can initiate KM, it needs to determine if it is ready for KM or not. Through a web-based survey sent to 1263 faculty members from 59 accredited Library and Information Science programs in universities across North America, this study investigated the e®ect of individual factors of trust, knowledge self-e±cacy, collegiality, openness to change and reciprocity on individual readiness to participate in a KM initiative, and the degree to which this a®ects perceived organisational readiness to adopt KM. 157 valid responses were received. Using structural equation modeling, the study found that apart from trust, all other factors positively a®ected individual readiness, which was found to a®ect organisational readiness. Findings should help universities identify opportunities and barriers before they can adopt KM. It should be a useful contribution to the KM literature, especially in the university context.

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Section: Discussionsupporting

confidence: 89%

Section: Knowledge Self-e±cacy (Independent Variable)mentioning

confidence: 99%

Are Faculty Members Ready? Individual Factors Affecting Knowledge Management Readiness in Universities

Marouf

Agarwal

2016

J. Info. Know. Mgmt.

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“…As most of respondents surveyed were computer and Internet literate, a positive and significant relationship between these constructs is obvious. Studies (e.g., Fotland, 2012;Tohidinia and Mosakhani, 2010;Ye et al, 2006) on information systems adoption have advocated the significant relationship between these constructs. We also believe that if a person has a positive perception about his or her ability to use a system by oneself, he or she would definitely develop likings or positive attitude for using the system.…”

Section: Discussionmentioning

confidence: 99%

Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT)

Rana

Dwivedi

2015

Government Information Quarterly

245

118

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By employing an extended social cognitive theory, this study examines factors (such as outcome expectation, affect, anxiety, self-efficacy and social influence) influencing intention to adopt an electronic government system called online public grievance redressal system (OPGRS) in context of India. The extended social cognitive theory (SCT) was validated using 419 responses collected from eight selected cities in India. The empirical outcomes of the proposed model indicated the significant relationships of seven hypothesised relationships between six constructs. This is the first study, which has used the SCT model to understand the adoption of an e-government system. The policy implication provided in this research can help the government to improve upon the effectiveness and quality of the system and the level of social impact on the users by employing the project champions. It also helps in enhancing their positive feelings toward adopting this system and fully utilise the potential of the OPGRS as a useful tool toward a transparent and corruption free society.

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“…In the e‐commerce environment, consumers may assess Web sites based on how easy they are to use and how effective they are in helping them accomplish their tasks (Zeithmal Parasuraman, & Malhotra, 2002). Ye, Chan & Jin (2006) found that system usability has a positive effect on an individual's knowledge contribution intention in virtual communities. Furthermore, Zviran, Glezer, and Avni (2006) found that Web sites exhibiting a higher degree of usability will be associated with greater perceived user satisfaction.…”

Section: Web‐based Information Systems (Wis) Satisfactionmentioning

confidence: 99%

The structure of Web‐based information systems satisfaction: Testing of competing models

Cheung¹,

Lee

2008

J. Am. Soc. Inf. Sci.

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User satisfaction has become one of the most important measures of the success or effectiveness of information systems (IS). In the current study, the dimensionality of Web-based information systems (WIS) satisfaction was first examined. Two composite latent variable models with factor-order structures were then empirically tested and compared to describe the relationships among observable variables concerned with WIS satisfaction. Using data from a sample of 515 university students, a third-order composite latent variable model was retained based on statistical and theoretical criteria. At the third-order level, WIS satisfaction is determined by two second-order constructs: Web information satisfaction and Web system satisfaction. Web information satisfaction is determined by understandability, reliability, and usefulness, while Web system satisfaction is determined by access, usability, and navigation. Overall, the model provides a good fit to the data and is theoretically valid, reflecting logical consistency. Implications of the current investigation for practice and research are provided. IntroductionUser satisfaction is one of the most important measures of the success or effectiveness of information systems (IS; DeLone & McLean, 1992Mahmood, Burn, Gemoets, & Jacquez, 2000;Rai, Lang, & Welker 2002;Seddon, Staples, Patnayakuni, & Bowtell, 1999;Zviran & Erlich, 2003;Zhang, Lee, Huang, Zhang, & Huang, 2005). During the proliferation of Web-based information systems (WIS), user satisfaction has emerged as particularly important evaluation criteria. Despite the rich literature that exists regarding end-user information satisfaction conducted in the traditional IS environment, very little is known about user satisfaction in the Web-based environment given the added dimensions that the Web provides. Users of traditional IS are mainly professionals in an organizational context, while typical WIS users are comprised of both professional and non-professional users in various contexts. These systems perform various functions to fulfill the needs of these two types of endusers, resulting in distinct forms of interactions between the information products generated from the systems and their consumers. Furthermore, the richness of information and the nature of unstructured and highly individually customizable interactions typically exhibited by WIS redefine the standard of user satisfaction in the Web environment. As a result, findings from prior studies on user satisfaction may not be valid in the context of WIS. There is a need to investigate the concept of user satisfaction in the Web environment.A typical research cycle for developing a standardized measurement instrument to measure a new construct involves two stages of investigation (McBrath, 1979). In the first stage, exploratory studies are performed with the aim to develop hypothesized measurement model(s) via the analysis of empirical data from a referent population. A common technique used in this stage is exploratory factor analysis. In the second stage of in...

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An Empirical Study of What Drives Users to Share Knowledge in Virtual Communities

Cited by 27 publications

References 30 publications

Are Faculty Members Ready? Individual Factors Affecting Knowledge Management Readiness in Universities

Are Faculty Members Ready? Individual Factors Affecting Knowledge Management Readiness in Universities

Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT)

The structure of Web‐based information systems satisfaction: Testing of competing models

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