Exploring the determinants of knowledge sharing via employee weblogs

What drives consumer knowledge sharing in online travel communities?: Personal attributes or e-service factors?

“…In the context of e-service, there is little or no inter-personal interaction, and all the service encounters are information technology mediated (Curran & Meuter, 2005;Meuter, Ostrom, Roundtree, & Bitner, 2000), hence customer evaluation of the information technology's performance should be the main motivation to review generation in online communities. The two key constructs of perceived ease of use and perceived usefulness in the Technology Acceptance Model or TAM (Davis, 1989) are used to examine e-service experience (Ahn, Ryu, & Han, 2007;Ku, 2014;Li & Liu, 2014;Papadopoulos et al, 2013). Ahn et al (2007) examine customer e-retailing service experience by incorporating perceived ease of use and usefulness in their research model.…”

“…Heo & Toomey, 2016;Jadin, Gnambs, & Batinic, 2013;Lai & Chen, 2014;Wei, Lin, Chen, An, & Yeh, 2015). Prior studies have focused on constructs associated with social capital theory (Chumg, Cooke, Fry, & Hung, 2015;Wasko & Faraj, 2005), social cognitive theory (Fang & Chiu, 2010), resource exchange theory (Chan & Li, 2010), uses and gratification theory (Chen, Yang, & Tang, 2013), and organizational citizenship behaviors (Chiu, Hsu, & Wang, 2006) and self-efficacy (Jin, Zhou, Lee, & Cheung, 2013;Papadopoulos, Stamati, & Nopparuch, 2013). In the travel service sector, Li and Liu (2014) have recently revealed that travelers' perceived usefulness of e-service has a positive effect on word-of-mouth knowledge sharing.…”

Making sense of food risk information : the case of organic food

“…The expected consequences of sharing information were divided into three major categories: physical effects, social effects and self-evaluation effects (Bandura, 1997;Hsu, Ju, Yen, & Chang, 2007). Most research showed personal outcome expectancies to predict online information sharing directly (He & Wei, 2009;Hsu & Lin, 2008;Hsu et al, 2007;Lin et al, 2013;Roberts, Hann, & Slaughter, 2006), while the results of some studies pointed to indirect effects via attitude towards sharing (Bock & Kim, 2002;Papadopoulos, Stamati, & Nopparuch, 2013). Attitude towards sharing can be viewed as the result of the outcome expectancies, i.e.…”

“…Attitude towards sharing can be viewed as the result of the outcome expectancies, i.e. after evaluating the expected outcomes the consumer has formed an opinion about the usefulness of information sharing, and has been found to predict information sharing (Bock & Kim, 2002;Hsu & Lin, 2008;Lin et al, 2013;Papadopoulos et al, 2013). Self-efficacy is another possible determinants.…”

“…In relation to online information sharing, self-efficacy can be understood in terms of the perceived capability to share knowledge by using the Internet. Based on research by Hsu et al (2007), Kankanhalli et al (2005), and Papadopoulos et al (2013) who all found that self-efficacy beliefs predicted knowledge sharing in virtual communities, a positive relationship between self-efficacy and information sharing is hypothesized (Bock & Kim, 2002).…”