Role of knowledge conversion and social networks in team performance

The role of creation mode and social networking mode in knowledge creation performance: Mediation effect of creation process

“…Various industries (Finland) [16] Knowledge creation process, knowledge sharing A case of IT and multimedia business (Japan) [21] Knowledge sharing Mobile service (Nokia Group (Finland) [26] Knowledge sharing A case of food manufacturing company (Italy) [28] Social network -Networking Telecommunication projects (Multiple nations) [5] Social network Research institutes in Biomedicine (N/A) [30] Social structure Space industry (Multiple nations) [22] Communication, virtuality Electronic products (The Netherlands) [23] Goal role of the creation process presented by the SECI is also explored. It should be noted that the current research did not consider the patent variable, although some of the reviewed literature used it to describe the CP in the context of Taiwan (Table 1) [46,48,49].…”

“…Knowledge is usually generated through various types of individual social interactions [8,16,21,30,39,42,43]. For example, Fuller et al [8] integrated the customer conceptions to develop medical equipment using social software (e.g., networked virtual environments).…”

“…Moreover, the effect of the SNM that hub or web topology represents is indicated in H2 in the current research. However, the SECI process may affect its effect on creation merits, whereas a particular mode influences the creation outcomes [16]. For example, a hub topology presents a social networking environment in which the core member handles most tasks related to guidance, information transition, combination, and integration to derive final creation outputs.…”

“…Therefore, a creation group is gradually regarded as the atomic union for decoding, deposition, retrieval, and knowledge creation, which can speed up creation tasks. However, the mode that members use to interact within a network may significantly influence creation outcomes [12,15,16]. For example, a network with strong centralization reflects that a group's thinking behavior is based on coaching and learning.…”

Team characteristics, peer competition threats and individual performance within a working team: An analysis of realtor agents

“…This result was also found by Lazear (1998) and Karau and Wlliams (1993). Janhonen and Johanson (2011) Raudenbush and Bryk (2002) note that previous analyses of multilevel data are vulnerable to problems such as aggregation bias, misestimated standard errors and heterogeneity of regression errors, since an individual agent is not a single object, but is rather an object belonging to a branch and a company organization. Individual agents in the same branch (or organization) share the branch's characteristics; that is, agents share characteristics with each other.…”