Networks, Social Capital, and Knowledge Production

Jansen, Dorothea

doi:10.1007/978-3-319-50386-8_2

Cited by 11 publications

(8 citation statements)

References 97 publications

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“…It is embedded in routines and experiences and may be articulated through symbols and images (Malecki, 2010) and therefore knowledge spillovers can occur during shared socialisation phases. Transmitting tacit knowledge hence requires at least a temporal form of co-presence, shared related activities such as cooperatively solving a problem (Nonaka and Takeuchi, 1995;Jansen, 2004) or other forms of proximity (Boschma, 2005). However, tacit knowledge spillovers may still take place across spatial distances through employee mobility and rather informal personal relationships (Andersson and Karlsson, 2004: 286).…”

Section: From Spillover Channels To Spillover Mechanismsmentioning

confidence: 97%

Balancing the spatial localisation ‘Tilt’: Knowledge spillovers in processes of knowledge-intensive services

Schmidt

2015

Geoforum

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Section: From Spillover Channels To Spillover Mechanismsmentioning

confidence: 97%

Balancing the spatial localisation ‘Tilt’: Knowledge spillovers in processes of knowledge-intensive services

Schmidt

2015

Geoforum

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“…This statement is based on the work that shows that being in contact with organizations that develop different creative styles is a crucial element in the creation of innovations (Uzzi & Spiro, 2005). These The literature focused on the analysis of inter-organizational networks indicates that organizations tend to be part of these types of structures and select their contacts within them based on criteria related to reducing transaction costs or improving their situation with respect to direct competitors (Uzzi, 1997;Ma et al, 2009;Jansen, 2017). However, this research shows that there are other types of determinants and organizational backgrounds that influence the positioning of organizations in the sector.…”

Section: Discussionmentioning

confidence: 99%

“…We found different paradigms that explain the formation of inter-organizational networks. Some of these paradigms highlight the importance of factors such as: (a) the acquisition of competitive advantages (Gulati, 1995;Jansen, 2017); (b) the reduction of uncertainty in changing contexts (Ma, Yao, & Xi, 2009); and (c) the transfer of information (Valente, 1995). Studies conducted by Provan, Huang, and Milward (2009) show that factors related to the reputation, integrity, and perceived influence of organizations positively affect the level of centrality within the sector.…”

Section: Introductionmentioning

confidence: 99%

Determinantes De La Formación De Redes Interorganizativas en El Sector Cultural

Ramos-Vidal

2018

Rev. adm. empres.

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RESUMEN En los últimos años se han incrementado las investigaciones que aplican el Análisis de Redes Sociales (ARS) para estudiar la formación de redes interorganizativas. Para determinar estos factores hemos analizado la red sociocéntrica de 32 organizaciones culturales en Andalucía. El procedimiento de asignación cuadrática de regresión múltiple a nivel diádico muestra que la percepción de afinidad (i.e., homofilia) y la posibilidad de establecer contactos en el futuro influyen en el establecimiento de contactos informales. A nivel interno, factores como el volumen de actividad y la antigüedad de la organización en el sector se relacionan con el grado de intermediación de las entidades en la red de colaboración en proyectos. Finalmente discutimos los resultados para optimizar el funcionamiento de redes interorganizativas y fortalecer la implementación de políticas públicas.

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“…In fact, scholars (e.g. Jansen, 2017;Wasko and Faraj, 2005) pointed out that an individual's structural position in an electronic network of practice will influence his or her willingness to contribute knowledge to others. Given the social characteristic of virtual learning communities, this study will incorporate a network perspective and the traditional framework to look into the knowledge-sharing phenomenon in online communities.…”

Section: Introductionmentioning

confidence: 99%

Understanding knowledge sharing in virtual communities: a network perspective

Deng

Guo

2018

LHT

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Purpose As more and more people are beginning to take virtual communities (VC) as effective communication channels and the main places to get information and knowledge, understanding the factors that can support or hinder one’s knowledge sharing seems important for the management of VCs. The purpose of this paper is to explore the antecedents that influence people’s knowledge sharing in VCs, and to explore influence mechanism and the boundary condition of how the antecedent affect people’s knowledge sharing in VCs. Design/methodology/approach The authors conducted empirical research to test our hypotheses. The authors designed a questionnaire based on previous research and collected the questionnaires from seven VCs in China, including two specific topic-based forums in Baidu Tieba which is the largest Chinese online communication platform, three in traditional university bulletin board system (BBS) forums and another two based on instant messaging service. The final sample the authors got included 96 individuals. Then the authors used the hierarchical linear modeling (HLM) technique to analysis the data. Findings The results suggest that community member’s attachment can be a strong indicator of his/her knowledge-sharing intention which will possibly lead to knowledge-sharing behavior. However, this effect can be contingent on individual centrality and community member fluctuations. In a stable community, those who are in the peripheral position are more likely to transfer their attachment into knowledge sharing because they have the intention to move into central positions and knowledge sharing can help them gain status. While in an unstable environment, it does not make any difference between people in different position in the social network. Originality/value First, this paper reveals member’s attachment as the antecedent of people’s knowledge sharing in VCs. Second, this paper adopts a network perspective to construct the research model. And the basic point made is that knowledge sharing can be seen as a channel to attain status and centrality in a community. Thus, people who are in periphery positions are more likely to transfer their community attachment into knowledge-sharing intention. Third, this paper emphasizes the dynamic characteristic of members in VCs and proves the moderation effect of community member fluctuations.

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Networks, Social Capital, and Knowledge Production

Cited by 11 publications

References 97 publications

Balancing the spatial localisation ‘Tilt’: Knowledge spillovers in processes of knowledge-intensive services

Balancing the spatial localisation ‘Tilt’: Knowledge spillovers in processes of knowledge-intensive services

Determinantes De La Formación De Redes Interorganizativas en El Sector Cultural

Understanding knowledge sharing in virtual communities: a network perspective

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