The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cultural influences on knowledge sharing through online communities of practice
Abstract
Purpose: The purpose of this study is to explore cultural factors influencing knowledge sharing strategies in virtual communities of practice. Design/methodology/approach: A qualitative research design was employed. Data collection was based on in‐depth interviews. The authors assumed that such factors as degree of collectivism, competitiveness, the importance of saving face, in‐group orientation, attention paid to power and hierarchy, and culture‐specific preferences for communication modes, would explain differences in knowledge seeking and sharing patterns. Findings: The results showed that these factors had different levels of importance among employees in the three participating countries. The issue of saving face was less important than expected in China. Modesty requirements as well as a high degree of competitiveness among employees were found to be serious barriers to information sharing in China, but not in Russia and Brazil. Perceived differences in power and hierarchy seemed to be less critical in all three countries than initially assumed. Research limitations/implications: Since this study was conducted among the online community members of Caterpillar Inc., the results could be affected by factors unique to this specific case. Thus, future research should investigate the influence of other factors such as the organizational culture, or occupational groups on knowledge sharing strategies. Practical implications: Before any introduction of country‐specific knowledge sharing systems, a cultural needs assessment should be conducted. Originality/value: The impact of national culture factors on knowledge sharing has been largely neglected in the literature, and the findings will assist knowledge managers charged with the design of flexible knowledge management systems.
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Cites
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Knowledge of the Firm and the Evolutionary Theory of the Multinational Corporation
Kogut, B., & Zander, U. (1993) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490248 · Cited by 3,967
Knowledge sharing in organizations: A conceptual framework
Ipe, M. (2003) · Human Resource Development Review · doi:10.1177/1534484303257985 · Cited by 1,608
Knowledge Management Processes and International Joint Ventures
Inkpen, A. C., & Dinur, A. (1998) · Organization Science · doi:10.1287/orsc.9.4.454 · Cited by 993
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Watson, D. P., Ahonen, E. Q., Shuman, V., Brown, M., Tsemberis, S., Huynh, P., Ouyang, F., & Xu, H. (2018) · Substance Abuse Treatment, Prevention, and Policy · doi:10.1186/s13011-018-0172-3 · Cited by 13
Predictors of Chinese Users’ Location Disclosure Behavior: An Empirical Study on WeChat
Chen, S., Shao, B., & Zhi, K. (2018) · Information · doi:10.3390/info9090219 · Cited by 11
Using Social Networking Sites: A Qualitative Cross-Cultural Comparison
Kalia, P., Ben Dahmane Mouelhi, N., Tebessi Hachana, S., Malek, F., & Dahmen, M. (2019) · Communications in Computer and Information Science · doi:10.1007/978-981-13-8300-7_23 · Cited by 9
Metadata
- Authors
- Ardichvili, A., Maurer, M., Li, W., Wentling, T., & Stuedemann, R.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2006-01-01
- Volume
- 10
- Issue
- 1
- Pages
- 94-107
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W2130330803
- Cited by
- 563
- References
- 5
- FWCI
- 66.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ardichvili, A., Maurer, M., Li, W., Wentling, T., & Stuedemann, R. (2006). Cultural influences on knowledge sharing through online communities of practice. Journal of Knowledge Management. https://doi.org/10.1108/13673270610650139
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