Typology of knowledge-sharing intentions in multinational companies: Cross-national comparative research with latent class analysis

My 2018 Penn State dissertation: latent class analysis finds five types of knowledge-sharing intention, with dominant types differing by country.
Publication
Dissertation
Knowledge Sharing
Published

August 1, 2018

Keywords

knowledge sharing, latent class analysis, multinational companies, cross-national comparison, work engagement

Summary

My doctoral dissertation at The Pennsylvania State University (dual-title Ph.D. in Workforce Education and Development and Comparative International Education, August 2018) asks whether employees of multinational companies fall into distinct types in their intention to share knowledge, and whether the dominant type differs by country. Earlier work mostly treated knowledge sharing variable by variable; I classified people by their response patterns instead.

I used public-use data from the Generation of Talent Study, a cross-national survey of employees of multinational companies collected in 2010, and kept 1,674 full-time knowledge workers with complete responses. Latent class analysis grouped respondents on knowledge-sharing intention and related psychological factors such as commitment and work engagement.

Five classes emerged: bystanders; engagement- and commitment-oriented knowledge sharers; an ordinary group; relationship-oriented knowledge sharers; and ideal knowledge sharers. Dominant classes differed across countries. Bystanders were dominant in the Mexico sample, engagement- and commitment-oriented sharers in the India, China, and United States samples, and ideal knowledge sharers in the Netherlands and Japan samples. The results suggest that providing resources and systems is not enough unless organizations recognize the social, cultural, and psychological dimensions of knowledge sharing.

Citation

Chae, C. (2018). Typology of knowledge-sharing intentions in multinational companies: Cross-national comparative research with latent class analysis [Doctoral dissertation, The Pennsylvania State University].

Citation

BibTeX citation:
@online{2018,
  author = {},
  title = {Typology of Knowledge-Sharing Intentions in Multinational
    Companies: {Cross-national} Comparative Research with Latent Class
    Analysis},
  date = {2018-08-01},
  url = {https://chadchae.github.io/posts_publication/2018-08-01-typology-knowledge-sharing-intentions-dissertation/typology-knowledge-sharing-intentions-dissertation.html},
  langid = {en}
}
For attribution, please cite this work as:
“Typology of Knowledge-Sharing Intentions in Multinational Companies: Cross-National Comparative Research with Latent Class Analysis.” 2018. August 1, 2018. https://chadchae.github.io/posts_publication/2018-08-01-typology-knowledge-sharing-intentions-dissertation/typology-knowledge-sharing-intentions-dissertation.html.