Motivated to Share Your Knowledge? Development of a scale to measure knowledge sharing motives of public employees
Caroline Fischer
No r5xba, OSF Preprints from Center for Open Science
Abstract:
This paper examines the construct of knowledge sharing motivation (KSM) and develops a scale to measure knowledge sharing motives. Following the Rubicon model (Heckhausen 1989) the author suggests that KSM and knowledge sharing behaviour (KSB) are different stages in the process of human behavior which alternate and affect each other but are by no means identical. Hence, knowledge sharing motivation cannot be measured by knowledge sharing behavior, which is done in the literature up to now. According to theories of human needs and motives, several dimensions of knowledge sharing motivation are suggested. Furthermore, qualitative data and peer review were used to generate items. The constructed scale of KSM is tested with survey data of 355 German public employees from 2017. An exploratory factor analysis indicates a clear separation of knowledge sharing motivation and behavior. The analysis indicates three dimensions of KSM, namely appreciation, growth and altruism, and extrinsic rewards. A confirmatory factor analysis using structural equation modeling confirms the results. The developed construct of KSM shows an acceptable model fit. Hence, the scale can be used as a basis for further research on knowledge sharing. Practitioners might use the developed scale to assess knowledge sharing motivation of employees in their organization as a basis for the design of management practices that foster knowledge sharing.
Date: 2018-09-24
New Economics Papers: this item is included in nep-cse and nep-knm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://osf.io/download/5ba8a63e9108ce0016f5a273/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:r5xba
DOI: 10.31219/osf.io/r5xba
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().