Knowledge Use and Problem-Solving Networks in an Intra- Organizational Context: Strong and Weak Ties Analysis
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Ujwary-Gil__IKM_2020_Canada_Toronto.pdf (268.49 KB)
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Date
2020
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University of Toronto
Abstract
This article concerns the assessment of knowledge use and problem-solving networks in an IT organization in connection with strong and weak ties. The primary research question is as follows: Is knowledge use network associated with strong or weak problem-solving network relationships? The study was conducted in an IT company in 2017 with a population of 45 employees (there were 1980 observations per network and 5940 observations across all networks). An interview and questionnaire were used to identify the relationship matrices. In total, three matrices (variables) were determined. Also, methods of network statistics were used: quadratic assignment procedure (QAP) and multiple regression quadratic assignment procedure (MRQAP). The results show a low correlation (statistically significant) between knowledge use network and problem-solving strong and weak ties networks. Also, the regression model shows that the knowledge use network is influenced by strong and weak ties of problem-solving networks. The article refers to many limitations indicating the need for further, in-depth studies. The results may be useful for IT company managers, especially in the context of strengthening networks of relationships that have the most significant impact on the use of knowledge in a company.
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Ujwary-Gil, A. (2020). Knowledge use and problem-solving networks in an intraorganizational context: strong and weak ties analysis. In A. Wensley & M. Evans (Eds.), Proceedings of the 17th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning (pp. 372-379). Toronto: The University of Toronto.