An Analysis of the Canonical Relation between Knowledge Sharingand Organizational Learning (Case Study: the Schools at District II of Hamadan)

Document Type : Case study

Authors

1 associate professor at the Department of Educational Sciences, Faculty of Literature and Humanities, University of Buali Sina, Hamadan, Iran.

2 Assistant pprofessor at the Department of Educational Sciences, Faculty of Literature and Humanities, University of Buali Sina, Hamadan, Iran.

3 PhD candidate of educational management at the Department of Educational Sciences, Faculty of Literature and Humanities, University of Buali Sina, Hamadan, Iran

Abstract

This study is intended to investigate the canonical relation between knowledge sharing and organizational learning among the teachers of district II of Hamadan. From the population, a number of 274 people were selected as the sample through a simple random sampling method. The research is quantitative, descriptive and correlational whose tools are composed of Knowledge Sharing Questionnaire of Vanden Hoff and Vanuenen (2004), and Nifeh’s organizational learning (2001). Confirmatory factor analysis and Cronbach's alpha were employed to test the validity and reliability of the data collection tools. The reliability coefficients of knowledge sharing and organizational learning questionnaires were 0.990 and 0.927 respectively. Given the results of confirmatory factor analysis, the research tools turned out to be appropriate and acceptable. Canonical correlation and multivariate linear regression were used for data analysis by SPSS25 software. The results indicated that the canonical load values ​​of organizational learning dimensions ranged from -0.396 to -0.876. Organizational learning dimensions were able to explain 41.5% of the variance of organizational learning variables. The canonical load values ​​of knowledge sharing dimensions ranged from -0.339 to -0.899. Dimensions of knowledge sharing were able to explain 46.2% of the variance of knowledge sharing variable. Organizational learning dimensions were able to explain 7.7% of variance of knowledge sharing variable, and knowledge sharing dimensions were able to explain 6.9% of variance of organizational learning variable. Furthermore, given the significant effect values, it can be proposed that only the dimension of knowledge contribution has positive and significant effect (0.353) on organizational learning variable at 0.01 level. The dimension of Knowledge restoring turned out to have no significant regression effect on organizational learning.

Keywords

Main Subjects


Chen, Z.; Deng, S.; Mamtimin, A.; Chang, J.; Liu, F. and Ma, L. (2017). Exploring factors influencing knowledge sharing of international students at Chinese university. International Conference on Cross-Cultural Design (pp. 521-530). Springer, Cham.
Gomes, G., & Wojahn, R. M. (2016). Organizational learning capability, innovation and performance: study in small and medium-sized enterprises (SMES). Revista de Administração.
Hau, Y. S., Kim, B., Lee, H., & Kim, Y. G. (2013). The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions. International Journal of Information Management, 33(2), 356-366.
Jen Chen, C. Wen Huang, J. & Chang Hsiao, Y. (2010). Knowledge management an Innovativness the role of organizational climate an structur, International Journal of Manpower, 31 (8). Pp. 848-870.
Lee H, Chio B. )2003(. Knowledge Management Enablers, Processes and Organizational Knowledge: an integrative view and empirical investigation. Journal of Management Information System, 20(1): 179-228.
Malik, M. S, Kanwel, M. (2018). Impacts of organizational knowledge sharing practices on employees’ job satisfaction: Mediating roles of learning commitment and interpersonal adaptability", Journal of Workplace Learning, 30(1), 2-17.
Neefe, Diane Osterhaus (2001). Comparing Levels of Organizational Learning Maturity of Colleges And Universities Participation Traditional & Non-ttaditional (Academic Qulity Improvement Project) Accrdition Processes [online] URL     http://www.uwstout.edu/lib /thesis/2001/2001neefed.pdf
Ngah, R., Tai, T., & Bontis, N. (2016). Knowledge Management Capabilities and Organizational Performance in Roads and Transport Authority of Dubai: The mediating role of Learning Organization. Knowledge and Process Management, 23(3), 184-193.
Navimipour, N. J., & Soltani, Z. (2016). The impact of cost, technology acceptance and employees’ satisfaction on the effectiveness of the electronic customer relationship management systems. Computers in Human Behavior, 55, 1052e1066.
Park, J, & Gabbard, J. L. (2018). Factors that affect scientists' knowledge sharing behavior in health and life science research communities: Differences between explicit and implicit knowledge. Computers in Human Behavior, 78, 326–335.
Reychav, Iris, Weisberg, Jacob, (2010),"Briding intention and behavior of Knowledge Sharing", Journal of Knowledge Management, vol.14 No.2, pp.285-300
Sherehiy, B. (2008). Relationships between agility strategy, work organization and workforce agility ., Ph.D Thesis, University of Louisville.
Tam, S. and Gray, D.E., (2016). Organisational learning and the organisational life cycle: the differential aspects of an integrated relationship in SMEs. European Journal of Training and Development, 40(1), pp. 2-20.
Tingting Zheng (2017). A Literature Review on Knowledge Sharing. Open Journal of Social Sciences, 5, 51-58. ISSN Online: 2327-5960.
van Breda-Verduijn, H., & Heijboer, M. (2016). Learning culture, continuous learning, organizational learning anthropologist. Industrial and Commercial Training, 48(3), 123- 128.
Wang, Z., and Wang, N. (2012). Knowledge sharing, innovation and firm performance. Journal homepage Expert Systems with Applications, 39, 8899-8908.
Yang, H.L., and Wu, T.C.T. (2008). Knowledge Sharing in an Organization. Technological Forecasting and Social Change, 75(8), 1128-1156
Zareie, B., & Navimipour, N. J. (2016). The impact of electronic environmental knowledge on the environmental behaviors of people. Computers in Human  Behavior, 59, 1e8.
Zhang, X., De Pablos, P. O., & Zhou, Z. (2013). Effect of knowledge sharing visibility on incentive based relationship in Electronic Knowledge Management Systems: an empirical investigation. Computers in Human Behavior, 29(2), 307e313.