A study on effects of knowledge management on organizational entrepreneurship : A case study of educational system

Article history: Received March 25, 2012 Received in revised format 25 September 2012 Accepted 8 October 2012 Available online October 14 2012 Knowledge management plays an important role in business development especially in educational system. The proposed study designs and distributes a questionnaire among experts who are involved in education systems in province of Tehran, Iran. The population of this survey includes 1680 people who are enrolled in administration levels of this province and using a simple sapling technique is calculated as 313. The questionnaire consists of 30 questions in Likert scale and there are six categories for the proposed study of this paper including the concept of knowledge, management, knowledge tools, knowledge measurement, change management, knowledge content. We have used LISREL software package to find the relationship between entrepreneurship and knowledge management components. Based on the results of this survey, knowledge content is number one priority followed by knowledge tools and concept of knowledge. The other factors including management, knowledge measurement and change management are in lower levels of importance. © 2012 Growing Science Ltd. All rights reserved.


Introduction
Knowledge management (KM) plays an important role on business development and there are literally many works associated with investigation on the relevant importance of KM in organizations (Stoner et al., 1995;Perez, 1999;Scarbrough & Swan, 2001;Monavvarian& Kasaei, 2007).Darroch (2005) performed an empirical investigation on KM implementation for a real-world case study and concluded that a firm with a KM capability will use resources more efficiently and so will be more innovative and perform better.Du plessis (2005) tried to understand what drives KM in today's business environment by considering characteristics of the inherent objective of KM and by analyzing the necessity for fulfillment of these objectives to provide some solutions as to why KM is considered as a significant value contributor in today's business world.Some of the drivers of KM include geographically dispersed work environments, the need for quick and efficient decision-making the increased volume of knowledge available to organizations, the advent of new technologies including the Internet, and knowledge attrition.Hurley (1999) explained that feminist critiques could provide new insights into organizational theories by investigating the historical context in which these theories are combined.Hurley implemented a feminist critique to sociological theories of entrepreneurship.She explained the sociological theories focusing on the impacts of political factors, state policies, culture, spatial location, and professionalization on entrepreneurship (Lober, 1998;Landstrom, 2005).Mcfadyen and Canneila (2004) analyzed the relationship between knowledge creation and social capital at an individual level.They reported that interpersonal relationship has important impact on knowledge creation.Antony and Bhattacharyya (2010) proposed a conceptual model for measuring organizational performance and organizational excellence, which could be implemented by small and medium enterprises.They recommended various excellences and equations for calculating overall organizational performance and overall organizational excellence.Lustri et al. (2007) investigated KM conceptual model for competency development and a considering a real-world case study from law service firm.They reported that within a certain amount of time, participants in their survey who received some KM lessons could improve their skills.Antoncic and Prodan (2008) presented a firm performance model, which concentrated on corporate technological entrepreneurship (CTE) via alliances and networks.They recommended that firms should involve in strategic alliances to develop corporate technological entrepreneurship activities and gain performance improvements to build better infrastructure for their business units.Ray (2008) performed another investigation to determine the requirement for KM in a business driving information technology.Raub and von wittich (2004) determined three strategies for effective CKOs and reported that successful implementation of MK needs aligning the contributions of key organizational actors, promoting the development of knowledge networks and providing support by delivering a purposeful message.Rutherford and Holt (2007) Used a sample of 264 employees of a mid-sized organization and conceptualized three antecedent categories of CE: including process, context, and individual characteristics.They also examined the mediating effect of CE on desirable individual outcomes including job satisfaction, turnover intent, and affective commitment.Their results indicated that the model did a sufficient job of explaining CE, and that CE mediated the relationship between their antecedents and individual outcomes.According to Petrakis (2005), entrepreneurial behavior to exploit the resources within a firm is a tool to maintain competitive advantage and improve financial performance.He performed an investigation to determine the determinants of such entrepreneurial behavior, which exist in Indian firms.He verified that firms with entrepreneurial behavior had a distinct improved financial performance.Snyman and Kruger (2004) tried to supply strategic thinkers with a holistic "bird's eye view" of the interdependency between strategic management and strategic MK.They developed a generic model incorporating KM strategy formulation within business strategy formulation has been developed.
The organization of this paper first presents the proposed study and hypotheses in section 2. Section 3 explains the results of the implementation of structural equation modeling and finally, concluding remarks are given in the last to summarize the contribution of this paper.

The proposed study
The proposed study designs and distributes a questionnaire among experts in this field.The population of this survey includes 1680 people who are enrolled in administration levels of province of Tehran, Iran and the proposed study of this paper used the following formula to calculate the minimum number of sample size, where N is the population size, and N=1680, the number of sample size is calculated as n=313.The questionnaire consists of 30 questions in Likert scale in terms of very much (5) to very low (1).There are six categories for the proposed study of this paper including the concept of knowledge, management, knowledge tools, knowledge measurement, change management, knowledge content.Table 1 shows means and standard deviations of the data.

Table 1
Mean and standard deviation As we can observe from the results of Table 2, Chi-square/df is equal to 1.6, which is well below a critical value of 3 and it shows the model maintains a good fitness.RMSEA is also equal to 0.044 and it must be less than a critical value of 0.08, GFI is equal to 0.98 and it is well above the minimum desirable level of 0.9, finally, AGFI is equal to 0.96, which is acceptable.The results of t-values are well above the critical value of 1.96 when the level of significance is five percent.Therefore, we can conclude that the results represent the effects of entrepreneurship power on six items.Table 3 summarizes the results of our survey along with the ranking of different items.As we can observe from the results of Table 3, knowledge content is number one priority followed by knowledge tools and concept of knowledge.The other factors including management, knowledge measurement and change management are in lower levels of importance.

Conclusion
In this paper, we have presented an empirical study to find the relationship between entrepreneurship and other knowledge management components.We have used LISREL software package to find the relationship between entrepreneurship and knowledge management components.Based on the results of this survey, knowledge content is number one priority followed by knowledge tools and concept of knowledge.The other factors including management, knowledge measurement and change management are in lower levels of importance.
= 14.48, df=9, P-Value = 0.10618, RMSEA = 0.044 Fig. 1.The results of factor analysis in non-standard form As we can observe from the results of Fig. 1, the data seem to fit well with what we expect in realworld.Now, we can make estimations for standard model.Fig. 2 shows details of our findings.= 14.48, df=9, P-Value = 0.10618, RMSEA = 0.044 Fig. 2. The results of factor analysis in standard form Finally, we need to consider t-student values to verify the whole model.Fig. 3 presents details of our findings for t-student values.= 14.48, df=9, P-Value = 0.10618, RMSEA = 0.044 Fig. 3.The results of t-values for factor analysis in standard form Before we perform factor analysis, we need to validate the data using KMO Bartlet test.The implementation of this test yields a KMO value of 0.946 with Chi-Square value of 18964.67 with 3741 degree of freedom and P-value of 0.000.The results indicate that the correlation matrix among different components is not unique and there is a strong correlation from one side and no correlation from the other side.The implementation of factor analysis is summarized in Table2as follows,