However, the research results indicate that the technological infrastructure has no significant influence on the implementation of Knowledge Management. It is hoped that this research forms the basis for future research into organizational factors that enable the implementation of knowledge management.
INTRODUCTION
- Research Background
- Problem Statement
- Research Objectives
- General Objective
- Specific Objectives
- Research Questions
- Hypotheses of the Study
- Significance of the Study
- Chapter Layout
- Conclusion
In general, this research strives to identify and investigate the organizational factors that support the implementation of knowledge management in the franchise preschool educational institution. Understanding the organizational factors critical to implementing knowledge management can produce a skilled future leader of the country.
LITERATURE REVIEW
Review of the Literature
- Knowledge
- Knowledge Management
- Leadership
- Knowledge Processes
- Knowledge Creation
- Knowledge Storing
- Knowledge Sharing/ Transfer
- Knowledge Application
- Technology Infrastructure
- Culture and Organizational Structure …
- Human Capital
- Franchised Preschool Educational Institution
Based on the above framework, knowledge management consists of four sets of knowledge processes which include (1) creation, (2) storage and (3) sharing and (4) application of knowledge (Holzner and Marx, 1979; Pentland, 1995; Alavi & Leidner, 2001; Martensson, 2002). Knowledge sharing is one of the critical elements of knowledge management and is particularly important for the successful utilization of knowledge resources.
Review of Relevant Theoretical Models
- Article 1
- Article 2
- Article 3
Further, it strives for a balance between soft and hard components when analyzing factors for implementing knowledge management. Researchers, Wong (2005) had compared and reviewed the existing critical success factors (CSF) for the implementation of knowledge management proposed by different authors in the literature.
Proposed Theoretical/ Conceptual Framework
Hypotheses Development
- Leadership
- Knowledge Processes
- Technology Infrastructure
- Culture and Organizational Structure
- Human Capital
Technological infrastructure is one of the main enablers in implementing knowledge management in an organization (Wong, 2003). H0: There is no significant relationship between culture and knowledge management structure and implementation.
Conclusion
In the previous chapter, the literature review has identified previous research and theory that has been found to have an impact on the implementation of knowledge management. The chapter culminated with the development of the theoretical framework and hypotheses to be analyzed. This chapter begins with the research methods chosen for analysis, at the moment how the questionnaire was developed, how the sample was selected, how the data was collected and what are the analysis techniques that will be used for the data obtained from the questionnaire.
These sections are research design, data collection method, sampling design, research instrument, measures of constructs, data processing process, explanation of statistical procedures used to analyze the data, and finally there is a summary.
Research Design
Data Collection Method
Sampling Design
- Target Population
- Sampling Frame and Sampling Location
- Sampling Elements
- Sampling Technique
- Sampling Size
All business partners of 3Q MRC JUNIOR are available for survey, so all business associates can be categorized as sample elements. Probability sampling was used because elements in the population have a known chance of being selected as subjects in the sample (Sekaran et al., 2010). In addition, simple random sampling has selected under a type of probability sampling method because each element in the population has a known and equal chance of being selected as a subject (Sekaran, 2003).
Sampling is done without replacement, meaning that we deliberately avoid selecting any member of the population more than once. Each element in the population is randomly selected from the list of business partners without replacement. 2010) states that sample size is influenced by six factors which include i) the research objective, ii) the desired level of precision, iii) the acceptable risk in predicting that level of precision, iv) the amount of variability in the population itself, v) cost and time constraints, and vi) population size itself.
Research Instrument
- Questionnaire Design
- Pretesting Questionnaire
It is important to pre-test the questionnaire to ensure that respondents understand the questions and that there are no problems with wording or measurement (Zikmund et al., 2010). The purpose of the pretest is to examine the reliability of the questionnaire by using Cronbach's alpha. The alpha obtained from this reliability test shows the reliability of the items in the questionnaire.
Culture and organizational structure scored the highest value of Cronbach's Alpha, which is 0.783, indicating good reliability. The dependent variable, implementation of knowledge management, obtained the lowest value of Cronbach's Alpha, which is 0.657.
Constructs Measurement
- Origin of Constructs
- Modified Operational Definition of
- Scale Measurement
Anderson (2001) developed the KM Assessment Tool to help the organization self-assess where their strengths and opportunities lie in managing knowledge. 2010) used the scale to measure the factors that influence knowledge management implementation. In Choi's (2000) study, the scale was used to measure the factors that influence knowledge management implementation. KP4: A well-defined knowledge management process is important for the organization so that it knows what it needs to know to achieve what it wants to do.
IKM3: Organization realized the importance of knowledge resources of the organization (copyright, patents), therefore there will be more emphasis on knowledge management in the future. True class interval scale is the scale with the distance property that allows the user to measure the magnitude of differences in preference between individuals (Sekaran, 2003).
Data Processing
The next step was followed by data transformation, a variation of data encoding, a process of changing the original numerical representation of a quantitative value to another value. In this process, new variables were created by combining the scores on the original questions into a single score. For example, the five items used to measure the variable “leadership” were combined and divided by 5 to obtain a new score for the variable “leadership”.
Data Analysis
- Descriptive Analysis
- Reliability Analysis
- Inferential Analyses
- Factor Analysis
- Pearson’s Correlation Analysis …. 66
Therefore, Cronbach's Alpha was used to assess the consistency and reliability of both independent and dependent variables. Inferential analyzes are used to draw conclusions about the characteristics of the population based on the sample data (Zikmund et al., 2010). In this study, Pearson's correlation analysis was used to measure and prove the relationship between five independent variables and dependent variables.
Multiple regression analysis is used to analyze the contribution of two or more independent variables to the variation of a dependent variable (Kerlinger and Pedhazur, 1973; Sekaran, 2003). It is also used to assess the degree of association between the independent variables and dependent variables.
Conclusion
Therefore, it is appropriate to use multiple regression analysis in this study to evaluate the relative impact of the five organizational factors on the implementation of knowledge management and the extent to which the variance in the implementation of knowledge management can be explained by the five organizational factors. factors.
RESEARCH RESULTS
Descriptive Analyses
- Respondent Demographic Profile
- Central Tendencies Measurement of Constructs … 71
About 54.4% of respondents strongly agreed that "leadership and commitment from top management are important in knowledge management implementation". The statement “Knowledge management is the responsibility of top management” has the highest standard deviation, namely 1.1278. User-friendliness of technological infrastructure increases effectiveness of knowledge management' is the statement with the highest score in standard deviation with 0.7861.
Next, 61.2% of the respondents agree with the quoted statement that "Reformulate any rules and procedures that hinder the implementation of knowledge management". The statement "Openness between employees is important for implementing knowledge management" has the highest standard deviation, which scored 0.7399.
Inferential Analyses
- Factor Analysis
- Factor Analysis on Independent
- Factor Analysis on Dependent Variable
- Pearson’s Correlation Analysis
- Multiple Regression Analysis
So when the perceived knowledge process is high, the rate of implementation of knowledge management is also high. So when the perceived culture and organizational structure are high, the rate of implementation of knowledge management is also high. In addition, the relationship between culture and organizational structure and implementation of knowledge management is significant because the p-value (0.000) is smaller than the alpha value (0.01).
In other words, there are other additional variables that are important in the implementation of knowledge management that are not considered in this study. Therefore, the independent variables (management, culture and organizational structure, knowledge process, human capital and technology infrastructure) significantly explain the variance in the implementation of knowledge management.
Conclusion
DISCUSSION AND CONCLUSION
Summary of Statistical Analyses
- Descriptive Analyses
- Respondent Demographic Profile …
- Central Tendencies Measurement of
- Reliability Analysis
- Inferential Analyses
- Factor Analysis
- Pearson’s Correlation Analysis
- Multiple Regression Analysis
There are 25 respondents (24.3% of the total respondents) who have been involved in such an exclusive preschool business for 1 - 2 years. There are 17 respondents (17.2% of the total respondents) who do not have any formal approach to the implementation of knowledge management within the organization. Whereas, there are 48 respondents (48.5% of the total respondents) who are aware of knowledge management and have initiated such a knowledge management program within their organization.
Finally, there are 34 respondents (34.3% of the total number of respondents) who have implemented such knowledge management practices within their organization. So if each of the independent variables is high, the dependent variable is also high.
Discussion of Major Findings
The result of the research shows that 4 independent variables (leadership, knowledge process, cultures and organizational structure, and human capital) have a significant relationship with the implementation of knowledge management. According to the quantitative and statistical analysis performed by Wong (2005), technology infrastructure was ranked as less important, 8th of 11 variables for knowledge management implementation. However, team-based structures and horizontal coordination resulted in greater knowledge sharing, which is crucial for knowledge management.
However, researcher Chong (2005) pointed out that knowledge management is still in the introductory stage in Malaysia. Management may still be unclear about the type of training that is suitable for knowledge management implementation (Chong, 2005).
Implications of the Study
- Managerial Implications
Second, the result of the study indicates that each of the proposed variables has significant interrelation between each variable. This means that 5 critical factors are interdependent to determine the success of knowledge management implementation. Manager and practitioner must understand and consider the effect of correlation between each factor before implementing knowledge management.
Each of the factors should be given equal emphasis in order to achieve the desired outcome of the implementation of knowledge management within the organization. As endorsed by the researcher Kavindra Mathi (2004), the success of the initiative is ultimately determined by a sufficient combination of the above factors and their embedding in the line organization.
Limitation of the Study
For example, the fixed-alternative nature of education level may lead to an inflated response chosen by respondents who did not wish to indicate their low level of education. On the other hand, there are some factors eliminated from the research because this is a study developed mainly for academic purposes and partially fulfilling the requirement of the final year project. However, there are many researchers who propose that multi-method research (a combination of qualitative and quantitative data collection methods) can lead to more reliable and accurate research results, although the quantitative approach has been proven suitable for management research. of knowledge in past studies.
According to Mahmoud Migdadi (2009), a combination of using quantitative and qualitative methods is an important direction for future work in proving the results of knowledge management. Finally, these limitations are acknowledged, but they do not detract from the significance of the results of this study.
Recommendations for Future Research
Conclusion
