Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach

Saman Foroutani, Nasim Fahimian, Reyhaneh Jalalinejad, Morteza Hezarkhani, Samaneh Mahmoudi, Behrooz Gharleghi·June 18, 2024

Summary

This research investigates the success and challenges in implementing knowledge management systems in government organizations, focusing on factors that contribute to success and those that hinder it. Key components for success include cooperation, open atmosphere, training, creativity, and supportive policies, while issues like formality, lack of staff participation, inadequate technology, complexity, and trust barriers are identified as challenges. The study employs a type-2 fuzzy approach to analyze these factors, emphasizing the strategic significance of knowledge management for organizational performance. It differentiates between tacit and explicit knowledge, and highlights the importance of addressing cultural, technological, and organizational barriers. The research uses a mixed-method approach, involving questionnaires, interviews, and literature reviews, to create a fuzzy map for assessing and ranking critical factors, with the aim of providing insights and recommendations for improving knowledge management in Iranian government organizations.

Key findings

2

Paper digest

What problem does the paper attempt to solve? Is this a new problem?

The paper aims to identify critical success and failure factors for implementing knowledge management systems in government organizations . This research addresses the challenge of optimizing information and knowledge management to enhance organizational efficiency and achieve strategic advantages . While the importance of effective knowledge management is well-recognized, the specific focus on critical success and failure factors in government organizations represents a valuable contribution to the field . By exploring factors such as cooperation, staff training, innovation, and organizational constraints, the study provides insights into enhancing knowledge management practices in government settings .


What scientific hypothesis does this paper seek to validate?

This paper aims to validate the scientific hypothesis related to the factors affecting the implementation success of knowledge management systems in government organizations. The study focuses on identifying and finalizing the effective dimensions and components of the knowledge management system, measuring content validity, reliability, and the performance and importance of qualitative components using type-2 fuzzy numbers . The research seeks to determine critical success and failure factors, effective factors on the implementation of knowledge management systems, and to rank these factors based on their importance and performance . Additionally, the paper explores the significance of organizational culture, organizational structure, human resources, information technology infrastructure, and leadership in the success of knowledge management systems .


What new ideas, methods, or models does the paper propose? What are the characteristics and advantages compared to previous methods?

The paper "Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach" proposes several new ideas, methods, and models related to knowledge management implementation success in government organizations:

  1. Content Validity and Reliability Assessment: The study utilized the Lawshe content validity ratio to measure content validity, ensuring that the questionnaire used in the research was valid and reliable . The study also measured reliability using Cronbach's alpha coefficient for all dimensions, with values above 0.7, indicating acceptable reliability of the questionnaire .

  2. Fuzzy Approach for Integration of Expert Opinions: The paper introduced a fuzzy approach where verbal expressions were converted to type-2 fuzzy numbers, and expert opinions were integrated using equations to determine fuzzy performance average and fuzzy weighted average .

  3. Strategic Fuzzy Map: A strategic fuzzy map was developed to illustrate the importance and performance of factors affecting knowledge management system implementation in government organizations. This map categorized factors based on their performance and importance levels, providing a visual representation of the factors' positions in the organization's quality space .

  4. Critical Success and Failure Factors Identification: The study ranked critical success and failure factors, determining effective factors for the implementation of knowledge management systems in government organizations. This analysis helped in identifying key factors that contribute to the success or failure of knowledge management initiatives .

  5. Factors Influencing Knowledge Transfer: The paper discussed various factors influencing knowledge transfer within and between organizations, such as organizational culture, information technology infrastructure, and leadership support. It highlighted the importance of factors like organizational culture in the success of knowledge management systems .

Overall, the paper presents a comprehensive framework incorporating fuzzy approaches, critical factor analysis, and insights into knowledge transfer dynamics to enhance the implementation success of knowledge management systems in government organizations. The paper "Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach" introduces several characteristics and advantages compared to previous methods:

  1. Content Validity and Reliability Assessment: The study utilized the Lawshe content validity ratio to ensure the questionnaire's content validity, with a focus on expert opinions to determine the importance of each factor . This approach enhances the credibility and reliability of the research findings by involving experts in the field to validate the questionnaire content.

  2. Fuzzy Approach for Integration of Expert Opinions: The paper employs a fuzzy approach where verbal expressions are converted to type-2 fuzzy numbers, integrating expert opinions using equations to determine fuzzy performance average and fuzzy weighted average . This method allows for a more nuanced and comprehensive analysis by considering the uncertainty and variability in expert opinions.

  3. Strategic Fuzzy Map for Visualization: The study develops a strategic fuzzy map to illustrate the importance and performance of factors affecting knowledge management system implementation in government organizations . This visual representation categorizes factors based on their performance and importance levels, providing a clear and intuitive way to understand the factors' positions in the organization's quality space.

  4. Identification of Critical Success and Failure Factors: The research ranks critical success and failure factors, identifying effective factors for knowledge management system implementation in government organizations . This analysis helps in prioritizing key factors that significantly impact the success or failure of knowledge management initiatives, enabling organizations to focus on critical areas for improvement.

  5. Factors Influencing Knowledge Transfer: The paper discusses factors influencing knowledge transfer within and between organizations, such as organizational culture, information technology infrastructure, and leadership support . By addressing these factors, organizations can enhance their knowledge sharing practices and overall performance, leading to more effective knowledge management implementations.

Overall, the paper's innovative characteristics, such as the fuzzy approach, strategic fuzzy map visualization, and emphasis on critical success factors, provide a comprehensive framework for improving knowledge management implementation success in government organizations compared to traditional methods.


Do any related researches exist? Who are the noteworthy researchers on this topic in this field?What is the key to the solution mentioned in the paper?

Several related research studies have been conducted in the field of knowledge management implementation in government organizations. Noteworthy researchers in this field include Ansari et al., Robbins, Butler, Zolanski, Smith et al., Targhen, D'Souza, and many others . These researchers have contributed valuable insights into the challenges and factors affecting knowledge transfer and management within organizations.

The key to the solution mentioned in the paper involves identifying effective factors through in-depth study of research literature and interviews with experts, conducting a comprehensive classification of risks associated with knowledge management, and addressing critical success factors and failure factors in the implementation of knowledge management systems . By understanding and addressing these factors, organizations can enhance their knowledge sharing practices and improve overall performance in knowledge management implementation in government organizations.


How were the experiments in the paper designed?

The experiments in the paper were designed as follows:

  • The study identified and finalized the effective dimensions and components of the knowledge management system, prepared a questionnaire with 18 components, and calculated the content validity ratio (CVR) with the opinions of 11 experts, where all components had a CVR higher than 0.59, indicating essentiality for implementation .
  • Reliability was measured using Cronbach's alpha coefficient for all dimensions, with values above 0.7, indicating acceptable reliability of the questionnaire .
  • The fuzzy performance average (R") and fuzzy weighted average (W") were integrated based on expert opinions using equations (3) and (4) .
  • A strategic fuzzy map was obtained to show the importance and performance of factors affecting the implementation of knowledge management systems in government organizations .
  • Critical success and failure factors for implementing knowledge management systems were ranked using relationships (6) and (7), showing effective factors for implementation in Table 5 .

What is the dataset used for quantitative evaluation? Is the code open source?

The dataset used for quantitative evaluation in the study is not explicitly mentioned in the provided context . Additionally, there is no information provided regarding the open-source status of the code used in the study.


Do the experiments and results in the paper provide good support for the scientific hypotheses that need to be verified? Please analyze.

The experiments and results presented in the paper provide strong support for the scientific hypotheses that needed verification. The study employed a rigorous methodology, including content validity assessment using the Lawshe content validity ratio and reliability measurement using Cronbach's alpha coefficient . The content validity ratio (CVR) was calculated for all components, indicating that the experts considered all components essential for knowledge management system implementation . Additionally, the Cronbach's alpha coefficients for various dimensions, such as Organizational Culture, Organizational Structure, Human Resource, Information Technology Infrastructure, and Leadership, were above 0.7, demonstrating acceptable reliability of the questionnaire .

Furthermore, the study integrated expert opinions using fuzzy numbers and equations to measure the performance and importance of factors affecting knowledge management implementation in government organizations . The fuzzy performance average and fuzzy weighted average were calculated to assess the significance of different components . The strategic fuzzy map generated based on the data provided insights into the qualitative components' impact on knowledge management system implementation, illustrating the importance and performance of factors in the organization .

Moreover, the paper identified critical success and failure factors for implementing knowledge management systems in government organizations, emphasizing the importance of factors like cooperation, staff training, creativity, and innovation, while highlighting obstacles such as lack of staff participation and inadequate IT infrastructure . The study's comprehensive analysis, methodology, and findings collectively offer robust support for the scientific hypotheses under investigation, contributing valuable insights to the field of knowledge management implementation in government organizations .


What are the contributions of this paper?

This paper makes several contributions in the field of knowledge management implementation in government organizations:

  • It identifies critical success and failure factors for implementing knowledge management systems in government organizations, emphasizing factors such as cooperation, an open atmosphere, staff training, creativity and innovation, removal of organizational constraints, reward policies, role modeling, and focus .
  • The study utilizes a descriptive survey methodology, collecting data through random interviews and questionnaires to highlight the critical success factors for knowledge management systems in government organizations .
  • It discusses how effective knowledge management is crucial for organizations to achieve their objectives efficiently, providing a strategic advantage and becoming a key determinant of organizational success .
  • The research delves into the challenges and factors affecting knowledge transfer and management within and between organizations, offering valuable insights into improving knowledge sharing practices and enhancing overall performance .
  • The paper also presents a strategic fuzzy map of the qualitative components affecting the implementation of knowledge management systems in government organizations, showing the importance and performance of factors in the organization .

What work can be continued in depth?

To delve deeper into the work outlined in the document, a focus on the factors influencing knowledge management implementation success in government organizations is crucial. The study identified dimensions and components essential for successful knowledge management systems . These dimensions include Organizational Culture, Organizational Structure, Human Resource, Information Technology Infrastructure, and Leadership and support of senior managers . Each of these dimensions plays a significant role in the effective implementation of knowledge management systems within government organizations.

Furthermore, exploring the factors that hinder knowledge sharing within organizations is essential for understanding the challenges and barriers that need to be addressed. Factors such as distrust, fear of mockery, undervaluing employee expertise, lack of motivation, poor knowledge transfer, inadequate support from management, and fear of criticism are among the obstacles identified . By recognizing and mitigating these barriers, organizations can enhance their knowledge sharing practices and overall performance.

Additionally, a detailed examination of the dimensions affecting the success of knowledge management system implementation is warranted. Factors like trust, cooperation, open atmosphere, knowledge sharing, creativity, innovation, employee participation, employee training, network infrastructure, hardware, access to applications, and IT staff are critical components that contribute to the effectiveness of knowledge management systems . Understanding and addressing these factors can lead to improved knowledge sharing practices and successful implementation of knowledge management initiatives in government organizations.

Tables

8

Introduction
Background
Evolution of knowledge management in public sector
Importance of KM in government organizations
Objective
To identify success factors and challenges in KM implementation
To assess the role of fuzzy approach in understanding complex dynamics
Methodology
Data Collection
Quantitative Research
Questionnaire survey
Distribution to government employees
Gathering data on KM practices and perceptions
Literature Review
Analysis of academic articles and reports
Compilation of existing knowledge on KM in government
Data Preprocessing
Cleaning and validation of questionnaire responses
Integration of literature findings
Fuzzy set theory data preparation
Fuzzy Type-2 Analysis
Tacit and Explicit Knowledge
Differentiation and importance
Fuzzy set representation of knowledge components
Critical Factors Assessment
Identification of success and challenge factors
Fuzzy mapping for ranking and prioritization
Mixed-Methods Approach
Integration of questionnaire results with interviews
triangulation for deeper understanding
Success Factors
Cooperation and Open Atmosphere
Collaboration among departments
Encouraging a learning culture
Training and Development
Skill enhancement programs
Knowledge sharing initiatives
Creativity and Innovation
Support for creative problem-solving
Incentives for knowledge creation
Supportive Policies
Organizational commitment to KM
Infrastructure and resources allocation
Challenges
Formality and Bureaucracy
Resistance to change and flexibility
Hierarchical barriers to knowledge flow
Lack of Staff Participation
Involvement and motivation of employees
Resistance to knowledge sharing
Inadequate Technology
Limited digital infrastructure
Integration issues with existing systems
Complexity and Organizational Structure
Hierarchical decision-making
Knowledge silos and fragmentation
Trust Barriers
Security concerns and confidentiality
Cultural and language differences
Conclusion
Fuzzy approach's contribution to understanding KM in government
Recommendations for improving knowledge management practices
Implications for Iranian government organizations and policy-makers
Basic info
papers
computers and society
artificial intelligence
Advanced features
Insights
What type of approach does the research employ to analyze the factors contributing to the success and challenges of knowledge management systems in government organizations?
How does the study differentiate between tacit and explicit knowledge in the context of knowledge management in Iranian government organizations?
What are some challenges faced by government organizations in implementing knowledge management systems, as mentioned in the research?
What are the key components considered essential for the success of knowledge management in these organizations?

Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach

Saman Foroutani, Nasim Fahimian, Reyhaneh Jalalinejad, Morteza Hezarkhani, Samaneh Mahmoudi, Behrooz Gharleghi·June 18, 2024

Summary

This research investigates the success and challenges in implementing knowledge management systems in government organizations, focusing on factors that contribute to success and those that hinder it. Key components for success include cooperation, open atmosphere, training, creativity, and supportive policies, while issues like formality, lack of staff participation, inadequate technology, complexity, and trust barriers are identified as challenges. The study employs a type-2 fuzzy approach to analyze these factors, emphasizing the strategic significance of knowledge management for organizational performance. It differentiates between tacit and explicit knowledge, and highlights the importance of addressing cultural, technological, and organizational barriers. The research uses a mixed-method approach, involving questionnaires, interviews, and literature reviews, to create a fuzzy map for assessing and ranking critical factors, with the aim of providing insights and recommendations for improving knowledge management in Iranian government organizations.
Mind map
Compilation of existing knowledge on KM in government
Analysis of academic articles and reports
Gathering data on KM practices and perceptions
Distribution to government employees
Fuzzy mapping for ranking and prioritization
Identification of success and challenge factors
Fuzzy set representation of knowledge components
Differentiation and importance
Literature Review
Questionnaire survey
Cultural and language differences
Security concerns and confidentiality
Knowledge silos and fragmentation
Hierarchical decision-making
Integration issues with existing systems
Limited digital infrastructure
Resistance to knowledge sharing
Involvement and motivation of employees
Hierarchical barriers to knowledge flow
Resistance to change and flexibility
Infrastructure and resources allocation
Organizational commitment to KM
Incentives for knowledge creation
Support for creative problem-solving
Knowledge sharing initiatives
Skill enhancement programs
Encouraging a learning culture
Collaboration among departments
triangulation for deeper understanding
Integration of questionnaire results with interviews
Critical Factors Assessment
Tacit and Explicit Knowledge
Fuzzy set theory data preparation
Integration of literature findings
Cleaning and validation of questionnaire responses
Quantitative Research
To assess the role of fuzzy approach in understanding complex dynamics
To identify success factors and challenges in KM implementation
Importance of KM in government organizations
Evolution of knowledge management in public sector
Implications for Iranian government organizations and policy-makers
Recommendations for improving knowledge management practices
Fuzzy approach's contribution to understanding KM in government
Trust Barriers
Complexity and Organizational Structure
Inadequate Technology
Lack of Staff Participation
Formality and Bureaucracy
Supportive Policies
Creativity and Innovation
Training and Development
Cooperation and Open Atmosphere
Mixed-Methods Approach
Fuzzy Type-2 Analysis
Data Preprocessing
Data Collection
Objective
Background
Conclusion
Challenges
Success Factors
Methodology
Introduction
Outline
Introduction
Background
Evolution of knowledge management in public sector
Importance of KM in government organizations
Objective
To identify success factors and challenges in KM implementation
To assess the role of fuzzy approach in understanding complex dynamics
Methodology
Data Collection
Quantitative Research
Questionnaire survey
Distribution to government employees
Gathering data on KM practices and perceptions
Literature Review
Analysis of academic articles and reports
Compilation of existing knowledge on KM in government
Data Preprocessing
Cleaning and validation of questionnaire responses
Integration of literature findings
Fuzzy set theory data preparation
Fuzzy Type-2 Analysis
Tacit and Explicit Knowledge
Differentiation and importance
Fuzzy set representation of knowledge components
Critical Factors Assessment
Identification of success and challenge factors
Fuzzy mapping for ranking and prioritization
Mixed-Methods Approach
Integration of questionnaire results with interviews
triangulation for deeper understanding
Success Factors
Cooperation and Open Atmosphere
Collaboration among departments
Encouraging a learning culture
Training and Development
Skill enhancement programs
Knowledge sharing initiatives
Creativity and Innovation
Support for creative problem-solving
Incentives for knowledge creation
Supportive Policies
Organizational commitment to KM
Infrastructure and resources allocation
Challenges
Formality and Bureaucracy
Resistance to change and flexibility
Hierarchical barriers to knowledge flow
Lack of Staff Participation
Involvement and motivation of employees
Resistance to knowledge sharing
Inadequate Technology
Limited digital infrastructure
Integration issues with existing systems
Complexity and Organizational Structure
Hierarchical decision-making
Knowledge silos and fragmentation
Trust Barriers
Security concerns and confidentiality
Cultural and language differences
Conclusion
Fuzzy approach's contribution to understanding KM in government
Recommendations for improving knowledge management practices
Implications for Iranian government organizations and policy-makers
Key findings
2

Paper digest

What problem does the paper attempt to solve? Is this a new problem?

The paper aims to identify critical success and failure factors for implementing knowledge management systems in government organizations . This research addresses the challenge of optimizing information and knowledge management to enhance organizational efficiency and achieve strategic advantages . While the importance of effective knowledge management is well-recognized, the specific focus on critical success and failure factors in government organizations represents a valuable contribution to the field . By exploring factors such as cooperation, staff training, innovation, and organizational constraints, the study provides insights into enhancing knowledge management practices in government settings .


What scientific hypothesis does this paper seek to validate?

This paper aims to validate the scientific hypothesis related to the factors affecting the implementation success of knowledge management systems in government organizations. The study focuses on identifying and finalizing the effective dimensions and components of the knowledge management system, measuring content validity, reliability, and the performance and importance of qualitative components using type-2 fuzzy numbers . The research seeks to determine critical success and failure factors, effective factors on the implementation of knowledge management systems, and to rank these factors based on their importance and performance . Additionally, the paper explores the significance of organizational culture, organizational structure, human resources, information technology infrastructure, and leadership in the success of knowledge management systems .


What new ideas, methods, or models does the paper propose? What are the characteristics and advantages compared to previous methods?

The paper "Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach" proposes several new ideas, methods, and models related to knowledge management implementation success in government organizations:

  1. Content Validity and Reliability Assessment: The study utilized the Lawshe content validity ratio to measure content validity, ensuring that the questionnaire used in the research was valid and reliable . The study also measured reliability using Cronbach's alpha coefficient for all dimensions, with values above 0.7, indicating acceptable reliability of the questionnaire .

  2. Fuzzy Approach for Integration of Expert Opinions: The paper introduced a fuzzy approach where verbal expressions were converted to type-2 fuzzy numbers, and expert opinions were integrated using equations to determine fuzzy performance average and fuzzy weighted average .

  3. Strategic Fuzzy Map: A strategic fuzzy map was developed to illustrate the importance and performance of factors affecting knowledge management system implementation in government organizations. This map categorized factors based on their performance and importance levels, providing a visual representation of the factors' positions in the organization's quality space .

  4. Critical Success and Failure Factors Identification: The study ranked critical success and failure factors, determining effective factors for the implementation of knowledge management systems in government organizations. This analysis helped in identifying key factors that contribute to the success or failure of knowledge management initiatives .

  5. Factors Influencing Knowledge Transfer: The paper discussed various factors influencing knowledge transfer within and between organizations, such as organizational culture, information technology infrastructure, and leadership support. It highlighted the importance of factors like organizational culture in the success of knowledge management systems .

Overall, the paper presents a comprehensive framework incorporating fuzzy approaches, critical factor analysis, and insights into knowledge transfer dynamics to enhance the implementation success of knowledge management systems in government organizations. The paper "Navigating Knowledge Management Implementation Success in Government Organizations: A type-2 fuzzy approach" introduces several characteristics and advantages compared to previous methods:

  1. Content Validity and Reliability Assessment: The study utilized the Lawshe content validity ratio to ensure the questionnaire's content validity, with a focus on expert opinions to determine the importance of each factor . This approach enhances the credibility and reliability of the research findings by involving experts in the field to validate the questionnaire content.

  2. Fuzzy Approach for Integration of Expert Opinions: The paper employs a fuzzy approach where verbal expressions are converted to type-2 fuzzy numbers, integrating expert opinions using equations to determine fuzzy performance average and fuzzy weighted average . This method allows for a more nuanced and comprehensive analysis by considering the uncertainty and variability in expert opinions.

  3. Strategic Fuzzy Map for Visualization: The study develops a strategic fuzzy map to illustrate the importance and performance of factors affecting knowledge management system implementation in government organizations . This visual representation categorizes factors based on their performance and importance levels, providing a clear and intuitive way to understand the factors' positions in the organization's quality space.

  4. Identification of Critical Success and Failure Factors: The research ranks critical success and failure factors, identifying effective factors for knowledge management system implementation in government organizations . This analysis helps in prioritizing key factors that significantly impact the success or failure of knowledge management initiatives, enabling organizations to focus on critical areas for improvement.

  5. Factors Influencing Knowledge Transfer: The paper discusses factors influencing knowledge transfer within and between organizations, such as organizational culture, information technology infrastructure, and leadership support . By addressing these factors, organizations can enhance their knowledge sharing practices and overall performance, leading to more effective knowledge management implementations.

Overall, the paper's innovative characteristics, such as the fuzzy approach, strategic fuzzy map visualization, and emphasis on critical success factors, provide a comprehensive framework for improving knowledge management implementation success in government organizations compared to traditional methods.


Do any related researches exist? Who are the noteworthy researchers on this topic in this field?What is the key to the solution mentioned in the paper?

Several related research studies have been conducted in the field of knowledge management implementation in government organizations. Noteworthy researchers in this field include Ansari et al., Robbins, Butler, Zolanski, Smith et al., Targhen, D'Souza, and many others . These researchers have contributed valuable insights into the challenges and factors affecting knowledge transfer and management within organizations.

The key to the solution mentioned in the paper involves identifying effective factors through in-depth study of research literature and interviews with experts, conducting a comprehensive classification of risks associated with knowledge management, and addressing critical success factors and failure factors in the implementation of knowledge management systems . By understanding and addressing these factors, organizations can enhance their knowledge sharing practices and improve overall performance in knowledge management implementation in government organizations.


How were the experiments in the paper designed?

The experiments in the paper were designed as follows:

  • The study identified and finalized the effective dimensions and components of the knowledge management system, prepared a questionnaire with 18 components, and calculated the content validity ratio (CVR) with the opinions of 11 experts, where all components had a CVR higher than 0.59, indicating essentiality for implementation .
  • Reliability was measured using Cronbach's alpha coefficient for all dimensions, with values above 0.7, indicating acceptable reliability of the questionnaire .
  • The fuzzy performance average (R") and fuzzy weighted average (W") were integrated based on expert opinions using equations (3) and (4) .
  • A strategic fuzzy map was obtained to show the importance and performance of factors affecting the implementation of knowledge management systems in government organizations .
  • Critical success and failure factors for implementing knowledge management systems were ranked using relationships (6) and (7), showing effective factors for implementation in Table 5 .

What is the dataset used for quantitative evaluation? Is the code open source?

The dataset used for quantitative evaluation in the study is not explicitly mentioned in the provided context . Additionally, there is no information provided regarding the open-source status of the code used in the study.


Do the experiments and results in the paper provide good support for the scientific hypotheses that need to be verified? Please analyze.

The experiments and results presented in the paper provide strong support for the scientific hypotheses that needed verification. The study employed a rigorous methodology, including content validity assessment using the Lawshe content validity ratio and reliability measurement using Cronbach's alpha coefficient . The content validity ratio (CVR) was calculated for all components, indicating that the experts considered all components essential for knowledge management system implementation . Additionally, the Cronbach's alpha coefficients for various dimensions, such as Organizational Culture, Organizational Structure, Human Resource, Information Technology Infrastructure, and Leadership, were above 0.7, demonstrating acceptable reliability of the questionnaire .

Furthermore, the study integrated expert opinions using fuzzy numbers and equations to measure the performance and importance of factors affecting knowledge management implementation in government organizations . The fuzzy performance average and fuzzy weighted average were calculated to assess the significance of different components . The strategic fuzzy map generated based on the data provided insights into the qualitative components' impact on knowledge management system implementation, illustrating the importance and performance of factors in the organization .

Moreover, the paper identified critical success and failure factors for implementing knowledge management systems in government organizations, emphasizing the importance of factors like cooperation, staff training, creativity, and innovation, while highlighting obstacles such as lack of staff participation and inadequate IT infrastructure . The study's comprehensive analysis, methodology, and findings collectively offer robust support for the scientific hypotheses under investigation, contributing valuable insights to the field of knowledge management implementation in government organizations .


What are the contributions of this paper?

This paper makes several contributions in the field of knowledge management implementation in government organizations:

  • It identifies critical success and failure factors for implementing knowledge management systems in government organizations, emphasizing factors such as cooperation, an open atmosphere, staff training, creativity and innovation, removal of organizational constraints, reward policies, role modeling, and focus .
  • The study utilizes a descriptive survey methodology, collecting data through random interviews and questionnaires to highlight the critical success factors for knowledge management systems in government organizations .
  • It discusses how effective knowledge management is crucial for organizations to achieve their objectives efficiently, providing a strategic advantage and becoming a key determinant of organizational success .
  • The research delves into the challenges and factors affecting knowledge transfer and management within and between organizations, offering valuable insights into improving knowledge sharing practices and enhancing overall performance .
  • The paper also presents a strategic fuzzy map of the qualitative components affecting the implementation of knowledge management systems in government organizations, showing the importance and performance of factors in the organization .

What work can be continued in depth?

To delve deeper into the work outlined in the document, a focus on the factors influencing knowledge management implementation success in government organizations is crucial. The study identified dimensions and components essential for successful knowledge management systems . These dimensions include Organizational Culture, Organizational Structure, Human Resource, Information Technology Infrastructure, and Leadership and support of senior managers . Each of these dimensions plays a significant role in the effective implementation of knowledge management systems within government organizations.

Furthermore, exploring the factors that hinder knowledge sharing within organizations is essential for understanding the challenges and barriers that need to be addressed. Factors such as distrust, fear of mockery, undervaluing employee expertise, lack of motivation, poor knowledge transfer, inadequate support from management, and fear of criticism are among the obstacles identified . By recognizing and mitigating these barriers, organizations can enhance their knowledge sharing practices and overall performance.

Additionally, a detailed examination of the dimensions affecting the success of knowledge management system implementation is warranted. Factors like trust, cooperation, open atmosphere, knowledge sharing, creativity, innovation, employee participation, employee training, network infrastructure, hardware, access to applications, and IT staff are critical components that contribute to the effectiveness of knowledge management systems . Understanding and addressing these factors can lead to improved knowledge sharing practices and successful implementation of knowledge management initiatives in government organizations.

Tables
8
Scan the QR code to ask more questions about the paper
© 2025 Powerdrill. All rights reserved.