Publicação
Knowledge management and knowledge sharing in maintenance department of knowledge-intensive industries
| Resumo: | In the rapidly evolving landscape of knowledge-intensive industries, effective knowledge management (KM) and knowledge sharing (KS) within maintenance departments are crucial pillars for sustained operational excellence and innovation. This thesis thoroughly explores KM and KS practices in the context of knowledge-intensive maintenance, unraveling the intricacies and complexities inherent in this dynamic environment. Background and Context: Knowledge-intensive maintenance, characterized by the maintenance of sophisticated equipment, demands cutting-edge technical expertise and strategic approaches to knowledge dynamics. As technology advances, the challenges and opportunities within this context underscore the need for a nuanced understanding of KM and KS practices. Rationale for the Study: Firm competition in knowledge-intensive sectors has shifted toward a knowledge-based economy, where the competitive advantage of knowledge-intensive industries hinges on their ability to generate and deploy novel knowledge solutions. This study is grounded in the rationale that enhancing KM and KS practices in knowledge-intensive maintenance is imperative for organizational resilience and competitiveness. Research Objectives and Questions: The primary objectives of this research are to comprehensively understand existing KM and KS practices, identify gaps, propose targeted strategies for improvement, and synthesize findings. Key questions guide the exploration, addressing prevailing practices, the facilitation or hindrance of KS, and the specific challenges and opportunities associated with knowledge dynamics in knowledge-intensive maintenance. Significance of the Study: This study contributes significantly to academic discourse by addressing the complexities of KM and KS in highly specialized knowledge-intensive iv maintenance contexts. Practically, the findings offer actionable insights for organizations striving to optimize maintenance practices through more effective knowledge utilization, transcending theoretical boundaries. Structure of the Thesis: The thesis unfolds through four meticulously conducted studies, each delving into critical aspects of KM and KS in knowledge-intensive maintenance. The chapters encompass an introduction, an extensive literature review, and in-depth analyses of four key papers. The conclusion chapter synthesizes and integrates diverse insights, offering a holistic understanding through its comprehensive summary of key findings, theoretical implications, and proposed avenues for future research. This thesis, with its comprehensive examination of KM and KS in knowledge-intensive maintenance, offers a roadmap that is directly relevant to the professional or academic interests of organizations seeking to enhance operational efficiency and innovation capabilities within this dynamic technological landscape. |
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| Autores principais: | Roham, Hamid |
| Assunto: | Knowledge management knowledge sharing Industrial maintenance Novices |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | tese de doutoramento |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | In the rapidly evolving landscape of knowledge-intensive industries, effective knowledge management (KM) and knowledge sharing (KS) within maintenance departments are crucial pillars for sustained operational excellence and innovation. This thesis thoroughly explores KM and KS practices in the context of knowledge-intensive maintenance, unraveling the intricacies and complexities inherent in this dynamic environment. Background and Context: Knowledge-intensive maintenance, characterized by the maintenance of sophisticated equipment, demands cutting-edge technical expertise and strategic approaches to knowledge dynamics. As technology advances, the challenges and opportunities within this context underscore the need for a nuanced understanding of KM and KS practices. Rationale for the Study: Firm competition in knowledge-intensive sectors has shifted toward a knowledge-based economy, where the competitive advantage of knowledge-intensive industries hinges on their ability to generate and deploy novel knowledge solutions. This study is grounded in the rationale that enhancing KM and KS practices in knowledge-intensive maintenance is imperative for organizational resilience and competitiveness. Research Objectives and Questions: The primary objectives of this research are to comprehensively understand existing KM and KS practices, identify gaps, propose targeted strategies for improvement, and synthesize findings. Key questions guide the exploration, addressing prevailing practices, the facilitation or hindrance of KS, and the specific challenges and opportunities associated with knowledge dynamics in knowledge-intensive maintenance. Significance of the Study: This study contributes significantly to academic discourse by addressing the complexities of KM and KS in highly specialized knowledge-intensive iv maintenance contexts. Practically, the findings offer actionable insights for organizations striving to optimize maintenance practices through more effective knowledge utilization, transcending theoretical boundaries. Structure of the Thesis: The thesis unfolds through four meticulously conducted studies, each delving into critical aspects of KM and KS in knowledge-intensive maintenance. The chapters encompass an introduction, an extensive literature review, and in-depth analyses of four key papers. The conclusion chapter synthesizes and integrates diverse insights, offering a holistic understanding through its comprehensive summary of key findings, theoretical implications, and proposed avenues for future research. This thesis, with its comprehensive examination of KM and KS in knowledge-intensive maintenance, offers a roadmap that is directly relevant to the professional or academic interests of organizations seeking to enhance operational efficiency and innovation capabilities within this dynamic technological landscape. |
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