Integrated Knowledge Management Research Articles

A Comprehensive Bibliometric Analysis of Business Process Management and Knowledge Management Integration: Bridging the Scholarly Gap

In the ever-evolving landscape of organisational optimisation, the integration of business process management (BPM) and knowledge management (KM) emerges as a critical challenge. Beyond the opportunity to expedite the improvement of the organisation’s operations, this integration serves as a gateway to unlocking the full potential of organisational knowledge and digital transformation. With its comprehensive evaluation of the dimensions of research on BPM and KM, this article aims to unveil predominant topics and evolving trends within this intersection. By doing so, it seeks to catalyse meaningful advancements in organisational management practices, underscoring the relevance and importance of this topic to the audience. The authors conducted a rigorous research process. Using bibliographic analysis, they selected 359 publications from the Scopus database. They employed performance analysis and scientific mapping methods to extract meaningful insights facilitated by MS Excel and VOSviewer applications. Additionally, they conducted an in-depth analysis of 37 publications chosen through bibliographic coupling analysis. The findings highlight a significant gap in the scholarly discourse on BPM and KM, which is evident in the limited research outcomes and minimal influence on decision-making processes. This study reiterates the need for increased dedication to this research realm, particularly in areas identified in the future research agenda recommendations, to stimulate significant advancements in organisational management practices. This paper stands out from the up-to-date reviews by offering a unique contribution to the BPM and KM integration field. While these reviews often focus on specific niches within the broader domain, this study takes a holistic approach. It provides a comprehensive overview of the existing literature on integrating BPM and KM, delving into the quantity and quality of existing research. It also identifies emerging themes and potential directions for future scholarship, ensuring a robust understanding of the integrative landscape of BPM and KM.

Evaluating the impact of knowledge management and database management on decision-making process: A case study of subsea project services

The oil and gas industry is known for its rapid technological advancements and the complexity of its operations, increasingly relying on data-intensive management. As subsea projects—from exploration to decommissioning—become more complex and data-driven, integrating knowledge management (KM) and database management systems (DBMS) has become essential. The research specifically explores how KM and DBMS contribute to decision-making, utilizing a quantitative methodology through a questionnaire survey. Findings reveal that KM processes significantly improve the effectiveness of non-spatial data management, highlighting KM's crucial role in facilitating technology adoption and operational efficiency. However, the influence of KM on spatial data management and overall decision-making is found to be limited, indicating the necessity for more adaptive and integrated KM strategies that serve the unique requirements of database systems. This study underscores the critical but nuanced role of KM and DBMS in the oil and gas industry, advocating for tailored KM strategies to optimize database management. It suggests future research into the interplay of KM with emerging technologies like AI and machine learning to enhance database management. This investigation stresses the importance of holistic KM practices in effectively managing the intricate data landscapes of subsea project services, thereby contributing to the broader discourse on KM, DBMS, and decision-making in complex settings.

Integration of knowledge management processes into a dynamic organizational environment

The article is devoted to the study of the impact of intellectual resources in the form of knowledge bases on the sustainable development of organizations. In today's world, where Knowledge is a key resource for success, the integration of Knowledge Management becomes an important component to ensure organizational competitiveness. The study emphasizes that successful implementation of artificial intelligence and knowledge bases requires not only technological solutions but also cultural changes within organizations, particularly in the areas of learning culture and collaboration. The authors of the article investigate the processes of acquisition, combination, and protection of Knowledge as key components of organizational sustainable development. They point out that the ability to acquire and combine Knowledge allows organizations to realize their potential in value creation. Knowledge Management is presented as a strategic component aimed at increasing productivity and competitiveness. The article discusses higher-order capabilities, such as adaptability, absorptive capacity, and innovation capacity, which affect the ability of organizations to respond to changes in the external environment. The algorithm for Knowledge utilization in organizations describes a comprehensive intellectual platform for managing and optimizing processes in the dynamic organizational environment. The Knowledge Management system includes managed and managing components, where the managed system reflects current parameters and information, while the managing system provides data storage, learning, and ontological knowledge base. The ontological knowledge base includes a set of concepts, semantic relationships, interpretation function, and axioms. Knowledge base updates occur depending on changes in time and the addition of new concepts, relationships, and axioms. Generalized ER-diagrams illustrate the structure and interaction of the learning module with the results used to update the Knowledge base. The algorithm allows you to analyze the state of the system and make optimal decisions based on the accumulated Knowledge.

Knowledge Management Strategy of Advance Manufacturing Study Case in Automotive Component Industry

Advanced manufacturing enterprises are typically have implemented automation and digital technology, Just in Time production and system, and advanced product development. But all those advanced manufacturing implementations did not instantly give result as expected, because people within enterprise was not ready as important actors. Effective knowledge management strategy was needed to face this constraint. This research was show us the priority strategy of knowledge management at a manufacturing enterprise in which has implemented advanced manufacturing. This research involved 4 internal experts to formulate knowledge management strategy and then decide the most priority one. APO knowledge management assessment tool was used combined with Analytical Hierarchy Process (AHP). There were 4 alternatives of knowledge management strategy as the result, i.e (1) integrating knowledge management with performance management, (2) optimize information technology to support knowledge management process, (3) develop community of practice trough expert track career path, and (4) Implement learning review during project. The by using AHP, integrating knowledge management with performance management was decided as first priority strategy.

Integrating Knowledge Management into Marketing for Enhanced Decision-Making and Performance

The integration of knowledge management (KM) into marketing strategies has become increasingly vital for organizations striving to enhance decision-making processes and overall performance in today's dynamic business landscape. This study aims to explore the multifaceted nature of KM integration in marketing contexts and its implications for organizational success.The researches design employed a systematic literature review to synthesize insights from diverse perspectives and shed light on key determinants of KM effectiveness. Findings reveal that organizational readiness, user acceptance, and system usability emerge as critical factors influencing the effectiveness of KM in supporting marketing decision-making. Organizational culture, leadership support, and technological infrastructure play pivotal roles in shaping KM initiatives and driving organizational performance outcomes. The implications of this study underscore the importance of addressing challenges related to organizational culture, leadership support, and technological infrastructure to maximize the benefits of KM in marketing contexts. By adopting proactive measures and a holistic approach to KM implementation, organizations can leverage their knowledge assets more effectively and gain a competitive edge in the marketplace.

Bridging excellence, knowledge management and sustainability: Introducing the ‘Knowledge Management Excellence Model 21′, a model for sustainable development goals alignment

This paper aims to introduce a new sustainable business excellence model, called Knowledge Management Excellence Model 21 (KMEM21), a theoretical framework that combines Knowledge Management and Business Excellence Models (BEMs), proposing an approach applicable to organizations to directly contribute towards achieving the United Nations Sustainable Development Goals (SDGs). The paper through a qualitative-exploratory methodology makes an analysis and benchmarking, emphasizes the integration of Knowledge Management and three specific Business Excellence Models (Management Excellence Model (MEG) from Brazil, Baldrige Excellence Framework, and EFQM). This integration uncovers relationships between organizational concepts associated with Knowledge Management and BEMs, which contributes to new insights in the literature regarding these concepts' interplay. BEMs are presented as tools that can catalyze the power of Knowledge Management towards achieving SDGs. However, it's noted that the existing BEMs might not be adequate, as the goal extends beyond organizational improvement and excellence to encompass sustainable development aligned with SDGs. The article suggests that specific organizational concepts, identified through a literature review and aligned with Knowledge Management and BEMs, can be selected as indicators associated with the constructed KMEM21 and the SDGs. These indicators are intended to form a bridge between the new model and the SDGs. However, given the comprehensive nature of the theory, model development, application, result acquisition, and analysis, the article's primary contribution will be in its focus on elaborating the instrument and technique, demonstrating the creation of a theoretical framework for the SDGs. Future works will showcase the application of the proposed KMEM21 method in five Brazilian organizations, members of Global Compact, to compare the achieved objectives and the results obtained with the organizations' performance and their sustainability reports.

Trends in Knowledge Capturing and Its Success Factors: A Systematic Literature Review

Knowledge management (KM) is a systematic approach that facilitates the development, dissemination, and creation of value from information and knowledge within an organization. Knowledge management is deemed the most valuable asset for many organizations. However, the implementation of a knowledge capturing model is still a challenging task. In this research, a Systematic Literature Review (SLR) methodology is employed to identify and analyze diverse approaches to capturing and utilizing knowledge in various organizational domains. The search process is executed across five databases, namely, Scopus, Science Direct, Emerald Insight, Taylor & Francis Online, and IEEE. The study findings reveal a total of 24 knowledge capture methods employed across diverse organizational contexts and knowledge types. Among these methods, the questionnaire was mentioned in 4 articles, an interview in 2 articles, and an expert interview in two articles. The success factors were classified into 20 types, including common knowledge, organizational capabilities, quality of knowledge, trust and acceptance, leadership capabilities, feedback and learning, performance measurement, reward and recognition, efficiency, knowledge management integration, organizational culture, knowledge managers tools and techniques, effectiveness, motivation, information technology, and knowledge management process, training, knowledge representation, and collaboration. Additionally, the identified trending methods and eight key success factors that influence implementation of various knowledge capture models add a new understanding of the critical elements for success in knowledge capture initiatives. This review, in accordance with PRISMA guidelines, provides a foundation for future research efforts in knowledge acquisition and systematic literature review.

KNOWLEDGE MANAGEMENT IN THE CONDITIONS OF INDUSTRIAL ENTERPRISES INTELLECTUALIZATION AND DIGITALIZATION DEVELOPMENT

Objective. The purpose of the research is to deepen the methodological and applied foundations of knowledge management in the conditions of industrial enterprises intellectualization and digitalization development. Methodology. The methodological basis of the research article is a set of theories and concepts that contribute to a full understanding of the knowledge management process of the content at an enterprise in the context of intellectualization and digitalization: theories of knowledge economy, entrepreneurship, institutionalism, microeconomic theory of knowledge management, theory of new knowledge acquisition; the concept of information society; the concept of intellectual capital; the concept of social capital. The methodology is based on system analysis as a scientific method of researching the enterprise knowledge management functions. The study used quantitative and qualitative methods of data and information collection and analysis; methods of analytical, situational analysis and synthesis; comparative analysis, generalization of scientific experience of modern theoretical research, and a systemic and integrated approach. Results. The article outlines the important role of knowledge management in creating competitive advantages, increasing the value of enterprises and ensuring their long-term sustainable development. A new understanding of the essence of the categories of “knowledge management of an industrial enterprise” and “knowledge management system of an industrial enterprise” has been proposed. A theoretical generalization of the concept of knowledge management of industrial enterprises has been carried out. The article describes new trends in the knowledge management system based on the synergistic relationship between technological components and behavioral aspects in management. The scientific novelty lies in improving the methodology and concept of an integrated knowledge management system and methodological support for its effective practical application. The implementation of the knowledge management system in the conditions of intellectualization and digitalization is substantiated, which improves knowledge accumulation processes, integrates knowledge into the field of the enterprise activity and ensures the exchange of knowledge between employees and key stakeholders. Modern knowledge management tools that enable intellectualization and high-quality digitalization of an enterprise are identified. Recommendations for improving knowledge management at industrial enterprises have been developed, as well as mechanisms for their practical implementation have been proposed. Practical significance of the obtained results. The author’s developments and recommendations can be used to effectively use the intellectual potential of an enterprises to increase economic added value through the growth of organizational knowledge.

Leveraging Knowledge Management Techniques for Developing Multimedia Exercise Guides for Elderly Fall Prevention

In this research study, the primary objective was to develop a comprehensive exercise program specifically designed for elderly individuals. The focus was on evaluating various exercise postures and validating their impact on muscle groups. By integrating knowledge management systems with knowledge engineering methodologies, the aim was to optimize the design of exercise postures and promote optimal health outcomes for the elderly. Divided into three distinct experiments, the study employed a systematic approach to acquire, represent, and validate knowledge related to exercise postures for the elderly population. The use of knowledge management systems and engineering methodologies facilitated the design of effective exercise postures tailored to meet the unique needs and capabilities of elderly individuals. Experiment I focused on knowledge acquisition through structured interviews with physical therapists. The acquired knowledge was used to screen and prioritize exercise postures suitable for elderly individuals. Expert recommendations and analysis were employed to select a set of exercise postures. Using a matrix combination approach, 189 possible exercise postures were generated by combining aerobic and dance postures. Through a screening process, 52 postures were selected as suitable for elderly individuals. Experiment II utilized kinesthetic representation techniques to visually represent the 52 selected exercise postures for the elderly. Additionally, frame representation was employed to capture muscle specifications associated with each posture. The representation design was validated by physical exercise experts. In the first step of Experiment III, a total of 52 exercise postures were implemented and evaluated with elderly participants. The implementation and validation process aimed to identify the best and most appropriate postures for the elderly, considering factors such as satisfaction levels, difficulty levels, and safety considerations. Through this rigorous evaluation, the initial selection of 52 postures was narrowed down to a final set of 21 suitable postures. The validation results provided valuable insights into the effectiveness of the exercise postures and their impact on the elderly participants. It ensured that the chosen postures were not only effective in promoting optimal health outcomes but also minimized the risk of injury. The iterative assessment and refinement process contributed to the development of an evidence-based exercise program specifically tailored to the unique needs and capabilities of elderly individuals. For the second step of Experiment III, the effects of the selected exercise postures on different muscle groups were validated. Three physical exercise experts evaluated the impact on upper limb, trunk, and lower limb muscles. Specific muscle groups, such as brachioradialis, deltoid, quadriceps, and hamstring, were found to be strongly focused on during the exercises, while trunk muscles were rated as poor overall. The evaluation involved implementing and evaluating a total of 52 exercise postures with elderly participants. The selection of the final 21 postures was based on the evaluation results and provided insights into satisfaction levels, difficulty levels, and safety considerations for each exercise posture. The validation outcomes showed a high level of agreement among the experts, ranging from 79% to 91%. For conclusion, this research aimed to enhance exercise programs for the elderly by developing more effective methodologies for designing exercise postures. By considering the specific requirements of the elderly population and utilizing knowledge management systems, the study successfully created exercise postures that maximize health benefits and overall well-being. Through the implementation of knowledge engineering methodologies and the utilization of knowledge management systems, the research optimized the design of exercise postures for elderly individuals. The division of the study into three experiments enabled a comprehensive analysis of the acquired knowledge, leading to the development of exercise postures specifically tailored to the needs of the elderly population.

A Conceptual Framework for Measuring Organizational Performance through Knowledge Management and Training

This paper proposes a comprehensive conceptual framework designed to evaluate organizational performance by integrating knowledge management (KM) strategies and training initiatives. In contemporary business environments, where knowledge serves as a primary asset, organizations increasingly recognize the critical role of effective knowledge management and training programs in enhancing performance. However, existing frameworks often lack holistic approaches that consider the interplay between these two vital components. Drawing upon theoretical insights from organizational theory, human resource management, and knowledge management literature, this framework synthesizes key dimensions and indicators essential for assessing organizational performance. The proposed framework incorporates elements such as knowledge creation, acquisition, dissemination, utilization, and retention, intertwined with tailored training interventions aimed at enhancing employee competencies and capabilities. By delineating these interconnected dimensions, the framework offers a systematic approach for organizations to evaluate the efficacy of their knowledge management and training initiatives in driving organizational performance. Furthermore, the framework provides a basis for future empirical research and practical applications in diverse organizational contexts, fostering a deeper understanding of the intricate dynamics between knowledge management, training, and organizational performance.

Integrated knowledge management in the supply chain: Assessment of knowledge adoption solutions through a comprehensive CoCoSo method under uncertainty

The natural dispersion of supply chain (SC) elements and the distribution of knowledge within these elements have necessitated an integrated knowledge management (KM) process in the SC. The use of KM poses many challenges for the members of the SC, and the key to the survival of the SC lies in identifying and solving these challenges. For this reason, this paper aims to appraise the challenges of knowledge adoption in the steel SC and proposes solutions to address these challenges. To determine the significance of challenges in the SC and rank the effective knowledge adoption solutions to address these challenges, a new method called Comprehensive CoCoSo (CoCoCoSo) is introduced based on the CoCoSo method. This method consists of three parts: weighting the challenges, weighting the experts, and ranking the solutions, respectively. In the first part, a new process for weighting the challenges based on CoCoSo is presented; in the second part, the CoCoSo method is enhanced by the ideal average concept for weighting the experts, and finally, a new prescription of CoCoSo is introduced in the ranking part of the knowledge adoption solutions. Also, type-2 fuzzy sets (T2FSs) are used to consider the uncertainty in experts' opinions. T2FSs are much stronger compared to classical fuzzy sets because they have fuzzy membership degrees and prepare more degrees of freedom to consider uncertainty. Then, the challenges in the steel SC are determined using experts' opinions, and then the importance of these challenges is assessed. Furthermore, solutions to face these challenges are outlined, and then using the CoCoCoSo method, the efficiency of solutions to solve the challenges is evaluated and ranked according to their efficiency. Among the proposed solutions, affirmative leadership for KM adoption in SC and creating reliable teamwork have been identified as the most effective solutions. Also, sensitivity analysis shows that the proposed method is sensitive to the weight of the challenges. Finally, the validity of the proposed method has been confirmed by comparing it with well-known methods in the literature. Additionally, using the different degree index, the superiority of the proposed method over well-known methods in the literature has been determined.

IMPROVING HIGHER EDUCATION COMPETITIVENESS THROUGH A CULTURE OF ACADEMIC QUALITY MEDIATED BY KNOWLEDGE MANAGEMENT IN JAKARTA

Objective: This study aims to explain the factors that affect the competitiveness of universities in the Jakarta area. The Jakarta region was chosen because it is in the middle of the country's capital. Methods: This study used quantitative methods, the population was 356 lecturers, the number of samples studied was 188 lecturers from 10 participating private universities. The research focus of the college is accredited "B". The sampling technique uses simple random sampling. Data collection is carried out by distributing questionnaires. Data was analyzed using SEM-PLS. Results: The study are expected to provide input related to quality issues in the Jakarta area. The findings show that quality culture has a significant effect on competitiveness directly or indirectly mediated by knowledge management. The novelty of this study is that knowledge management was found to be able to mediate between quality culture and competitiveness. Conclusion: For the policies of university leaders in decision making in the implementation of a quality culture built from internal quality assurance and integrating knowledge management to all unit leaders to utilize knowledge as a driver of innovation in building higher education competitiveness.

Critically Reviewing the Integration of Knowledge Management (KM) and Artificial Intelligence (AI): Future Trends and Implications

Critically Reviewing the Integration of Knowledge Management (KM) and Artificial Intelligence (AI): Future Trends and Implications

Spiritual Knowledge Management: Practical Wisdom and Faith-at-Work Brought to Life

Integrating knowledge management, faith-at-work, and phronetic workplace domains, this paper presents phronesis, or practical wisdom, and faith-at-work (FAW) based on theoretical principles of moral actions and character virtues and real-life examples of FAW practices such as thoughts, behaviors, and feelings, bringing to life the practically-wise company. Answering a call to investigate phronesis in the workplace to understand how the individual level of practical wisdom spreads throughout the company achieving a practically-wise company this paper refines one segment of Long’s (2022) research findings in Faith at Work: People, Places, Practices, and Tools from the spiritual knowledge management (SKM) domain perspective. These FAW experiences equate to spiritual knowledge and spiritual intelligence in motion while supporting human resource development strategies for employee flourishment. The methodology is empirical phenomenology presupposing theory for the relevant phenomena. The Long (2022) study adds a deeper understanding that sharpens and supports SKM by extracting specific findings and implications of the integration of practical wisdom, moral actions, character virtues, and FAW practices - intersections that enlighten organizations to create desirable value.

Exploring knowledge management from a software engineering perspective

Context: The knowledge domain of software engineering (SE) gradually expands due to fast emerging technologies and complex organisational processes. The software industry represents a special focus of interest from a Knowledge Management (KM) perspective, as it is characterized by high employee turnover, a high level of outsourced projects, and an accelerated pace of technology innovations. Knowledge management can substantially influence SE knowledge's life cycle, contributing to better structuring of organisational processes of knowledge creation, knowledge transfer, and knowledge sharing. Reflecting on the trends for SE automation with artificial intelligence tools, KM approaches can enable companies and professionals to reconsider the future of SE work. Purpose: The present research aims to identify and investigate how implementing knowledge management principles and processes within the software engineering domain can facilitate the future transformation of software-related jobs. Based on a conceptual model, built upon the literature review, the paper analyses the quantitative data, collected from 91 software experts. Evaluating the impact of both organizational and domain types of SE knowledge, the discussion evaluates the unique value-adding SE processes along with models of how to explore AI applications to automate the SE domain. Results: The outcomes of the analysis identify the models of structuring knowledge management processes in SE both within the technological domain and organisational layers. The discussion section establishes suitable KM methods and approaches for supporting SE job transformation. It identifies the main knowledge management integration practices, demonstrating how combining KM with AI-based innovations may change the SE knowledge flow, improving substantially SE activities like onboarding new team members, monitoring software documentation, version control, and error tracking.

Assessing the impact of knowledge management factors on digital resources acceptance: a survey of postgraduate students of public sector universities of Punjab

PurposeThis study aims to measure the acceptance of digital resources by integrating knowledge management (KM) factors (i.e. acquisition, sharing, application and protection) into the factors of the technology acceptance model (TAM) (i.e. perceived ease of use and perceived usefulness) and their impact on actual system use through behavioural intention.Design/methodology/approachUsing the quantitative research method, a survey was conducted of the public sector universities of Punjab, Pakistan. Data were collected from postgraduate students and analysed using partial least squares structural equation modelling.FindingsThe findings showed that the factors of KM with the integration of TAM significantly impact the acceptance of digital resources. The study’s hypotheses are all supported, and the findings demonstrated that knowledge acquisition, knowledge sharing, knowledge application and knowledge protection significantly influenced perceived usefulness and perceived ease of use, and that these factors are positively correlated with behavioural intentions to use digital resources.Originality/valueThis study has considerable significant implications for policymakers, developers and practitioners in designing digital resources. This study will also assist librarians to discover areas for development that may enhance the use of digital resources among users

Designing Knowledge Management to Sustain Differentiation Business Strategy at CV Fel & Co International

This research addresses CV Fel & Co Company’s knowledge management challenges in achieving high product quality and uniqueness in the leather goods industry. This thesis focuses on Designing a Knowledge Management (KM) framework to address the knowledge-related challenges faced by CV Fel & Co International, a renowned fashion industry company specializing in producing high-quality leather-based fashion products under the brand name Kias Leather. A combination of primary and secondary data collection methods is employed to achieve this objective. The primary data collection method involves conducting interviews with the CEO and production manager of CV Fel & Co International, providing valuable insights into the specific knowledge-related issues faced by the company. The secondary data is obtained from reliable sources such as industry reports, scholarly articles, and websites, enabling a comprehensive understanding of the knowledge management landscape in the leather goods industry. This research adopts a goal-oriented analysis approach, focusing on the KM Process model, which encompasses People, Process, and Technology. The KM Process model provides a framework for effectively managing knowledge within the organization. By aligning people, processes, and technology, CV Fel & Co International can foster a culture of knowledge sharing and collaboration, facilitating the creation and utilization of valuable knowledge assets. Additionally, the SECI model is utilized to support the conversion of explicit knowledge into tacit knowledge, promoting continuous learning and innovation within the company, by conducting a comprehensive analysis of CV Fel & Co International’s issues from the company like the increasing number of competitors so the company needs a breakthrough to sustain a differentiation business strategy, human resources require special expertise and can be categorized as old and have knowledge needs and gaps, and lack of standard operating procedures (SOP). A KM Roadmap is developed as a comprehensive solution based on a thorough analysis of CV Fel & Co International’s challenges. The KM Roadmap outlines strategies and actions to effectively manage knowledge and bridge the identified knowledge gaps. It emphasizes the importance of aligning people, processes, and technology to support knowledge sharing and collaboration within the unique context of the leather goods industry. The KM Roadmap includes initiatives such as establishing communities of practice, implementing knowledge-sharing platforms, conducting regular knowledge transfer sessions, and fostering a learning culture through training and development programs. Furthermore, this thesis proposes integrating knowledge management practices into CV Fel & Co International’s business processes, specifically focusing on product design and execution and employee training and development. By embedding knowledge capture, dissemination, and utilization within the existing processes, CV Fel & Co International ensures that knowledge about design trends, branding strategies, and customer preferences is systematically incorporated into product development and production, enhancing the brand’s reputation and customer satisfaction. This integration enables the seamless flow of knowledge throughout the organization, improving product quality, increased innovation, and enhanced employee expertise. In conclusion, this research proposes a comprehensive KM framework, supported by the KM Roadmap and integrated business processes, to address the knowledge management challenges faced by CV Fel & Co International. By implementing these solutions, the company can enhance its knowledge management practices, bridge knowledge gaps, and sustain a differentiation business strategy in the competitive leather goods industry.

Digital entrepreneurship: towards a knowledge management perspective

PurposeThis study aims to present the critical role of knowledge management in digital entrepreneurship by reviewing the literature and proposing future research directions for digital entrepreneurship and knowledge management through an interdisciplinary framework.Design/methodology/approachThis study uses the Derwent Data Analyzer to identify and visualise the extant studies on digital entrepreneurship. This study qualitatively analyses the hot topics and trends in digital entrepreneurship research to understand digital entrepreneurship from the knowledge management perspective.FindingsThe authors found two dominant trends in existing research: logical and development trend exploration at the theoretical background and empirical research at the practical dimension. To understand digital entrepreneurship from a knowledge management perspective, the authors summarised the theoretical logic and internal and external reasons why knowledge management is required in digital entrepreneurship. Moreover, the authors analysed the new features of digital entrepreneurship under five aspects: management concept, object, content, scope and focus. The authors concluded that existing research on integrating knowledge management and digital entrepreneurship is primarily conducted from three perspectives: technology, platform and ecosystem.Originality/valueThis study provides an in-depth analysis of digital entrepreneurship from a knowledge management perspective. The findings can further promote the theoretical research and practical development of digital entrepreneurship and knowledge management. This approach provides a new direction for interdisciplinary study and enriches entrepreneurship research. In addition, this study proposes a knowledge management framework for digital entrepreneurship research. The findings contribute to understanding the role and function of knowledge management in digital entrepreneurship.

Integrating Knowledge Management and Governance for Innovation Outcomes: A New Framework for Managing Innovation in a Project Environment

AbstractOrganisational competitive advantage is highly dependent on the ability to innovate and knowledge is a key component of innovation. Our understanding of knowledge processes and mechanisms is an emerging field of study and consequently, an understanding of how micro-level, knowledge governance mechanisms can assist in managing knowledge for innovation has received limited attention in the literature. Projects have additional difficulty being innovative due to their temporality and focus on their immediate performance rather than on building capability. This qualitative case study research explores the role of knowledge governance in contributing to better management of knowledge in the context of an innovation project in a government-owned, water utility in Queensland, Australia. This research contributes to the existing literature by bringing together insights from knowledge management, knowledge governance and innovation frameworks which culminated in a new knowledge-based innovation framework. The research further demonstrates how two knowledge governance mechanisms—trust and energy—influence the innovation process to make innovative outcomes more effective through the creation and transfer of new knowledge from projects to the organisation.

Eclectic-Procedural Innovation Management Approach with Regard to Community Management Within the German-Language Gaming Industry

The gaming industry faces several challenges, such as inefficient development processes, shorter product lifecycles, dynamic knowledge, high staff turnover, and heterogeneous IT structures. To address these issues, this paper proposes an eclectic-procedural innovation management approach that integrates knowledge management methods and processes for the optimal cybernetic systematization of innovation management elements within the German-language gaming industry. Drawing on the human, organizational, and technological (HOT-Fit) model, this approach aims to enable gaming companies to analyze, assess, and optimize innovation management using agile and adaptive methods. The concept also involves modifications to the matrix organization and emphasizes the importance of open innovation, community management, and promoter functions. The eclectic approach offers several benefits, including greater efficiency in innovation processes, reduced risks, the exploitation of knowledge and innovation potential, and the preservation of innovation power. However, a shift in mindset is required to systematically implement this approach in a process-oriented manner, focusing on improving organizational skills and adapting to the changing landscape of the gaming industry.