Knowledge Management Research Articles

The mediating role of knowledge management practices and balanced scorecard in the association between artificial intelligence and organization performance: evidence from MENA region commercial banks

The mediating role of knowledge management practices and balanced scorecard in the association between artificial intelligence and organization performance: evidence from MENA region commercial banks

Digital strategic collaborations in agriculture: a novel asset for local identity enhancement toward Agrifood 5.0

PurposeThe aim of this research is to elucidate the correlation between open innovation, digital strategies and networking in enhancing agricultural enterprises within the new perspective of Agrifood 5.0. As such, it contributes to making businesses more competitive, especially in the Italian agricultural sector, where small and medium-sized enterprises are highly fragmented. Numerous studies have asserted that the competitiveness of actors operating within a specific territory is closely linked to local identity and image enhancement. Agricultural organizations are undergoing a profound transformation, with technological assets emerging as catalysts for new synergies. Advanced technologies such as robotics, the Internet of Things (IoT) and automation (AI) are emerging as differentiating elements capable of further advancing the agricultural sector, transitioning it from Agrifood 4.0 to Agrifood 5.0. The empirical analysis of the research shows a positive correlation between a collaborative attitude and a propensity for innovation. Indeed, the data demonstrated that digital strategies and open innovation positively influence competitiveness in agricultural SMEs.Design/methodology/approachThe methodology employed in this study is mixed, incorporating both qualitative and quantitative approaches. The quantitative aspect involves analysis of the dataset from the Italian Statistical Institute (ISTAT) through logistic regression, while the qualitative component entails analysis of semi-structured interviews conducted with a sample of 174 agricultural cooperatives in southern Italian regions (Campania). This approach allows for a comprehensive understanding of the research topic, capturing both numerical trends and nuanced insights from interviews.FindingsAfter analyzing the data from the 7th General Census of Agriculture conducted by ISTAT, a clear understanding of the sector has emerged, revealing several potential research avenues. It is evident that innovation in the agricultural sector is often driven by the largest and best-capitalized production entities, primarily located in Italy. Conversely, smaller agricultural entities can benefit from networking as new technological assets act as catalysts for new synergies, innovation and competitiveness.Practical implicationsEnhancing the relational contribution within the network and humanizing a fragmented sector are crucial elements for promoting open innovation. Network structuring facilitates the transmission of managerial knowledge, contributing to an overall increase in the intellectual and relational capital of the agricultural sector. These factors, combined with open innovation, enhance the competitiveness of individual firms and elevate the brand of the entire sector, creating a conducive environment for transitioning toward Agrifood 5.0. This transition is characterized by increased interconnection, continuous innovation and overall prosperity. Specific studies on this topic are lacking in Italy, particularly in the southern regions. Therefore, this contribution focuses on investigating the Campania region.Originality/valueThe novelty of this study lies in its investigation of the relationship between agricultural enterprises and innovation in the context of enterprises networking strategies (i.e. associationism and/or cooperation), promoting competitiveness. The limitations of this study are related to the dimension of the sample selected and its relationship with other productive sectors.

Utilizing blockchain to enhance project management information systems: insights into project portfolio success, knowledge management and learning capabilities

PurposeThis paper explores how blockchain technology can enhance information quality within project management information systems (PMIS), thereby positively affecting knowledge management, learning capabilities and project portfolio success.Design/methodology/approachWe employ a literature review and a theory-based approach to develop a conceptual framework and set of propositions that integrate key principles from blockchain technology, project management and dynamic capabilities theory. Subsequently, a focus group is conducted to refine our propositions, providing insights and examples demonstrating the potential value of blockchain in project management.FindingsThe findings suggest that blockchain significantly impacts the information quality within PMIS. This improvement in information quality enhances traceability, reliability and security of project data, facilitating better decision-making and governance. The focus group revealed blockchain’s benefits in managing confidential data and streamlining knowledge sharing processes, ultimately contributing to project portfolio success.Originality/valueThis research offers a novel conceptual framework and original insights into the application of blockchain in project management, particularly within the context of Industry 4.0, paving the way for future research on digital transformation in project management.

Intelligent Development, Knowledge Breadth, and High-Tech Enterprise Innovation: The Moderating Role of Knowledge Absorptive Capacity

Innovation serves as the cornerstone for high-quality development in high-tech enterprises, with intelligent development emerging as a central aspect of innovation efforts. However, how intelligent development promotes the innovative development of high-tech enterprises is still a topic of continuous debate and exploration. By integrating enterprise innovation theory and knowledge-based theory, this paper constructs a theoretical framework to examine the influence of intelligent development on high-tech enterprise innovation. Through an analysis of 694 listed high-tech enterprises on China’s manufacturing A-share market from 2013 to 2021, we empirically investigated the effects of mediating mechanisms and moderating effects of intelligent development on high-tech enterprise innovation. The results show that intelligent development significantly boosts high-tech enterprise innovation. Knowledge breadth plays a mediating role in the relationship between intelligent development and high-tech enterprise innovation, indicating that intelligent development promotes high-tech enterprise innovation by enhancing knowledge breadth. Additionally, knowledge absorptive capacity can strengthen the impact of knowledge breadth on high-tech enterprise innovation, that is, the stronger the knowledge absorptive capacity, the greater the impact of knowledge breadth on high-tech enterprise innovation. The conclusion of this paper provides a theoretical basis and practical guidance for high-tech enterprises regarding how to better use intelligent technology for innovation. Relevant enterprises can strengthen their knowledge management and mobility strategies and fully utilize the potential of intelligent technology to achieve more innovative and competitive development.

Emotional intelligence as an antecedent of employees’ job outcomes through knowledge sharing in IT-ITeS firms

PurposeJob performance literature has evolved to address the aspects of performance thinking where knowledge sharing (KS) and emotions on the job are considered important. This study evaluates the influence of emotional intelligence (EI), mediated through KS, on job outcomes measured as job performance (JP) and job satisfaction (JS).Design/methodology/approachStructural equation modeling methods are used to investigate the degree of influence of EI on job outcomes through KS. The data for analysis has been collected from 227 project managers at Information Technology-Information Technology Enabled Services (IT-ITeS) firms.FindingsThe findings suggest that the EI has a positive and significant effect on KS. This implies that employees with high EI scores are more involved in the KS behavior. Furthermore, the findings suggest that KS partially mediates the relationship between EI and JP, and it fully mediates the relationship between EI and JS.Research limitations/implicationsFor KS, the answer lies in the recruitment and retention of emotionally intelligent persons rather than investing only in information technology. The study enhances the literature on knowledge management, sharing and EI.Practical implicationsThe proposed research model suggests a successful infusion of KS within IT-ITeS firms. Knowing the EI of employees and, accordingly, changing their behavior towards sharing knowledge is probably a distinctive, most efficacious and essential strategy for augmenting job outcomes.Originality/valueThe study establishes the role of KS in translating the impact of EI on JP and JS. Furthermore, it contributes a novel framework of KS behavior.

MAKG: A maritime accident knowledge graph for intelligent accident analysis and management

With the increasing frequency of human activities at sea, maritime accidents are occurring more often. Analyzing and mining maritime accident cases can help uncover the causal mechanisms behind these incidents, thereby enhancing maritime safety. As an emerging technology for knowledge management and mining, knowledge graphs offer significant support for the storage, reasoning, and decision-making processes related to maritime accidents.In this study, we established a knowledge graph construction and application framework for maritime accidents to facilitates the extraction and management of maritime knowledge from unstructured texts. First, 581 accident reports released by the China Maritime Safety Administration over the past decade (2014–2023) were used as the data basis for analysis and construction of the maritime accident ontology structure using the seven-step method, which comprises 8 entity types, 8 relationship types, and 18 attribute entity types. Second, We proposed MBERT-BiLSTM-CRF-SF, a named entity recognition model based on domain pretraining and self-training, to reduce graph construction costs. This model achieved state-of-the-art performance in the maritime domain, with an F1 score of 0.910 ± 0.006, which is about 5% higher than the mainstream model. In addition, we proposed an entity alignment method based on font and semantics to refine knowledge further. On the basis of the proposed method, we constructed a large, high-quality maritime accident knowledge graph (MAKG) system that contains 16,099 entities and 20,809 relationship instances. Finally, we reduced the complexity of applying knowledge graphs by integrating the CRISPE prompt learning framework of the large language model, and experiments on graph traversal, pattern recognition, and aggregation analysis were conducted to assess the quality of MAKG. Results demonstrate that MAKG can effectively enhance the efficiency of querying and reasoning about maritime accident information, thus providing significant support for the prevention and management of maritime accidents.

Exploring Trends in Sports Event Research (2014–2023): A Bibliometric Analysis

This study provides a comprehensive bibliometric analysis of sports event research from 2014 to 2023, using data from the Web of Science database. The research examines key trends, influential publications, prolific authors, and prevailing themes in the field. This study identifies the core areas of focus and emerging trends in sports event management, sustainability, and economic impacts through a detailed analysis of citations, co-authorship networks, and keyword co-occurrence. The results offer insights for researchers and practitioners interested in advancing knowledge in sports event planning, management, and legacy.

Mediation effect of knowledge management on the impact of IT capability on firm performance: exploring the moderating role of organization culture management.

With the development of the digital economy, a multitude of firms have embarked on the path of digital transformation through information technology (IT). Scholars have called for attention to the mediating or moderating mechanisms of IT capability on firm performance. This study argues that further exploration is needed regarding the relationship between IT capability and firm performance. This study obtained questionnaire data from 152 IT senior managers of randomly selected manufacturing firms. The data was used to empirically test the proposed hypotheses using hierarchical regression analysis. The results showed that IT capability has a positive effect on firm performance directly and indirectly via knowledge stock and knowledge process. Moreover, organizational culture management moderates the relationship between knowledge stock/knowledge process, and firm performance. This study proposes the "resources-knowledge-performance" mechanism, which sheds light on the "black box" of how IT capability affects firm performance. This enriches the research on knowledge from different perspectives and the the research on organizational culture by discussing the moderating role of organizational culture management in the relationship between knowledge stock/process and firm performance. Our research also has important managerial implications to firm.

Unlocking Potential How a Knowledge Management Environment Sparks Employee Motivation

Unlocking Potential How a Knowledge Management Environment Sparks Employee Motivation

Pelatihan Manajemen Bencana Dengan Table Top Disaster Simulation: Perintisan Desa Siaga Bencana di Kabupaten Musi Rawas Sumatera Selatan

Minimizing the impact that occurs due to disasters, and preparing for the possibility of a disaster occurring is the most important thing that must be done, including preparing human resources to be ready to face the disaster itself. One form of preparing society to be able to respond well to disasters is by providing good education and training on how to respond to disasters. Table Top Disaster Simulation is an effective education and training method for preparing human resources. This activity aims to increase community knowledge about disaster management as part of the Disaster Preparedness Village pilot in Air Satan Village, Musi Rawas Regency, South Sumatra. This activity is community service using education and training methods with a total of 33 participants. Participants' disaster management knowledge was measured before and after attending education and training using a questionnaire. The evaluation results showed that there was an increase in knowledge before being given the training with the average knowledge score of participants being 44.71, while after being given the training the average knowledge score was 78.32. After conducting education and training using tabletop disaster simulation, public knowledge about disaster management increased. It is hoped that after this pioneering disaster preparedness village activity, education and training will continue to be carried out on other factors in responding to disasters such as training on handling injuries for lay people, training on handling drowning victims for lay people, and so on.

Unlocking value: exploring digital transformation's influence on knowledge management of national football associations

ABSTRACT Research question There is a lack of understanding of the role of digital transformation (DT) on the management of knowledge in sport organisations. This study addresses the relationship between DT and knowledge management (KM) and looks at how digital change affects KM processes, the value creation possibilities of generating and applying digital knowledge, and how the opportunities for staff in sport organisations to generate new knowledge are evolving. Research methods An exploratory qualitative study was conducted through semi-structured interviews with 82 executives from 43 different national football associations (NFA). The participating NFA were spread across all six continental associations (AFC, CAF, OFC, CONCACAF, CONMEBOL, UEFA). Results and findings Digital KM enables NFA to better understand fan and consumer behaviour, adapt offers, and make informed decisions. Digital KM is critical to optimising organisational performance, effectively engaging stakeholders, and driving innovation within the NFA. Human resources at all levels of the organisation and their attitudes, skills, and embeddedness in the change process are key success factors for digital KM. In the sports performance sector talent identification, talent development, and match analysis benefit considerably from digital KM. Implications NFA should invest in digital infrastructure, data analytics, and staff training to improve their digital KM. This enhances their capabilities for digital value creation and can thus promote their sustainable growth which will benefit football development.

AI-based green technology implementation simulation for achieving carbon neutrality: exploring the role of subsidies and knowledge management.

This study investigates the role of green technology implementation (GTI) based on artificial intelligence (AI) at the household level to achieve carbon neutrality by addressing gaps in the existing research. The research focuses on understanding how education on green consumption preferences, green invention and emission impacts can optimally influence AI-based GTI decisions. Through behavioural analysis at the household level, this study quantifies the effects of education and preferences on emissions and proposes subsidies as accelerators for carbon-neutral transitions. Furthermore, the study employs regression analysis and simulation-based optimisation, which are then validated against prior methodologies, with a focus on Punjab, Pakistan. Utilising a simple random sampling technique, approximately 1000 households were surveyed to represent the province's diverse demographics comprehensively. Findings reveal that higher education levels correlate with less enthusiasm for AI-based GTI. Simulations measured optimal subsidy levels by striking a balance between encouraging green behaviour and technological adoption. By integrating diverse factors and AI-based GTI optimisation, this study defines important thresholds for education and subsidies, thus highlighting their pivotal role in advancing AI-based green technologies and sustainable household practices. This research significantly enhances the understanding of the complex relationship between AI-based GTI decisions and educational influences, thereby contributing to the advancement of environmental sustainability.

A Guideline Enabling Knowledge Managers to Communicate Better with Business Managers

Aligning Knowledge Management (KM) with overarching business strategies is considered as important for organizational success and sustainability. But this crucial element is often missing in the implementation and operation of KM. This paper explores the concept of "business alignment" within the context of KM, elaborating its critical role in enhancing collaboration, minimizing errors, and supporting optimal outcomes across the enterprise. We suggest a comprehensive definition of KM alignment, where KM activities are strategically integrated with business objectives, ensuring visible and measurable benefits to employees and executives. The research addresses key questions such as what constitutes an organization and how KM can facilitate its survival and growth. An organization is not merely a standalone entity but a collective endeavor that thrives on managing internal and external relationships. We argue that the effective alignment of KM with business strategies ensures that these relationships are optimized, thereby enhancing organizational resilience and adaptability. This holistic perspective visualizes the interconnected nature of businesses and highlights the essential role of KM. Our approach involves a systematic examination of business relationships and their alignment with KM practices. We analyze one case study from the construction industry, illustrating how strategic KM initiatives contribute to their sustained success. Additionally, we propose a set of Key Performance Indicators (KPIs) derived from real-world scenarios, linking them to specific business needs and challenges. These KPIs serve as a roadmap for C-level managers, guiding them in integrating KM into their strategic frameworks. The findings underscore the value of KM in mitigating risks associated with poor relationship management. We provide a process and actionable insights for business leaders on leveraging KM to foster innovation, streamline processes, and enhance overall performance. The paper concludes with practical recommendations for implementing KM solutions tailored to different organizational maturity levels and industry contexts.

Innovative Approach: Leveraging Design Thinking for Enhancing Knowledge Sharing in Knowledge Intensive Firms

Purpose: This research delves into the intricate challenges of knowledge management (KM) within technical departments of knowledge-intensive firms (KIFs), with a specific focus on preserving critical knowledge amidst employee turnover. Recognizing the four main components of KM—people, process, content/IT, and strategy—and emphasizing the paramount importance of individuals in KM alongside the human-centric approach of design thinking (DT), the study aims to enhance KM processes, particularly knowledge sharing (KS), utilizing DT to fortify organizational success. Methodology: This study utilizes mixed method action research, which includes in-depth interviews and observations, immersion and questionnaire to collect employee insights. Thematic analysis is utilized to identify key challenges. Employing the DT framework, the research progresses through problem definition, ideation, prototyping, testing, and iterative refinement stages, following the structured steps of DT. Findings: Thematic analysis identifies persistent KM challenges, encompassing individual, organizational, and technology barriers. These challenges are effectively addressed through innovative solutions developed with DT principles, leading to tangible enhancements in KM processes. Iterative cycles of prototyping and testing further refine these solutions, particularly in facilitating KS among employees. Originality: This research demonstrates the efficacy of DT in addressing KM challenges within KIFs. Through prioritizing human-centric problem-solving, DT's iterative and learning-oriented nature boosts organizational efficiency and stimulates innovation. The direct engagement of end-users in solution design further highlights the cost-effectiveness of this approach, ultimately enhancing KM outcomes. Contribution: The study presents solutions tailored to the unique challenges of KM, transferable not only within the technical department but also across KIFs. Given the prevalence of unsuccessful KM implementations, the human-centric ethos of DT emerges as a pragmatic and economical approach for diagnosing and mitigating KM obstacles. Nonetheless, the study highlights the adaptability of DT in addressing specific KM issues, offering a pathway for other departments to tackle their KM challenges effectively.

Impact of Knowledge Management on Industrial Performance: Evidence from Nepalese Industrial Estate

Background: Knowledge management is crucial for industrial success and continuity, playing a vital role in the management of industries. Effective knowledge management can lead to improved performance and competitive advantage. Objective: This study aims to understand the impact of knowledge management on industrial performance in the Kathmandu Valley, Nepal, focusing on both tacit and explicit knowledge. Method: The study is grounded in the Organizational Knowledge Creation Theory and follows an explanatory research design. A total of 173 managers from various industries within Kathmandu Valley were interviewed using a structured questionnaire facilitated by the Kobo Toolbox. The data were analyzed using Structural Equation Modeling (SEM) with SPSS and AMOS software to examine the relationship between knowledge management practices and industrial performance. Result: The findings reveal that both tacit and explicit knowledge have a significant positive impact on organizational performance. The ability to rapidly gather, document, and share information within an organization enhances industrial performance. Conclusion: The study concludes that effective knowledge management is essential for maximizing industrial performance in Nepalese industrial estates. The emphasis on a culture of information documentation and sharing within organizations can lead to substantial performance improvements. Paper Types: Research Paper Key Words: Knowledge management, organizational performance, industrial estates, SEM, Kathmandu Valley JEL Classification: D83, L25, P27

Context‐driven implementation strategies: Exploring three approaches to implement a lean capability framework within a global production company

AbstractThis paper explores global implementation of capability building projects as part of an corporate lean programme. The aim is to identify the core parameters in global implementation of complex knowledge in various contexts within the corporation. The empirical research investigates the global implementation of a lean capability project in three regional clusters within a large pharmaceutical multinational production company. The findings indicate that contextual situations in regional clusters, for example, maturity levels, national culture, and previous experiences, influence the design of the implementation approaches embedding knowledge management principles in various ways. Three types of implementation approaches (horizontal, parallel, and delegated) are identified, which highlights the strategically different pathways to realise new frameworks for knowledge management. This study shows how adjustments to contextual situations influence the implementation process and identifies various hallenges with various approaches that may hinder the execution of lean strategy. This paper puts forward five identified implementation parameters that could guide future research and knowledge management practitioners in opex, HR, and learning and development functions.

Digitizing Success: Evaluating the Influence of Digitalization on Business Performance, Innovation Capabilities and Knowledge Management in a Water Utility Company in Batangas

Digitizing Success: Evaluating the Influence of Digitalization on Business Performance, Innovation Capabilities and Knowledge Management in a Water Utility Company in Batangas

Knowledge management process and worker’s performance: role of smart technology and training/ skill development

The objectives of this study are to examine the impact of Knowledge management process on worker performance in Hail health cluster, to inspect the mediating role of smart technologies between Knowledge management process and worker performance. Further, to explain the importance of training/skill development as moderator between use of smart technologies and worker performance in the context of Hail health cluster Saudi Arabia. This study is quantitative in nature and data is collected with the help of well-developed questionnaire randomly from 302 employees working in different hospital in Hail health cluster. Smart PLs is used, for analyzing the PLS-SEM of conceptual framework. After the Analysis, this study found positive and significant relationship of knowledge management process (knowledge sharing, knowledge acquisition and knowledge utilization) with worker performance. Further, smart technologies play important role in enhancing the worker performance directly and also play mediating role between of knowledge management process (knowledge sharing, knowledge acquisition and knowledge utilization) with worker performance. Moreover, training/skill development has positive moderating role between smart technologies and worker performance. This study not only has theoretical and empirical implications but its practical implication, this study provides the open horizon for utilization, sharing and acquisition of knowledge for increasing the performance of worker in healthcare sector. Further, this study explains the smart technology mediating role to link these variables. Moreover, it is considered that training/skill development is important for utilization smart technologies for enhancing the performance of healthcare workers. Overall, this study is very beneficial for the ministry of health, administration and policy makers for development of this heath sector by boost up the productivity of employee. This study is very important in the context of health cluster of Hail. With the best of authors’ knowledge this study is one of the initial studies related to unveil the impact of knowledge management process with its important dimension such as (knowledge sharing, knowledge acquisition and knowledge utilization) with worker performance. Further smart technologies are mediator and training/ skill development is moderator.

Early-stage entrepreneurs’ communicative strategies in managing knowledge ambiguity

ABSTRACT Prior research demonstrates the importance of knowledge seeking on startup performance, but the process of accessing knowledge is less studied. Knowledge ambiguity in entrepreneurship is embedded in the complexities and interconnectedness of knowledge sources, knowledge components, knowledge transfer mechanisms, and knowledge adaptation processes. This study explores the communicative strategies entrepreneurs use to cope with knowledge ambiguity, specifically with the use of online and offline channels. Interview data were collected from 20 early-stage entrepreneurs in the knowledge-intensive industries in the New York metropolitan area. Five strategies emerged from the data: manage public visibility, optimize knowledge relevance, enhance communication efficiency, expand knowledge awareness, and access indirect knowledge. This research contributes to the knowledge of how communication and media use unfold in resource-constrained environments and to the growing literature of entrepreneurial bricolage (make do with what is at hand) in knowledge management.

Empirical Study on the Relationship between Leader–Member Exchange, Employee Trust, and Team Knowledge Sharing

Knowledge sharing is influenced not only by the attributes of the knowledge itself and the hierarchical differences among knowledge holders but also by micro-level factors such as interpersonal communication and psychological dynamics. As the demands of the new economic environment evolve, the role of knowledge sharing among team members in knowledge management has become increasingly critical. A growing body of research emphasizes the importance of sharing knowledge resources as a means of gaining strategic advantages in enterprises. Previous studies have shown that leadership behavior plays a crucial role in fostering knowledge sharing among team members. However, there is limited research on the specific pathways and mechanisms through which leadership behavior influences knowledge sharing. Additionally, existing research lacks a comprehensive examination of the structure and measurement methods of leader–member exchange (LMX), as well as its impact on employee work outcomes. This study addresses this gap by examining trust relationships through the lenses of social identity and emotional interaction, with trust serving as a mediating variable to explore the impact of leader–subordinate interactions on knowledge sharing behavior. Drawing on the relevant literature, the study focuses on 358 employees, investigating the relationship between LMX as the independent variable, team knowledge sharing as the dependent variable, and employee trust as the mediating factor. The research findings are as follows: (1) The quality of the LMX relationship significantly influences employees’ team knowledge sharing; higher-quality LMX relationships are associated with increased knowledge sharing among subordinates. (2) Employee trust in both leaders and colleagues has a substantial impact on team knowledge sharing, with higher levels of trust positively affecting knowledge sharing behaviors. (3) Employee trust serves as a mediating factor in the relationship between LMX and team knowledge sharing. This study delves into the dynamics between LMX, team knowledge sharing, and trust, providing practical recommendations for strengthening these relationships.