International Journal of Knowledge Management

The study proposes and empirically validates a theoretical model suggesting that employee competency development during the onboarding period largely depends on the availability of knowledge sharing (KS) channels (both digital and traditional), on the KS ...

The knowledge-sharing, decision-making model can not only combine the two processes but also improve the teaching quality and students' learning achievements. However, the existing knowledge-sharing, decision-making model has many shortcomings. Therefore,...

Yemeni banks are generally performing well in terms of their operations, but their performance needs to be enhanced and developed using knowledge management as there haven't been many studies done yet on them. This article, therefore, aims to investigate ...

This exploratory study delves into three private international schools' knowledge management (KM) practices amidst the Covid-19 pandemic. Utilizing Gold et al.'s KM framework, the research examines the applicability of this model in the unique industrial ...

Despite the increased efforts of organisations to implement knowledge management (KM) initiatives, many fail. Performing a knowledge audit before embarking on KM activities increases the probability of success. In this interpretive case study, the ...

Knowledge management system infrastructure is at the forefront of knowledge management practice. Knowledge must be identified, captured, and shared to improve KM practices; however, little is known about the successful implementation of KMS ...

Many companies look for novel ways to trace their operational sustainability. The application of AI to analyze and make sense of the big data the company holds represents one promising approach for this aim. The authors study how one can set and design ...

Research on university – industry collaboration ideologies, operations and activities for improvement of effective cooperation in industry 4.0 era. Utilizing over 65 years of experience on effective collaboration, inc. advisory notes, experiences, proven ...

Abstract The purpose of this study was to examine how the framework of administrative tethering (AT) provides important guidance and insight at the organizational level to support a strategic management mechanism to ameliorate pressing political, social, ...

This study delves into the intricate relationship between Absorptive Capacity, Organizational Learning, and the Learning Organization. It introduces Absorptive Capacity 4.0, a dynamic framework that traces an organization's evolution towards a ...

A growing number of business processes can be characterized as knowledge-intensive. The ability to speed up the necessary transfer of knowledge between individuals in business processes can lead to a huge competitive advantage, for instance, if ...

The increasing use of blockchain technology in various industries has generated a significant amount of interest among researchers and practitioners. This study aims to determine a predictive classification model of technological service innovation ...

In an era increasingly defined by environmental challenges and technological advancement, the role of communication design in promoting low-carbon sustainable development has become pivotal. This article explores how communication design serves as a ...

The sports industry occupies an important position in China's national economy, and the sports event industry is its core industry, and its role in regional economic development has received more and more attention from all parties. This paper takes ...

As technology advances in the twenty-first century, innovative approach has been identified for developing skills on artificial intelligence (AI) technologies among students. Hence, to continuously improve the knowledge acquisition process, it is ...

This research systematically investigated and optimized project management practices by assessing the perspectives of employees. It analyses the impact of team collaboration, operational efficiency, risk management, and adaptability in achieving ...

In the field of physical education, the specialized teaching of physical education in colleges and universities is gradually becoming the focus. This study aims to build an evaluation index system of specialized physical education teaching effect in ...

Under the concept of “dual-carbon development”, optimising the spatial structure of urban life, perfecting the management system of public transport services, realising the spatial optimisation of urban transport, minimising carbon emissions and reducing ...

This article explores the relationships between the dual network embeddedness of subsidiaries (group internal network embeddedness and group external network embeddedness) and subsidiary innovative performance in emerging economies within the context of ...

Due to increasing digitalization, employees need to use an increasing number of corporate IT systems. Digital Adoption Platforms (DAPs) recently address the resulting need for increased learning and skills to master such systems. Although of great ...

As work contexts dynamically evolve, enhancing managerial human resource practices (HRP) becomes crucial to foster employee innovative behavior (IB) while promoting positive knowledge usage (KU) and sharing (KS). This paper examines their latent ...

This paper measures the public library construction (PLC) level and the human capital investment (HCI) efficiency of 31 provinces in China from 2011 to 2021, tests the linkage effect and coupling coordination between PLC and HCI. The results show that: 1)...

Knowledge tracing is effective in modeling learners' knowledge levels to predict future answering situations based on their past learning history and interaction processes. However, current methods often overlook the impact of knowledge point ...

A cross-language attribute-level sentiment analysis model (TinyBERT-GCN) based on TinyBERT and GCN is proposed to address the problems of existing cross-language attribute-level sentiment analysis methods, such as insufficient text feature extraction and ...