Knowledge Sharing Research Articles

Exploring the Impact of Digital Supply Chain Integration on the Firm’s Performance with Mediation and Moderation Role of Knowledge Sharing and Environmental Turbulence

The Industrial 4.0 IoT, AI, blockchain and big data analytics led supply chain digitalization revolutionized the operational efficiency, decision-making and OP (operational performance) in the supply chain. This research explores the effect of DSCI on OP, which utilizes knowledge sharing as a mediator and environmental turbulence (ET) as a moderator. In a study comprising 300 supply chain executives across the industries, the researchers leverage Smart PLS’s SEM for testing their predictions. These results suggest that DSCI increases OP and knowledge sharing mediates the effect. Additionally, ET dampens the DSCI and OP correlation suggesting that DSCI works better in environments with market shocks, geopolitical uncertainties and technological disruption. This work adds value to the digital supply chain literature by exploring how collaborative behaviors and outside uncertainty can improve organizational performance. Implications for practicality include the use of digital tools, the promotion of knowledge sharing, and the creation of approaches to dealing with disruption in the natural world. In the future, studies should look at other mediators, including supply chain agility, and moderators, including sustainability policies and technological capabilities, in order to provide a deeper understanding of digital supply chain dynamics.

A Pragmo-Semantic Analysis of Colloquial Referring Expressions: A Study in Jordanian Arabic

In language, context is described as the information that is available to participants. For effective communication, participants need to share knowledge and they may use relevant elements that help interactants share common ground, such as a definite article, a definite relative clause or a post-nominal adjective. In certain contexts, a mismatch between the speaker’s target referent and the hearer’s interpretation occurs, which leads to "uncertain referring expressions” and causes distraction for the receiver. This study investigates the role of Givenness Hierarchy Theory in shaping referring expression (RE) choices in Jordanian Arabic (JA) and explains the potential confusion beyond using such REs. Also, the notion of tacit knowledge was employed to analyze the assumed shared knowledge in using such REs. Analysis of the naturally occurring discourse revealed that speakers used indefinite phrases for given referents, such as demonstratives and impersonal items, mitigating religious expressions, the dummy RE: ʃu: ismo, and how are you. The findings also showed that there is an ambiguity in using such expressions, which can be due to flouting the maxim of quantity. In addition, it was noticed that speakers tacitly know more than what they say. The findings contribute to understanding how cognitive principles influence RE selection and extend the applicability of Givenness Hierarchy to Arabic spoken language. The study also identifies potential areas for future research, including the impact of gender and broader cross-linguistic comparisons. Despite limitations in data size, this research highlights significant theoretical and practical implications for linguistic studies on referentiality.

Systematic Literature Review : Importance Of Knowledge Sharing on Organization (Antecedents & Consequences

Sharing knowledge (Knowledge Sharing) is considered important to encourageemployee behavior to improve employee performance and influence the results that leaders want fortheir members, for this reason the author concentrates on finding answers to what factors influencea person's decision to share their knowledge with colleagues. This research examines theoriesrelated to knowledge sharing behavior, by concluding 37 journals that discuss knowledge sharing.The author concludes that there are many factors that influence knowledge sharing behavior. Theresearch started by searching for data on journal banks such as Scopusm, Emerald, ScienceDirect,Google Scholar, and other supporting websites, after that the author studied and grouped theantecedents of this knowledge sharing behavior, and concluded that knowledge sharing behaviorwas discussed in 5 different journals as an antecedent of knowledge behavior. This sharing andbehavior is influenced by several factors such as organizational commitment (OC), ethicalleadership (EL). Transformational Leadership, and Trust, as well as knowledge sharing research have been widely researched in various organizational sectors, especially profit organizations.

The Relationships between Cultural Intelligence and Innovative Work Behaviour: The Impact of Knowledge Sharing

This study examines the relationships between cultural intelligence and innovative work behavior, specifically focusing on the role of knowledge sharing. The primary objective is to elucidate how various dimensions of cultural intelligence—cognitive, metacognitive, motivational, and behavioral—impact innovative work behavior in a multicultural workplace. A quantitative methodology was employed, utilizing a survey of 316 expatriate employees from Chinese foreign trade companies. Data analysis was conducted using WarpPLS (version 7.0) for path modeling and bootstrapping techniques. The findings indicate that all four dimensions of cultural intelligence are positively related to innovative work behavior. Additionally, knowledge sharing significantly moderates the relationship between motivational cultural intelligence and innovative work behavior. This research enhances the understanding of how cultural intelligence and knowledge sharing promote innovation, underscoring their significance in improving organizational effectiveness within diverse cultural contexts.

The Influence of Intellectual Capital on Innovation Performance: The Mediating Role of Knowledge Sharing and Innovation Culture (A Study on Startups Fostered by UNS)

The Influence of Intellectual Capital on Innovation Performance: The Mediating Role of Knowledge Sharing and Innovation Culture (A Study on Startups Fostered by UNS)

Determinants that influence cargo performance in the airport industry with knowledge sharing and knowledge management as mediating variables

As one of the busiest airports in the world, organizational performance is the main focus. Problems that occur in organizations are many employees who complain about their work, employees who cannot fully comply with applicable regulations and policies, many employees who often come late to the office and do not comply with working hours according to the work times determined by the company. This research aims to analyze and test the influence of Quality of Work Life (QWL) and Knowledge Management on Organizational Citizenship Behavior which is mediated by Job Satisfaction, moderated by Knowledge Sharing and Self Efficacy at Angkasa Pura. The population in this research was Angkasa Pura Indonesia employees, totaling 151 people. The sample used was 110 employees which was calculated based on the Slovin formula. The sampling method uses convenience sampling. The data collection method uses a survey method, with the research instrument being a questionnaire. This research method uses the Partial Least Square (PLS) data analysis method using SmartPLS 3.0 software. The research results show that the quality of work life has no effect on organizational citizenship behavior. Knowledge management has a positive and significant effect on organizational citizenship behavior. Quality of work life and Knowledge management has a positive and significant effect on job satisfaction. Job satisfaction has a positive and significant effect on organizational citizenship behavior. Job satisfaction is unable to mediate the influence of quality of work life on organizational citizenship behavior. Job satisfaction is able to partially mediate the influence of knowledge management on organizational citizenship behavior.

Knowledge Sharing and Capacity Development to Promote Early Career Ocean Professionals in Small Island Developing States: The SmartNet Approach

Given the challenges Small Island Developing States (SIDS) face in achieving ocean sustainability, the Barcelona Statement issued after the 2024 Ocean Decade Conference identified further investment in capacity development of SIDS and other underrepresented groups as one of the high-priority crosscutting issues (https://oceanexpert.org/​document/34098). The statement calls for transforming international organizations by expanding existing capacity development services beyond their conventional geographical areas.

Knowledge Sharing Model Based on Collaborative Learning Organization in Vocational Education and Industry

Knowledge Sharing Model Based on Collaborative Learning Organization in Vocational Education and Industry

Does Trust-induced Knowledge Sharing Indeed Enhance Organizational Performance The Moderating Role of Organizational Culture

Does Trust-induced Knowledge Sharing Indeed Enhance Organizational Performance The Moderating Role of Organizational Culture

Adversarial Attacks Against Shared Knowledge Interpretation in Semantic Communications

Adversarial Attacks Against Shared Knowledge Interpretation in Semantic Communications

Transitioning from Teaching to Mentoring in Medical Sciences.

The transition from traditional teaching to mentoring in medical education is urgently required to create future-ready physicians, researchers, and medical teachers in India. A roadmap was drawn by the pioneers of modern medicine more than 100 years ago, who mentored and prepared the next generation of subspecialists and teachers. We need mentors rather than conventional teachers to inspire students to dream, learn, and grow. In today's world, the role of teachers transcends imparting information to foster critical thinking and contextual application of knowledge. Mentors play a pivotal role in cultivating future medical leaders through recognition, guidance, and mutual respect. Mentors guide lifelong learning and personal development. A trusting mentor-mentee relationship is critical for effective medical education, research, and professional growth. Mentoring significantly benefits residents by fostering well-being, collegiality, and professional skills. Academic mentorship results in increased publication rates, grants, career satisfaction, and retention of faculty in the institutions. With mentors, navigating academia's challenges proves manageable, impacting career trajectory. While mentoring is crucial for career advancement and personal development, there are disparities, especially for women. Formal institutional support for mentoring is essential for sustained impact. Mentor-mentee relationships in academia are evolving toward short-term, need-driven interactions facilitated by workshops during the annual professional society meetings and speed mentoring. E-mentoring offers flexible, cost-effective support transcending geographies and time zones. Identifying the right mentor is crucial for academic success, emphasizing shared knowledge, effective communication, and mutual trust. Evaluating mentoring programs remains challenging, requiring comprehensive, stakeholder-driven assessment tools.

DracoGPT: Extracting Visualization Design Preferences from Large Language Models.

Trained on vast corpora, Large Language Models (LLMs) have the potential to encode visualization design knowledge and best practices. However, if they fail to do so, they might provide unreliable visualization recommendations. What visualization design preferences, then, have LLMs learned? We contribute DracoGPT, a method for extracting, modeling, and assessing visualization design preferences from LLMs. To assess varied tasks, we develop two pipelines-DracoGPT-Rank and DracoGPT-Recommend-to model LLMs prompted to either rank or recommend visual encoding specifications. We use Draco as a shared knowledge base in which to represent LLM design preferences and compare them to best practices from empirical research. We demonstrate that DracoGPT can accurately model the preferences expressed by LLMs, enabling analysis in terms of Draco design constraints. Across a suite of backing LLMs, we find that DracoGPT-Rank and DracoGPT-Recommend moderately agree with each other, but both substantially diverge from guidelines drawn from human subjects experiments. Future work can build on our approach to expand Draco's knowledge base to model a richer set of preferences and to provide a robust and cost-effective stand-in for LLMs.

Development of the Whole Day Matters Toolkit for Primary Care: a consensus-building study to mobilize national public health guidelines in practice

Introduction Strategic knowledge mobilization efforts are needed to enhance uptake and use of the Canadian 24-Hour Movement Guidelines (24HMG), which describe optimal amounts of physical activity, sedentary behaviour and sleep each day for overall health. The Whole Day Matters Toolkit for Primary Care is an evidence-informed resource to help primary care providers (PCPs) disseminate the 24HMGs. The purpose of this study was to describe gaining consensus on toolkit components through iterative revisions to improve its utility in preparation for the September 2022 launch, and to summarize early dissemination efforts. Methods A multidisciplinary expert working group planned three modified Delphi surveys to assess PCPs’ level of agreement with toolkit components on 7-point Likert scales with follow-up prompts for ratings of 4 or less. Consensus was defined a priori as a mean of 6 or higher out of 7 and 60% or more of PCPs selecting at least “somewhat agree.” Items on which consensus was reached were removed from subsequent surveys unless they were revised. Results Twenty PCPs completed surveys 1 and 2; 15 completed survey 3. Consensus was reached on 5% (4/83), 17% (14/83) and 55% (38/69) of the items in surveys 1, 2 and 3, respectively. The number of qualitative comments decreased from 26 to 19 to 12, further indicating increasing consensus. Conclusion Items on which consensus was not gained may reflect differences in provider characteristics or settings. A coproduced dissemination strategy was enacted. Toolkit reach was evaluated at launch and 4 months later.

The Impact of Intellectual Capital and Cultural Intelligence on Innovation and Performance, with Knowledge Sharing as a Mediator in Manufacturing Companies.

Batam City has become a popular destination for individuals from outside the city seeking employment due to the numerous manufacturing companies established there, both from local and foreign sources. The success of these companies is influenced not only by the abilities of their workforce but also by how well employees adapt to their working environment. This study aims to explore whether intellectual capital and cultural intelligence impact innovation and performance within the manufacturing sector in Batam City, with knowledge sharing serving as a mediating variable for cultural intelligence. Utilizing a quantitative research approach, the study is supported by primary data collected through surveys in the form of questionnaires. The researchers employed SPSS and Smart PLS software to analyze variable data and test the hypotheses. The findings reveal the following: 1) intellectual capital has no effect on innovation., 2) intellectual capital positively affects performance. 3) cultural intelligence positively affects innovation., 4) cultural intelligence positively affects knowledge sharing. 5) knowledge sharing positively affects innovation., 6) innovation positevely affecs on performance, and 7) cultural intelligence affects innovation through knowledge sharing as a mediating variable. In relation to these results, this research is recommended as a reference for managers in improving innovation and performance

BRICS in the Digital Age: Investigating Technological Innovation and Knowledge Sharing as Catalysts for Economic Transformation

The digital age presents unparalleled opportunities for economic transformation, particularly for emerging economies like BRICS (Brazil, Russia, India, China, and South Africa). This study investigates the role of technological innovation and knowledge sharing as catalysts for economic development through a normative juridical analysis of legal frameworks. The findings reveal significant disparities in intellectual property laws, data governance policies, and innovation ecosystems among BRICS nations, hindering seamless collaboration. The study emphasizes the need for harmonized juridical mechanisms to address challenges such as digital inequality, cybersecurity threats, and geopolitical tensions. By proposing unified intellectual property agreements, standardized data governance policies, and joint R&D programs, the research offers actionable insights into fostering innovation and collaboration for sustainable economic transformation in the digital era.

Effect of Cultural Intelligence and Knowledge Sharing on Work Performance: Job Satisfaction as a Mediator

Effect of Cultural Intelligence and Knowledge Sharing on Work Performance: Job Satisfaction as a Mediator

Percepción estudiantil sobre las competencias adquiridas a través del Aprendizaje activo

The Academic Body of Engineering and Systems (InySis) seeks to expand the research capabilities and scientific productivity of university students who are studying the second and third semester of Computer Engineering and Computer Engineering respectively by applying the active learning methodology through the Getting Started colloquium in Research: Proactive University Students (CIIEUPA). Given this context, the objective of this work arises, which is to know the skills acquired by the students participating in the colloquium, which in turn is applied as an active learning methodology and is part of the evaluation criteria of the learning units. Method: The study was developed with a qualitative and descriptive nature, through observations and interviews. Results: The empirical results have shown that a significant impact was had on the academic performance of the students and on the perceived learning experience, in conclusion The CIIEUPA was essentially very positive: the students felt involved in the construction of learning and teaching paths, to those who helped with their shared knowledge. Teamwork, as well as the in-person public presentation of the final work, have helped reinforce their selfesteem, their sense of belonging to a learning community, and their positive disposition towards the discipline

PENERAPAN GOOGLE FORM SEBAGAI ALAT EVALUASI PEMBELAJARAN DI SD N 5 KEDIRI

This community service activity was carried out at SD N 5 Kediri, located at Jl. Melati No.6, Kediri, Kediri District, Tabanan Regency. The purpose of this activity was to provide socialization and share knowledge about the use of one of Google's applications, Google Forms, which can facilitate teachers in assessment or evaluation systems. Traditionally conducted in class using paper, these assessments are replaced with a sophisticated application that can be downloaded for free online. The data collection technique used in this activity was through questionnaires. The socialization activity organized by the community service team at SD N 5 Kediri, in collaboration with the teachers, received positive feedback as it helped teachers understand the use of information technology and the application of Google Forms for evaluating students' learning progress.

Read this somewhere before? A critical perspective on mobilizing evidence for improvement via communities of practice in urgent contexts

Abstract The pandemic represented a context where rapid changes to planning, organization and service delivery were undertaken to respond to an urgent and life-threatening health system problem. There was intense interest in knowledge mobilization—mechanisms that allow the timely sharing of evidence with the aim of supporting improvement—to mitigate the pandemic’s threat to public health and service delivery. In previous literature, one suggested vehicle for rapid knowledge sharing and health service innovation during the pandemic was communities of practice. The concept is that these informal networks sparked knowledge sharing in response to a novel problem; they were later joined by institutional or formal networks that were aligned with the communities of practice model. While sympathetic to this communitarian reading of the response to Covid-19, it jars with my personal experiences of rapid knowledge mobilization during the pandemic (including an experience of plagiarism of Covid-19 related research which stimulated this intervention), and it neglects more critical thinking on the topic of communities of practice. The experience of plagiarism is presented as an introductory vignette, a discursive method used in the communities of practice literature to enable links to be drawn between specific empirical cases and broader conceptual themes. In this article, three mechanisms for knowledge mobilization that have been suggested as important during the pandemic (urgency, engagement, technology) are reinterpreted from a critical communities of practice perspective. It is argued that learning driven by research communities in urgent contexts is moderated by institutional tensions, stakeholder power, and technostress.

Training Investments and Innovation Gains in Knowledge Intensive Businesses: The Role of Level Firm Human Capital and Knowledge Sharing Climate

ABSTRACTTraining investments are important in securing innovation gains. However, research on this relationship in knowledge intensive businesses is nascent. In particular, questions remain concerning what value different types of training hold for different types of innovation, and what mechanisms underpin these relationships. Drawing on human capital resources theory and collective learning theory, we develop and test a model explicating how specific and general training investments, through firm level human capital, lead to incremental and radical innovation. Additionally, we propose and investigate the supposition that the predicted positive relationships between training investments, firm level human capital, and innovation will be stronger when knowledge sharing climate is high. We test our model with two‐wave, multi‐respondent panel data gathered from 816 knowledge intensive businesses in France, Finland, Sweden, and the UK. We find that specific training is positively related to incremental innovation but not radical innovation, whereas general training is positively related to both types of innovation. With respect to firm level human capital, we find that it mediates these relationships and they are stronger when knowledge sharing climate is high. Furthermore, our analysis reveals that knowledge sharing climate moderates both the relationship between the two types of training investments examined and firm level human capital, and the indirect relationship via firm level human capital to incremental and radical innovation. We discuss the implications for theory, research, and practice.