Knowledge Management Research Articles

GREEN ECONOMY DENGAN PENGELOLAAN LIMBAH BERBASIS ILMU PENGETAHUAN DAN TEKNOLOGI PADA BANK SAMPAH 3G

Garbage remains a significant issue in Greenary Permai Bojong Gede Housing, leading to an unhealthy environment, particularly when waste collection is inconsistent. In response, the 3G waste bank initiated several waste reduction activities. However, progress has been slow due to limited waste management knowledge, incomplete equipment, low community awareness, and manual record-keeping. To address these challenges, training was provided on managing organic and plastic waste, and repurposing used cooking oil into candles and soap. Financial application training was also given to improve the recording process. The goal was to enable the community and partners to adopt a small-scale waste management system and integrate it into daily habits. Using Participatory Action Research (PAR), community members, including waste bank administrators, were directly involved in hands-on training to ensure participants understood the objectives. Since the socialization of this initiative in April 2024, significant progress has been made. Questionnaire results showed 95% of participants understood the activity's purpose. Monitoring and evaluation revealed that residents and partners have successfully adopted composting, ecobrick-making, and proper recycling of used cooking oil into candles or soap, demonstrating sustainable practices and optimal use of the financial applications.

RETRACTED ARTICLE: Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

RETRACTED ARTICLE: Application of artificial intelligence in enterprise knowledge management performance evaluation

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

RETRACTED ARTICLE: Business predictive analysis from business insurance data using business strategic planning techniques

ABSTRACT Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

RETRACTED ARTICLE: Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

From hiding to sharing: a knowledge hiding perspective on knowledge management in MNEs

Purpose Knowledge is a vital strategic resource for multinational enterprises (MNEs). As MNEs expand internationally, knowledge transfer through expatriates is a crucial part of the value proposition of outward foreign direct investment. However, this is undermined if knowledge is hidden rather than shared. Given the scarcity of research on knowledge hiding in MNEs, this paper aims to investigate this phenomenon among expatriates and develops a new framework to analyze knowledge hiding. Design/methodology/approach Survey data from 201 Chinese MNE expatriates is collected and analyzed using Partial Least Squares – Structural Equation Modeling to test the relationships between knowledge hiding, organizational practices, cultural intelligence and job embeddedness. Relevant organizational practices based on the ability-motivation-opportunity enhancing framework were identified, based on 24 semi-structured qualitative interviews which guided the quantitative analysis. Findings The direct effects of organizational practices on all types of knowledge hiding are limited. However, organizational practices’ influence on knowledge hiding is mediated by the cultural intelligence of expatriates, and this relationship is moderated by job embeddedness. Originality/value The research advances current thinking about knowledge management and outlines both theoretical and practical implications at organizational and societal levels. It explores the mechanisms for remedying knowledge hiding through organizational practices, including the interactive effects of cultural intelligence and job embeddedness among expatriates. Organizational knowledge management strategies in MNEs need to recognize cultural differences and improve job embeddedness to form the basis of successful knowledge transfer.

Innovation capabilities and performance of small and medium-sized enterprises in Indonesia

Orientation: Entrepreneurial orientation (EO), knowledge management (KM), human resource management (HRM) and knowledge sharing (KS) are important aspects in driving innovation capabilities (IC) to improve organisational performance (OP).Research purpose: The purpose of this research was to analyse the mediating effect of IC on individual EO, KM, HRM and KS and small and medium-sized enterprises (SMEs) performance.Motivation for the study: The fluctuation in batik business performance can be attributed to a lack of studies that examine the dynamic capability perspective in the context of batik SMEs in developing countries.Research design, approach and method: A quantitative approach was used for this study. A structured self-administrative measuring instrument was employed to collect the data. A non-probability sample of 297 participants was obtained. The collected data were then analysed using SmartPLS3 software.Main findings: Innovation capabilities have been verified to significantly mediate the relationship between HRM and KS on OP. Innovation capabilities mediated the relationship between KS and OP in a negative direction, whereas previous studies indicate a positive direction.Practical/managerial implications: Entrepreneurial orientation has the most prominent role in OP in batik SMEs. An EO allows business actors to optimise their creativity and innovation to develop ideas, which helps maximise the growth of OP in SMEs.Contribution/value-add: This study’s results support the concept that EO develops various skills, from managing uncertainty to tolerating risk and forming strong entrepreneurial abilities to improve business performance.

No Evolution Without Revolution: Historical Revelations for LIS Education

As the field evolves and adapts to emerging technologies and societal changes, the rich historical context and radical changes that have shaped libraries and information systems risks being overshadowed. This SIG panel presentation will feature presentations ranging from understanding the role of caucuses in the LIS field, using creative storytelling to illuminate LIS history, and how AI will impact our ability to tell, know, and make history. Following the presentations, we expect to have a conversation about how we preserve and share LIS history in the face of technological change. National Associations of Librarians of Color Provides Historical Context to Teach Social Justice Work - Long Before DEI and social justice were integrated into statements, core principles, standards, or competencies for LIS education, there were efforts conducted by BIPOC library leaders who moved the needle in the profession by establishing professional associations that represented their communities. This presentation makes the connection between diversity efforts in LIS history and LIS pedagogy, by proposing the use of the specific historical context of social movements to substantiate and inform the social justice work that current LIS graduates will encounter. Demystifying the Past to Examine the Present and Shape the Future: Historical Research and Creative Storytelling in LIS Education - Ely-Ledesma Unpacking the complicated history of libraries in the United States, and recognizing historical threads that connect past to present, is vital as the profession continually adapts to emerging technologies and societal changes. When considering implementing historical perspectives into LIS education, we must ask a basic question: How can we infuse historical perspectives into LIS courses in an effective way? Historical research and creative storytelling are one way to address this question. To this end, I propose a three-step process for a project suitable for foundational courses or courses on library history. Teaching the History and the Evolution of the Information and Knowledge Profession - Hawamdeh According to Marcus Garvey “A person without the knowledge of their past history, origin, and culture is like a tree without roots." Understanding the LIS history, evolution and the radical changes is a key to the continued transformation of the information and knowledge profession. The continued expansion, evolution, and the emergence of concepts such as knowledge management, data science and generative AI are raising questions like how these concepts are related to LIS, how can they be woven into LIS curriculum, and how historical perspectives can be used to shape the future of the information and knowledge profession.

Investigation the Influence of Job Satisfaction as a Mediating Factor in the Relationship Between Transformational Leadership, Knowledge, Knowledge Management, Work Environment and Employee Performance

Objective: This research aims to assess job satisfaction's mediating role between transformational leadership (TL), work environment (WE), knowledge management (KM) practices, and employee performance (EP) by investigating TL's and WE's impact on job satisfaction, and examining how job satisfaction mediates the relationships between TL, KM practices, and EP. Theoretical Framework: The theoretical framework examines key factors affecting employee performance and organizational success. It highlights task and contextual performance, environmental influences, and the role of performance appraisals. Effective human resource practices, knowledge management, and transformational leadership are essential for high performance. Job satisfaction, influenced by knowledge management and leadership, enhances organizational success. Method: This quantitative study investigates the relationships among transformational leadership (TL), work environment (WE), job satisfaction (JS), knowledge management (KM) practices, and employee performance (EP). Data from 411 Thai-speaking participants are analyzed using structural equation modeling (SEM). The study employs validated questionnaires, a 5-point Likert scale, and ADANCO software to assess model fit, reliability, and validity. Results: The sample predominantly comprised females (64.7%) and individuals with bachelor’s degrees (59.12%), with 31.87% employed in companies and 41.12% earning between 30,001 and 50,000 baht. Descriptive analysis revealed strong positive perceptions of KM, TL, WE, JS, and EP, with mean scores between 4.74 and 4.87, underscoring the focus on EP. Structural equation modeling (SEM) identified significant relationships between KM and JS (0.0277), TL and JS (0.0533), WE and JS (0.1720), and JS and EP (0.4721). JS emerged as a key mediator between KM, TL, and WE, accounting for substantial variance in both JS and EP, reflected by R² values of 0.0385 and 0.3283. Although the KM-JS and TL-JS relationships were relatively weak, JS significantly influenced EP. The study advocates for enhancing KM, TL, and WE to improve JS and EP, while recommending future research to investigate moderating factors, longitudinal designs, and cross-cultural contexts. Research Implications: The study reveals critical insights into job satisfaction (JS) as a mediator between transformational leadership (TL), knowledge management (KM), work environment (WE), and employee performance (EP): TL significantly influences KM and WE, while effective KM enhances EP. JS mediates the positive effects of TL, KM, and WE on EP, though moderate correlations suggest other influencing factors. The research emphasizes contextual nuances within Thai organizations, underscoring the complexity of these relationships and the need for further investigation to fully understand their organizational implications. Originality/Value: This study offers innovative insights into the interactions among Knowledge Management (KM), Transformational Leadership (TL), Work Environment (WE), Job Satisfaction (JS), and Employee Performance (EP) in Thai organizations. It identifies JS as a key mediator in the effects of KM, TL, and WE on EP, deepening the understanding of organizational dynamics. Moderate correlations between KM and JS, and TL and JS, suggest additional moderating factors. The pivotal role of JS in determining EP emphasizes the need for organizations to enhance JS to improve performance. The study's focus on Thai organizations highlights cultural and contextual influences, bridging local practices with broader theoretical frameworks. Further investigation is needed to fully understand these complex dynamics.

Knowledge Management in Local Governments: A Boost or a Brake on Productivity?

This study analyzes the impact of knowledge management on the productivity of a local government, to determine whether it acts as a boost or a brake on institutional performance. Using a quantitative approach, a non-experimental design and an explanatory level, 119 municipal workers were evaluated using validated and reliable instruments. The dimensions of knowledge detection, capture and development were examined, applying Spearman correlation and ordinal regression. The results revealed a positive and significant correlation between knowledge management and productivity (Rho = 0.810, p = 0.000), indicating that effective management is associated with higher levels of productivity. The regression model showed that knowledge management explains 66.2% of the variability in productivity, reflecting an important influence. However, areas for improvement were identified, especially in knowledge detection, where significant levels of inefficiency and regularity were perceived. It was concluded that knowledge management in the local government studied acts both as a boost and a brake on productivity. It is recommended to implement strategies that strengthen detection, capture and knowledge development practices, in order to optimize operational efficiency and offer higher quality services to the population.

The Mediating Role of Artificial Intelligence in the Relationship between Effectiveness of Management Information System and Knowledge Acquisition

The study aims to investigate the mediating role of artificial intelligence technical skill (AI) on the relationship between effectiveness of management information system (MIS) and knowledge acquisition (KA) in Jazan University, the study used descriptive and analysis methods, A questionnaires used for data collection, (229) questionnaires were distributed, (177) valid questionnaires are returned about (%77.29) of the sample size, Several statistical methods have been used. The study found that there is positive and significant relationship between MIS effectiveness and AI technical skills, the study found that AI technical skill mediating the relationship between effectiveness of MIS and KA acquisition. These findings demonstrate the importance of AI in driving the effectiveness of KA. For future, the study recommends to apply difference dimensions of AI with difference dimensions of KA in other sectors.

MODEL OF CHARACTERISTICS OF HIGH-PERFORMANCE ORGANIZATIONS INFLUENCING THE PERFORMANCE OF SMALL AND MEDIUM ENTERPRISES IN THE CENTRAL REGION OF THAILAND

Purpose: To develop a model that explores the characteristics of high-performance organizations and their impact on the performance of small and medium enterprises (SMEs) in the central region of Thailand. Theoretical framework: The performance of an organization involves two variables: 1.) Financial results, including metrics such as higher returns on assets (ROA), return on equity (ROE), leverage ratio, earnings growth, and return on investment (ROI) (The Stock Exchange of Thailand, 2022). 2.) Organizational leadership and governance results, emphasizing the pivotal role of senior leaders in organizational leadership and governance, financial accountability, legal compliance, ethical conduct, social responsibility, and community support was assessed using four aspects adopted from Kajornatthapol P. and Surachai U., (2011). Design/methodology/approach: The study analyzed international publications on blended learning in management and business, focusing on authors, journals, and cooperation between countries. It employed a quantitative approach, using a questionnaire to gather data from SME executives in Thailand's central region (3,283 cases). Sampling used nonprobability and purposive methods, with a sample size suitable for structural equation modeling (SEM). The questionnaire comprised four parts assessing organizational characteristics, performance, respondent information, and opinions. Financial results were evaluated on a 5-level scale. Content validity was ensured through expert evaluations, and reliability was confirmed via Cronbach's alpha (0.86) and item-total correlation (>0.30). Data were analyzed using descriptive statistics, confirmatory factor analysis, and various evaluation indices. The research aims to enhance understanding of high-performance SMEs in Thailand's central region. Findings: The research findings indicate a growing volume of studies on high-performance organizations in the context of SMEs in Thailand's central region, with a limited number of influential authors, institutions, and journals. The model developed successfully aligns with empirical data, revealing positive impacts of organizational leadership, strategic planning, customer focus, knowledge management, workforce focus, and operations focus on SME performance. These findings underscore the importance of promoting awareness of these factors within the Thai SME sector to foster more high-performance enterprises, aligning with Thailand's development goals. The research contributes valuable insights applicable not only locally but also globally, emphasizing the significance of sustainable practices aligned with Thailand 4.0 and collaborative efforts between government and private sectors for national sustainability. Research, Practical & Social implications: The research yields significant implications for research, practice, and society. It sets a foundation for future studies on high-performance organizations in SMEs, emphasizing leadership, strategic planning, and customer focus. Moreover, it enhances executive education by offering insights into organizational performance improvement. Practically, it guides SMEs in Thailand and beyond to optimize operations and achieve sustainable growth through the adoption of high-performance characteristics. Policymakers can leverage these findings to design initiatives supporting SME development, aligning with economic goals. Societally, the research underscores the importance of sustainability and responsible practices, advocating for knowledge management and strategic alignment with national plans. Collaboration between government, private sectors, and civil society is vital to promoting sustainable business practices and fostering inclusive growth. Originality/value: The research demonstrates a growing number of publications in the field of management and business, particularly in co-authorship with leading countries. It highlights the significance of the Model of Characteristics of High-Performance Organizations in understanding and enhancing SME performance in Thailand's central region, contributing to the existing body of knowledge.

The influence of innovation, knowledge management, and e-commerce adoption on MSME performance, and its impact on MSMEs sustainability

In the current digital age, financial development has seen substantial shifts, particularly in buying and selling activities that are now facilitated by digital technology or electronic transactions (e-commerce), which offer convenience at relatively low costs. However, micro, small, and medium enterprises (MSMEs), which play a crucial role in the economy, must adapt to these advancements to sustain and grow their businesses. Despite the widespread adoption of e-commerce, many MSMEs have yet to fully capitalize on this technology. Limited knowledge often leads to hesitation in embracing e-commerce opportunities. Consequently, this study seeks to explore how innovation, information management, and e-commerce adoption impact MSME performance and its implications for business sustainability. The research targets MSME owners and managers in the Jabodetabek area (Jakarta, Bogor, Depok, Tangerang, and Bekasi) and nearby regions, with a sample of 420 individuals selected through random sampling. Data was collected through an online survey (Google Forms) administered to MSME management. The survey items were tested for validity and reliability, and the data analysis was conducted using various regression analyses with SEM-PLS and Smart-PLS3. The study’s findings highlight the following key points: 1) E-commerce adoption significantly enhances information management, which supports MSME sustainability; 2) E-commerce adoption also improves performance through better information management, further promoting MSME sustainability; 3) While technology is important, e-commerce adoption is the primary factor driving MSME sustainability, with technology serving as a secondary factor.

Validation of the JH-SEFAC Questionnaire on Knowledge on Insulin Management by Patients with Diabetes in Community Pharmacies

To review and validate a questionnaire on knowledge of injectable insulin management (JH-SEFAC) by patients with diabetes for use in community pharmacies. Study design: cross-sectional observational in Spanish community pharmacies during the first half of 2023. Inclusion criteria: patients with diabetes, of legal age, on insulin treatment. Questionnaire design: a nominal group of community pharmacists reviewed and piloted the initial questionnaire to determine its feasibility. It was approved by the CEIC of Aragón (PI22/375). Content validation: by a multidisciplinary group of experts in diabetes, using an ad hoc evaluation questionnaire of 10 questions (Likert scale of 1-5). Reliability: by means of the internal consistency index (Cronbach's alpha) and the intraclass correlation coefficient (ICC). Reproducibility (test/retest): the results of the questionnaire administered twice 2-3 weeks apart to the group of patients were compared. Pharmacists members of the SEFAC Diabetes Working Group collaborated. Sample: calculated in 127 subjects (95% CI and precision of 10%). 20 community pharmacies from 13 autonomous communities included 131 patients. The expert assessment was 4.52 out of 5 (90.4%). The Keiser-Meyer-Olkin test was 0.626 and Bartlett's test was significant (p<0.001). The Cronbach's alpha of the global questionnaire was 0.804 and the ICC was 0.902. The mean score of the questionnaire was 15.98 out of 31 points. The JH-SEFAC questionnaire was validated to evaluate the management of insulin injectables, providing community pharmacists with a valuable tool for therapeutic education.

Impact of collective knowledge on individual research competence: exploring the mediating influence of knowledge management processes

PurposeThe purpose of the current study is to investigate the impact of collective knowledge on individual research competence. Further, the study investigates the mediation effect of the knowledge management process (KMP).Design/methodology/approachThe cross-sectional study adopts a quantitative conclusive research design. The study collects data specifically from academicians of Uttarakhand higher education institutions (HEIs). The study uses random sampling because the list of faculty members is uploaded on the website of the university portal. The author directly sends the questionnaire to the email of the respondents and uses social media platforms. For the data analysis, the study used SMART-PLS 4.0.FindingsThe findings of the study reveal that KM infrastructure (KMI) and KM strategy directly impact KMP. The study also reveals that the KMP significantly impacts individual research competence. The current study also finds partial mediation support among KMI, KMP and individual research competence, and between KM strategy, KMP and individual research competence.Research limitations/implicationsThe current study uses a cross-sectional research design, future studies may include the longitudinal design to measure the effect of KM elements on individual research competence. The current study includes the data from the Uttarakhand region only, and it is difficult to generalize the results specifically to other states.Practical implicationsThe study emphasizes the importance of KM system development, a supportive KMI and a balanced KM strategy in HEIs.Originality/value Investigating collective knowledge’s impact on individual research competence, this study unveils mediation in KMP. Future research can broaden horizons by using the model.

Assessing Digital Literacy Among Young Professionals: A Research Mapping Review in the Context of Knowledge Workers

This study examines the impact of digital transformation on knowledge workers, particularly young professionals, and their use of digital tools in the workplace. It addresses a gap in the literature by exploring how digital literacy affects adaptability, productivity, and job satisfaction in dynamic environments. Unlike previous studies that focus on educational settings or older knowledge workers, this research links digital literacy to employability, knowledge sharing, and innovation among young professionals. Using bibliometric analysis, the study identifies key themes such as digital literacy, knowledge management, and professional development. The findings show that digital literacy not only enables the use of new technologies but also fosters creativity and knowledge sharing, crucial in information-driven industries. The COVID-19 pandemic accelerated the need for digital adaptation, introducing challenges like technostress and information overload, which impact well-being and decision-making. This study underscores the importance of equipping young professionals with strong digital literacy to meet the demands of knowledge workers. It calls for organizations and educational institutions to prioritize digital skills training to bridge the digital divide and prepare the future workforce.

Effects of strategic leadership on change management: examining the mediating roles of accountability, knowledge management, and organizational culture in public organizations: a study in Central Gondar, Ethiopia

Effects of strategic leadership on change management: examining the mediating roles of accountability, knowledge management, and organizational culture in public organizations: a study in Central Gondar, Ethiopia

Best Practice for Publishing Environmental DNA (eDNA) Data According to FAIR Principles

Reversing global biodiversity loss will require transformational human actions and robust measurements of their effectiveness. Diversity assessment using environmental DNA (eDNA) has emerged as a cutting-edge technique with the potential to address the challenges of measuring biodiversity. Vast amounts of eDNA sequences and eDNA-based species detections are generated in scientific studies. These datasets are typically stored in a variety of different repositories in multiple formats, hindering their reuse (Berry et al. 2020). Ensuring the publication of eDNA data following the FAIR (Findable, Accessible, Interoperable, Reusable) principles (Wilkinson et al. 2016) would revolutionise environmental assessment, including monitoring of biodiversity, individual species, and interactions across extensive spatial and temporal scales, and generate critical knowledge for evidence-based management. Archiving FAIR eDNA data requires standardising data formats and vocabularies, cyberinfrastructures, guidelines, data sharing policy, and collaboration among scientists and institutions. Some of these requirements are addressed by existing data standards and infrastructures, including Darwin Core (DwC) (Wieczorek et al. 2012), Minimum Information about any (x) Sequence (MIxS) (Yilmaz et al. 2011), the Global Biodiversity Information Facility (GBIF) network, and International Nucleotide Sequence Database Collaboration (INSDC) partners (Arita et al. 2020). However, multiple challenges remain and FAIR data practices have yet to be established among the eDNA community. This is partly because critical attributes unique to eDNA data are not adequately accommodated by existing standards. For example, monitoring contamination and excluding non-target taxa, and the parameters used for quality filtering and species detection vary greatly between studies, depending on the study scopes and the associated financial and ecological costs of incorrectly inferring presence or absence. Making such information FAIR is needed for future studies reusing data and requiring high confidence levels in species detection and taxonomic assignment. Furthermore, the procedures of targeted-taxon detection approach (e.g., interpretations of quantitative polymerase chain reaction (qPCR) results in detecting the presence of DNA from individual taxa) have not yet been fully captured by existing standards. Increasing efforts have been made to establish minimum reporting requirements to validate eDNA study methods and data (Klymus et al. 2020, Thalinger et al. 2021). These requirements need further development to be translated into data standards and formats to enhance machine readability and reusability, and to support and guide the eDNA community, so that they are effectively utilised. In this talk, we share our best practice guide for formatting and publishing eDNA data, developed by an international multidisciplinary working-group comprising eDNA researchers, journal editors, and biodiversity and omics data scientists. We identified required data types, formats and metadata checklists through reviewing and integrating existing data standards, devising subject-specific vocabularies, and introducing additional terms to accommodate the distinctive properties of eDNA data. Implementing the FAIR eDNA data best practice guide, offers a pivotal step towards standardising and enhancing the publication and re-use of eDNA data.

Relationship between human capital and entrepreneurship orientation from the intellectual capital perspective of innovative literacy

PurposeThis study measures the relationship between human capital and innovative literacy from the perspective of intellectual capital. For this purpose, the relationship between human capital and innovative literacy was first investigated to measure intellectual capital. Subsequently, the moderating effect of entrepreneurial orientation on the influence of innovative literacy on human capital was also analysed.Design/methodology/approachThis study analyses the relationship between innovative literacy, human capital and entrepreneurial orientation through structural equation modelling – the study sample comprised 457 participants in Türkiye.FindingsThe results suggest a positive relationship between human capital, a sub-component of intellectual capital and innovative literacy. Innovative literacy can influence intellectual capital and increase value. Our finding further confirms that entrepreneurial orientation has no moderating effect on the same relationship.Research limitations/implicationsDespite the observed correlation between IL and HC growth, this study had some limitations. First, the generalisability of the findings is limited because the sample was selected from individuals with a high level of education in Türkiye. Despite these limitations, this study has important theoretical and practical implications for developing countries. Türkiye is a developing country, and the selected sample is the most critical database in the country for an Innovative Literacy Scale. However, future research could focus on whether there is a potential source of bias and collect and compare data from heterogeneous workers. In addition, research on existing research frameworks in other countries may consider varying levels of education and business sectors. This research aims to be a pioneering initiative towards the advancement of IL. The question of whether IL should be considered equivalent to or a subset of HC, which has been previously proposed as a dimension of IC, can be clarified through a thorough examination of what IL means.Practical implicationsIn a theoretical framework, transforming human capital into value through innovations derived from innovative literacy activities will significantly increase the company's intellectual capital. Organizations in which innovative literacy play an important role achieve organizational goals, strengthen commitment and contribute to sustainability through the emergence of new potential innovative individuals. This research also contributes significantly to the existing literature. Initially regarding theoretical implications, this study examines the concept of innovative literacy in the existing literature on intellectual capital, human capital and entrepreneurial orientation. Additionally, this study offers a new perspective on intellectual capital.Social implicationsThe findings of this research also provide managerial outcomes. Initially, the assessment of concepts, research and development capabilities and efficient knowledge management are indicators of innovative literacy proficiency at the individual level. Human capital is a subcomponent of intellectual capital and refers to knowledge, skills and experience. Innovative and literate team members should be developed in order to strengthen the intellectual capital structure of an organization.Originality/valueThis study contributes to understanding innovative literacy from an intellectual capital perspective using the Innovative Literacy Scale to reveal important dimensions that influence innovative literacy. Using a measurement tool with new sub-dimensions not included in the extant literature on intellectual capital is unique. This study suggests that scholars should include innovative literacy – a distinct subset of intellectual capital – in their body of knowledge on human capital. Our findings have the potential to help meet the needs of human resource departments, researchers, educational institutions, public institutions and enterprises.

Does cross-cultural adjustment affect employee work commitment? Assessing the role of work factors within selected mission hospitals in Kenya

Background Globalization has expanded the scope of business with many companies relying on the contribution of expatriates to fill skills gap in foreign business operations, transferring management knowledge, launching new operations, and coordinating activities on a global scale. Expatriates, however, face challenges that stem from cultural differences. Their commitment levels depend on how well and how quickly they adjust to the unfamiliar culture(s) of the host country. Methods This study sought to investigate the implications of work factors on commitment of expatriates working in selected mission hospitals in Kenya. It was anchored on the provisions of the Three-Component Commitment and International Adjustment theories and a randomly selected sample of 112 respondents from a target population of 156 medical expatriates. Results and conclusions The results depicted that work-related factors significantly affected employee commitment (β= -1.033, p=0.000). To conclude, we argue that employee commitment amongst expatriates can be enhanced through work factors’ cross-cultural adjustment. We further recommend setting up of cross-cultural adjustment policies for expatriate workers within the workplace, particularly in mission hospitals.