Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine

BACKGROUND

Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teaching Resources (CIDHR). CIDHR is freely accessible to everyone, with a focus on French-speaking resources. CIDHR has been initiated to provide validated, high-quality content tailored to the specific needs of each user profile, be it students or professionals.

OBJECTIVE

This study's primary aim in developing and implementing the CIDHR is to improve knowledge sharing and spreading in digital health and health informatics and expand the health-related educational community, primarily French speaking but also in other languages. We intend to support the continuous development of initial (ie, bachelor level), advanced (ie, master and doctoral levels), and continuing training (ie, professionals and postgraduate levels) in digital health for health and social work fields. The main objective is to describe the development and implementation of CIDHR. The hypothesis guiding this research is that controlled vocabularies dedicated to medical informatics and digital health, such as the Medical Informatics Multilingual Ontology (MIMO) and the concepts structuring the French National Referential on Digital Health (FNRDH), to index digital health teaching and learning resources, are effectively increasing the availability and accessibility of these resources to medical students and other health care professionals.

METHODS

First, resource identification is processed by medical librarians from websites and scientific sources preselected and validated by domain experts and surveyed every week. Then, based on MIMO and FNRDH, the educational resources are indexed for each related knowledge domain. The same resources are also tagged with relevant academic and professional experience levels. Afterward, the indexed resources are shared with the digital health teaching and learning community. The last step consists of assessing CIDHR by obtaining informal feedback from users.

RESULTS

Resource identification and evaluation processes were executed by a dedicated team of medical librarians, aiming to collect and curate an extensive collection of digital health teaching and learning resources. The resources that successfully passed the evaluation process were promptly included in CIDHR. These resources were diligently indexed (with MIMO and FNRDH) and tagged for the study field and degree level. By October 2023, a total of 371 indexed resources were available on a dedicated portal.

CONCLUSIONS

CIDHR is a multilingual digital health education semantic search engine and platform that aims to increase the accessibility of educational resources to the broader health care-related community. It focuses on making resources "findable," "accessible," "interoperable," and "reusable" by using a one-stop shop portal approach. CIDHR has and will have an essential role in increasing digital health literacy.

Overview of the Knowledge Management Center for Illuminating the Druggable Genome

The Knowledge Management Center (KMC) for the Illuminating the Druggable Genome (IDG) project aims to aggregate, update, and articulate protein-centric data knowledge for the entire human proteome, with emphasis on the understudied proteins from the three IDG protein families. KMC collates and analyzes data from over 70 resources to compile the Target Central Resource Database (TCRD), which is the web-based informatics platform (Pharos). These data include experimental, computational, and text-mined information on protein structures, compound interactions, and disease and phenotype associations. Based on this knowledge, proteins are classified into different Target Development Levels (TDLs) for identification of understudied targets. Additional work by the KMC focuses on enriching target knowledge and producing DrugCentral and other data visualization tools for expanding investigation of understudied targets.

Embedded on-site aged care pharmacists in Australia: Insights from early adopters of a new workforce model

OBJECTIVE

To explore the roles of early adopters of Australia's embedded on-site pharmacist model in supporting quality use of medications in residential aged care facilities (RACFs).

METHODS

Qualitative semistructured interviews were conducted with 15 pharmacists working as embedded on-site pharmacists, or beyond the scope of traditional consultant pharmacist roles in Australian RACFs. Interviews were audio-recorded, transcribed and thematically analysed independently by two investigators using an inductive approach. Deductive analysis was also undertaken using a knowledge broker framework: knowledge manager, linkage agent and capacity builder.

RESULTS

Dominant themes were roles and benefits of embedded pharmacists, factors associated with success and challenges. Roles and benefits included (1) resident-level interventions and an enhanced ability to provide collaborative outcome-focussed resident-centred care, including timely input and follow-up, and improved relationships with residents, family and interdisciplinary team; and (2) system-level interventions such as contributing to clinical governance and quality improvement. Factors associated with success included personal capabilities and approach of the pharmacist, and organisational culture and sector-wide support. Challenges included pharmacist workforce shortages, perceived lack of pharmacist readiness and difficulty determining an appropriate service model. Deductive coding demonstrated roles of embedded pharmacists were consistent with all three activities of a knowledge broker.

CONCLUSIONS

This study highlights the resident- and system-level roles and benefits of embedded on-site pharmacists, and provides a framework for defining this emerging workforce model in Australian RACFs.

Examining Knowledge Management and the Culture Change Movement in Long-Term Care: A Study of High-Medicaid-Census Nursing Homes

High-quality nursing home (NH) care has long been a challenge within the United States. For decades, policymakers at the state and federal levels have adopted and implemented regulations to target critical components of NH care outcomes. Simultaneously, our delivery system continues to change the role of NHs in patient care. For example, more acute patients are cared for in NHs, and the Center for Medicare and Medicaid Services (CMS) has implemented value payment programs targeting NH settings. As a part of these growing pressures from the broader healthcare delivery system, the culture-change movement has emerged among NHs over the past two decades, prompting NHs to embody more person-centered care as well as promote settings which resemble someone's home, as opposed to institutionalized healthcare settings. Researchers have linked culture change to high-quality outcomes and the ability to adapt and respond to the ever-changing pressures brought on by changes in our regulatory and delivery system. Making enduring culture change within organizations has long been a challenge and focus in NHs. Despite research suggesting that culture-change initiatives that promote greater resident-centered care are associated with several desirable patient outcomes, their adoption and implementation by NHs are resource intensive, and research has shown that NHs with high percentages of low-income residents are especially challenged to adopt these initiatives. This chapter takes a novel approach to examine factors that impact the adoption of culture-change initiatives by assessing knowledge management and the role of knowledge management activities in promoting the adoption of innovative care delivery models among under-resourced NHs throughout the United States. Using primary data from a survey of NH administrators, we conducted logistic regression models to assess the relationship between knowledge management and the adoption of a culture-change initiative as well as whether these relationships were moderated by leadership and staffing stability. Our study found that NHs were more likely to adopt a culture-change initiative when they had more robust knowledge management activities. Moreover, knowledge management activities were particularly effective at promoting adoption in NHs that struggle with leadership and nursing staff instability. Our findings support the notion that knowledge management activities can help NHs acquire and mobilize informational resources to support the adoption of care delivery innovations, thus highlighting opportunities to more effectively target efforts to stimulate the adoption and spread of these initiatives.

Developing an online knowledge sharing platform and community of practice for health professionals: Experiences from C-WorKS developed in North East England and Yorkshire during COVID-19

BACKGROUND

Although knowledge sharing online has been recognised as an important strategy for health professionals to apply research findings to their practice, limited research exists on how to develop and implement these platforms to help facilitate collaboration and knowledge sharing.

OBJECTIVES

This study evaluated an online knowledge sharing platform and community of practice developed in the North East of England and Yorkshire during COVID-19 to support UK health and care professionals to reduce the impact of the wider consequences of COVID-19.

METHODS

Semi-structured interviews with stakeholders (n = 8) and users of C-WorKS (n = 13), followed by an online survey (n = 19) among a wider group of users to analyse knowledge use.

RESULTS

Interview and survey findings highlighted several strengths, weaknesses, opportunities and threats to support future development of online knowledge sharing platforms.

DISCUSSION

Online knowledge sharing supports six 'pillars' of successful research and innovation partnerships. This requires distributed forms of leadership and linking of different knowledge sharing strategies, and careful combination of platforms with communities of practice.

CONCLUSION

Online knowledge sharing provides pragmatic and timely strategies for health professionals in the UK to apply research evidence to their practice. Our study provides generalisable, practical insights in how to develop and implement a knowledge sharing platform.

Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition

Implementing artificial intelligence to extract insights from large, real-world clinical data sets can supplement and enhance knowledge management efforts for health sciences research and clinical care. At Vanderbilt University Medical Center (VUMC), the in-house developed Word Cloud natural language processing system extracts coded concepts from patient records in VUMC's electronic health record repository using the Unified Medical Language System terminology. Through this process, the Word Cloud extracts the most prominent concepts found in the clinical documentation of a specific patient or population. The Word Cloud provides added value for clinical care decision-making and research. This viewpoint paper describes a use case for how the VUMC Center for Knowledge Management leverages the condition-disease associations represented by the Word Cloud to aid in the knowledge generation needed to inform the interpretation of phenome-wide association studies.

Quick links: Apprenticeship project

This project was designed to support people to find information, resources, and evidence independently within Health Education England (now NHS England Workforce Training and Education) and allow the Knowledge Management team more time to focus on other services offered. This project aimed to pull together a number of resources in to one simple 'Quick links' page, with relevant information, resources and further training, providing people with opportunities to build on their own knowledge and skills.

Health and social care managers' perceptions of factors affecting the competence of managers in knowledge management: A qualitative study

AIM

To describe health and social care managers' perceptions of the factors affecting the competence of managers in knowledge management.

DESIGN

A qualitative descriptive study.

METHODS

A semi-structured interview was conducted with 15 managers from three public health and social care organizations in Finland. Data were collected in the spring of 2022 and analysed using inductive content analysis.

RESULTS

Health and social care managers perceived that the competence of managers working in knowledge management is affected by managers' behavioural and attitudinal characteristics, their interactive network competence in knowledge management, the dimensions of their competence in knowledge management, the knowledge management infrastructure with which they work and the organizational learning culture within which they work.

CONCLUSIONS

The competence of health and social managers in knowledge management is influenced by various factors, including their personal characteristics, management competence and the infrastructure and culture of the organization for which they work. However, their competence is constrained by an absence of clear processes, structures and resources in knowledge management as well as a lack of systematic support and training for managers working in knowledge management.

IMPACT

The study provides valuable information for improving the competence of managers working in knowledge management in health and social care organizations. The competence of managers working in knowledge management is instrumental for successful implementation and sustaining of knowledge management practices and thus, such competence has a positive impact on the overall performance of an organization.

IMPLICATIONS

Clarifying the roles and responsibilities of health and social care managers, as well as establishing organizational structures, is essential for effective knowledge management in organizations.

REPORTING METHOD

Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist has been used in the reporting.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Principles and Standards for Designing and Managing Integrable and Interoperable Transformed Health Ecosystems

The advancement of sciences and technologies, economic challenges, increasing expectations, and consumerism result in a radical transformation of health and social care around the globe, characterized by foundational organizational, methodological, and technological paradigm changes. The transformation of the health and social care ecosystems aims at ubiquitously providing personalized, preventive, predictive, participative precision (5P) medicine, considering and understanding the individual's health status in a comprehensive context from the elementary particle up to society. For designing and implementing such advanced ecosystems, an understanding and correct representation of the structure, function, and relations of their components is inevitable, thereby including the perspectives, principles, and methodologies of all included disciplines. To guarantee consistent and conformant processes and outcomes, the specifications and principles must be based on international standards. A core standard for representing transformed health ecosystems and managing the integration and interoperability of systems, components, specifications, and artifacts is ISO 23903:2021, therefore playing a central role in this publication. Consequently, ISO/TC 215 and CEN/TC 251, both representing the international standardization on health informatics, declared the deployment of ISO 23903:2021 mandatory for all their projects and standards addressing more than one domain. The paper summarizes and concludes the first author's leading engagement in the evolution of pHealth in Europe and beyond over the last 15 years, discussing the concepts, principles, and standards for designing, implementing, and managing 5P medicine ecosystems. It not only introduces the theoretical foundations of the approach but also exemplifies its deployment in practical projects and solutions regarding interoperability and integration in multi-domain ecosystems. The presented approach enables comprehensive and consistent integration of and interoperability between domains, systems, related actors, specifications, standards, and solutions. That way, it should help overcome the problems and limitations of data-centric approaches, which still dominate projects and products nowadays, and replace them with knowledge-centric, comprehensive, and consistent ones.

Current challenges and recent advances on the path towards continuous biomanufacturing

Continuous biopharmaceutical manufacturing is currently a field of intense research due to its potential to make the entire production process more optimal for the modern, ever-evolving biopharmaceutical market. Compared to traditional batch manufacturing, continuous bioprocessing is more efficient, adjustable, and sustainable and has reduced capital costs. However, despite its clear advantages, continuous bioprocessing is yet to be widely adopted in commercial manufacturing. This article provides an overview of the technological roadblocks for extensive adoptions and points out the recent advances that could help overcome them. In total, three key areas for improvement are identified: Quality by Design (QbD) implementation, integration of upstream and downstream technologies, and data and knowledge management. First, the challenges to QbD implementation are explored. Specifically, process control, process analytical technology (PAT), critical process parameter (CPP) identification, and mathematical models for bioprocess control and design are recognized as crucial for successful QbD realizations. Next, the difficulties of end-to-end process integration are examined, with a particular emphasis on downstream processing. Finally, the problem of data and knowledge management and its potential solutions are outlined where ontologies and data standards are pointed out as key drivers of progress.

A systematic review on the roles of knowledge management in public sectors: Synthesis and way forwards

The main objective of this study is to examine and synthesise the role of knowledge management in the public sector. The study applied the systematic review technique of Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) to evaluate the role of knowledge management in the public sector using 33 selected web of science core collection journal articles. The study acknowledged that different theories have been applied by the scholars using different research methodologies. The articles published in the stated year show progressive increment, and the authors used different research methods to undertake a study on KM in the public sector. In this review, three research themes in KM research have been identified. Knowledge management for organisational improvement, KM for citizens' satisfaction, and KM for collaborative innovation management are the main research themes identified in this systematic review.

Nursing students' professional values for reinforcing the professional identity

OBJECTIVES

to understand the nursing students' professional values in different Brazilian universities and verify a correlation between the "Professional Value" and the sociodemographic variables.

METHODS

quantitative, cross-sectional, and descriptive study conducted through an electronic questionnaire with a Professional Values Scale (NPVS-3). Participants were Nursing students of all semesters from three universities - two in the Southeast region and one in the North region.

RESULTS

of the 337 participating Nursing students, 282 were female. The Caring dimension presented the highest score (mean=46.61), and Professionalism, the lowest score (mean=34.65). A statistically significant association was detected between the Caring dimension, "university where is attending," and "gender."

CONCLUSIONS

the results indicate the Caring dimension as the one containing the most scored professional values since the nurses' training, and the relation of those values in such dimension is more significant in the female sample.

Impact of knowledge management on job satisfaction and organizational performance among healthcare employees: A structural equation modeling approach

Background and Aims

Organizational knowledge management (KM) involves creating, preserving, and sharing employees' knowledge. This approach can enhance efficiency, improve performance, and boost job satisfaction (JS) throughout all aspects of the organization. This research aimed to investigate the effect of three variables of KM, JS, and organizational performance (OP) on the employees of the Health and Treatment Network in Haji Abad City.

Methods

A study was conducted with 211 employees, such as physicians, nurses, and technicians. These employees worked in various sections, such as hospitals, health centers, rural centers, and emergency centers within the Health and Treatment Network of Haji Abad City. Newman and Kenard's KM, Hersey and Goldsmith's OP, and Smith, Kendall & Hulin's Job Satisfaction Questionnaires were used. The statistical software LISREL 8.8 was used to conduct structural equation modeling (SEM).

Results

The results indicate that the structural equation models had a good fit. Significant positive relationships exist between KM processes (creation, retention, and application) and JS. No significant relationship was found between knowledge transfer and JS. The coefficient obtained from SEM between knowledge retention and OP was 0.74, indicating a strong and direct correlation between the two variables. The standardized coefficients for the relationship between knowledge creation and retention and JS were 0.45 and 0.33, respectively. This indicates a positive and direct effect of knowledge creation and retention on JS. All KM processes positively predict OP.

Conclusion

The research model had a good fit, and the KM processes had a positive effect on performance and JS. However, no significant relationship was found between knowledge transfer and JS among employees in the Health and Treatment Network. More research is needed to identify mediating variables and factors influencing this phenomenon in healthcare centers.

Structural Relationships between Learning Emotion and Knowledge Organization and Management Processes in Distance Learning Environments: "An Applied Study"

The widespread adoption and expansion of distance learning necessitates the consideration of issues related to learning passion, which is the strong desire of learners towards a specific activity of high value and meaning that enables the use of relevant cognitive and behavioral strategies to acquire, store, apply, share, use, absorb, and create knowledge. The current study aimed to measure learners' practices of learning emotion processes, knowledge management, and organization in distance learning environments using tangible indicators. The study utilized a descriptive correlational approach to identify the effects of the study variables, including learning emotion (harmonious passion-emotional obsession), on knowledge management through the mediating role of self-regulation in distance learning environments. The results show that learners' practices of learning emotion processes, knowledge management, and organization in distance learning environments were higher than average, and there was a significant correlation between emotion, self-regulation, and knowledge management. Additionally, learning emotion (harmonious passion and emotional obsession) had a statistically significant effect on self-organization processes and knowledge management. Structural equation modeling analysis confirmed the validity of the proposed path model, indicating that self-regulation plays a crucial role in mediating the relationship between emotion and knowledge management in distance learning environments.

CIAO: a living experiment in interdisciplinary large-scale collaboration facilitated by the Adverse Outcome Pathway framework

Introduction

The CIAO project was launched in Spring 2020 to address the need to make sense of the numerous and disparate data available on COVID-19 pathogenesis. Based on a crowdsourcing model of large-scale collaboration, the project has exploited the Adverse Outcome Pathway (AOP) knowledge management framework built to support chemical risk assessment driven by mechanistic understanding of the biological perturbations at the different organizational levels. Hence the AOPs might have real potential to integrate data produced through different approaches and from different disciplines as experienced in the context of COVID-19. In this study, we aim to address the effectiveness of the AOP framework (i) in supporting an interdisciplinary collaboration for a viral disease and (ii) in working as the conceptual mediator of a crowdsourcing model of collaboration.

Methods

We used a survey disseminated among the CIAO participants, a workshop open to all interested CIAO contributors, a series of interviews with some participants and a self-reflection on the processes.

Results

The project has supported genuine interdisciplinarity with exchange of knowledge. The framework provided a common reference point for discussion and collaboration. The diagram used in the AOPs assisted with making explicit what are the different perspectives brought to the knowledge about the pathways. The AOP-Wiki showed up many aspects about its usability for those not already in the world of AOPs. Meanwhile their use in CIAO highlighted needed adaptations. Introduction of new Wiki elements for modulating factors was potentially the most disruptive one. Regarding how well AOPs support a crowdsourcing model of large-scale collaboration, the CIAO project showed that this is successful when there is a strong central organizational impetus and when clarity about the terms of the collaboration is brought as early as possible.

Discussion

Extrapolate the successful CIAO approach and related processes to other areas of science where the AOP could foster interdisciplinary and systematic organization of the knowledge is an exciting perspective.

Factors Influencing the Effectiveness of E-Learning in Healthcare: A Fuzzy ANP Study

E-learning has transformed the healthcare education system by providing healthcare professionals with training and development opportunities, regardless of their location. However, healthcare professionals in remote or rural areas face challenges such as limited access to educational resources, lack of reliable internet connectivity, geographical isolation, and limited availability of specialized training programs and instructors. These challenges hinder their access to e-learning opportunities and impede their professional development. To address this issue, a study was conducted to identify the factors that influence the effectiveness of e-learning in healthcare. A literature review was conducted, and two questionnaires were distributed to e-learning experts to assess primary variables and identify the most significant factor. The Fuzzy Analytic Network Process (Fuzzy ANP) was used to identify the importance of selected factors. The study found that success, satisfaction, availability, effectiveness, readability, and engagement are the main components ranked in order of importance. Success was identified as the most significant factor. The study results highlight the benefits of e-learning in healthcare, including increased accessibility, interactivity, flexibility, knowledge management, and cost efficiency. E-learning offers a solution to the challenges of professional development faced by healthcare professionals in remote or rural areas. The study provides insights into the factors that influence the effectiveness of e-learning in healthcare and can guide the development of future e-learning programs.

Factors That Affect Knowledge-Sharing Behaviors in Medical Imaging Departments in Cancer Centers: Systematic Review

BACKGROUND

Knowledge management plays a significant role in health care institutions. It consists of 4 processes: knowledge creation, knowledge capture, knowledge sharing, and knowledge application. The success of health care institutions relies on effective knowledge sharing among health care professionals, so the facilitators and barriers to knowledge sharing must be identified and understood. Medical imaging departments play a key role in cancer centers. Therefore, an understanding of the factors that affect knowledge sharing in medical imaging departments should be sought to increase patient outcomes and reduce medical errors.

OBJECTIVE

The purpose of this systematic review was to identify the facilitators and barriers that affect knowledge-sharing behaviors in medical imaging departments and identify the differences between medical imaging departments in general hospitals and cancer centers.

METHODS

We performed a systematic search in PubMed Central, EBSCOhost (CINAHL), Ovid MEDLINE, Ovid Embase, Elsevier (Scopus), ProQuest, and Clarivate (Web of Science) in December 2021. Relevant articles were identified by examining the titles and abstracts. In total, 2 reviewers independently screened the full texts of relevant papers according to the inclusion and exclusion criteria. We included qualitative, quantitative, and mixed methods studies that investigated the facilitators and barriers that affect knowledge sharing. We used the Mixed Methods Appraisal Tool to assess the quality of the included articles and narrative synthesis to report the results.

RESULTS

A total of 49 articles were selected for the full in-depth analysis, and 38 (78%) studies were included in the final review, with 1 article added from other selected databases. There were 31 facilitators and 10 barriers identified that affected knowledge-sharing practices in medical imaging departments. These facilitators were divided according to their characteristics into 3 categories: individual, departmental, and technological facilitators. The barriers that hindered knowledge sharing were divided into 4 categories: financial, administrative, technological, and geographical barriers.

CONCLUSIONS

This review highlighted the factors that influenced knowledge-sharing practices in medical imaging departments in cancer centers and general hospitals. In terms of the facilitators and barriers to knowledge sharing, this study shows that these are the same in medical imaging departments, whether in general hospitals or cancer centers. Our findings can be used as guidelines for medical imaging departments to support knowledge-sharing frameworks and enhance knowledge sharing by understanding the facilitators and barriers.

Decolonising the psychology curriculum: a perspective

Decolonisation seeks to reverse the impact of colonisation on minoritised groups. Governments, healthcare institutions, criminal justice and education systems have procedures and protocols deep-rooted in colonisation and operate through a western lens. Decolonisation reaches beyond increasing inclusivity and aims to re-establish history through the experiences and perspective of those most affected. As with many disciplines, core theories, practices and interventions within Psychology, an ethnocentric viewpoint has been used, continuously reinstated through its curriculum. With awareness around diversification and increase in varying demands, it is important that the Psychology curriculum evolves to suit the needs of its' users. Many recommendations for decolonising the curriculum are trivial surface changes. These involve including required bibliography from diverse minority authors within the modules syllabuses or organising a one-off lecture or workshop from a minority ethnic speaker. Some universities have also suggested that lecturers participate in self-awareness practices to ensure they understand decolonisation to appropriately address it through their teaching, whilst others have provided checklists against which they can check the inclusivity of their modules. All these alterations fail to target the root of the problem. To properly reverse the effects of colonisation within the curriculum it would be necessary to re-evaluate the Westernised history that has been retold for years and teach past events through the experiences of those who suffered. Research into how decolonisation can occur in a structured and comprehensive way is necessary to enable the redress for abolition of colonial practices on a global scale.

Knowledge sharing and discovery across heterogeneous research infrastructures

Research infrastructures play an increasingly essential role in scientific research. They provide rich data sources for scientists, such as services and software packages, via catalog and virtual research environments. However, such research infrastructures are typically domain-specific and often not connected. Accordingly, researchers and practitioners face fundamental challenges introduced by fragmented knowledge from heterogeneous, autonomous sources with complicated and uncertain relations in particular research domains. Additionally, the exponential growth rate of knowledge in a specific domain surpasses human experts' ability to formalize and capture tacit and explicit knowledge efficiently. Thus, a knowledge management system is required to discover knowledge effectively, automate the knowledge acquisition based on artificial intelligence approaches, integrate the captured knowledge, and deliver consistent knowledge to agents, research communities, and end-users. In this study, we present the development process of a knowledge management system for ENVironmental Research Infrastructures, which are crucial pillars for environmental scientists in their quest for understanding and interpreting the complex Earth System. Furthermore, we report the challenges we have faced and discuss the lessons learned during the development process.

Knowledge sharing and discovery across heterogeneous research infrastructures

Research infrastructures play an increasingly essential role in scientific research. They provide rich data sources for scientists, such as services and software packages, via catalog and virtual research environments. However, such research infrastructures are typically domain-specific and often not connected. Accordingly, researchers and practitioners face fundamental challenges introduced by fragmented knowledge from heterogeneous, autonomous sources with complicated and uncertain relations in particular research domains. Additionally, the exponential growth rate of knowledge in a specific domain surpasses human experts' ability to formalize and capture tacit and explicit knowledge efficiently. Thus, a knowledge management system is required to discover knowledge effectively, automate the knowledge acquisition based on artificial intelligence approaches, integrate the captured knowledge, and deliver consistent knowledge to agents, research communities, and end-users. In this study, we present the development process of a knowledge management system for ENVironmental Research Infrastructures, which are crucial pillars for environmental scientists in their quest for understanding and interpreting the complex Earth System. Furthermore, we report the challenges we have faced and discuss the lessons learned during the development process.

iCHECK-DH: Guidelines and Checklist for the Reporting on Digital Health Implementations

BACKGROUND

Implementation of digital health technologies has grown rapidly, but many remain limited to pilot studies due to challenges, such as a lack of evidence or barriers to implementation. Overcoming these challenges requires learning from previous implementations and systematically documenting implementation processes to better understand the real-world impact of a technology and identify effective strategies for future implementation.

OBJECTIVE

A group of global experts, facilitated by the Geneva Digital Health Hub, developed the Guidelines and Checklist for the Reporting on Digital Health Implementations (iCHECK-DH, pronounced "I checked") to improve the completeness of reporting on digital health implementations.

METHODS

A guideline development group was convened to define key considerations and criteria for reporting on digital health implementations. To ensure the practicality and effectiveness of the checklist, it was pilot-tested by applying it to several real-world digital health implementations, and adjustments were made based on the feedback received. The guiding principle for the development of iCHECK-DH was to identify the minimum set of information needed to comprehensively define a digital health implementation, to support the identification of key factors for success and failure, and to enable others to replicate it in different settings.

RESULTS

The result was a 20-item checklist with detailed explanations and examples in this paper. The authors anticipate that widespread adoption will standardize the quality of reporting and, indirectly, improve implementation standards and best practices.

CONCLUSIONS

Guidelines for reporting on digital health implementations are important to ensure the accuracy, completeness, and consistency of reported information. This allows for meaningful comparison and evaluation of results, transparency, and accountability and informs stakeholder decision-making. i-CHECK-DH facilitates standardization of the way information is collected and reported, improving systematic documentation and knowledge transfer that can lead to the development of more effective digital health interventions and better health outcomes.

Closing the academy-Business gap by building intellectual capital in professional formation

Introduction

The rapid advances in technology, market pressures, globalization, and, recently, the COVID-19 pandemic show the need to find educational models that respond to these realities while improving the employability levels of young people and promoting economic growth. This research analyzes how the professional formation model, where two learning spaces, the academy, and the company, are combined, promotes the closing of gaps and economic growth, through the development of intellectual capital that arises from this relationship, in an emerging economy such as Colombia.

Methods

The methodology used corresponds to a qualitative approach, where the vision of the actors involved in the training process at the undergraduate level in Colombia is analyzed through semi-structured interviews, focus groups, and documentary analysis.

Results and discussion

The results show five major elements to consider for the formation of the intellectual capital required for the success of the relationship and the reduction in the gaps between academia and business: decision-making mechanisms, inter-organizational coordination, knowledge.

Development of a Knowledge Graph for Automatic Job Hazard Analysis: The Schema

In the current practice, an essential element of safety management systems, Job Hazard Analysis (JHA), is performed manually, relying on the safety personnel's experiential knowledge and observations. This research was conducted to create a new ontology that comprehensively represents the JHA knowledge domain, including the implicit knowledge. Specifically, 115 actual JHA documents and interviews with 18 JHA domain experts were analyzed and used as the source of knowledge for creating a new JHA knowledge base, namely the Job Hazard Analysis Knowledge Graph (JHAKG). To ensure the quality of the developed ontology, a systematic approach to ontology development called METHONTOLOGY was used in this process. The case study performed for validation purposes demonstrates that a JHAKG can operate as a knowledge base that answers queries regarding hazards, external factors, level of risks, and appropriate control measures to mitigate risks. As the JHAKG is a database of knowledge representing a large number of actual JHA cases previously developed and also implicit knowledge that has not been formalized in any explicit forms yet, the quality of JHA documents produced from queries to the database is expectedly higher than the ones produced by an individual safety manager in terms of completeness and comprehensiveness.

Prevalence and patterns of mobile device usage among physicians in clinical practice: A systematic review

Mobile devices and corresponding applications (apps) offer a unique potential for clinical work improvement. Healthcare employees already use them for a variety of clinical purposes. Even though their use might affect patients' health and data security, they have rarely found their way into organizational knowledge management strategies. We present the current state of research regarding the prevalence, patterns, and trends of smartphone and tablet usage among physicians in clinical practice. Five electronic databases were searched for quantitative studies. The extracted data were systematically analyzed and visualized in boxplots. The results show an increasing prevalence of smartphones and medical apps in clinical practice, especially among junior physicians. Current applications can be subdivided into four categories: Communication and Organization, Documentation and Monitoring, Diagnostic and Therapeutic Decision Support, and Education. Among them, there is a large number of applications with a direct impact on physicians' clinical actions and therefore on patients' health and data security. In consequence, healthcare organizations should systematically integrate mobile devices and apps into their knowledge management strategies, including a modern IT infrastructure and training courses. Further studies are necessary to identify organizational and external factors that support an efficient mobile device usage during clinical practice.

Organizational unlearning: A risky food safety strategy?

Strategically unlearning specific knowledge, behaviors, and practices facilitates product and process innovation, business model evolution, and new market opportunities and is essential to meet emergent supply chain and customer requirements. Indeed, addressing societal concerns such as climate change and net zero means elements of contemporary practice in food supply chains need to be unlearned to ensure new practices are adopted. However, unlearning is a risky process if crucial knowledge is lost, for example, if knowledge is situated in the supply base not the organization itself, or there is insufficient organizational food safety knowledge generation, curation, and management when new practices/processes are designed and implemented. An exploratory, critical review of management and food safety academic and gray literature is undertaken that aims to consider the cycle of unlearning, learning, and relearning in food organizations and supply chains with particular emphasis on organizational innovation, inertia, and the impact on food safety management systems and food safety performance. Findings demonstrate it is critical with food safety practices, such as duration date coding or refrigeration practices, that organizations "unlearn" in a way that does not increase organizational, food safety, or public health risk. This paper contributes to extant literature by highlighting the organizational vulnerabilities that can arise when strategically unlearning to promote sustainability in a food supply context. Mitigating such organizational, food safety, and public health risk means organizations must simultaneously drive unlearning, learning, and relearning as a dynamic integrated knowledge acquisition and management approach. The research implications are of value to academics, business managers, and wider industry.

CTSA Search Solutions: A novel approach to searching CTSA hub website content

Clinical and Translational Science Award (CTSA) hub websites are a critical communication gateway to assist the clinical and translational science community and promote CTSA hub offerings. The objective of this funded pilot project was to create a website and online database for the CTSA consortium that allows users to conduct structured searches among the 50 + CTSA hub websites. The result is CTSA Search Solutions, an online, searchable database that includes access to 50 + CTSA hub websites with 80+ structured search term options and over 800 links collected, organized, and published. Hubs can be searched by name and filtered by a specific CTSA topic, state, region, or even number of years funded to make detailed comparisons with the data identified. The home page for each hub can be accessed directly from the search page. The CTSA Search Solutions online database will allow for a wide breadth of CTSA personnel (core leads, researchers, administrators, communicators, and evaluators) to find consolidated information to learn about specific CTSA hub program highlights, as well as conduct research into program hub outputs and best practices across the nationwide CTSA consortium.

Functional Requirements for Medical Data Integration into Knowledge Management Environments: Requirements Elicitation Approach Based on Systematic Literature Analysis

BACKGROUND

In patient care, data are historically generated and stored in heterogeneous databases that are domain specific and often noninteroperable or isolated. As the amount of health data increases, the number of isolated data silos is also expected to grow, limiting the accessibility of the collected data. Medical informatics is developing ways to move from siloed data to a more harmonized arrangement in information architectures. This paradigm shift will allow future research to integrate medical data at various levels and from various sources. Currently, comprehensive requirements engineering is working on data integration projects in both patient care- and research-oriented contexts, and it is significantly contributing to the success of such projects. In addition to various stakeholder-based methods, document-based requirement elicitation is a valid method for improving the scope and quality of requirements.

OBJECTIVE

Our main objective was to provide a general catalog of functional requirements for integrating medical data into knowledge management environments. We aimed to identify where integration projects intersect to derive consistent and representative functional requirements from the literature. On the basis of these findings, we identified which functional requirements for data integration exist in the literature and thus provide a general catalog of requirements.

METHODS

This work began by conducting a literature-based requirement elicitation based on a broad requirement engineering approach. Thus, in the first step, we performed a web-based systematic literature review to identify published articles that dealt with the requirements for medical data integration. We identified and analyzed the available literature by applying the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. In the second step, we screened the results for functional requirements using the requirements engineering method of document analysis and derived the requirements into a uniform requirement syntax. Finally, we classified the elicited requirements into a category scheme that represents the data life cycle.

RESULTS

Our 2-step requirements elicitation approach yielded 821 articles, of which 61 (7.4%) were included in the requirement elicitation process. There, we identified 220 requirements, which were covered by 314 references. We assigned the requirements to different data life cycle categories as follows: 25% (55/220) to data acquisition, 35.9% (79/220) to data processing, 12.7% (28/220) to data storage, 9.1% (20/220) to data analysis, 6.4% (14/220) to metadata management, 2.3% (5/220) to data lineage, 3.2% (7/220) to data traceability, and 5.5% (12/220) to data security.

CONCLUSIONS

The aim of this study was to present a cross-section of functional data integration-related requirements defined in the literature by other researchers. The aim was achieved with 220 distinct requirements from 61 publications. We concluded that scientific publications are, in principle, a reliable source of information for functional requirements with respect to medical data integration. Finally, we provide a broad catalog to support other scientists in the requirement elicitation phase.

Implementation of a Knowledge Management System in Mental Health and Addictions: Mixed Methods Case Study

BACKGROUND

Mental health and addictions (MHA) care is complex and individualized and requires coordination across providers and areas of care. Knowledge management is an essential facilitator and common challenge in MHA services.

OBJECTIVE

This paper aimed to describe the development of a knowledge management system (KMS) and the associated processes in 1 MHA program. We also aimed to examine the uptake and use, satisfaction, and feedback on implementation among a group of pilot testers.

METHODS

This project was conducted as a continuous quality-improvement initiative. Integrated stakeholder engagement was used to scope the content and design the information architecture to be implemented using a commercially available knowledge management platform. A group of 30 clinical and administrative staff were trained and tested with the KMS over a period of 10 weeks. Feedback was collected via surveys and focus groups. System analytics were used to characterize engagement. The content, design, and full-scale implementation planning of the KMS were refined based on the results.

RESULTS

Satisfaction with accessing the content increased from baseline to after the pilot. Most testers indicated that they would recommend the KMS to a colleague, and satisfaction with KMS functionalities was high. A median of 7 testers was active each week, and testers were active for a median of 4 days over the course of the pilot. Focus group themes included the following: the KMS was a solution to problems for staff members, functionality of the KMS was important, quality content matters, training was helpful and could be improved, and KMS access was required to be easy and barrier free.

CONCLUSIONS

Knowledge management is an ongoing need in MHA services, and KMSs hold promise in addressing this need. Testers in 1 MHA program found a KMS that is easy to use and would recommend it to colleagues. Opportunities to improve implementation and increase uptake were identified. Future research is needed to understand the impact of KMSs on quality of care and organizational efficiency.

The impact of knowledge management on the quality of services in nursing homes

Introduction

Current management strategies in nursing homes (NH) aim to ensure effective knowledge management (KM) in order to provide both best possible services to residents, and care for staff in NH. Teamwork in NH is essential for effective delivery of the highest quality of services. As a result, NH are increasingly adopting KM activities to enable knowledge creation, storage, transfer, and implementation in an environment facing many challenges such as lack of staff, increasing demands, and expectations of residents.

Methods

In our quantitative study, we examined how two Slovenian state NH that adopted the E-Qalin quality management model (European quality-improving learning model) adapted their KM, and what impact their quality management system and KM activities actually have on the quality of services. Furthermore, we examined how two Slovenian private NH that have not adopted a certified quality management program (like ISO or E-Qalin) tackle the issue of quality of services from the KM perspective. The sample consisted of 80 nursing professionals. In every NH that is part of this study, teamwork is essential and every individual that was involved in our survey is part of a team. In our study, we analyzed relationships between individual variables using linear regression.

Results

We found a significant and positive relationship between knowledge creation, transfer, and implementation in NH with and without the E-Qalin certificate. We found a significant and positive relationship between knowledge storage and the quality of services only in NH without a E-Qualin certificate. It seems that when connecting multidisciplinary fields such as NH and KM, there is still a lack of awareness and knowledge on the topic of KM, which might be one of the reasons for some bias in the answers provided by respondents. We also found different teamwork approaches in NH with and without a E-Qalin certificate. Our research results therefore emphasize the need to gain additional insight into quality management and KM in the environment of NH.

Conclusion

Teamwork based on knowledge storage, transfer, the implementation of existing knowledge, and creation of new knowledge are essential for well-trained professionals and, as a result, contribute to continuous improvement in service quality. Implementation of KM is well received by NH, and enables them to better meet the needs and expectations of residents. More importantly, nursing staff also share and pass on tacit knowledge through teamwork. Finally, all of the NH in our study that implemented quality and KM activities noted an improvement in the quality of services that are offered to residents in practice. Our results indicate that the topic of KM in NH is interesting, and it has a positive impact on the quality of services in practice. However, the problem of awareness and knowledge on the topic of KM in the environment of NH still exists, highlighting the need for further research, additional insight, and dissemination of knowledge to every interested stakeholder functioning in the field of NH. The results of the study make an important contribution to the research of KM in NH, focusing on the transfer of tacit knowledge.

A web-based care assistant for caregivers of the elderly: Development and pilot study

Background

The aging population in Korea has driven a surge in demand for elderly care services, leading to significant growth in elderly welfare facilities, particularly Adult Daycare Centers (ADCs). However, despite advancements in care facilities, caregivers continue to face challenges in providing suitable elderly care due to difficulties arising from gaps in the latest information on the elderly and their coping abilities.

Objective

The objective of this study is to develop and evaluate the effectiveness of the elderly care assistant system, which facilitates the sharing of information and knowledge necessary for elderly care among caregivers.

Methods

The ECA system was designed to support knowledge sharing through a knowledge management system based on an ontological knowledge model, with a web-based user interface for improved accessibility. A field trial was conducted at ADC in Seoul from August 17 to September 21, with eight caregivers participating. A mixed-methods approach, involving both surveys and interviews, was employed to gauge the ECA system's effectiveness.

Results

The study found that the use of the ECA was beneficial in promoting knowledge sharing among caregivers. Additionally, caregivers noted the potential benefits of using the ECA in conjunction with family caregivers, who can offer additional information and perspectives on elderly care.

Conclusions

This study presents preliminary evidence of the potential benefits of a care knowledge sharing system among various caregivers in elderly care. Although the elderly care assistant effectively promotes knowledge sharing, more research is needed to fully understand its impact on elderly care outcomes.

Impact of organizational characteristics on employees' entrepreneurial orientation with mediating role of knowledge process capabilities and moderating role of psychological factors in the era of COVID-19

Purpose

The study aims to investigate the impact of organizational characteristics and knowledge process capabilities on the entrepreneurial orientation among the manufacturing industry employees in the Punjab province of Pakistan. Additionally, this study has examined the mediating role of knowledge process capabilities in the relationship between organizational characteristics and entrepreneurial orientation among those employees and the moderating effect of psychological factors on the relationship between organizational characteristics and entrepreneurial orientation.

Design methodology and approach

The study has employed the survey-based methodology and data are collected with the aid of self-administered questionnaires. This study utilized the partial least squares structural equation modeling (PLS-SEM) to establish the validity and reliability of the measurement model and test the relationships. The response rate of the current study is 64.66%.

Findings

The study findings have shown mixed results as one of the organizational characteristics, namely, resource and time availability is an insignificant determinate of entrepreneurial orientation among the manufacturing industry employees in Punjab province of Pakistan. Whereas management support, rewards, work discretion, and knowledge process capabilities appear as significant determinates of employees' entrepreneurial orientation. The results indicated that knowledge process capabilities have a mediating role in the relationship between organizational characteristics and employees' entrepreneurial orientation. Moreover, psychological factors, namely, propensity to take risk and locus of control have a significant moderating role on the relationship of management support, rewards, and work discretion with employees' entrepreneurial orientation.

Practical implications

The empirical insights on the study are valuable for policymakers and managers in manufacturing sectors of developing countries, such as Pakistan, to enrich their work performance through the understanding impact of organizational characteristics and knowledge process capabilities on the entrepreneurial orientation with moderating role of psychological factors.

Originality and value

Studies on the mediating impact of knowledge process capabilities on the linkage between organizational characteristics and entrepreneurial orientation with the moderating role of psychological factors remain limited. This study is one of the earliest studies that investigate these inter-relationships.

The influence of leader-signaled knowledge hiding on tourism employees' work withdrawal behavior: A moderated mediating model

Even though organizations encourage the dissemination of knowledge and information among organizational members, the phenomenon of knowledge hiding still exists widely in organizations. The consequences of leader-signaled knowledge hiding are more destructive to the workplace than the consequences of employees' knowledge hiding. It is particularly necessary to explore the influence mechanism of leader-signaled knowledge hiding on employees' work behavior. Drawing on Conservation of Resources theory, this study establishes a moderated mediation model with emotional exhaustion as a mediating variable and supervisor-subordinate guanxi as a moderating variable. This study focuses on the consequences of leader-signaled knowledge hiding and divides leader-signaled knowledge hiding into self-practiced knowledge hiding and explicit knowledge hiding. Based on the results of 440 questionnaires from tourism employees, it is shown that leader-signaled knowledge hiding has a positive impact on employees' work withdrawal behavior. Specifically, leader's self-practiced knowledge hiding has a greater direct impact on employees' work withdrawal behavior, while leader's explicit knowledge hiding has a greater direct impact on employees' emotional exhaustion. Emotional exhaustion plays a key mediating role in the relationship between leader-signaled knowledge hiding (i.e., self-practiced knowledge hiding and explicit knowledge hiding) and employees' work withdrawal behavior. Supervisor-subordinate guanxi significantly moderates the positive relationship between leader-signaled knowledge hiding (i.e., self-practiced hiding and explicit knowledge hiding) and employees' emotional exhaustion. This study is an extension of previous research on knowledge hiding. The results provide a reference for leaders to deal with knowledge hiding and improve organizational knowledge management ability.

The role of knowledge management and sharing in cooperatives practices toward National Economic Recovery in the COVID-19 pandemic era

The National Economic Recovery (NER) Program is one of the responses initiated by the government in Indonesia's economic recovery due to the impact of COVID-19, the target is to reduce the activities of affected communities, including cooperatives. One of the priority aspects for the program to run well and smoothly is the role of institutions in knowledge management and process sharing. This paper examines the role of knowledge management and sharing in cooperatives with qualitative limitations at the knowledge process level, knowledge design level, strategic interaction level, social participation level, academic and scientific ecosystem level, and network and partnership level. A qualitative description becomes a research method with secondary data in the form of a comparison of cooperatives in 2019-2021 as a representation before and during the COVID-19 pandemic. COVID-19 secondary data for 20 months from April 2020 to September 2022 in Indonesia dynamically also support sharpening the analysis. The source of cooperative data is from the publications of the Ministry of Cooperatives and SMEs, while the source of COVID-19 data comes from the publication of the COVID-19 Task Force. The analysis is carried out by building qualitative aspects into quantitative ones that can be formulated in the form of cooperative applications. The result is that the application of the knowledge process level, knowledge design level, strategic interaction level, social participation level, academic and scientific ecosystem level, and network and partnership level can improve decision-making, capture, share, and measure institutional knowledge for the success of the NER Program.

A survey of organizational structure and operational practices of elite youth football academies and national federations from around the world: A performance and medical perspective

Aim

Medical and performance units are integral components of player development programmes in elite football academies. Nevertheless, the nature of the operational processes implemented by practitioners within clubs and national federations remains unexplored. The aim of the present study, therefore, was to survey elite youth professional football academies from around the world regarding the operational processes adopted by their medical and performance units.

Methods

Of the 50 organizations invited, 10 national federations and 25 clubs took part in the survey resulting in a response rate of 70% (95% confidence interval, 56%-81%). The respondents represented three groups: senior club and academy management, performance, and medical staff.

Results

The majority (60%-90%) of clubs and national federations reported strategic alignment between senior and academy medical and performance units as well as between academy medical and performance units. Survey responses indicated substantial heterogeneity in the composition and number of medical and performance professionals employed in academies. The majority of respondents agreed their medical and performance departments were effective in utilizing staff knowledge and external sources of knowledge to inform their practice (56%-80%). Performance staff (40%-50%) and physiotherapists (30%-32%) were deemed most influential in injury prevention programmes. During the return-to-play process, the influence of specific practitioners in the medical and performance units was dependent upon the phase of return-to-play. Shared decision-making was common practice amongst performance and medical staff in injury prevention and return-to-play processes. Medical and performance data were generally centralized across the first team and academy in majority (50%-72%) of clubs and national federations. Data were integrated within the same data management system to a higher degree in clubs (68%) vs. national federations (40%). Research and development activity were reported for most academies (50%-72%), and generally led by the head of performance (37%) or team doctor (21%). Research activities were largely undertaken via internal staff (~100%), academic collaborations (50%-88%) and/or external consultants and industry partnerships (77%-83%) in the national federation and clubs.

Conclusion

Collectively, these findings provide a detailed overview regarding key operational processes delivered by medical and performance practitioners working in elite football academies.

Standards and Principles to Enable Interoperability and Integration of 5P Medicine Ecosystems

Health and social care ecosystems are currently a matter of foundational organizational, methodological and technological paradigm changes towards personalized, preventive, predictive, participative precision (5P) medicine. For designing and implementing such advanced ecosystems, an understanding and correct representation of structure, function and relations of their components is inevitable. To guarantee consistent and conformant processes and outcomes, the specifications and principles must be internationally standardized. Summarizing the first author's Keynotes over the last 15 years of pHealth conferences, the paper discusses concepts, standards and principles of 5P medicine ecosystems including their design and implementation. Furthermore, a guidance to find and to deploy corresponding international standards in practical projects is provided.

Evolution of Knowledge Structure in an Emerging Field Based on a Triple Helix Model: the Case of Smart Factory

As an important emerging field of science and technology, smart factories have received attention from academia, industry, and the government. Currently, although some scholars have examined the research trends in the field of smart factories, we have not found any research on the analysis of the knowledge output of relevant organizations among smart factories. An urgent problem is whether cooperation between organizations with different characteristics will affect the overall development of intelligent factories. This study aimed to perform a comprehensive analysis of the knowledge content and structure of a smart factory and the characteristics of its knowledge production structure. We also evaluated whether the triple helix structure was stable, and whether the research topics of different issues were similar. The triple helix model was used to study three aspects of the knowledge structure of a smart factory: university, government, and industry. Furthermore, the research contents of different organizations were analyzed in detail using network analysis. It was found that research funding at the national level leads to a knowledge spillover effect. After 2015, a triple helix knowledge structure was formed in the field of smart factories, which maintained a certain stability until 2020. The output of triple helix cooperation research has a significant impact. University research focuses more extensively and intensively on technology, government research on macro aspects, and Industry 5.0 has become a hotspot in industry research. The government needs to provide new platforms to integrate and promote the development of smart factories.

Innovation ambidexterity and knowledge redundancy: The moderating effects of transactional leadership

Entering the challenging and promising knowledge era, it is clear that enterprises should leverage knowledge management activities in improving innovation performance to maintain competitive advantages. This study sheds light on the improvement path of innovation ambidexterity (i.e., exploratory and exploitative innovation) from the perspectives of knowledge redundancy and typical leadership style. It is noted that we determined the research theme through quantitative analysis and conducted qualitative analysis through 209 questionnaire data collected from respondents in different regions and industries in China. The empirical results indicated that knowledge redundancy significantly improves exploratory and exploitative innovation, and transactional leadership negatively moderates the above relationships. This study is of managerial implications to encourage employees to fully master and apply the existing knowledge to strengthen their innovation abilities in value creation. We also contribute to the theories pertaining to knowledge management, innovation, and ambidexterity by providing a deeper understanding of the influencing mechanism of knowledge redundancy in innovation ambidexterity while elaborating on the indirect effects of transactional leadership.

How Does Organizational Unlearning Influence Product Innovation Performance? Moderating Effect of Environmental Dynamism

Product innovation integrates technology, knowledge, management practices, and market innovation, making it essential to gain a competitive advantage. Effective management of dynamic knowledge, which is the foundation of and driving force for product innovation, is a powerful tool that allows a firm to successfully innovate, adapt to environmental changes, and improve its competitiveness. In the "nanosecond age," unlearning and learning in an organization is crucial to a firm's ability to promptly update its organizational knowledge and maintain innovation vitality. Based on the dynamic knowledge management perspective, this study integrates and constructs a theoretical model with environmental dynamism as the moderating variable, discusses the impact of organizational unlearning on product innovation performance, and empirically analyzes 208 valid questionnaires in the Yangtze River Delta using the multiple regression method. The results show that organizational unlearning shares a positive relationship with dynamic capabilities and product innovation performance. Dynamic capability is positively related to product innovation performance and has a partial mediating effect on the relationship between organizational unlearning and product innovation performance. Environmental dynamism shares a positive moderating effect on the relationship between organizational unlearning and product innovation performance. This study deepens the existing research on the factors that influence product innovation performance, which may help firms improve their dynamic knowledge management and product innovation performance.

Learning from public health practice: the development of a library of community-centered practice examples

BACKGROUND

Valuable learning derived from public health practice can be captured through practice-based case studies, also known as practice examples. Practice examples of participatory interventions supplement the evidence base by providing information on the complexities of implementation in communities. This paper reports on a Public Health England project to build a bank of community-centered practice examples based on robust processes of collection and curation.

METHODS

The multidisciplinary project had three phases: (i) development and piloting a process to collect practice examples, (ii) refining review processes and gathering further examples via national and regional teams (iii) maintenance of an accessible collection on the library platform.

RESULTS

The project resulted in a searchable collection of 55 practice examples illustrating participatory approaches in public health practice. The collection shows diversity in terms of settings, population, focus and type of approach used to work with communities. A secondary outcome was the development of generic guidance and templates for further collections on public health topics.

CONCLUSIONS

This project illustrates how information on the implementation of community-centered approaches in real-life contexts can be gathered and disseminated through a transferable process. Having collections of practice examples supports knowledge exchange in public health as learning is shared.

Implementation of Knowledge Management in Higher Education: A Comparative Study of Private and Government Universities in India and Abroad

All academic institution contributes to the corpus of knowledge in some way. To keep expanding, the resulting information and data must be collected in a single area and shared throughout society. Knowledge developed in academic institutions is not adequately preserved or gathered, according to research. It has also been observed that the majority of the content or knowledge developed in academic institutes is unknown to the general public and is categorized as a literature review, which may be useful if proper coding is kept in the organization. The purposeful integration of humans, processes, and technology dedicated to developing, capturing, and executing an organization's creative infrastructure is known as a Knowledge Management (KM) method. Knowledge Management supports educational institutes in refining their capability to acquire and share information and knowledge, applying it to problem resolution and promoting research and continuous development. This paper advocates a holistic strategy for finding, analyzing, recording, retrieving, and distributing the whole of an administration's data properties. Databases, records, procedures, regulations and hitherto un-captured knowledge and talent in ordinary employees are samples of these properties. Higher education institutions can use KM as a tried and true approach to dealing with their problems. KM aids in the motivation of research as well as the promotion of partnerships and innovations in the future.

A survey of computable biomedical knowledge repositories

Introduction

While data repositories are well-established in clinical and research enterprises, knowledge repositories with shareable computable biomedical knowledge (CBK) are relatively new entities to the digital health ecosystem. Trustworthy knowledge repositories are necessary for learning health systems, but the policies, standards, and practices to promote trustworthy CBK artifacts and methods to share, and safely and effectively use them are not well studied.

Methods

We conducted an online survey of 24 organizations in the United States known to be involved in the development or deployment of CBK. The aim of the survey was to assess the current policies and practices governing these repositories and to identify best practices. Descriptive statistics methods were applied to data from 13 responding organizations, to identify common practices and policies instantiating the TRUST principles of Transparency, Responsibility, User Focus, Sustainability, and Technology.

Results

All 13 respondents indicated to different degrees adherence to policies that convey TRUST. Transparency is conveyed by having policies pertaining to provenance, credentialed contributors, and provision of metadata. Repositories provide knowledge in machine-readable formats, include implementation guidelines, and adhere to standards to convey Responsibility. Repositories report having Technology functions that enable end-users to verify, search, and filter for knowledge products. Less common TRUST practices are User Focused procedures that enable consumers to know about user licensing requirements or query the use of knowledge artifacts. Related to Sustainability, less than a majority post describe their sustainability plans. Few organizations publicly describe whether patients play any role in their decision-making.

Conclusion

It is essential that knowledge repositories identify and apply a baseline set of criteria to lay a robust foundation for their trustworthiness leading to optimum uptake, and safe, reliable, and effective use to promote sharing of CBK. Identifying current practices suggests a set of desiderata for the CBK ecosystem in its continued evolution.

Roadmapping 5.0 Technologies in Agriculture: A Technological Proposal for Developing the Coffee Plant Centered on Indigenous Producers' Requirements from Mexico, via Knowledge Management

The coffee plant, with more than 40 billion shrubs, 9 million tons of grains produced, and 80% of its production accounted for by small-scale producers, has been severely damaged since the emergence of Hemileia vastatrix and Hypothenemus hampei. Despite technological support, these pests have caused 20% to 40% production losses, a 50% to 60% deficit in performance, and a cost of between USD 70 million and USD 220 million to the world economies, which forces us to rethink actions centered on people as the key elements to develop appropriate solutions. For this, the present study presents a technological proposal centered on small indigenous coffee producer requirements for introducing Industry 5.0 technologies, considering roadmapping, knowledge management, statistical analysis, and the social, productive, and digital contexts of five localities in Mexico. The results show a correlation between monitoring and control, soil analysis, the creation of organic fertilizers, accompaniment, and coffee experimentation, as the actions to be implemented, proposing the introduction of a mobile application; sensors, virtual platforms, dome-shaped greenhouses, and spectrophotometric technology as relevant technologies centered on indigenous coffee producers' requirements. This study is important for policymakers, academics, and producers who wish to develop strategies centered on people in Mexico and the world.

Emotional Intelligence and Knowledge Hiding Behaviors: The Mediating Role of Job Stress

Emotion is fundamental to human experiences influencing our daily activities including cognition, communication, learning, and decision-making, but the effect of emotion on knowledge management in firms receives a little attention, especially in the field of knowledge hiding behaviors. Drawing on the cognitive appraisal theory of stress and coping as a unique theoretical lens to explicate how knowledge hiding behaviors happen, this study investigates the mediating effect of job stress in the relationship between emotional intelligence (EI) and knowledge hiding behaviors. We conducted a field study with 193 full-time employees in smart healthcare firms to test our hypotheses. Results supported the mediating effects of job stress in accounting for the relationship between EI and knowledge hiding behaviors. Our study is among the first to examine how emotional intelligence predicts knowledge hiding behaviors. This study contributes to the literature on knowledge management and emotional intelligence.

Representing Normal and Abnormal Physiology as Routes of Flow in ApiNATOMY

We present (i) the ApiNATOMY workflow to build knowledge models of biological connectivity, as well as (ii) the ApiNATOMY TOO map, a topological scaffold to organize and visually inspect these connectivity models in the context of a canonical architecture of body compartments. In this work, we outline the implementation of ApiNATOMY’s knowledge representation in the context of a large-scale effort, SPARC, to map the autonomic nervous system. Within SPARC, the ApiNATOMY modeling effort has generated the SCKAN knowledge graph that combines connectivity models and TOO map. This knowledge graph models flow routes for a number of normal and disease scenarios in physiology. Calculations over SCKAN to infer routes are being leveraged to classify, navigate and search for semantically-linked metadata of multimodal experimental datasets for a number of cross-scale, cross-disciplinary projects.

From Evidence Synthesis to Transfer: Results from a Qualitative Case Study with the Perspectives of Participants

The increase in health research brings challenges to the production, synthesis, and use of research findings in clinical practice. In the case of undergraduate training in nursing, it is necessary to think about the curricular contents and create opportunities to develop skills for learning evidence-based practice. The objective of this study was to analyze nurses’ perspectives regarding the effects of their participation in a project of translation of knowledge into clinical practice during undergraduate nursing education, specifically involving knowledge, attitudes, and competencies related to the use of evidence. This is a qualitative case study grounded in the knowledge-to-action theoretical framework. The participants were 13 nurses who were involved in a project about the translation of knowledge into clinical practice during the last term of their undergraduate course. The data were collected by applying interviews between December 2020 and April 2021. Content analysis was carried out by using the qualitative data analysis software tool webQDA^®. The following categories emerged from the content analysis carried out on the material gathered during the interviews: understanding evidence; learning how to use evidence; transferring evidence; adjusting to the context; and observing the advantages of evidence-based practice. Extracurricular activities were perceived as an opportunity to understand what evidence is and observe in loco the advantages of health care for clients, teams, and services. During the project, the participants developed cross-sectional competencies and envisaged changes to their professional activity as a result of changes in their attitude regarding evidence and its use. We concluded that the opportunity to develop evidence-related activities allows for the development of skills and influences the attitude towards evidence-based practice and knowledge use.

Linkages Between Knowledge Management Process and Corporate Sustainable Performance of Chinese Small and Medium Enterprises: Mediating Role of Frugal Innovation

In the contemporary world, frugal innovation (FI) is the most discussed area to enhance corporate sustainable performance (CSP) in manufacturing firms. The knowledge management process (KMP) is also a key determinant of FI. Existing literature is limited to knowledge management (KM) and its impact on CSP. This study aims to determine the effect of the KMP (acquisition, dissemination, and application) on sustainable corporate performance with the association of FI. The survey method was used to collect data from 356 small and medium enterprises (SMEs) in China. Structure equation modeling was applied to obtain the results of collected data. Results show that all three dimensions of KM have a significant impact on CSP. Furthermore, FI also has a significant and positive impact on CSP. Results further show that FI partially mediates the relationship of the knowledge dissemination, knowledge application and sustainable corporate performance but no mediation role FI was found between knowledge acquisition and CSP. The findings of this study will provide useful insights for experts and manufacturers. It will help to understand the role of KM in their organizational behavior by being an economical manufacturing process. This study underscored the importance of the KMP to policymakers. In countries such as China that have global orders, KM is an essential determinant of FI. KM is a tool used to achieve CSP goals inside and outside of an enterprise, thus the development firms need to focus on KM.

The Impact of Absorptive Capacity on Innovation: The Mediating Role of Organizational Learning

Although the relevant literature has already demonstrated the impact that absorptive capacity has on companies’ innovation capacity, we have found few studies that analyze the role of learning capability in this relationship. The main objective of this study was to examine the role of organizational learning in this relationship. For this purpose, a quantitative research approach was used. A total of 306 valid questionnaires were obtained from small and medium-sized Spanish companies in different sectors. The collected data were analyzed using the multivariate Partial Least Square (PLS) quantitative structural equation technique. According to the result, absorption capacity turns into innovation mainly when learning capacity is involved in this process. This study provides empirical evidence of this relationship and fills this gap. It can also help organizations understand and clarify what would be the most appropriate way in to manage knowledge to improve their innovation levels.

Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies

Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances in data science and industry 4.0 present new unprecedented opportunities for the industry to leverage, share, and reuse safety information more efficiently. However, potential benefits of information sharing are missed due to accident data being inconsistently formatted, non-machine-readable, and inaccessible. Hence, learning opportunities and insights cannot be captured and disseminated to proactively prevent accidents. To address these issues, a novel information sharing system is proposed utilizing linked data, ontologies, and knowledge graph technologies. An ontological approach is developed to semantically model safety information and formalize knowledge pertaining to accident cases. A multi-algorithmic approach is developed for automatically processing and converting accident case data to a resource description framework (RDF), and the SPARQL protocol is deployed to enable query functionalities. Trials and test scenarios utilizing a dataset of 200 real accident cases confirm the effectiveness and efficiency of the system in improving information access, retrieval, and reusability. The proposed development facilitates a new "open" information sharing paradigm with major implications for industry 4.0 and data-driven applications in construction safety management.