Using knowledge brokering activities to promote allied health clinicians' engagement in research: a qualitative exploration

INTRODUCTION

Engaging clinicians in research can improve healthcare organisational performance, patient and staff satisfaction. Emerging evidence suggests that knowledge brokering activities potentially support clinicians' research engagement, but it is unclear how best they should be used.

OBJECTIVES

This study explores how embedded researchers utilised knowledge brokering activities to engage research interested clinicians in research.

DESIGN

A longitudinal qualitative interview based study was co-designed to investigate how experienced research fellows utilise knowledge brokering activities to facilitate allied health clinicians' engagement in research.

SETTING

In one large tertiary level, regional Australian health service, research fellows were matched with research interested clinicians.

METHODS

Qualitative analysis of three longitudinal semi-structured interviews for each research fellow was undertaken. Initial descriptions of their utilisation of knowledge brokering activities were deductively coded. Reflexive thematic analysis was utilised to generate a shared explanation of clinicians' engagement in research.

RESULTS

Three research fellows facilitated 21 clinicians' participation in and leadership of clinical research projects over 12 months. They utilised all ten key knowledge brokering activities with each clinician, with differing patterns and examples. Research fellows described using linkage and exchange activities of communicating and collaborating with key stakeholders, and they tailored knowledge management products for individual's engagement. Further, they described a broader learning journey where they clarified and monitored individuals' capabilities, motivation and their contextual support for research engagement.

CONCLUSION

When research fellows chose and tailored knowledge brokering activities to align and extend clinicians' research capabilities and motivation, they created individualised learning curriculums to support clinicians' participation in and leadership of local research projects. Health and academic leaders should consider structuring embedded researcher positions to include knowledge brokering roles and activities, specifically for research interested clinicians who are ready to participate in and lead research projects.

Systematic Knowledge Management of Construction Safety Standards Based on Knowledge Graphs: A Case Study in China

Construction safety standards (CSS) have knowledge characteristics, but few studies have introduced knowledge graphs (KG) as a tool into CSS management. In order to improve CSS knowledge management, this paper first analyzed the knowledge structure of 218 standards and obtained three knowledge levels of CSS. Second, a concept layer was designed which consisted of five levels of concepts and eight types of relationships. Third, an entity layer containing 147 entities was constructed via entity identification, attribute extraction and entity extraction. Finally, 177 nodes and 11 types of attributes were collected and the construction of a knowledge graph of construction safety standard (KGCSS) was completed using knowledge storage. Furthermore, we implemented knowledge inference and obtained CSS planning, i.e., the list of standard work plans used to guide the development and revision of CSS. In addition, we conducted CSS knowledge retrieval; a process which supports interrogative input. The construction of KGCSS thus facilitates the analysis, querying, and sharing of safety standards knowledge.

Embedding Learning in a Learning Health Care System to Improve Clinical Practice

PROBLEM

In an ideal learning health care system (LHS), clinicians learn from what they do and do what they learn, closing the evidence-to-practice gap. In operationalizing an LHS, great strides have been made in knowledge generation. Yet, considerable challenges remain to the broad uptake of identified best practices. To bridge the gap from generating actionable knowledge to applying that knowledge in clinical practice, and ultimately to improving outcomes, new information must be disseminated to and implemented by frontline clinicians. To date, the dissemination of this knowledge through traditional avenues has not achieved meaningful practice change quickly.

APPROACH

Vanderbilt University Medical Center (VUMC) developed QuizTime, a smartphone application learning platform, to provide a mechanism for embedding workplace-based clinician learning in the LHS. QuizTime leverages spaced education and retrieval-based practice to facilitate practice change. Beginning in January 2020, clinician-researchers and educators at VUMC designed a randomized, controlled trial to test whether the QuizTime learning system influenced clinician behavior in the context of recent evidence supporting the use of balanced crystalloids rather than saline for intravenous fluid management and new regulations around opioid prescribing.

OUTCOMES

Whether spaced education and retrieval-based practice influence clinician behavior and patient outcomes at the VUMC system level will be tested using the data currently being collected.

NEXT STEPS

These findings will inform future directions for developing and deploying learning approaches at scale in an LHS, with the goal of closing the evidence-to-practice gap.

The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System

OBJECTIVES

We examine the knowledge ecosystem of COVID-19, focusing on clinical knowledge and the role of health informatics as enabling technology. We argue for commitment to the model of a global learning health system to facilitate rapid knowledge translation supporting health care decision making in the face of emerging diseases.

METHODS AND RESULTS

We frame the evolution of knowledge in the COVID-19 crisis in terms of learning theory, and present a view of what has occurred during the pandemic to rapidly derive and share knowledge as an (underdeveloped) instance of a global learning health system. We identify the key role of information technologies for electronic data capture and data sharing, computational modelling, evidence synthesis, and knowledge dissemination. We further highlight gaps in the system and barriers to full realisation of an efficient and effective global learning health system.

CONCLUSIONS

The need for a global knowledge ecosystem supporting rapid learning from clinical practice has become more apparent than ever during the COVID-19 pandemic. Continued effort to realise the vision of a global learning health system, including establishing effective approaches to data governance and ethics to support the system, is imperative to enable continuous improvement in our clinical care.

Modeling the mediating roles of self-directed learning and knowledge management processes between emotional intelligence and learning outcomes in higher education

OBJECTIVE

Drawing on the knowledge-based view and ability-based theories of emotional intelligence (EI), in this study, we investigate the effects of EI on learning outcomes related to academics and administrators in Chinese research universities and we also test the direct association between learning outcomes and creative performance. In addition, we examine the mediating role of self-directed learning (SDL) and knowledge management processes (KMPs) on the relationship between EI and learning outcomes.

METHODS

The sample, for this study, consisted of 547 academic and administrative personnel at Chinese higher educational institutions (HEIs), and the hypothesized associations were examined through partial least squares structural equation modeling.

RESULTS

Our results indicated that EI has no significant influence on learning outcomes. However, an indirect relationship between EI and learning outcomes is established through SDL and KMPs.

CONCLUSIONS

This study strengthens the professional understanding of EI and supports that the personnel at HEIs should value SDL and KMPs, which in turn enhances their learning outcomes. Although EI has received increased importance in higher education institutions, there are few studies that have investigated the relationship of EI, SDL, KMP, and learning outcomes. This is one of the initial studies that has empirically examined the interface of EI and learning outcomes in HEIs and also provides timely insights into the understanding of the mediating role of SDL and KMP.

How Environmental Knowledge Management Promotes Employee Green Behavior: An Empirical Study

As environmental protection has gradually become the focus of enterprises' development, employee green behavior becomes an important and key antecedent to study this issue, but there have been less studies conducted with knowledge management. As a result, drawing on the theory of planned behavior and the organizational support theory, this study investigates how environmental knowledge practices (environmental knowledge sharing and environmental knowledge application) affect employee green behavior by using a questionnaire survey administered to 266 employees in China to reveal their complex relationship mechanism. The results show that environmental knowledge application and environmental knowledge sharing have a positive effect on employee green behavior; environmental behavioral intention mediates the relationship between environmental knowledge application and employee green behavior, and between environmental knowledge sharing and employee green behavior; green perceived organizational support positively moderates the relationship between environmental behavioral intention and employee green behavior. The findings shed new light on the development of employee green behavior literature and provide practical reference for strategies related to environmental protection for managers.

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development

The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. Through a questionnaire survey, the construction of the knowledge management model of construction-related enterprises and engineering cost consulting enterprises is discussed. First, through the analysis and discussion of ontology-based data mining (OBDM) algorithm and association analysis (Apriori) algorithm, a data mining algorithm (ML-AR algorithm) on account of ontology-based multilayer association and machine learning is proposed. The performance of the various algorithms is compared and analyzed. Second, based on the knowledge management level, analysis and statistics are conducted on the levels of knowledge acquisition, sharing, storage, and innovation. Finally, according to the foregoing, the knowledge management model based on engineering cost consulting enterprises is built and analyzed. The results show that the reliability coefficient of this questionnaire is above 0.8, and the average extracted value is above 0.7, verifying excellent reliability and validity. The efficiency of the ML-AR algorithm at both the number of transactions and the support level is better than the other two algorithms, which is expected to be applied to the enterprise knowledge management model. There is a positive correlation between each level of knowledge management; among them, the positive correlation between knowledge acquisition and knowledge sharing is the strongest. The enterprise knowledge management model has a positive impact on promoting organizational innovation capability and industrial development. The research work provides a direction for the development of enterprise knowledge management and the improvement of innovation ability.

Informing epidemic (research) responses in a timely fashion by knowledge management - a Zika virus use case

The response of pathophysiological research to emerging epidemics often occurs after the epidemic and, as a consequence, has little to no impact on improving patient outcomes or on developing high-quality evidence to inform clinical management strategies during the epidemic. Rapid and informed guidance of epidemic (research) responses to severe infectious disease outbreaks requires quick compilation and integration of existing pathophysiological knowledge. As a case study we chose the Zika virus (ZIKV) outbreak that started in 2015 to develop a proof-of-concept knowledge repository. To extract data from available sources and build a computationally tractable and comprehensive molecular interaction map we applied generic knowledge management software for literature mining, expert knowledge curation, data integration, reporting and visualization. A multi-disciplinary team of experts, including clinicians, virologists, bioinformaticians and knowledge management specialists, followed a pre-defined workflow for rapid integration and evaluation of available evidence. While conventional approaches usually require months to comb through the existing literature, the initial ZIKV KnowledgeBase (ZIKA KB) was completed within a few weeks. Recently we updated the ZIKA KB with additional curated data from the large amount of literature published since 2016 and made it publicly available through a web interface together with a step-by-step guide to ensure reproducibility of the described use case. In addition, a detailed online user manual is provided to enable the ZIKV research community to generate hypotheses, share knowledge, identify knowledge gaps, and interactively explore and interpret data. A workflow for rapid response during outbreaks was generated, validated and refined and is also made available. The process described here can be used for timely structuring of pathophysiological knowledge for future threats. The resulting structured biological knowledge is a helpful tool for computational data analysis and generation of predictive models and opens new avenues for infectious disease research. ZIKV Knowledgebase is available at www.zikaknowledgebase.eu.

Toward Business Process Innovation in the Big Data Era: A Mediating Roles of Big Data Knowledge Management

While recent debate recognizes the importance of big data (BD) and knowledge management (KM) in firm performance, there has been a paucity of literature regarding big data analytics technological (BDAT) and knowledge exploration-exploitation capabilities (KEEC) in the context of business process innovation (BPI). This study aims to identify whether BD and KM can be established in these emerging issues. We used a survey questionnaire to collect data from various firms and industries. We used structural equation modeling (SmartPLS and SPSS) to validate the research model with a sample of 155 companies in a developing country such as Indonesia. The result demonstrates a positive relationship between KEEC and BPI, followed by several significant findings such as BDAT with KEEC; KEEC on big data knowledge management (BDKM); BDKM and BPI; and BDAT on BDKM. In contrast, BDAT is nonsignificant for direct relationship on BPI, and interestingly, it becomes a significant result after mediated by BDKM. Similarly, BDKM has successfully mediated the relationship between KEEC and BPI. The management level ideally develops and increases such a knowledge creation/acquisition practices and BDAT in an organization to gain more meaningful benefits from these two capabilities. BDAT, KEEC, and BDKM simultaneously are a clear antecedent approach, which ultimately results in flexibility, effectiveness, and effectivity of BPI. The cases of this research are profit firms in a developing country such as Indonesia. A future study could be considered in different settings such as type of industries or more specific company's type, the economy level of countries (comparing between developed and developing countries), and environmental dynamical. A novel field of study is the inclusion of knowledge exploration-exploitation and BDAT that drives BPI.

The legacy of MeNZB and possible implications for COVID-19 vaccination

It is now over a decade since the meningococcal B vaccine, MeNZB, was in routine use in New Zealand. From July 2004 until June 2008 it was administered in a three-dose schedule to over a million individuals, aged six weeks to 20 years, to provide protection against the epidemic strain of group B Meningococci. The cost of the campaign, including the development of the vaccine was substantial, in excess of $200M, but it contributed to a reduced incidence of meningococcal infections along with a reduction in morbidity and mortality. The campaign led to the development of a national immunisation register (NIR), which is still in existence today. As well as considering the legacies of the MeNZB vaccination programme, this paper examines whether there are any lessons to be learned, specifically concerning active vaccine safety monitoring, which may be important if, and when, a COVID-19 vaccine is developed and a national immunisation campaign instituted.

Exploring the knowledge translation of domestic violence research: A literature review

There is growing recognition of the links between knowledge translation, policy and practice, particularly in the domestic violence research area. A literature review applying a systematic approach with a realist lens was the preferred methodology. The review answered the following question: What are the mechanisms of change in research networks which 'work' to support knowledge translation? A search of eight electronic databases for articles published between 1960 and 2018 was completed, with 2,999 records retrieved, 2,869 records excluded and 130 full-text articles screened for final inclusion in the review. The inclusion criteria were purposefully broad, including any study design or data source (including grey literature) with a focus on domestic violence knowledge translation. The analysis of included studies using a realist lens identified the mechanisms of change to support knowledge translation. A disaggregation of the included studies identified five theories focused on the following outcomes: (1) develop key messages, (2) flexible evidence use, (3) strengthen partnerships, (4) capacity building and (5) research utilisation. This review adds to our understanding of knowledge translation of domestic violence research. The mechanisms of change identified may support knowledge translation of research networks. Further research will focus on exploring the potential application of these program theories with a research network.

The interaction between social media, knowledge management and service quality: A decision tree analysis

The existing literature fails to identify to which extent the utilization of social media could be relevant for increasing the effectiveness of knowledge management, in respect to overall business operations. In order to shed some light on this area we define three goals. Firstly, we investigate to what extent the different activities of clients on social media (SM), are important to the processes of knowledge management (KM) in companies. Secondly, we examine to what extent KM functions can be relevant in attaining the quality of IT services. Thirdly, we analyze to what extent KM mediates between SM and the quality of IT services, that is, which client activities on SM should be formalised in the form of KM processes so as to influence the quality of IT services. In order to asses these goals, the decision tree method was used at the sample of B2B companies, more specifically at the sample of those companies offering Knowledge Intensive Business Services (KIBS). The study has shown that: (i) SM client activities have the largest importance for building efficient KM; (ii) KM functions are relevante to the overall quality of IT services, and (iii) those SM options and activities have been identified, whose importance for the assessment of the quality of IT services is indirectly transmitted through KM. This paper offers new empirical evidence which can lead to a better understanding of the role of KM in KIBS. Thanks to the obtained findings, managers will be able to define the goals of their companies in relation to the utilization of SM, more specifically: their presentation on SM, monitoring the outcomes of the SM, usage improving their KM practices and, thus, define strategies to increase the quality of the IT services they offer.

Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook

OBJECTIVE

To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2019.

METHODS

A comprehensive and standardized review of the biomedical informatics literature was performed to select the most interesting papers of KRM published in 2019, based on PubMed and ISI Web Of Knowledge queries.

RESULTS

Four best papers were selected among 1,189 publications retrieved, following the usual International Medical Informatics Association Yearbook reviewing process. In 2019, research areas covered by pre-selected papers were represented by the design of semantic resources (methods, visualization, curation) and the application of semantic representations for the integration/enrichment of biomedical data. Besides new ontologies and sound methodological guidance to rethink knowledge bases design, we observed large scale applications, promising results for phenotypes characterization, semantic-aware machine learning solutions for biomedical data analysis, and semantic provenance information representations for scientific reproducibility evaluation.

CONCLUSION

In the KRM selection for 2019, research on knowledge representation demonstrated significant contributions both in the design and in the application of semantic resources. Semantic representations serve a great variety of applications across many medical domains, with actionable results.

[Exploration on Knowledge Management Construction of Medical Device Evaluation]

Knowledge management is an important method for the organization to manage information and knowledge systematically and make knowledge innovate continuously. Knowledge management includes the stages of knowledge acquisition, sharing and use, and finally achieves the goal of taking knowledge as the production factor and improving work efficiency in an organization. The core work of technical evaluation of medical devices is typical knowledge work, and the knowledge management system is of great significance to the review agency in improving work efficiency, promoting talent training, improving management level and service quality. This study briefly introduces the framework of the knowledge management system of medical device technical evaluation in the Center for Certification and Evaluation, SHFDA, and provides reference for relevant organizations to carry out knowledge management of medical device technical evaluation.

Knowledge Gains and Changing Attitudes from the Anatomy Education Research Institute (AERI 2017): A Mixed Methods Analysis

The inaugural Anatomy Education Research Institute (AERI 2017) was held in Bloomington, Indiana in July of 2017. This workshop style conference paired experienced educational researchers (invited speakers) with individuals interested in learning more about the field (accepted applicants). In 2017, AERI was held over a five-day period and entailed plenary style presentations, break-out sessions, and specific times for small group mentorship. All participants (applicants and invited speakers) completed a pre-conference survey at the beginning of the institute and a post-conference survey at the end of the institute. Both surveys included categorical and Likert scale questions as well as open-ended questions for participant feedback. Quantitative and qualitative analyses indicate that both applicants and speakers increased their knowledge of anatomy education research, but that additional obstacles remain. Funding, time, and a lack of respect for the field remain problematic for faculty that wish to complete educational research. Mentorship and a community of practice also emerged as major themes necessary for educational research to be successful.

Development and validation of a questionnaire for the assessment of the knowledge, management and reporting ADR in paediatrics by healthcare teams (QUESA-P)

OBJECTIVE

We aimed to develop and validate a new instrument called Questionnaire for the assessment of the knowledge, management and reporting ADR in Paediatrics by Healthcare teams (QUESA-P).

DESIGN

This is a cross-sectional study.

SETTINGS AND PARTICIPANTS

Teams of healthcare professionals (HCP) that lead with pharmacological therapy in Paediatrician's sector (Paediatric-HCP) in seven public hospitals in Brazil.

OUTCOME

An assessment of the knowledge and current management of ADR in Paediatric-HCP.

METHODS

We developed and validated QUESA-P, using a standardised procedure which included item development and psychometric prevalidation using Cronbach's Alpha, item-total correlation and test-retest validity for internal consistency and reliability. External criterion was used as criterion validation (the instrument was applied to the focus group expert vs focus group team of Paediatric-HCP in hospitals). The focus group of experts who participated in psychometrics was asked to respond to the QUESA-P twice in order to assess test-retest reliability. The content validity of the initial questionnaire was assessed by the Delphi method and pilot test. Subsequently, we made minor revisions and finalized the QUESA-P RESULTS: Selection of domains and facets were based on literature review made in duplicate by authors. Content validity was done by trial of different examiners (panellists, n=16), conducting analysis through Delphi method (three rounds). The QUESA-P was constructed with three domains. The intraclass correlations (0.80) and the Cronbach's alpha coefficient (0.82), indicated adequate test-retest reliability and internal consistency for each domain. The application of the QUESA to 61 Paediatric-HCP in hospital resulted in lower mean score of 42.1 ± 3.4 in all domains when compared with expert teams (n= 46) 48.2 ± 3.7 (p <0.001) indicating that the instrument is valid to discriminate QUESA experts and Paediatric-HCP.

CONCLUSION

The selected domains can be used to check weaknesses in the identification, management and reporting of suspected ADR by Paediatric-HCP in Brazil.

Open and Linkable Knowledge About Management of Health Information Systems

Given a care delivery organization, its health information system can be defined as the part of the organization that processes and stores data, information, and knowledge. There is an enormous number of frameworks, textbooks and articles that describe the scope of health information system management from the perspective of medical informatics. Transforming this knowledge to Linked Open Data results in a structured data representation that is accessible for both humans and machines, the Semantic Network of Information Management in Hospitals (SNIK). We present interfaces that are useful for researchers, practitioners and students, depending on their objectives and their Semantic Web skills.

Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective

OBJECTIVES

There exists a communication gap between the biomedical informatics community on one side and the computer science/artificial intelligence community on the other side regarding the meaning of the terms "semantic integration" and "knowledge representation". This gap leads to approaches that attempt to provide one-to-one mappings between data elements and biomedical ontologies. Our aim is to clarify the representational differences between traditional data management and semantic-web-based data management by providing use cases of clinical data and clinical research data re-representation. We discuss how and why one-to-one mappings limit the advantages of using Semantic Web Technologies (SWTs).

METHODS

We employ commonly used SWTs, such as Resource Description Framework (RDF) and Ontology Web Language (OWL). We reuse pre-existing ontologies and ensure shared ontological commitment by selecting ontologies from a framework that fosters community-driven collaborative ontology development for biomedicine following the same set of principles.

RESULTS

We demonstrate the results of providing SWT-compliant re-representation of data elements from two independent projects managing clinical data and clinical research data. Our results show how one-to-one mappings would hinder the exploitation of the advantages provided by using SWT.

CONCLUSIONS

We conclude that SWT-compliant re-representation is an indispensable step, if using the full potential of SWT is the goal. Rather than providing one-to-one mappings, developers should provide documentation that links data elements to graph structures to specify the re-representation.

A rapid research needs appraisal methodology to identify evidence gaps to inform clinical research priorities in response to outbreaks-results from the Lassa fever pilot

BACKGROUND

Infectious disease epidemics are a constant threat, and while we can strengthen preparedness in advance, inevitably, we will sometimes be caught unaware by novel outbreaks. To address the challenge of rapidly identifying clinical research priorities in those circumstances, we developed and piloted a protocol for carrying out a systematic, rapid research needs appraisal (RRNA) of existing evidence within 5 days in response to outbreaks globally, with the aim to inform clinical research prioritization.

METHODS

The protocol was derived from rapid review methodologies and optimized through effective use of pre-defined templates and global time zones. It was piloted using a Lassa fever (LF) outbreak scenario. Databases were searched from 1969 to July 2017. Systematic reviewers based in Canada, the UK, and the Philippines screened and extracted data using a systematic review software. The pilot was evaluated through internal analysis and by comparing the research priorities identified from the data, with those identified by an external LF expert panel.

RESULTS

The RRNA pilot was completed within 5 days. To accommodate the high number of articles identified, data extraction was prioritized by study design and year, and the clinical research prioritization done post-day 5. Of 118 potentially eligible articles, 52 met the data extraction criteria, of which 46 were extracted within the 5-day time frame. The RRNA team identified 19 clinical research priorities; the expert panel independently identified 21, of which 11 priorities overlapped. Each method identified a unique set of priorities, showing that combining both methods for clinical research prioritization is more robust than using either method alone.

CONCLUSIONS

This pilot study shows that it is feasible to carry out a systematic RRNA within 5 days in response to a (re-) emerging outbreak to identify gaps in existing evidence, as long as sufficient resources are identified, and reviewers are experienced and trained in advance. Use of an online systematic review software and global time zones effectively optimized resources. Another 3 to 5 days are recommended for review of the extracted data and to formulate clinical research priorities. The RRNA can be used for a "Disease X" scenario and should optimally be combined with an expert panel to ensure breadth and depth of coverage of clinical research priorities.

HEARTEN KMS - A knowledge management system targeting the management of patients with heart failure

The aim of this work is to present the HEARTEN Knowledge Management System, one of the core modules of the HEARTEN platform. The HEARTEN platform is an mHealth collaborative environment enabling the Heart Failure patients to self-manage the disease and remain adherent, while allowing the other ecosystem actors (healthcare professionals, caregivers, nutritionists, physical activity experts, psychologists) to monitor the patient's health progress and offer personalized, predictive and preventive disease management. The HEARTEN Knowledge Management System is a tool which provides multiple functionalities to the ecosystem actors for the assessment of the patient's condition, the estimation of the patient's adherence, the prediction of potential adverse events, the calculation of Heart Failure related scores, the extraction of statistics, the association of patient clinical and non-clinical data and the provision of alerts and suggestions. The innovation of this tool lays in the analysis of multi-parametric personal data coming from different sources, including for the first time breath and saliva biomarkers, and the use of machine learning techniques. The HEARTEN Knowledge Management System consists of nine modules. The accuracy of the KMS modules ranges from 78% to 95% depending on the module/functionality.

Factors associated with possession of accurate knowledge regarding occupational health management among operations leaders of radiation decontamination workers in Fukushima, Japan: a cross-sectional study

OBJECTIVES

An operations leader (OL) takes an important role in occupational health management for radiation decontamination workers in Japan, and candidates for the position must participate in a training session to acquire the necessary knowledge as required by law. However, it has not been clarified whether the candidates for the OL position actually possess accurate knowledge regarding occupational health management for such work after the training session. We, therefore, aimed at examining the current occupational health management knowledge among the candidates and investigating factors related to the knowledge, with hypothesis that possession of accurate knowledge is associated with prior experience of having worked in radiation decontamination.

DESIGN

A cross-sectional study.

SETTING

The training sessions held by Fukushima Prefecture Labor Standard Associations in Fukushima, Japan, in 2017.

PARTICIPANTS

Eighty male candidates participated in the training sessions.

OUTCOME

The number/proportion of correct answers to the questions regarding occupational health management, such as those on working environment management, control of operations and health management.

RESULTS

The proportion of those who possessed accurate knowledge regarding working environment management, control of operations and health management was 68.8%, 55.0% and 51.2%, respectively. Experience of radiation decontamination work was associated with the possession of inaccurate knowledge regarding working environment management (OR 0.140 (95% CI 0.042 to 0.464)), and the uncertainty of future radiation decontamination work schedules in difficult-to-return zones was associated with the possession of accurate knowledge regarding health management (OR 4.344 (95% CI 1.509 to 12.50)).

CONCLUSIONS

Previous experience in radiation decontamination work may hinder the ability to acquire accurate information regarding working environment management among candidates for an OL position. To promote adequate occupational health management for radiation decontamination workers, it is required to establish an effective instructional method for the OL candidate training sessions with consideration of previous relevant experience.

Knowledge management awareness assessment in Nigerian tertiary institutions

Background: Knowledge management (KM) is a recipe for increasing performance and promoting innovation in tertiary institutions. However, some scholars argue that the Nigerian educational sector is yet to fully appreciate the importance of KM as their KM awareness level is still low. Since measurement is the basic foundation to accomplish success, this paper assesses the KM awareness level in tertiary institutions of south-west Nigeria. Methods: The study applied a survey method using a closed ended questionnaire administered to 50 participants from each of the 10 institutions measured by Likert scaling. Employing SPSS for data analysis, frequency count and percentage score were adopted to analyse the demographic data, and the research hypotheses were analysed with chi square test, Pearson chi square and bivariate correlation (Pearson) analysis. Results: A positive relationship between awareness, current status and level of familiarity was noted. KM awareness level in the institutions is high even though there is a significant difference between the public and private universities, as well as between the students and academic staff. Conclusions: Since an increase in the awareness level increases both current status and level of familiarity which often account for KM success, it is recommend that KM awareness level should continuously be improved upon in Nigerian tertiary institutions.

Promoting Ethics and Integrity in Management Academic Research: Retraction Initiative

In the management academic research, academic advancement, job security, and the securing of research funds at one's university are judged mainly by one's output of publications in high impact journals. With bogus resumes filled with published journal articles, universities and other allied institutions are keen to recruit or sustain the appointment of such academics. This often places undue pressure on aspiring academics and on those already recruited to engage in research misconduct which often leads to research integrity. This structured review focuses on the ethics and integrity of management research through an analysis of retracted articles published from 2005 to 2016. The study employs a structured literature review methodology whereby retracted articles published between 2005 and 2016 in the field of management science were found using Crossref and Google Scholar. The searched articles were then streamlined by selecting articles based on their relevance and content in accordance with the inclusion criteria. Based on the analysed retracted articles, the study shows evidence of ethical misconduct among researchers of management science. Such misconduct includes data falsification, the duplication of submitted articles, plagiarism, data irregularity and incomplete citation practices. Interestingly, the analysed results indicate that the field of knowledge management includes the highest number of retracted articles, with plagiarism constituting the most significant ethical issue. Furthermore, the findings of this study show that ethical misconduct is not restricted to a particular geographic location; it occurs in numerous countries. In turn, avenues of further study on research misconduct in management research are proposed.

Modeling the Pathways of Knowledge Management Towards Social and Economic Outcomes of Health Organizations

Despite the increasing emphasis placed on knowledge management (KM) by the business sector and the common belief that creating, acquiring, sharing, and the use of knowledge enable individuals, teams, and communities to achieve superior performance, within the healthcare context, there is still room from improvements from both the theoretical and empirical perspectives. The purpose of this paper is to outline the contribution of KM process to the social- and economic-related outcomes in the context of health organizations. Given the theoretical approach on the considered concepts and their relationships, a conceptual model and seven research hypotheses were proposed. The empirical data were provided by a cross-sectional investigation including 459 medical and nonmedical employees of Romanian heath organizations, selected by a mixed method sampling procedure. A partial least squares structural equation modeling (PLS-SEM) approach was selected to provide information on the relevance and significance of the first- and second-order constructs, test the hypotheses, and conduct an importance performance matrix analysis. The PLS-SEM estimation showed positive and significant relationships between KM process and quality of healthcare, and organizational-level social and economic outcomes. Moreover, the research results provided evidences for the complex complementary mediation of the quality of healthcare and social-related outcomes on the relationships between KM process and social and economic outcomes. The theoretical and managerial implications are discussed and suggestions for future research are provided at the end of the paper.