Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management

Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse sources.This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios.Firstly,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge graphs.In the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge graphs.Objectively comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction process.Subsequently,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and methods.Finally,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were proposed.Practitioners and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.

Parental Knowledge of Pre-Hospital Management of Avulsed Permanent Tooth in Children at Kath

BACKGROUND: Permanent tooth avulsion is one of the severe forms of dental traumatic injuries. The immediate action taken at the site of the accident is crucial to the prognosis of the tooth. Replantation is considered as the treatment of choice. OBJECTIVE: The study was undertaken to assess the knowledge of parents who accompany their children to the pediatric dental clinic, KATH on the pre-hospital management of avulsed permanent tooth in children. METHODS: A researcher administered structured questionnaire was used to collect data on the knowledge of pre-hospital management of avulsed permanent tooth from 83 parents who accompanied their wards to the pediatric dental clinic at KATH. RESULTS: A total of 83 parents were involved in the study. 30 (36%) were males while 53 (64%) were females. The majority of the parents (57%) were either university trained or had attended college of education. Only 32 parents (39%) were aware of the possibility of replantation. Majority of the parents chose non-physiologic media as the transport media of choice and only 10% would attempt self-replantation before seeking professional help. 76 parents (92%) had no previous education on pre-hospital management of avulsed tooth. CONCLUSION: The results obtained from this study indicate that parental knowledge on pre-hospital management of avulsed permanent tooth is low hence the need for massive public educational campaigns.

Construction and Application of Cloud Computing Model for Reciprocal and Collaborative Knowledge Management

Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management.Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms.With the rapid development and application of cloud computing and big data technology,knowledge management is faced with many problems,such as how to combine with the new generation of information technology,how to achieve integration with organizational business processes,and so on.To solve such problems,this paper proposes a reciprocal collaborative knowledge management model(RCKMmodel)based on cloud computing technology,reciprocity theory,and collaboration technology.RCKM model includes project group management and cloud computing technology,which can realize management,finance,communication,and quality assurance of multiple projects and solve the problem of business integration with knowledge management.This paper designs evaluation methods of tacit knowledge and reciprocity preference based on the Bayesian formula and analyzes their effect with simulation data.The methods can provide quantitative support for the integration of knowledge management and business management to realize reciprocity and collaboration in the RCKM model.The research found that RCKM model can fully use cloud computing technology to promote the integration of knowledge management and organizational business,and the evaluation method based on the Bayesian formula can provide relatively accurate data support for the evaluation and selection of project team members.

Integrating Project Management, Software Development, and Knowledge Management Models: A Case Study in a Public ICT Services Organization

In project-based organizations knowledge is a critical resource used to develop and deliver products and services with a high level of quality. Therefore, a systematic and sustainable process is necessary to coordinate knowledge management, project management and product lifecycle. This scenario predominates in companies focused on the creation and maintenance of information systems. This article presents an exploratory study based on a framework that integrates cognitive, managerial, and operational processes in a public Brazilian organization that provides services in the area of information and communications technology, focusing on the construction and maintenance of information systems. Those processes are operationalized by three management models considering knowledge, project, and software development processes. Our proposal aims to understand the relationships between those three management models and their influence on the software development process in the organization under study. Our premise is based on the principle that cognitive management, project management, and software development management must be integrated to fulfill the demands of product development and service provision. The research data was composed of registers of working hours spent on software development and maintenance projects involving 244 people allocated to 5064 projects in the period from 2007 to 2013. The study resulted in the identification of the relationships among the three management models adopted by the organization, with emphasis on knowledge management activities, which were not directly identified, making it difficult to account for and measure them. We established a set of activities connected to each one of the knowledge management model phases. Since those activities were not visible before, our approach contributed to build a systematic process to register and relate activities linked to the dimensions of cognitive processes, project management, and software construction.

Rationale of a Cross Sectional Descriptive Study on Knowledge and Practices of Healthcare Providers on Postpartum Hemorrhage Management in Kinshasa, the Democratic Republic of the Congo

Background: Healthcare Providers’ knowledge and practice of postpartum hemorrhage (PPH) management are essential to reduce maternal morbidity and mortality. PPH is a public health problem due to the high maternal mortality (MM) associated with it worldwide (25%). Improving the quality of PPH management is a major challenge in low-income countries where, despite the progress made in its management, PPH remains a major contributor to maternal morbidity and mortality. Objective: We will evaluate the level of knowledge and practices of providers in the PPH management in Kinshasa in the Democratic Republic of the Congo (DRC). Methods: This study will be descriptive and cross-sectional. The minimum sample size will be 86. Our study population will consist of delivery room care providers. Results will be reported as percentage proportion and mean plus or minus standard deviation. Comparisons of means between groups will be made using Student’s t-test and Pearson’s chi-square test. The test will be statistically significant for a p value 0.05. Data will be collected and processed anonymously and confidentially. Conclusion: Improving quality of care must be a priority in obstetrics. This evaluation requires us to determine the level of knowledge and practices of providers in the PPH management in Kinshasa.

Intellectual Capital in Knowledge Management Organizations

This paper templet is copyright by Global Conference on Business and Social Science organized by Global Academy of Training&Research(GATR)Enterprise.Intellectual capital and knowledge are the most important assets of most organizations to ensure that determined or intended strategies can be implemented.The resource-based view of the firm considers the firm as a bundle of tangible resources,intangible resources,and organisational capabilities.An effective IC refers to the critical issues of organisational adaptation,survival and competence in the face of discontinuous environmental change.KM is essential for retaining employees’knowledge within a firm by using appropriate technology and tools to capture and store the knowledge residing in the minds of its employees,so it can be easily shared and reused.There is a growing realisation of the importance of the development and understanding of theory for both Intellectual Capital and Knowledge Management in relation to guide the successful development of Knowledge Management Organisations.This study is fundamental because it will provide the whole picture about the different levels of knowledge;individual,group and organizational,which express internal knowledge(formal and informal knowledge)and external knowledge such as customers and suppliers.The aim of this study is addressed some of the gaps in Intellectual Capital literature.It is necessary to investigate the interactions between IC components in Knowledge management organizations,which include human capital(HC),Organizational capital(OC),and Relational capital(RC).This is important in order to discover the extent to which these factors work together to achieve a network’s knowledge management in organization.

Current state and influencing factors in airbag management among emergency department nurses:A multicenter study

BACKGROUND The emergency department(ED)plays a critical role in establishing artificial airways and implementing mechanical ventilation.Managing airbags in the ED presents a prime opportunity to mitigate the risk of ventilator-associated pneumonia.Nonetheless,existing research has largely overlooked the understanding,beliefs,and practical dimensions of airway airbag management among ED nurses,with a predominant focus on intensive care unit nurses.AIM To investigate the current status of ED nurses'knowledge,beliefs,and practical behaviors in airway airbag management and their influencing factors.METHODS A survey was conducted from July 10th to August 10th,2023,using convenience sampling on 520 ED nurses from 15 tertiary hospitals and 5 sary hospitals in Shanghai.Pathway analysis was utilized to analyze the influencing factors.RESULTS The scores for ED nurses'airway airbag management knowledge were 60.26±23.00,belief was 88.65±13.36,and behavior was 75.10±19.84.The main influencing factors of airbag management knowledge included participation in specialized nurse or mechanical ventilation training,department,and work experience in the department.Influencing factors of airbag management belief comprised knowledge,department,and participation in specialized nurse or mechanical ventilation training.Primary influencing factors of airbag management behavior included knowledge,belief,department,participation in specialized nurse or mechanical ventilation training,and professional title.The belief in airbag management among ED nurses acted as a partial mediator between knowledge and behavior,with a total effect value of 0.513,and an indirect effect of 0.085,constituting 16.6%of the total effect.CONCLUSION ED nurses exhibit a positive attitude toward airbag management with relatively standardized practices,yet there remains room for improvement in their knowledge levels.Nursing managers should implement interventions tailored to the characteristics of ED nurses'airbag management knowledge,beliefs,and practices to enhance their airbag management proficiency.

How to implement a knowledge graph completeness assessment with the guidance of user requirements

In the context of big data, many large-scale knowledge graphs have emerged to effectively organize the explosive growth of web data on the Internet. To select suitable knowledge graphs for use from many knowledge graphs, quality assessment is particularly important. As an important thing of quality assessment, completeness assessment generally refers to the ratio of the current data volume to the total data volume.When evaluating the completeness of a knowledge graph, it is often necessary to refine the completeness dimension by setting different completeness metrics to produce more complete and understandable evaluation results for the knowledge graph.However, lack of awareness of requirements is the most problematic quality issue. In the actual evaluation process, the existing completeness metrics need to consider the actual application. Therefore, to accurately recommend suitable knowledge graphs to many users, it is particularly important to develop relevant measurement metrics and formulate measurement schemes for completeness. In this paper, we will first clarify the concept of completeness, establish each metric of completeness, and finally design a measurement proposal for the completeness of knowledge graphs.

Impact of specialized nursing outpatient case management on postcoronary artery bypass grafting patients

BACKGROUND Some patients with coronary atherosclerotic heart disease experience major adverse cardiac events(MACE)and require readmission after Coronary Artery Bypass Grafting(CABG)surgery.This is often attributed to patients'unhealthy lifestyles and dietary habits,inadequate understanding of the disease,and poor disease management compliance.Thus,searching for more targeted nursing intervention models that can enhance patients'self-management abilities and reduce the risk of readmission after CABG surgery is significant.AIM To observe the impact of specialized nursing outpatient case management on patients after CABG surgery.METHODS A total of 103 patients who underwent CABG surgery in our hospital between April 2021 and April 2022 comprised the study sample.The patients were divided into two groups using an odd-even number grouping method.The control group received routine nursing care,while the case management group received specialized nursing outpatient case management.The differences in psychological status,adherence to medical treatment,self-care ability,knowledge mastery,quality of life scores,and the occurrence rate of MACE were compared between the two groups.RESULTS After the intervention,the case management group had lower scores on the selfrating depression scale and self-rating anxiety scale and lower MACE rate,as well as higher scores for adherence to a healthy diet,medication adherence,good lifestyle habits,regular exercise,and timely follow-up,higher scores on the Coronary Heart Disease Self-Management Scale,higher scores for managing adverse habits,symptoms,emotional cognition,emergency response,disease knowledge,general lifestyle,and treatment adherence,higher scores for understanding coronary heart disease,recognizing the importance of medication adherence,understanding selfcare points after CABG surgery,and being aware of post-CABG precautions,higher scores for physical well-being,disease condition,general health,social-psychological well-being,and work-related aspects(P<0.05).CONCLUSION Specialized nursing outpatient case management can enhance patient adherence to medical treatment,knowledge mastery,psychological well-being,and overall quality of life in patients after CABG surgery.

Clinical value of precise rehabilitation nursing in management of cerebral infarction

BACKGROUND Cerebral infarction,previously referred to as cerebral infarction or ischemic stroke,refers to the localized brain tissue experiencing ischemic necrosis or softening due to disorders in brain blood supply,ischemia,and hypoxia.The precision rehabilitation nursing model for chronic disease management is a continuous,fixed,orderly,and efficient nursing model aimed at standardizing the clinical nursing process,reducing the wastage of medical resources,and improving the quality of medical services.AIM To analyze the value of a precise rehabilitation nursing model for chronic disease management in patients with cerebral infarction.METHODS Patients(n=124)admitted to our hospital with cerebral infarction between November 2019 and November 2021 were enrolled as the study subjects.The random number table method was used to divide them into a conventional nursing intervention group(n=61)and a model nursing intervention group(n=63).Changes in the nursing index for the two groups were compared after conventional nursing intervention and precise rehabilitation intervention nursing for chronic disease management.RESULTS Compared with the conventional intervention group,the model intervention group had a shorter time to clinical symptom relief(P<0.05),lower Hamilton Anxiety Scale and Hamilton Depression Scale scores,a lower incidence of total complications(P<0.05),a higher disease knowledge mastery rate,higher safety and quality,and a higher overall nursing satisfaction rate(P<0.05).CONCLUSION The precision rehabilitation nursing model for chronic disease management improves the clinical symptoms of patients with cerebral infarction,reducing the incidence of total complications and improving the clinical outcome of patients,and is worthy of application in clinical practice.

基于IG-NRS与ICK双向压缩的KMS自学习案例知识匹配

案例知识匹配可有效缓解知识过载问题,确保知识应用水平。针对知识管理系统自学习案例知识匹配的冗余性问题,提出了一种基于IG-NRS与ICK的双向压缩方法。该方法首先设计NRS的改进模型IG-NRS,据此约简案例知识属性集,实现邻域决策系统的纵向压缩;在此基础上,通过引入谱聚类判别并剔除不一致案例知识实现其横向压缩;再藉由知识视图相似度锁定目标案例知识簇与最相似案例知识,从而确定知识匹配结果。在多个UCI数据集上的实验结果表明,该方法能有效减少知识管理系统自学习案例知识的冗余,取得更高的知识匹配效率和有效性。

Exploration on the Cognitive Schema and Its Transformation of Knowledge Management

Knowledge management(KM) has been receiving considerable attention in the human-system research community.And it is one of the key issues on what the cognitive structure(schema) is and how it transfers.From different perspectives,such as the cognitive science,the concepts,elements and characteristics of cognitive schema,the knowledge structure,knowledge acquisition and influence of schema on it,this paper explores the cognitive schema of knowledge management.

Construction of the Ontology-Based Agricultural Knowledge Management System

Ontology is the formal representation of concepts and their mutual relations. It has wide application potential in the classification of agricultural information, the construction of information and knowledge database, the research and development of intelligent search engine, as well as the realization of cooperative information service, etc. In this research, an ontology-based agricultural knowledge management system framework is proposed, which includes modules of ontology-based knowledge acquisition, knowledge representation, knowledge organization, and knowledge mining, etc. The key technologies, building tools and applications of the framework are explored. Future researches on the theoretical refinement and intelligent simulation knowledge service are also envisioned.

A Dynamic Knowledge Model for Nitrogen Fertilizationin Wheat Management

By analyzing and extracting the research progress on nitrogen fertilization in wheat, a dynamic knowledge model for management decision-making on total nitrogen rate, ratios of organic to inorganic and of basal to dressing nitrogen under different environments and cultivars in wheat was developed with principle of nutrient balance and by integrating the quantitative effects of grain yield and quality targets, soil characters, variety traits and water management levels. Case studies on the nitrogen fertilization model with the data sets of different eco-sites, cultivars, soil fertility levels, grain yield and quality targets and water management levels indicate a good performance of the model system in decision-making and wide applicability.

An Ontology Reasoning Architecture for Data Mining Knowledge Management

In order to realize the intelligent management of data mining （DM） domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include：①Describing DM ontology and meta-data using ontology based on Web ontology language （OWL）.② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL（s）.

Systematic research on enterprise knowledge management

Entering 21st century, knowledge has already become the most important strategic resource for enterprises. The key factors of keeping continuous competitive advantages for an enterprise are the abilities of knowledge management and knowledge innovations. Enterprise knowledge management is a new subject with great theoretical meaning and actual meaning. From a new angle, guided by systematic viewpoint, this paper analyses deeply and explores synthetically enterprise knowledge management as a complicated system problem by doing the following:Defining the implication of enterprise knowledge management;Analyzing three kinds of the key elements in enterprise knowledge management and the interaction relations among the elements;Proposing and probing into the structure of enterprise knowledge management. Considers the structure as the open dynamic network structure with multidimensional space. Through drawing the state chart of key elements, analyzes the functions of enterprise knowledge management; Proposing and studying the interaction mechanisms between three kinds of the key elements and enterprise knowledge management. On the basis of all above analyses, aiming at the conditions and problems of enterprise knowledge management in our country, this paper probes into the main countermeasures of knowledge management that should be adopted by the enterprises of our country.

A Knowledge Model-and Growth Model-Based Decision Support System for Wheat Management

By applying the system analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management(WheatKnow)was developed. By adopting the soft component characteristics as non language relevance , re-utilization and portable system maintenance. and by further integrating the wheat growth simulation model(WheatGrow)and intelligent system for wheat management, a comprehensive and digital knowledge model, growth model and component-based decision support system for wheat management(MBDSSWM)was established on the platforms of Visual C++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions for digital crop management.

Innovation Management and Knowledge Economics

This paper includes three parts: (1) The main characteristics of knowledge economics in new era; (2) Innovation management is an inevitable trend; (3) Corporate culture lead literary excellence. With the advance of science technique and development of productive force , huma nity entered on knowledge economics era.It is a new social economic pattern that occupy and coordinate intellectual resources and causes some essential changes of produce method. Investment pattern, industrial construction, through idea and social organization. Since these changes, the traditional management method don’t meet the need of new times and make some trouble to the enterprise, and then innovation managemen t yield and give good function for knowledge economic era. Adhere to some scienc e create regulation; Accord with the times requirement; Raise output rate and pr omote society productivity; Need a process of time and guard against impetuosity . The application of innovation management to enterprise produce marked success in which corporate culture leads literary excellence.

Knowledge Management and Innovation

The 21 st century is an era of knowledge, know le dge is said to be particularly important. Knowledge and information have become the economy’s primary raw material and its most important outcome. Under increas ingly competitive pressure, many enterprises are examining how they can better m anage their knowledge. During the last years, another concept has gained increas ing interest: knowledge management. The emerging field of knowledge management a ddresses the broad processes of locating, organizing, transferring and more effi ciently using knowledge and expertise within an enterprise. An enterprise’s and its employees’ knowledge is regarded as the most important corporate capital in the arising global information society. Knowledge management therefore aims towa rds improving an enterprise’s ability to acquire, develop, preserve, distribute and use knowledge. This paper describes a conceptual model of knowledge manageme nt and innovation, focusing on analyzing the knowledge management and innovation process, trying to make knowledge more productive and create knowledge more eff iciently. In this paper, an integral and conceptual model of knowledge management and inno vation is presented first; then, the knowledge work process is analyzed, which i s conceptualized as a knowledge spiral; subsequently, knowledge management proce ss is conceptualized into knowledge development, knowledge acquisition, knowledg e transfer, knowledge sharing, knowledge utilization and knowledge evaluatio n, all of which can be conceptualized as a knowledge cycle; furthermore, the fac ilitating conditions for implementing knowledge management are analyzed; in the end, the input-output model of knowledge innovation is given as well as the mai n tools for assisting knowledge management are summarized.

Dynamic models of technology management capability development based on knowledge diffusion

Technology management is recognized as a key for organizations to achieve competitiveness. How to promote an organization’s technology management capability is of great significance in creating efficiencies and achieving a competitive edge. The knowledge essence of technology management capability is introduced and then the correlation between knowledge diffusion and the development of technology management capability is discussed. Further, the basic and extended dynamic models of the development of technology management capability are constructed, and is applied into an enterprise. The results show that the dynamic models can well explain how the knowledge improves the development of technology management capability, and they can be used as an useful tool by an enterprise to promote technology management capability. Finally, the managerial implications of the models are discussed.