The Application of Knowledge Management(KM)by Small and Medium-Sized Enterprises(SME)in Manufacturing Industry

To accelerate the digital transformation of small and medium-sized manufacturing enterprises(SMEs),this study delves into the primary challenges encountered in adopting knowledge management(KM)within these organizations and identifies the essential methods for successful implementation.The objective is to provide practical recommendations for the effective adoption of KM.This research suggests that enterprises should promote knowledge management through three key approaches:enhancing employees’cognitive understanding,standardizing knowledge systems,and tailoring business scenarios to meet diverse needs.These findings offer valuable insights into the digital transformation of SMEs in the manufacturing sector,ultimately helping these businesses to remain competitive and innovative in a rapidly changing market.By addressing the specific needs and challenges faced by SMEs,this study aims to contribute to a more comprehensive understanding of how knowledge management can be leveraged to drive digital transformation and improve overall business performance.

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 Method for Performance Management Curriculum Content System Based on Knowledge Graph

Performance Management is the core course of human resource management major,but its knowledge points lack multi-dimensional correlations.There are problems such as scattered content and unclear system,and it is urgent to reconstruct the content system of the course.Knowledge graph technology can integrate massive and scattered information into an organic structure through semantic correlation and reasoning.The application of knowledge graph to education and teaching can promote scientific and personalized teaching evaluation and better realize individualized teaching.This paper systematically combs the knowledge points of Performance Management course and forms a comprehensive knowledge graph.The knowledge point is associated with specific questions to form the problem map of the course,and then the knowledge point is further associated with the ability target to form the ability map of the course.Then,the knowledge point is associated with teaching materials,question bank and expansion resources to form a systematic teaching database,thereby giving the method of building the content system of Performance Management course based on the knowledge map.This research can be further extended to other core management courses to realize the deep integration of knowledge graph and teaching.

Research Progress and Suggestions on China’s Drug Registration Management Based on CiteSpace Knowledge Maps

Objective To analyze the research status and hot spots in the field of drug registration in China,and to provide some suggestions for the follow-up research.Methods CiteSpace was used to conduct literature quantitative analysis on 684 related articles from 2012 to 2022,and the knowledge map was drawn.Based on this,the main characteristics and development trends of the related studies were summarized.Results and Conclusion The number of articles published was closely related to the regulatory policy of drug registration reform.The authors of these articles did not have good continuity.Besides,research hot spots were closely related to the actual work,which was mainly around the improvement of the review and approval policy,encouraging innovative drug research and development,improving the level of new drug development and other directions.The follow-up studies should further strengthen the continuity of research and inter-agency collaboration.In addition,biomedical registration may become a new research focus in the future.

Establishment of the Agricultural Knowledge Management System in the Knowledge-oriented Government

In order to optimizing the process of the government agricultural decision-making, based on the theories and technologies of the knowledge management, the meaning of the knowledge-based government is firstly analyzed. Combining with the detailed requirements of government for agricultural knowledge management, an agricultural knowledge management system including the agricultural knowledge sharing system, the agricultural Web data-mining system and the agricultural expert decision system is established in the paper.

Knowledge Management and Customer Relationship Management for Accounting Services Companies

By combining the abilities to respond directly to customer requests and to provide the customer with a highly interactive, customized experience, companies have a greater ability today to establish nurture and sustain long-term customer relationships than ever before. The ultimate goal is to transform these relationships into greater profitability by increasing repeat purchase rates and reducing customer acquisition costs. Customer relationship management （CRM） has a significant potential to leverage an organization＇s performance, but it does not come without a clear sense of destination and typically without pain. For the research methodology we use the database of customers of a Romanian accounting services company Vulpoi ＆ Toader Management SRL, which is an important player in this market. The goal of our paper is to find out the link between knowledge management （KM） and CRM for this company and how these ＂innovations＂ contribute to increasing the value of the business.

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）.

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.

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.

Traditional Ecological Knowledge and Community-based Natural Resource Management in Northeast India

Community-based natural resource management in northeast India has a long history. Indigenous knowledge and adaptation are the collective information, with improvement from generation to generation. The expectation is that under community control, local expertise on biodiversity will play a significant role in natural resource management through traditional practices. This paper discusses the characteristics and application of the traditional ecological knowledge of aboriginal peoples in northeast India and its role in natural resource management. Examples are provided in two different eco-cultural landscapes, i.e., Demazong (the Buddhist eco-cultural landscape in Sikkim Himalaya) and the Apatani eco-cultural landscape in Arunachal Pradesh, which illustrate the utility value of traditional ecological knowledge in sustainable natural resource management. Both eco-cultural landscapes are indeed very complex and highly evolved systems with high levels of economic and ecological efficiencies. The paper concludes that traditional ecological knowledge systems and institutions could serve as entry points into the sustainable utilization and management of natural resources. This could be achieved through the exploration of the cultural practices of the local people and integrating useful aspects into the modern natural resource management expertise. With rapidly depleting biodiversity in the developing tropic regions, there is a greater utilization today than ever before of the value of respecting the "Sacred" as a tool towards better conservation of natural resources.

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.

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.

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.

Knowledge and Skills for Management of Sexually Transmitted Infections by Rural Medical Practitioners in Bangladesh

Sexually transmitted infection (STI) management is considered rudimentary among rural medical practitioners (RMPs) in Bangladesh. We sought to understand the level of knowledge and skills in STI management and to assess the impact of a two-day training orientation among RMPs in Tangail district. Data were collected through a baseline survey of 225 practicing RMPs in the study area and a three-month follow-up survey of 99 RMPs who participated in a two-day STI/HIV orientation training. The level of formal training among RMPs ranged from none (22.7%), to paramedical training (14.7%) and local medical assistant training (62.6%). The baseline survey revealed a low level of STI/HIV knowledge and misconceptions about the transmission of STI/HIV among RMPs. RMPs mostly prescribed first line antibiotics for treatment of common reproductive tract infections (RTIs) including STIs, but they rarely prescribed the correct dosages according to the national RTI/STI management guidelines. Only 3% of RMPs were able to correctly answer all four HIV transmission (unprotected sexual intercourse, blood transfusion, needle sharing and mother to child transmission) questions at baseline, while 94.9% of RMPs answered all four correctly at three months following the training (p = 0.001). Only 10% of RMPs reported suggesting the recommended drug (azithromycin) and only 2% mentioned about the recommended dosage (2 gm single dose) for the treatment of urethritis/cervicitis;compared to 49.5% suggested azithromycin at follow-up with 39.4% mentioned the recommended 2 gm single dose (p = 0.001). Our study found low level of knowledge and poor practices related RTI/STI management among RMPs. Short orientation training and education intervention shown promise to increase knowledge and management skills for RTIs/STIs.

Study on the knowledge management of strategic alliances in high technology enterprises

With the development of knowledge economy, the competition between high teehnology enterprises has gradually evolved into the competition of core competence based on knowledge, because high technology enterprises are typical knowledge-based enterprises. Few enterprises, especially for high technology firms, have all of the knowledge they need to compete effectively in the marketplace both at home and abroad, so more and more high technology companies are taking the advantage of strategic alliances to get their complementary knowledge. Since knowledge is the source of an enterprise＇ s competitiveness, knowledge management has become the most important means for enterprises to gain competitive advantage. There has been an increased growth in the literature on strategic alliances in recent decades. But what is less discussed in the existing literature on strategic alliances is the issue of knowledge management of strategic alliances in high technology enterprises. Based on the characteristics of strategic alliances in high technology enterprises, and in line with the implication and the goal of knowledge management, this study tries to delve into this issue. The paper analyzes the key factors relevant to the knowledge management of strategic alliances in high technology enterprises and proposes guidelines on the process and measures that should be taken in the knowledge management of strategic alliances in high technology enterprises.

Multi-strategies in Case Based Design Knowledge Management on Web

Design knowledge management is very important toimprove the design process performance. The casebased design (CBD) is a methodology to followmankind's problem solving strategy, one of its aims isto realize the design knowledge reuse. This methodhas been used in many fields, but there are still somedifficulties that hindered its application. The first isabout the difficulty in the formalization of a designcase, especially representation of some experiencesthat was the weakness in former researches. The second is about the bottleneck of knowledge-acqulsition that results in lacking enough knowledge in the modification process.which may lead to unreliable results when automatic inference is applied.We proposed that modification should be done not by machines but by designers while the inference results can be used as a suggestion to designers.In this manner we integrated both case.based and rule-based methodologies together.The third difficulty relates to case evolution and customization.former CBD systems suffered from this problem.We proposed an agile case-template technique that overcomes the problem perfectly.To make users be able to define their own similarity rules we allow users to choose different parameter weights and fuzzy subjection functions of numeric parameters.The approach of this paper has been applied to an enterprise and the system is built on the Web.