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.

Local Knowledge of Farmer Communities in the Use of Organic Fertilizers to Increase Cashew Production in Buton Utara Regency, Southeast Sulawesi Province, Indonesia

Local knowledge has an important role in agricultural practices.This study aims to describe the local knowledge of farming communities about the use of organic fertilizers as a strategy to increase cashew production in Buton Utara Regency,Southeast Celebes,Indonesia.The research method used is a qualitative approach with data collection techniques using in-depth interviews and observation.The research results showed that the farming community in this area has in-depth local knowledge of how to make and apply effective organic fertilizers sourced from the surrounding natural environment.However,there are challenges in access to the organic materials needed and constraints in the widespread implementation of organic fertilizers.This study recommends strengthening education and training programs to increase farmers’awareness and skills in using organic fertilizers.

国内外知识组织研究内容与发展——基于《图书情报工作》与Knowledge Organization期刊论文的比较分析

知识组织一直是图书情报学领域的重要课题,相关研究也在不断突破与发展以实现知识的有效查询与获取。本文以《图书情报工作》和Knowledge Organization(《知识组织》)2009—2016年期刊论文为研究对象,运用文献计量分析和比较分析的方法,从生产主体、知识基础、研究主题三个角度对比分析了国内外知识组织领域研究现状与进展。研究表明,计算机科学和知识管理是国内知识组织研究重要的学科基础,对应着技术导向和管理导向两种研究路径;国外则十分关注传统知识组织的内容及其在不同语种、领域和资源类型等新环境中的应用,且非常重视从社会文化与哲学等抽象层面思考知识组织的本质与基础。本文通过管窥国内外知识组织发展现状及差异,以期能够帮助国内研究者更加清晰地认识与界定知识组织的内涵与范围,更好地把握未来的研究方向。

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.

Knowledge Organization and Representation under the AI Lens

Purpose:This paper compares the paradigmatic differences between knowledge organization(KO)in library and information science and knowledge representation(KR)in AI to show the convergence in KO and KR methods and applications.Methodology:The literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.Findings:A key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations,while KR is problem-solving oriented.Differences between KO and KR are discussed based on the goal,methods,and functions.Research limitations:This is only a preliminary research with a case study as proof of concept.Practical implications:The paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.

Attitudes,awareness,and knowledge levels of the Turkish adult population toward organ donation:Study of a nationwide survey

BACKGROUND The most important factors affecting attitudes on organ donation are socioeconomic, educational, cultural, and religious factors in many countries.AIM To evaluate the attitudes, awareness, and knowledge levels of the Turkish adult population toward organ donation.METHODS This nationwide study surveyed 3000 adults(≥ 18 years) in Turkey. To ensure a representative sample, the Nomenclature of Territorial Units for Statistics-Ⅱ(modified for Turkey) was used. Turkey was divided into 26 regions based on social, economic, and geographic criteria as identified by the Turkish Statistical Institute. A stratified sampling method was used with an even distribution of adults across cities and towns based on population data. Data were collected by the PRP Research and Consultancy Company using computer-assisted personal interviews.RESULTS Out of 3000 individuals represented in the study population, 1465(48.8%) were male and 1535(51.2%) female. The results showed that most participants were under 45 years(59.0%) and married(72.1%), some had a bachelor’s degree or higher(21.9%), and very few(1.5%) had any direct experience with organ transplantation-whether in the family, or a family member on a transplantation waiting list. Most of the study population(88.3%) had not considered donating an organ, however, most(87.9%) said that they would accept an organ from a donor if they needed one. Among the individuals surveyed, 67% were willing to donate an organ to a close relative, while 26.8% would donate an organ to an unrelated person. Only 47.2% said they had adequate information about brain death, and 85.2% refused to consent to donating organs of family members declared brain dead. Only 33.9% thought they had adequate information about organ donation. The main source of information was the television. The two main reasons for refusing organ donation were that it was too soon to think about organ donation and the importance of retaining the integrity of the dead person’s body.CONCLUSION This study showed that Turkey’s adult population has inadequate knowledge about organ donation. The study advocates for public education programs to increase awareness among the general population about legislation related to organ donation.

Exploiting Distributed Cognition to Make Tacit Knowledge Explicating

Distributed cognition is a new development trend of cognitivism, and is also a new research field of knowledge manage- ment. The study discusses that tacit knowledge explicating activity is a distributed cognitive activity, whose success depends on interaction of each of these factors in distributed cognitive system and none of the factor could be neglected. Further, the study exploits distributed cognition to explore how to design these factors in the system so that tacit knowledge explicating can be accomplished successfully.

Tacit Knowledge Mining:The Key Traditional Chinese Medical Inheritance

Traditional Chinese medicine(TCM)is a treasure of traditional Chinese culture and a gift to the world.TCM tacit knowledge refers to the knowledge and experiences formed in the process of learning and practice of TCM.The objective of this study is to discuss the importance of TCM tacit knowledge in the inheritance and education of TCM.As the essence of the TCM,TCM tacit knowledge has the characteristics of massive,complicated,relativistic,highly individualized,constantly innovative,the dependence of cultural background and the regional environment,as well as difficult to explicate.It exists in every aspect of the TCM theory and the process of dialectical treatment.Besides the traditional master‑apprentice,family‑based,school‑based,and inheritance and education methods,together with the inheritance based on the books,images,and network platforms,in the process of TCM modernization,a variety of modern theoretical models and computing techniques have also been used in the mining of the TCM tacit knowledge.In this study,we introduced the usage of SECI model,complexity adaptive system,latent variable model,and some of the data mining technologies in the TCM tacit knowledge mining.An accurate and efficient inheritance of TCM tacit knowledge is the key to maintain the vitality and innovative development of TCM.Under the reasonable application and combination of the traditional education methods,modern mining methods,and further the artificial intelligence,the explicit and inheritance of TCM tacit knowledge will get tremendous development,and it could extremely improve the efficiency and accuracy of the TCM inheritance and the TCM modernization.

Could One Transformational Leader Convert the Organization From Knowledge Based Into Learning Organization, Then Into Innovation？

This paper examines the role of transformational leadership in transforming an organization into a knowledge based, then into learning organization so that it becomes an innovative company. Important features of the leader such and ability to assist in developing and accommodating the implementation of knowledge management programs, learning organization concepts and innovation protocols are discussed in this paper. This paper demonstrates that shifting the organization to become a knowledge based and then to be learning organization and finally to become innovative company could involve some unique attributes of a transformation leadership. In that regards, the paper also demonstrates that organizations need first to create, capture, transfer, and mobilize knowledge before it can be used for learning and then for innovation. The paper will present a method of a studying how successful innovation leaders of companies could found themselves acting in three roles namely： knowledge leader, learning leader and then innovation leader.

Personal Tacit Knowledge and Global Learning Professional Competencies—Multi-Dimensional Relationships

Global learning professional competencies (GLPCs) are essential for college students to be able to address the impact of globalization in the 21st century. Organizations and society-at-large look to higher education to prepare college students with GLPCs. In addition, there is a body of literature that suggest personal tacit knowledge enhance GLPCs. However, researchers have done little from an empirical perspective to determine the relationship between the use of P-T K and enhancement of GLPCs, hence the purpose of this study. The statistical results revealed significant correlations, p st century knowledge society through use of P-T K.

Method and application of knowledge organization system for S&T literature

In the big data environment, the construction of massive S&T literature data resources needs intelligent technical assistance. With a focus on comparing the domestic and foreign knowledge organization systems and their applications, this article analyzes and summarizes the gaps in related researches and applications at home and abroad. A knowledge organization system framework for S&T literature data resources is presented in the article. Starting from the basic element of knowledge organization system, it also proposes and designs terminology-based analysis methods and technologies for S&T literature. Based on this framework, it proposes ideas and develops corresponding software tool to carry out relevant experiments. It gives an overview of theories and technologies method for future research.

Protocol Based Approach for Tacit to Explicit Knowledge Conversion

In the knowledge management domain, the conversion of tacit knowledge to explicit knowledge is critical because it is a prerequisite to the knowledge amplification process wherein knowledge becomes part of an organization＇s knowledge network. Although codified knowledge and its capture is commonplace, tacit knowledge has up until recent years proved elusive in its inclusion within the organization＇s knowledge base. In this paper, the conversion process has been dealt with the help of protocols. It is learned that while structure may significantly improve the tacit to explicit conversion process, it also may matter how the structure is employed. It is anticipated that eventual successful modeling of such knowledge will ultimately be undertaken in several organizations with a view to improving information capture and transference.

Research on Explicit and Tacit Knowledge Interaction in Software Process Improvement Project

This research develops a knowledge model for Software Process Improvement (SPI) project based on knowledge creation theory and its twenty-four measurement items, and proposes two hypothesizes about the interaction of explicit knowledge and tacit knowledge in SPI. Eleven factors are extracted through statistical analysis. Three knowledge-creation practices for capturing tacit knowledge contribute greatly to SPI, which are communication among members, crossover collaboration in practical work and pair programming. Two knowledge-creation practices for capturing explicit knowledge have significant positive impact on SPI, which are integrating project document and on-the-job training. Ultimately, suggestions for improvement are put forward, that is, encouraging communication among staff and integrating documents in real time, and future research is also illustrated.

Model Analysis of the Relationship Between Strategic Organization Knowledge and the Use of Information Systems in Firm Performance in Brazil

Information Technology （IT） consolidates as an essential element to support the business strategies to survive and rapidly adapts to changes in the competitive environment. This paper examines the impact of the use of information systems （IS） and strategic organization knowledge （SOK） on firm performance in 150 Brazilian companies. The study uses partial least squares structural equation modeling （PLS-SEM） and establishes models to express the relationship among the constructs examined. The study identifies that the direct influence of 1S use on performance is moderately significant. However, when mediated by orientation strategy, the total effect of IS use on firm performance is demonstrated to be highly significant. The model explains 54% of the variability of firm performance and confirms IS use as a fundamental resource to support strategic business processes.

Dosimetric Effects Due to Inter-Observer Variability of Organ Contouring When Utilizing a Knowledge-Based Planning System for Prostate Cancer

Purpose: Radiotherapy is a widely accepted standard of care for early-stage prostate cancer, and it is believed that the plan quality and treatment outcome are associated with contour accuracy of both the target and organs-at-risk (OAR). The purposes of this study are to 1) assess geometric and dosimetric uncertainties due to inter-observer contour variabilities and 2) evaluate the effectiveness of geometric indicators to predict target dosimetry in prostate radiotherapy. Methods: Twenty prostate patients were selected for this retrospective study. Five experienced clinicians created unique structure sets containing prostate, seminal vesicles, bladder, and rectum for each patient. A fully automated script and knowledge-based planning routine were utilized to create standardized and unbiased plans that could be used to evaluate changes in isodose distributions due to inter-observer variability in structure segmentation. Plans were created on a “gold-standard” structure set, as well as on each of the user-defined structure sets. Results: Inter-observer variability of contours during structure segmentation was very low for clearly defined organs such as the bladder but increased for organs without well-defined borders (prostate, seminal vesicles, and rectum). For plans generated with the user-defined structure sets, strong/moderate correlations were observed between the geometric indicators for target structure agreement and target coverage for both low-risk and intermediate-risk patient groups, while OAR indicators showed no correlation to final dosimetry. Conclusions: Target delineation is crucial in order to maintain adequate dosimetric coverage regardless of the associated inter-observer uncertainties in OAR contours that had a limited impact upon final dosimetry.

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.

Ontology modeling of semantics in social media:Public issue knowledge base (PIKB)of the Weibo

Purpose:This study aims to construct an ontology to model the semantics of social media streams,in particular,trending topics and public issues.Design/methodology/approach:Our knowledge base included 10 public events and topics from Weibo respectively,which were collected through keyword search and a crawler program.We used a semi-automatic approach to model and annotate the semantics in social media,and adapted the multi-layered ontology to refine the design based on previous researches,then we used named entity recognition(NER) to extract entities to instantiate the ontology.Relationships were extracted based on co-occurrence measures.Finally,we manually conducted post-filtering evaluation and edited the extracted entities and relationships.Findings:An initial assessment demonstrated that our multi-layered ontology supports various types of queries and analyses in the public issue knowledge base(PIKB),which can serve as an effective tool to query,understand and trace public issues.Research limitations:Manual involvement cannot meet the requirements for challenges of sustainable developments.Since the relationships extracted are fully based on the co-occurrence of entities,rich semantic relationships,such as how much the key players have been involved,could not be fully reflected.Besides,the user evaluation is necessary for further ontology assessment.Practical implications:The PIKB can be used by regular Web users and policy makers to query,understand,and make sense of public events and topics.The methodology and reusable ontology model are useful for institutions that are interested in making use of the social media data.Originality/value:In this study,a multi-layered ontology is applied to model the evolving semantics of public events and trending topics in social media,and the semi-automatic approach could make it possible to extract entities and relationships from large amount of unstructured short texts of user generated content(UGC) from social media.

Development and application of knowledge-based subject group integration platforms:A case study of Shanghai Institute of Ceramics,CAS

Purpose:According to the different requirements of research group users,we established the knowledge-based subject group integration platforms of Shanghai Institute of Ceramics,the Chinese Academy of Sciences(abbreviated as SIC CAS hereinafter),which were designed and constructed to better meet the needs of CAS research groups for their development,collaboration and communication.Design/methodology/approach:We first identified the requirements of users via preliminary investigation,and then chose CASI1 P,iLibrary and XKE technology,respectively as the building tools compatible with the major demands of users.These steps helped us complete the layout design of SIC CAS integration platforms,as well as its knowledge organization and integration.Findings:According to the need of users,we applied three types of platform construction technologies to five SIC integration platforms,and formulated standard norms for the further construction process,which could provide useful reference for a sustainable development for the extensive construction in CAS institutes.Research limitations:In order to make the SIC integration platforms more intelligent and have more functions,we need to enlarge the scale of the Platforms and upgrade the building tools for the platform construction.Practical implications:The nature of SIC sub-project integration platforms is to construct a content-sensitive environment which can embed knowledge services and knowledge applications seamlessly into scientific activities,so the Platform is expected to be a useful tool to help researchers better understand the recent development of the research field and form collaborations with their peers.Originality/value:SIC integration platforms are the only pilot construction that used 3different platform technologies in the first batch of knowledge-based subject group integration platforms of the Chinese Academy of Sciences.The construction is user-centered throughout the whole process,namely,from the technology selection,content construction to the sustainable development of the platforms,which are all based on user requirements.During this process,we have not only established sustainable mechanisms for both the personalized feedback and security management of the institutional knowledge of SIC CAS,but also formed a service team for the sustainable development of SIC integration platforms.