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.

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。

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.

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.

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.

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.

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.

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China

As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms,cooperative innovation is now crucial for traditional industries in the context of globalization.This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries.Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City,China,this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns.Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding,while firms with inferior abilities usually cooperate with nearby fixed partners.Due to the differences in innovation environment and actor locations,firms tend to make different choices regarding innovation types and models,which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale.Additionally,talent flow is the most important way to realize relationships for firm innovation activity.

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.

A Semantic Model Faced on the Uniform Product Knowledge Representation

In order to realize the uniform knowledge representation including STEP and SGML,aimed at the defects of cur- rent methods,a new semantic model that is named XOEM+OWL is put forward.And then the correspondent mapping between STEP Schema Graph and OWL Schema Graph are build as Cos(sc,oc),so we can get the semantic pattern matching degree for the semantic representation on the product information.At last the example is presented.

An Intermediary Organization Finds Potential Needs By Exploiting Serendipity

This paper intends to clarify the needs serendipity in creating new business. The authors will show that serendipity is capability method of finding potential needs and/or new markets. In economic society, potential needs and/or new markets are only partially exposed, such as an iceberg. Serendipity is a capability that can expose the potential hidden part through accidental opportunity. Something more concrete can be formed from the exposed parts. The authors describe cases that demonstrate the usefulness of serendipity. In one case, a high-tech start-up had intended to use medical electronic equipment and/or industrial electronic equipment as the first application of their core technology. In these markets, they were competing with established major companies, so this start-up had difficulty entering these markets. However, a specific distributor found potential needs that were met by the start-up＇s products, and has created a new market by combining their core technology with social needs. The authors define serendipity capability by analyzing this case example and argue that serendipity can contribute to finding opportunities and solving social issues.

The Exploratory Analysis on Knowledge Creation Effective Factors in Software Requirement Development

The knowledge creation effective factors were found in both necessary elements for stimulus of knowledge creation and the key influencing factors of software project success. The research was carried with the specific successful practices of Microsoft Corporation and William Johnson’s analysis of R & D project knowledge creation. The knowledge creation effective factors in requirement development project are clarified through deeply interviewing the software enterprises in Guangdong province as well as other corporate information departments. The effective factors are divided with R & D project knowledge creation model in the view of organizational, team, personal and technical four levels through literature research and interview in enterprises, and the empirical study was done with questionnaire and exploratory analysis.

Research on Intelligent Organization and Application of Multi-source Heterogeneous Knowledge Resources for Energy Internet

To improve the informationization and intelligence of the energy Internet industry and enhance the capability of knowledge services,it is necessary to organize the energy Internet body of knowledge from existing knowledge resources of the State Grid,which have the characteristics of large scale,multiple sources,and heterogeneity.At the same time,the business fields of State Grid cover a wide range.There are many sub-fields under each business field,and the relationship between fields is diverse and complex.The key to establishing the energy Internet body of knowledge is how to fuse the heterogeneous knowledge resources from multiple sources,extract the knowledge contents from them,and organize the different relationships.This paper considers transforming the original knowledge resources of State Grid into a unified and wellorganized knowledge system described in OWL language to meet the requirements of heterogeneous resource integration,multi-source resource organization,and knowledge service provision.For the State Grid knowledge resources mainly in XML format,this paper proposes a Knowledge Automatic Fusion and Organization idea and method based on XSD Directed Graph.According to the method,the XML corresponding XSD documents are transformed into a directed graph in the first stage during which the graph neural network detects hidden knowledge inside the structure to add semantic information to the graph.In the second stage,for other structured knowledge resources(e.g.,databases,spreadsheets),the knowledge contents and the relationships are analyzed manually to establish the mappings from structured resources to graph structures,using which the original knowledge resources are transformed into graph structures,and merged with the directed graphs obtained in the first stage to achieve the fusion of heterogeneous knowledge resources.And expert knowledge is introduced for heterogeneous knowledge fusion to further extend the directed graph.And in the third stage,the expanded directed graph is converted to the body of knowledge in the form of OWL.This paper takes the knowledge resources in the field of human resources of the State Grid as an example,to establish the ontology of the human resources training field in a unified manner,initially demonstrating the effectiveness of the proposed method.

Structural choice based on knowledge discovery system

Structural choice is a significant decision having an important influence on structural function, social economics, structural reliability and construction cost. A Case Based Reasoning system with its retrieval part constructed with a KDD subsystem, is put forward to make a decision for a large scale engineering project. A typical CBR system consists of four parts: case representation, case retriever, evaluation, and adaptation. A case library is a set of parameterized excellent and successful structures. For a structural choice, the key point is that the system must be able to detect the pattern classes hidden in the case library and classify the input parameters into classes properly. That is done by using the KDD Data Mining algorithm based on Self Organizing Feature Maps (SOFM), which makes the whole system more adaptive, self organizing, self learning and open.