인터렉티브 지식베이스 기반의 계획시스템

전형배,한은지,엄기현,조경은 한국게임학회 2009 한국게임학회 논문지 Vol.9 No.3

본 논문에서는 가상 에이전트의 행동 계획을 위한 인터렉티브 지식베이스 구축과 인터렉티브 지식베이스를 바탕으로 하는 계획시스템에 관한 방법을 제안한다. 고정적인 지식베이스는 고정적인 계획 수립만 가능하기 때문에 환경의 변화에 잘 대처하지 못한다. 그래서 이 논문에서는 다양한 환경에서 적용이 가능한 인터렉티브한 지식베이스의 구축과 인터렉티브 지식베이스를 활용할 수 있는 인공지능 계획시스템을 제안한다. 본 연구에서 제안한 인터렉티브 지식베이스는 동기, 행동, 사물, 실행의 4가지로 이루어지며 지식베이스의 입력과 지식베이스들 사이의 연관관계는 개발된 자동화 툴을 사용하여 설정한다. 이 툴을 사용하여 사용자는 쉽게 지식베이스에 구성요소들을 추가 또는 수정할 수 있다. 이 지식베이스를 바탕으로 캐릭터는 행동가능한 모든 항목들을 계획을 세우게 되며 이 중 한 가지를 선택하여 행동을 하게 된다. 후에 캐릭터의 환경이 변하게 되더라도 지식베이스의 업데이트를 통해 새로운 행동을 적용시킬 수가 있기 때문에 가상현실 콘텐츠제작자의 입장에서는 상당히 유용하다. 본 논문에서는 확장성이 있는 인터렉티브 지식베이스 구성요소와 구성요소들 사이의 관계설정 그리고 이를 쉽게 입력할 수 있는 툴과 인터렉티브 지식베이스에 적합한 계획시스템의 알고리즘을 제안하여 가상도서관이라는 가상환경에서 실험을 통해 결과를 검증하였다. This paper attempts to investigate the establishment of an interactive knowledge base for action planning by virtual agents and an interactive knowledge-based planning system. A fixed knowledge base is unable to properly handle a change in circumstances because fixed planning is only available under a fixed knowledge base. Therefore, this paper proposes the establishment of an interactive knowledge base which is applicable to diverse environments and an artificial intelligence planning system in which an interactive knowledge base is available. The interactive knowledge base proposed in this paper consists of motivation, behavior, object and action. The association relationship between knowledge base and its input is set using an automation tool. With this tool, a user can easily add to or amend the components of the knowledge base. With this knowledge base, a character plans all action items and chooses one of them to take an action. Since a new action can be applicable by updating the knowledge base even when the character environment changes, it is very useful for virtual reality content developers. This paper has established a relationship between scalable interactive knowledge base components and other components and proposes a convenient input tool and a planning system algorithm effective for an interactive knowledge base. The results of this study have been verified through testing in a virtual environment ('virtual library').

지식에서 지혜로: 지식기반사회에 대한 불교적 성찰

김종욱(Kim Jong-wook) 대한철학회 2006 哲學硏究 Vol.99 No.-

지식기반사회에서 지식은 진리의 파악이라기보다는 인지의 현상이자 정보의 습득인데, 데이터는 상호의존적 피드백을, 정보는 상호의존적 연결을, 지식은 상호의존적 맥락을 그 본질로 한다. 또한 지식의 형성은 정보와 지식 사이의 인지적 순환성에 의해 이루어지고, 지식의 창조는 지식과 지식사이의 상호작용적 의존성에 의해 이루어지는데, 이것은 지식의 형성과 지식의 창조가 모두 상호의존성을 그 본성으로 하고 있음을 보여준다. 지식의 이런 형성과 창조를 모든 가치의 원천으로 삼는 지식기반사회는 환경 문제에 관한 한 양면성을 지니고 있다. 지식기반사회는 탈산업화와 탈물질화를 특성으로 한다는 점에서 자연 자원의 소비를 감소시키는 친환경성을 지니지만, 네트워크화와 세계화를 특징으로 한다는 점에서는 폐기물과 오염물을 산출하여 전 지구적으로 확산시키는 반환경성을 지닌다. 지식기반사회가 지닌 친환경성을 강화하고 반환경성을 극복하기 위해서는 지식의 창조가 지혜의 통찰로 전환될 수 있어야 하는 바, 그런 지혜의 내용은 상호의존성의 철학과 상호존중의 윤리, 즉 연기와 자비의 통찰이다. 따라서 상호의존성으로서의 연기와 상호존중으로서의 자비라는 불교생태학적 지혜야말로 지식기반사회의 반환경성을 해독시켜 줄 뿐만 아니라, 지식기반사회 자체가 위험사회로 전화하는 것을 막는 가장 효과적인 제어책이 된다고 할 수 있다. The knowledge in a knowledge-based society is rather the phenomenon of cognition and the acquirement of information than the apprehension of truth; data, information, and knowledge are based on interdependent feedback, interdependent link, and interdependent context respectively. In addition, the formation of knowledge depends on the cognitive circularity between information and knowledge, and the generation of knowledge relies on the interactive dependence between pieces of knowledge, which shows that both the formation and creation of knowledge are based on interdependence. A knowledge-based society that has such formation and creation of knowledge as the source of all values has a dual nature in terms of environmental problems. The fact that a knowledge-based society is characterized by deindustrialization and dematerialization is closely related to its eco-friendly nature that decreases the amount of natural resources consumed; on the other hand, the fact that it is also characterized by networking and globalization is correlated with its anti-environmental nature where discarded materials and pollutants are produced and expanded on a global scale. In order to reinforce the eco-friendly nature and to overcome the anti-environmental nature of a knowledge-based society, the creation of knowledge must be converted into the insight into wisdom. The technology in a network society makes the world even more complicated, generating uncontrollable hazards and making the life of people far more uncertain. To prevent a network society from being a risk society, we must understand that the core structure of a knowledge-based society as well as the formation and creation of knowledge is the interdependence, and the moral beliefs in cooperation and coexistence based on interdependence and mutual respect must be shared by all. Such philosophy of interdependence and ethics of mutual respect form the core of the Buddhist introspection into ecology. Since the fundamental principle of ecology is interdependence, it is an ecological wisdom that all constituents forming the ecosystem must have mutual respect toward one another, which is restated in Buddhist terms as maitrīkaruṇā(慈悲, interrespect) due to pratītyasamutpāda(緣起, interdependence). Therefore, a knowledge-based society must be converted into a wisdom-based society so that the knowledge-based society may not be degraded to a risk society through a simple accumulation of knowledge. Furthermore, a so-called knowledge-based information society must be upgraded to a wisdom-based knowledge society, and the philosophy of interdependence and the ethics of mutual respect form the core of such wisdom. Consequently, the Buddhist ecological wisdom centered around interdependence and mutual respect is a solution to the anti-environmental nature of a knowledge-based society, and it is the most effective method to prevent a knowledge-based society from being degraded to a risk society.

A Function-Based Knowledge Base for Technology Intelligence

Janghyeok Yoon,Namuk Ko,Jonghwa Kim,Jae-Min Lee,Byoung-Youl Coh,Inseok Song 대한산업공학회 2015 Industrial Engineeering & Management Systems Vol.14 No.1

The development of a practical technology intelligence system requires a knowledge base that structures the core information and its relationship distilled from large volumes of technical data. Previous studies have mainly focused on the methodological approaches for technology opportunities, while little attention has been paid to constructing a practical knowledge base. Therefore, this study proposes a procedure to construct a function-based knowledge base for technology intelligence. We define the product-function-technology relationship and subsequently present the detailed steps for the knowledge base construction. The knowledge base, which is constructed analyzing 1110582 patents between 2009 and 2013 from the United States Patent and Trademark Office database, contains the functional knowledge of products and technologies and the relationship between products and technologies. This study is the first attempt to develop a large-scale knowledge base using the concept of function and has the ability to serve as a basis not only for furthering technology opportunity analysis methods but also for developing practical technology intelligence systems.

지식기반 시스템 분석을 통한 지식체계에 관한 고찰

이병수(Byung-Soo, Lee),이종덕(Jong-Deok, Lee),전한종(Han-Jong, Jun) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.동계

Architectural design support system for assist the work of the architects were introduced to the early 2000s, three-dimensional object-oriented methodology in a CAD system that provides a two-dimensional function of the heart, mainly the mid-80s, drawings, In a recent geometric modeling phase has been developed with the knowledge modeling. This feature of the object, the structure, purpose, characteristics, correlation, and restrictions from the three-dimensional model with the attribution information, means that there is a paradigm change in a new way to extract the knowledge required to custom. In other words, the most important thing in developing the knowledge-based architectural design support system to ensure a knowledge base of high quality. Now, however, research on the perception and the acquisition of knowledge on which to base the architectural design support system was defined by carefully defined and generally disturbing confusion. Accordingly, this research study as a basis for building a knowledge-based architectural design knowledge support system is good, in order to investigate the knowledge for the development or progress or knowledge based systems currently under development, the paradigm of the knowledge-based investigated and analyzed. It aims to provide a theoretical basis for the construction of integrated design knowledge from the knowledge base building design support system.

기업 간 네트워크에서 배태성과 지식 자산과의 관계

박철순 한국경영과학회 2019 經營 科學 Vol.36 No.2

The purpose of this study is to investigate the relationship between a firm’s embeddedness and knowledge base. In particular, it covers both the structural and relational dimensions of embeddedness and distinguishes a firm’s knowledge base with the breadth and depth of knowledge. In order to clarify the relationship among them, an agent-based model was established based on the organizational learning curve and simulations were conducted. The analysis of simulation data reveals that there is a positive relationship between a firm’s structural dimension of embeddedness and its breadth of knowledge, while a negative relationship with its depth of knowledge. The larger the degree centrality, the betweenness centrality, the number of structural holes, the number of balanced triads, the broader its knowledge and the less its depth of knowledge. Regarding the relational dimension of embeddedness, the larger the proportion of weak links and trust level, the broader its knowledge and the less its depth of knowledge base. The larger the proportion of strong links, the deeper its knowledge and the narrower its breadth. As for network type, a random network has the largest breadth and the lowest depth of knowledge base on average, while a small world network has the narrowest breadth and the largest depth of knowledge base on average. As the density of the network increases, the breadth of knowledge increases and the depth decreases on average. The greater the number of knowledge domains that a firm has, the wider and shallower the knowledge. The faster the industry is in depreciation of knowledge, the greater the breadth of knowledge and lessened the depth.

한국과 핀란드의 지식서비스산업 비교 분석

임응순,유승훈,정군오 한국산업경제학회 2008 산업경제연구 Vol.21 No.3

전 세계적으로 산업구조는 제조업 중심에서 서비스업 중심으로 변화하고 있으며, 서비스업의 무게중심도 지식서비스업으로 변모되어 가고 있다. 핀란드는 유럽에 속해있는 국가로서 소위 경제소국이지만 정보통신분야와 지식서비스산업분야에서는 경제대국이라 할 수 있다. 또한 한국에서도 지식서비스산업에 대한 관심이 커져가고 있다. 이에 본 연구에서는 산업연관분석을 통하여 한국과 핀란드 지식서비스산업의 국민경제적 파급효과를 비교해 보고자 한다. 먼저 수요유도형 모형을 이용하여 생산유발효과, 부가가치 유발효과를 살펴 볼 것이며, 공급유도형 모형 및 레온티에프 가격모형을 적용하여 지식서비스산업의 공급지장효과와 물가파급효과에 대하여 한국과 핀란드를 비교 분석한다. 이러한 분석은 지식서비스산업을 내생부문이 아닌 외생부문으로 다룸으로써 지식서비스산업을 중심으로 이루어지게 된다. 분석결과 지식서비스산업에서의 1원 생산이 타 산업에 유발하는 생산유발효과는 한국 0.2731원, 핀란드 0.3493원이었으며, 타 산업에 유발하는 부가가치 유발효과는 한국 0.1410원, 핀란드 0.2086원이었다. 수요유도형 모형을 이용한 결과는 핀란드가 한국에 비해 높게 나타났다. 지식서비스산업의 공급지장효과는 한국 0.6713원, 핀란드 0.7228원이었으며, 지식서비스산업의 10% 가격인상으로 인한 물가파급효과는 한국 0.1190%, 핀란드 0.2302%로 핀란드가 높게 나타났다. The industrial structure changed into service industry from manufacturing industry and has been changing into knowledge-based service industry based on knowledge world widely. Finland is an economically minor country but core country in knowledge-based service industry. Moreover the interest in knowledge-based service industry is now growing. This study attempts to compare the economic impacts of knowledge-based service industry between Finland and Korea using an inter-industry analysis. Specifically, the study analyzes and compares between Finland and Korea about production-inducing effect and value added inducing effect of knowledge-based service industry based on demand-driven model. Moreover, the study deals with supply shortage effect and sectoral price effect by using supply-driven model and Leontief price model, respectively. These analyses have made by dealing the knowledge-based service industry as exogenous not endogenous. The results show that, knowledge-based service industry induces production-inducing effect of 0.2731 won in other industries in Korea and 0.3493 won in other industries in Finland, value-added-inducing effects of 0.1410 won in other industries in Korea and 0.2086 won in other industries in Finland. results from using demand-driven model are higher in Finland than Korea. Knowledge-based service industry induces supply shortage effects 0.6713 won in other industries in Korea and 0.72628 won in other industries in Finland, and sectoral price effects are 0.1190% in Korea and 0.2302% in Finland due to the price increase of 10% of knowledge-based service industry.

화주기업과 물류기업 간 지식경영과 물류성과에 대한 비교분석에 관한 연구

임종섭(JongSub Lim) 한국물류학회 2016 물류학회지 Vol.26 No.2

본 연구는 화주기업과 물류기업간의 지식경영과 물류성과 간 비교분석을 하였다. 리더십 유형은 거래적 리더십, 변혁적 리더십 등의 변수로 측정하였고, 지식경영은 기업에서 수행하고 있는 명시적 지식과 암묵적 지식의 수준을 측정하였다. 물류성과는 리드 타임 단축, 부가가치 증대, 재고비용 감소 등의 변수로 측정하였다. 화주기업과 물류기업을 대상으로 전체 160개의 조사대상 표본 을 분석한 결과 다음과 같은 연구결과를 얻었다. 첫째, 리더십이 지식경영과 물류성과에 유의한 정의 영향을 미쳤다. 중간관리자 의 리더십이 다른 관리자보다 지식경영과 물류성과가 더 높게 나타났다. 둘째, 거래적 리더십과 변혁적 리더십이 지식경영에 유의 한 정의 영향을 미쳤다. 물류기업의 거래적 리더십이 화주기업보다 지식경영이 높게 나타난 반면에, 화주기업의 변혁적 리더십은 물류기업보다 지식경영이 더 높았다. 마지막으로, 지식경영이 리드타임 단축, 부가가치 증대, 재고비용 감소에 유의한 정의 영향을 미쳤다. 물류기업의 지식경영이 화주기업보다 리드타임 단축과 부가가치 증대가 높게 나타난 반면에, 화주기업의 지식경영은 물 류기업보다 재고비용 감소가 더 높았다. This paper examined the comparative analysis of knowledge-based management and logistics performance in shipper and logistics service provider. The transactional and transformative leadership were as proxy for the types of leadership. The explicit and tacit knowledge were as proxy for the knowledge-based management. The lead time deduction, value added increasement, and inventory cost deduction were as proxy for the logistics performance. Based on the analysis of one hundred sixty cases such as shipper and logistics service provider, the following results were found. First, the leadership of logistics manager have a positively significant influence on the knowledge-based management and logistics performance. The business level manager’s leadership have a grater knowledge-based management and logistics performance than the corporate and functional level manager. Second, the transactional and transformative leadership of logistics manager have a positively significant influence on the knowledge-based management. The logistics service provider manager’s transactional leadership have a grater knowledge-based management than shipper manager, but the shipper manager’s transformative leadership have a grater knowledge-based management than logistics service provider manager. Third, the knowledge-based management of shipper and logistics service provider have a positively significant influence on the lead time deduction, value added increasement, and inventory cost deduction of logistics performance. The logistics service provider’s knowledge-based management have a grater lead time deduction and value added increasement than shipper, but the shipper’s knowledge-based management have a grater inventory cost deduction than logistics service provider.

Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method

( Sungho Shin ),( Hanmin Jung ),( Mun Yong Yi ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.1

Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies` competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

지식서비스 산업발전을 위한 법적 과제

박훤일(Park, Whon-Il) 경희법학연구소 2010 경희법학 Vol.45 No.1

When a number of retailers in the Asia-Pacific region gathered in Seoul in October 2009, their top priority interest was how to introduce and apply the information and communications technologies (ICTs) to their conventional business. Likewise, in the present information society, it is critically important to codify knowledge and transmit it through communication networks, and thereby to provide high-value knowledge-based services to customers. Knowledge, skills and creativity equipped with the computer and Internet devices are the key to designing high value-added goods and services and advanced business practices. Since 1990s, the OECD has found that the development disparity among its member states and less developed countries comes from the difference of ICTs, R&D innovation and skilled labor forces, and has held a series of global fora on sharing the know-how and experience on such issues. Knowledge-based service industries consist of the businesses performing services by using ICT-related products and devices, pursuing R&D activities, or employing workers skilled at ICTs. Though the definition of knowledge-based services may vary by state or region, it must include such basic elements as ICTs linked with specific knowledge, considerable amount of R&D investments, highly skilled laborers, and high-value products or services. By analyzing the advanced economies, OECD has identified best practices for the knowledge-based economy in the field of science, technology and industry, and discussed noticeable trends, the role of the science system and the development of knowledge-based indicators and statistics. OECD has made suggestions to build up regional industrial clusters for balanced regional development. These lessons should be learned by the less developed countries. Furthermore, the government is responsible for cyber-security, authentication of electronic signature, protection of intellectual property rights, free access to government-held information. Also the government should pay attention to expanding IT networking and training opportunities of the personnel of small and medium-sized enterprises to enhance their IT-related capacity. This article explores, in particular, the legal aspects of knowledge-based service industries in Korea, putting aside the financial services which have taken quite different approaches. First of all, the Government Organization Act, which set the cornerstone by establishing the Ministry of Knowledge Economy, and the framework of the Industrial Development Act should be mentioned. The Industrial Development Act calls for national policy-making to prepare for the advent of knowledge-based economy and various policy measures for the industrial development towards knowledge-based economy. The Act has held the government liable to apply ICTs to conventional industries, and to promote R&D innovation, skilled labor forces, creative business model building, efficient outsourcing, and so forth. Such individual acts as the Display Service Development Act, the Act on Industrial Design Promotion, the Software Industry Development Act, E-Learning Industry Development Act, the Distribution Industry Development Act, etc. are regarded as containing several elements of knowledge-based economy. Legislation to promote knowledge-based economy should be centered on encouraging innovation, entrepreneurship, fair trade and competition, thus strengthening long-term infrastructure of overall business environment. It is contrary to the conventional industrial development measures which usually focus on the specific industrial areas or special policy measures. So to speak, desirable policy to enhance knowledge-based economy is like raining all over the forest rather than fertilizing individual trees.

지식집중도 구성요인의 구조적 관계에 관한 실증연구

이동진,이영면 한국인사조직학회 2010 인사조직연구 Vol.18 No.2

The world is shifting from the industrial society to the knowledge society, where people pay attention to organizations with intangible assets. In order to explicate the management systems of organizations based on intangible assets, this paper find empirically a theoretical structure of knowledge intensiveness, which knowledge intensity scales of works in organizations. Knowledge intensive organizations claim to produce qualified products and/or services, and even generate new and unique knowledge. Organizations as diverse as law and accounting firms, management consultancy companies, engineering consultancy companies, advertising agencies, research and development units, pharmaceuticals, and high tech companies as typical knowledge intensive organizations. But the notion of knowledge intensive organizations and related concepts such as knowledge intensive work is, of course, not unproblematic. Since all organizations and work involve knowledge, what qualifies as a knowledge intensive organizations or non-(or less) knowledge intensive organization and non-knowledge intensive work, is rarely self evident. We regard knowledge based organizations as units performing knowledge intensive work, and then refer to the key characteristics of the knowledge intensive work are as follows. First, works of knowledge based organization are required on the expertise. Second, the core part of works are performed by experts having expertise. Last, as expertises are consisted of formalized and informal knowledge, knowledge works are required on dialogues, consensuses, persuasions and negotiations based on human and social relationship. Thus, works in knowledge based organizations are going on through manipulating and orchestrating of individual thoughts and languages, and these works are referred to knowledge intensive work. Using these conceptual definition, we refer to the knowledge intensity of work as essential characteristics to works it self and work performing are needed on expertises, and then classify components of knowledge intensiveness of work to knowledge ambiguity required on work, client connectivity and collaboration of work, and results ambiguity of work, which order follows 'input→throughput→output' of knowledge intensive work. This classification of concepts in knowledge intensive work are focused on level of work units, thus in order to fit between level of theory, level of measurement, and level of analysis, we measure knowledge intensiveness of works based on performers, and go to the statistical analysis at work level. Empirical results are as follows. First, it is empirically not supported to concept based model, which are structural relationship among components of knowledge intensiveness in frame of 'input→through→output' paradigm. Rather, empirically supported that the best fitting structural model and the second best one have each exogenous(predictor) variables, which one is work collaboration and the other is client connectivity, these are throughput in knowledge intensive work. Of course, endogenous(criteria) variables are knowledge ambiguity and results ambiguity of work, which orderly input and output of knowledge intensive work. Throughput of knowledge intensive work were stronger factors than input, output components from the Lee(2008)'s exploratory factor analysis. Second, in path analysis results, regressional relationship between result and knowledge ambiguity is weak relatively to others. This may reveal that how a strong culture based on an acceptance of ambiguity(e.g., in roles, power relations, organizational routines and practices etc.) promote(moderate) development of relationship between result and knowledge ambiguity of work, which insisted by Kӓrreman et al.(2004), Robertson et al.(2003) and Willmott(1993). Last, exogenous variable of the best fitting model is work collaboration in multi-industry, but in contrast exogenous one is client connectivity in just professional service sectors.... 지식사회의 형성과정에서 전문지식서비스산업이 급속하게 확대됨에 따라 무형자산을 강조하는 지식기반조직에 대한 관심이 고조되었다. 그러나 지식기반조직은 대량생산체계를 갖춘 전통적 산업조직과 상호배타적 산업에 속하는 전통적 전문인력조직과 혼돈되고 있다. 본 연구에서는 지식기반조직의 개념을 보다 명확히 하기 위해 우선 산업범주를 초월하여 지식기반조직 여부를 판가름하는 조직 내 작업의 지식집중성에 대한 척도로서 지식집중도에 대한 개발과 탐구가 이루어져야 한다고 보고 그에 대한 이론구조를 밝히고 있다. 본 연구에서는 이동진(2008, 2009a)에서 작업의 지식집중성을 작업자가 개별적으로 인식하는 개인속성으로 개념화하고, 측정 및 분석한 요인구조가 이용되고 있다. 분석결과, 첫째, 지식집중도 구성요인의 구조적 관계는 지식작업의 '투입→과정→결과요소' 순으로 연역적으로 추론하였으나 실증적으로는 과정요소에 해당되는 협력성과 고객연계성을 예측(외생)변수로 하는 구조모형이 가장 양호한 모형적합도를 보였다. 둘째, 결과모호성과 지식모호성 간 인과관계는 통계적 유의성을 보이고는 있으나 영향력이 다른 구성요인들 사이의 관계에 비해서 상대적으로 미미하였다. 이 결과들은, 첫째, 지식집중작업에서는 과정요소의 지식집중성이 결과 및 투입요소를 예측하는 본질적 요인이라는 점을 시사한다. 둘째, 작업자들이 모호성에 대해 느끼는 불편함으로 인해 결과모호성과 지식모호성 간 인과성이 상대적으로 낮게 나타난 것으로 본다면, 지식집중성을 높이기 위해서는 개인수준에서의 태도와 조직수준에서의 문화, 구조 그리고 HR체계가 지식집중도 구성요인 사이의 인과관계에 각각 예측변수효과와 상황효과를 미칠 것으로 추론된다. 따라서 후속연구에서는, 지식집중도 구성요인 중 협력성과 고객연계성에 초점을 둔 보다 간명한 지식집중성 척도 개발과 함께, 개인수준의 지식집중도와 태도변수, 그리고 조직수준의 구조, 문화 그리고 HR체계 특성변수 사이의 관계를 분석함으로써 여러 수준으로 이루어진 지식기반조직에 대한 체계적인 실증연구가 이루어져야 할 것이다.