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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Since its introduction as one of innovative strategies to improve corporate performance, KM (knowledge management) has worked very successfully in many kinds of industries and companies around the world. Especially, in the last decade, South Korean companies have adopted KMS very eagerly and applied it to eliminate many kinds of management inefficiencies and improve business performance. In recent couple of years, KMS evolved from a simple IS for helping workers reduce information search time to highly intelligent decision support system with which users can develop a new idea and come up with effective strategies to improve business performance dramatically. To add uniqueness to such advanced version of KMS, we call it as a next-generation KMS which differs from conventional KMSs in that the next-generation KMS is supposed to provide relevant decision support to workers and help them achieve significantly what they intend to do in their business activities. Recent web 2.0 technologies such as collective intelligence, wiki-style knowledge creation and sharing techniques, and participating knowledge activities provide a full support to the next-generation KMS. However, there exist very few studies to support the role of the next-generation KMS on improving corporate performance. To fulfill this research void, we apply a rigorous and empirical way by proposing a number of unexplored hypotheses. In this sense, this study proposes following research objectives.First, by performing a rigorous literature study, we induce that the next-generation KMS should fulfill its goal to provide a full support to the knowledge circulation process (KCP). Naturally, the first research purpose of this study is to test several hypotheses related to showing how each step of KCP is supported by the next-generation KMS. Herein, the KMS is assumed to consist of five steps such as knowledge creation, knowledge storage, knowledge sharing, knowledge utilization and knowledge learning. Second, this study intends to empirically analyze the impact of the next-generation KMS on corporate performance. As one of rigorous experiments, we built a number of research hypotheses to prove how much the next-generation KMS could contribute to the success of target companies. For this purpose, two professional KM consultants were recommended to review feasibility of a target KMS of H company to see whether it possesses the next-generation KMS properties this study requires. Feasibility test was to analyze whether the target KMS has the next-generation functionalities as required by literature. Results were clear- the target KMS has a number of functionalities to provide relevant support to workers. Empirical test process was performed like this. First, questionnaire items were prepared by using relevant literature. Final questionnaire was pre-tested whether it suits our research purpose. Among total 1,678 questionnaires distributed, 1,024 responses were collected which was about 61 % response rate. Researcg hypotheses were formed as a path analysis model, so SmartPLS 2.0 software was used to analyze and test the research model. Reliability test as well as feasibility test results were valid. Hypotheses tests were striking. all the KCP-related hypotheses were significantly supported, which indicates that target KMS is a truly next- generation KMS. Through the empirical tests, we came to conclude that a positive influence of the KCP on corporate performance was proven, and among the five KCP processes, only two processes such as knowledge utilization knowledge learning turned out to significantly influence the corporate performance.
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    Since its introduction as one of innovative strategies to improve corporate performance, KM (knowledge management) has worked very successfully in many kinds of industries and companies around the world. Especially, in the last decade, South Korean co...

    Since its introduction as one of innovative strategies to improve corporate performance, KM (knowledge management) has worked very successfully in many kinds of industries and companies around the world. Especially, in the last decade, South Korean companies have adopted KMS very eagerly and applied it to eliminate many kinds of management inefficiencies and improve business performance. In recent couple of years, KMS evolved from a simple IS for helping workers reduce information search time to highly intelligent decision support system with which users can develop a new idea and come up with effective strategies to improve business performance dramatically. To add uniqueness to such advanced version of KMS, we call it as a next-generation KMS which differs from conventional KMSs in that the next-generation KMS is supposed to provide relevant decision support to workers and help them achieve significantly what they intend to do in their business activities. Recent web 2.0 technologies such as collective intelligence, wiki-style knowledge creation and sharing techniques, and participating knowledge activities provide a full support to the next-generation KMS. However, there exist very few studies to support the role of the next-generation KMS on improving corporate performance. To fulfill this research void, we apply a rigorous and empirical way by proposing a number of unexplored hypotheses. In this sense, this study proposes following research objectives.First, by performing a rigorous literature study, we induce that the next-generation KMS should fulfill its goal to provide a full support to the knowledge circulation process (KCP). Naturally, the first research purpose of this study is to test several hypotheses related to showing how each step of KCP is supported by the next-generation KMS. Herein, the KMS is assumed to consist of five steps such as knowledge creation, knowledge storage, knowledge sharing, knowledge utilization and knowledge learning. Second, this study intends to empirically analyze the impact of the next-generation KMS on corporate performance. As one of rigorous experiments, we built a number of research hypotheses to prove how much the next-generation KMS could contribute to the success of target companies. For this purpose, two professional KM consultants were recommended to review feasibility of a target KMS of H company to see whether it possesses the next-generation KMS properties this study requires. Feasibility test was to analyze whether the target KMS has the next-generation functionalities as required by literature. Results were clear- the target KMS has a number of functionalities to provide relevant support to workers. Empirical test process was performed like this. First, questionnaire items were prepared by using relevant literature. Final questionnaire was pre-tested whether it suits our research purpose. Among total 1,678 questionnaires distributed, 1,024 responses were collected which was about 61 % response rate. Researcg hypotheses were formed as a path analysis model, so SmartPLS 2.0 software was used to analyze and test the research model. Reliability test as well as feasibility test results were valid. Hypotheses tests were striking. all the KCP-related hypotheses were significantly supported, which indicates that target KMS is a truly next- generation KMS. Through the empirical tests, we came to conclude that a positive influence of the KCP on corporate performance was proven, and among the five KCP processes, only two processes such as knowledge utilization knowledge learning turned out to significantly influence the corporate performance.

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    참고문헌 (Reference)

    1 유기동, "편재형 컴퓨팅 기술을 적용한 차세대형 지식경영시스템의 비전과 연구 이슈" 한국지식경영학회 10 (10): 1-15, 2009

    2 최종진, "창의적 학습동아리 활동을 통한 차세대 지식경영 구현사례 : 포스코" 한국지식경영학회 9 (9): 147-161, 2008

    3 최성, "차세대 지식경영시스템(KMS) 아키텍처(Architecture)" 14 (14): 32-40, 2007

    4 이건창, "지식순환의 관점에서 살펴본 KMS-업무적합이 조직성과에 미치는 영향에 관한 연구" 한국지식경영학회 5 (5): 53-65, 2004

    5 유기동, "지식근로자의 상황정보를 이용한 자율적 지식획득 방법론: 대화형 지식의 획득을 위한 차세대형 지식경영시스템" 한국지식경영학회 9 (9): 65-75, 2008

    6 신선진, "지식관리시스템에서의 지식공유에 대한 영향요인과 성과 간의 구조적 관계에 관한 연구" 한국지식경영학회 9 (9): 87-107, 2008

    7 김상수, "지식경영의 성공요인에 관한 실증적 연구" 29 (29): 585-616, 2000

    8 김호열, "지식경영 기반구조와 지식관리시스템의 프로세스 역량이 기업성과에 미치는 영향" 한국경영학회 36 (36): 257-296, 2007

    9 이해영, "새로운 인적자원개발 전략으로서 지식경영과 조직학습의 개념적 연계" 한국인력개발학회 10 (10): 173-194, 2008

    10 이영찬, "기업의 사회적 자본, 지식경영활동, 그리고 성과 간의 구조적 인과관계" 한국지식경영학회 9 (9): 129-146, 2008

    1 유기동, "편재형 컴퓨팅 기술을 적용한 차세대형 지식경영시스템의 비전과 연구 이슈" 한국지식경영학회 10 (10): 1-15, 2009

    2 최종진, "창의적 학습동아리 활동을 통한 차세대 지식경영 구현사례 : 포스코" 한국지식경영학회 9 (9): 147-161, 2008

    3 최성, "차세대 지식경영시스템(KMS) 아키텍처(Architecture)" 14 (14): 32-40, 2007

    4 이건창, "지식순환의 관점에서 살펴본 KMS-업무적합이 조직성과에 미치는 영향에 관한 연구" 한국지식경영학회 5 (5): 53-65, 2004

    5 유기동, "지식근로자의 상황정보를 이용한 자율적 지식획득 방법론: 대화형 지식의 획득을 위한 차세대형 지식경영시스템" 한국지식경영학회 9 (9): 65-75, 2008

    6 신선진, "지식관리시스템에서의 지식공유에 대한 영향요인과 성과 간의 구조적 관계에 관한 연구" 한국지식경영학회 9 (9): 87-107, 2008

    7 김상수, "지식경영의 성공요인에 관한 실증적 연구" 29 (29): 585-616, 2000

    8 김호열, "지식경영 기반구조와 지식관리시스템의 프로세스 역량이 기업성과에 미치는 영향" 한국경영학회 36 (36): 257-296, 2007

    9 이해영, "새로운 인적자원개발 전략으로서 지식경영과 조직학습의 개념적 연계" 한국인력개발학회 10 (10): 173-194, 2008

    10 이영찬, "기업의 사회적 자본, 지식경영활동, 그리고 성과 간의 구조적 인과관계" 한국지식경영학회 9 (9): 129-146, 2008

    11 강명희, "개방·공유·참여의 대학 교육환경 구축 사례" 한국지식경영학회 9 (9): 17-33, 2008

    12 Schneckenberg, D., "Web 2.0 and the empowerment of the knowledge worker" 13 (13): 509-520, 2009

    13 Levy, M., "WEB 2.0 implications on knowledge management" 13 (13): 120-134, 2009

    14 Garud, R., "Vicious and Virtuous Circles in the Management of Knowledge: The Case of Infosys Technologies" 29 (29): 9-33, 2005

    15 Documarest, M., "Understanding Knowledge Management" 30 (30): 374-384, 1997

    16 Ruggles, R., "The State of the Notion: Knowledge Management In Practice" 40 (40): 80-89, 1998

    17 Leonard, D., "The Role of Tacit Knowledge in Group Innovation" 40 (40): 112-132, 1998

    18 Chin, WW., "The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research" Lawrence Erlbaum Associates 1998

    19 Nonaka, I., "The Knowledge Creating Company" Oxford University Press 1995

    20 Senge, P.M., "The Fifth Discipline: The Art and Practice of the Learning Organization" Doubleday/Currency 1990

    21 Nonaka, I., "The Concept of ”Ba“: Building a Foundation for Knowledge Creation" 40 (40): 3-54, 1998

    22 Mason, R.M., "Strategic Information Systems:Use of Information Technology in a Learning Organization" 840-849, 1993

    23 Davenport, T.H., "Some principles of knowledge management"

    24 Wold, H., "Soft Modeling:the Basic Design and Some Extensions. in: System Under Indirect Observations: Part 2" AmsterdamNorth- Holland 1982

    25 Blanning, R.W., "Organizations Intelligence" IEEE Computer Society Press 39-50, 1995

    26 Stata, R., "Organizational learning: the key to management innovation" 30 (30): 63-74, 1989

    27 Jennex L. Olfman, "Organizational Memory/Knowledge Effects on Productivity, a Longgitudinal Study" 1029-1038, 2002

    28 Becerra-Fernandez, I., "Organizational Knowledge Management:A Contingency Perspective" 18 (18): 23-55, 2001

    29 Hair, J.F., "Multivariate Data Analysis:With Readings, 4thed" PrenticeHall 1998

    30 Choo, A.S., "Method and Psychological Effects on Learning Behaviors and Knowledge Creation in Quality Improvement Projects" 53 : 437-450, 2007

    31 Cha, H.S., "Mandging the Knowledge Supply Chain: An Organizational Learning Model of Information Technology Offshore Outsourcing" 32 : 281-306, 2008

    32 Pearlson, K., "Managing and Using Information Systems, 2nd ed" John Wiley and Sons Inc 2004

    33 Krogh, G.V., "Making the most of your company's knowledge:A strategic framework" 34 : 421-439, 2001

    34 Yu, S.H., "Linking Organizatrional Knowledge Management Drivers to Knowledge management Performance: An Exploratory Study" 5 : 237-346, 2004

    35 Salomon, R., "Learning, Knowledge Transfer, and Technology Implementation Performance: A Study of Time-to-Build in the Global Semiconductor Industry" 54 : 1266-1280, 2008

    36 Yoo, K., "Knowledge flow-based business process redesign:Applying a knowledge map to redesign a business process" 11 (11): 104-125, 2007

    37 Sviokla, J.J., "Knowledge Workers and Radically New Technology" 37 (37): 25-40, 1996

    38 Gold, A.H., "Knowledge Management: an Organizational Capabilities Perspective" 18 (18): 185-214, 2001

    39 Van der Spek, R., "Knowledge Management: Dealing Intelligently with Knowledge. in: Knowledge Management And Its Integrative Elements" CRC Press 1997

    40 Alavi, M., "Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues" 25 (25): 107-136, 2001

    41 Alavi, M, "Knowledge Management Systems: Issues, Challenges, and Benefits" 1 (1): 1-37, 2001

    42 Alavi, M., "Knowledge Management Systems: Emerging Views and Practices from the Field" 1999

    43 O'Leary, D.E., "Knowledge Management Systems: Converting and Connecting" 30-33, 1998

    44 Prusak, L., "Knowledge Management : The Ultimate Competitive Weapon IBM Global Service" 1997

    45 Haas, M.R., "Knowledge Gathering, Team Capabilities, and Project Performance in Challenging Work Environments" 52 : 1170-1184, 2006

    46 Ryu, C.S., "Knowledge Acquisition Via Three Learning Processes In Enterprise Information Portals: Learning-By-Investment, Learning-By-Doing, And Learning-From-Others" 29 (29): 245-278, 2005

    47 Lee, K.C., "KMPI:measuring knowledge management per formance" 42 : 469-482, 2005

    48 Bolloju, N., "Integrating knowledge management into enterprise environments for the next generation decision support" 33 : 163-176, 2002

    49 Davenport, T.D., "Improving Knowledge work Processes" 37 (37): 53-65, 1996

    50 Arora, R., "Implementing Knowledge Management - A Balanced Scorecard Approach" 6 (6): 240-249, 2002

    51 Durcikova, A., "How Knowledge Validation Processes Affect Knowledge Contribution" 25 (25): 81-107, 2009

    52 Bierly, P., "Generic Knowledge Strategies in the U.S. Pharmaceutical Industries" 17 (17): 123-136, 1996

    53 Shin, M. T. Holden, "From knowledge theory to management practice: Towards an integrated approach" 37 (37): 335-355, 2001

    54 Kerlinger, F.N., "Foundations of Behavioral Research" Harcourt Collage Publishers 2000

    55 Fornell, C., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error" 18 (18): 39-51, 1981

    56 O'Leary, D.E., "Enterprise Knowledge Management" 54-61, 1998

    57 Cabrera, A., "Determinants of individual engagement in knowledge sharing" 17 (17): 245-264, 2006

    58 Kankanhalli, A., "Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation" 29 (29): 113-143, 2005

    59 Dave, B., "Collaborative knowledge management—A construction case study" 18 : 894-902, 2009

    60 Krogh, G.V., "Care in knowledge Creation" 40 (40): 133-153, 1998

    61 Bock, G.W., "Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate" 29 (29): 87-111, 2005

    62 Sherif, K., "Adaptive processes for knowledge creation in complex systems:IT case of a golbal IT consulting firm" 43 : 530-540, 2006

    63 Stein, E.W., "Actualizing Organizational Memory with Information Systems" 6 (6): 83-117, 1995

    64 Falk, R.F., "A premier for soft modeling" The University of Akron 1992

    65 Abar, S., "A Next Generation Knowledge Management System Architecture" 191-195, 2004

    66 Kulkarni, U.R., "A Knowledge Management Success Model: Theoretical Development and Empirical Validation" 23 : 309-347, 2007

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