• 제목/요약/키워드: Decision-Making Trial and Evaluation Laboratory(DEMATEL)

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Monitoring the Change of Technological Impacts of Technology Sectors Using Patent Information: the Case of Korea

  • Yoon, Janghyeok;Kim, Mujin;Kim, Doyeon;Kim, Jonghwa;Park, Hyunseok
    • Industrial Engineering and Management Systems
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    • 제14권1호
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    • pp.58-72
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    • 2015
  • A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

Handling dependencies among performance shaping factors in SPARH through DEMATEL method

  • Zhihui Xu;Shuwen Shang;Xiaoyan Su;Hong Qian;Xiaolei Pan
    • Nuclear Engineering and Technology
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    • 제55권8호
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    • pp.2897-2904
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    • 2023
  • The Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method is a widely used method in human reliability analysis (HRA). Performance shaping factors (PSFs) refer to the factors that may influence human performance and are used to adjust nominal human error probabilities (HEPs) in SPAR-H. However, the PSFs are assumed to be independent, which is unrealistic and can lead to unreasonable estimation of HEPs. In this paper, a new method is proposed to handle the dependencies among PSFs in SPAR-H to obtain more reasonable results. Firstly, the dependencies among PSFs are analyzed by using decision-making trial and evaluation laboratory (DEMATEL) method. Then, PSFs are assigned different weights according to their dependent relationships. Finally, multipliers of PSFs are modified based on the relative weights of PSFs. A case study is illustrated that the proposed method is effective in handling the dependent PSFs in SPAR-H, where the duplicate calculations of the dependent part can be reduced. The proposed method can deal with a more general situation that PSFs are dependent, and can provide more reasonable results.

Study on Decision-Making Factors of Big Data Application in Enterprises: Using Company S as an Example

  • Huang, Yun Kuei;Yang, Wen I.;Chan, Ching Sen
    • 동아시아경상학회지
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    • 제4권1호
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    • pp.5-15
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    • 2016
  • With vigorous development of global network community, smart phones and mobile devices, enterprises can rapidly collect various kinds of data from internal and external environments. How to discover valuable information and transform it into new business opportunities from big data which grow rapidly is an extremely important issue for current enterprises. This study treats Company S as the subject and tries to find the factors of big data application in enterprises by a modified Decision Making Trial and Evaluation Laboratory (DEMATEL) and perceived benefits - perceived barriers relation matrix as reference for big data application and management of managers or marketing personnel in other organizations or related industry.

A Grey MCDM Based on DEMATEL Model for Real Estate Evaluation and Selection Problems: A Numerical Example

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Thanh-Tam;NGUYEN, Thi-Giang;VU, Dang-Duong
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.549-556
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    • 2020
  • Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.

DEMATEL 및 내용분석기법을 활용한 농촌마을종합개발사업 문제점 및 개선방안의 정량적 분석 (Quantitative Analysis for Problems and Improvement Directions of the Comprehensive Rural Village Development Projects using DEMATEL and Contents Analysis)

  • 배승종
    • 농촌계획
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    • 제16권3호
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    • pp.173-184
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    • 2010
  • The objectives of this study are to quantitatively analyze problems and improvement directions of the comprehensive rural village development projects through DEMATEL and contents analysis. Contents analysis was conducted for 15 existing researches and 28 problems were deducted at the stage of the comprehensive rural village development projects. The Decision Making Trial and Evaluation Laboratory(DEMATEL), a mathematical computation method, was utilized as an objective method to handle the inner dependences within a set of problems. The results of this research are summarized as follows. First, insufficient education and publicity of project was the most considerable cause problem. Second, lack of participation, will, and ability of residents was the most considerable effect problem. Finally, several improvements of the comprehensive rural village development projects were deducted by cause and effect relationship of problems.

직관적퍼지 DEMATEL&ISM법 기반 선박의 전주기를 고려한 선박관리산업의 경쟁력 강화 원인요인 도출 (Extraction of Cause Factors to Enhance the Competition of Ship Management Industry Considering Ship's Lifecycle based an Intuitionistic Fuzzy DEMATEL&ISM)

  • 장운재
    • 해양환경안전학회지
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    • 제27권2호
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    • pp.228-237
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    • 2021
  • 최근 부산시는 선박관리산업의 관심을 증대시키고, 경쟁력을 강화 및 지원하기 위한 조례를 제정하였다. 본 연구는 직관적퍼지 DEMATEL&ISM법을 이용하여 선박관리산업 경쟁력 강화의 원인요인을 도출하는데 있다. 이를 위해 먼저 선박관리산업발전법에 명시된 내용을 기반으로 8개의 요인을 추출한다. 두번째는 직관적 퍼지수를 표준퍼지수를 이용하여 크리습 수로 변환한다. 세번째는 DEMATEL법을 이용하여 영향관계를 분석하고 ISM법을 이용하여 요인에 대해 우선순위를 결정한다. 영향관계 분석결과 원인요인은 기술적 선박관리 역량 제고, 육상관리인력 전문성 제고, 한국선원인력 자질향상으로 나타났다. ISM법에 의한 우선순위는 한국선원 자질향상, 육상관리인력 전문성 제고, 기술적 선박관리 역량제고, 상업적 선박관리 역량 제고, 종합정보시스템구축 = 선원 근로조건 및 고용환경 개선 = 금융 등 지원 = 외국인 선원 공급 강화 등의 순으로 나타났다. 따라서 전체 영역에서 원인요인이며 우선순위가 높은 상위 3개의 요인에 대해 우선적인 정책추진이 필요하다.

Key Success Factors of Blockchain Platform for Micro-enterprises

  • YANG, Mei-Hsiang;LEE, Tzong-Ru;CHANG, Tin-Chang
    • The Journal of Asian Finance, Economics and Business
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    • 제6권3호
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    • pp.283-293
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    • 2019
  • The purposes of the study are threefold: (1) develop key successful factors of blockchain platform for micro-enterprises based on Balanced Scorecard (BSC), (2) find out the correlation between the key successful factors of blockchain platform for micro-enterprises, and (3) understand the perception of micro-enterprise blockchain and the difference between theoretical guidance and practical application. This study combines Interpretative Structural Modeling Method, (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) to analyze the causal relationships and hierarchical structures of the 12 key successful factors of blockchain platform for micro-enterprises and understand the correlation between factors. The 12 key successful factors developed based on the four perspectives of the Balanced Scorecard, and the questionnaire designs based on the concept of DEMATEL, and then analyzed data by DEMATEL and ISM methods to understand the correlation between key factors. The research results show that the key successful factors of blockchain platform for micro-enterprises include "brand equity", "security and anti-counterfeiting", "sales growth", "transparency and clear", "trust", "consensus mechanism", "traceability", "consistency", "tracking", "innovation management", "international", "organizational adaptation", in which consumer "trust" plays an important role. Micro-enterprises can use blockchain to expand the market, provide customers with better service quality, and bring sales growth to micro-enterprises.

Exploring the Usage of the DEMATEL Method to Analyze the Causal Relations Between the Factors Facilitating Organizational Learning and Knowledge Creation in the Ministry of Education

  • Park, Sun Hyung;Kim, Il Soo;Lim, Seong Bum
    • International Journal of Contents
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    • 제12권4호
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    • pp.31-44
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    • 2016
  • Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

의사결정 지원 정보시스템 개발을 위한 Delphi-DEMATEL모델에 의한 의사결정 요인분석 -전작권 전환 사례를 중심으로- (An Analysis of Decision Making Factor by Delphi and DEMATEL Model for Decision Support Information System development -Wartime Operational Control Transition approach-)

  • 박상중;고찬
    • 디지털융복합연구
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    • 제10권11호
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    • pp.47-58
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    • 2012
  • 본 연구는 Delphi 및 DEMATEL 기법을 활용하여 참여정부의 전시작전통제권(이후 전작권) 전환에 관한 정치 군사적 결정요인을 선정하고, 이들 결정요인간의 영향정도 및 관계를 정량적 정성적으로 분석하는데 있다. AHP를 활용한 기존 연구에서는 전작권 전환 결정요인을 학술자료와 현장실무경험을 바탕으로 선정하여, 요인선정에 대한 보다 객관적인 분석이 요구되었다. 본 연구를 위해 온라인 및 오프라인 환경에서 안보 관련 전문가 집단을 대상으로 일련의 설문을 실시하였다. 분석결과로 참여정부의 전작권 전환 결정요인은 크게 '군사주권의 회복', '평화통일을 위한 여건조성', '우리나라의 국력신장에 따른 국격 제고'로 AHP기법에 의한 기존연구와 대동소이하였으며, 전작권 전환 결정요인간의 영향 및 관계는 '군사주권 회복'과 '평화통일을 위한 여건조성'은 별개 사안으로 상호 연관성이 없고 '군사주권 회복'이라는 진보세력의 정치적 이익이 주된 결정요인이었던 것으로 나타났다. 본 연구는 Delphi 및 DEMATEL 기법을 적용하여 참여정부의 전작권 전환 결정요인에 대해 정략적 정성적 분석을 실시하였는데 의의가 있다.

Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN

  • Meng, Xiangkun;Chen, Guoming;Zhu, Gaogeng;Zhu, Yuan
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권1호
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    • pp.22-32
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    • 2019
  • On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.