• 제목/요약/키워드: Interpretive Structural Modeling

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Validation and Modeling of Drivers and Barriers of Multivendor ATM Technology in India from Suppliers' Perspectives

  • Jyotiranjan Hota;Saboohi Nasim
    • Asia pacific journal of information systems
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    • 제30권2호
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    • pp.374-396
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    • 2020
  • The purpose of the paper is to apply Total Interpretive Structural Modeling (TISM) used to develop a hierarchy among the key drivers and barriers to multivendor ATM Technology adoption in India from the perspectives of suppliers. TISM approach is an extension of Warfield's (IEEE Transactions: System, Man & Cybernetics 4:405-17, 1974) Interpretive Structural Modeling(ISM) approach. Based on the literature, drivers and barriers for adoption of Multivendor ATM Technology are identified. TISM is used to develop a hierarchical model which states the interpretation of relationship among these drivers and barriers. Hierarchies of all relevant drivers and barriers are developed and significant interrelationship was found out. Implications for the researchers and Industry Practitioner are highlighted. For Researchers, TISM methodology facilitates to further carry out exploratory studies by identifying the factors in technology adoption domain and focus their interactions through hierarchical structures. For Practitioners with suppliers, a list of relevant barriers and drivers to adoption of this technology in India are indications to take a decision to adopt Multivendor ATM Technology in their respective suppliers. The proposed Model developed through qualitative Modeling technique has been accomplished from the perspectives of suppliers in India in the domain of multivendor ATM Technology for the first time in ATM Banking as a contribution to the Literature.

Selecting a Web Portal for Online Shopping: A Conceptual Approach Using Interpretive Structural Modeling

  • Prashar, Sanjeev;Vijay, T. Sai;Parsad, Chandan
    • Asian Journal of Business Environment
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    • 제5권4호
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    • pp.37-46
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    • 2015
  • Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

디지털 헬스케어 서비스 활성화를 위한 고객지향적 속성에 관한 탐색적 연구 : 해석적 구조 모형을 이용하여 (An Exploratory Study on Customer-oriented Attributes for the Revitalization of Digital Healthcare Service : Using Interpretive Structural Modeling)

  • 지대범;최정일;김용희
    • 한국IT서비스학회지
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    • 제17권1호
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    • pp.105-119
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    • 2018
  • The healthcare business is growing as a global core business because of the phenomenon of global aging, as well as in South Korea, skyrocketing health care costs accordingly, and changing the paradigm from treatment to the prevention-centered medical service. Especially, as the digital healthcare service stands out as a solution, major countries actively promote and support policies at the government level. Thus, this study will present attributes of a market-oriented service that would vitalize the digital healthcare service industry by investigating major attributes of the digital healthcare service. To analyze the relationships of the influences of attributes, this study used Interpretive Structural Modeling. As a result of literature research and ISM, this study can understand the eight basic attributes of the digital healthcare service (network scalability, context awareness, connection among information platforms, cost, trust, security, ease of use, usefulness) and analyze the relationships of the influences among the attributes. In addition, as this study finds some significant differences in Order Winner and Order Qualifier between the experts' group (security) and the users' group (trust, ease of use, usefulness), It provides meaningful implications for revitalization and promotion of digital healthcare service industry.

Implementation and Performance Evaluation of a Firm's Green Supply Chain Management under Uncertainty

  • Lin, Yuanhsu;Tseng, Ming-Lang;Chiu, Anthony S.F.;Wang, Ray
    • Industrial Engineering and Management Systems
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    • 제13권1호
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    • pp.15-28
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    • 2014
  • Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an ongoing process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria.

Interpretive Structural Modeling in the Adoption of IoT Services

  • Kim, Yonghee;Park, Youngju;Song, Gwangsuk
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1184-1198
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    • 2019
  • This study aims to use ISM to identify the enablers affecting the acceptance of IoT services. For this purpose, this study conducted an ISM analysis and a MICMAC analysis, extracted the enablers from Internet of Things - An Action Plan for Europe published by the EU for the research, and conducted interviews and surveys. The study found that it would be preferentially necessary to prepare the base for successful IoT services through international cooperation and the security of objective data. In addition, it turned out that it would be necessary to make efforts to spread and develop IoT services by conducting R&D and implementing projects through public-private partnerships and the organization of a consultative group. Lastly, since information security and standardization are the desired objects of the IoT industry, it was found that both the government and the industrial world should focus on them. This study has significance in that it can provide practical implications for the effective acceptance of IoT services.

공공자산관리를 위한 관리요인 우선 순위 설정 연구 (A Study on Setting Priorities among Management Factors for Public Asset Management)

  • 이한솔;이웅균
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.104-105
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    • 2021
  • This study aims to provide basic data for establishing strategies for asset management in the future through priorities and influence of the asset management items of public facilities in Korea. To this end, 4 upper items and 20 lower items in priority were selected based on existing literature. The analytic hierarchy process was used to determine the importance of each of the selected items, and the interpretive structural modeling (ISM) technique was used to examine the relationships among the 20 lower items. On this basis, directions for the efficient asset management of public facilities were suggested.

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Factors Influencing Implementation of OHSAS 18001 in Indian Construction Organizations: Interpretive Structural Modeling Approach

  • Rajaprasad, Sunku Venkata Siva;Chalapathi, Pasupulati Venkata
    • Safety and Health at Work
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    • 제6권3호
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    • pp.200-205
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    • 2015
  • Background: Construction activity has made considerable breakthroughs in the past two decades on the back of increases in development activities, government policies, and public demand. At the same time, occupational health and safety issues have become a major concern to construction organizations. The unsatisfactory safety performance of the construction industry has always been highlighted since the safety management system is neglected area and not implemented systematically in Indian construction organizations. Due to a lack of enforcement of the applicable legislation, most of the construction organizations are forced to opt for the implementation of Occupational Health Safety Assessment Series (OHSAS) 18001 to improve safety performance. Methods: In order to better understand factors influencing the implementation of OHSAS 18001, an interpretive structural modeling approach has been applied and the factors have been classified using matrice d'impacts croises-multiplication $appliqu{\acute{e}}$ a un classement (MICMAC) analysis. The study proposes the underlying theoretical framework to identify factors and to help management of Indian construction organizations to understand the interaction among factors influencing in implementation of OHSAS 18001. Results: Safety culture, continual improvement, morale of employees, and safety training have been identified as dependent variables. Safety performance, sustainable construction, and conducive working environment have been identified as linkage variables. Management commitment and safety policy have been identified as the driver variables. Conclusion: Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health.

ISM에 의한 어린이 보호구역의 잠재위험 요인 구조화 모형 구축 (A Study on Development of Interpretive Structure Modeling(ISM) for Potential Risk Factors in School Zone)

  • 박유경;정현정;김영지;금기정
    • 한국도로학회논문집
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    • 제14권6호
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    • pp.93-101
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    • 2012
  • PURPOSES : This study is to develop ISM for potential risk factor in School Zone. METHODS : Based on the literature review, the Analytic Hierarchy Process (AHP) has been used most widely. However, it is difficult to apply in practice because the AHP results have the characteristics of the independence between each element and the interlayer can not explain the interrelationship. The Network Analysis Process (ANP) is possible to analyze the relationship between the elements and the network through the feedback. But, the reliability of the analysis fall because of complicated pair of comparison, also it is difficult to solve the super matrix. In this study, the complicated relationship between each element is inquired through the Interpretive Structural Modeling (ISM). RESULTS : The methodology of ISM is developed to remove the children's potential risk factors in school zone. CONCLUSIONS : It is possible to remove the children's potential risk factors from low level to high level step by step and improve safety. Through this, risk factors can be removed from the low-level, and upper-level will automatically improve.

ISM과 FSM을 이용한 이론적 구조모형화에 대한 연구 (A Study on the Theoretical Structure Modeling using ISM & FSM)

  • 조성훈;정민용
    • 산업경영시스템학회지
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    • 제21권47호
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    • pp.219-232
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    • 1998
  • A lot of difficulties exist in analyzing the structure of a system owing to the complex and organic relations in the systems we face in reality. Focuses have been put on the research of optimal solution in a defined structure, however, on the assumption that the structure of the system has been already defined. With the grasping of the structure as the most prior condition, ISM(Interpretive Structural Modeling) and FSM(Fuzzy Structural Modeling) are suggested as solutions in this paper. ISM uses the systematic application of some elementary notions of graph theory and boolean algebra, FSM uses Fuzzy conception for representing relationship between elements. In FSM, the entries in the relation matrix are taken to value on the interval [0,1] by virtue of a fuzzy binary relation. Numeric examples are used as the actual application as follows.

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AHP-ISM기반의 공공자산관리 관리체계 영향요인 도출 연구 (A Study on the Influencing Factors for the Establishment of a Public Asset Management System Based on AHP-ISM)

  • 이한솔;이웅균
    • 한국건축시공학회지
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    • 제22권4호
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    • pp.403-414
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    • 2022
  • 공공 시설물에 대한 자산관리는 그 중요성이 날로 증가하고 있으며 이를 위한 연구들이 다수 수행되고 있다. 본 연구는 공공자산관리의 실질적인 운영을 위한 전략 제시를 위한 기초연구로서 공공자산관리를 위한 비용 항목들간의 중요도 및 영향 관계를 비교 분석하여 비용적 관점에서 효율적인 관리 및 활용방안을 제안하고자 한다. 본 연구에서는 기존 연구를 바탕으로 비용 요인을 도출하여 상위 항목 4가지 하위 항목 19가지를 선정하였다. 이를 바탕으로 설문조사를 실시하였으며, 설문조사의 결과는 계층분석적의사결정 방법(AHP) 및 ISM(Interpretive Structural Modeling) 방법을 활용하여 분석하였다. AHP 분석법은 항목간의 우선 순위를 도출에 활용되었고, ISM은 주요 그룹 및 상호 영향도 확인에 이용되었다. 그 결과 우선 순위와 중요도 모두 높게 나타난 항목인 사용자비용, 해체·폐기비용, 대체 비용, 유지관리·보수비용 등과 같은 항목들은 공공시설물 공공자산관리에 있어서 우선적으로 고려해야할 항목으로 판단되며, 초기공사비용, 계획설계비용, 공사비용, 감리비용들은 다른 항목들에게 받는 영향은 적으나 다른 항목들에 미치는 영향은 크게 나타나므로 위 항목들 또한 공공시설물 공공자산관리 활용방안에 있어서 다른 항목들에 미치는 영향을 최소화하는 것이 필요함을 알 수 있었다. 본 연구에서 제시된 결과 및 분석 방법은 향후 공공시설물 자산관리를 위한 전략 제시에 활용될 것으로 기대된다.