• Title/Summary/Keyword: decision making framework

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A Representation and Management of Models for WWW-based Decision Support Systems Development (WWW 기반의 의사결정지원시스템 구축을 위한 모형 표현 및 관리)

  • Kwon, O-Byung
    • Asia pacific journal of information systems
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    • v.7 no.2
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    • pp.35-49
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    • 1997
  • The usability of the Internet including WWW (World Wide Web) is dramatically growing in current business environment. These allow decision makers to enhance the productivity of decision making by referring valuable information in the remote sites, This paper presents the possibilities how WWW can be applied to build distributed and collaborative DSS, especially model management subsystem. A framework of Internet-based DSS is delineated, and then an idea of representing and managing models in the Internet-based DSS is suggested.

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Applying Ubiquitous Computing Technology to Proactive and Personalized Decision Support System

  • Kwon, Oh-Byung;Yoo, Ki-Dong;Suh, Eu-Ho
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.281-285
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    • 2004
  • This paper aims to describe how the decision making capability and context-aware computing are jointly used to establish ubiquitous applications. An amended DSS paradigm: CKDDM is proposed in this paper. Under the CKDDM paradigm, a framework of ubiquitous decision support systems (ubiDSS) is addressed with the description of the subsystems within.

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A Dynamic Resource Allocation on Service Quality of Internet Shopping-mall (인터넷 쇼핑몰의 서비스 품질에 대한 동태적 자원배분 의사결정)

  • Kwak, Soo-Il;Choi, Kang-Hwa;Kim, Soo-Wook
    • Journal of Korean Society for Quality Management
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    • v.33 no.4
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    • pp.21-41
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    • 2005
  • This study analyzes the Internet utilization pattern of customer by comprehensively investigating the previous studies on the behavior pattern of customer in terms of Internet business. Based on the analysis, this study develops research framework that supports strategic decision-making for resource allocation in Internet business. Such research framework would be helpful for providing the typology of Internet business model that can be specialized by each industry. As a result of the simulation analysis, it was found that the optimal resource allocation portfolio providing maximum profits to the Internet bookstore involves large-scale investment on delivery service and customer support service which are the key factors for post-purchase customer satisfaction, regardless of the growth pattern or size of Internet bookstore market. Consequently, from the above analysis, the investment ratio of resources for the profit maximization of Internet bookstore was drawn. Conclusively, based on the comprehensive examination of the results, this study provided a framework for dynamic resource allocation decision-making, and proposed a management strategy which allows consumers to shop under more favorable environment, and simultaneously enables the Internet bookstore to accomplish management objectives such as continuous growth and profit maximization.

The Water Resource Management Framework in New Zealand: A Case Study of Moving towards a Less Adversarial Approach

  • Davie, Tim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.82-90
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    • 2010
  • New Zealand appears to be a water rich country; however there are considerable water allocation issues. Mostly these revolve around balancing environmental concerns with economic development. The largest economic sector is agriculture which currently utilizes around 80% of the allocated water and has considerable potential to increase in size. The resource management framework that New Zealand has developed over the past twenty years revolves around local decision-making and sustainable management principles. As the demands for water have grown there has been growing concern that this framework is inadequate to deal with the issues of declining water quantity and quality through agricultural intensification. In Canterbury, the region with the highest water allocation and demand, a new approach is being trialed. The Canterbury Water Management Strategy (CWMS) recognizes the need for: ecological restoration for past damage; infrastructure development for increased irrigation; and the need to link infrastructure with more efficient use of water by both existing and new water users. These three elements are recognized as having equal value. The CWMS builds on the local decision-making concept but is deliberately aimed at consensus building in order to remove expensive and adversarial resource management hearings. It is practical enough to recognize that economic development is needed but that it need not proceed in conflict with the environment, but rather can be a means towards environmental improvement.

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DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique

  • Majumdar, Abhishek;Biswas, Arpita;Baishnab, Krishna Lal;Sood, Sandeep K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3794-3820
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    • 2019
  • In recent years, a cloud environment with the ability to detect illegal behaviours along with a secured data storage capability is much needed. This study presents a cloud storage framework, wherein a 128-bit encryption key has been generated by combining deoxyribonucleic acid (DNA) cryptography and the Hill Cipher algorithm to make the framework unbreakable and ensure a better and secured distributed cloud storage environment. Moreover, the study proposes a DNA-based encryption technique, followed by a 256-bit secure socket layer (SSL) to secure data storage. The 256-bit SSL provides secured connections during data transmission. The data herein are classified based on different qualitative security parameters obtained using a specialized fuzzy-based classification technique. The model also has an additional advantage of being able to decide on selecting suitable storage servers from an existing pool of storage servers. A fuzzy-based technique for order of preference by similarity to ideal solution (TOPSIS) multi-criteria decision-making (MCDM) model has been employed for this, which can decide on the set of suitable storage servers on which the data must be stored and results in a reduction in execution time by keeping up the level of security to an improved grade.

Development of Purchasing Information Process Agent System

  • Kwon, Suhn-Beom;Sukho Ko
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.169-175
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    • 2001
  • It is not easy for business workers to find proper information for his job, because of the following problems:(1) information exist in various information system both internal and external with diverse formats(2) he cannot estimate relevance of all the information and (3) he cannot select proper information among large volume of information. The requirements for the systems are the following things:(1) search of relevant information from various internal and external information systems(2) proving an integrated view of information for workers, and (3) information processing and decision-making are seamlessly integrated fro business workers. We proposed an agent system to fulfill the requirements. We focus on the purchasing job, and developed a prototype system. PIPA(Purchasing Information Process Agent). The PIPA performs not only information processing jobs(information search gathering, display, business form -making)but also decision-making support job (evaluation of supplier candidates, and apply of sourcing policy) for sourcing manager. The framework of the PIPA can be appled to other information processing and desision-making jobs.

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A Study on Decision Making Factors of Cloud Computing Adoption Using BCOR Approach (BCOR 접근법을 이용한 클라우드 컴퓨팅 도입의 의사결정 요인에 관한 연구)

  • Lee, Young-Chan;Hanh, Tang Nguyen
    • Journal of Information Technology Services
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    • v.11 no.1
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    • pp.155-171
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    • 2012
  • With the continuous and outstanding development of information technology(IT), human being is coming to the new computing era which is called cloud computing. This era brings lots of huge benefits also at the same time release the resources of IT infrastructure and data boom for man. In the future no longer, most of IT service providers, enterprises, organizations and systems will adopt this new computing model. There are three main deployment models in cloud computing including public cloud, private cloud and hybrid cloud; each one also has its own cons and pros. While implementing any kind of cloud services, customers have to choose one of three above deployment models. Thus, our paper aims to represent a practical framework to help the adopter select which one will be the best suitable deployment model for their requirements by evaluating each model comprehensively. The framework is built by applying the analytic hierarchy process(AHP), namely benefit-cost-opportunity-risk(BCOR) model as a powerful and effective tool to serve the problem. The gained results hope not only to provide useful information for the readers but also to contribute valuable knowledge to this new area. In addition, it might support the practitioners' effective decision making process in case they meet the same issue and have a positive influence on the increase of right decision for the organization.

The Decision-Making Journey of Malaysian Women with Early Breast Cancer: A Qualitative Study

  • Abdullah, Adina;Abdullah, Khatijah Lim;Yip, Cheng Har;Teo, Soo-Hwang;Taib, Nur Aishah;Ng, Chirk Jenn
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7143-7147
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    • 2013
  • Background: The survival outcomes for women presenting with early breast cancer are influenced by treatment decisions. In Malaysia, survival outcome is generally poor due to late presentation. Of those who present early, many refuse treatment for complementary therapy. Objective: This study aimed to explore the decision making experiences of women with early breast cancer. Materials and Methods: A qualitative study using individual in-depth interviews was conducted to capture the decision making process of women with early breast cancer in Malaysia. We used purposive sampling to recruit women yet to undergo surgical treatment. A total of eight participants consented and were interviewed using a semi-structured interview guide. These women were recruited from a period of one week after they were informed of their diagnoses. A topic guide, based on the Ottawa decision support framework (ODSF), was used to facilitate the interviews, which were audio recorded, transcribed and analysed using a thematic approach. Results: We identified four phases in the decision-making process of women with early breast cancer: discovery (pre-diagnosis); confirmatory ('receiving bad news'); deliberation; and decision (making a decision). These phases ranged from when women first discovered abnormalities in their breasts to them making final surgical treatment decisions. Information was vital in guiding these women. Support from family members, friends, healthcare professionals as well as survivors also has an influencing role. However, the final say on treatment decision was from themselves. Conclusions: The treatment decision for women with early breast cancer in Malaysia is a result of information they gather on their decision making journey. This journey starts with diagnosis. The women's spouses, friends, family members and healthcare professionals play different roles as information providers and supporters at different stages of treatment decisions. However, the final treatment decision is influenced mainly by women's own experiences, knowledge and understanding.

Proposal of an Application Characteristic Model of Information System for Construction Decision-making Support (건설 의사결정지원용 정보시스템 활용특성모델 제안)

  • Lee Jong-Kook
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2004.11a
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    • pp.145-152
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    • 2004
  • Many construction companies have developed many kinds of information system to integrate the information created in the phase of planning, design, procurement, construction, and maintenance of construction project. However, the previous researches for the state of applying information technologies and the efforts of the analysis of the present information system launched in domestic construction industry is very rare. There also has been short of research on the construction decision-making support theory in construction business and industry. Hence this paper would contribute in identifying the state of information technologies and the theory of decision-making support of the information system in general construction company. and suggest the characteristic model on the information system for the construction decision-making support. The model consists of the two dimensions; (1) organizational hierarchy (2) data analyzing technology. This research, especially, can be expected to initiate the discussion on framework for understanding the construction decision-making support system in construction industry. The model is nut a practical methodology, but a window that offers a new perspective un sources of information system in each construction company, and thus can provide a clue of the useful guide to construction information system development.

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A decision support system (DSS) for construction risk efficiency in Taiwan

  • Tsai, Tsung-Chieh;Li, Hsiang-Wen
    • Smart Structures and Systems
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    • v.21 no.2
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    • pp.249-255
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    • 2018
  • Many studies in risk management have been focused on management process, contract relation, and risk analysis in the past decade, but very few studies have addressed project risks from the perspective of risk efficiency. This study started with using Fault Tree Analysis to develop a framework for the decision-making support system of risk management from the perspective of risk efficiency, in order for the support system to find risk strategies of optimal combination for the project manager by the trade-off between project risk and cost of project strategies. Comprehensive and realistic risk strategies must strive for optimal decisions that minimize project risks and risk strategies cost while addressing important data such as risk causes, risk probability, risk impact and risk strategies cost. The risk management in the construction phase of building projects in Taiwan upon important data has been analyzed, that provided the data for support system to include 247 risk causes. Then, 17 risk causes were extracted to demonstrates the decision-making support system of risk management from the perspective of risk efficiency in building project of Taiwan which could reach better combination type of risk strategies for the project manager by the trade-off between risk cost and project risk.