官方網站:http://www.journals.elsevier.com/decision-support-systems/
投稿網址:http://ees.elsevier.com/decsup/default.asp?acw=3
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Manuscripts may draw from diverse methods and methodologies, including those from decision theory, economics, econometrics, statistics, computer supported cooperative work, data base management, linguistics, management science, mathematical modeling, operations management, cognitive science, psychology, user interface management, and others. However, a manuscript focused on direct contributions to any of these related areas should be submitted to an outlet appropriate to the specific area.Examples of research topics that would be appropriate for Decision Support Systems include the following:1. DSS Foundations e.g. principles, concepts, and theories of enhanced decision making; formal languages and research methods enabling improvements in decision making. It is important that theory validation be carefully addressed.2. DSS Functionality e.g. methods, tools, and techniques for developing thefunctional aspects of enhanced decision making; solver, model, and/or data management in DSSs; rule formulation and management in DSSs; DSS development and use in computer supported cooperative work, negotiation, research and product.3. DSS Interfaces e.g. methods, tools, and techniques for designing and developing DSS interfaces; development, management, and presentation of knowledge in a DSS; coordination of a DSS's interface with its functionality.4. DSS Implementation - experiences in DSS development and utilization; DSS management and updating; DSS instruction/training. A critical consideration must be how specific experiences provide more general implications.5. DSS Evaluation and Impact e.g. evaluation metrics and processes; DSS impact on decision makers, organizational processes and performance.
在決策支持系統中發表的文章的共同主線是它們與支持增強決策的理論和技術問題的相關性。所涉及的領域可能包括決策支持系統(DSSs)的基礎、功能、接口、實現、影響和評估。手稿可能來自不同的方法和方法,包括決策理論、經濟學、計量經濟學、統計學、計算機支持的合作工作、數據庫管理、語言學、管理學、數學建模、運營管理、認知科學、心理學、用戶界面管理等。但是,應將一份側重于對這些有關領域的任何直接貢獻的稿件提交給適合該特定領域的機構。適合于決策支援系統的研究課題包括:1. 決策支持系統的基礎,例如增強決策的原則、概念和理論;支持改進決策的正式語言和研究方法。認真對待理論驗證是很重要的。2. 決策支持系統的功能,例如開發增強決策功能方面的方法、工具和技術;DSSs中的求解器、模型和/或數據管理;DSSs規則的制定與管理DSS的開發和使用,在計算機支持的合作工作,談判,研究和產品。3.DSS接口,例如設計和開發DSS接口的方法、工具和技術;在決策支持系統中開發、管理和展示知識;DSS接口與其功能的協調。4. DSS實施- DSS開發和利用的經驗;DSS管理和更新;DSS指導/培訓。關鍵的考慮必須是具體的經驗如何提供更廣泛的含義。5. DSS評估和影響,例如評估指標和過程;決策支持系統對決策者、組織過程和績效的影響。
大類學科 | 分區 | 小類學科 | 分區 | Top期刊 | 綜述期刊 |
計算機科學 | 2區 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機:人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 計算機:信息系統 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 運籌學與管理科學 | 2區 2區 2區 | 否 | 否 |
JCR分區等級 | JCR所屬學科 | 分區 | 影響因子 |
Q1 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q1 | 6.969 |
COMPUTER SCIENCE, INFORMATION SYSTEMS | Q1 | ||
OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Q1 |
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