The design and use of laboratory experiments for DSS evaluation

DSS evaluation may be either ex-post or ex-ante. In the former, evaluation focuses on determining the actual result of DSS implementation. In the latter, emphasis is on predicting the likely impact of DSS alternatives on a given task set or on estimating relationships between DSS characteristics and task set(s) performance. If a firm can, ex-ante, effectively estimate or predict the performance of varying DSS on arrays of tasks or task sets, then it can avoid costly DSS selection errors and gain competitive and strategic advantages. We outline a methodoloy for developing such information using the induced-value methodology of experimental economics. An example experiment is detailed and initial results are presented relating to one general DSS hypothesis and one implication derived from a specific theory of DSS portfolio selection.     

多媒体技术在决策支持系统中的应用

本文就多媒体技术的现状及前景、决策支持系统的现状及前景以及多媒体技术在决策支持系统中的应用进行了论述和探讨，文章着重论述了多媒体数据库、超媒体数据库、触摸屏、语音识别等多媒体技术对决策支持系统在数据库、人机交互界面和模型库等方面的支持。     

项目计划生成决策支持系统

项目计划质量的好坏,很大程度上决定着项目的成败,而计划工作涉及很多不确定因素.在分析项目计划中信息流动的基础上,给出了基于网络架构的项目计划生成的决策支持系统的系统体系结构及其实现方法.该系统通过充分发挥决策人员的群体参与,将提高项目计划的可行性和可操作性.     

项目计划生成决策支持系统

项目计划质量的好坏,很大程度上决定着项目的成败,而计划工作涉及很多不确定因素。在分析项目计划中信息流动的基础上,给出了基于网络架构的项目计划生成的决策支持系统的系统体系结构及其实现方法。该系统通过充分发挥决策人员的群体参与,将提高项目计划的可行性和可操作性。     

The impact of DSS on organizational communication

There is some controversy in the MIS literature concerning the potential impact of computer systems on interpersonal communication in organizations. Generally, MIS researchers have found that effective communication between users and designers is an important factor in determining user satisfaction and MIS success.Recently, however, Naylor [8] has argued that decision support systems (DSS) may isolate managers from interaction with others. This is in marked contrast to the contentions of Wagner [16] and Huber [6] that DSS may lead to more effective managerial communication.We would argue that DSS encourage communication for several reasons: adaptive DSS development requires continued manager-analyst interaction; DSS-based decisions often require groups of managers; and there is a greater need for human information processing in a DSS environment.This paper reports the results of a study of the relationships between DSS usage and organizational communications. It was found that users in three different categories (managers, financial or planning analysts (FPAs), and “others”) felt that DSS usage encouraged communication. Also, significant positive relationships were found between increased communication and overall satisfaction with the DSS for all three groups. Finally, for managers and FPAs, significant positive relationships were found between increased communication and satisfaction with the DSS in decision-making activities.     

发电企业竞价辅助决策系统设计探讨

本文通过对发电企业竞价过程和决策支持系统(DSS)进行分析．探讨了基于WebServiee的发电企业竞价辅助决策系统框架。在进行框架设计的过程中引入设计模式，提高了系统的可扩充性，复用性和实用性。     

The Internet and DSS: massive,real-time data availability is changing the DSS landscape

Absract The Internet can serve as a source of massive, micro-level data. We discuss the opportunities and challenges in capturing and utilizing real-time data off the Internet, intranets, or extranets. Emphasis is placed on developing dynamic decision support systems (DSSs) in our new data-enabled environment. Illustrations of real-time data capture and potential DSS use are provided from work on online auctions, e-retailing, piracy, and intellectual property. This article is part of the “Handbook on Decision Support Systems” edited by Frada Burstein and Clyde W. Holsapple (2008) Springer.     

Supporting groups in sorting decisions: Methodology and use of a multi-criteria aggregation/disaggregation DSS

This paper addresses the situation where a group wishes to cooperatively develop a common multicriteria evaluation model to sort actions (projects, candidates) into classes. It is based on an aggregation/disaggregation approach for the ELECTRE TRI method, implemented on the Decision Support System IRIS. We provide a methodology in which the group discusses how to sort some exemplary actions (possibly fictitious ones), instead of discussing what values the model parameters should take. This paper shows how IRIS may be used to help the group to iteratively reach an agreement on how to sort one or a few actions at a time, preserving the consistency of these sorting examples both at the individual level and at the collective level. The computation of information that may guide the discussion among the group members is also suggested. We provide an illustrative example and discuss some paths for future research motivated by this work.     

The role of the champion in DSS implementation

Adoption of a DSS usually involves changes or innovation in an organization's way of doing things. The process of innovation has been the subject of study in other contexts, and research has indicated that the efforts of various champions can be critical to successful innovation. Observations of DSS implementations in several organizations suggest that a system champion can likewise be a key factor in implementation success. Such persons play a variety of roles, including that of reference leader, of missionary or change agent, or of top management surrogate. Implementation strategies can be designed which capitalize on the presence of a champion.     

人工智能在决策支持系统中的应用与研究

本文首先介绍了决策支持系统(DSS)的定义，针对其局限性提出了人工智能(AI)与决策支持系统的结合，然后分述了专家系统(ES)，机器学习(RL)，及智能体(Agent)在决策支持系统中的应用与研究。     

基于数据仓库的烟草决策支持系统研究

针对烟草数据的特点,提出基于数据仓库的烟草闭环决策支持系统的实现方案;阐述了采用基于数据仓库的四层结构的烟草闭环决策支持系统的系统架构和功能。系统以数据仓库为基础,运用联机分析处理、数据挖掘等分析决策手段实现对烟草数据多角度、多层次的查询、分析及决策功能。     

基于Web Service的DSS体系结构研究--DSS中模型服务的实现

本文从DSS开发集成的角度，分析了DSS的不同发展阶段的体系结构，提出了基于Web Service的DSS体系结构。介绍了Web Service的三个参与者和三个基本操作的体系结构，最后详细阐述了DSS中模型服务的实现框架。     

基于智能和数据仓库DSS的综合DSS

阐述了智能决策支持系统和基于数据仓库的决策支持系统的结构,介绍了将两者结合起来构成综合决策支持系统的新思路:以将智能决策支持系统与基于数据仓库技术的决策支持系统这两者不同的辅助决策方式结合起来,从而进一步提高辅助决策的效果,为各级决策者进行科学决策提供更强的辅助决策手段。     

基于智能和数据仓库DSS的综合DSS

阐述了智能决策支持系统和基于数据仓库的决策支持系统的结构,介绍了将两者结合起来构成综合决策支持系统的新思路:以将智能决策支持系统与基于数据仓库技术的决策支持系统这两者不同的辅助决策方式结合起来,从而进一步提高辅助决策的效果,为各级决策者进行科学决策提供更强的辅助决策手段.