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1.
建立企业兼并决策支持系统的设想   总被引:2,自引:0,他引:2  
本文对我国建立企业兼并决策支持系统的必要性、企业兼并决策支持系统的理论模型以及企业兼并决策支持系统的设计等问题进行了探讨,从理论上为企业兼并决策支持系统的建立提供了基本框架,有利于提高企业兼并行为的科学性。  相似文献   

2.
几种新型决策支持系统的比较研究   总被引:3,自引:0,他引:3  
陈氢 《情报科学》2005,23(1):102-105,110
随着计算机和通信技术的飞速发展,新型的决策支持系统层出不穷。本文首次简要介绍了群体决策支持系统,分布式决策支持系统、智能决策支持系统、3I决策支持系统等几种新型决策支持系统,然后着重从设计思想、系统目标、体系结构、关键技术、决策能力等几方面对它.们进行了比较研究,最后分析了它们之间的联系。  相似文献   

3.
文章探讨了智能决策支持系统开发的关键技术,构造了一个基于JDBC的智能决策支持系统,介绍了智能决策支持系统在证券行业的应用情况。  相似文献   

4.
决策支持系统是运营检测中心建设中重要的组成部分,对于我国电网企业管理工作的创新与发展有着重要的影响。因此,我国电力行业对于决策支持系统建设越来越重视,加大了对决策支持系统的投入成本,从而促进我国电网运营检测中心的快速发展。下面,针对运营监测中心决策支持系统的建设进行研究分析,结合目前我国运营监测中心决策支持系统现状作出叙述,得出相关结论,以供参考。  相似文献   

5.
结合大数据环境的基本特点,对大数据环境下的电子数据取证平台从云平台架构、网络化分布式系统、专家决策支持系统、数据认证系统等关键性问题进行了思考,并对电子数据取证发展做了展望。  相似文献   

6.
《科技风》2015,(24)
本文阐述了决策支持系统的作用及建设意义,分析了南京劳动保障决策支持系统建设的必要性及劳动保障业务在辅助决策方面的支撑作用,论述了在劳动保障决策支持系统系统建设目标设定及建设构想方面的探索。  相似文献   

7.
数据仓库为决策支持系统提供数据源和结构化的数据环境,知识仓库为决策支持系统提供了一个知识平台,将数据仓库和知识仓库结合起来构建一个基于数据仓库和知识仓库的决策支持系统为决策者提供决策支持信息和知识,从而大大提高决策支持的质量。  相似文献   

8.
韩仁东  张咏梅 《情报杂志》2007,26(11):59-61
构造了基于数据仓库的市场信息系统,包括企业内部报告信息子系统、市场情报系统、专题市场调查信息子系统、数据仓库子系统和决策支持系统。对信息的搜集方式、ETL工具、数据仓库数据模型设计,OLAP工具和决策支持的实现方式做了探索。  相似文献   

9.
从决策支持系统的发展出发,分析了各阶段中商业企业对它的使用,并提出了未来决策支持系统发展方向。  相似文献   

10.
张剑 《情报探索》2012,(6):9-12
首先分析决策支持系统在提供泛在的、个性化的、主动的决策服务方面存在的问题与遇到的挑战,阐述了决策支持系统中融入情境感知的必要性,接着阐述情境感知计算如何通过先进的人机交互、情境感知和情境挖掘技术集成到决策支持系统中,并提出情境感知智能决策支持系统的框架,最后以2个典型的应用实例来探讨情境感知计算的作用。  相似文献   

11.
目的论     
本文从人的目的与主观意志两概念出发,引伸出社会系统这一“抽象人”的整体目的与主观意志的概念,分析了社会系统多重目的矛盾性及在社会行为中的作用.将社会系统实践所发生的主观活动全过程称为管理,将形成主现意志的过程称为决策,将领导者制订决策并组织社会系统实现目标的主观行为过程叫领导.本文同时给出了管理系统、决策系统和领导系统的概念,最后认定,目的论是管理科学的理论前提.  相似文献   

12.
This study is based on an actual simulation application project carried out for a parcel transportation company. In its current system, the company has a wide network of branches throughout the country. Although, it is good to have a large network in terms of accessibility and increasing the business volume, performing the same operations in almost every branch is costly ineffective. Consequently, the company managers considered merging several branches in the same neighborhood and carrying out most of the tasks in these central branches. As they consulted us to see if this idea is feasible or not, we decided to use simulation modeling. After carefully investigating the details of the system we developed a comprehensive model of this dynamic and complicated system and looked at the feasibility and also the limitations of their approach. After getting the results, we noticed that what they planned would not work out and developed another central branch design that could work out. Using design of experiments we obtained the behavior of the suggested system under different business scenarios. In this study, we describe the details of this interesting application of simulation modeling.  相似文献   

13.
Recommender systems’ (RSs) research has mostly focused on algorithms aimed at improving platform owners’ revenues and user’s satisfaction. However, RSs have additional effects, which are related to their impact on users’ choices. In order to avoid an undesired system behaviour and anticipate the effects of an RS, the literature suggests employing simulations.In this article we present a novel, well grounded and flexible simulation framework. We adopt a stochastic user’s choice model and simulate users’ repeated choices for items in the presence of alternative RSs. Properties of the simulated choices, such as their diversity and their quality, are analysed. We state four research questions, also motivated by identified research gaps, which are addressed by conducting an experimental study where three different data sets and five alternative RSs are used. We identify some important effects of RSs. We find that non-personalised RSs result in choices for items that have a larger predicted rating compared to personalised RSs. Moreover, when a user’s awareness set, which is the set containing the items that she can choose from, increases, then choices are more diverse, but the average quality (rating) of the choices decreases. Additionally, in order to achieve a higher choice diversity, increasing the awareness of the users is shown to be a more effective remedy than increasing the number of recommendations offered to the users.  相似文献   

14.
During the coronavirus pandemic, policy makers need to interpret available public health data to make decisions affecting public health. However, the United States’ coronavirus response faced data gaps, inadequate and inconsistent definitions of data across different governmental jurisdictions, ambiguous timing in reporting, problems in accessing data, and changing interpretations from scientific institutions. These present numerous problems for the decision makers relying on this information. This paper documents some of the data pitfalls in coronavirus public health data reporting, as identified by the authors in the course of supporting data management for New England’s coronavirus response. We provide recommendations for individuals to collect data more effectively during emergency situations such as a COVID-19 surge, as well as recommendations for institutions to provide more meaningful data for various users to access. Through this, we hope to motivate action to avoid data pitfalls during public health responses in the future.  相似文献   

15.
Since accurate decisions are required for effective management, much research has focused on information systems that support decision making. Recently, this research has engendered frameworks, such as the management support system (MSS), that are designed to provide comprehensive and integrated support for the decision making process. Few, if any, studies have empirically measured the effects of these frameworks on decision making. This article offers empirical evidence on MSS effectiveness. It overviews the decision making process, presents an MSS for supporting the process, and assesses the influences of the MSS on the process and outcomes of health care decision making. The paper also examines the implications of the analyses for information systems research and health care practice.  相似文献   

16.
创新决策过程的有效信息获取方式   总被引:4,自引:0,他引:4  
杨永芳 《情报科学》2002,20(6):607-609
本文主要探讨了现代信息环境下,社会政治、经济和文化的发展需要有科学的创新决策,而在创新决策过程中,面对浩如烟海的信息,应采取积极有效的措施,通过不同的手段、方法、技术来获取对本社会发展起决定作用的有效信息。  相似文献   

17.
We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of international negotiations, through an application to the case of the UK-EU Brexit negotiations and the use of Twitter user sentiment. We show that SA of tweets has potential as a real-time barometer of public sentiment towards negotiating outcomes to inform government decision-making. Despite the increasing need for information on collective preferences regarding possible negotiating outcomes, negotiators have been slow to capitalise on BDA. Through SA on a corpus of 13,018,367 tweets on defined Brexit hashtags, we illustrate how SA can provide a platform for decision-makers engaged in international negotiations to grasp collective preferences. We show that BDA and SA can enhance decision-making and strategy in public policy and negotiation contexts of the magnitude of Brexit. Our findings indicate that the preferred or least preferred Brexit outcomes could have been inferred by the emotions expressed by Twitter users. We argue that BDA can be a mechanism to map the different options available to decision-makers and bring insights to and inform their decision-making. Our work, thereby, proposes SA as part of the international negotiation toolbox to remedy for the existing informational gap between decision makers and citizens’ preferred outcomes.  相似文献   

18.
Universities and companies have decision-making processes that allow to achieve institutional objectives. Currently, data analysis has an important role in generating knowledge, obtaining important patterns and predictions for formulating strategies. This article presents the design of a business intelligence governance framework for the Universidad de la Costa, easily replicable in other institutions. For this purpose, a diagnosis was made to identify the level of maturity in analytics. From this baseline, a model was designed to strengthen organizational culture, infrastructure, data management, data analysis and governance. The proposal contemplates the definition of a governance framework, guiding principles, strategies, policies, processes, decision-making body and roles. Therefore, the framework is designed to implement effective controls that ensure the success of business intelligence projects, achieving an alignment of the objectives of the development plan with the analytical vision of the institution.  相似文献   

19.
Evaluation research on information retrieval (IR) systems has thus far been narrowly focused and disjointed. This research attempts to narrow the gap by providing a comprehensive and integrated multiple criteria decision-theoretic approach for the evaluation of IR systems. The approach, which is based on the Analytic Hierarchy Process (AHP), is illustrated in the context of a domain-specific IR system. The novelty of this approach lies in the focus on the user aspect and the application of decision-making theories in the IR field.  相似文献   

20.
We advance the attention-based view by presenting empirical evidence that the attention of headquarters and subsidiary managers in a multi-business organization is, at times, out of sync. Based on empirical material that allows us to differentiate between what is attended to and what is ignored by management, we analyze the focus of managerial attention, environmental and subsidiary stimuli, and actions taken in the decision-making process over 15 years, during a period of strategic transformation. We suggest that attentional mismatches occur not only between strategic issues but also between what are considered relevant responses or actions to be taken at any particular time. We analyze the origins of the attentional mismatches and explore ways to avoid such nonalignment in strategic decision making.  相似文献   

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