信息系统研究分类--理论框架

IF 6.9 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rahul Kumar, Rahul Thakurta
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引用次数: 0

摘要

决策支持系统(DSS)侧重于开发各种辅助决策的系统,这一领域正受到越来越多的关注。随着该领域的不断扩大,有必要对决策支持系统研究进行更全面的分类,以形成有助于达成共识的统一表述。因此,我们对 DSS 研究进行了重新审视,以吸收、揭示和重构 DSS 学术研究。我们对摘要进行了自动内容分析,以研究 Scopus 数据库中收录的、过去五十年间发表的 DSS 文章在结构上的共性。此外,我们还对新出现的子结构进行了探索和分类,以补充我们的研究结果。为此,我们借鉴了信息系统、人机交互和需求工程领域的情景分类框架,并将其应用到 DSS 中。我们的总体研究成果为 DSS 研究分类提供了一个框架,它包括四个层次:决策环境、DS(决策支持)工件、DS 应用和情境。我们通过对入围的出版物样本进行系统分类,展示了该框架的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Classifying DSS Research – A Theoretical Framework

Classifying DSS Research – A Theoretical Framework

The domain of decision support systems (DSS), focusing on developing various systems to aid decision-making, is receiving increasing attention. The proliferation of the domain necessitates a more comprehensive categorization of DSS research towards a unified representation that can contribute to a shared understanding. We thereby resort to re-examining the DSS research to assimilate, unveil, and re-structure the DSS scholarship. We perform an automated content analysis of the abstracts to investigate the structural commonalities of the DSS articles featuring in the Scopus database and published in the last five decades. Furthermore, we supplement our findings by exploring and classifying the emergent sub-structures. For this, we resort to the scenario classification framework, which draws from information systems, human-computer interaction, and requirements engineering domains, and adapt it in the context of DSS. Our overall results led to a framework for classifying DSS research with four levels: decision environment, DS (decision support) artifact, DS application, and context. We show the framework’s applicability by systematically classifying a sample of publications shortlisted to demonstrate its usefulness.

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来源期刊
Information Systems Frontiers
Information Systems Frontiers 工程技术-计算机:理论方法
CiteScore
13.30
自引率
18.60%
发文量
127
审稿时长
9 months
期刊介绍: The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.
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