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.

决策支持系统 （DSS） 领域专注于开发各种系统以辅助决策，正受到越来越多的关注。该领域的扩散需要对 DSS 研究进行更全面的分类，以实现有助于共同理解的统一表示。因此，我们求助于重新审视 DSS 研究，以吸收、揭示和重组 DSS 奖学金。我们对摘要进行自动内容分析，以调查 Scopus 数据库中和过去五十年中发表的 DSS 文章的结构共性。此外，我们通过探索和分类新兴的子结构来补充我们的发现。为此，我们采用了场景分类框架，该框架来自信息系统、人机交互和需求工程领域，并在 DSS 的上下文中对其进行调整。我们的总体结果导致了一个将 DSS 研究分类为四个级别的框架：决策环境、DS（决策支持）工件、DS 应用程序和上下文。我们通过对入围的出版物样本进行系统分类来证明其实用性，从而展示该框架的适用性。