One of the results of the evolution of business process management (BPM) is the development of information technology (IT), methodologies and software tools to manage all types of processes – from traditional, structured processes to unstructured processes, for which it is not possible to define a detailed flow as a sequence of tasks to be performed before implementation. The purpose of the article is to present the evolution of intelligent BPM systems (iBPMS) and dynamic case management/adaptive case management systems (DCMS/ACMS) and show that they converge into one class of systems, additionally absorbing new emerging technologies such as process mining, robotic process automation (RPA), or machine learning/artificial intelligence (ML/AI). The content of research reports on iBPMS and DCMS systems by Gartner and Forrester consulting companies from the last 10 years was analysed. The nature of this study is descriptive and based solely on information from secondary data sources. It is an argumentative paper, and the study serves as the arguments that relate to the main research questions. The research results reveal that under business pressure, the evolution of both classes of systems (iBPMS and DCMS/ACMS) tends to cover the functionality of the same area of requirements by enabling the support of processes of different nature. This de facto means the creation of one class of systems, although for marketing reasons, some vendors will still offer separate products for some time to come. The article shows that the main driver of unified software system development is not the new possibilities offered by IT, but the requirements imposed on BPM by the increasingly stronger impact of knowledge management (KM) with regard to the way business processes are executed. Hence the anticipation of the further evolution of methodologies and BPM supporting systems towards integration with KM and elements of knowledge management systems (KMS). This article presents an original view on the features and development trends of software systems supporting BPM as a consequence of knowledge economy (KE) requirements in accordance with the concept of dynamic BPM. PDF  XML

中文翻译：

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业务流程管理系统：演变和发展趋势

业务流程管理（BPM）演进的结果之一是信息技术（IT），方法论和软件工具的发展，以管理所有类型的流程-从传统的结构化流程到非结构化流程，这是不可能的将详细流程定义为在实施之前要执行的一系列任务。本文的目的是介绍智能BPM系统（iBPMS）和动态案例管理/自适应案例管理系统（DCMS / ACMS）的演进，并表明它们融合为一类系统，另外还吸收了诸如流程之类的新兴技术采矿，机器人过程自动化（RPA）或机器学习/人工智能（ML / AI）。分析了Gartner和Forrester咨询公司近十年来有关iBPMS和DCMS系统的研究报告的内容。这项研究的性质是描述性的，仅基于来自辅助数据源的信息。这是一篇有争议的论文，该研究作为与主要研究问题相关的论点。研究结果表明，在业务压力下，两类系统（iBPMS和DCMS / ACMS）的发展趋向于通过支持不同性质的流程来覆盖相同需求领域的功能。这个 研究结果表明，在业务压力下，两类系统（iBPMS和DCMS / ACMS）的发展趋向于通过支持不同性质的流程来覆盖相同需求领域的功能。这个 研究结果表明，在业务压力下，两类系统（iBPMS和DCMS / ACMS）的发展趋向于通过支持不同性质的流程来覆盖相同需求领域的功能。这个实际上是指创建一类系统，尽管出于营销原因，一些供应商仍会在未来一段时间内提供单独的产品。该文章表明，统一软件系统开发的主要驱动力不是IT提供的新可能性，而是知识管理（KM）对业务流程执行方式的日益强大的影响对BPM提出的要求。因此，人们期待着方法论和BPM支持系统向与KM和知识管理系统（KMS）集成的进一步发展。本文根据动态BPM的概念，介绍了由于知识经济（KE）要求而支持BPM的软件系统的功能和发展趋势的原始观点。PDF XML