In order to better facilitate the need for continuous business process improvement, the application of DevOps principles has been proposed. In particular, the AB-BPM methodology applies AB testing and reinforcement learning to increase the speed and quality of improvement efforts. In this paper, we provide an industry perspective on this approach, assessing requirements, risks, opportunities, and more aspects of the AB-BPM methodology and supporting tools. Our qualitative analysis combines grounded theory with a Delphi study, including semi-structured interviews and multiple follow-up surveys with a panel of ten business process management experts. The main findings indicate a need for human control during reinforcement learning-driven experiments, the importance of aligning the methodology culturally and organizationally with the respective setting, and the necessity of an integrated process execution platform.
翻译:为了更好地促进持续的业务流程改进,提出了应用 DevOps 原则的方法。特别是,AB-BPM 方法应用 AB 测试和强化学习来提高改进工作的速度和质量。在本文中,我们从行业的角度评估了这种方法,评估了 AB-BPM 方法和支持工具的要求、风险、机会等方面。我们的定性分析将基于理论和 Delphi 研究相结合,包括对十名业务流程管理专家进行的半结构化访谈和多次后续调查。主要发现包括在强化学习驱动实验过程中需要人类控制,将方法对组织文化和组织结构进行有效的对齐是重要的,以及需要一个集成的流程执行平台。