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引用次数: 0
摘要
关于业务分析系统如何应用于业务流程以及如何创造价值,业务分析(BA)的研究做出了各种不一致的假设。与此同时,机器学习(ML)正在改变BA系统创造价值的方式,但ML和BA的研究流尚未在过程级价值创造方面达成共识。本文运用信息价值链(Information Value Chain, IVC)理论,对176篇顶级期刊论文进行综合分析,提出了基于BA系统的过程级价值创造模型。我们将IVC与六个不同的价值创造路径进行了背景化和扩展,解释了基于ml的BA系统的特征如何改变价值创造路径,并提出了研究议程。
Process-level value creation from business analytics: A theoretical literature review of value creation paths and changes induced by machine learning
Research on business analytics (BA) has made various incongruent assumptions about how BA systems are applied in business processes and how they create value. Meanwhile, machine learning (ML) is changing how BA systems create value, but research streams on ML and BA have yet to come to a shared view on process-level value creation. In this theoretical literature review, we draw on the Information Value Chain (IVC) to synthesize 176 articles from top journals and present a model of process-level value creation from BA systems. We contextualize and extend the IVC with six distinct value creation paths, explain how the characteristics of ML-based BA systems change value creation paths, and propose a research agenda.
期刊介绍:
The Journal of Strategic Information Systems focuses on the strategic management, business and organizational issues associated with the introduction and utilization of information systems, and considers these issues in a global context. The emphasis is on the incorporation of IT into organizations'' strategic thinking, strategy alignment, organizational arrangements and management of change issues.