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Process-level value creation from business analytics: A theoretical literature review of value creation paths and changes induced by machine learning

delete2025-06-01
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P
Pascal C. Kunz
K
Kai Spohrer *
A
Armin Heinzl
DOI:10.1016/j.jsis.2025.101902delete
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Abstract

Abstract

En 中文
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.
Keywords:
Business Analytics
Machine Learning
IS Value Creation
Process Level
Information Value Chain
Theoretical Literature Review
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Journal

Journal of Strategic Information Systems cover
Journal of Strategic Information Systems
IF:
11.8
Papers:
678
Citations:
4.5K

Organization

U
Univ Mannheim
Scholars:
60
Papers: 45
Citations: 7
F
Frankfurt School of Finance and Management
Scholars:
31
Papers: 30
Citations: 1.0K
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