Work

Business process management in the age of AI – three essential drifts

Year: 2024

Type: article

Abstract: This special issue demonstrates many avenues of process research to further develop. Specifically, we show some selected drifts that will become prevalent for the next generation of process research and BPM as a field. Next, we turn to the limits of the first generation Business Process Management.

Source: Information Systems and e-Business Management

DOI: 10.1007/s10257-024-00689-9

Authors: Michael Rosemann, Jan vom Brocke, Amy Van Looy, Flavia Santoro

Institutions: Queensland University of Technology, European Research Center for Information Systems, University of Münster, Ghent University

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,990

Funder: Westfälische Wilhelms-Universität Münster