From Full-fledged ERP Systems Towards Process-centric Business Process Platforms
Lukas B\"ohme, Tobias Wuttke, Ralf Teusner, Michael Perscheid,, Sebastian Baltes, Christoph Matthies, and Benedict Bender

TL;DR
This paper critiques current ERP systems' limitations for SMEs and startups, proposing a process-centric platform with semantic data and cloud-native features to enhance adaptability and interoperability.
Contribution
It introduces a vision for a new business process platform based on three key enablers to overcome ERP limitations for growing enterprises.
Findings
Identified high entry barriers and costs in current ERP systems.
Proposed a process-centric platform with semantic data and cloud-native features.
Discussed how enablers address ERP challenges and enable future enterprise software.
Abstract
Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBusiness Process Modeling and Analysis · Big Data and Business Intelligence · ERP Systems Implementation and Impact
