Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender
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引用次数: 0
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 address current ERP
systems' challenges and how they may be used for research on the next
generation of business software for tomorrow's enterprises.