This book constitutes the refereed proceedings of the 14th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2023, held in Rostock, Germany, during May 31June 1, 2023.
The 10 full papers and 9 short papers included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: management issues and people; development and requirements; modeling, technology and infrastructure.

Klappentext

(S-)BPM Management Issues & People.- Impact of Subject Orientation for Current Developments of Business Process Management- a Qualitative Assessment.- Boosting the Maturity of Agile Process Teams:.- Exploring Potential Barriers for the Adoption of Cognitive Technologies in Industrial Manufacturing SMEs - Preliminary Results of a Qualitative Study.- Understanding and Harnessing the Potential of Conversational AI for S-BPM.- (S-)BPM Development & Requirements.- An Approach to Create a Common Frame of Reference for Digital Platform Design in SME Value Networks.- The Role of Stories in Software Development and Business-Process Modeling.- Can a 'Metaverse by Design' Benefit from Digital Process Twins?.- Approach of Partial Front-Loading in Engineer to Order.- Addressing the Data Challenge in Manufacturing SMEs: A Comparative Study of Data Analytics Applications with a Simplified Reference Model.- Improving Interoperability in the Exchange of Digital Twin Data within Engineering Processes.- Credit to Machine Learning - Performance of Fraud Detection Models.- (S-)BPM Modeling, Technology & Infrastructure.- Comparing BPMN 2.0 and PASS: A Review and Analysis of Previous Research.- Modelability of Agile Development Projects - An Assessment of the Opportunities and Limitations of BPMN and S-BPM.- Proposal for a Recursive Interpreter Specificationfor PASS in PASS.- Handling Cross-Cutting Concerns in Subject-Oriented Modeling: Exploration of Capabilities and an Aspect-Oriented Enrichment.- Autonomy as Shared Asset of CPS Architectures.- Using OPC UA for Integrating and Tracing Data Flows in the Insurance Industry.- Code generation for cloud-based implementation of public sector processes using a pattern-based approach.- Revisiting the ALPS - an Investigation of Abstract Layered PASS.

Inhalt
**(S-)BPM Management Issues & People** .- Impact of Subject Orientation for Current Developments of Business Process Management- a Qualitative Assessment.- Boosting the Maturity of Agile Process Teams:.- Exploring Potential Barriers for the Adoption of Cognitive Technologies in Industrial Manufacturing SMEs Preliminary Results of a Qualitative Study.- Understanding and Harnessing the Potential of Conversational AI for S-BPM.- (S-)BPM Development & Requirements .- An Approach to Create a Common Frame of Reference for Digital Platform Design in SME Value Networks.- The Role of Stories in Software Development and Business-Process Modeling.- Can a 'Metaverse by Design' Benefit from Digital Process Twins?.- Approach of Partial Front-Loading in Engineer to Order.- Addressing the Data Challenge in Manufacturing SMEs: A Comparative Study of Data Analytics Applications with a Simplified Reference Model.- Improving Interoperability in the Exchange of Digital Twin Data within Engineering Processes.- Credit to Machine Learning - Performance of Fraud Detection Models.- (S-)BPM Modeling, Technology & Infrastructure .- Comparing BPMN 2.0 and PASS: A Review and Analysis of Previous Research.- Modelability of Agile Development Projects An Assessment of the Opportunities and Limitations of BPMN and S-BPM.- Proposal for a Recursive Interpreter Specificationfor PASS in PASS.- Handling Cross-Cutting Concerns in Subject-Oriented Modeling: Exploration of Capabilities and an Aspect-Oriented Enrichment.- Autonomy as Shared Asset of CPS Architectures.- Using OPC UA for Integrating and Tracing Data Flows in the Insurance Industry.- Code generation for cloud-based implementation of public sector processes using a pattern-based approach.- Revisiting the ALPS - an Investigation of Abstract Layered PASS.