Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 27 of CSIMQ

Peter Forbrig,Kurt Sandkuhl

doi:10.7250/csimq.2021-27.00

Abstract

The 27th issue of CSIMQ presents four articles that cover a wide range of research topics. The articles are extended versions of previous publications. The topics of this issue start with the discussion of sound workflow specifications. It suggests control-flow-based methods. The range of topics ends with the discussion of literature results about the relations of Big Data algorithms and Microservices. Additionally, an approach for modeling the prediction of bankruptcy for Latvian companies is discussed. Within the range of topics is also an article about identity management in organizations. It discusses a case study and the Fractal Enterprise Model.

Highlights

The 27th issue of CSIMQ includes four articles that address research topics from the field of managing and modeling complexity in information systems
Information systems (IS) can be considered as complex systems due to the fact that their development and management often requires the application and combination of theories and practices from various fields, such as computer science, management science, organizational sciences, systems engineering, information engineering, information management, social science, and economics sciences. In this context, modeling of business processes, organizational structures, business models including products and services, decision criteria, business rules, or other perspectives relevant for information systems forms an important contribution to managing this complexity
As a field of study, management and modeling of complexity gains importance, which is reflected in scientific workshops dedicated to this topic, as for example the 5th workshop on Managed Complexity that was co-located with the 13th conference on the Practice of Enterprise Modelling (PoEM 2020) in Riga, Latvia, in November 2020

Summary

Introduction

Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 27 of CSIMQ In this context, modeling of business processes, organizational structures, business models including products and services, decision criteria, business rules, or other perspectives relevant for information systems forms an important contribution to managing this complexity. The 27th issue of CSIMQ includes four articles that address research topics from the field of managing and modeling complexity in information systems.

Results

Conclusion