Enterprise Information Systems 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24–26, 2023, Revised Selected Papers, Part II

The two-volume set LNBIP 518 and 519 constitutes the refereed post-conference proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, which was held in Prague, Czech Republic, during April 2023. 

The 30 full papers included in these proceedings were carefully reviewed and selected from a total of 213 submissions. They are organized in topical sections as follows: 

Part One : Databases and Information Systems Integration; Artificial Intelligence and Decision Support Systems; and Information Systems Analysis and Specification.

Part Two : Software Agents and Internet Computing; Human-Computer Interaction; and Enterprise Architecture.

.- Software Agents and Internet Computing.
.- Enhancing Calibration and Reducing Popularity Bias in Recommender Systems.
.- Mobile Gaming Supported by the Gaming on the Edge Architecture.
.- Ontology Engineering of an IoT System for Monitoring Hypertension.
.- Human Computer Interaction.
.- Comparative Evaluation of Non Immersive and Immersive Approaches for Upper Limb Rehabilitation A Performance and   Usability Study.
.- Supporting small businesses and local economies through Virtual Reality shopping and Artificial Intelligence a position paper.
.- Enterprise Architecture.
.- Unpacking the Digital Transformation in an Incumbent Context The Role of Digital Skills.
.- Verification of Correctness and Data Flow Properties for Workflow Processes in Maude.
.- Blockchain Evolution and Its Impact on Business Models A Comprehensive Review.
.- On the Transition from Traditional Retail to Cloud Supported E Commerce A Design Science Project.
.- Challenges as Regards Aligning IT and Business with Agility When Applying the BizDevOps Approach.
.- Tackling Alignment Challenges A Light Weight Method to Plan Business and IT Co Evolution.
.- Defining and Evaluating Prudence and Recklessness of Enterprise Architecture Debt.
.- Advancing Toward a Reference Ontology for Enterprise Architecture Mining from APIs.