Overview

The two-volume main proceedings set LNCS 16605 and 16606 constitutes the refereed main proceedings of the 21st International Conference on Design Science Research in Information Systems and Technology, DESRIST 2026, which was held in Münster, Germany, during June 8–10, 2026. Given the large number of high-quality contributions, the 2026 proceedings are published in three volumes: LNCS 16605 and 16606 as main proceedings include all accepted full papers, while LNCS 16607 contains all accepted of Prototypes and Research-in-Progress Proceeding papers. DESRIST 2026 received a total of 231 submissions across all tracks and formats. The 48 full papers included in these main proceedings were carefully reviewed and selected from 108 full research paper submissions. The papers presented in LNCS 16605 and 16606 as main proceedings are organized in the following topical sections: Part I : Design for Better Futures: Beyond the Science of the Artificial (Theme Track); “From Insight to Impact” (General Track); The Future of Financial Services; Future of Data-Driven and AI-Enabled Design; Future of Healthcare and Wellbeing. Part II : Future of Design and Entrepreneurship; Future of Responsible and Sustainable Design; Future of Design Science Education; Future of Design Science Methodology; Future of Ecosystems for Design Science Research.

Full Product Details

Author:   Jan vom Brocke ,  Leona Chandra Kruse ,  Alan Hevner ,  Michael Rosemann
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032283153

ISBN 10:   3032283159
Pages:   426
Publication Date:   02 June 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- Design for Better Futures: Beyond the Science of the Artificial. .- What is a Problem? Criteria and Guidelines for Crafting Research Problems in Design Science. .- Design Beyond the Problem Space: Anticipatory Design Science. .- Making the Implicit Explicit: A Human-in-the-Loop AI Pipeline for Excavating and Making Use of Latent Design Knowledge. .- From Insight to Impact. .- Evidence-Based Design of a Knowledge Chatbot: From Interaction Mechanisms to De-sign Principles. .- Supporting Information Seeking in Software Development: A Design Theory for Local Retrieval-Augmented Generation Across Distributed Knowledge Sources. .- Reputation as a Sociotechnical Design Problem: A Social Systems Theory Lens for Business Reputation Systems. .- Designing Assistive Technologies for Blind and Visually Impaired: Problem Under-standing and Design Objectives. .- “Do AI Yourself”: Designing a Toolbox to Empower Small- and Medium-Sized Enter-prises to Embrace AI-as-a-Service. .- Multimodal Event Log Construction for Process Mining: Instantiating a Reference Architecture. .- The Future of Financial Services. .- Designing Hyper-Personalized Financial Co-Pilots: An Artifact for Building Trust through Conversational Advice. .- Contextual Orchestration and Reward Shaping Engine (CORSE): Robust Decision-Making in Financial Advising. .- Future of Data-Driven and AI-Enabled Design. .- NeuroAdaptX: Designing Neuro-Adaptive Explanations for Cognitive Accessibility in Explainable AI Interfaces. .- Towards a Design Theory of Discourse Strategies for Conversational Agents. .- Navigating the XAI Forest: Designing a Tree-Based Decision Support Tool for Con-text-Aware Method Recommendation. .- A Design Taxonomy for GUI-based Test Automation. .- Design Principles for Designing and Governing Hyperautomation Implementation. .- From Human-in-the-Loop to Human-on-the-Loop: VALID Framework for Resilient Trust in Autonomous AI Agent Contract Execution. .- The Medium Is the Prompt: Prompts as Design Science Artifacts. .- Future of Healthcare and Wellbeing. .- Healthcare Ecosystem Orchestration: An Action Design Research Study for Cross-Level Patient Navigation. .- Designing a Deployable ML Development Framework that Operationalizes Trustwor-thy Predictive Applications in the Medical Field. .- No Labels, No Problem? Designing an Explainable Unsupervised Anomaly Detection System for Ambient Assisted Living. .- Design Knowledge for Ethical Use of AI in Emergency Medical Dispatch Systems. .- When Shortest Isn’t Safest: A Design Science Approach to Senior-Friendly Pedestrian Routing.

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