Decision Analytics and Service Science

The Decision Analytics and Service Science Track got started more than 20 years ago at the HICSS-31 in 1998 under the name Modelling Technologies and Intelligent Systems that Dan Dolk of the Naval Postgraduate School introduced. The name and the focus shifted at HICSS-33 to Decision Technol-ogy in Management with a focus on the use of information systems in support of managerial planning, problem solving and decision making. This theme continued for 12 years (HICSS-44).

The track reacted to the rise of mobile technology early on and started a mini-track on mobile commerce and mobile ser-vices at HICSS-35 in 2002. Mobile technologies then quickly got adopted by most of the other tracks and a critical mass of papers on mobile services concentrated to one track could be realized only at HICSS-45. The track changed name to Deci-sion Technology, Mobile Technologies and Service Science at HICSS-45 in 2012 when Dan Dolk asked Prof Christer Carls-son of the Abo Akademi University in Finland to join him as track co-chair.

As Dan Dolk stepped down after running the track for 14 years, Prof Haluk Demirkan, University of Washington Ta-coma, was elected to join Christer Carlsson as track co-chair. Track started to incorporate more service science and the new analytics and data science movement which are major shifts in producing critical data, information and knowledge for mana-gerial planning, problem solving and decision making. In 2024, Professor Matti Rossi from School of Business, Aalto University joined track co-chair role to continue growing it in context of smart technologies and digital transformation.

The DA/SS Track works out emerging managerial and or-ganizational decision-making strategies, processes, tools, technologies, services and solutions in the Digital Age. This is done in 2 interrelated themes. DA/SS focuses on decision making processes, analytics tools and smart technologies which created a research collaboration environment about big data and analytics, machine learning, business and service an-alytics, gamification, virtual and augmented reality, visual de-cision analytics, soft computing, service science, service ana-lytics, logistics and supply chain management, AI and others. Challenges and issues of service industries, service science, digitalization of services, smart service systems, smart cities and communities, smart mobility services, social robots, etc. form the Service Science.

In the 2025 HICSS, the DA/SS Track has 34 mini-tracks:

1. Age and Generational Aspects in Technology Acceptance and Use
2. AI Model Evaluation
3. AI Safety, Cybersecurity, and Inclusion through Advanced Text Analytics
4. Analytics and Intelligent Decision Support for Green IS and Sustainability Applications
5. Artificial Intelligence-powered Devices and Sensors
6. Big Data and Analytcis: The Path to Maturity
7. Cognitive and Neuroscience Research in IS
8. Complex Decision Support on Networks - Augmented and Explainable AI in Supply Chains
9. Cyber Deception and Cyberpsychology for Defense
10. Data Science and Machine Learning to Support Business Decisions
11. Decision Analytics and Artificial Intelligence in Blockchain Autonomous Systems
12. Decision Support for Smart City
13. Decision Systems for Smart Farming
14. Digital Energy Services and Analytics
15. Digital Service Innovation and Design
16. Digital Servitization in Manufacturing Industries: Enablers, Strategies, Business Models, and Implementation
17. Digitization of the Individual – Personal Decision Analytics
18. Driving Innovation Intelligence in Cities: Digital Twins, Generative AI, and Cyber-Physical Systems
19. Explainable Artificial Intelligence (XAI)
20. Gamification
21. Generative AI for Decision Analytics: Exploring Explainbility and Innovation
22. Intelligent Decision Support for Logistics and Supply Chain Management
23. Interactive Visual Analytics for Knowledge Integration and Decision Intelligence
24. Metaverse, Mixed Reality, and Remote Interactions: Socio-Behavioral Services
25. Natural Language Processing and Large Language Models Supporting Data Analytics for System Sciences
26. Practitioner Research Insights: Applications of Science and Technology to Real-World Innovations
27. Qualitative Comparative Analysis in Business and Management Research
28. Service Analytics
29. Service Science
30. Simulation Modeling, Artificial Intelligence and Digital Twins for Decision Making in Production and Logistics
31. Smart and Sustainable Mobility Services and Ecosystems
32. Social Robots - Robotics and Toy Computing
33. Soft Computing: Theory Innovations and Problem-Solving Benefits
34. Technology and AI in Emerging Markets

We wish to thank all the people who have worked effectively and diligently to develop the DA/SS Track. The authors who have contributed new research results, the MT chairs who have spent countless hours to get high quality and impactful re-search papers, and reviewers who provided very helpful feed-back.

Haluk Demirkan
University of Washington - Tacoma
haluk@uw.edu

Matti Rossi
School of Business, Aalto University
matti.rossi@aalto.fi