Decision Analytics and Service Science

Permanent URI for this communityhttps://hdl.handle.net/10125/112414

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 Technology 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 Decision 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 managerial 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 organizational 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 analytics, 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 2026 HICSS, the DA/SS Track has 29 minitracks:

  1. Adaptive AI and Decision Intelligence for Sustainable Systems and Green IS
  2. Advancing the Twin Transition: Digital Technologies in Sustainable Service Ecosystems and the Circular Economy
  3. Age and Generational Aspects in Technology Acceptance and Use
  4. AI Safety, Cybersecurity, and Inclusion through Advanced Text Analytics
  5. AI System Evaluation
  6. AI, Platforms, and Ecosystems in Digital Services
  7. Artificial Intelligence-powered Devices and Sensors
  8. Big Data and Analytics: Evolutionary Analytics
  9. Computational Consciousness and Awareness
  10. Cyber Deception and Cyberpsychology for Defense
  11. Data Science and Machine Learning to Support Business Decisions
  12. Digital Service Design, Innovation and Management
  13. Explainable Artificial Intelligence (XAI)
  14. Game-Changing Analytics in Sports
  15. Gamification
  16. Generative AI for Decision Analytics: Exploring Explainability and Innovation
  17. Geoartificial Intelligence (GEOAI), Location Analytics and GIS in the System Sciences
  18. Human Roles and Skills in AI-Based Services
  19. Information Systems Research Methodology for the 2030’s
  20. Interactive Visual Analytics for AI, Knowledge Integration and Decision Intelligence
  21. Leveraging Financial Data with Big Data Tools or Generative AI
  22. Natural Language Processing and Large Language Models Supporting Data Analytics for System Sciences
  23. Networks, Digital Twin and AI
  24. Practitioner Research Insights: Applications of Science and Technology to Real-World Innovations
  25. Simulation Modeling, Artificial Intelligence and Digital Twins for Decision Making in Production and Logistics
  26. Social Robots - Robotics and Toy Computing
  27. Soft Computing: Theory Innovations and Problem-Solving Benefits
  28. Technology and Economics in AI-Assisted Markets
  29. Transformative Service Systems for a Sustainable World

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 feedback.

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

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

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