KSRI@KIT

KSRI at HICSS 2018

  • Date: 02.10.2017
  • We are happy to announce that five KSRI papers have been accepted to the 51st HICSS.
    The Hawaii International Conference on System Sciences (HICSS) has been known world- wide as one of the longest standing scientific communities in the information systems and technology fields. Since 1968, it has become a respected destination that attracts high-caliber scholars and professionals in academia, industry and government agencies around the world to discuss their cutting-edge research.

    Following papers have been accepted:
     
    Niklas Kühl | Marius Mühlthaler | Marc Goutier
    Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach

    Towards a Technician Marketplace using Capacity-Based Pricing 

    Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda 

    A Model-driven Approach for the Description of Blockchain Business Networks 

    Daniel Steuer | Hansjörg Fromm | Peter Korevaar | Verena Hutterer
    A Similarity-Based Approach for the All-Time Demand Prediction of New Automotive Spare Parts


    In addition two minitrack of the KSRI take place at the upcoming HICSS: 

    IT-ENABLED-HEALTHCARE-COORDINATION-MINITRACK 
    Healthcare coordination involves organizing and sharing information among all participants involved in patient care in order to provide safer and more effective care. This mini-track will focus on the design and use of technology as well as non-IT assets such as process changes, innovative IT artefacts, and interoperability standards to address these challenges to achieve and enable efficient coordination in healthcare. 

    Hansjörg Fromm | Gerhard Satzger | Thomas Setzer 
    SERVICE ANALYTICS MINITRACK 
    Research topics addressed in this minitrack include the applicability of basic and advanced analytics to different service systems, the state-of-the-art of service analytics methodologies and tool-support, and the investigation of benefits resulting from the application of service analytics. This minitrack will serve as a forum for researchers and practitioners to share progress in the study of these and related themes. 

    We wish a successful participation!