Collection

Special Issue on "AI-based assistants and platforms"

The Topical Collection on “Artificial Intelligence-based Assistants and Platforms” focuses on assistant systems (e.g. chatbots, recommenders) that are based on artificial intelligence and the interaction with users via declarative natural-language interfaces. They are present in various forms as well as industries and often assume a platform logic when services and devices from different providers are included. The Topical Collection relates to a minitrack at the Hawaii International Conference on System Sciences (HICSS) and comprises research on novel methods, models, processes, and approaches related to the design, implementation, deployment, operation, and optimization of AI-based assistants and platforms for the digital economy. Guest editors of the Topical Collection are Rainer Schmidt, Rainer Alt and Alfred Zimmermann.

Editors

  • Rainer Schmidt

    Rainer Schmidt (rainer.schmidt@hm.edu) is a full professor of business information systems at the Munich University of Applied Sciences. He holds a Ph.D. from KIT Karlsruhe and a degree in Computer Science. His research interests encompass AI-based assistants, platforms, ecosystems, social information systems, and business process management. He is co-organizer of this minitrack, the BPMDS working conference, and the BPMS2 and SoEA4EE workshops. He was awarded the Oskar von Miller Prize 2018 as the best researcher at Munich University of Applied Sciences.

  • Rainer Alt

    Rainer Alt (rainer.alt@uni-leipzig.de) is a Full Professor at Leipzig University's Information Systems Institute in Germany. He holds a doctoral (Dr. oec. HSG) as well as a post-doctoral degree (Habilitation) from the University of St. Gallen in Switzerland. His research focuses on architectures and methods for inter-organizational information systems and digital platforms. He is author of numerous publications on platform, fintech as well as customer-orientation topics and is Editor-in-Chief of this journal.

  • Alfred Zimmermann

    Alfred Zimmermann (Alfred.Zimmermann@Reutlingen-University.DE), is professor of computer science at Reutlingen University. He is director of research and coordinator of doctoral programs at the Herman Hollerith Center Böblingen. His research is focused on digital transformation and digital enterprise architecture with decision analytics in relationship with digital strategy and governance, software architecture and engineering, AI, data analytics, IoT, services computing, and cloud computing. He graduated in Medical Informatics at the University of Heidelberg and obtained his Ph.D. in Informatics from the University of Stuttgart.

Articles (3 in this collection)

  1. Assistant platforms

    Authors

    • Rainer Schmidt
    • Rainer Alt
    • Alfred Zimmermann
    • Content type: Fundamentals
    • Open Access
    • Published: 14 November 2023
    • Article: 59