Smart Service Systems and Service Science

Track Description

The aim of this track is to examine both theoretically and empirically how digitalization is transforming service in today’s global, digital, service oriented economy, including the use of data analytics and smart or autonomous technologies in serve settings. Service Science fosters a multidisciplinary approach to the study of service systems, value co-creating configurations of people, technology, internal and external stakeholders connected by value propositions and shared information. Service Science research in the Information Systems (IS) domain may integrate domain knowledge and methodologies from existing disciplines such as business/management, technology, people and organization, computers, and IS, among others, to provide unique contributions to academic and industry practice. Integrating and analyzing information from many different sources, including physical and human sensors, information extracted from different heterogeneous sources, machines and devices, and so on, provides the bases for smart technologies that can operate independently in service systems. Designing, managing and maintaining such systems-based service is a complex task that requires the services continue operating with the requested quality of service at all times. The track aims to present original research on approaches, and in particular focusing on the development of models and techniques, design methodologies, and empirical evaluation related to the use of modern information systems in service.

Track Chairs
Furen Lin
Paul P. Maglio
Tuure Tuunanen