DESRIST 2017

The design, implementation, and evaluation of information systems requires a profound understanding of the physical, cognitive, and affective processes of users interacting with computerized artifacts. The interdisciplinary research area of Human-computer Interaction (HCI) is concerned with informing the design of computerized artifacts by establishing comprehensive theories of user behavior, exploring and testing models with rigorous research, providing validated evaluation methods and design guidelines, and designing and evaluating artifacts. This track aims to provide a platform for discussing the latest advances in HCI research and their implications.

Topics:

1. Affective processes in technology adoption
2. Co-design and empathic design in HCI
3. Designs for special needs
4. Design of collaborative interfaces
5. Gamification and serious games
6. Human-centered design
7. Innovative evaluation methods in HCI
8. Intelligent and adaptive interfaces
9. IS design for behavior change
10. User experience engineering

Theme Chairs

Marc Adam

The University of Newcastle, Australia

René Riedl

University of Applied Sciences Upper Austria & Johannes Kepler University Linz, Austria

Dov Te'eni

Tel-Aviv University, Israel

Data science and business analytics is an interdisciplinary field of methods, processes and systems used to support data-driven decision-making that adds significant value. For this track, we invite design science papers that propose novel constructs, models, methods, or instantiations based on principles in data mining, statistics, machine learning, network analysis, data management, conceptual modeling, and other computational or quantitative fields. We welcome papers examining a wide-range of contexts including healthcare, security, energy, marketing, supply-chain, technology, service, learning, transportation, fraud prevention, and the environment. Conceptual papers examining challenges and opportunities regarding the role of DSR for data science and business analytics are also welcome.

Topics of interest include (but are not limited to) the following:

1. Novel IT artifacts for predictive, descriptive, or prescriptive analytics
2. Novel IT artifacts to support data-driven decision-making
3. Privacy-preserving IT artifacts
4. Modeling formalisms to support Big Data analytics
5. Integration artifacts for heterogeneous data sources in data science and business analytics
6. Action design research in Big Data environments
7. Analytics-driven business process automation
8. Constructs and methods for evaluating the value of IT artifacts related to data science and business analytics
9. Information systems design theories in data science and business analytics contexts
10. Conceptual explorations regarding the role of DSR in data science and business analytics

Theme Chairs

Wolfgang Ketter

Erasmus University Rotterdam, Belgium

Sudha Ram

The University of Arizona, USA

Ahmed Abbasi

University of Virginia, USA

Design Science Research in Service Science focuses on developing theories and IT artifacts for value co-creation in service systems. Service systems are dynamic configurations of resources, including people, organizations, shared information, and technology, all connected internally and externally to other service systems by value propositions (Spohrer et al. 2007, Maglio et al. 2009).

The proliferation of IT into all areas of modern life has enabled companies and local administrations to offer new value propositions, while at the same time increasing the efficiency of their operations. However, despite substantial efforts within the field and large governmental funding initiatives, researchers and practitioners still suffer from a lack of robust (theory-based) knowledge for engineering and managing services, and to leverage Information Systems for service innovation. Whereas service, a concept that can be considered the foundation of all economic exchange (e.g. Vargo and Lusch, 2004), now challenges previously established concepts in the IS discipline, many IT artifacts still lack the maturity and applicability that is required to make a difference in the industrial application of service systems (Becker et al. 2011). New IT artifacts are particularly required for developing service architectures, designing interactions, and mobilizing resources in service systems (Böhmann, Leimeister and Möslein 2014).

We encourage researchers and practitioners to submit high quality papers that deal with designing and evaluating innovative constructs, models, methods, and software instantiations for service systems. Successful papers are expected to provide innovative concepts or IT artifacts that can be used for the design and/or management of service systems. Likewise, we look for insightful applications of IT artifacts in industrial practice.

Topics include but are not limited to:

1. Smart Service Systems, based on Smart Products and Smart Data
2. Service Innovation
3. Service Systems Engineering
4. Information Modeling of Service Systems
5. Business Process Management in Service Systems and Service Networks
6. Value Co-Creation and Customer Orientation in Service Systems
7. Value Creation and Value Capturing Concepts for Service Systems
8. Online Communities and Crowdsourcing in Service Systems
9. Person-Oriented IT-Enriched Service Systems
10. Design of Information Systems for Service Systems
11. Digital Transformation of Service Systems
12. Digital Customer Experience
13. Smart Self-Service Technologies

Theme Chairs

Daniel Beverungen

University of Paderborn, Germany

Jan Marco Leimeister

University of St.Gallen, Switzerland

Jim Spohrer

IBM, USA

First attempts of creating a methodical approach to DSR can be traced back to the early 1990s. Since then we have come a long way. A 2004 MISQ paper defined a set of principles for canonical design research and paved the path for evaluating DSR results and for publishing the results in journal. In the following years, a number of methods, processes and perspectives have been proposed for performing DSR as well as evaluating outputs. These include broad characterizations of the activity as well as details about the conduct of design science projects. They have included suggestions to combine DSR with action research, case studies, formative and summative evaluation and other traditional research method approaches. Although the methodological choices for DSR are not as varied as traditional research approaches, the scholarly community has proposed several methods for doing design research. We seek contributions that either:

1. Develop the available methods further
2. Report on applications of the methods in practice
3. Refute current approaches or
4. Propose extensions to these methods

Theme Chairs

Jan Pries-Heje

Roskilde Universitet, Denmark

Sandeep Purao

Bentley University, USA

Matti Rossi

Aalto University, Finland

Besides cross-domain topics that are in focus of information systems research (e.g., business process management, social media, big data etc.), specific domains (e.g. manufacturing industry, financial industry, healthcare, energy, tourism, retail, e-government etc.) often exhibit problems that are special to the respective domain. Consequently, common problem solving means are not sufficiently appropriate to address these problems as they require individually adjusted specifications. Thus, this theme of domain-specific DSR applications is aimed to present DSR-based solutions that provide a specific approach to a particular domain-specific problem by combining relevance and rigor. Here, all types of domain-specific DSR-outcomes, such as constructs, models, methods or algorithms, prototypes, as well as design theories are welcome to be submitted.

Topics:

1. Domain-specific (reference) models
2. Domain-specific (software) systems
3. Domain-specific methods/approaches
4. Domain-specific process improvement
5. Domain-specific socio-technical adjustments
6. Evaluation of domain solutions
7. Potentiality analyses of domains
8. Opportunities, challenges & best practices in domain-specific DSR
9. Domain-specific comparisons of classical and DSR approaches to a problem
10. Specific DSR guidelines for particular domains
11. Domain-specific DSR dissemination & teaching
12. Domain-specific compliance management
13. Domain-specific governance strategies
14. Change management in different domains
15. Design theorizing in specific domains

Theme Chairs

Jörg Becker

University of Münster, Germany

Samir Chatterjee

Claremont Graduate University, USA

Brian Donnellan

Maynooth University, Ireland

This theme is concerned with new directions for Design Science Research, whether emerging in practice, suggestions for possibilities, or normative recommendations. What are the key trends emerging from the practice of DSR? What areas of application are emerging for DSR (that are not covered in other themes)? What new application domains should DSR research and why? How is the field or paradigm of Design Science Research progressing? What is its use and uptake in other disciplines? In what new ways can Design Science Research be understood? How can DSR be improved?

Topics:

1. New areas of application of DSR
2. New conceptualisations of DSR
3. New standards and recommended practices for DSR
4. Critical perspectives on DSR
5. Adoption and application of DSR in other disciplines
6. Lessons for DSR in IS from other disciplines
7. Teaching and supervising DSR
8. Knowledge accumulation in DSR
9. Ethical conduct of DSR
10. Analysis of trends in DSR literature

Theme Chairs

Robert Winter

University of St.Gallen, Switzerland

John Venable

Curtin University, Australia

Monica Chiarini Tremblay

Florida International University, USA