High quality submissions in seven scientific themes
Will start in February
Business Process Management (BPM) efforts resulted in a plethora of approaches, methods and tools to support the design, analysis, improvement, enactment and management of operational business processes. The BPM discipline combines knowledge from information technology and management sciences and applies this to operational business processes. The ultimate goal of BPM is to embed the “process thinking” mindset within organizations. Design science research play a key role in BPM. To cope with the complexity of processes and to exploit the rapidly expanding opportunities provided by data science techniques, there is a need for innovative BPM approaches leading to novel constructs, models, methods, processes, and systems.
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.
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:
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:
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:
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.
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?