PRIME - Paderborn Research Colloquium on Information Management & Engineering

Abstract:

Case study research is among the most used research methods in the Information Systems discipline. Over the last years, an increasing number of publications use case studies with only few sources of evidence, such as single interviews per case. While there is a lot of methodological guidance on how to rigorously conduct multiple case studies, it remains unclear how researchers may achieve an acceptable level of rigor for this emerging type of multiple case studies with few sources of evidence, i.e., multiple mini case studies. In this context, we aggregate the methodological guidance for multiple case study research from a cross-disciplinary perspective. Further, we calibrate this guidance to multiple mini case studies by reviewing previous IS publications using multiple mini case studies to offer a step-by-step guide. Finally, we identify two advantageous scenarios to use multiple mini case studies as a pragmatic and rigorous approach. While multiple mini case studies have been widely spread among conference papers, there is potential to use this type of multiple case study research in the wider IS discipline.

Short Bio:

Susanne is a professor for Business Information Systems, esp. IS in Trade and Industry at TU Dresden, Germany. Before joining TU Dresden, she held positions at the University of Augsburg and the European Business School. She graduated from the Darmstadt University of Technology where she also obtained her Ph.D. and completed her habilitation thesis. Her research interests focus on IS management & sourcing, ERP systems, and enterprise modeling. Currently, Susanne is the spokesperson of the Scientific Commission for Business & Information Systems Engineering (WKWI) within the German Academic Association for Business Research (VHB e.V.).

Abstract:

Computer-assisted methods and tools can help researchers automate the coding process within literature reviews and accelerate the literature review process. However, existing approaches for coding textual data do not account for lexical ambiguity; that is, instances in which individual words have multiple meanings. To counter this, we developed a method to conduct rapid and comprehensive analyses of diverse literature types. Our method uses entity linking and keyword analysis and is embedded into a literature review framework. Next, we apply the framework to review the literature on digital disruption and digital transformation. We outline the method’s advantages and its applicability to any research topic.

Short Bio:

Mauricio Marrone's research interest is to uncover cutting-edge trends, reveal critical knowledge gaps and connect scholarly communities by creating novel literature-based discovery methods. He has developed a strong interest in creating innovative research methods and has enhanced conventional research methods using text mining and machine learning. In doing so, he acts as a boundary spanner between disciplines, research communities, academics and practitioners. He has received several internal and external awards for his innovative learning and teaching methods. Mauricio is part of the Editorial Board of the Australian Journal of Management. In addition, he has published in top-tier journals such as the European Journal of Information Systems, International Journal of Information Management and Technological Forecasting and Social Change journal.

Abstract:

The notion of digital ecosystems has become a fruitful metaphor for examining the effects of digitalization across boundaries of organization, industry, lifeworld, mind, and body. In business-economic terms, the metaphor has inspired IS research into new business models, while in engineering terms, it has led to important insights into the design and governance of digital platforms. More recently, a third take is approaching digital ecosystems as literal ecological systems, reintroducing ecological thinking and the radically anti-modern philosophy it promotes into IS research. While such thinking lends itself to critiquing foundational IS categories (such as socio-technicality and externalities), it has yet to demonstrate its potential for guiding alternative practices of orchestrating digital ecosystems. In this talk, I will focus on possible avenues for developing such practices by discussing the notion of a “healthy” digital ecosystem as the primary goal of its orchestration, drawing on ecological categories such as resilience and flexibility budgets. By way of conclusion, I will then sketch the contours of IS research and practice that is more ecological and, thus, more responsive to a world increasingly marked by precarity.

Short Bio:

Attila Márton is an associate professor at the Department of Digitalization, Copenhagen Business School. His main research is in digital ecology, including the political ecology of digital ecosystems, digital labour and AI, and the sociology of digital knowledge and forgetting. He is a recipient of the AIS Early Career Award and his research is being published in leading information systems, organization studies and sociological journals.

Abstract: 
Artificial intelligence (AI) surpasses human performance in some areas, and it is expected to rationalize an entire series of professions. At the same time, the applications where AI outperforms humans are very task specific and AI lacks currently to realize general intelligence that goes beyond performing individual tasks. Diverse capabilities call for a partnership between AI and staff instead of a substituting human labour with this technology. Based on the theory of transactive memory systems, we propose a novel construct of transactive intelligent memory system (TIMS) that describes a partnership between humans and AI on a comparable cognitive level. To successfully implement such a partnership, humans and AI systems will have to meet certain requirements, as we outline. Based on the in-depth analysis of two cases from AI usage in communication (within organizations and with clients), we validate our new TIMS construct. The construct helps information systems research to effectively explore the role that AI in future work processes. Practitioners can better exploit the capabilities of human and AI actors in collaboration when they implement our three proposed requirements for information systems that support transactive collaboration between humans and AI namely an 1) intuitive and 2) humanistic user interface, and 3) a clearly defined role of AI.
 
Short Bio: 
Dr. Nora Nahr works as a Senior Researcher at the Department of Information Systems at the University of Passau in Germany, where she successfully completed her PhD in 2016. She has been, amongst others, visiting scholar at the University of Turku in Finland. Her research interests include the fields of artificial intelligence and knowledge management and their adoption and application in organizational settings. This includes particularly the development and investigation of text mining techniques for processing knowledge across the entire knowledge lifecycle, as well as the exploration of efficient modes of collaboration to support knowledge work in hybrid teams of humans and intelligent agents. Nora’s research has been published in various leading journals and conference proceedings such as the Communications of the Association for Information Systems (CAIS), the Journal of Knowledge Management (JKM), the International Journal of Knowledge Management (IJKM) and the European Conference on Information Systems (ECIS).

Abstract:
Mental disorders in young adulthood are a major public health concern. Digital tools such as chatbots reflect a promising technology to facilitate mental health assessment. However, the human-like interaction style of chatbots may induce potential biases, such as social desirable responding (SDR), and may further require more effort to complete assessments. The study aimed to investigate i) the convergent and discriminant validity of chatbots for mental health assessment, ii) the effect of assessment mode on SDR and iii) effort required by participants for assessment using chatbots compared to established modes. In a counterbalanced within-subject design, we assessed different constructs (psychological distress, Brief Symptom Inventory, problematic alcohol use) in three modes (chatbot, paper-and-pencil, web-based). 146 young adults were recruited from a research panel for a laboratory experiment. Results revealed high positive correlations of measures of the same construct across different modes indicating convergent validity of chatbot assessments. Our findings suggest that chatbots may yield valid results. Furthermore, an understanding of chatbot design trade-offs in terms of potential strengths (i.e., increased social presence) and limitations (i.e., increased effort) when assessing mental health were established.

Short Bio:
Stefan Morana is a Junior Professor of Information Systems at the Saarland University. His research focuses on the human-centered design of interactive systems for the digital transformation from the perspective of the individual, organizations, and society. More specifically, he investigates the design of assistant systems and conversational interfaces supporting the individual usage of information systems. His research has been published in journals such as the Journal of the Association for Information Systems, Decision Support Systems, International Journal of Human-Computer Studies, Business & Information Systems Engineering, Internet Research, and Communications of the Association for Information System. Stefan is track chair of the “Design Research and Methods in IS” track at the European Conference for Information Systems since 2019 and has served as track chair as well as associate editor for major IS conferences.

Abstract:

Given the trajectory of artificial intelligence (AI), autonomous conversational agents such as social robots will likely soon join teams in the workplace. A potential role such agents will play is adopting the role of facilitators, for example, facilitating certain tasks like a Scrum master in agile software development projects. In this role, they need to enact a certain degree of control over the Scrum team. It is unclear how human team members would react to a robotic Scrum master’s control style, which could be more enabling or more authoritative. Based on a vignette-based experiment supported with rich video animations, our findings suggest that a robot’s enabling control style results in higher team members’ job satisfaction because the robot’s enabling style leads to more trust. Thus, trust positively mediates the relationship between control style and job satisfaction. No mediation effect was found for monitoring. These findings have implications for control theory and conversational agents design. In this talk, I will also complement our findings with first insights we gained from a laboratory experiment, where subjects interact with a NAO robot as a Scrum Master in a role-playing game.

Short Bio:

Isabella Seeber is an Associate Professor at the Department of Management, Technology and Strategy at the Grenoble Ecole de Management. Since 2013, she holds a doctorate degree from the University of Innsbruck, Austria. Isabella’s research focuses on AI-enabled conversational agents in team collaboration, team- and crowd-based innovation, digital nudging, and Collaboration Engineering. She also successfully acquired external funding for her research projects (FWF-P 29765, FWF-J 3735). Her research has appeared in journals such as Journal of Management Information Systems, Decision Support Systems, Computers in Human Behavior, Information & Management, or Group Decision and Negotiation.

Christine Legner is Full Professor of Information Systems at HEC Lausanne, University of Lausanne, where she teaches business information systems and enterprise architecture. She is also the academic director of the Competence Center Corporate Data Quality (CC CDQ), a research consortium and expert community in the field of corporate data management.

Her research interests revolve around IT-enabled business innovations, resulting from the convergence of cloud, mobile and analytical technologies. She works on concepts and methods for corporate data management and strategic IT planning to align business information systems with organizational goals and structures.

Before joining HEC Lausanne, Christine Legner was professor at European Business School in Wiesbaden (Germany). She holds a PhD and post-doctoral qualification (“Habilitation”) in Information Systems from the University of St. Gallen (Switzerland). She has been visiting scholar at INSEAD, Stanford University and University of Montreal.

Jan Recker is Alexander-von-Humboldt Fellow, Chaired Professor for Information Systems and Digital Innovation at the University of Hamburg, and Adjunct Professor at the QUT Business School. In his research he explores the intersection of technology, people and work. He works with particularly large organizations, such as Woolworths, SAP, Hilti, Commonwealth Bank, Lufthansa, Ubisoft, Esri, federal and state governments, and with particularly small organizations ("start-ups") in the consumer goods, hardware, and financial sectors. He tackles questions such as

• systems analysis and design practices in the digital age
• digital entrepreneurship
• digital innovation and transformation in large organizations
• digitalization of products, services, and processes
• digital solutions for a sustainable future

Jan's research in these areas draws on quantitative, qualitative and computational methods. He has published in leading information systems, management science, software engineering, project management, computer science, and sociology journals. He has also written popular textbooks on scientific research and data analysis, which are in use in over 500 institutions in over 60 countries. He was Editor-in-Chief of the Communications of the Association for Information Systems from 2015-2020. He is Senior Editor for the MIS Quarterly. In 2019, he was named #1 business researcher under 40 years of age by the German Magazine Wirtschaftswoche. He was the youngest academic ever to be named an AIS fellow in 2018. In 2019, he received an “Outstanding Associate Editor Award” from MIS Quarterly.

Prof. Dr. Christiane Lehrer is Assistant Professor at the Department of Digitalization, Copenhagen Business School. She holds a PhD in Information Systems from the Ludwig Maximilian University (LMU) Munich. After her PhD, she gained 3 years of industry experience as a strategy and M&A manager in a large telecommunications company. Before joining CBS, Christiane was Assistant Professor and Head of Competence Center Digital Service Innovation at the University of St. Gallen, Switzerland.

Christiane's research specialization concerns 1) data-driven innovation and change, and 2) user behavior. She studies how organizations can use data analytics for the successful innovation of products and services. At the same time, she investigates how users interact with digital technologies and how this can lead to behavioral changes.

Her work has appeared, among others, in highly regarded journals such as Journal of Management Information Systems, European Journal of Information Systems, and Electronic Markets and has been presented at leading conferences such as the International Conference on Information Systems. Christiane is Associate Editor of Electronic Markets and has performed track chair duties for multiple international conferences.

Dr. Ransbotham’s research interests include IT security, social media and the strategic use of IT. In 2014, he was awarded an NSF CAREER Award for his analytics-based research in security. He was recently named the guest editor for MIT's Sloan Management Review, Data and Analytics initiative. His recent research appeared in Marketing Science, Management Science, MIS Quarterly, Information Systems Research and the INFORMS Journal on Computing. Dr. Ransbotham was also awarded one of eleven inaugural Google and WPP Marketing Awards to support research into how online media influences consumer behavior, attitudes, and decision making.

In his talk, Dr, Ransbothom presented interesting findings in the context of his current research focus investigating how electronic medical records influence the malpractice claim resolution time and how electronic trace data can be used in legal decisions.

Prof. Dr. Iris Junglas is the Noah T. Leask Distinguished Professor of Information Management and Innovation in the Supply Chain and Information Management Department at the College of Charleston. She holds a Ph.D. from the University of Georgia, as well as an undergraduate and master’s degree in Computer Science from the University of Koblenz, Germany. Over a 20-year career, she has worked for a variety of IT consulting firms, including PricewaterhouseCoopers and Accenture where she worked under the tutelage of Jeanne Harris (co-author of the book “Competing on Analytics” together with Tom Davenport) as a Research Fellow for the Institute of High Performance.

Iris’ research sits at the intersection of technology innovation and business analytics. Overall, Iris has published more than 50 refereed journal articles in the field of Information Systems, including outlets, such as the European Journal of Information Systems, Journal of the Association of Information Systems, Information Systems Journal, Journal of Strategic Information Systems, Management Information Systems Quarterly and Management Information Systems Quarterly Executive. In 2017, Iris won the AIS best paper award for her work together with Oliver Müller, Jan vom Brocke, and Stefan Debortoli on “Deriving business value from unstructured data” for which the authors developed a text mining tool, freely available at MineMyText.com.

Iris is a Senior Associate Editor of the European Journal of Information Systems, an Associate Editor for the Communications of AIS, and a board member of the Journal of Strategic Information Systems and Management Information Systems Quarterly Executive. She has just completed a Fulbright Scholarship at Maynooth University in Ireland where she researched the “Internet of Things.” She has taught at the undergraduate, graduate, Ph.D., and executive level, inside and outside the US, in English and in German. In 2018, she won a graduate teaching award for her work with MBA students.

Iris has lived in Germany, Switzerland, and Ireland. In the U.S., Iris seems to like the “ston” towns as she has lived in Houston, Boston, and now lives in Charleston. Iris loves oil-painting and repairing things.

Prof. Dr. Alexander Benlian  became Director of the Endowed Chair for Business Informatics & E-Services at the Technische Universität Darmstadt (TU Darmstadt) in 2012. In his research he focuses on how companies can benefit from software platforms, cloud services and the rapid viral spread of information in social networks. Furthermore he is interested in how users interact with novel IT-related concepts such as web personalization, online communities or viral "loop triggers" on the Internet. In addition and more specifically he is interested in the fields of entrepreneurship, service research, behavioural economics and psychology and prefers to work empirically.

Prof. Dr. Tilo Böhmann is deputy head of the Department of Computer Science at the University of Hamburg and the Research Group IT Management and Consulting. His research interests are service systems engineering and IT management as well as innovative digital services and their service business models.

He is co-initiator of ahoi.digital, a strategic growth program for computer science in Hamburg and the research cooperation Information Governance Technology between computer science, law and ethics. Tilo Böhmann holds a habilitation degree from the Technical University of Munich, a doctorate from the University of Hohenheim and an MSc from the London School of Economics and Political Science.

Dr. Daniel Schnurr has lead the Data Policies research group at the University of Passau since April 2017. He received his PhD in 2016 in the field of Information Systems at the Karlsruhe Institute of Technology, where he worked for three years as a research assistant at the Institute of Information Economics and Marketing (IISM). From 2007 to 2013 Dr. Daniel Schnurr studied Information Economics (B.Sc. & M.Sc.) at the Karlsruhe Institute of Technology. He was a visiting student at the John Molson School of Business, Concordia University (Canada) and Singapore Management University (Singapore).

In his research Daniel Schnurr focuses on the economic and strategic implications of digitization. He has published his work on the competitive importance of access to data and network infrastructure in renowned journals such as Management Science, Journal of Industrial Economics and MIT Sloan Management Review. On the basis of interdisciplinary research Daniel Schnurr is involved in the transfer of knowledge in practice and politics and coordinates the working group "Digital Society: Culture & Policies" of the Center for Digitization in Bavaria.

Dr. Markus Weinmann is an assistant professor at the Institute for Information Systems. He received his doctorate from the Technical University of Braunschweig and has been a visiting researcher at various universities, including the City University of Hong Kong and the Queensland University of Technology. His research results have been published in leading journals (e.g. MIS Quarterly), awarded prestigious prizes (e.g. European Research Paper of the Year) and presented by international media (e.g. The Wall Street Journal and Der Spiegel). Markus Weinmann researches and teaches in the field of "Digital Economy", in particular on the decision-making behaviour of users on digital platforms. Areas of application include crowdfunding (e.g. kickstarter), crowdsourcing (e.g. transfer market) or online ratings (e.g. TripAdvisor).