Track Description
Scientific fields do not only develop cumulatively, but rather through constant challenging of widely taken for granted beliefs underlying cumulative research tradition. An important aspect of any scientific field is to ensure that its ideas can withstand scrutiny from the members of own and other scientific communities. Such activity is important for IS community to ensure that the approaches we rely on to build on our research, sometimes over years or decades, are on solid grounds and leading the IS community to progress in the right direction. Such scrutiny can reveal weaknesses, which future research can improve, call for debate on criticized approaches, or inspire development of new approaches. This critical scrutiny can focus on any part of IS research, including the fundamental beliefs on theories, methods, IS philosophy and the role of IS in solving important practical and societal problems. Against this background, the track “Advances in Theories, Methods and Philosophy” invites submissions aimed at challenging fundamental assumptions in IS methods, philosophy or theories and proposing new approaches to advance IS research. This track not only serves as the forum for challenging debates with well-grounded arguments, but also invites new advances regarding theory, methods, or philosophy.

Track Chairs
Xinxin Li, University of Connecticut
Emmanuel Monod, Shanghai University of International Business and Economics and IPAG Business School
Mikko Siponen, University of Jyväskylä

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Sunday, December 12th

A Means to an End of the Other - Research Avenues at the Intersection of Organizational Digital Transformation and Digital Business Ecosystems

Philip Karnebogen, FIM Research Center, University of Augsburg Project Group Business & Information Systems Engineering of the Fraunhofer FIT
Anna Maria Oberländer, FIM Research Center, University of Bayreuth
Patrick Rövekamp, FIM Research Center, University of Augsburg

Automated Coding and Scoring of Text: Artifact Design, Application, and Evaluation

Anol Bhattacherjee, University of South Florida
Alysson De Oliveira Silveira, University of South Florida

Design Decisions in Behavioral Experiments: A Review of Information Systems Research

Marcel Pascal Cahenzli, University of St.Gallen
Stephan Aier, University of St.Gallen
Kazem Haki, University of St.Gallen

Exploring the Archive: A Problematization Lens for Conducting Critical IS Research

Stig Nyman, Copenhagen Business School
Mads Bødker, Copenhagen Business School
Tina Jensen, Copenhagen Business School
Marius Gudmand-Høyer, Copenhagen Business School

Free Will in Philosophy and in IS research: where do we stand and where do we want to be?

David Kreps, National University of Ireland
Frantz Rowe, University of Nantes

From Total Effects to Underlying Mechanisms via Causal Mediation: An Empirical Example from Ride-Hailing Platforms in the United States

Ecem Basak, University of Illinois at Chicago
Mary Beth Watson-Manheim, University of Illinois at Chicago
Ali Tafti, University of Illinois at Chicago

Literature Reviewing: Addressing the Jingle and Jangle Fallacies and Jungle Conundrum Using Graph Theory and NLP

Yuanyuan Song, University of Georgia
Richard T. Watson, University of Georgia
Xia Zhao, University of Georgia

Revitalizing Organizational Memory through Hermeneutic Phenomenology: Interpreting Information System Change in Ontario’s Child Protection Sector

Thomas Vogl, University of Oxford

Socio-Cognitive Sensemaking for Digital Innovation: Enhancing Organizing Visions with Social Representations

Friedrich Chasin, University of Cologne
Erwin Fielt, Queensland University of Technology

The Augmented Theorist - Toward Automated Knowledge Extraction from Conceptual Models

Jonas Scharfenberger, Leuphana University
Burkhardt Funk, Leuphana University
Benjamin Mueller, University of Lausanne

Towards Ethical Design Science Research

Khalid Durani, University of Innsbruck
Andreas Eckhardt, University of Innsbruck
Tim Kollmer, University of Innsbruck

Training Personalized Recommender Systems with Biased Data: A Joint Likelihood Approach to Modeling Consumer Self-selection Behaviors

Yansong Shi, Tsinghua University
Cong Wang, Peking University
Xunhua Guo, Tsinghua University
Guoqing Chen, Tsinghua University