At WI 2017, we are kindly inviting you to submit prototypes to our Prototype & Experiment track. Submissions are short papers in combination with a 3 min. Khan Academy style video that describe the design of an innovative prototype with high practical relevance and a methodological sound (quasi-)experimental design for its evaluation. Accepted submissions will appear in the WI 2017 proceedings and made available in the AIS Electronic Library. They will be presented during a dedicated Prototype & Experiment session at the WI’17 business day (Tuesday, Feb 14 2017).

Overall, this track has the following objectives:

• To showcase IS prototypes with the highest practical relevance
• To promote both the application of justificatory knowledge to the design of IS prototypes and a methodological sound (quasi-)experimental design for their evaluation
• To provide a platform for practice-oriented IS researcher to present and discuss their prototypes with IS executives and academics

We invite submissions from various fields of IS research that include but are not limited to:

• Data Science and Business Analytics
• Decision Support Systems
• E-Business
• Human Behavior & Behavior Change in IS
• Human-Computer Interaction
• IS in Healthcare
• IS Design
• IS in Organizations
• IT Adoption and (Continued) Use
• Internet of Things & Services
• Sustainability and Societal Impact of IS

Review Criteria

Prototype & Experiment submissions must justify the design of an innovative prototype and the (quasi-)experimental design for its evaluation. Authors are encouraged to report and discuss (preliminary) findings of their (quasi-)experiment; however, this is not a requirement due to the work-in-progress character of submissions in this track. In particular, Prototype & Experiment submissions will be judged with respect to the following criteria:

• Relevance of the practical problem
• Novelty of the prototype
• Application of justificatory knowledge during the design process of the prototype (e.g. Gregor and Jones, 2007)
• Methodological sound (quasi-)experimental design (e.g. Shadish et al., 2002) with at least one clearly specified outcome construct that is investigated

Submission Requirements

Submissions must be prepared as extended abstracts that follow the regular submission template but must not exceed the limit of four pages including references. The extended abstract must be complemented by a Khan Academy style video, which should at least last 2:30 minutes but must not exceed a total duration of three minutes. Moreover, it must be playable with the VLC media player Version 2.2.3 and it is strongly recommended to submit a Full HD (1920x1080pixel) MP4 video clip that uses the H.264 video codec. Submissions are anonymous and authors must make sure that the video does also not reveal their identity for the initial submission. For all submissions, a supplement that includes technical set-up, space requirements, etc. required for the presentation of the prototype is also mandatory. These materials are for review and planning processes only and will not be published in the conference proceedings. The supplement, for which there is no special template, should not exceed four pages. All submission material should be uploaded as one single zipped file to the submission system. If the zipped file exceeds the upload limit of 20MB, the authors should provide a link to the video clip in the supplement document (e.g., via a Dropbox link).

References

• GREGOR, S. & JONES, D. 2007. The Anatomy of a Design Theory. Journal of the Association for Information Systems, 8, 312-335.
• SHADISH, W. R., COOK, T. D. & CAMPBELL, D. T. 2002. Experimental and Quasi-Experimental Designs for Generalized Causal Inference, Belmont, CA, Wadsworth, Cengage Learning.

Track Chair

Contact Track Chair

Associate Editors

Andreas Bogner, Institute of Technology Management, University of St.Gallen (HSG)
Patrick Delfmann, Universität Koblenz-Landau
Andrea Giessmann, SAP SE
Tobias Kowatsch, Institute of Technology Management, University of St.Gallen (HSG)
Florian Michahelles, Siemens Corporate Research, San Francisco, USA
Christopher Lueg, University of Tasmania
Irena Pletikosa, Department of Management, Technology and Economics, ETH Zürich
Ioannis Tarnanas, Department of Management, Technology and Economics, ETH Zürich

14.02.2017, 13:30-15:00, Raum: 09-010 (Audimax)

Session Chair: Elgar Fleisch

Christian Karl Grund; Michael Schelkle; Max Hurm: Architecture and Evaluation Design of a Prototypical Serious Game for Business Information Visualization

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Jan Hendrik Betzing; Moritz von Hoffen; Florian Plenter; Friedrich Chasin; Martin Matzner; Jörg Becker: One Plug at a Time - Designing a Peer-to-Peer Sharing Service for Charging Electric Vehicles

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André Dahlinger; Felix Wortmann; Verena Tiefenbeck; Ben Ryder; Bernahrd Gahr: Feldexperiment zur Wirksamkeit von konkretem vs. abstraktem Eco-Driving Feedback

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Manuel Zapp; Peter Fettke; Peter Loos: Towards a Software Prototype Supporting Automatic Recognition of Sketched Business Process Models

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Sissy-Josefina Ernst; Andreas Janson; Matthias Söllner: Mobiles Lernen für China - eine iterative Prototypenentwicklung

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Peter Tinschert; Filipe Barata; Tobias Kowatsch: Enhancing Asthma Control through IT: Design, Implementation and Planned Evaluation of the Mobile Asthma Companion

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Dennis M Riehle; Steffen Höhenberger; Rainer Cording; Patrick Delfmann: Live Query - Visualized Process Analysis

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Matthias Hauser; Matthias Griebel; Jannis Hanke; Frédéric Thiesse: Empowering Smarter Fitting Rooms with RFID Data Analytics

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