Business Models: An Information Systems Research Agenda

Business & Information Systems Engineering, 1/2014

10 Pages Posted: 27 Jul 2014

See all articles by Daniel Veit

Daniel Veit

University of Augsburg

Eric Clemons

University of Pennsylvania - Operations & Information Management Department

Alexander Benlian

Technical University of Darmstadt

Peter Buxmann

Technical University of Darmstadt

Thomas Hess

Ludwig Maximilian University of Munich (LMU)

Dennis Kundisch

Business Information Systems, esp.. Digital Markets

J. M. Leimeister

University of St. Gallen; University of Kassel - Information Systems

Peter Loos

Saarland University

Martin Spann

Ludwig Maximilian University of Munich (LMU) - Faculty of Business Administration (Munich School of Management)

Date Written: 2014

Abstract

The business model concept, although a relatively new topic for research, has garnered growing attention over the past decade. Whilst it has been robustly defined, the concept has so far attracted very little substantive research. In the context of the wide-spread digitization of businesses and society at large, the logic inherent in a business model has become critical for business success and, hence, a focus for academic inquiry. The business model concept is identified as the missing link between business strategy, processes, and Information Technology (IT). The authors argue that the BISE community offers distinct and unique competencies (e.g., translating business strategies into IT systems, managing business and IT processes, etc.) that can be harnessed for significant research contributions to this field. Within this research gap three distinct streams are delineated, namely, business models in IT industries, IT enabled or digital business models, and IT support for developing and managing business models. For these streams, the current state of the art, suggest critical research questions, and suitable research methodologies are outlined.

Keywords: Business model, Research agenda, Information systems, Business process, Strategy

Suggested Citation

Veit, Daniel and Clemons, Eric K. and Benlian, Alexander and Buxmann, Peter and Hess, Thomas and Kundisch, Dennis and Leimeister, Jan Marco and Loos, Peter and Spann, Martin, Business Models: An Information Systems Research Agenda (2014). Business & Information Systems Engineering, 1/2014, Available at SSRN: https://ssrn.com/abstract=2471635

Daniel Veit

University of Augsburg ( email )

Universitätsstr. 2
Augsburg, 86159
Germany

Eric K. Clemons

University of Pennsylvania - Operations & Information Management Department ( email )

Philadelphia, PA 19104
United States
215-898-7747 (Phone)
215-573-8757 (Fax)

HOME PAGE: http://www.wharton.upenn.edu/faculty/clemons.html

Alexander Benlian

Technical University of Darmstadt ( email )

Universitaets- und Landesbibliothek Darmstadt
Magdalenenstrasse 8
Darmstadt, Hesse D-64289
Germany

Peter Buxmann

Technical University of Darmstadt

Universitaets- und Landesbibliothek Darmstadt
Magdalenenstrasse 8
Darmstadt, Hesse D-64289
Germany

Thomas Hess

Ludwig Maximilian University of Munich (LMU) ( email )

Geschwister-Scholl-Platz 1
Munich, DE Bavaria 80539
Germany

Dennis Kundisch

Business Information Systems, esp.. Digital Markets ( email )

Warburger Str. 100
D-33098 Paderborn
Germany

Jan Marco Leimeister (Contact Author)

University of St. Gallen ( email )

Varnbuelstr. 14
Saint Gallen, St. Gallen CH-9000
Switzerland

University of Kassel - Information Systems ( email )

Pfannkuchstraße 1
Kassel, 34121
Germany

Peter Loos

Saarland University ( email )

Stadtwald
Saarbrucken, Saarland D-66123
Germany

Martin Spann

Ludwig Maximilian University of Munich (LMU) - Faculty of Business Administration (Munich School of Management) ( email )

Ludwigstr. 28
Munich, 80539
Germany

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