Applying a Structured Industry Model Development Process to Support Digital Transformation Efforts

Author:

Erskine Michael A.1ORCID,Brooks Stoney1,DiValentin Christina2,Kendal Taylor3

Affiliation:

1. Middle Tennessee State University, USA

2. Universität des Saarlandes, Germany

3. University of Colorado, Denver, USA

Abstract

While business models transformed how we describe organizations, the authors apply equivalent modeling to describe industries. Specifically, the authors propose and implement a structured industry model development process (SIMDP) based on the design science research methodology (DSRM). Moreover, our novel approach conceptualizes an industry model scaffolded through academic research and managerial guidance. An industry model creates a holistic view of any target industry to a) guide digital transformation efforts, b) reveal model components and linkages that may not be immediately evident, and c) support strategic decision-making within organizations considering the expansion and refinement of existing business models. The authors demonstrate the SIMDP’s efficacy using a case study of the online learning industry and evaluate the resulting industry model. Finally, the authors suggest future research directions and discuss the practical implications of the SIMDP and its resulting artifacts.

Publisher

IGI Global

Subject

Marketing,Strategy and Management,Computer Networks and Communications,Computer Science Applications

Reference51 articles.

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2. Amazon. (2021). Netflix Innovator. Amazon Web Services, Inc. https://aws.amazon.com/solutions/case-studies/netflix/

3. Andriole, S. J. (2017). Five Myths About Digital Transformation. MIT Sloan Management Review, 58(3).

4. Asfoura, E., Jamous, N., & Salem, W. (2009). The economic classification of E-Learning business models. IEEE Multidisciplinary Engineering Education Magazine, 4(1), 8–12.

5. An Economic Appraisal of MOOC Platforms: Business Models and Impacts on Higher Education

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