Applying a Structured Industry Model Development Process to Support Digital Transformation Efforts: A Case Study of the Online Learning Industry

Michael A. Erskine, Stoney Brooks, Christina DiValentin, Taylor Kendal

Source Title: Journal of Electronic Commerce in Organizations (JECO)20(1)

ISSN: 1539-2937|EISSN: 1539-2929|EISBN13: 9781799893387|DOI: 10.4018/JECO.292475

MLA

Erskine, Michael A., et al. "Applying a Structured Industry Model Development Process to Support Digital Transformation Efforts: A Case Study of the Online Learning Industry." JECO vol.20, no.1 2022: pp.1-16. http://doi.org/10.4018/JECO.292475

APA

Erskine, M. A., Brooks, S., DiValentin, C., & Kendal, T. (2022). Applying a Structured Industry Model Development Process to Support Digital Transformation Efforts: A Case Study of the Online Learning Industry. Journal of Electronic Commerce in Organizations (JECO), 20(1), 1-16. http://doi.org/10.4018/JECO.292475

Chicago

Erskine, Michael A., et al. "Applying a Structured Industry Model Development Process to Support Digital Transformation Efforts: A Case Study of the Online Learning Industry," Journal of Electronic Commerce in Organizations (JECO) 20, no.1: 1-16. http://doi.org/10.4018/JECO.292475

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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.