Edge Computing on the Rise

Towards a Business Model Tool for Analyzing the Potential of Edge Computing for IoT Applications

Master thesis (2019)

Authors

M.A. Huisman Technology, Policy and Management

Contributors

Aaron Yi Ding (mentor)
Mark de Reuver (graduation committee member)
E.J.L. Chappin Energy and Industry (graduation committee member)
Faculty
Technology, Policy and Management, Technology, Policy and Management
Copyright: © 2019 Michiel Huisman
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Published Date

12-08-2019

Language

English

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Faculty

Technology, Policy and Management

Abstract

Edge computing can deliver substantial value to the general idea of the Internet of Things (IoT). However, there is a myriad of potential IoT applications for edge computing. Stakeholders are left with uncertainty about how the business potential of edge computing for these IoT applications can be identified. This research contributes in solving this, by designing a business model tool that can be used to identify the business model potential of edge computing for distinct IoT application areas, based on business model viability and feasibility. Through the Design Science Research Methodology (DSRM), the tool has been designed, demonstrated, and evaluated. Based on the STOF ontology, and supplemented by the theoretical domains of business ecosystems and platform theory, nine generic variables have been identified to explain business model viability and feasibility. These generic variables have in turn been contextualized towards the edge computing domain, in terms of 45 contextual input variables. This is the first research that unfolds these business model variables for edge computing.

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