Electricity Utility Business Model Risks: A Case-study of South African Municipal Utilities

B. Thwala, T. N.D. Mathaba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The global implications of the Paris Agreement, advances in technology and local social-economic factors are rapidly driving an energy transition that threatens existing utility business models. This work presents a preliminary analysis of the business model risks posed by global mega-trends and the local pressures on the South African municipal electricity utilities based on analysis of published literature and company documents. Using the Business Model Canvas (BMC) tool, the analysis divides the current utility business models into three elements: value proposition, creation and capture, and value capture. The results identify potential risks in the business model according to elements of the BMC to address the prevailing trends such as the energy shortage crisis, increased share of the renewable energy market, and changes in energy policies and legislation/regulations legislation.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1603-1608
Number of pages6
ISBN (Electronic)9798350323153
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore
Duration: 18 Dec 202321 Dec 2023

Publication series

Name2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

Conference

Conference2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Country/TerritorySingapore
CitySingapore
Period18/12/2321/12/23

Keywords

  • Business model
  • electricity
  • risk
  • South Africa

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Statistics, Probability and Uncertainty
  • Industrial and Manufacturing Engineering
  • Modeling and Simulation
  • Strategy and Management

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