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 language | English |
|---|---|
| Title of host publication | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1603-1608 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350323153 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore Duration: 18 Dec 2023 → 21 Dec 2023 |
Publication series
| Name | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 18/12/23 → 21/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Business model
- South Africa
- electricity
- risk
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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