Background: By establishing the business model of a firm or a venture, it is possible to understand the rationale of the way the value is created, delivered to the customers, and how this value is consumed. Here it relies on the importance of clearly defining the different business models for all the partners involved, including the use of metrics to measure how they intend to create and deliver value to the various customers. An unexplored area in the business model/metrics relationship is how to measure business models related to a technology shift. An example of a technology shift is the current transformation of the transportation sector. The electrification of the transport sector is going fast, and battery-electric and fuel-cell electric vehicles are being brought to the market. Objectives: The value that we intend to deliver by the end of this thesis for the managerial literature is to establish clear metrics for a business model related to a specific technology shift, the Electric Road System (ERS). Methodology: We have used an abductive approach for this thesis. It is expected that this approach would draw a plausible relationship between the available metrics and the business models and also helps to create metrics for any business model dealing with a technology shift. Results: In this thesis, we have achieved the identification of stakeholders for the ERS, designed four business models related to the most important stakeholders, and selected/created twenty-nine metrics for the ERS that were validated with specialists in business models, metrics for business models, and ERS. By delivering all these results, we have established a first step towards establishing metrics that can be used in business models related to a technology shift.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-23857 |
| Date | January 2022 |
| Creators | Rozen Golan, Daniel, Sathyanarayanan, Arun Kumar |
| Publisher | Blekinge Tekniska Högskola, Institutionen för industriell ekonomi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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