Abstract
Key Performance Indicators (KPIs) play an important role in guiding the management of business models throughout their lifecycle. However, existing research lacks practical methods to guide the definition of KPIs for business models. Without proper guidance, there may be a mismatch between the intended business model design and its implementation, resulting in many promising business model ideas failing to reach the market. To address this problem, we adopt a design science research approach to design and evaluate a method and supporting IT tool for defining business model KPIs. In this research-in-progress paper, we present a set of meta-requirements and design principles for developing the method and tool support. We instantiate the requirements and principles in a tool prototype and evaluate their validity in semi-structured interviews with five industry experts. Our study contributes to research on KPIs for business models and the development of methods and tools for business model management.
| Original language | English |
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| Title of host publication | European Conference on Information Systems (ECIS 2023) |
| Subtitle of host publication | Research-in-Progress Papers |
| Publisher | AIS Electronic Library |
| Number of pages | 13 |
| Publication status | Published - Jun 2023 |
| Event | 31st European Conference on Information Systems (ECIS 2023): Co-creating Sustainable Digital Futures - Kristiansand, Norway Duration: 11 Jun 2023 → 16 Jun 2023 Conference number: 31 https://ecis2023.no/ |
Conference
| Conference | 31st European Conference on Information Systems (ECIS 2023) |
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| Abbreviated title | ECIS 20223 |
| Country/Territory | Norway |
| City | Kristiansand |
| Period | 11/06/23 → 16/06/23 |
| Internet address |
Keywords
- Business Model
- Key Performance Indicator
- Design Science Research
- Design Principle