Defining Key Performance Indicators for Business Models: Design Principles for a Method and Tool Support

Montijn van de Ven, Paola Lara Machado, Dominik Augenstein, Alexia Athanasopoulou, B. Aysolmaz, Oktay Türetken

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

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.
Originele taal-2Engels
TitelEuropean Conference on Information Systems (ECIS 2023)
SubtitelResearch-in-Progress Papers
UitgeverijAIS Electronic Library
Aantal pagina's13
StatusGepubliceerd - jun. 2023
Evenement31st European Conference on Information Systems (ECIS 2023): Co-creating Sustainable Digital Futures - Kristiansand, Noorwegen
Duur: 11 jun. 202316 jun. 2023
Congresnummer: 31
https://ecis2023.no/

Congres

Congres31st European Conference on Information Systems (ECIS 2023)
Verkorte titelECIS 20223
Land/RegioNoorwegen
StadKristiansand
Periode11/06/2316/06/23
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