Published: 24.05.2023
by Montijn van de Ven , Paola Lara Machado , Alexia Athanasopoulou , Banu Aysolmaz , Oktay Turetken
Organizations need to evaluate new and existing business models to innovate their business logic and remain competitive. One way to carry out this evaluation is through business model performance indicators. Performance indicators for business models can support organizations in quantifying their business model objectives, monitoring business model performance during and after implementation, and benchmarking their business model against competitors. However, the current literature lacks a complete picture of performance indicators that can be used to evaluate business models and monitor their performance. Therefore, we conducted a semi-systematic literature review to analyze which performance indicators are referred to in the academic literature related to business models. We provide an overview of the current state of research on this topic and discuss possible directions for further research.
Length: 10 pages
DOI: https://doi.org/10.54337/jbm.v11i1.7177
Download short paperAuthor: Marco Montemari
Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: Business Model Conference , business models , short papers
Author: Bilal Bourkha
Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: imitation , business model , business model imitation
Authors: Efstathios Papanikolaou , Jannis Angelis , Vassilis Moustakis
Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: Blockchain , business ecosystem , busines model
Author: Mehdi Montakhabi
Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: busines model , venture capital , entrepreneur , entrepreneurship
Author: Emelie Havemo
Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: sustainability , Business Model Innovation (BMI) , design , visual thinking , trajectories , toolbox
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Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: multi-platform ecosystems , coopetition , complementary
Author: Malahat Ghoreishi
Published: 24.05.2023
Issue: Vol 11, No 1
Keywords: Circular economy , data-driven business models , digital technologies