Business models as scientific models: The question of perspective?

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Date

2023

Authors

Anita Trnavčevič
Roberto Biloslavo
Tine Bertoncel
Carlo Bagnoli
Aleksander Janeš
Bernard J. McKenna
Cagri Kaderoglu Bulut

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Volume Title

Publisher

IOS Press BV

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Green Open Access

No

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Abstract

BACKGROUND: In the last 15 years theoretical discussions and empirical research on the domain of business models have grown significantly. Different authors understand and focus on either constituencies of business models or narratives. The question remains what the predictive value of business model is. OBJECTIVES: The purpose of this interdisciplinary conceptual paper is to investigate and discuss business models as scientific models. METHODS: This article is conceptual although previous studies on business models enrich this discussion. RESULTS: A narrative perspective on business models shows that they also have a predictive value that is expressed through language not in numbers maps and diagrams. The process of reflexivity that is contextualised and bounded in the form of a narrative lies at the centre of designing and changing the business model. The article provides substantial discussion on business models as scientific models and their predictive power. These concepts have not been deeply discussed yet. CONCLUSIONS: An argument is provided to support the proposition that business models can be considered as scientific models that is however embedded in specific organizational cultural and technological contexts. Future research needs to be directed towards the empirical analysis of narratives in companies. © 2023 Elsevier B.V. All rights reserved.

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Keywords

Business Model, Conceptual Paper, Narrative, Scientific Model, Business Models, Conceptual Paper, Empirical Analysis, Empirical Research, Narrative, Organisational, Predictive Power, Predictive Values, Research Needs, Scientific Modeling, Computational Methods, Business models, Conceptual paper, Empirical analysis, Empirical research, Narrative, Organisational, Predictive power, Predictive values, Research needs, Scientific modeling, Computational methods, Conceptual Paper, Business Model, Scientific Model, Narrative

Fields of Science

0502 economics and business, 05 social sciences

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OpenCitations Citation Count
1

Source

Human Systems Management

Volume

42

Issue

1

Start Page

15

End Page

25
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1

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