Business model analysis using comutational modeling: A strategy tool for exploration and decision-making

Grösser, Stefan; Jovy, Niklas (2015). Business model analysis using comutational modeling: A strategy tool for exploration and decision-making Journal of Management Control, 27(1), pp. 61-88. Springer 10.​1007/​s00187-015-0222-1

[img] Text
Groesser-Jovy2016_Article_BusinessModelAnalysisUsingComp.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy

A business model is an essential part of a company—regardless of whether the company is a small entity or a global enterprise. Interest in business models in research and in practice has grown significantly in the last decade. Strategic initiatives and changes in business models are particularly cost intensive and uncertain. Thus, the analysis and understanding of a business model’s structure and its changes induced by strategic initiatives is crucial. Approaches to business model analysis needs to support strategists and decision-makers, enabling them to evaluate strategic initiatives and alternatives in fluent environments where there is little or no prior experience. However, regrettably, the qualitative approaches currently available fall short of providing sound guidelines especially in uncertain, highly volatile situations that involve rapid technological developments and agile competitors, which middle managers and top-level executives are often faced with. The quantitative approach used in the article concerning business model analysis is founded on a systemic simulation methodology which enables decision makers to obtain insightful experimental designs with a company’s business model. Computational modeling helps to understand business models as complex systems with dynamic interdependencies and thereby it can complement existing tools. This article uses the approach for a case study in the e-commerce business. It discusses advantages and disadvantages of computational modeling as a strategy and management tool.

Item Type:

Journal Article (Original Article)

Division/Institute:

Engineering and Information Technology > Institute for Data Applications and Security (IDAS)
Engineering and Information Technology
Business
Engineering and Information Technology > Institute for ICT-based Management (ICTM)

Name:

Grösser, Stefan0000-0003-3412-2711 and
Jovy, Niklas

ISSN:

2191-4761

Publisher:

Springer

Language:

English

Submitter:

Admin import user

Date Deposited:

10 Sep 2019 08:25

Last Modified:

18 Dec 2020 13:27

Publisher DOI:

10.​1007/​s00187-015-0222-1

Uncontrolled Keywords:

Business model analysis Simulation-based experiments Strategy tool Management tool Business model innovation System dynamics

ARBOR DOI:

10.24451/arbor.5856

URI:

https://arbor.bfh.ch/id/eprint/5856

Actions (login required)

View Item View Item
Provide Feedback