Innovation success over time of alliances with different strategic and cooperation objectives

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

In response to uncertainty of prospective technologies and how they might fit market demand, firms tend to establish R&D alliances. In this chapter the effect over time of continuation of underperforming R&D alliances on innovation performance during the pre-market stage is investigated. This stage is characterized by non-linearity, as expected outcomes and market demands are uncertain. Literature suggests that computational modeling in particular agent-based modeling can be used to investigate such non-linear processes. Agent based modeling starts with simple behavioral rules that develop into emergent system-level behaviors, and in that way controlled system level experiments are used to identify in an inductive way causal mechanisms that drive the system development. In this chapter’s simulation model, an agent decides to continue its R&D alliance based on its strategic and cooperation objectives. After evaluating if the strategic goals is met, firms can decide about the extent to which to continue the R&D alliances if the strategic goal is not met. This is called persistency. The model is aimed to explain developmental paths and patterns of the co-evolution of alliances and technology. Despite suggestions to investigate non-linear processes in the pre-market phase by using an agent-based model, agent-based models so far do not focus on the impact of alliance continuation on innovation performance over the path of technology development. In previous research these paths mainly have been investigated in case and cross sectional studies but not in an agent based model. A base-line model is developed and the extent to which it reflects reality is analyzed in order to improve the model’s performance.

Original languageEnglish
Title of host publicationModeling and Simulation Techniques for Improved Business Processes
EditorsMaryam Ebrahimi
PublisherIGI Global
Pages1-23
Number of pages23
ISBN (Electronic)9781522532279
ISBN (Print)9781522532262
DOIs
Publication statusPublished - 1 Jan 2018

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Innovation success
Alliances
Agent-based model
Market demand
Agent-based modeling
Nonlinear process
Innovation performance
Strategic goals
System development
Cross-sectional studies
Technology development
Uncertainty
Experiment
Coevolution
Nonlinearity
Simulation model
Computational modeling

Cite this

Manuhutu, Ari ; von Raesfeld Meijer, Ariane ; Geurts, Peter. / Innovation success over time of alliances with different strategic and cooperation objectives. Modeling and Simulation Techniques for Improved Business Processes. editor / Maryam Ebrahimi. IGI Global, 2018. pp. 1-23
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Innovation success over time of alliances with different strategic and cooperation objectives. / Manuhutu, Ari; von Raesfeld Meijer, Ariane; Geurts, Peter.

Modeling and Simulation Techniques for Improved Business Processes. ed. / Maryam Ebrahimi. IGI Global, 2018. p. 1-23.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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