Innovation Success Over Time of Alliances With Different Strategic and Cooperation Objectives

Innovation Success Over Time of Alliances With Different Strategic and Cooperation Objectives

Khrisna Ariyanto Manuhutu (University of Twente, The Netherlands), Ariane von Raesfeld (University of Twente, The Netherlands) and Peter Geurts (University of Twente, The Netherlands)
Copyright: © 2018 |Pages: 23
DOI: 10.4018/978-1-5225-3226-2.ch001


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.
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Theory And Hypotheses

The impact of alliance continuation on innovation performance will be investigated. The focus on stages of technology development originates from the findings of Gilsing & Nooteboom (2006) and Hoffman (2007) about the dynamics in alliance characteristics in these stages.

Gilsing & Nooteboom (2006) investigated network characteristics in the different stages of technology development. They presented the dynamics of the characteristics (Table 1). Among these characteristics there are some aspects that are related to alliance continuation, e.g. loose vs. formal alliances; flexible vs. formal ties; short vs. long term alliance duration. They show that in the exploration stage firms tend to establish loose and flexible alliances for a short duration. Opposite to the exploitation stage where firms tend to establish formal durable alliances.

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