Back
Texte intégral
Journal article

A Model of Response Strategies in Strategic Alliances : A PLS Analysis of a Circumplex Structure

Université de Fribourg

    2012
Published in:
  • Long Range Planning. - 2012, vol. 45, no. 5-6, p. 424-450
Marketing channel relationship
Job-satsifaction
Equation models
Voice
Performance
Impact
Variables
Loyalty
Neglect
Exit
English The few studies investigating partners’ response behavior in strategic alliances often fail to provide empirical support for a large proportion of the relationships they hypothesized. This discrepancy between theory and empirical findings could be attributed to a misconceptualization of response strategies as independent from each other. Indeed, response strategies could be better conceptualized as a circumplex structure rather than as discrete responses. Whereas the circumplex structure of response strategies has been empirically established, it has not yet been taken into account when detecting the effects of potential antecedents on response strategies. A model that accounts for the circumplex structure thus should exhibit superior explanatory power by reducing Type II error. PLS pathmodeling is particularly suited to substantiate the superiority of such a model, however PLS path modeling as implemented in extant software is not equipped to estimate circumplex structures. Therefore, the objective of the present study is twofold. First, we extend PLS path modeling so that it can handle circumplex structures. Second, building on a circumplex structure of response strategies, we develop and test a model of alliance partners’ response strategies and key antecedents. The results of a survey of alliance managers corroborate our expectations and demonstrate that non-significant antecedents become significant when accounting for the circumplex structure. This study thus advances PLS path modeling and contributes to a better understanding of managers’ complex decision-making processes in strategic alliances.
Faculty
Faculté des sciences économiques et sociales et du management
Department
Département des sciences du Management
Language
  • English
Classification
Social sciences
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/global/documents/303872
Statistics
Document views: 90 File downloads:
  • 2012_furrer_et_al_long_range_planning.pdf: 140