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The purpose of this paper is to develop a meta-model that systematically aggregates and organizes research on “partner selection” in interorganizational relationships (IORs), which is scattered across several disciplines, to help future researchers explore various aspects of this control mechanism in a more consistent manner. This paper also aims at critically reviewing each aspect of this control mechanism examined in the prior literature and identifying important research trends.Design/methodology/approachThis paper conducts a comprehensive review and in-depth analysis of the key theoretical and empirical research findings on partner selection in IORs by identifying 172 papers across 46 journals that specifically discuss this control mechanism. A meta-model approach is adopted to review and identify the shortcomings in extant research and provide guidance to future researchers on exploring unanswered research questions. Moreover, maps are constructed using the Luft and Shields’s (2003) approach to graphically present the causal-model forms examined in this topic area.FindingsThis meta-model shows how the research on partner selection in IORs is scattered across different disciplines, resulting in its inconsistent evolution with researchers, in many cases, not being able to effectively synthesize contributions from fields that are not their own or not closely allied. The causal-model forms also enable rapid tracing of what has been researched.Originality/valueThere has been considerable research on control mechanisms in IORs till date. However, “partner selection,” which is an important control mechanism, has received little attention and is often neglected. To the best of the author’s knowledge, this paper is the first to develop a meta-model to consolidate knowledge on this topic that is important for further advancement of research.
Journal of Accounting & Organizational Change – Emerald Publishing
Published: Mar 21, 2023
Keywords: Partner selection; Partner experience; Control problems; Control mechanisms; Interorganizational relationships; Meta-model
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