Research involving interorganizational relationships (IORs) has grown at an impressive rate. Several datasets have been used to understand the nature and performance implications of these relationships. Given the importance of such relationships, we describe a relatively new dataset, Bloomberg SPLC, which contains data regarding the percentage of costs and revenues attributed to suppliers and customers, as well as allows researchers to construct a comprehensive dataset of IORs of buyer–supplier networks. Because of this, Bloomberg SPLC data can be used to uncover new and exciting theoretical and empirical implications. This chapter provides background information about this dataset, guidance on how it can be leveraged, and new theoretical terrain that can be charted to better understand IORs.
Beorchia, A. and Crook, T.R. (2020), "Bloomberg Supply Chain Analysis: A Data Source for Investigating the Nature, Size, and Structure of Interorganizational Relationships", Crook, T.R., Lê, J. and Smith, A.D. (Ed.) Advancing Methodological Thought and Practice (Research Methodology in Strategy and Management, Vol. 12), Emerald Publishing Limited, Bingley, pp. 73-100. https://doi.org/10.1108/S1479-838720200000012017
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