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Understanding the alliance data

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  • Melissa A. Schilling

Abstract

A considerable body of research utilizes large alliance databases (e.g., SDC, MERIT‐CATI, CORE, RECAP, and BIOSCAN) to study interorganizational relationships. Understanding the strengths and limitations of these databases is crucial for informing database selection and research design. In this study I conduct an analysis of five prominent alliance databases. Focusing on technology alliances (those formed for the purposes of joint research or cross‐technology transfer), I examine the databases' consistency of coverage and completeness, and assess whether different databases yield the same patterns in sectoral composition, temporal trends, and geographic patterns in alliance activity. I also replicate three previously published alliance studies to assess the impact of data limitations on research outcomes. The results suggest that the databases only report a fraction of formally announced alliances, which could have detrimental consequences for some types of research. However, the databases exhibit strong symmetries in patterns of sectoral composition, alliance activity over time, and geographic participation. Furthermore, the replications of previous studies yielded results that were highly similar to those obtained in the original studies. This study thus provides some reassurance that even though the databases only capture a sample of alliance activity, they may yield reliable results for many—if not all—research purposes. This information should help researchers make better‐informed decisions about their choice of database and research design. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Melissa A. Schilling, 2009. "Understanding the alliance data," Strategic Management Journal, Wiley Blackwell, vol. 30(3), pages 233-260, March.
    • Handle: RePEc:bla:stratm:v:30:y:2009:i:3:p:233-260
    DOI: 10.1002/smj.731
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