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Capturing relatedness : comprehensive measures based on secondary data

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Nocker, Elisabeth, Bowen, Harry P., Stadler, Christian and Matzler, Kurt (2016) Capturing relatedness : comprehensive measures based on secondary data. British Journal of Management, 27 (1). pp. 197-213. doi:10.1111/1467-8551.12124

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Official URL: http://dx.doi.org/10.1111/1467-8551.12124

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Abstract

This paper presents new measures of technological and customer-side relatedness constructed from widely available secondary data. Relatedness is a concept central to predicting the existence and nature of a relationship between corporate diversification and firm performance. Yet, finding appropriate measures has been an ongoing struggle. The widely used SIC-based entropy measure has low construct validity, and survey-based measures are hard to replicate across firms and industries and over time. The measures we develop significantly outperform established measures in explaining variation in firm performance across firms and over time, and both sources of relatedness are found to be independent and significant explanations of firm performance.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Warwick Business School > Strategy & International Business
Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: British Journal of Management
ISSN: 1045-3172
Official Date: January 2016
Dates:
DateEvent
January 2016Published
19 August 2015Available
2015Accepted
Volume: 27
Number: 1
Page Range: pp. 197-213
DOI: 10.1111/1467-8551.12124
Status: Peer Reviewed
Publication Status: Published

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