Quantitative empirical analysis in strategic management

Published

Journal Article (Review)

Strategic Management Journal 2014 discusses quantitative empirical analysis in strategic management. One of the trademark of strategic management research is the use of unique data; attention paid during data collection to potential pitfalls in empirical estimation can pay off later by enabling simpler or more robust analyses. Decisions regarding which archival and survey data to collect or obtain access to can benefit from an understanding of subsequent empirical issues that such data may present. Beyond the presentation of facts, good data enable the use of simpler statistical approaches, such as comparisons of means and medians and other relatively simple parametric and non-parametric statistics. Regression analysis is required in order to assess the role of specific variables while holding other variables constant. Sample selection correction can help to control for bias due to a nonrandom sample, generally using two-stage estimation.

Full Text

Duke Authors

Cited Authors

  • Bettis, R; Gambardella, A; Helfat, C; Mitchell, W

Published Date

  • January 1, 2014

Published In

Volume / Issue

  • 35 / 7

Start / End Page

  • 949 - 953

Electronic International Standard Serial Number (EISSN)

  • 1097-0266

International Standard Serial Number (ISSN)

  • 0143-2095

Digital Object Identifier (DOI)

  • 10.1002/smj.2278

Citation Source

  • Scopus