Ansoff Strategic Posture and Firms’ Responses to Industry Norms under Environmental Turbulence

This dataset contains the final firm–year analytic panel used to examine how firms adjust their strategic posture relative to industry norms under conditions of environmental turbulence, drawing on Igor Ansoff’s Strategic Success Hypothesis (SSH). The unit of analysis is the firm–year. The dataset covers publicly listed technology firms, primarily listed on NASDAQ, observed over the period 2006–2015. It reports firms’ strategic distance from contemporaneous industry benchmarks and the year-to-year change in that distance, which constitutes the primary dependent variable in the empirical analyses. Industry norms are constructed at the industry–year level as peer means excluding the focal firm. Firm-level strategic posture measures reflect the alignment among environmental turbulence, strategic aggressiveness, and capability responsiveness, coded from publicly available and auditable disclosures (e.g., annual reports, 10-K filings, investor materials). Environmental turbulence is treated as exogenous at the industry–year level. Key variables include firms’ distance from the industry norm, absolute distance, lagged distance measures, and the change in absolute distance between consecutive years, capturing convergence toward or divergence from industry benchmarks. The dataset also includes identifiers necessary for panel estimation and lag construction. This file represents the final merged dataset used in all reported regressions, figures, and hypothesis tests. Intermediate construction files (e.g., firm-level coding sheets and industry benchmark tables) are not included to ensure clarity and reproducibility. The dataset allows independent replication of the empirical results reported in the associated study.