Computer-aided text analysis (CATA) offers great promise for scholars who aspire to capture the beliefs, cognitions, and emotions of individuals as reflected in their narratives and written texts. We review advancements in the use of CATA in organizational studies and highlight the increased momentum towards incorporating rigor when using CATA. We review key CATA software and note the variance in possibilities of approaches when extracting meaning from languages. We then outline the potential for this technique to build knowledge surrounding organizational psychology and organizational behavior. Specifically, we highlight specific research streams that might benefit from the use of CATA and highlight cross-cultural perspectives that might further advance the use of this technique.

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Drawing from a framework highlighting how family influence is reflected in organizational identity, we present archival and content analytic adaptations for three key factors signifying alignment between family and organizational identities: family visibility, transgenerational sustainability, and family self-enhancement. We validate these measures using archival data sources, “About Us” pages, and shareholder letters from S&P 500 firms. Random coefficients modeling indicates our measures are largely shaped by temporal and firm, followed by industry, differences. Our work paves the way for further investigation exploring the relationships between family involvement and organizational identity while simultaneously addressing lingering methodological challenges in family business research.

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