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Applying individual-level constructs to higher levels of analysis can be a fruitful practice in organizational research. Although this practice is beneficial in developing and testing theory, there are measurement and validation concerns that, if improperly addressed, may threaten the validity and utility of the research. This article illustrates how computer-aided text analysis might be utilized to facilitate construct elevation while ensuring proper validation. Specifically, we apply a framework to develop organizational-level operationalizations of individual-level constructs using the psychological capital construct as an example.

Computer-aided text analysis (CATA) is a form of content analysis that enables the measurement of constructs by processing text into quantitative data based on the frequency of words. CATA has been proposed as a useful measurement approach with the potential to lead to important theoretical advancements. Ironically, while CATA has been offered to overcome some of the known deficiencies in existing measurement approaches, we have lagged behind in regard to assessing the technique’s measurement rigor. Our article addresses this knowledge gap and describes important implications for past as well as future research using CATA. First, we describe three sources of measurement error variance that are particularly relevant to studies using CATA: transient error, specific factor error, and algorithm error. Second, we describe and demonstrate how to calculate measurement error variance with the entrepreneurial orientation, market orientation, and organizational ambidexterity constructs, offering evidence that past substantive conclusions have been underestimated. Third, we offer best-practice recommendations and demonstrate how to reduce measurement error variance by refining existing CATA measures. In short, we demonstrate that although measurement error variance in CATA has not been measured thus far, it does exist and it affects substantive conclusions. Consequently, our article has implications for theory and practice, as well as how to assess and minimize measurement error in future CATA research with the goal of improving the accuracy of substantive conclusions.

Crowdfunding is a rapidly growing phenomenon wherein entrepreneurs seek funding for their entrepreneurial activities from a potentially large audience of interested individuals. Crowdfunding has exploded in popularity over the last decade and now accounts for tens of billions of dollars annually. But despite the importance and growth of crowdfunding, little scholarly knowledge exists about the topic. To address this gap, this special issue includes five articles that each advance knowledge about crowdfunding in important ways. We briefly review past work on crowdfunding in leading entrepreneurship and management journals. We then highlight the diverse contributions offered in the special issue articles.