2017
DOI: 10.1177/1094428117731879
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Historiometry in Organizational Science

Abstract: Historiometric analysis (HMA), an organized set of content analytic techniques, allows researchers to convert historical information into numeric data that are appropriate for complex statistical analyses and modeling. The HMA method has been present in the social sciences for more than a century, yet is largely absent from the management and organizational sciences literatures. In this article, we make the case for increased attention to HMA in organizational research, and describe research scenarios for whic… Show more

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Cited by 15 publications
(3 citation statements)
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“…Findings from Study 1 provide initial insight into the nature and potential resolution of the originality paradox, yet several critical questions remain. Specifically, although the use of historical (Crayne & Hunter, 2018), open‐source data allows for a more externally valid investigation of the originality paradox, several issues limit our ability to interpret the outcomes with the confidence we would prefer. As such, there are three limitations of Study 1 that were addressed in a second, laboratory‐based investigation (Podsakoff & Podsakoff, 2018).…”
Section: Studymentioning
confidence: 99%
“…Findings from Study 1 provide initial insight into the nature and potential resolution of the originality paradox, yet several critical questions remain. Specifically, although the use of historical (Crayne & Hunter, 2018), open‐source data allows for a more externally valid investigation of the originality paradox, several issues limit our ability to interpret the outcomes with the confidence we would prefer. As such, there are three limitations of Study 1 that were addressed in a second, laboratory‐based investigation (Podsakoff & Podsakoff, 2018).…”
Section: Studymentioning
confidence: 99%
“…This method is especially useful for exploring a relatively new research area, such as examining the dynamic nature of team roles in extreme environments, because it depends on data that were not explicitly collected for the research question of interest, thus limiting some bias. Further benefits of this approach include the contextual richness of the data and the corresponding external validity (Crayne and Hunter, 2018). Historiometry also enables the examination of complex constructs as expressed in behavior (e.g., team roles) during real situations, and the investigation of how such (team) constructs may differ depending on the type of situation (Antonakis et al, 2003).…”
Section: Methodsmentioning
confidence: 99%
“…Instead, each of the proposed pathways can lead to effective performance depending on the situation. This assertion is informed by historiometric research (see Crayne & Hunter, 2018) on historically prominent leaders, as well as experimental laboratory-based studies. Across these methods, research (see Lovelace et al, 2019 for review) has found that CIP sensemaking styles are identifiable in outstanding leaders across time periods, geographies, and industries.…”
Section: Sensemaking Leadership and Covid-19mentioning
confidence: 99%