We report the results of a survey of the business school academic marketing community conducted in 2019. The goal of the survey was to understand how the organizational climate varied as a function of a variety of demographic descriptors within this field. We provide results for the four sections of the survey—general experience, explicit discrimination, implicit bias, and social and sexual harassment/assault—in an interactive data visualization tool (found here: http://jeffgalak.com/climatesurvey/). In addition, we highlight several key results, notably that females and underrepresented minority (URM) respondents overwhelmingly face a less favorable organizational climate within academic marketing as compared to their male and Asian or White counterparts. We conclude with recommendations that derive directly from the results of the climate survey.
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All materials are freely available on the first author’s website (http://www.jeffgalak.com/climatesurvey). As reported in the manuscript, due to the sensitive nature of the data, they will not be made available. That said, the interactive visualization that is referenced in this manuscript allows readers to parse the data from the climate survey while maintaining anonymity of respondents.
No code was used to compile results. Rather, GUI-based menus within SPSS were employed.
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The authors would like to thank Linda Babcock, Rosalind Chow, and Donna Hoffman, for their feedback on the climate survey instrument. The authors would like to further thank Susan Fournier, Stefanie Johnson, and Punam Keller for their participation in a panel discussion at the 2019 Annual Meeting of the Association for Consumer Research regarding preliminary results of this climate survey.
The Wharton School at the University of Pennsylvania underwrote some travel expenses for a workshop at the 2019 ACR Annual Conference which featured these data. They also provided funds to hire the programmer who put together the interactive visualization provided herein.
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Galak, J., Kahn, B.E. 2019 Academic Marketing Climate Survey: motivation, results, and recommendations. Mark Lett (2021). https://doi.org/10.1007/s11002-021-09569-5
- Climate survey