DOI: 10.1177/23792981261469871 ISSN: 2379-2981

Know Your Worth: Analyzing Salary Data and Generative AI Output

Mariya Gavrilova Aguilar, Sarah Holtzen, Bahar Javadizadeh, Jason Fertig, Shammi Gandhi, Steven A. Edelson, Lisa Brady Symmes

Many individuals view talking about pay as a taboo subject. Business students may lack the real-world experience needed to understand an appropriate starting salary given a candidate’s experience, responsibilities, and other compensable factors. Although resources that help students prepare for general on-the-job negotiations exist, these may fall short in effectively preparing students for the nuanced, data-driven, and context-specific salary research and evaluation process. Recent graduates may fail to recognize the importance of conducting robust preparation and evaluating salary data prior to compensation conversations. We share an in-class exercise for use with upper-division business undergraduates in compensation and benefits, career development, or other management courses where career preparation is discussed. We emphasize the importance of enhancing job search self-efficacy, offering a series of generative artificial intelligence (GenAI) prompts and reflection through which students gain firsthand experience in researching and evaluating a realistic salary for a specific job role.

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