Jennifer Chatman, Professor

Closed (1) Leadership, Organizational Culture, and Diversity in Work Groups and Organizations

Applications for fall 2021 are now closed for this project.

Professor Jennifer Chatman’s lab works on a variety of questions at the intersection of organizational behavior, social and personality psychology, and firm strategy, and uses a mixture of behavioral lab experiments and field and archival research to answer these questions.

Some current topics under investigation include:
- What can data from Glassdoor and LinkedIn tell us about how diverse employees experience a firm’s culture?
- What role does person perception and bias play in an organization’s ability to respond to shifting priorities?
- What impact do narcissistic leaders have on their teams?
- How does the emotion of awe influence how people interact in the workplace?
- How does national culture intersect with organizational culture, and what impact does this have on firm performance?
- How do underlying norms shape how people conduct business and interact with one another in an organization?

In your application, please indicate which of these questions interests you most and why.

This project will be overseen by Professor Jennifer Chatman. Professor Chatman is an expert on topics such as culture, social norms, and diversity in teams. URAPs will be supervised on a day-to-day basis by Anna Yan (Professor Chatman’s Lab Manager) and by Haas PhD students Sonya Mishra, Andrew Choi, and Derek Brown. Some URAPs may have the opportunity to work more closely with Professor Chatman on research support activities and other projects, depending on their performance.

The URAP’s role could include conducting literature reviews in the topic areas, help with research design, running experiments in XLab and the Haas Behavioral Lab, collecting survey data, coding and analyzing survey and experimental data, preparing archival data for analyses, and even helping to develop publishable research papers.

Day-to-day supervisor for this project: Anna Yan, Staff Researcher

Qualifications: Required qualifications: - Students must be excellent communicators, able to collaborate well with others, hard-working, organized, detail-oriented, and responsible. - We are interested in recruiting diverse students of all academic backgrounds who demonstrate an interest in the subject matter. Desired qualifications (not required): - Proficiency with Microsoft Excel - Experience with statistical analysis and tools such as R or SPSS - Experience with programming related to large data sets (especially using Python) - Experience with survey design (especially using Qualtrics).

Weekly Hours: 6-8 hrs

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