The field of Management is a heavily data-driven discipline, however undergraduate students are often introduced to certain Management topics, such as Leadership, Organizational Behavior and Human Resource Management, without making the connection that data analytics has driven theory and concept development in these fields (Carillo, 2017). Further, many Management degree programs lack foundational courses in research methods and data analytics that would better prepare Management students for understanding how they might identify their data needs, engage in data collection, analyze data and synthesize the results to be used in Management decision-making (Wixom et al., 2011). Therefore, in order for Management students to be well-prepared for their future roles in business, data analytics should be embedded in a diverse range of courses that span Management topics so that students recognize that even the seemingly more qualitative management disciplines are driven by data and measurement (Ramakrishna, Sarkar & Vijayaraman, 2022). The hands-on activity introduced in this session is intended to expose undergraduate Management students to the research and data analytics processes that drive Management theory and decision making. The activity is ideally run across two 75-minute class session and involves: (1) identification of a data need, (2) survey development and administration, (3) data cleaning, (4) data analysis (using Excel), and (5) presenting research findings that lead to decision-making. During the proposed 45-minute session participants will engage in an accelerated version of the activity. All survey, data and worksheet materials will be provided to session participants in a shared drive.
This session is part of the Teaching and Learning Conference (TLC@AOM). Space is limited; separate complimentary TLC@AOM pre-registration on a first-come, first-served basis is required. The TLC@AOM registration deadline is 27 July 2025, unless sold out. Register for TLC@AOM.
