Capturing and analyzing rich sets of qualitative (descriptive, non-numerical) data is typically required to investigate complex business cases, from discovering opportunities for innovation to identifying root causes of business problems. While quantitative business data is increasingly available, qualitative data is often the source of the deeper understanding needed for exploring, explaining, and developing theories for complex socio-technical business environments that dominate our digital economy. This course focuses on methods for collecting and analyzing qualitative research data with the purpose of enabling students to make the novel discoveries that characterize PhD research in business. Students will become familiar with methods for collecting (e.g., interviews and focus groups) and analyzing (e.g., coding techniques and case study analysis methods), as well as the software packages that aid in qualitative data organization and analyses. They will understand which collection, coding, and analysis techniques to use in which situations, how to interpret results, and how data collection and analysis methods affect research results. These skills are critical for understanding how business can contribute to solving the large, societal problems within and across disciplines and industries.
Admission to the Business School PhD program or to another WPI PhD program, BUS 631 or equivalent knowledge.