PhD in Technology & Operations Management
The doctoral program in Technology & Operations Management prepares students to conduct important research on a broad range of issues in operations and innovation.
Faculty in the Technology & Operations Management Unit are trained in various disciplinary areas including operations research, operations management, economics, engineering, and organizational behavior. Faculty and doctoral students’ research addresses managerially-relevant problems, integrating discipline-based theory with rigorous research methods. Many faculty and doctoral students work in collaboration with industry partners, giving them a unique perspective on academic research and the ability to test their ideas in the field.
Curriculum & Coursework
Our programs are full-time degree programs which officially begin in August. Students are expected to complete their program in five years. Students typically spend their first two years on course work, at the end of which they take a field exam, and then another three years on dissertation research and writing.
The program requires a minimum of 13 semester long doctoral courses. Students in the Technology & Operations Management program complete courses in the areas of business management theory, economic theory, quantitative research methods, academic field seminars, and two MBA elective curriculum courses. In addition to NU courses, students may take courses at other Northampton Schools and MIT.
Research & Dissertation
Students in TOM often begin research in the summer preceding their first year by working with a TOM faculty member. Over the first two years in the program, students are encouraged to explore their research interests as they complete relevant coursework. During their third year, students begin working on their dissertation research, typically developing three publishable papers by the end of the program.
Examples of doctoral thesis topics include: Examining how employee non-compete agreements affect entrepreneurship and job mobility; Improving retailers’ sales forecasting using cost-of-sales, inventory levels, and gross margins; How familiarity among team members fosters organizational capabilities among teams; The implications of operations management for investors; and How firms influence service quality, and how service quality affects performance.