Business performance is determined not only by competitive forces within an industry but also by political, social, economic and technological factors that operate at local and global levels. Understanding the impact of these forces on firms can determine their ability to gain a competitive advantage through improved strategic planning on multiple dimensions.
The Business, Economics and Public Policy (BEPP) group consists of faculty who research business economics and public policy relevant to managers. BEPP faculty conduct research at the nexus of managerial economics, political economy and business strategy. Areas of research focus include regulation, energy and environment, stakeholder management, non-market strategy, political and regulatory risk, and emerging markets.
*Please note that BEPP is a stream under General Management
Areas of Research Focus
- Energy and environment
- Stakeholder management
- Non-market strategy
- Political and regulatory risk
- Emerging markets
Faculty research is regularly published in the top strategy and economics journals, including the Academy of Management Journal, Academy of Management Review, Administrative Science Quarterly, AEJ: Applied Economics,California Management Review, Harvard Business Review, Journal of International Business Studies, Journal of Law, Economics and Organization, and Strategic Management Journal.
The doctoral program in BEPP is designed for those interested in pursuing academic careers in top business schools, either within Strategy or Business Economics departments. The program integrates core areas of study in economics, including industrial organization, managerial economics and political economy, with study in management fields. Typical courses in the first two years are listed below.
Students have program requirements, put into place by the PhD office, and discipline requirements, which are governed by the student’s respective area group. On a case by case basis, some students may be able to waive out of particular required courses or substitute others. Such a course of action must be approved by the PhD director
All PhD students must complete the following requirements.
- Attend “stats boot camp” (end of August at start of Year 1).
- Pass 9702 Multivariate Analysis in Year 1.
- Pass 9712 Special Topics in Statistics before end of Year 2.
*The content of this course varies by year. Students are encouraged to take the course twice.
- Pass 9704 Research Methods in Year 1.
- Earn 80% or more on 9723 Summer Research Paper before start of Year 2 - Direct Entry Admissions only (i.e. admitted with only an undergraduate degree)
- Pass at least two PhD-level courses outside of Ivey before the end of Year 2 or before taking comprehensive exams, whichever is first. It is strongly recommended that at least one of these courses is an econometrics course.
- Shadow an Ivey professor for an entire undergraduate or MBA course. The associated professor must agree to make this a learning experience for the student (e.g. have conversations about pedagogy, be available for questions about curriculum etc.) and to provide written confirmation to the PhD office of attendance; OR
- Complete at least 20 hours of courses, workshops etc. at Western’s Teaching Centre.
*In consultation with the student, the respective PhD coordinator shall determine which option better suits the student's needs.
To be completed before the comprehensive exam unless otherwise noted.
- 9770 Business Strategy I (0.5 units)
- 9771 Business Strategy II (0.5 units)
- 9826 (OB) Organizational Theory (0.5 units)
- Two of the following GM field courses (1 unit total):
- For the elective courses, students are required to take 1 unit of rigorous, graduate-level methods courses (e.g., econometrics) and 1 additional unit of other graduate-level electives (e.g., other GM fields courses, courses from other area groups or courses from main campus). The goal is to have students take a minimum of four courses a semester. Students should consult their PhD coordinator to help select these additional courses. All students should take rigorous quantitative methods to assure success on the methods portion of their comprehensive exams. To a certain extent, coursework may be customized to particular student needs and skills on a case-by-case basis in consultation with the respective GM PhD coordinator.
These milestones are designed to ensure students make forward progress. A student who does not achieve these milestones within the required timeline may have their funding partially or fully cut or be withdrawn from the program.
This exam will be completed within 22 months of entering the program (normally written between June 1 and July 15 of Year 2). If the student fails this exam, he or she has up to one year to retake the exam. A second failure will result in being withdrawn from the program.
A student will chose a supervisor within one month of passing the comprehensive exam and will communicate the choice in writing to both the PhD coordinator and the PhD office, copying the supervisor.
Between passing comps and sitting the Thesis Proposal Exam (below), the student must form a Thesis Supervisory Committee (commonly referred to as the Proposal Committee). This committee consists of a supervisor and at least two additional faculty members who may or may not be in the student's program. Each must have SGPS membership and a majority of this committee must be composed of faculty who have doctoral-level membership with SGPS. The members of this committee must be confirmed by Dec. 31 of Year 3 (or no more than 6 months from passing comps, whichever is first). The names of this committee are to be forwarded to the PhD office. This committee “assists in the development of the candidate's research plan and thesis proposal, provides advice and criticism on the planning and writing of the thesis…” (more)
This exam is sometimes referred to as the proposal defence. Students must pass this exam within 12 months of passing the comprehensive exam. There may be no less than three months between passing the Thesis Proposal Exam and sitting for the Thesis Exam (below).