The PhD Program currently offers specialization in the following four major areas:
The field of Management and Organization is typically considered as comprising a division between a more macro orientation geared towards studying organizations and their higher level aggregates as well as the more micro-level concerns focusing on individual and group behavior within organizations. The Management and Organization specialization within the PhD program at Sabancı University can accommodate students who wish to pursue any one of these lines of research as well as those who may wish to seek ways to integrate the two.
The curriculum of the Management and Organization program firstly provides a strong background in conducting scholarly research. Building on this, students then take courses that specifically focus on organization theory, strategic management, organizational behavior and cross-cultural psychology. Students are then provided with the opportunity, through elective courses, to pursue their specific interests and develop a research agenda to be examined during dissertation work.
Business Analytics and Operations Management is a field that has emerged from the need of explicitly addressing the decision-making issues that managers confront regarding the operations function of their organizations. With its continuously evolving nature, and especially with the increasing presence of Big Data in our lives and the endless possibilities to make humanitarian and commercial use of it through data-driven business decision-making, it has expanded from its foundations to include a wide array of subjects such as operations and manufacturing strategy, service operations, pricing, as well as supply chain design and management.
The Business Analytics and Operations Management PhD program offers full scholarship to candidates with excellent prior academic performance. The curriculum has been designed so that the students are exposed not only to traditional research foundations rooted in quantitative methods and statistics, but also to research methodologies from other management disciplines such as organization studies. Given this perspective, students are then provided with the opportunity to focus on their specific interests and develop a research agenda to be examined during their dissertation work. The flexibility of choosing a curriculum with cross-discipline courses not only increases the variety of academic exposure in this field, but also prepares our students in the most extensive and effective ways for their future careers.
The PhD specialization in Finance emphasizes rigorous analytical training and prepares students to pursue careers either in the academia or in the financial industry. Research in the field of finance generally starts with economic models. The chief goal is then to explore important questions faced by the industry using these models.
Typically, these problems are concerned with the management and the allocation of capital, risk, and rewards in the economy.
The curriculum stresses financial theory as well as tools widely used in academic research as well as in the financial industry. In particular, empirical work widely uses the tools of financial econometrics. Mathematical tools are also important as they provide efficient tools to understand complex models that reflect, as closely as possible, the important features of the market.
Action Research (AR) is a methodology that uses '' developing and creating together '' for the desired future, which serves the common good of all stakeholders. Action research aims to advance the inquiry and provide immediate benefit to the field, to develop practical and pragmatic action knowledge, and to express new knowledge that will help us understand transformation processes and patterns. Knowledge creation in action research works on at least three levels: first-person, second-person, and third-person research. By engaging the researcher into the first-person research, the AR improves the researcher's reflection and interpretation capacity, and with the researcher's involvement in second-person research, the AR researchers develop team interventions, teamwork, and interpersonal knowledge. At the third level, the EA helps to connect to major institutional changes. Real-time participation in an ongoing transformation project is essential for the practice of co-generating knowledge at all levels. Therefore, by its very nature, it is a common productive, participatory and collaborative process in which change processes are triggered and managed for the ends of research and action.