The Ph.D. program’s mission is to educate students from across the globe who aspire to become scholars and make new contributions to management. We bring together our first-class faculty and cutting-edge research methods in an immersive, exciting study environment where the next generation of management scholars can refine their expertise. Our Ph.D. program combines highly relevant and structured training in the first two years with close mentorship from supervisors to help students cultivate their research skills for pioneering interdisciplinary social science research. With our Istanbul location, ample funding opportunities (including a fee waiver and stipend), and powerful commitment, we are dedicated to supporting and stimulating our doctoral students in a multicultural environment to realize their full potential.
While the Ph.D. program provides solid training in the theory and methods of various management fields, it also allows the students to apply the theory to practice. Besides rigorous course work covering strategic management, organizational theory, behavior, and operations management, students gain hands-on experience in the research process by working with faculty members on research projects from the early stages of their studies. In this respect, we conduct interdisciplinary social science research that profoundly impacts how the world does business. Thus, the program offers students a highly stimulating learning environment to be influential in the future of management.
Prof. Ümit Hacıoğlu
Our Ph.D. students receive sophisticated training in the latest research methods, enabling them to pursue productive academic careers. Their training consists of two parts: coursework to provide them with the required research skills and the existing body of knowledge and a closely supervised thesis. The program runs on a full-time basis in English. During the coursework stage, students are required to take four core and four elective courses (in a total of 24 credits) in different management fields, including strategy, organizational behavior, finance, marketing, operations, information systems, and entrepreneurship. Having successfully defended their thesis and following the completion of any required amendments, they are awarded a Ph.D. degree.
Visit Ph. D. programs application requirements page.
Visit the department page for teaching staff.
The purpose of this course is to expose doctoral students to various cutting-edge research in business management to help them define and advance their research interests. This course offers an in-depth discussion of essential topics in business research by experts in respective areas; exposure to tools and methodologies required for researching those areas; exposure to various business faculty, research styles, and presentation styles; the opportunity to experience ongoing research being presented and discussed, rather than just sharing finished-and-polished research products through manuscripts or publications. The format is that of a seminar or workshop, discussing ongoing and other yet unpublished research. The focus of each seminar is a research presentation by a different faculty member at Ibn Haldun School of Business or another academic/research institution.
This course provides an introduction to the social and behavioral sciences research process as applied to business administration research. It is designed for doctoral students who intend to conduct empirical research in scholarly journals. The objective of the course is to help students gain competence in initiating and conducting empirical studies in the different applied areas of business management. We will draw on applied research with disciplinary foundations in business, psychology, and sociology. The course is designed so that, in their areas, students will learn how to proceed from having a fundamental research question to a testable research design and methodology. The course will offer broad exposure to research methods in diverse areas such as organizational management, strategy, finance, marketing, international business, and supply chain management. Topics covered include theory development, selection and framing of research questions, measurement development, reliability, validity, relevant statistical techniques, and a research paper's writing and publication process. Although some basic knowledge of statistics would help understand the above topics, this introductory course does not require advanced knowledge of statistical techniques.
This follow-up course aims to develop knowledge and understanding of scientific research methods and to provide skills to design and accomplish a research project, perform analyses using qualitative and quantitative research methods, and communicate the results. Furthermore, the students should be able to reflect on research outcomes based on methodological and philosophical approaches.
This course is designed to give doctoral students in business management, organization, and related disciplines a broad overview of evolutionary theories of management and organization. One of the key objectives is to learn how to construct a sound evolutionary argument in the social sciences. The main focus of the course is, then, on a critical and analytical review of the history of management theory. Students are encouraged to compare and contrast management theories and to examine them in the essential light of practical experience. A central skill of a good scholar is to write well. Therefore, the course will pay a lot of attention to how successful scholars craft their arguments and present them in written form. In addition, a major emphasis will be placed on the development of dissertation-supporting literature-review skills of students through the preparation of literature research papers.
This course is designed to provide doctoral students with a comprehensive understanding of strategy, including its foundational theory, research, and implementation. Strategic management starts with a central question of why some firms are more profitable than others. Then, based on the assumption that strategic challenge creates a fit between the organization and its environment, the course discusses the significance of goals and values, resources and capabilities, and structure and system and explores market forces, including competitors, customers, and suppliers. It includes measuring and responding to industry attractiveness at the corporate level and building a sustainable competitive advantage at the business level. Because of the applied nature of strategic management, theoretical foundation, empirical research, and case studies from real business life walk arm in arm. The topics include the market- and the resource-based view of the firm, balanced scorecard, sources of competitive advantage, diversification and vertical integration, technology-based industries, global strategies, and multinationals. For each section, besides an article accepted as a pioneer of the field, cutting-edge approaches and successful strategy implementations from different industries are introduced.
This course will start with defining the main topics of macroeconomics within the framework of different economic schools and then continue with endogenous growth models such as Solow. Afterward, such issues as dynamic aggregate demand and aggregate supply, IS-LM models, monetary and fiscal policies, investment and consumption decisions, and macroeconomic decisions in open economies will be explained in more detail in terms of the functioning of money and foreign exchange markets and methods of struggling against inflation in an open economy.
This course aims to provide students the ability to command the basic concepts, theories, and applications of microeconomics and to apply this knowledge to practical problems. For this purpose, first of all, consumer theories, demand theory, production theory, and uncertainty will be discussed under the topic of individual decisions. Next, the course will examine issues such as information asymmetry, reverse selection, and the principal-agent problems that allow the markets to operate effectively. Finally, continuing with game theory, this course will end with an analysis of Pareto optimality, Walrasian equilibrium, and general equilibrium.
The primary objective is to survey some of the major theoretical perspectives and issues studied in organization theory research, including classic and contemporary scholarship and theoretical and empirical contributions. One goal is to provide students with the opportunity to gain a solid background in the field, such that it will inform and enrich their research, whether or not they become organization theorists. A second goal is to support students in drafting a paper that incorporates one or more of the topics covered in class with their research interests and to help them learn hands-on about review and revision processes.
This doctoral course provides an in-depth overview of the evolution of MNEs and reviews the major theoretical approaches and empirical literature in MNE activity. One key objective is exposing candidates to core academic concepts in international business research. These analysis strands include market power, internalization, resource-based theory, eclectic paradigm, and institutional perspective. Drawing upon this theoretical background, the course then reviews the key areas of recent research focus. These new research issues comprise the pattern and location of foreign direct investment (FDI)/MNE activity in international business, the strategy and organization of MNEs, cross-border alliances, mergers, and acquisitions. The course also involves an analysis of the evolving MNE environment and an assessment of methodological design's role and future new directions in international business research.
This course is designed to focus on particular topics of interest to those students who have a reasonable level of familiarity with the primary areas of organizational behavior. We shall explore individual, interpersonal, and group processes in work organizations by drawing on theory and research in psychology, social psychology, and organizational behavior. Our emphasis will be on the development of theory and research. Students must read the required readings before class and spend some time thinking about the research implications of the tasks individually and as a group. These readings will be used to understand the critical perspectives and approaches in the field, not just as a set of findings to be digested or summarized. The class will also explore more current research topics in organizational behavior published in top-tier journals.
In the last decade, hot topics in finance have been reshaping and redesigning the boundaries of modern finance. Therefore, any critical decisions for investment or financing activities require a detailed understanding of this new transformational and innovative change in the financial services industry. Traditional finance schools argue that economic environment boundaries only react based on resource and allocation issues. On the contrary, new schools in finance blend investment strategies with new theories and practices through a risk management perspective to Behavioral Finance. Moreover, the challenging issues in a digital business ecosystem target modern finance theories today with new ideas and techniques.
Additionally, the level of digitalization in the financial services industry brings some opportunities and threats which have not been experienced yet. For instance, the decentralized economic structure within a blockchain ecosystem seems to reshape the fundamental understanding of the primary resource allocation problem. Billions of dollars are today transferrable from wallet to wallet in the blockchain using several technologies and methods such as SegWit (Segregated Witness). Notwithstanding this, the highest level of confidence and intimacy at the lowest cost are the main advantages of using crypto assets for many actors in the financial system. Transactions are made within minutes without any participatory or regulatory intermediaries. Apart from the benefits of using blockchain technologies in modern finance, there are many hot topics, including digital transformation, crypto asset management, crowd sales of the token with ICOs, cybersecurity, value creation, sharing economies, black factories, industry 4.0, mining, carbon finance, and AI. This course aims to develop a comprehensive understanding of current issues in finance from a holistic perspective. It also aims to transfer elaborate skills and talents to our participants from the theory and practices of traditional and modern finance in this challenging and transforming financial environment.
The course provides the conceptual foundations of the marketing discipline and introduces students to the development of research ideas in the different areas of marketing. It has three specific goals: raising the epistemology of causal modeling in marketing, understanding the different approaches to research in marketing, and stimulating the conceptual development of research proposals.
This course will cover topics such as efficient market hypothesis, portfolio theory, portfolio construction techniques, principles of portfolio diversification, risk-return optimization, capital asset pricing model, arbitrage pricing model, information asymmetry, and behavioral finance. In addition, the development and structure of the capital markets and instruments will be introduced together with the factors to be considered when investing in international markets.
This course will cover both theoretical and empirical aspects of the subjects such as firm valuation, issues related to mergers and acquisitions, optimal capital structure, methods for investment evaluation, project finance, real options, different borrowing methods, dividend policy, opportunities provided by capital markets, factors to be considered when valuing capital market instruments, corporate governance, and sustainability.
Modern Islamic finance institutions and instruments have developed significantly as an alternative financing method in recent years. In this course, special topics in Islamic finance, such as Islamic banking, capital market institutions and instruments, Islamic insurance, microfinance, crowdfunding, indexation, governance, and compliance with Islamic principles, will be covered. The students will be provided with the opportunity to make theoretical as well empirical readings and research on those topics.
Under the context of financial globalization, this course will analyze the structure and operation of the international financial system. In this respect, the global monetary system, international securities, foreign exchange markets, international fund flows, and risks that may be faced in international financial markets will be covered. Moreover, derivative instruments, pricing of futures and options, sensitivity measures of the parameters affecting the price of the derivatives (the Greeks), utilization of derivatives for hedging purposes, risk mitigation, and arbitrage strategies in organized as well as over-the-counter markets are to be introduced.
This course is designed to introduce the following topics to students: (i) Approaches to big data opportunities and managerial decision making with the help of big data analysis, and (ii) Business analytics models and approaches.
The course starts with the theoretical background of big data and business analytics that provides managerial insight supporting decision-making procedures in organizations. At the same time, widely-used practical techniques, methodologies, and examples are compiled to introduce techniques and tools necessary for organizational adjustments and investments. The course will not be focusing on the engineering / mathematical background of business analytics approaches. However, it will provide a basic understanding of these methods and will demonstrate their practical use in decision-making processes. This course is expected to be useful for students who are just getting acquainted with information systems and programming, or those who are not familiar with programming but have experience in excel spreadsheets.
The objectives of the course are: to provide participants with an understanding of the key concepts of technology and innovation, their relationship with economics and with the organizational environment, and their overall impact on management and organizations; equip participants with the conceptual frameworks and analytical tools needed to research themes and topics of the innovation and technology management field; expose participants to a hybrid set of methods to understand the wide array of approaches to research in the field of innovation and technology management.
Operations and Supply Chain Management (OSCM) is at the heart of daily activities and strategic decisions intended to create value for the firm at each stage of the supply chain. Accordingly, the course focuses on contemporary topics in operations management, process design, supply chain management, and logistics network design. It covers recent analytical approaches in the operation and supply chain domain as well as their managerial aspects. The core topics include, but not be limited to, issues such as Planning and control of operational activities infirm; new concepts on design and analysis of production lines; application examples of lean philosophy in the production and service sector; design of sustainable supply chains taking care of environmental aspects with a focal point on reverse logistics; recent approaches to model and solve location analysis; and capacity planning and logistics network design problems.
This doctoral course consists of a basic introduction to data structures and algorithms, big data analytics, distributed computing, and blockchain technology concepts. Analyzing and comparing different algorithms to choose the most effective algorithm for the problem is very crucial. Therefore, students must study the most useful fundamental algorithms and analyze their complexity. Those algorithms must be used for analyzing big data. The topics of big data systems that address the needs for structured and unstructured data include the NoSQL storage systems, Hadoop Map-Reduce, data analytics platforms, search and indexing platforms, and messaging infrastructures. Blockchain research is one of the more vibrant areas of computer science, with the potential of revolutionizing how our society deals with trust. This course gives design and modeling approaches for distributed technologies, more specifically blockchain structure.
The goal of this course is to develop skills with a range of procedures and programs for multivariate data analysis. The focus will be on practical issues such as selecting the appropriate analysis, preparing data for analysis, menu-driven and syntax programming, interpreting output, and presenting results of a complex nature. Possible topics to be covered include canonic correlation analysis, multiple discriminant analysis, cluster analysis, multidimensional scaling, confirmatory factor analysis, path analysis, structural equation modeling, hierarchical linear modeling, and meta-analysis. Topics for coverage are also somewhat driven by student interests.
Quantitative methods play a pivotal role in especially empirical studies on finance. The objective of this course is to provide the student with knowhow and skills about modeling financial data, analysis of financial time series by using certain statistical techniques, usage of ARMA and ARIMA models, stationary time series, conditional variance models (ARCH, GARCH), vector autoregression models, and panel data analysis via software such as E-views, and STATA. In this respect, each subject will be handled with a sample implementation of various techniques for financial data.