Ph.D. in Management Studies : Woosong University

Academics

Ph.D. in Management Studies

In recent years, management has begun to see a dramatic change in working conditions and employee expectations. These changes have created new areas for researchers to explore. The Ph.D. in Management Studies degree is designed for advanced degree graduates by combining rigorous research training with the skills and knowledge to address meaningful problems facing consumers, employees, managers, organizations, and industries. Doctoral students take a series of Ph.D. level courses that provide an overview of theory and research across the entire field of management.

Overview

IntakeSpring & Fall
Duration3 years
Credits36
TypeFull-time
FormatOffline
LanguageEnglish

What makes our program unique?

Our Doctoral degree in Management Studies provides advanced lectures on elements of management knowledge and skill. Our faculty provide opportunities to evaluate issues surrounding the evolving workplace and how these changes relate to management. Students be supported as they develop their research skills and complete their thesis.

Structure

The Ph.D. program is divided into three parts: Core, Major Required, and Major Elective. Students are required to complete 36 credit hours, a comprehensive exam, and a thesis to graduate. See the credit breakdown below.

Credit Classification	Credit Hours
Core	15
Major Required	6
Major Elective	6
General Elective*	9
Thesis

* General Elective credits are any additional credits that can be earned in any category (Core, Major Required, or Major Elective)

Students are required to achieve a cumulative GPA of 3.0 or higher to graduate.

2022 Curriculum

Core Courses

Study Area	Course	Credits
Core	Business Management ▼ Course Description The aim of this course is to clarify the system of management theory and to cultivate the ability to acquire knowledge of management field based on the system. The study of business administration starts from the management field based on Pragmatism, which emphasizes objective results, and studies how to rationalize the problem solved in the actual management field. This course focuses on the practical and technical issues of business management, which is based on the viewpoint of pragmatism.	3
	Statistics and Decision Making ▼ Course Description In this course, students will learn the language of uncertainty and the statistical methods for making inferences and decisions on the basis of limited information and data. The course will build on concepts covered in the first part and move to prediction and inferential statistics. In particular, you will learn about hypothesis testing, testing for independent and paired samples, simple linear regression, and multiple linear regression enabling you to make informed predictions.	3
	Survey Research Methods & Analysis ▼ Course Description This course introduces the student to a set of principles of survey design that are the basis of standard practices in the field. The course exposes the student to research literatures that use both observational and experimental methods to test key hypotheses about the nature of human behavior that affect the quality of survey data. It will also present important statistical concepts and techniques in sample design, execution, and estimation, as well as models of behavior describing errors in responding to survey questions. Both social science and statistical concepts will be presented.	3
	Managerial Economics ▼ Course Description Course describes organization, personnel, finance, accounting, and marketing of business administration from the viewpoint of economics. It focuses on the business type, the behavior of the organization members, the economic situation and the enterprise side of the theory of economics. The relationship between the economy and corporate organizations will be specifically covered.	3
	Management Research Capstone Project ▼ Course Description The capstone course is a method of summative evaluation in which the student is given an opportunity to demonstrate integrated knowledge and growth in the major. The course will assess a student’s cognitive and intellectual growth in their major and also the overall academic learning experience. The course will provide an opportunity for students to integrate and applied learning in a comprehensive manner. The capstone provides an opportunity for students to integrate and apply knowledge from their academic studies; through the comprehensive evaluation of core curriculum of all learned fields.	3
	Research Methods in Social Science ▼ Course Description This course is designed to set up a specific research field in the area of business administration that student will study for the thesis paper. The focus of this course is, also, to assist students in developing creativity and analyzing cost of business decision making. It cultivates the ability to combine the theoretical knowledge and practical application.	3
	Thesis Research I ▼ Course Description This course is an area of study or research necessitating a high level of self-directed learning. This learning requires students to read, conduct research, complete written examinations, reports, projects, research papers, portfolios, or similar assignments that are designed to measure competency in the stated educational objectives. The work will be related to an academic discipline done outside of the formal (directly supervised) classroom. This research may be experiential, directed reading, or independent research supervised by a faculty advisor and approved by the chairperson of the department under which the course is listed.	3

Major Required

Study Area	Course	Credits
Major Required	Introduction to Economics ▼ Course Description This course deals with economic theory, econometric methodology, mathematical economics and the latest economic theory which are the basis of understanding of business administration.	3
	Basic Statistics ▼ Course Description Statistics is a basic tool for quantitative research methods in many research areas and is also being used in real-world applications. This course covers (1) descriptive statistics which deal with describing data along with data visualization, (2) probability distribution including binomial distribution, normal distribution, (3) Inferential statistics which is about how to make statistical inference, hypothesis testing, and multivariate analysis such as ANOVA, Regression. This course is designed to focus on the application of statistical concepts rather than understanding underlying mathematics, and will utilize SW applications such as Excel / SPSS to solve tasks and will have brief touch on using R programming as well.	3
	Human Resource Management ▼ Course Description Human resource management is a part or sub-process of management that manages organizational human resources. Human resource management starts from planning and securing of human resources, explores all functions and activities for labor relations, from efficient utilization, maintenance, preservation, compensation and development of human resources. This course covers the management functions of all working managers working in various levels of management, and how to manage human resources as a management process that achieves organizational goals.	3
	Accounting & Decision Making ▼ Course Description Students examine the form and content of financial statements and the methods used to account for assets, liabilities, capital, cash flows and other information reported in conformity with accounting principles. While pure financial accounting focuses on the external interpretation of corporate financial reporting, this course includes internal reporting for managerial decision-making. Management planning and control techniques, basic cost analysis, capital budgeting and activity-based management are encompassed in the course.	3
	Operations Management ▼ Course Description This course is an introduction to the concepts, principles, problems, and practices of operations management. Emphasis is on managerial processes for effective operations in both goods-producing and service-rendering organization. Topics include operations strategy, process design, capacity planning, facilities location and design, forecasting, production scheduling, inventory control, quality assurance, and project management. The topics are integrated using a systems model of the operations of an organization.	3
	Financial Management ▼ Course Description The main content of this course is to systematically study theories that guide corporate financial management behavior and to understand the overall financial situation and future directions. How to raise and operate funds in the management of modern enterprises is a very important part of the company's growth and survival. In this lecture, students first study the main contents discussed in corporate finance and study the basic logic and theoretical basis of major financial theory applied to corporate finance. Then, by examining the cases of realistic application of major financial theory, students will combine theory and practice and cultivate practical application ability. Practical and concrete learning and case analysis on corporate investment decisions, capital procurement decisions, and risk management will be systematized.	3
	Project Management ▼ Course Description This course provides a comprehensive examination of the psychological, social, and cultural factors that underlie expectations, preferences, and judged effectiveness of leadership practices and styles in organizations and work groups in the major cultural regions of the world. The course will focus on the development of the students’ ability to think critically about the complexity of the direct, indirect, and interactive impact of these factors on leading within multinational organizations that operate worldwide.	3
	Methods for Causal Inference in Management Studies ▼ Course Description This course offers a rigorous mathematical survey of causal inference. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.	3
	Introduction to Management Theories ▼ Course Description This course introduces a few popular theories in management fields. The topic includes theories that help managers make better decisions, such as resource-based view, supply chain, quality, etc. The goal of this course is to familiarize doctoral students with reading and understanding academic journal papers in management. Participants will have the opportunity to lead a discussion on a subset of the papers covered in class; as well as present their own research proposal on a topic of interest to them.	3
	Multivariate Analysis ▼ Course Description This course is designed to deliver students with a conceptual knowledge of the basic concepts underlying the most crucial multivariate techniques, with an overview of actual application in various sectors. The subject will address both the underlying statistical methods and mathematical models for problems of applications in different fields. The primary goal of this course is to support students in learning to think deeply and critically about establishing research problems comprised multiple dependent variables, and how to appropriately analyze multivariate data.	3
	Special Topics in the Industry4.0 ▼ Course Description Students will meet a wide range of knowledge, discussion, better understanding how emerging technology trends in this fourth industrial revolution and the digital transformation period from the perspective of its potential applications, and digital economy. Students will explore the full spectrum of conceptual knowledge and understanding of how digital technologies shaping and contributing to our economic growth, innovation, and social well-being in this digital era. This course covers the most recent emerging digital and ICT technology concepts, recent research and development and academic research papers.	3
	Strategy, Institutional Environment, & Innovation ▼ Course Description This course examines the relationship between the strategies for innovation of multinational corporations (MNCs) and those of national governments in a global economic environment. A key theme is the relationship between innovation and competitiveness at the firm and country levels, and the interaction between these two levels since the majority of technological capacity is held by MNCs while government policies affect the extent and pattern of innovations within national boundaries. Attention is given to the distinctiveness of national patterns of technological specialization, how these reflect the characteristics of local policies and institutions, and how they have been changing over time. The international location of technological activity is considered from the national perspective of the effects of globalization on catching up (or falling behind); from the cross-border perspective of MNCs; and from the local perspective of regional systems of innovation and localized clusters, and the interactions in knowledge creation between MNC subsidiaries and indigenous firms. The course concludes with an evaluation of how innovation policies are being gradually reshaped in the current context of the globalization of a knowledge-driven economy.	3
	Entrepreneurship ▼ Course Description This course prepares participants for a future career as entrepreneurs, either as founders of new businesses or within already established companies. It is designed to give participants practical insights into those business aspects that are particularly important during a firm's early development phases, and to make them more effective in managing and growing the start-up firm. It also provides the cornerstones for successfully launching and implementing entrepreneurial projects within already established organizations.	3
	Teaching, Publishing, & Dissemination of Knowledge ▼ Course Description Dissemination of research findings is integral to the research process. Know-how and personal experience in handling all stages and aspects of the dissemination process increase the probability that research will be disseminated, received, understood, and eventually used. The scientific journal article is by far the most common way of conveying research to a wider audience, also including the PhD thesis, and most of the course will therefore be devoted to the journal article. All aspects of the publishing process, from the forming of hypothesis or research questions, the choice of journal, structure of the article, writing style, referencing, submitting, how to respond to reviewers, how to deal with editors will be covered.	3
	An Introduction to Artificial Intelligence ▼ Course Description This course uses a hands-on approach to introduce Students to impend revolution in artificial intelligence (AI) and its application, one that has the potential to change one of the key technologies under fourth industrial revolution in the information era. Students will explore the full spectrum of theoretical concepts of artificial intelligence, and its potential use cases in the industry and businesses. Moreover, latest AI related research methodologies of real-world use cases will discuss flip-learning setting.	3
	Thesis Research II ▼ Course Description This course aims to develop the student to be capable in academic research, including literature review, and writing the outcome of research. It may include examining the quantitative and qualitative approaches to scientific research methods. Fundamentals of academic research, research planning, and essentials of writing research papers are covered. Concentrating on the current research methods the course ensures that the students become advanced on their subject areas and academically equipped to further their research project and convey its outcome.	3

Major Elective Courses

Study Area	Course	Credits
Major Electives	Special Topics in Overseas Regional Study (Case Study) ▼ Course Description This course is designed to understand the phenomenon and causes of overseas trade in the region, based on a hypothesis necessary to scientifically empirical data collection. This course corporate observations, interview surveys, telephone surveys, etc., and helps to learn scientific data analysis processes and to do interpretations.	3
	The 4th Industrial Revolution & Digital Transformation ▼ Course Description The 4th Industrial Revolution & Digital Transformation is represented by Lot, AI, and Big Data, innovation in manufacturing, finance, medical care, education, culture, agriculture, and other industries, as well as the convergence of industrial structure and software design and application capabilities as a basic tool to enhance individual's quality of life through innovation in public services.	3
	Special Topics in Marketing Strategy ▼ Course Description The course focuses on analyzing the marketing management functions that have the greatest direct impact on the business performance of companies operating in domestic and foreign markets from a strategic point of view. Based on the general process of marketing strategy planning focusing on the marketing activities of the company, students will examine the marketing research, market evaluation, market segmentation, target market selection, and marketing mix strategy with sample cases. We will study how to use the knowledge gained through this learning process to present prescription options and alternatives.	3
	Marketing ▼ Course Description The course studies the branding and promotion of products and services to the public, which is targeted through specific demographics. Marketing touches many areas of study, so students will be well-versed in advertising, communications, consumer behavior, public relations, and marketing strategy and research.	3
	Management Information System ▼ Course Description Management Information Systems is a formal discipline within business education that bridges the gap between computer science and well-known business disciplines such as finance, marketing, and management. The aim of the course is to enable students to assess the opportunities and problems that managers in a wide range of organizations face as they attempt to use these IT applications to add value to their businesses. It also aims to help students understand transformational changes within and across industries. These changes have strategic implications for many businesses.	3
	International Management ▼ Course Description This is a graduate course and its main objective is to prepare students to understand international business environment. This course uses a comprehensive approach to International Business. This course on International Business will help students to develop an understanding of recent trends and analysis of challenges in the global business. The objective of the international business course is to provide students an overview and insights into the concept of environmental scanning of companies. The course will entail the use of such pedagogical tools as: case incidents, research, journal readings interactive exercises, current thinking, literature review, project and relevant examinations.	3
	Special Topics in Applied Research (Capstone) ▼ Course Description Focuses on advanced principles and practices of applied research. Topics covered will include the ethics of research activities, how a topic might be investigated from multiple approaches and philosophical perspectives, and the key components of an applied research project and preparation of research for conference presentation.	3
	Special Topics in Digital Economy (Case Study) ▼ Course Description The objective of this course is to study the impact of the digital economy. Students will examine the features of the digital economy, in particular the characteristics of digital goods, strategies employed by organizations, and implications of digitization for economies. Theoretical and practical material in organization and management science, and discuss timely case studies will be discussed in class.	3
	Special Topics in Advance Technology ▼ Course Description An introduction to the application of management principles to systems, people and organizations in technology-intensive industries. Students will learn managerial approaches to organizations; and discover contrasting demands of entrepreneurial and established technology firms. Emphasis will be placed on recognizing the intricate, multidisciplinary nature of the management of technology, including the impact of technology on and how emerging strategy, operations, and decision-making a strategies/solutions/capabilities can be developed to create efficiencies and manage organizational resources.	3

* Only applicable for thesis option candidates

General Electives

General Elective credits are any additional credits that can be earned in any category (Core, Major Required, or Major Elective)

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