PhD Management Science – International Islamic University

Introduction

The PhD program at the Faculty of Management Science is structured to cater the increased need of research in the country. The program is designed with 54 credit hours in total with a planned duration of 3 years. A balance with respect to methodologies and research orientation (quantitative and qualitative) is sought through this program. Course work consists of 18 credit hours, while thesis consists of 36 credit hours.

Vision

To promote theoretical and applied research that can help us to solve the business problems of the society at large

Mission

To pursue theoretical and applied research by creating active collaboration with business, academia, government and the development sector.

Core Values:

Transparency, Openness, Societal Impact

Program Objectives

To develop:

Advance level of understanding about philosophy of science and how it relates to research methodologies in business
Advance level of comprehension about research methods in business
Refresh the balance orientation in research methodologies with respect to qualitative and quantitative research methodologies
Students’ higher level of analytical skills
Higher level of comprehension in academic writing.

Learning Outcomes

At the end of his/her degree, a student should be able to:

Professionally describe philosophy of science and how it relates to research method in business
Confidently explain research methodologies in business – both quantitative and qualitative
Express reasonable level of critical opinion on others’ research work
Write with higher level of clarity, comprehension and more in an argumentative way

Scope

The program will develop a higher level of research and writing orientation among the students by focusing on philosophy of science, research methodologies in business and scientific literature related to a discipline.

Eligibility Criteria

As per the Admission Advertisement.

Rules & Regulations

As per University Policy

Program Structure

The proposed scheme is envisioned to pursue the learning objectives as mentioned earlier.

Existing

Proposed

6 courses of 18 credit hours from the areas of specializations which are as under: –

Management
Finance
Marketing
Technology Management

2 Core Courses

1. Research Methodology and Technical Writing Skills
Advance Data Analysis Techniques (Quantitative & Qualitative)

4 Elective Courses
4 from core disciplinary area
OR
3 from core disciplinary area
1 from allied discipline, if required

List of Elective Courses

Program Structure

No.	Description	No. of courses	Credit hours
1	Core Courses – credit course	2	6
2	Specialization Courses OR 3 specialization courses and one course from allied discipline	4	12
3	Comprehensive Exam
4	Thesis		36
	Total Credit hours		54

PhD Courses
S.No	Code	Title
1	MGT801	International Entrepreneurship
2	MGT802	Industrial Relations
3	MGT803	Advance Research in Leadership
4	MGT804	Research in Change and Innovation Management
5	MGT805	Advanced Academic Writing
6	MGT806	Occupational Health and Psychology
7	MGT807	Research in Public Sector & Non-Profit Organizations
8	MGT808	International Management and Organizations
9	MGT809	Social Issues in Management
10	MGT810	Current Topics in Organizational Behavior
11	MGT811	Diversity Management
12	MGT812	Research in Career Management
13	MGT813	Qualitative Research Methods in Management
14	MGT814	Reading, Doing and publishing Research in OB
15	MGT815	Group Dynamics
16	MGT816	Dark Side of Organizational Behavior
17	MGT817	Research in Strategic Management
18	MGT-818	Philosophy of Management Science

Specialization of Finance

PhD Courses
S.No	Code	Title
1	FIN801	Derivatives
2	FIN802	Advanced Entrepreneurial Finance
3	FIN803	Investment Analysis
4	FIN804	Cases in Finance
5	FIN805	Mergers and Acquisitions
6	FIN806	Financial Engineering
7	FIN807	Enterprise Risk Management
8	FIN808	Real Estate Investment
9	FIN809	Issues in Financial Reporting
10	FIN810	Advanced Finance Theory
11	FIN811	Research Methods in Finance
12	FIN812	Advances in Behavioral Finance
13	FIN813	Quantitative Corporate Finance
14	FIN814	Empirical Methods in Asset Pricing
15	FIN815	Financial Economics
16	FIN816	Financial Crises and Economics of Depression

Specialization of Marketing

PhD Courses
S.No	Code	Title
1	MKT801	Research in Advertising
2	MKT802	Advanced Entrepreneurial Marketing
3	MKT803	Advanced Strategic Marketing
4	MKT804	Product Strategy & Management
5	MKT805	International Marketing
7	MKT806	Advanced Research Skills in Marketing
8	MKT807	Advanced Social Marketing
9	MKT808	Advances Customer Relationship Marketing

Specialization of Technology Management

PhD Courses
S.No	Code	Title
1	TM801	Management of technological change and innovation
2	TM802	Enterprise resource planning and management
3	TM803	Data warehousing and Management
4	TM804	Advanced System Development Management
5	TM805	Managing Intellectual Capital
6	TM806	System Security Management
7	TM807	Management of new/emerging technologies
8	TM808	Information technology and supply chain management
9	TM809	Information technology and customer relationship management
10	TM810	E-Commerce
11	TM811	Strategic Information system

Courses description for PhD level courses, under suggested revised course stream:

Course Title	Research Methodology and Technical Writing Skills	Course Code	MGT 819
		Level:	PhD
Course Description	The course is designed to develop/enhance two important skills of a scholar enrolled in a PhD program i.e., how to design and conduct research at a higher level and how to write scholarly. In line with the title of the course, the course will be designed and executed in two separate but related components. The first part will inform the students about how to develop a research design while considering various research orientations e.g., deductive and inductive. The second part will give a hands-on experience on how to write consciously as a research output.
Course Content	Research Methodology Philosophy of science & Research The selection of a research approach Doing a literature review Designing Research Qualitative Method Quantitative Methods Technical Writing Skills Why writes your research Writing MS/PhD Thesis Theoretical Empirical Writing a journal article Theoretical Empirical Common Issues Contents of a Thesis/Article Introduction Problem Definition Articulate study significance Literature review Methodology Finding Discussion Conclusion References – guidelines for good academic referencing Appendices
Suggested Literature	Recommended Textbooks and Journals Articles for Research Methodology: Amy C. Edmondson and Stacy E. Mcmanu (2007), Methodological Fit In Management Field Research, Academy of Management Review, Vol. 32, No. 4, 1155–1179. Creswell W. John (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th edition). SAGE Publications Easterby-Smith, Thorpe and Jackson (2017) Management Research, 3 editions, SAGE, UK Guba G. Egon (1990) The Alternative Paradigm Dialogue, The Paradigm Dialogue, edited by Guba G. Egon, SAGE Publications KING, KEOHANE & VERBA (1996), Designing Social Inquiry, Princeton University Press Williams, Maclcolm and May, Tim (1996) Introduction to the philosophy of social research, London, University College London Recommended Textbooks and Journals Articles for Scientific Writing Skills: Alvesson Mats and Sandberg Jorgen (2011) Generating Research Questions Through Problematization Academy of Management Review 36:2 (247-271) American Journal Experts (2012) Verb Tense in Scientific Manuscript Booth C. Wayne, Colomb G. Cregory and Williams M. Joseph (2008) The Craft of Research The University of Chicago Press, Chicago Golden-Biddle Karen and Locke Karen (2007) Composing Qualitative Research SAGE Publications Harzing, A.W. (2002) Are our referencing errors undermining our scholarship and credibility? The case of expatriate failure rates, Journal of Organizational Behavior, vol. 23, no. 1, pp. 127-148. Pansiri Jaloni (2009) Evolution of doctoral thesis research topic and methodology: A personal experience Tourism Management 30, 83-89 Ridley Diana (2012) The Literature Review: A Step by Step Guide for Students SAGE Publications Yuksel A. (2003) Writing publishable papers Tourism Management 24, 437-446

Course Title	Advanced Data Analysis Techniques	Course Code	MGT 820
		Level:	PhD
Course Description	Data is the new oil – the slogan, if suggests shift of the businesses towards more non-materialized business models also informs us about the future skill sets business graduates would be in need. In order to cater this increasingly visible need, this course is designed. This course comprises two major components i.e., data analysis techniques in qualitative and quantitative research. The first part, quantitative data analysis techniques will focus on the measurement of economic relationships. The models, formulas, and algorithms will be used in making a good and rational decision in the area of marketing, finance, and human resource management. The second part, qualitative data analysis, will enable the students to draw meanings from the words by re-phrasing, re-interpreting and re-organizing these words. Software will be important part of this course.
Course Content	Advanced Quantitative Data Analysis Techniques Correlation versus Regression E-Views activities of application of steps of regression analysis Assumptions of Classical Linear Regression Model Hypotheses Testing One tail vs 2-tail t tests with examples E-Views activities of hypotheses Testing Multicollinearity Heteroscedasticity Panel Data Analysis Modelling of Volatility clustering (ARCH, GARCH, EGARCH, TARCH) The Linear Probability Model The binomial Logit Model Probit Model Tobit Model Time Series Models Unit Root Investigation Co-integration Vector Error Correction Granger Causality Test Impulse Response Functions Variance Decomposition Advanced Qualitative Data Analysis Techniques Fundamentals of Qualitative Data Analysis Designing Matrix and Network Displays Methods of Exploring Methods of Describing Methods of Ordering Methods of Explaining Methods of Predicting Drawing and Verifying Conclusions
Recommended textbooks	“Using Econometrics, A Practical Guide” 5th Edition, by A.H Studenmund, published by Pearson Addison Wesley Miles, M. B. (2018). Qualitative data analysis: A methods sourcebook. Sage publications.