Institute of Management Studies Devi Ahilya Vishwavidyalaya, Indore, India. M. Phil. In Management. Analytical Techniques for Research

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1 Institute of Management Studies Devi Ahilya Vishwavidyalaya, Indore, India M. Phil. In Management Analytical Techniques for Research Course Overview Data analysis is core to any research work. It is widely being used in social sciences and to be specific in business management and research. The course aims at providing conceptual understanding of the analytical tools most widely used in research in management. It will deal with the application of tools ion research. Course Objectives At the end of this course students should be able to: Understanding the concepts of analytical tools. Understanding the applications of tools in research. Pedagogy This course will combine a variety of tools including class room lectures, case discussions and practice sessions. Examination Scheme The faculty member will award internal marks out of 40 based on three assessments of 20 marks each of which best two will be considered. The end semester examination will be worth 60 marks having theory and cases/practical problems. Course Content 1. Data Editing, Data Presentation, Data Normalization 2. Introduction to Measurement of Central Tendency and Variations. 3. Probability Theory and Probability Distributions: Concepts, additive, multiplicative, conditional probability rules, Baye s Theorem, Binomial, Poisson and Normal distributions- their characteristics and applications 4. Time Series: Time Series and its Components, Analysis, Models of Time Series, Methods of Studying Components of Time Series: Measurement of trend (moving average, exponential smoothing and least squares method), Measurement of seasonal variations (simple average, trend, and moving average method) Measurement of cyclic variations (residual method). 5. Simple Correlation & Regression: Correlation (Karl Pearson s and Spearman s Coefficient), Methods of computing simple correlation and regression (Least square method).

2 6. Hypothesis and Hypothesis testing Parametric & non-parametric tests, introduction to sample tests for univariate and bivariate analysis using normal distribution, f-test, ANOVA, t-test, z-test, U test, Kruskal-Wallis test, chi square test. 7. Advance Data Analysis tools : Multiple Regression, Factor Analysis, Cluster Analysis, Perceptual Mapping, Multidimensional Scaling, Discriminant and Canonical Analysis, Conjoint Analysis.(Concepts and applications only) 8. Use of SPSS for data analysis 9. Qualitative Research: Conceptual Issues, Methods and Applications Books : (Latest Editions) 1. Fundamentals of Statistics- Elhance D N, Veena Elhance and Agrawal B M- Kitab Mahal Publications. 2. Statistics for Management- Levin and Rubin- Pearson Publications 3. Business Statistics- Ken Black- Wiley Publications. 4. Multivariate Analysis- Hair J F, Black W C, Babin B J and Anderson R E Pearson Publications

3 Institute of Management Studies Devi Ahilya Vishwavidyalaya, Indore, India M. Phil. In Management MARKETING MANAGEMENT AND RESEARCH ISSUES Course Overview Marketing has long been considered as a customer centric business philosophy, strategy, and function. It has been widely discussed as science and practised as an art. Marketing unfolds itself into many paradigms, perspectives, processes and practices. This course aims at providing sound conceptual framework and developing an understanding of underlying concepts, theories, models and emerging issues. It will cover a long journey in the process of learning about different domains and important research issues covering a broad spectrum of marketing. The course will adopt an interdisciplinary approach while discussing conceptual and research issues. Course Objectives At the completion of this course students should be able to: Understand the genesis and evolution of marketing concept, theories and applications. Understand marketing process and functions. Be able to identify and diagnose challenges and opportunities in practice of marketing. Be able to identify research issues and formulate research problems for theory and practice Pedagogy This course will combine a variety of tools including class room lectures, group discussions, case discussions, presentations, field work, writing research papers etc. Examination Scheme The faculty member will award internal marks out of 40 based on three assessments of 20 marks each of which best two will be considered. The end semester examination will be worth 60 marks having theory and cases/practical problems.

4 Course Content Module I: Foundations of Marketing Marketing Concept Definition, Genesis and Evolution, Holistic Marketing Customer Orientation Customer Value, Satisfaction, Customer Experience, CRM, Life Time Value and Customer Loyalty Consumer Behaviour Overview, scope, and consumer decision making models Module II: Strategic Marketing Marketing Planning Strategic Marketing Framework Segmentation Market Segmentation versus Customer Segmentation, Bases and Outcomes Targeting: Concept, Dimensions and Strategies Positioning Differentiation and Positioning, Strategies, Applications Module III: Marketing Mix Marketing Mix Conceptualization and Elements Product Product Portfolio, PLC and New Product Development Services Conceptualization, Challenges, Strategies, Quality Pricing Influences and types of pricing decisions Marketing Channels Functions, Structure, Challenges, Supply Chain Management Promotion IMC concept, mix and strategies Brand Management Branding concept and elements, brand equity models and strategies Module IV: Extended Marketing Mix People Customer interaction, complaints management; internal marketing Process Service Design, Co-creation, Delivery Physical Evidences Servicescape, SOR framework, Clues Module V: Measurement and Applications Marketing Metrics Measures of marketing performance including behavioural and financial metrics, standardized scales for research in marketing Research Issues in Applied Marketing Business (B2B) Marketing, Global Marketing, Retailing, Rural Marketing, Digital Marketing, Social Marketing

5 Suggested List of Text and References: Kotler, P., Keller, K., Koshi, A. & Jha, M. (2012). Marketing Management: A South Asian Perspective (14 th Ed.). New Delhi: Pearson. Lovelock, C., Wirtz, J. & Chatterjee, J. (2011). Services Marketing. New Delhi: Pearson. Keller, K., Parmeshwaran, A.M.G., & Jacob, I. (2011). Strategic Brand Management (3 rd Ed.). New Delhi: Pearson. Berman, B., Evans, J.R. & Mathur, M. (2011). Retailing Management (11 th Ed.). New Delhi: Pearson. Kotler, P. (1972). A generic concept of marketing. The Journal of Marketing, Webster Jr, F. E. (1992). The changing role of marketing in the corporation. The Journal of Marketing, Borden, N. H. (1964). The concept of the marketing mix. Journal of advertising research, 4(2), 2-7. Smallwood, J. E. (1973). The product life cycle: a key to strategic marketing planning. MSU Business Topics, 21(1), Bucklin, L. P. (1963). Retail strategy and the classification of consumer goods. The Journal of Marketing, Berry, L.L., Carbon, L.P., and Heackel, S.H. (2002). Managing the total customer experience. MIT Sloan Management Review, 43(3), Bitner, M.J. (1992). Servicescapes: The impact of physical surroundings on customers and Employees, Journal of Marketing, 56, April, Parasuraman, A., Zeithaml, V.A. & Berry, L.L. (1985). A conceptual model of service quality and its implication for future research. Journal of Marketing, 49, Fall, Parasuraman, A., Valarie Zeithaml and Leonard Berry (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality, Journal of Retailing, 64 (Spring), Dabholkar, P., Thorpe, D. & Rentz J. (1996). A Measure of Service Quality for Retail Stores: Scale Development and Validation, Journal of the Academy of Marketing Science, 24 (Winter), 3-16.

6 Institute of Management Studies Devi Ahilya Vishwavidyalaya, Indore, India M. Phil. In Management FINANCIAL MANAGEMENT AND RESEARCH ISSUES Course Overview Since long time, the scope of financial management was confined to rising of funds, and little significance was attached to the analytical thinking in financial decision making and problem solving. The modern thinking in financial management accord a for greater importance to management decision making and policy. This course balances the advancement in research and practices with through coverage of core finance topics. The course will adopt an interdisciplinary approach while discussing conceptual and research issues and will help to manage the financial matters and enlighten the beneficiaries as to how to take the decision while dealing in financial matters. Course Objectives At the completion of this course students should be able to: Understand the analysis of financial statement Understand the theories of capital structure, techniques for evaluating capital expenditure decisions and working capital management Be able to identify and diagnose challenges and opportunities in financial market and in banking sector. Be able to identify and diagnose challenges and opportunities in investment management Be able to identify research issues and formulate research problems for theory and practice in financial management Pedagogy This course will combine a variety of tools including class room lectures, group discussions, case discussions, presentations, field work, writing research papers etc. Examination Scheme The faculty member will award internal marks out of 40 based on three assessments of 20 marks each of which best two will be considered. The end semester examination will be worth 60 marks having theory and cases/practical problems.

7 Contents 1. Introduction to Financial Statement Analysis: Assets and liabilities in balance sheet, stockholders equity, analysis of balance sheet, income statement, earning calculations, income statement analysis. 2. Financial Management: Cost of capital, relevance of capital structure theories and factors determining capital structure in present condition, practical issues in discounting techniques for evaluating capital expenditure decisions, working capital finance and liquidity issues, impact of capital structure on dividend policy decisions 3. Financial Markets and Institutions: Impact of specific regulations on financial institutions, analyzing effect of inflation on fixed income bearing assets, introduction to capital market, money market and operations. 4. Banking: International banking: issues and challenges, performance analysis of Indian banks: issues in Indian scenario, impact of credit and monetary policies on banking, banking risks and methods to manage them. 5. Investment Management: Concept of investment, systematic and unsystematic risk, valuation of securities, concept of beta, factors affecting investment patterns of retail investors Suggested List of Text and References: Pandey, I.M., Financial Management, New Delhi: Vikas Publication House, 10th Ed Khan, M.Y., Jain, P.K., Financial Management, Delhi: Tata Mc Graw Hill, 5th Edition, Shashi K. Gupta, Financial Management, Kalyani Publication, 6 th Ed., 2011 Kishore, Ravi M., Financial Management, Taxmann Publications. 6 th Edition, 2007 Jonathan Berk and Peter Demorzo, Financial Management, Pearson Education, 2 nd Ed, 2010 Padmalatha Suresh and Justin Paul, Management of Banking and Financial Services, Pearson Education, Vijayaragavan Iyengar, Introduction to Banking, Excel Book, Ist Ed., 2009 Indian Institute of Banking and Finance, Banking Product and Services, Taxmann Publication, 2010 Indian Institute of Banking and Finance, Basics of Banking, Taxmann Publication, 2010

8 V.A. Avadhani, Investment and Security Markets In India, Himalaya Publication, Bombay, 2008 M.Ranganatham and R.Madhumathi, Security Analysis and Portfolio Management, Second Edition, Pearson Publication, New Delhi,2012 P.Pandian, Security Analysis and Portfolio Management, Vikas Publishing House,New Delhi, 2008 H. R. Machiraju, Indian Financial System, Vikas Publication.New Delhi, 2nd Edition, M. Y. Khan, Indian Financial System, Tata McGraw Hill, 1st Edition Vasant Desai, The Indian Financial System, Himalaya Publication, New Delhi, 4th Edition, June 2001.

9 Institute of Management Studies Devi Ahilya Vishwavidyalaya, Indore, India M. Phil. In Management BUSINESS INTELLIGENCE AND RESEARCH ISSUES Course Overview Business Intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making. Business Intelligence also includes technologies such as data integration, data quality, data warehousing, master data management, text and content analytics, and many others that the market sometimes lumps into the Information Management segment. The objective of this course is to help students to understand the concepts of business intelligence and its significance in business organizations relating to complex decisions. The course will adopt an interdisciplinary approach while discussing conceptual and research issues. Course Objectives At the successful finishing point of this course students should be able to: Realize the origin and development of BI foundations, technologies and applications. Understand the business intelligence roadmap. Correlate the Information Technology with the Human Resource Management, Customer Handling, Financial and Strategic aspects of the business organizations. Identify research issues deals with the role of BI in business organizations. Pedagogy This course will combine a variety of tools including class room lectures, group discussions, case discussions, presentations, field work, writing research papers etc. Examination Scheme The faculty member will award internal marks out of 40 based on three assessments of 20 marks each of which best two will be considered. The end semester examination will be worth 60 marks having theory and cases/practical problems. COURSE CONTENTS Unit I: Business Intelligence Foundations Understanding BI: Data, Information, Database

10 BI Cycle: Framework and Analysis BI Enablers: Technology, People and Organizational Culture Unit II: Overview of Business Intelligence Technologies Basic Functioning: MIS, HRIS, ERP, CRM, Reporting and Analysis: OLTP, Data Warehouse and Data Mining Unit III: Business Intelligence and Knowledge Management Knowledge Management: Myths and Understanding KM System Life Cycle: Knowledge Creation and Process Management Unit IV: Business Intelligence Roadmap and Opportunities BI Opportunities: Sharing and Collecting Ideas, Evaluating Alternatives BI Solution: Implementation Strategy and Fundamental Decision Unit V: Applications of Business Intelligence in Organizations BI and Applications: HRM, Customer Handling, Credit Card Management, Insurance Research Issues with BI: Case Analysis and Research Articles Suggested Text and References Abrahan Sliberschatz, Henery F. Korth, S. Sundershan, Database System Concepts, New York, McGraw Hill Inc., Blackwell R.D. & Stephan K., (2001), Customers Rule: Why The E-Commerce Honeymoon Is Over and Where Winning Businesses Go From Here, Crown Business, ISBN , pp. 71, C.J. Date, An Introduction to Database Systems,New Delhi, Addison-Wesley, Elizabeth Vitt, Michael Luchevich and Stacia Minser (2002). Business Intelligence, Prentice Hall of India, Private Limited. Elias M. Awad, System Analysis and Design, New Delhi, Galgotia Publishing Pvt. Ltd., Kenneth C. Laudon and Jane P. Laudon, Management Information Systems, New Delhi, Prentice Hall of India Pvt. Ltd., Koronios, A., & Yeoh, W. (2010). Critical success factors for business intelligence systems. Journal of Computer Information Systems, Retrieved from Ling, C.S., & Palaniappan, S. (2008). Clinical decision support using OLAP with data mining. IJCSNS International Journal of Computer Science and Network Security, 8, (9), Retrieved from

11 Muneesh Kumar, Business Information Systems, New Delhi, Vikas Publishing House Pvt. Ltd., Roger S. Pressman, Software Engineering, New York, McGraw Hill, 5th Ed., 2001 Shi, Z., Wang, M., Wu, W., Xu, L., & Zeng, L. (2006). Techniques, process, and enterprise solutions of business intelligence. Systems, Man and Cybernetics, SMC '06. IEEE International Conference, Retrieved from Turban E., and Volonino L., (2010.), Business Intelligence and Decision Support Systems, Information Technology for Management: Transforming Organizations in the Digital Economy, pp , (7th edition ), John Wiley & Sons, ISBN: , USA, pp.456. Watson, H.J.,& Wixom, B.H. (2007). The current state of business intelligence. Computer, 40 (9), Retrieved from