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Marketing Management

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Marketing Management

Issues

                                                                                    ELECTIVE- MARKETING MANAGEMENT

Subjects:-

 International Marketing Management- Paper 1st

 Research Methodology- Paper 2nd

 

 

                            Curriculum of International Marketing Management- Paper 1st (IBM – E1005)

 

S.No.

Topics

 1

Introduction to International Marketing:-Meaning and Scope of International Marketing, Difference Between Domestic and International Marketing, Direction & Composition of Indian Exports.

2

International Marketing Process:-International Marketing Tactics, Reasons for Entering Export Marketing and Organisation of an Export Department.

3

India’s Export Import Policy:-Indian Export and Import Policy, Export Promotion Marketing and Organisation of an Export Department.

4

International Economic Environment:-International Economic Environment, World Trade Tariff and Non-Tariff Restrictions, Role of WTO and Trading Blocks, International Monetary System.

5

Procedure and Practices of Export:-The Procedure and Practices of Processing of an Export Order, Producing for Exports, Export Quality Control, Export Finance, Shipment and Procedures Thereof.

6

Export Documentation:-Export Documents, Processing of an Export Order, Organisation and Structure of Export and Import Houses.

7

Export Market & Export Marketing Process:-The Selection of Export Markets, Planning of Export Marketing Strategy-Product, Pricing, Promotion and Distribution Channel.

8

International Marketing Research:-International Marketing Research.

 

 

                                  Curriculum of Research Methodology- Paper 2nd (IBM – E1006)

 

S.No.

Topics

 1

Introduction to Business Research:-Meaning of Business Research, Types of Research, Research Process.

2

Research Problem:-Selection of the Problem, Understanding the Problem, Necessity of Defined Problem, Self Questioning by Researcher while Defining the Problem.

3

Research Design:-An Overview, Exploratory Research, Descriptive Research Design, Difference Between Exploratory Research and Descriptive Research, Causal Research Design, Experimentation.

4

Sources of Data:-Collection of Data, Collection of Primary Data Questionnaire, Collection of Secondary Data, Editing of Data, Analytical Tools of Data.

5

Attitude Measurement and Scaling Techniques:-Measurement Scales, Comparative and Non-Comparative Scaling Techniques, Criteria for the Good Test.

6

Questionnaire Designing:-Characteristics of Questionnaire, Different Types of Questionnaire, Process of Questionnaire Designing, Instruments, Sample Questionnaires.

7

Introduction to Statistics:-Origin and Growth of Statistics, Meaning and Definition of Statistics, Statistics as a Science, Statistics as a Scientific Method.

8

Data Processing Operations:-Data Preparation, The Process, Frequency Distribution Tables.

9

Descriptive Statistics:-Measure of Central Tendency, Various Measures of Average, Measures of Dispersion.

10

Sampling Distribution and Sampling Techniques:-Distinction Between Census and Sampling, Sampling Process, Types of Sample Design, Fieldwork, Errors in Sampling, Sample Size Decision, Sampling Distribution.

11

Hypothesis Testing:-Steps Involved in Hypothesis Testing, Errors in Hypothesis Testing, Parametric Tests, Chi-Square Test, ANOVA, Non-Parametric Test.

12

Introduction to Multivariate Analysis:-Multiple Regression, Discriminant Analysis, Conjoint Analysis, Factor Analysis, Cluster Analysis, Multidimensional Scaling (MDS).

13

Probability and Probability Distribution:-Classical Definition, Counting Techniques, Statistical or Empirical Definition of Probability, Axiomatic or Modern Approach to Probability, Theorems on Probability, Theorems on Probability (Contd.), Probability Distribution of a Random Variable and Decision Analysis, Probability Distribution of a Random Variable, Mean and Variance of a Random Variable, Theorems on Expectation, Joint Probability Distribution, Decision Analysis.

 

 

 

 

                                            

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