Course Contents
• Defining Research, types of research---- Applied and basic research, Manager and research, the manager and the consultant researcher, Knowledge about research and managerial effectiveness, Ethical considerations in research.
• The hallmarks of scientific research, the hypothetico-Deductive Method, Alternative approaches to research.
• The broad problems area, preliminary information gathering, research proposal, managerial implications, ethical issues in preliminary stages of investigation.
• Literature survey, reasons for literature survey, conducting the literature survey, writing up the literature survey or the literature review, Problem definition, managerial implications, ethical issues.
• The need for a theoretical framework, types of variables, The theoretical frame work, hypothesis development, managerial implications
• The research design, Purpose of the study, types of investigation, extent of researcher interference with the study, Study settings, Unit of analysis, time horizon of study, managerial implication.
• Measurement of Variables, Operational definition, international dimensions of operationalization
• The four types of scales, Rating Scale, Ranking Scale, Goodness of measure, Validity and Reliability.
• Sources of Data, Data Collection Methods, Questionnaires and Questionnaire Design, Structured and Unstructured interviews, Observational Studies, Multi methods and multi sources of data collection, setting where from data are collected, international dimensions of surveys, Managerial Implications, Ethics in data Collection.
• Sampling, Population, Element, Population Frame, Sample, Subject, Sampling, Reasons for sampling, Representative of the sample, probability Sampling, Non Probability Sampling, Sampling in cross cultural research, issues of precision and confidence in determining sample size, Precision and confidence Trade off, Sample Data and hypothesis Testing, Sample Size, Efficiency testing, Sampling in Qualitative Studies, Managerial Relevance.
• Data Analysis and Interpretation, Preparing data for Analysis, Data analysis and interpretation, use of several data analytic techniques, Descriptive Statistics, Inferential Statistics
Final Project:
Topic chosen for research should be focused and narrowed down for research from broad problem area. Final Project should be based on application of complete research process. Research project should incorporate following contents:
• Creative and Interesting Title
• Introduction (Identifying the Theme, Significance of Study, Identification of Research Question)
• Literature Review (Providing Background and Context of Study, Evidence from studies addressing the Selected Problem for the Research)
• Theoretical Framework
• Research Design
• Data Analysis and Discussion
• Recommendation and Conclusion
(Note: Your sources must be reputable and reliable. Text should follow APA format.)
Course Synopsis
This course is designed to give an overview of the principles and methods of research: identification of research question, development of theoretical framework and model, securing the respondents, making a test investigation, sampling, collecting data, types and errors of collected data, tabulating and analyzing the information, interpreting the findings and stating the conclusion through a series of class projects. Practical experience is offered to the students on how research techniques and procedures are applied to solve the managerial problems. The course will also help the students in understanding the importance of the research as a management decision tool and in dealing with various management-related theoretical and applied problems.
Course Learning Outcomes
On completion of this course students will be able to
• Recognize the importance of research as a first step in Management Studies.
• Translate basic/applied management issues into appropriate academic research questions.
• Understand the links between the issues being investigated and the method of investigation.
• Use SPSS software for statistical analysis and interpretation
• Understand and apply the skills required to design and conduct research studies using .
• Acquire the ability to interpret research results and establish the substantive meaning and implications of the findings for managerial practice.
Literature review
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Literature review 1
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Interviews
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Interviews 1
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Interviews 1
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Interviewing
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Hypothesis Testing
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Introduction, Definition and Value of Research
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Scientific Method of Research & Its Special Features
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Classification of Research
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Theory & Research
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Research Concept
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Variables and Types of Variables
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Hypothesis Testing and Characteristics
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Hypothesis Testing and Characteristics
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Literature review
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Conducting a Systematic Literature Review
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Theoretical Framework
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Problem Definition & Research Proposal
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The Research Process
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Ethical Issues in Research-I
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Ethical Issues in Research-II
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Measurement of Concepts-I
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Measurement of Concepts-II
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Measurement of Concepts-III
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Criteria for Good Measurement
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Research Design
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Survey Research
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Self-Administered Questionnaire
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Tools for Data Collection
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Pilot Testing of the Questionnaire
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Interviewing
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Sample & Sampling Terminology
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Probability & Non-Probability Sampling
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Types of Probability Sampling
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Data Analysis
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Data Transformation
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Data Presentation
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Use of Secondary Data
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Use of Secondary Data
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Qualitative Research: Observation Studies/Field Research-I
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Focus Group Discussion
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Report Writing
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Referencing
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Book Title : Research Methods for Business
Author : Uma Sekaran and Roger J. Bougie
Edition : Latest
Publisher : John Wiley & Sons Inc
Book Title : Social Research Methods
Author : Alan Bryman
Edition : Fourth
Publisher : Oxford
Title : INTRODUCTION TO RESEARCH (Chapter 1)
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Title : The scientific Approach in Investigation
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Title : Defining and Refining the Problem
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Title : Theoretical framework and Hypothesis Development
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Title : Elements of Research Design (Chapter 6)
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Title : Data Collection Methods
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Title : Data collection Methods
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Title : Measurement of Variables: Operational Definition
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Title : Measurement: Scaling, Reliability, Validity
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Title : Sampling:Design and Procedures
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Title : Multiple Regression
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Title : Regression
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