Understanding Business Research - A Fundamental Guide






What you'll learn
Understand the Role of Research in Business
Develop Research Questions and Proposals
Conduct Comprehensive Literature Reviews
Design Effective Research Studies
Master Data Collection Techniques
Implement Sampling Strategies
Requirements
An Interest in Research and Problem-Solving
Basic Computer Skills
Access to Research Tools
Description
Based on the foundational principles outlined in Uma Sekaran's acclaimed book on research methods, Mastering Business Research Methods provides a step-by-step approach to conducting meaningful and impactful research in a business context.This course offers a balanced combination of theoretical frameworks and practical applications, guiding you through the entire research process. From understanding the basics of research design to mastering data collection and analysis techniques, you'll gain the skills needed to make informed business decisions and solve real-world problems effectively.Key highlights include:Understanding Business Research: Explore the significance of research in solving managerial problems, improving decision-making, and driving organizational success. Learn how to connect research questions to business challenges.Defining Research Problems: Develop clarity and precision in problem formulation, ensuring a solid foundation for effective research.Literature Review and Theoretical Frameworks: Learn how to critically evaluate existing studies, identify gaps, and build robust theoretical frameworks to guide your research.Research Design: Understand different types of research designs, including exploratory, descriptive, and causal studies, to suit various business contexts.Data Collection Methods: Gain expertise in qualitative methods like interviews and focus groups, and quantitative techniques such as surveys and observation, ensuring comprehensive data gathering.Sampling Techniques: Learn about probability and non-probability sampling methods to ensure your research findings are representative and reliable.Data Analysis and Interpretation: Master statistical tools and techniques for analyzing data, including descriptive and inferential statistics, to draw meaningful conclusions.Writing and Presenting Research Reports: Develop the skills to create professional and impactful research reports, ensuring your findings drive actionable insights.By following the structured approach outlined in this course, you'll gain the ability to tackle complex business challenges with confidence, aligning your research with the principles of Research methodology. Whether you're a manager, student, or aspiring researcher, this course will empower you to approach business problems strategically and scientifically, making a lasting impact in your field.
Overview
Section 1: Introduction
Lecture 1 Instructor Introduction
Lecture 2 What is Research?
Lecture 3 Nature of Business Research
Section 2: Research Idea Generation
Lecture 4 Generation of Research Ideas
Lecture 5 Refining Research Ideas
Lecture 6 Attributes of Good Research Idea
Lecture 7 Research Idea to Prioject
Lecture 8 Writing Research Proposal
Section 3: Literature Review
Lecture 9 Defining Literature Scope
Lecture 10 Purpose of Literatuer Review
Lecture 11 Defining Literature Scope
Lecture 12 Searching Relevant Literature
Lecture 13 Searching Web of Scineces
Lecture 14 Understanding Research Variables
Lecture 15 Conceptual Framework in Research
Lecture 16 Difference Between Conceptual-Theoritical Fwrk
Lecture 17 Understanding Theory
Lecture 18 Article Summary Table
Lecture 19 Synthesizing Literature
Section 4: Research Design
Lecture 20 Overview of Research Design
Lecture 21 Purpose of Study
Lecture 22 Research Study Settings
Lecture 23 Researcher Interference
Lecture 24 Time Horizon
Lecture 25 Types of Investigation
Lecture 26 Unit of Analysis
Section 5: Experimental Design
Lecture 27 Introduction of Experimental Design
Lecture 28 Types of Experimental Designs
Lecture 29 Field and Simulation Studies
Lecture 30 Validity Concerns in Experimental Design
Lecture 31 Ethical Issues
Section 6: Samplng in Research
Lecture 32 Understanding Sampling
Lecture 33 Probability Sampling
Lecture 34 Non-Proabability Sampling
Lecture 35 Sampling in Mixed Method Research
Lecture 36 Advance Sampling Methods
Lecture 37 Sampling Errors and Biases
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