Understanding Business Research - A Fundamental Guide

Your Comprehensive Guide to Mastering Business Research Fundamentals

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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