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Week - 1
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Introduction to Systematic Literature Reviews: Purpose, Types, and Their Role in Research |
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Week - 2
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Designing and Conducting Systematic Literature Reviews: PRISMA, SPAR-4-SLR, Bibliometric Analysis, and AI-Assisted Literature Reviews |
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Week - 3
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Qualitative Research Paradigms and Research Design: Phenomenology, Ethnography, Case Study, Netnography, and Grounded Theory |
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Week - 4
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Qualitative Data Collection Techniques: In-Depth Interviews, Focus Groups, Observation, and Document Analysis |
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Week - 5
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Qualitative Data Analysis I: Coding Procedures, Thematic Analysis, and Content Analysis |
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Week - 6
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Qualitative Data Analysis II: Grounded Theory, Gioia Methodology, Trustworthiness, and Validity |
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Week - 7
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AI-Assisted Qualitative Research: Using NVivo, ATLAS.ti, NotebookLM, ChatGPT, and Large Language Models in Research |
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Week - 8
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Midterm Exam |
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Week - 9
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Quantitative Research Design and Model Development: Theory Building, Hypothesis Development, and Conceptual Model Design |
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Week - 10
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Scale Development and Data Collection: Measurement, Sampling, Reliability, and Validity |
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Week - 11
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Fundamental Quantitative Analysis Techniques: Descriptive Statistics, Correlation, Regression, t-Tests, ANOVA, and MANOVA |
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Week - 12
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Advanced Quantitative Analysis I: Exploratory and Confirmatory Factor Analysis and Structural Equation Modeling (SEM) |
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Week - 13
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Advanced Quantitative Analysis II: Mediation and Moderation Analysis, Multi-Group Analysis, PLS-SEM, and Hierarchical Modeling |
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Week - 14
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AI-Assisted Quantitative Research: Machine Learning, Predictive Modeling, Big Data Analytics, and Artificial Intelligence Applications in Marketing Research |
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