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Mastering Bibliometric-Systematic Literature Reviews (B-SLR)
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.33 GB | Duration: 3h 10m
B-SLR: Transforming Literature Reviews into Theoretical Contributions
What you'll learn
How to formulate impactful research questions for systematic literature reviews
Techniques to develop precise and effective search queries using Boolean operators
Strategies for selecting and validating research databases like Scopus and Web of Science.
Methods to clean, screen, and categorize data for literature review integrity.
Skills to perform bibliometric analysis using tools like VOSviewer.
Steps to integrate bibliometric findings into systematic literature reviews.
Approaches to synthesize research into frameworks, models, and taxonomies.
Techniques for developing theories and creating structured research agendas.
Requirements
Basic familiarity with academic research processes (no advanced expertise required).
Interest in learning systematic literature review and bibliometric analysis techniques.
No prior experience with bibliometric tools
Access to research databases like Scopus, Web of Science, or Google Scholar
Willingness to engage with practical exercises
Description
Are you ready to elevate your research skills and produce impactful academic work that drives meaningful academic and professional contributions worldwide?This course, "Mastering Bibliometric-Systematic Literature Reviews (B-SLR)" is designed to guide you step-by-step through the process of conducting a high-quality systematic literature review and bibliometric analysis.In this course, you will learn how to identify research gaps, formulate compelling research questions, and develop search queries using advanced techniques like Boolean operators. You'll gain expertise in selecting and validating research databases, screening and cleaning data, and applying inclusion and exclusion criteria with precision.Using powerful bibliometric tools such as VOSviewer, you'll uncover influential studies, visualize thematic clusters, and explore connections within your research field. You'll also learn how to synthesize insights into conceptual frameworks, models, and research agendas, transforming your literature review into a meaningful theoretical contribution.Whether you are a graduate student, researcher, or professional looking to enhance your academic or industry-related work, this course provides the tools, techniques, and confidence to succeed. With a focus on practical application and transparency, this course ensures you can reproduce your work and make a lasting impact in your field.No prior experience in bibliometric tools is required - start your journey today!
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Lecture 2 Instructor Introduction
Section 2: Defining the Research Question and Study Boundaries
Lecture 3 Formulating Research Question
Lecture 4 Defining Research Questions
Lecture 5 Setting Study Boundaries
Lecture 6 Ensuring Novelty and Contribution
Section 3: Developing the Search Query
Lecture 7 Search String Development
Lecture 8 Iterative Testing and Refinement
Section 4: Selecting Databases
Lecture 9 Database Selection
Lecture 10 Cross-Checking and Validating Data Across Databases
Section 5: Data Screening and Cross-Checking
Lecture 11 Data Cleaning Process
Lecture 12 Screening and Document Selection
Lecture 13 Ensuring Transparency and Reproducibility
Lecture 14 Data Quality and Validation
Section 6: Conducting the Bibliometric Analysis
Lecture 15 Introduction to Bibliometric Analysis
Lecture 16 Using VOSviewer for Cluster Generation
Lecture 17 Interpreting and Labeling Clusters
Lecture 18 Improving Cluster Visualization
Section 7: Identifying Clusters and Key Topics
Lecture 19 Generating and Interpreting Thematic Clusters
Lecture 20 Ordering and Ranking Documents within Clusters
Lecture 21 Visualizing and Adjusting Cluster Representations
Section 8: Conducting the Systematic Literature Review (SLR)
Lecture 22 Principles of Systematic Literature Review (SLR)
Lecture 23 Integrating Bibliometric Indicators in SLR
Lecture 24 Holistic Analysis of Clusters
Lecture 25 Conducting a Cluster-Specific Review
Lecture 26 Exploring Interconnections and Overlaps
Section 9: Theory Development - Theorizing with Synthesized Insights
Lecture 27 Understanding Theory Development
Lecture 28 Navigating the Miner-Prospector Continuum
Lecture 29 Mechanisms for Theorization
Section 10: Developing Frameworks, Models, and Research Agendas
Lecture 30 Creating Taxonomies and Alternative Models
Lecture 31 Exploring Metatheory Development
Lecture 32 Research Agenda Creation and Future Directions
Researchers and Academics:,Graduate and PhD Students,Early-Career Researchers,Anyone Interested in Research Methodologies,Interdisciplinary Researchers
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