Mastering Bibliometric-Systematic Literature Reviews (B-Slr)

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