Reconciling qualitative and quantitative approaches within bibliometrics

Purpose The purpose of this paper is to address common critiques of modern literature reviews, particularly those based on bibliometrics, that often fail to adequately advance theory. It provides details about a structured hybrid methodology that bridges the gap between quantitative analysis and qualitative synthesis to produce higher-quality academic work. Design/methodology/approach This study outlines a comprehensive, three-stage hybrid methodology that integrates bibliometrics, content analysis and integrative analysis. The authors delineate a step-by-step procedure for each stage, including the use of modern software tools, to ensure the process is transparent and reproducible for scholars. Findings The authors find that bibliometric reviews alone result in poor-quality outcomes that might create a skew in the knowledge landscape. This outcome hinders the ability of reviews to make meaningful theoretical contributions and suggests the need for a more integrated approach. Originality/value While the hybrid approach is not new, this paper makes a unique contribution by clearly outlining a parsimonious and accessible framework that has been successfully applied, often implicitly, in high-quality reviews that advance theory. This work serves as a guide for a wider range of scholars to conduct more rigorous and impactful literature reviews.

Authors

Institutions

Publication Details

Journal
Multinational Business Review
Published
2025-12-19
DOI
https://doi.org/10.1108/mbr-02-2025-0043
Citations
1
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reconciling qualitative and quantitative approaches within bibliometrics

Ilan Alon, Bentzion Edgardo Szrajber
1 citations
Multinational Business Review
scientometrics and bibliometrics research
1.40
article

Reconciling qualitative and quantitative approaches within bibliometrics

Ilan Alon, Bentzion Edgardo Szrajber
article en
1 citations

Abstract

Purpose The purpose of this paper is to address common critiques of modern literature reviews, particularly those based on bibliometrics, that often fail to adequately advance theory. It provides details about a structured hybrid methodology that bridges the gap between quantitative analysis and qualitative synthesis to produce higher-quality academic work. Design/methodology/approach This study outlines a comprehensive, three-stage hybrid methodology that integrates bibliometrics, content analysis and integrative analysis. The authors delineate a step-by-step procedure for each stage, including the use of modern software tools, to ensure the process is transparent and reproducible for scholars. Findings The authors find that bibliometric reviews alone result in poor-quality outcomes that might create a skew in the knowledge landscape. This outcome hinders the ability of reviews to make meaningful theoretical contributions and suggests the need for a more integrated approach. Originality/value While the hybrid approach is not new, this paper makes a unique contribution by clearly outlining a parsimonious and accessible framework that has been successfully applied, often implicitly, in high-quality reviews that advance theory. This work serves as a guide for a wider range of scholars to conduct more rigorous and impactful literature reviews.

Multinational Business Review
SGH Warsaw School of Economics (PL), Ariel University (IL)
Openalex Percentile: Top 11%
scientometrics and bibliometrics research
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.