A Comprehensive Guide to Bibliometric Analysis for Advancing Research in Digital Business

Bibliometric analysis is a quantitative research method employed to measure and assess the impact, structure, and trends within academic publications.It aims to uncover patterns, connections, and research gaps either within a specific field or across interdisciplinary domains.This study utilizes bibliometric methods to investigate research gaps within the digital business domain, focusing on qualitative insights identified in existing literature.A systematic literature review (SLR) approach is adopted to ensure a rigorous synthesis of relevant studies.The analysis follows three key phases: data collection, bibliometric evaluation, and data visualization.Through these phases, trends, thematic gaps, and areas for future exploration are identified, offering a clearer understanding of the evolution and direction of digital business research.The insights derived are intended to inform sustainable business practices, with implications for environmentally conscious business models, value-driven marketing strategies, and the integration of sustainable operations.Moreover, the findings highlight potential avenues for enhanced technological innovation and interdisciplinary collaboration in digital business.This study provides a robust framework for scholars seeking to explore uncharted areas within digital business and offers actionable guidance on key research themes requiring further investigation.The use of bibliometric tools ensures comprehensive coverage of existing literature and fosters the development of a coherent research agenda aligned with emerging trends in the field.

Authors

Institutions

Publication Details

Journal
Journal of Intelligent Management Decision
Published
2024-09-30
DOI
https://doi.org/10.56578/jimd030305
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Guide to Bibliometric Analysis for Advancing Research in Digital Business

Asti Marlina, Widhi Ariyo Bimo, Hanif Zaidan Sinaga, Hendri Maulana et al.
Journal of Intelligent Management Decision
Big Data and Business Intelligence
article

A Comprehensive Guide to Bibliometric Analysis for Advancing Research in Digital Business

Asti Marlina, Widhi Ariyo Bimo, Hanif Zaidan Sinaga, Hendri Maulana, Ritzkal Ritzkal, Damara Tri Fazriansyah
article en

Abstract

Bibliometric analysis is a quantitative research method employed to measure and assess the impact, structure, and trends within academic publications.It aims to uncover patterns, connections, and research gaps either within a specific field or across interdisciplinary domains.This study utilizes bibliometric methods to investigate research gaps within the digital business domain, focusing on qualitative insights identified in existing literature.A systematic literature review (SLR) approach is adopted to ensure a rigorous synthesis of relevant studies.The analysis follows three key phases: data collection, bibliometric evaluation, and data visualization.Through these phases, trends, thematic gaps, and areas for future exploration are identified, offering a clearer understanding of the evolution and direction of digital business research.The insights derived are intended to inform sustainable business practices, with implications for environmentally conscious business models, value-driven marketing strategies, and the integration of sustainable operations.Moreover, the findings highlight potential avenues for enhanced technological innovation and interdisciplinary collaboration in digital business.This study provides a robust framework for scholars seeking to explore uncharted areas within digital business and offers actionable guidance on key research themes requiring further investigation.The use of bibliometric tools ensures comprehensive coverage of existing literature and fosters the development of a coherent research agenda aligned with emerging trends in the field.

Journal of Intelligent Management DecisionVol. 3(3)
Universitas Ibn Khaldun Bogor (ID)
Decent work and economic growth
Openalex Percentile: Top 72%
Big Data and Business Intelligence
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.