An Overview and Guide to Bibliometric Analysis for Digital Business

Autores/as

  • Asti Marlina Department of Digital Business, Universitas Ibn Khaldun Bogor, Bogor, Indonesia
  • Ritzkal [1]- Department of Informatics Engineering, Universitas Ibn Khaldun Bogor, Bogor, Indonesia | [2]- Department Computer Science, Dian Nuswantoro University, Semarang, Indonesia
  • Leny Muniroh Department of Digital Business, Universitas Ibn Khaldun Bogor, Bogor, Indonesia
  • Widhi Ariyo Bimo Department of Digital Business, Universitas Ibn Khaldun Bogor, Bogor, Indonesia
  • Hanif Zaidan Sinaga Department of Digital Business, Universitas Ibn Khaldun Bogor, Bogor, Indonesia https://orcid.org/0009-0001-2389-2924
  • Hendri Maulana Department of Digital Business, Universitas Ibn Khaldun Bogor, Bogor, Indonesia
  • Muhamad Rafi Ulwany Department of Digital Business, Universitas Ibn Khaldun Bogor, Bogor, Indonesia

Palabras clave:

Biblionmetrix, SLR, Gap, Visualization

Resumen

Bibliometric analysis is a research technique that examines and quantifies the quantitative traits of scientific publications using bibliographic information and bibliometric measures. To identify patterns, trends, and links between academic publications within a study topic or on a more general level is the primary goal of bibliometric analysis. This study looks into research gaps in digital business that are given as qualitative data in numerous research articles. The systematic literature review (SLR) method is used in this study to assess qualitative data. To investigate the research gap, three stages are taken: Data collection, bibliometric data analysis, and visualization are the first two steps. Data collecting, bibliometric data analysis, and bibliometric data visualization are the three procedures done to investigate the research gap. The outcomes of this SLR study are: (1) topic trends with relevant words are tracked; (2) popular themes are obtained and the research's direction is determined; and (3) statistical analysis results are obtained on research subjects.

Publicado

2023-09-20

Cómo citar

Marlina, A., Ritzkal, Muniroh, L., Bimo, W. A., Sinaga, H. Z., Maulana, H., & Ulwany, M. R. (2023). An Overview and Guide to Bibliometric Analysis for Digital Business. KEPES, 21(3), 588–603. Recuperado a partir de https://scholopress.com/kepes-journal/article/view/175

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Articles