Bibliometric Analysis of Digital Entrepreneurial Education and Student Intention; Reviewed and Analyzed by VOSViewer from Google Scholar

International Journal of Interactive Mobile Technologies

article

Jürgen Bode¹  Muniba²  Syed M. Ahmad Hassan Gillani³  Syed M. Afraz Hassan Gillani⁴  Aslan Bin Amat Senin⁴ 

[1] Department of Management Studies, Hochschule Bonn-Rhein-Sieg University of Applied Sci-ences;Department of Public Administration, Government College University Faisalabad;Lyallpur Business School, Government College University Faisalabad;Azman Hashim International Business School ,(AHIBS), Universiti Teknologi Malaysia

关键词: Entrepreneurial Intention;    Bibliographic Analysis;    Digital Entrepreneurship Education;    VOSviewer;   

DOI  :  10.3991/ijim.v16i13.30619

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

The backdated research dedicated to digital entrepreneurship education is immense, which makes it difficult to create an overview. Conversely, forward-thinking bibliometric visualization mapping and clustering can assist in visualizing and structuring difficult research literature. Hence, the goal of this mapping visualization study is to thoroughly discover and create clusters of EE to convey a taxonomic structure that can oblige as a basis for upcoming research. The analyzed data, which is drawn from Google Scholar through Publish or Perish tool, contain 1000 documents published between 2007 and 2022. This taxonomy should generate stronger bonds with digital entrepreneurial education research; on the other, it should stand in international research association to boost both interdisciplinary digital entrepreneurial education and its influence on a universal basis. This work strengthens student’s understanding of current digital entrepreneurial education research by classifying and decontaminating the most powerful knowledgeable relationship among its contributions and contributors. The bibliographic analysis includes ‘citation network’, ‘author’s research area’ and ‘paper content’ regarding the desired topic. In this paper, the above three mentioned terms are integrated which produces a bibliographic model of authors, titles of their papers, keywords and abstract by using Harzing’s Publish or Perish tool for extracting data from Google Scholar and further using VOSViewer to visualize networking map of co-authorship and term co-occurrence to administer the data for an instinctive and appropriate understanding of university students concerning ‘digital entrepreneurial intention’ research. This paper uses bibliometric analysis to analyze the keyword co-occurrence and co-authorship and VOSViewer is used for visualization.

【 授权许可】

CC BY