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A Semi-Auto Text Mining Approach for Literature Review: An Example From IT for Entrepreneurship

A Semi-Auto Text Mining Approach for Literature Review: An Example From IT for Entrepreneurship

Yousra Harb, Yanyan Shang
Copyright: © 2022 |Volume: 18 |Issue: 1 |Pages: 16
ISSN: 1548-0666|EISSN: 1548-0658|EISBN13: 9781799893608|DOI: 10.4018/IJKM.291093
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MLA

Harb, Yousra, and Yanyan Shang. "A Semi-Auto Text Mining Approach for Literature Review: An Example From IT for Entrepreneurship." IJKM vol.18, no.1 2022: pp.1-16. http://doi.org/10.4018/IJKM.291093

APA

Harb, Y. & Shang, Y. (2022). A Semi-Auto Text Mining Approach for Literature Review: An Example From IT for Entrepreneurship. International Journal of Knowledge Management (IJKM), 18(1), 1-16. http://doi.org/10.4018/IJKM.291093

Chicago

Harb, Yousra, and Yanyan Shang. "A Semi-Auto Text Mining Approach for Literature Review: An Example From IT for Entrepreneurship," International Journal of Knowledge Management (IJKM) 18, no.1: 1-16. http://doi.org/10.4018/IJKM.291093

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Abstract

The emergence of powerful information technologies (IT) has changed innovation and entrepreneurship in significant ways. Research in IT for entrepreneurship is relatively new and there is a growing interest from academics for further studies on investigating this area of research. This study reviews research carried out in the domain of IT for entrepreneurship. A total of 1005 papers, published between 1980 and 2021 were used to uncover the latent topics addressed in this domain. A topic modeling (LDA) algorithm was used to automate the process of extracting the initial research topics from the data. The results show that IT for entrepreneurship studies are classified into six aspects of research: entrepreneurship initiative and innovation, strategy, business process management and operation management, entrepreneurship education, industry analysis, and business model. The results raise awareness of IT-associated entrepreneurship areas of research, provide useful insights for future research, and informs practice in this domain of study.