Artículo

A Bibliometric Analysis on Pay-per-Click as an Instrument for Digital Entrepreneurship Management Using VOSviewer and SCOPUS Data Analysis Tools

Resumen

Network data maps constitute a practical visual data-classification tool in structuring complex research literature endowed with multiple economic, social, and psychological relationships, as happens with the evolution of digital entrepreneurship as a research topic in the COVID-19 era. Has the digitalization process, accelerated by COVID-19, influenced entrepreneurship by strengthening digital entrepreneurship worldwide? Is innovation the most-cited keyword in the digital entrepreneurship-related literature published in the SCOPUS database from 2001 onwards? Does pay-per-click as an instrument for digital entrepreneurship management foster sustainable development? To answer these questions, we combine a software tool for constructing and visualizing bibliometric networks, VOSviewer version 1.6.18, with the SCOPUS bibliographic data tool to investigate the keyword ‘digital entrepreneurship.’ As a result, we obtained 2154 documents in the SCOPUS database for 2001–2022 in all 27 subject areas, of which 1055 documents were from BMA (Business, Management, and Accounting) and EEF (Economics, Econometrics, and Finance) areas. Regarding the keyword ‘pay-per-click,’ we obtained 63 papers for 2005–2022 from BMA and EEF subject areas. We find that there is a growing interest in researching digital entrepreneurship led by authors from the European Union and followed by the United States; innovation is the most-cited keyword in documents related to digital entrepreneurship, and researchers worldwide are giving more importance to the process of digitalization compared to the link between educational, economic, and technological factors and digital entrepreneurship. Regarding ‘pay-per-click,’ we find that the literature published on this topic is broadly based on the US, and given the small number of publications on this issue, it is a research area with great potential to investigate and publish about it.
Avelar, Sónia (57340492800); Tiago, Flávio (36461770200); Couto, João Pedro (23018098700); Borges-Tiago, Teresa (58973945500)
Human Resources Literature After Covid-19: A Human Versus AI Analysis
2024
10.1007/978-3-031-51038-0_31
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196802281&doi=10.1007%2f978-3-031-51038-0_31&partnerID=40&md5=a82350b77d56a04928c242ce3b637011
School of Business and Economics, University of the Azores, Ponta Delgada, 9500-801, Portugal
All Open Access; Hybrid Gold Open Access
Scopus
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