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All Journal International Journal of Economics, Management, Business, and Social Science
Yartono , Nungki
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Analyzing Startup Financing Models In Indonesia: A Bibliometric Study Elwisam; Digdowiseiso , Kumba; Yartono , Nungki
INTERNATIONAL JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND SOCIAL SCIENCE (IJEMBIS) Vol. 3 No. 3 (2023): September 2023
Publisher : CV ODIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59889/ijembis.v3i3.226

Abstract

This research uses bibliometric analysis to investigate research developments related to startup financing models in Indonesia from 2016 to 2023. Bibliographic data was obtained through Semantic Scholar with the key term "Startup Financing Models in Indonesia." Quantitative analysis and VosViewer software are used to identify publication patterns, research growth, and contributions of leading authors, journals, and institutions. The results show variations in researcher interest from year to year, with a significant increase in 2020 but a sharp decrease in 2022-2023. Co-citation and co-authorship analysis helps identify relationships between researchers, articles, and concepts that are frequently mentioned together. Knowledge mapping via VosViewer produces four main clusters: startups, MSMEs, financing, and data; quantitative approach and secondary data; returns, assets, and ROA; as well as funds and financing that perform well. The overlay and density visualization of research themes shows changes in terms over time and identifies themes that have not been widely explored.
The Risks of Digital Marketing in Indonesia: A Bibliometric Analysis Yartono , Nungki; Digdowiseiso , Kumba
INTERNATIONAL JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND SOCIAL SCIENCE (IJEMBIS) Vol. 3 No. 3 (2023): September 2023
Publisher : CV ODIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59889/ijembis.v3i3.227

Abstract

Digital marketing uses digital technology in the business world. The use of digital technology in marketing is also considered more advanced when compared to conventional marketing, so that 63.52% of digital users utilize digital technology for marketing. However, on the other hand, digital technology increases security risks. Therefore, an in-depth study of the risks of digital marketing in Indonesia is needed. The method used is bibliometric analysis with clustering and density models. The data needed comes from scientific literature which is available from crossref. The tools used for analysis consist of perish or publish and VOSviewer. Based on bibliometric analysis with a network visualization model, there are five keyword clusters that frequently appear, the first cluster is shown in red, which contains 10 keywords. The second cluster, shown in green, contains 10 keywords. The third cluster shown in blue contains 6 keywords. The fourth cluster shown in yellow contains 5 keywords. The fifth cluster shown in purple contains 2 keywords. Based on density analysis, the topics often discussed in studies of the determinants of e-commerce development consist of 30 words with the main word being digital marketing.
Co-Authors Digdowiseiso , Kumba Elwisam