E-commerce and woman entrepreneurs: A data mining of e-commerce statistics in Indonesia

Gunawan, Gunawan (2022) E-commerce and woman entrepreneurs: A data mining of e-commerce statistics in Indonesia. In: 2022 Interdisciplinary Research in Technology and Management (IRTM), 24-26 February 2022, Kolkata, India.

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Official URL / DOI: https://doi.org/10.1109/IRTM54583.2022.9791523

Abstract

The rapid ICT development in developing countries has offered people an opportunity to participate in e-commerce. This study departed from an exploratory question in the data mining context: "What information can be revealed regarding women entrepreneurs in e-commerce?" This study adopted a data mining approach, implemented through the Cross-Industry Standard Process for Data Mining framework, using Knime Analytics Platform as a data analysis tool. The context of data analysis is in Indonesia, and the unit of analysis is a province in which the e-commerce related data were aggregated per province. The result revealed that women e-commerce entrepreneurs were likely to have higher educational backgrounds and were younger than men entrepreneurs. In provinces where the percentage of e-commerce firms is low, women entrepreneurs contributed more than men. The finding provided evidence of the role of woman entrepreneurs in e-commerce in the broad country context. The policymakers and agents promoting woman empowerment might focus on facilitating women to enter e-commerce, especially in provinces where e-commerce adoption is low.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: e-commerce, entrepreneur, cluster analysis, data mining, Indonesia
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Industrial Engineering
Depositing User: Gunawan 6182
Date Deposited: 04 Jul 2022 03:21
Last Modified: 04 Jul 2022 03:21
URI: http://repository.ubaya.ac.id/id/eprint/42046

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