E-commerce and woman entrepreneurs: A data mining of e-commerce statistics in Indonesia
| Main Author: | Gunawan, Gunawan |
|---|---|
| Format: | Proceeding PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
, 2022
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| Subjects: | |
| Online Access: |
http://repository.ubaya.ac.id/42046/ https://doi.org/10.1109/IRTM54583.2022.9791523 |
Daftar Isi:
- 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.