Customer preference analysis on fashion online shops using the kano model and conjoint analysis
Nurza Dwi Prisca Faradilla, Shabila Anjani (Faculty of Engineering, Universitas Indonesia, 2015)
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Online business or e-commerce is now very popular and is a growing industry in Indonesia. Although the growth is high with a 15% rise from 2011, it is found that only 57% of the Indonesians used the Internet for online shopping (MasterCard, 2012). To increase purchases through online stores, a study on customer satisfaction is needed. This study designs a preferred service for fashion online shops based on customer preferences, which would then increase customer satisfaction. By analyzing service attributes that enhance satisfaction for online customers, a suitable service for fashion online shops could be generated. The Kano model is used to classify which service attributes are important for improving and developing the quality of fashion online shops. To understand customer preferences for fashion online shops, conjoint analysis is used to calculate the preferences statistically. |
No. Panggil : | UI-IJTECH 6:5 (2015) |
Entri utama-Nama orang : | |
Subjek : | |
Penerbitan : | Depok: Faculty of Engineering, Universitas Indonesia, 2015 |
Sumber Pengatalogan : | LibUI eng rda |
ISSN : | 20869614 |
Majalah/Jurnal : | International Journal of Technology |
Volume : | Vol. 6, No. 5, December 2015: Hal. 881-885 |
Tipe Konten : | text |
Tipe Media : | unmediated |
Tipe Carrier : | volume |
Akses Elektronik : | https://doi.org/10.14716/ijtech.v6i5.1891 |
Institusi Pemilik : | Universitas Indonesia |
Lokasi : | Perpustakaan UI, Lantai 4 R. Koleksi Jurnal |
No. Panggil | No. Barkod | Ketersediaan |
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UI-IJTECH 6:5 (2015) | 08-23-40720506 | TERSEDIA |
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