DETAIL KOLEKSI

Konsekuensi dari crm dan customer trust pada aplikasi transportasi online di indonesia


Oleh : Riski Yudiatama

Info Katalog

Penerbit : FEB - Usakti

Kota Terbit : Jakarta

Tahun Terbit : 2024

Pembimbing 1 : Asep Hermawan

Subyek : Customer loyalty;Customer relation

Kata Kunci : customer knowledge, customer orientation, customer advocacy, customer engagement, customer trust, Cu

Status Posting : Published

Status : Lengkap


File Repositori
No. Nama File Hal. Link
1. 2024_SK_SMJ_022002005016_Halaman-Judul.pdf 11
2. 2024_SK_SMJ_022002005016_Surat-Pernyataan-Revisi-Terakhir.pdf 1
3. 2024_SK_SMJ_022002005016_Surat-Hasil-Similaritas.pdf 1
4. 2024_SK_SMJ_022002005016_Halaman-Pernyataan-Persetujuan-Publikasi-Tugas-Akhir-untuk-Kepentingan-Akademis.pdf 1
5. 2024_SK_SMJ_022002005016_Lembar-Pengesahan.pdf 6
6. 2024_SK_SMJ_022002005016_Pernyataan-Orisinalitas.pdf 1
7. 2024_SK_SMJ_022002005016_Formulir-Persetujuan-Publikasi-Karya-Ilmiah.pdf 1
8. 2024_SK_SMJ_022002005016_Bab-1.pdf 12
9. 2024_SK_SMJ_022002005016_Bab-2.pdf
10. 2024_SK_SMJ_022002005016_Bab-3.pdf
11. 2024_SK_SMJ_022002005016_Bab-4.pdf
12. 2024_SK_SMJ_022002005016_Bab-5.pdf
13. 2024_SK_SMJ_022002005016_Daftar-Pustaka.pdf
14. 2024_SK_SMJ_022002005016_Lampiran.pdf

P enelitian ini bertujuan untuk menganalisis pengaruh Customer Knowledge, Customer Orientation, Customer Advocacy, Customer Engagement, dan Customer Trust terhadap Customer Loyalty. Penelitian ini memperoleh data dengan cara menyebarkan kuesioner secara online kepada individu yang adalah pengguna aplikasi transportasi online. Penelitian ini menggunakan metode non probability sampling, dengan teknik puposive sampling. Sampel yang digunakan dalam penelitian ini sebanyak 200 responden. Metode analisis data yang digunakan adalah Structural Equation Model (SEM) dengan menggunakan software AMOS 21. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh positif dari Customer Knowledge, Customer Advocacy, dan Customer Trust terhadap Customer Loyalty. Sedangkan Customer Orientation dan Customer Engagement dinyatakan tidak memiliki pengaruh positif terhadap Customer Loyalty.

T his research aims to analyze the influence of Customer Knowledge, Customer Orientation, Customer Advocacy, Customer Engagement, and Customer Trust on Customer Loyalty. This research obtained data by distributing questionnaires online to individuals who are users of online transportation applications. This research uses a non-probability sampling method, with a purposive sampling technique. The sample used in this research was 200 respondents. The data analysis method used is Structural Equation Model (SEM) using AMOS 21 software. The results of this research show that there is a positive influence of Customer Knowledge, Customer Advocacy, and Customer Trust on Customer Loyalty. Meanwhile, Customer Orientation and Customer Engagement were stated to have no positive influence on Customer Loyalty.

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