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Factors Affecting Online Purchase Decision, Customer Satisfaction, and Brand Loyalty: An Empirical Study from Indonesia's Biggest E-Commerce 원문보기

유통과학연구 = Journal of distribution science, v.20 no.11, 2022년, pp.33 - 45  

HARTANTO, Nico (Communication Department, BINUS Graduate Program, Master of Strategic Marketing Communication, Bina Nusantara University) ,  MANI, La (Communication Department, BINUS Graduate Program, Bina Nusantara University) ,  JATI, Mustika (Communication Department, BINUS Graduate Program, Master of Strategic Marketing Communication, Bina Nusantara University) ,  JOSEPHINE, Ruth (Communication Department, BINUS Graduate Program, Master of Strategic Marketing Communication, Bina Nusantara University) ,  HIDAYAT, Z. (Communication Department, BINUS Graduate Program, Bina Nusantara University)

Abstract AI-Helper 아이콘AI-Helper

Purpose: The development of online shopping trends in Indonesia is increasing, and Tokopedia is becoming one of the most popular e-commerce websites. The purpose of this study is to obtain empirical evidence whether mobile shopping, customer review, perceived credibility, and Korean celebrity endors...

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표/그림 (12)

AI 본문요약
AI-Helper 아이콘 AI-Helper

대상 데이터

  • This study aims to empirically examine whether mobile shopping, customer review, perceived credibility, and Korean celebrity endorsement have positive effects on online purchase decision of Tokopedia customers in Jakarta; whether online purchase decision positively affects customer satisfaction of Tokopedia customers in Jakarta; and whether customer satisfaction has a positive effect on brand loyalty of Tokopedia customers in Jakarta. Respondents in this study were 385 Tokopedia customers who live in Jakarta. Hypothesis testing, processing, and data analysis were undertaken using the PLS or Partial Least Square statistical method using the SmartPLS version 3.

데이터처리

  • Respondents in this study were 385 Tokopedia customers who live in Jakarta. Hypothesis testing, processing, and data analysis were undertaken using the PLS or Partial Least Square statistical method using the SmartPLS version 3.0 application program.
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