The Influence of Electronic Word of Mouth (E-Wom), Brand Image and Product Quality on Buying Interest in Vivo Smartphones in Jakarta

This study is a quantitative research on Consumer Purchase Intention for Vivo Smartphones. The purpose of this research is to determine the effect of independent variables, namely Electronic Word of Mouth (E-WOM), Brand Image, and Product Quality, on the dependent variable, which is Purchase Intention. The population of this study consists of consumers who are aware of and use Vivo smartphones in Jakarta, with a sample size of 126 respondents selected using a non-probability sampling method. This research employs purposive sampling based on predefined criteria. The data for this study were obtained from an online questionnaire (Google Form) distributed to consumers in Jakarta who use and are aware of Vivo smartphones. For data analysis, the author used descriptive and inferential analysis techniques processed through SmartPLS 3.2.9. The study results indicate that (1) Electronic Word of Mouth does not have a positive and significant effect on Purchase Intention, with a path coefficient value of 0.021. (2) Brand Image has a positive and significant effect on Purchase Intention, with a path coefficient value of 0.215. (3) Product Quality has a positive and significant effect on Purchase Intention, with a path coefficient value of 0.593

Authors

Institutions

Publication Details

Journal
International Journal of Asian Business and Management
Published
2024-10-31
DOI
https://doi.org/10.55927/ijabm.v3i5.11983
Primary Topic
Consumer Behavior and Marketing Influence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Influence of Electronic Word of Mouth (E-Wom), Brand Image and Product Quality on Buying Interest in Vivo Smartphones in Jakarta

Maria Assumpta Wikantari, Bernadin Dwi M, Arif Setiawan
International Journal of Asian Business and Management
Consumer Behavior and Marketing Influence
article

The Influence of Electronic Word of Mouth (E-Wom), Brand Image and Product Quality on Buying Interest in Vivo Smartphones in Jakarta

Maria Assumpta Wikantari, Bernadin Dwi M, Arif Setiawan
article en

Abstract

This study is a quantitative research on Consumer Purchase Intention for Vivo Smartphones. The purpose of this research is to determine the effect of independent variables, namely Electronic Word of Mouth (E-WOM), Brand Image, and Product Quality, on the dependent variable, which is Purchase Intention. The population of this study consists of consumers who are aware of and use Vivo smartphones in Jakarta, with a sample size of 126 respondents selected using a non-probability sampling method. This research employs purposive sampling based on predefined criteria. The data for this study were obtained from an online questionnaire (Google Form) distributed to consumers in Jakarta who use and are aware of Vivo smartphones. For data analysis, the author used descriptive and inferential analysis techniques processed through SmartPLS 3.2.9. The study results indicate that (1) Electronic Word of Mouth does not have a positive and significant effect on Purchase Intention, with a path coefficient value of 0.021. (2) Brand Image has a positive and significant effect on Purchase Intention, with a path coefficient value of 0.215. (3) Product Quality has a positive and significant effect on Purchase Intention, with a path coefficient value of 0.593

International Journal of Asian Business and ManagementVol. 3(5)
Universitas Pembangunan Nasional Veteran Jakarta (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 72%
Consumer Behavior and Marketing Influence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.