The Influence of Electronic Word of Mouth on Purchasing Decisions with Attractive Streamers as a Moderating Variable

This research is a quantitative study with an explanatory approach that has the mission to create new hypotheses, modify hypotheses, and prove hypotheses by relying on previous studies. The data used in this study is secondary data obtained from various credible sources, such as books, scientific articles, magazines, and so on. The result in this article show that the Electronic Word of Mouth variable can have a positive relationship and a significant influence on Purchasing Decisions. This is because the P-Values in the table are positive and below the 0.05 significance level, namely 0.012. These results are in line with several previous studies, namely the research of (I Gusti et al. 2022); (Triwisnu Ronoprasetyo 2018) & (Alrwashdeh 2019). These results mean that better Electronic Word of Mouth by a company can increase the product's market share, increase public recognition, and ultimately increase the number of consumers who make purchasing decisions. In the next row, the Attractive Streamer variable can also moderate the influence of the Electronic Word of Mouth variable on Purchasing Decisions because the P-Values are positive and below the 0.05 significance level, namely 0.000.

Authors

Institutions

Publication Details

Journal
Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Published
2025-08-14
DOI
https://doi.org/10.31004/jerkin.v4i1.2269
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Influence of Electronic Word of Mouth on Purchasing Decisions with Attractive Streamers as a Moderating Variable

Septi Wifasari, M. Anwar Aini, Rahmat Aji Nuryakin, Udi Iswadi et al.
Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Digital Marketing and Social Media
article

The Influence of Electronic Word of Mouth on Purchasing Decisions with Attractive Streamers as a Moderating Variable

Septi Wifasari, M. Anwar Aini, Rahmat Aji Nuryakin, Udi Iswadi, Muhammad Aqshel Revinzky
article en

Abstract

This research is a quantitative study with an explanatory approach that has the mission to create new hypotheses, modify hypotheses, and prove hypotheses by relying on previous studies. The data used in this study is secondary data obtained from various credible sources, such as books, scientific articles, magazines, and so on. The result in this article show that the Electronic Word of Mouth variable can have a positive relationship and a significant influence on Purchasing Decisions. This is because the P-Values in the table are positive and below the 0.05 significance level, namely 0.012. These results are in line with several previous studies, namely the research of (I Gusti et al. 2022); (Triwisnu Ronoprasetyo 2018) & (Alrwashdeh 2019). These results mean that better Electronic Word of Mouth by a company can increase the product's market share, increase public recognition, and ultimately increase the number of consumers who make purchasing decisions. In the next row, the Attractive Streamer variable can also moderate the influence of the Electronic Word of Mouth variable on Purchasing Decisions because the P-Values are positive and below the 0.05 significance level, namely 0.000.

Jurnal Pengabdian Masyarakat dan Riset PendidikanVol. 4(1)
University of Lusaka (ZM), Al-Khair University (PK), Institut Bisnis dan Teknologi Pelita Indonesia (ID), Padjadjaran University (ID)
Universitas Islam Riau, Universitas Negeri Yogyakarta
Openalex Percentile: Top 71%
Digital Marketing and Social Media
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.