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https://doi.org/10.21070/ups.4...
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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The Influence of Electronic Word of Mouth (E-WoM) in Social Media on Investment Decision

Pengaruh Electronic Word of Mouth (E-WoM) di Sosial Media pada Keputusan Investasi
Authors: Amalia Putri Ikasari; Aisha Hanif;

The Influence of Electronic Word of Mouth (E-WoM) in Social Media on Investment Decision

Abstract

The research was conducted aimed to examine the influence of valance of opinion, intensity, and content in electronic word of mouth ((E-WoM) on investment decisions. This research uses a quantitative method. The sample in this study amounted to 400 twitter social media users who are members of the @saham_fess online investment forum selected using simple random sampling technique. The data used in this study are primary data taken by distributing questionnaires via Google Form. The data analysis used in this research is SPSS with the aim of testing the influence of valance of opinion, intensity, and content on investment decisions. The results showed a significant positive influence between valance of opinion, intensity, and content on investment decisions.

Keywords

valance of opinion, investment decisions, content, Electronic word of mouth, intensity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average