Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Harnessing Content, Social Presence, Interactivity, and FOMO to Drive Purchase Intention in Live Shopping Experiences

Authors: Halim, Erwin; Vicky, Vicky; Nuryatama, Irsyad; Hanartyo, Danindra Rasyad Rabbani;

Harnessing Content, Social Presence, Interactivity, and FOMO to Drive Purchase Intention in Live Shopping Experiences

Abstract

In this modern world there are many options to sell, right now the popular one is live stream shopping. Lots of sellers who use live streaming as their selling method are mostly Small Medium Enterprises (SMEs). SMEs are confused and do not know what strategy they want to use for selling to attract more people. This study aims to see how the influence of psychological elements such as content type, social presence, and interactivity can be involved and affect consumers’ sense of FOMO which ultimately impact purchase intention. It explored some variables which drive purchase intention in live shopping experiences. Data was gathered from 340 people who have experience to purchase products via live shopping in April to June 2024 in JABODETABEK area (Jakarta, Bogor, Tangerang, Depok, Bekasi, and several cities) in Indonesia using Purposive sampling method. It processed using Structural Equation Modeling (SEM) with smart PLS SEM 4.0 as tool for the respondents who have experience live streaming shopping and live in Indonesia. This research tests six hypothesis to see the impact of social presence of viewers, social presence of live streaming, perceived interactivity, professional content and humorous content to Fear of Missing Out (FOMO) buying then the impact of FOMO buying to purchase intention in live shopping. The data show that four of six hypotheses have significant impact. Keywords— Power of Content, Social Presence, Interactivity, FOMO, Live Shopping, Purchase Intention

Related Organizations
  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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