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
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Pengaruh Live Streaming Shopping Dan Promosi Penjualan Terhadap Keputusan Pembelian Produk Fashion Pada Aplikasi Tiktok Shop Tahun 2023

Authors: Amin, Muhammad Miftakhul; Taufiqurahman, Endang;

Pengaruh Live Streaming Shopping Dan Promosi Penjualan Terhadap Keputusan Pembelian Produk Fashion Pada Aplikasi Tiktok Shop Tahun 2023

Abstract

This research aims to understand the correlation, partial influence, and simultaneous influence of Live Streaming Shopping and Sales Promotion on Fashion Product Purchase Decisions on the TikTok Shop Application in 2023. The research method uses a descriptive and verification quantitative approach. The sample in this study was 385 respondents taken from the unlimited population of TikTok users in Indonesia using the Lemeshow formula. The sampling technique in this study used a non-probability sampling technique with a purposive sampling method. Data analysis in this research uses path analysis and hypothesis testing using the t test and f test. By using Microsoft Excel tools, Method of Successive Interval (MSI), and the SPSS application version 25. The results of the analysis of this study show that the correlation between Live Streaming Shopping and Sales Promotion is strong, with a coefficient of 0.652, which indicates a positive and significant relationship. Live Streaming Shopping has a partial effect of 26.2% on Purchase Decisions, while Sales Promotions has a partial effect of 35.1%. The simultaneous effect of Live Streaming Shopping and Sales Promotion on Purchasing Decisions is 61.4%, while the remaining 38.6% are other variables not examined in this study.

Related Organizations
Keywords

Sales Promotions, TikTok Shop, Purchase Decisions, Live Streaming Shopping

  • 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