THE INFLUENCE OF PRODUCT QUALITY AND PROMOTION ON PURCHASE DECISIONS IN THE TIKTOK SHOP ON THE TIKTOK APPLICATION IN THE PGRI MAHADEWA INDONESIA UNIVERSITY ENVIRONMENT

This research aims to determine the influence of product quality and promotions on purchasing decisions at the TikTok shop on the TikTok shop application within the PGRI Mahadewa University, Indonesia. This research uses a quantitative approach through a questionnaire method that took 93 respondents. The results of this research show that (1) There is a partially significant influence between product quality variables on purchasing decisions as seen from the t-test of 14.955 > ttable 1.98 with a significance value of (0.000 < 0.05); (2) There is a partial significant influence between promotional variables on purchasing decisions as seen from the t-test results of 12.254 > ttable 1.98 with a significance value of (0.000 < 0.05); (3) There is a significant simultaneous influence between product quality and promotion variables on purchasing decisions as seen from the Fcount test results of 127.915 < Ftable 3.10 with a significance value of (0.000 < 0.05). The results of the coefficient of determination show that the R Square is 0.740, which means that 74.0% of purchasing decision variables are influenced by product quality and promotion while the remaining 26.0% are influenced by various factors outside the research model.

Authors

Institutions

Publication Details

Journal
Arthaniti Studies
Published
2024-09-30
DOI
https://doi.org/10.59672/arthas.v5i2.4058
Primary Topic
Educational Methods and Impacts
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 PRODUCT QUALITY AND PROMOTION ON PURCHASE DECISIONS IN THE TIKTOK SHOP ON THE TIKTOK APPLICATION IN THE PGRI MAHADEWA INDONESIA UNIVERSITY ENVIRONMENT

I Ketut Sudana, Ni Luh Putu Yesy Anggreni, Lusia Ayu Anggraini Ayu
Arthaniti Studies
Educational Methods and Impacts
article

THE INFLUENCE OF PRODUCT QUALITY AND PROMOTION ON PURCHASE DECISIONS IN THE TIKTOK SHOP ON THE TIKTOK APPLICATION IN THE PGRI MAHADEWA INDONESIA UNIVERSITY ENVIRONMENT

I Ketut Sudana, Ni Luh Putu Yesy Anggreni, Lusia Ayu Anggraini Ayu
article en

Abstract

This research aims to determine the influence of product quality and promotions on purchasing decisions at the TikTok shop on the TikTok shop application within the PGRI Mahadewa University, Indonesia. This research uses a quantitative approach through a questionnaire method that took 93 respondents. The results of this research show that (1) There is a partially significant influence between product quality variables on purchasing decisions as seen from the t-test of 14.955 > ttable 1.98 with a significance value of (0.000 < 0.05); (2) There is a partial significant influence between promotional variables on purchasing decisions as seen from the t-test results of 12.254 > ttable 1.98 with a significance value of (0.000 < 0.05); (3) There is a significant simultaneous influence between product quality and promotion variables on purchasing decisions as seen from the Fcount test results of 127.915 < Ftable 3.10 with a significance value of (0.000 < 0.05). The results of the coefficient of determination show that the R Square is 0.740, which means that 74.0% of purchasing decision variables are influenced by product quality and promotion while the remaining 26.0% are influenced by various factors outside the research model.

Arthaniti StudiesVol. 5(2)
Universitas PGRI Mahadewa Indonesia (ID), Universitat de Barcelona (ES)
Openalex Percentile: Top 58%
Educational Methods and Impacts
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.