Digital Marketing and Artificial Intelligence on Purchasing Decision in the Shopee App

In this digital era, the role of e-commerce, especially Shopee, has grown so fast and has an important role in people's daily lives, the features created to make it easier for people to make purchases have encouraged people to continue making purchases. This study aims to determine whether digital marketing and artificial intelligence have a significant effect on purchasing decisions in the Shopee application. This study uses quantitative data with the population being people in the Medan Baru area totaling 36,191. The sample was obtained using the slovin formula as many as 100 respondents. The data collection technique uses judgmental or purposive sampling. The results showed that digital marketing (X1) and artificial intelligence (X2) had a positive and significant effect partially or simultaneously on purchasing decisions (Y). The results of the coefficient of determination (R2) test show that there is a relationship between the variables digital marketing (X1) and artificial intelligence (X2) with purchasing decisions (Y) in the Shopee application. Shopee is expected to utilize artificial intelligence (X2) as a customer assistance tool and maintain digital marketing (X1). This involves various aspects of technology in the Shopee application with the aim of increasing customer convenience and increasing company marketing.

Authors

Institutions

Publication Details

Journal
Proceeding International Business and Economic Conference.
Published
2024-12-30
DOI
https://doi.org/10.47663/ibec.v3i1.213
Primary Topic
Consumer Behavior and Marketing Influence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Marketing and Artificial Intelligence on Purchasing Decision in the Shopee App

Dedy Lazuardi, Zhensen
Proceeding International Business and Economic Conference.
Consumer Behavior and Marketing Influence
article

Digital Marketing and Artificial Intelligence on Purchasing Decision in the Shopee App

Dedy Lazuardi, Zhensen
article en

Abstract

In this digital era, the role of e-commerce, especially Shopee, has grown so fast and has an important role in people's daily lives, the features created to make it easier for people to make purchases have encouraged people to continue making purchases. This study aims to determine whether digital marketing and artificial intelligence have a significant effect on purchasing decisions in the Shopee application. This study uses quantitative data with the population being people in the Medan Baru area totaling 36,191. The sample was obtained using the slovin formula as many as 100 respondents. The data collection technique uses judgmental or purposive sampling. The results showed that digital marketing (X1) and artificial intelligence (X2) had a positive and significant effect partially or simultaneously on purchasing decisions (Y). The results of the coefficient of determination (R2) test show that there is a relationship between the variables digital marketing (X1) and artificial intelligence (X2) with purchasing decisions (Y) in the Shopee application. Shopee is expected to utilize artificial intelligence (X2) as a customer assistance tool and maintain digital marketing (X1). This involves various aspects of technology in the Shopee application with the aim of increasing customer convenience and increasing company marketing.

Proceeding International Business and Economic Conference.Vol. 3(1)
Universitas Patria Artha (ID)
Openalex Percentile: Top 55%
Consumer Behavior and Marketing Influence
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.