Consumer behavior models on online purchase of horticultural commodities

\nAn increase followed the increasing trend of online purchases in online sales platform providers. Increased fraud cases and the ease of use of features on online sales platforms impact consumer behavior in online purchasing decisions for agricultural commodities. This study aims to determine the characteristics of consumers and the stages of consumer purchasing decisions, analyze the influence of trust, ease of use, and lifestyle factors on purchasing decisions, and develop models of consumer purchasing decisions for horticultural commodities online. The research was conducted using a survey method with a purposive sampling method. Data were analyzed descriptively and quantitatively so that a regression model was composed. The model used is multiple linear regression. The results show that the trust variable (X1), ease of use (X2), and lifestyle (X3) have a real influence on purchasing decisions (Y). This study supports the model presented by previous researchers. The practical recommendation from this research is for e-commerce business actors to always maintain their reputation by guaranteeing the trustworthiness of their transactions so that horticultural consumers are willing to make repeat purchase transactions and recommend them to other consumers. Business actors should display application features that are easy to use, practical, and fast. The model shown can be used to develop competitive strategies for improving services to online consumers.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-11
DOI
https://doi.org/10.1051/e3sconf/202457703002/pdf
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumer behavior models on online purchase of horticultural commodities

Springer Link (Chiba Institute of Technology)
Wheat and Barley Genetics and Pathology
article

Consumer behavior models on online purchase of horticultural commodities

article en

Abstract

\nAn increase followed the increasing trend of online purchases in online sales platform providers. Increased fraud cases and the ease of use of features on online sales platforms impact consumer behavior in online purchasing decisions for agricultural commodities. This study aims to determine the characteristics of consumers and the stages of consumer purchasing decisions, analyze the influence of trust, ease of use, and lifestyle factors on purchasing decisions, and develop models of consumer purchasing decisions for horticultural commodities online. The research was conducted using a survey method with a purposive sampling method. Data were analyzed descriptively and quantitatively so that a regression model was composed. The model used is multiple linear regression. The results show that the trust variable (X1), ease of use (X2), and lifestyle (X3) have a real influence on purchasing decisions (Y). This study supports the model presented by previous researchers. The practical recommendation from this research is for e-commerce business actors to always maintain their reputation by guaranteeing the trustworthiness of their transactions so that horticultural consumers are willing to make repeat purchase transactions and recommend them to other consumers. Business actors should display application features that are easy to use, practical, and fast. The model shown can be used to develop competitive strategies for improving services to online consumers.\n

Springer Link (Chiba Institute of Technology)
Zero hunger
Openalex Percentile: Top 38%
Wheat and Barley Genetics and Pathology
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.