Factors Influencing Purchase Decisions on Amazon: Analyzing the Role of Delivery, Information Quality, Reviews, and Recommendations.

E-commerce platforms like Amazon have transformed the way customers make purchase decisions by leveraging various factors that influence consumer behavior. This study explores the impact of Amazon’s delivery quality, information quality, reviews and ratings, and personal recommendations on customer purchasing decisions. Efficient and timely delivery enhances customer trust and satisfaction, reducing hesitation in completing a purchase. Information quality, including accurate product descriptions, images, and specifications, helps customers make informed choices. Reviews and ratings serve as social proof, significantly influencing buyers by providing insights from previous customers. Personal recommendations, driven by Amazon’s algorithms, enhance the shopping experience by suggesting relevant products based on browsing history and preferences. Together, these factors create a seamless and personalized shopping journey, ultimately driving higher purchase conversions. This study attempts to provide important insights into Amazon’s strategy for comprehending and satisfying consumer wants, as well as the ramifications for the business and the larger e-commerce sector, through a combination of qualitative and quantitative analysis. Understanding these influences can help businesses optimize their strategies to improve customer satisfaction and sales.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-27
DOI
https://doi.org/10.5281/zenodo.15095674
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Influencing Purchase Decisions on Amazon: Analyzing the Role of Delivery, Information Quality, Reviews, and Recommendations.

Zenodo (CERN European Organization for Nuclear Research)
Digital Marketing and Social Media
article

Factors Influencing Purchase Decisions on Amazon: Analyzing the Role of Delivery, Information Quality, Reviews, and Recommendations.

article en

Abstract

E-commerce platforms like Amazon have transformed the way customers make purchase decisions by leveraging various factors that influence consumer behavior. This study explores the impact of Amazon’s delivery quality, information quality, reviews and ratings, and personal recommendations on customer purchasing decisions. Efficient and timely delivery enhances customer trust and satisfaction, reducing hesitation in completing a purchase. Information quality, including accurate product descriptions, images, and specifications, helps customers make informed choices. Reviews and ratings serve as social proof, significantly influencing buyers by providing insights from previous customers. Personal recommendations, driven by Amazon’s algorithms, enhance the shopping experience by suggesting relevant products based on browsing history and preferences. Together, these factors create a seamless and personalized shopping journey, ultimately driving higher purchase conversions. This study attempts to provide important insights into Amazon’s strategy for comprehending and satisfying consumer wants, as well as the ramifications for the business and the larger e-commerce sector, through a combination of qualitative and quantitative analysis. Understanding these influences can help businesses optimize their strategies to improve customer satisfaction and sales.

Zenodo (CERN European Organization for Nuclear Research)
Sharda University (IN)
Openalex Percentile: Top 43%
Digital Marketing and Social Media
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.