2014Unpublished venueRequires access

Relationship between Reviews at App Store and the Categories for Software

Megumi Wano, Jun Iio

Open publisher page 5 citations

Abstract

The purpose of this study is making clear factors of what affects the contents of software reviews posted by customers at electronic commerce (e-Commerce) websites. Frequent referring to such reviews helps people to buy something. However, it is considered difficult to judge the quality of contents with reviews completely, because conditions for each software, such as, published data, categories, prices, are not equal. The result of this study has revealed that review styles are different with software categories, so that this paper concludes that consumers should pay attention to the bias of the reviews. Hereafter, it will be useful to investigate how to read reviews for not only consumers but also sellers, who want to know a value of software as well.

About this research paper

What this paper is about

The purpose of this study is making clear factors of what affects the contents of software reviews posted by customers at electronic commerce (e-Commerce) websites. Frequent referring to such reviews helps people to buy something. However, it is considered difficult to judge the quality of contents with reviews completely, because conditions for each software, such as, published data, categories, prices, are not equal. The result of this study has revealed that review styles are different with software categories, so that this paper concludes that consumers should pay attention to the bias of the reviews. Hereafter, it will be useful to investigate how to read reviews for not only consumers but also sellers, who want to know a value of software as well.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The purpose of this study is making clear factors of what affects the contents of software reviews posted by customers at electronic commerce (e-Commerce) websites. Frequent referring to such reviews helps people to buy something. However, it is considered difficult to judge the quality of contents with reviews completely, because conditions for each software, such as, published data, categories, prices, are not equal. The result of this study has revealed that review styles are different with software categories, so that this paper concludes that consumers should pay attention to the bias of the reviews. Hereafter, it will be useful to investigate how to read reviews for not only consumers but also sellers, who want to know a value of software as well.

Key concepts: Software, Value (mathematics), Computer science, Quality (philosophy), Software review, World Wide Web, App store, Data science

Related papers

Back to paper searchBrowse research topicsOriginal source
Relationship between Reviews at App Store and the Categories for Software — Research Paper | ScholarLens