Assessment, Implication, and Analysis of Online Consumer Reviews: A Literature Review

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Oshin Anand, Praveen Ranjan Srivastava, A. Rakshit
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引用次数: 5

Abstract

The onset of e-marketplace, virtual communities and social networking has appreciated the influential capability of online consumer reviews (OCR) and therefore necessitate conglomeration of the body of knowledge. This article attempts to conceptually cluster academic literature in both management and technical domain. The study follows a framework which broadly clusters management research under two heads: OCR Assessment and OCR Implication (business implication). Parallel technical literature has been reviewed to reconcile methodologies adopted in the analysis of text content on the web, majorly reviews. Text mining through automated tools, algorithmic contribution (dominant majorly in technical stream literature) and manual assessment (derived from the stream of content analysis) has been studied in this review article. Literature survey of both the domains is analyzed to propose possible area for further research. Usage of text analysis methods along with statistical and data mining techniques to analyze review text and utilize the knowledge creation for solving managerial issues can possibly constitute further work.
在线消费者评论的评估、含义和分析:一篇文献综述
随着电子市场、虚拟社区和社交网络的兴起,人们认识到在线消费者评论(OCR)的影响力,因此有必要聚集知识体系。本文试图从概念上对管理和技术领域的学术文献进行聚类。该研究遵循了一个框架,该框架将管理研究大致分为两大类:OCR评估和OCR含义(业务含义)。平行的技术文献已经被审查,以协调在网络上的文本内容分析中采用的方法,主要是审查。通过自动化工具、算法贡献(主要在技术流文献中占主导地位)和手动评估(源自内容分析流)进行的文本挖掘已经在这篇综述文章中进行了研究。对这两个领域的文献综述进行了分析,提出了可能进一步研究的领域。使用文本分析方法以及统计和数据挖掘技术来分析评论文本并利用知识创造来解决管理问题可能是进一步的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
33.30%
发文量
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