Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment

Wael Jabr; Zhiqiang Zheng

doi:10.25300/MISQ/2014/38.3.01

Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment

Wael Jabr, Zhiqiang Zheng

Supply Chain and Information Systems

Research output: Contribution to journal › Article › peer-review

126 Scopus citations

Abstract

Reviews and product recommendations at online stores enable customers to readily evaluate alternative products prior to purchase. In this context, firms generate recommendations referring customers to a wider variety of products. They also display customer-generated online reviews in order to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-à-vis competing products. We use a dataset we collected from Amazon.com consisting of books, sales ranks, recommendations, reviews, and reviewers. We derive the granular impact of reviews, product referrals, and reviewer opinions on product sale dynamics within a competitive market using comprehensive econometric analyses.

Original language	English (US)
Pages (from-to)	635-654
Number of pages	20
Journal	MIS Quarterly: Management Information Systems
Volume	38
Issue number	3
DOIs	https://doi.org/10.25300/MISQ/2014/38.3.01
State	Published - Sep 1 2014

All Science Journal Classification (ASJC) codes

Management Information Systems
Information Systems
Computer Science Applications
Information Systems and Management

Access to Document

10.25300/MISQ/2014/38.3.01

Cite this

@article{3d5c39e269ae48ed9fd17ef7c70c7569,

title = "Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment",

abstract = "Reviews and product recommendations at online stores enable customers to readily evaluate alternative products prior to purchase. In this context, firms generate recommendations referring customers to a wider variety of products. They also display customer-generated online reviews in order to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-{\`a}-vis competing products. We use a dataset we collected from Amazon.com consisting of books, sales ranks, recommendations, reviews, and reviewers. We derive the granular impact of reviews, product referrals, and reviewer opinions on product sale dynamics within a competitive market using comprehensive econometric analyses.",

author = "Wael Jabr and Zhiqiang Zheng",

year = "2014",

month = sep,

day = "1",

doi = "10.25300/MISQ/2014/38.3.01",

language = "English (US)",

volume = "38",

pages = "635--654",

journal = "MIS Quarterly: Management Information Systems",

issn = "0276-7783",

publisher = "Management Information Systems Research Center",

number = "3",

}

TY - JOUR

T1 - Know yourself and know your enemy

T2 - An analysis of firm recommendations and consumer reviews in a competitive environment

AU - Jabr, Wael

AU - Zheng, Zhiqiang

PY - 2014/9/1

Y1 - 2014/9/1

N2 - Reviews and product recommendations at online stores enable customers to readily evaluate alternative products prior to purchase. In this context, firms generate recommendations referring customers to a wider variety of products. They also display customer-generated online reviews in order to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-à-vis competing products. We use a dataset we collected from Amazon.com consisting of books, sales ranks, recommendations, reviews, and reviewers. We derive the granular impact of reviews, product referrals, and reviewer opinions on product sale dynamics within a competitive market using comprehensive econometric analyses.

AB - Reviews and product recommendations at online stores enable customers to readily evaluate alternative products prior to purchase. In this context, firms generate recommendations referring customers to a wider variety of products. They also display customer-generated online reviews in order to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-à-vis competing products. We use a dataset we collected from Amazon.com consisting of books, sales ranks, recommendations, reviews, and reviewers. We derive the granular impact of reviews, product referrals, and reviewer opinions on product sale dynamics within a competitive market using comprehensive econometric analyses.

UR - http://www.scopus.com/inward/record.url?scp=84961288481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961288481&partnerID=8YFLogxK

U2 - 10.25300/MISQ/2014/38.3.01

DO - 10.25300/MISQ/2014/38.3.01

M3 - Article

AN - SCOPUS:84961288481

SN - 0276-7783

VL - 38

SP - 635

EP - 654

JO - MIS Quarterly: Management Information Systems

JF - MIS Quarterly: Management Information Systems

IS - 3

ER -

Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this