What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM

被引:694
作者
Filieri, Raffaele [1 ]
机构
[1] Northumbria Univ, Newcastle Business Sch, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
关键词
Electronic word of mouth; Online consumer reviews; User-generated content; Dual-process theory; Information diagnosticity; Information adoption; WORD-OF-MOUTH; CONSUMER REVIEWS; PERCEIVED USEFULNESS; MODERATING ROLE; PRODUCT; IMPACT; CREDIBILITY; TRUSTWORTHINESS; RECOMMENDATIONS; SALES;
D O I
10.1016/j.jbusres.2014.11.006
中图分类号
F [经济];
学科分类号
020101 [政治经济学];
摘要
Consumers are increasingly using online consumer reviews (OCRs) to learn about product quality. It is thus paramount for marketers to understand what makes OCRs helpful to consumers and how this evaluation affects their decisions. Dual-process theory has been adopted in this study to investigate the informational and normative predictors of information diagnosticity and its links with consumers' information adoption. The findings suggest that consumers are primarily influenced by the quality of information and subsequently influenced by customer ratings and overall rankings. These results imply that both of the aforementioned informational and normative cues are critical to consumers in evaluating the quality and performance of products through OCRs. The results show that information quantity and source credibility have a limited effect on information diagnosticity, which ultimately influences consumers' information adoption. This study extends the application of dual-process theory to online settings, the findings are valuable for marketing managers of online organisations. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:1261 / 1270
页数:10
相关论文
共 79 条
[1]
Trustmarks, objective-source ratings, and implied investments in advertising: Investigating online trust and the context-specific nature of Internet signals [J].
Aiken, K. Damon ;
Boush, David M. .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2006, 34 (03) :308-323
[2]
Amazon, 2014, WHAT IS AM VIN
[3]
The formation of market-level expectations and its covariates [J].
Anderson, EW ;
Salisbury, LC .
JOURNAL OF CONSUMER RESEARCH, 2003, 30 (01) :115-124
[4]
[Anonymous], ELECT COMMERCE RES A
[5]
"Do We Believe in TripAdvisor?" Examining Credibility Perceptions and Online Travelers' Attitude toward Using User-Generated Content [J].
Ayeh, Julian K. ;
Au, Norman ;
Law, Rob .
JOURNAL OF TRAVEL RESEARCH, 2013, 52 (04) :437-452
[6]
Bagozzi R. P., 1988, J ACAD MARKETING SCI, V16, P74, DOI [10.1007/BF02723327, DOI 10.1007/BF02723327, 10.1177/009207038801600107]
[7]
DEVELOPMENT OF A TOOL FOR MEASURING AND ANALYZING COMPUTER USER SATISFACTION [J].
BAILEY, JE ;
PEARSON, SW .
MANAGEMENT SCIENCE, 1983, 29 (05) :530-545
[8]
THE BASE-RATE FALLACY IN PROBABILITY JUDGMENTS [J].
BARHILLEL, M .
ACTA PSYCHOLOGICA, 1980, 44 (03) :211-233
[9]
The effects of 3rd party consensus information on service expectations and online trust [J].
Benedicktus, Ray L. .
JOURNAL OF BUSINESS RESEARCH, 2011, 64 (08) :846-853
[10]
DIFFERENTIAL IMPACT OF ABSTRACT VS CONCRETE INFORMATION ON DECISIONS [J].
BORGIDA, E ;
NISBETT, RE .
JOURNAL OF APPLIED SOCIAL PSYCHOLOGY, 1977, 7 (03) :258-271