The influence of online product recommendations on consumers’ online choices

Sénécal, Sylvain; Nantel, Jacques

doi:10.1016/j.jretai.2004.04.001

Cited by 1,315 publications

(910 citation statements)

References 45 publications

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“…This begs the question why? The answer probably lies in the need to consume tourism products before an evaluation can take place (Dellaert 2000; Rabanser and Ricci 2005;Senecal and Nantal 2004).So online reviews and word of mouth recommendations are a growing and important information source because of the perceived independence of the message source (Gitleson and Kerstetter 1994;Crotts 1999;Dellarocas 2003;Johnson and Kayne 2003;HennigThurau et al 2004;Pan et al 2007;Litvin et al 2007). A recent UK survey found consumers trusted more sites with reviews than professional guides and travel agencies (eMarketer 2007).…”

Section: Internet Applications For Tourismmentioning

confidence: 99%

User generated content: the use of blogs for tourism organisations and tourism consumers

2008

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As the World Wide Web has developed considerable bargaining power has been transferred from suppliers to consumers; there is a real need to improve market intelligence and market research for private and public tourism organisations and facilitate timely consumer decision making. This article explores the development of user generated content and specifically the use of web logs or blogs. Tourism organisations cannot afford to ignore the development of user generated content, peer-to-peer web applications and virtual communities. A recent survey found that consumers trusted more websites with reviews than professional guides and travel agencies and far from being an irrelevance, blogs are often perceived to be more credible and trustworthy than traditional marketing communications. But there is a problem: given the sheer number of possibly relevant travel blogs there is a need to locate, extract and interpret blog content and this has proven so far to be time consuming, exhausting and costly, thus negating the relative value of the information obtained. A way forward may be the use of artificial intelligence and ''opinion mining'' or a blog visualisation system.

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Section: Internet Applications For Tourismmentioning

confidence: 99%

User generated content: the use of blogs for tourism organisations and tourism consumers

2008

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“…Senecal & Nantel [24] found that the amount of eWOM channels impacted on consumers' buying decision processes. The increasing number of online blogs, web boards, chat rooms, product review websites and social network websites became the major sources of information that many consumers read before making a decision to purchase products and services.…”

Section: E Electronic Word-of-mouth Volume and Electronic Word-of-momentioning

confidence: 99%

“…These environments include their social status, culture, personal motives, family, and other factors. Senecal & Nantel [24] similarly found that before buying certain types of products or services, many customers favored reading suggestions given by experienced customers to specially reading product information in general. Opinions given by experienced customers were found to significantly influence new customers' purchasing decision-making.…”

Section: E Electronic Word-of-mouth Volume and Electronic Word-of-momentioning

confidence: 99%

The Impact of Electronic Word-of-Mouth Factors on Consumers’ Buying Decision-Making Processes in the Low Cost Carriers: A Conceptual Framework

Lerrthaitrakul¹,

Panjakajornsak²

2014

IJTEF

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Abstract-The purpose of this study is to develop a conceptual framework on the potential effects of electronic word-of-mouth (eWOM) communication on consumers' buying decision-making process in the low cost airline industry. A thorough review of literature reveals three main streams of factors affecting consumers' buying decisionmaking process involvement in eWOM in the low cost airline industry. These issues are the information provided by eWOM such as reviews, the creditability of channels used, volume of eWOM; types of eWOM such as multiple transmission channels, one to many channels, one to one channels and also, their potential effects on different decision-making processes. The samples are Thai consumers, which surfed on the internet and social media for information about the low cost carriers. Questionnaires will be distributed on-line to the samples from Thai popular website communities and Thailand's low cost carriers Facebook sites (Air Asia Thailand, Fly Orient Thai, and Nok airlines). Structural equation modeling using AMOS will be used to analyze the hypothesized relationships. The study expects to make key contributions for low cost airline companies in setting their marketing plans and developing online relationships with customers as well as contributions for e-marketing management research. I. INTRODUCTIONIt is widely recognized nowadays that air transportation has become a profound source of business facilitating the economic growth of many countries. This is because air aviation allows people from all over the world to comfortably connect with each other. The development of this transportation channel rallies around people not only seeking new and better markets but also gaining access to global suppliers. Businesses across countries can, therefore, be operated and connected with each other. According to IATA [1]. Aviation industries play a significant role in generating new marketing and business across the world. Producers can easily distribute their products into new markets. Boeing, which is an airplane building company, has predicted that more people will choose to travel by airplane during 2012 to 2031. Especially in South East Asia, the growth of new aviation routes will be increased on average by 7.6% every year. This business sector can generate 4,700,000,000 billion US$. The increase in this business sector is a consequence of the improvement of rules and regulations, the growing number of related infrastructure building to facilitate aviation business and the lenience of trade agreements [2].It has been found that in 2002, Low cost airlines which service Asia Pacific did not significantly influence the way the traditional market was operated. However, not so long after that, the low cost airline businesses in Asia Pacific grew rapidly and became the customers' choice. These low cost airlines include Tiger Airways, Virgin Blue, Cebu Pacific, Jetstar, Lion Air, and Air Asia. In Thailand, wellknown low cost airlines comprised Nok Air, One-two-go or Orient Thai and Thai Air Asia. Severa...

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“…These contrasting results between system-centric and user-centric evaluation of RSs do not necessarily hold for e-tourism applications, because of the peculiar nature of the touristic product [11,25,26,30]: ─ Touristic products lack the feature of "try-before-buy" or "return in case the quality is below expectance". Online tourist service purchasing involves a certain amount of risk taking.…”

Section: Introductionmentioning

confidence: 99%

User-Centric vs. System-Centric Evaluation of Recommender Systems

Cremonesi

Garzotto

Turrin³

2013

Lecture Notes in Computer Science

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Abstract. Recommender Systems (RSs) aim at helping users search large amounts of contents and identify more effectively the items (products or services) that are likely to be more useful or attractive. The quality of a RS can be defined from two perspectives: system-centric, in which quality measures (e.g., precision, recall) are evaluated using vast datasets of preferences and opinions on items previously collected from users that are not interacting with the RS under study; user-centric, in which user measures are collected from users interacting with the RS under study. Prior research in e-commerce has provided some empirical evidence that system-centric and user-centric quality methods may lead to inconsistent results, e.g., RSs that were "best" according to systemcentric measures were not the top ones according to user-centric measures. The paper investigates if a similar mismatch also exists in the domain of e-tourism. We discuss two studies that have adopted a system-centric approach using data from 210000 users, and a user-centric approach involving 240 users interacting with an online hotel booking service. In both studies, we considered four RSs that employ an implicit user preference elicitation technique and different baseline and state-of-the-art recommendation algorithms. In these four experimental conditions, we compared system-centric quality measures against user-centric evaluation results. System-centric quality measures were consistent with usercentric measures, in contrast with past studies in e-commerce. This pinpoints that the relationship between the two kinds of metrics may depend on the business sector, is more complex that we may expect, and is a challenging issues that deserves further research.

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The influence of online product recommendations on consumers’ online choices

Cited by 1,315 publications

References 45 publications

User generated content: the use of blogs for tourism organisations and tourism consumers

User generated content: the use of blogs for tourism organisations and tourism consumers

The Impact of Electronic Word-of-Mouth Factors on Consumers’ Buying Decision-Making Processes in the Low Cost Carriers: A Conceptual Framework

User-Centric vs. System-Centric Evaluation of Recommender Systems

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