Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products
By Fernando R. Jiménez, Norma A. Mendoza. 2013
403 citations recorded by the source corpus.
Subfields: Information Systems and Management, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/67c1ca75d6cbc1080671d5c749530dc62606b131
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Arpita Agnihotri
- Sheng Bi
- K. Usman
- Zhiying Liu
- Edward C. Malthouse
- S. Satish
- Andreas Munzel
- Saurabh Bhattacharya
In Marketing
- Arpita Agnihotri
- Ewa Maslowska
- Sheng Bi
- K. Usman
- Zhiying Liu
- Edward C. Malthouse
- S. Satish
- Andreas Munzel
In Sociology and Political Science
- Arpita Agnihotri
- Ewa Maslowska
- Sheng Bi
- K. Usman
- Zhiying Liu
- Edward C. Malthouse
- S. Satish
- Andreas Munzel
Citations in the corpus
- eWOM: Extant Research Review and Future Research Avenues (2016, background): “However, for experience products, consumers determine the credibility of a review by assessing the level of reviewer agreement with a review (Jimenez & Mendoza, 2013).”
- The influence of online information on investing decisions of reward-based crowdfunding (2017, background): “As many as 49% of Internet shoppers use this feature in an online retail environment, and 29% indicate that the number of “Likes” is very important to them when reviewing product information (Jiménez and Mendoza, 2013).”
- Too good to be true: the role of online reviews’ features in probability to buy (2017, background): “…of review features on actual sales and rather focused on other outcomes such as review helpfulness, credibility, attitude, and intention (e.g., Jim enez and Mendoza 2013; Purnawirawan, Dens, and De Pelsmacker 2014; Wang, Cunningham, and Eastin 2015), or used proxy measures of sales (Wang et al.…”
- Online Review Helpfulness: Role of Qualitative Factors (2016, background): “…of the review such as review rating and the qualitative aspect such as review readability, which affect firm specific outcomes such as sales growth (Dellarocas, Xiaoquan, and Awad 2007; DeLange et. al, 2015), purchase intention (Jimenez and Mendoza, 2013) or review helpfulness (Schlosser, 2011).”
- Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus (2016, background): “In their recent work, Jiménez and Mendoza (2013) experimentally investigate the effects of detail of information in the review and reviewer agreement (i.e., consensus information) on purchase intention and show that the credibility of the source fully mediates this effect of consensus on purchase…”