Results 271 to 280 of about 17,596,944 (314)
Some of the next articles are maybe not open access.
Information systems research, 2020
Online reviews are a crucial source of information for consumer decision making. Many businesses, companies, and platforms are interested in encouraging more consumers to review their products but are dubious about using financial incentives to buy ...
Zhihong Ke, De Liu, Daniel J. Brass
semanticscholar +1 more source
Online reviews are a crucial source of information for consumer decision making. Many businesses, companies, and platforms are interested in encouraging more consumers to review their products but are dubious about using financial incentives to buy ...
Zhihong Ke, De Liu, Daniel J. Brass
semanticscholar +1 more source
Helpful or harmful? A double-edged sword of emoticons in online review helpfulness
, 2020Emoticons are graphic demonstrations of facial expressions. They have become a common and easy-to-use tool for online users to express ideas or feelings. Earlier research highlights the importance of emoticons in computer-mediated communications. However,
Guei-Hua Huang +3 more
semanticscholar +1 more source
, 2020
This paper analyses the interrelationships between emotions, the cognitive information cues of online reviews and intention to follow the advice obtained from digital platforms, paying special attention to the moderating effect of the sequencing of ...
C. Ruiz-Mafé +2 more
semanticscholar +1 more source
This paper analyses the interrelationships between emotions, the cognitive information cues of online reviews and intention to follow the advice obtained from digital platforms, paying special attention to the moderating effect of the sequencing of ...
C. Ruiz-Mafé +2 more
semanticscholar +1 more source
Understanding online review helpfulness in omnichannel retailing
Industrial management & data systems, 2019Purpose As retailers have increasingly embraced an omnichannel retailing strategy, explaining and predicting the helpfulness of online review should consider both online-based and offline-based reviews. The paper aims to discuss this issue.
Shuiqing Yang +4 more
semanticscholar +1 more source
Journal of Service Research, 2016
Consumers who generate online reviews provide a vital information service for the buying public, influencing nearly half of all purchase decisions. This study focuses on factors that motivate online reviewer engagement (ORE). ORE is a contextually dependent psychological state characterized by varying degrees of altruistic and egoistic market-helping ...
Mathwick, Charla, Mosteller, Jill
openaire +2 more sources
Consumers who generate online reviews provide a vital information service for the buying public, influencing nearly half of all purchase decisions. This study focuses on factors that motivate online reviewer engagement (ORE). ORE is a contextually dependent psychological state characterized by varying degrees of altruistic and egoistic market-helping ...
Mathwick, Charla, Mosteller, Jill
openaire +2 more sources
Information Processing on Online Review Platforms
Journal of Management Information Systems, 2019Online reviews represent an important decision aid for consumers. Therefore, the question of whether online reviews reflect the currently available information is of high importance.
Michael Siering, Christian Janze
semanticscholar +1 more source
The Influence of Online Review Exposure on Reviewers’ Intensity Level of Negative Word of Mouth
Journal of Hospitality & Tourism Research, 2019Nowadays to post online review is becoming a common practice. However, apart from limited studies, little is known how online reviews can prejudice subsequent reviews. Our three experimental studies demonstrate that following negative service experiences,
Paulette Rouliez, D. Tojib, Y. Tsarenko
semanticscholar +1 more source
How Regulatory Orientation and Feelings of Gratitude Shape Online Review Helpfulness
Journal of Consumer Psychology, 2019Online review helpfulness ratings are an important indicator of the impact of online reviews. Often times, helpfulness is explained in terms of observable qualities of online reviews that predict helpfulness ratings.
Alexander Mafael
semanticscholar +1 more source