Online reviews generated through product testing: can more favorable reviews be enticed with free products?
Journal of the Academy of Marketing Science, ISSN: 1552-7824, Vol: 49, Issue: 4, Page: 703-722
2021
- 15Citations
- 184Usage
- 73Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations15
- Citation Indexes15
- 15
- CrossRef4
- Usage184
- Downloads178
- Abstract Views6
- Captures73
- Readers73
- 73
Article Description
Online reviews have profound impacts on firm success in terms of sales volume and how much customers are willing to pay, yet firms remain highly dependent on customers’ voluntary contributions. A popular way to increase the number of online reviews is to use product testing programs, which offer participants free products in exchange for writing reviews. Firms that employ this practice generally hope to increase review quality and secure higher product rating scores. However, a qualitative study, experimental study, and multilevel analysis of a field study dataset of more than 200,000 online reviews by product testers combine to reveal that product testing programs do not necessarily generate higher quality reviews, nor better product ratings. Only in certain circumstances (e.g., higher priced products) does offering a product testing program generate these benefits for the firm. Therefore, companies should consider carefully if and when they want to offer product testing programs.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102487464&origin=inward; http://dx.doi.org/10.1007/s11747-021-00770-6; https://link.springer.com/10.1007/s11747-021-00770-6; https://scholarworks.bgsu.edu/marketing_pub/1; https://scholarworks.bgsu.edu/cgi/viewcontent.cgi?article=1000&context=marketing_pub; https://dx.doi.org/10.1007/s11747-021-00770-6; https://link.springer.com/article/10.1007/s11747-021-00770-6
Springer Science and Business Media LLC
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