Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Uttara M. Ananthakrishnan"'
Publikováno v:
Marketing Science.
We empirically study whether firms improve their quality based on online customer reviews in a dynamic quality environment. We do so by analyzing the U.S. hotel industry using data from two major online review platforms: Tripadvisor and Expedia. Usin
Publikováno v:
Information Systems Research. 31:950-971
The growing interest in online product reviews for legitimate promotion has been accompanied by an increase in fraudulent reviews. However, beyond algorithms for initial fraud detection, little is known about what review portals should do with fraudu
Autor:
Sunita M. Desai, Jiejie Wang, Uttara M. Ananthakrishnan, Ishita Ghai, Ateev Mehrotra, Hemant K. Bhargava
Publikováno v:
JAMA health forum, vol 3, iss 2
This cross-sectional study describes the price differences between capsule and tablet or ointment and cream forms of prescription drugs for insured patients.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b31c1b0f05a122cfa4cd5e46139d464d
https://escholarship.org/uc/item/73s6266d
https://escholarship.org/uc/item/73s6266d
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Merchants typically display pictures of their brand names and logos, product descriptions, and service environment on online platforms. In most cases, each merchant is allowed to showcase a single photo in consumers’ search results. This first visu
Publikováno v:
SSRN Electronic Journal.
Hateful speech online is a prevalent challenge for digital platforms. As hate speech and online bullying are particular issues among young children, this paper documents the extent of hateful speech in response to the videos posted by young children
Publikováno v:
EC
In this paper, we empirically study whether firms improve their quality based on reviews left by their customers in a dynamic quality environment. We do so by analyzing the US hotel industry using data from two major online review platforms: TripAdvi