کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4972590 | 1365424 | 2017 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The effect of user-controllable filters on the prediction of online hotel reviews
ترجمه فارسی عنوان
اثر فیلترهای قابل کنترل کاربر بر پیش بینی بررسی آنلاین هتل ها
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سیستم های اطلاعاتی
چکیده انگلیسی
Product reviews have gained much popularity in recent years. This study examines the theoretical foundation of review helpfulness and reports how the interactions among three user-controllable filters together with three groups of predictors affect review helpfulness. Reviews from TripAdvisor.com were analyzed against three analytical models. The results show that these groups of variables have a varying effect on different user-controllable filters. Review rating and number of words are key predictors of helpfulness across all three filters. The recency, frequency, and monetary (RFM) model has received a consistent support across all filters as well. Managerial implications are provided.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information & Management - Volume 54, Issue 6, September 2017, Pages 728-744
Journal: Information & Management - Volume 54, Issue 6, September 2017, Pages 728-744
نویسندگان
Ya-Han Hu, Kuanchin Chen, Pei-Ju Lee,