با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews
ترجمه فارسی عنوان مقاله:
داده های بزرگ برای بینش بزرگ: بررسی رانندگان خاص زبان از رضایت هتل با 412،784 بررسی ایجاد شده توسط کاربر
منبع:
Sciencedirect - Elsevier - Tourism Management , 59 (2017) 554-563. doi:10.1016/j.tourman.2016.08.012
نویسنده:
Yong Liu a, *, Thorsten Teichert b, Matti Rossi a, Hongxiu Li c, Feng Hu
چکیده انگلیسی:
This study leveraged the advantages of user-generated reviews with the aim of offering new insights into
the determinants of hotel customer satisfaction by discriminating among customers by language group.
From a collection of 412,784 user-generated reviews on TripAdvisor for 10,149 hotels from five Chinese
cities, we found that foreign tourists, who speak diverse languages (English, German, French, Italian,
Portuguese, Spanish, Japanese, and Russian), differ substantially in terms of their emphasis on the roles
of various hotel attributes (“Rooms,” “Location,” “Cleanliness,” “Service,” and “Value”) in forming their
overall satisfaction rating for hotels. Chinese tourists domestically exhibit distinct preferences for room
related hotel attributes when compared to foreign tourists. Major interaction effects are revealed be
tween the attributes “Rooms” and “Service” and between “Value” and “Service”.
Keywords:Big data|Satisfaction|Hotel|Online reviews|User-generated review|TripAdvisor
قیمت: رایگان
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