کارابرن عزیز، مقالات isi بالاترین کیفیت ترجمه را دارند، ترجمه آنها کامل و دقیق می باشد (محتوای جداول و شکل های نیز ترجمه شده اند) و از بهترین مجلات isi انتخاب گردیده اند. همچنین تمامی ترجمه ها دارای ضمانت کیفیت بوده و در صورت عدم رضایت کاربر مبلغ عینا عودت داده خواهد شد.
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A better last-minute hotel deal via app? Cross-channel price disparities between HotelTonight and OTAs
یک رزرو هتل دقیقه آخری بهتر از طریق برنامه های کاربردی: ناهمخوانی های بین کانالی بین قیمت هرشب هتل و OTA ها-2018
To better understand hotels cross-channel pricing mechanisms, this study aims to investigate various factors behind price discounts (as a type of price disparity) from a popular last-minute hotel deal app, HotelTonight, compared to major online travel agency (OTA) websites. Using pricing data collected from the HotelTonight app and OTA websites in six U.S. cities, we estimate several regression models to examine price discounts. The results reveal that after controlling for other variables, price discounts are largely shaped by online reputation metrics (i.e., relative review valence and volume on TripAdvisor compared to on HotelTonight), complimentary access to services with high marginal variable costs, and uncertainty in the room type offered. However, hotels’ market power does not explain price discounts. Lastly, implications are discussed.
keywords: Last-minute deal |Price disparity |Online reputation |Hotel |Tonight
A guilty pleasure: Tourist perspectives on the ethics of feeding whale sharks in Oslob, Philippines
یک لذت مجرمانه: دیدگاههای گردشگر درمورد اخلاقیات غذا دادن به کوسه ماهی ها در اسلوب، فیلیپین-2018
This study explored the ethics of provisioning wildlife to enhance tourist interactions at a whale shark tourism site in Oslob, Philippines. TripAdvisor comments (n = 947) and tourist surveys (n = 761) were used to better understand tourists perceptions of whale shark provisioning in Oslob. The ethical decisions made were then critically assessed using utilitarian and animal welfare ethical philosophies. The majority of respondents supported whale shark provisioning, despite many being aware of the ethical complications of provisioning sharks for tourism purposes. Respondents justified their participation in this activity using mainly economic, human enjoyment, and animal welfare arguments. A utilitarian assessment of the potential costs and benefits of this activity highlighted the gaps in our knowledge regarding the economic and social benefits of this activity, as well as the negative impacts on the sharks’ welfare. Until such analyses are completed, significant ethical questions remain regarding the provisioning of these sharks.
keywords: Wildlife provisioning |Sharks |Marine wildlife tourism |Tourism ethics |Conservation |Tourist perceptions |TripAdvisor
Research note: Legal implications of soundalike hotels in China: Haiyatt and Marvelot
یادداشت تحقیقی: دلالت های قانونی هتلهای ساندالیک در چین: های یات و مارولوت-2018
This article introduces the concept of the soundalike hotel to the hospitality and tourism disciplines. More specifically, this article explores the legal implications surrounding the Haiyatt and Marvelot hotel brands in China, which sound like the Hyatt and Marriott brands, respectively. Soundalike hotels would be perceived by courts around the world as trademark infringement. However, Chinas legal system accepts the existence of soundalike hotels and overlooks the illegality of their existence. This article clarifies, from a legal perspective, why soundalike hotels are accepted in China and offers insights into how hotel organizations may lessen their chances of experiencing trademark infringement in China. The article uses TripAdvisor data to show that most Haiyatt and Marvelot guests do not realize that these hotels are engaging in deceptive practices by using soundalike brands. Thus, neither Hyatt nor Marriott have legal precedence to show that guests are confused by the existence of soundalike hotels.
keywords: China |Soundalike hotel |Intellectual property |Marriott |Hyatt |Knockoff |Haiyatt |Marvelot
ٍٍEducational apps from the Android Google Play for Greek preschoolers: A systematic review
برنامه های کاربردی آموزشی از بازی اندروید گوگل برای پیش دبستانی های یونان: یک بررسی سیستماتیک-2018
In the seven years since the introduction of the tablet (Apple iPad) in 2010, the use of software for smart mobile devices has grown rapidly in popularity and has become a hotly debated issue in the field of education and child development. However, the rise in popularity of mobile applications (apps) mainly addressed to young children is not in line with a corresponding increase in their quality, as there is conflicting evidence about the real value and suitability of educational apps. The purpose of this study was to examine whether self-proclaimed educational apps for Greek preschoolers have been designed in accordance with developmentally appropriate standards to contribute to the social, emotional and cognitive development of children in formal and informal learning environments. The study results were discouraging. The majority of the apps aimed to teach children the basics about numbers and letters. Overall, they were drill-and-practice-style, based on a low level of thinking skills, thereby promoting rote learning, and were unable to contribute to a deeper conceptual understanding of certain concepts.
keywords: Media in education| Applications in subject areas| Elementary education| Interactive learning environments
Utilitarianism and knowledge growth during status seeking: Evidence from text mining of online reviews
منفعت گرایی و رشد دانش درطی پیگیری وضعیت: شواهدی از واکاوی متن بازدیدهای آنلاین-2018
Websites with user-generated content (UGC) usually adopt incentive hierarchies to encourage users to contribute content continuously and to realize increasingly higher status in the online community through achieving increasingly more difficult goals. Yet the literature remains largely unclear on how these incentive hierarchies affect user behavior during status seeking. Empirical findings drawn from the data of 19,674 TripAdvisor members suggest that 1) at a lower status or earlier stage, members are more eager for quick promotion and utilitarianism results in fewer words per review; and 2) members’ knowledge grows as their status rises. This study concludes by offering theoretical and managerial implications for both research and practice.
keywords: UGC |Goals |Utilitarianism |Status |Knowledge
Combining different evaluation systems on social media for measuring user satisfaction
ترکیب کردن سیستمهای مختلف ارزیابی روی رسانه های اجتماعی برای سنجش رضایت کاربر-2018
Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.
keywords: Social media| Sentiment analysis| Rating|Knowledge management
How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience
چگونه فاصله توانی بر رتبه بندی های آنلاین هتل اثر می گذارد؟ نقش های واسطه ای مثبت زنجیره هتل و تجربه سفر بازدید کننده-2018
This study investigates the collective influences of cultural, hotel, and reviewer characteristics on online ratings in the hotel sector. Based on over 243,000 TripAdvisor reviews for hotels in 24 US cities, we empirically find a negative relationship between the reviewers power distance and their online hotel ratings, thereby indicating that cultural factor plays a significant role in the customers’ online rating behavior. The negative effect of power distance on online hotel ratings is weaker for chained hotels than for independent hotels. This negative effect is also weaker for reviewers with more travel experience than for those with less travel experience. The robustness check demonstrates that these findings are applicable for ratings on product features that involve staff interactions, such as service, value, rooms, and cleanliness.
keywords: Online rating |TripAdvisor |Hotel |Power distance |Hotel chain |Reviewer travel experience |Multidimensional rating
Coupled matrix factorization and topic modeling for aspect mining
عامل سازی ماتریسی جفت و مدلسازی عنوان برای واکاوی جنبه -2018
Aspect mining, which aims to extract ad hoc aspects from online reviews and predict rating or opinion on each aspect, can satisfy the personalized needs for evaluation of specific aspect on product quality. Recently, with the increase of related research, how to effectively integrate rating and review information has become the key issue for addressing this problem. Considering that matrix factorization is an effective tool for rating prediction and topic modeling is widely used for review processing, it is a natural idea to combine matrix factorization and topic modeling for aspect mining (or called aspect rating prediction). However, this idea faces several challenges on how to address suitable sharing factors, scale mismatch, and dependency relation of rating and review information. In this paper, we propose a novel model to effectively integrate Matrix factorization and Topic modeling for Aspect rating prediction (MaToAsp). To overcome the above challenges and ensure the performance, MaToAsp employs items as the sharing factors to combine matrix factorization and topic modeling, and introduces an interpretive preference probability to eliminate scale mismatch. In the hybrid model, we establish a dependency relation from ratings to sentiment terms in phrases. The experiments on two real datasets including Chinese Dianping and English Tripadvisor prove that MaToAsp not only obtains reasonable aspect identification but also achieves the best aspect rating prediction performance, compared to recent representative baselines.
keywords: Topic modeling | Matrix factorization | Aspect mining | Rating prediction
"مدرسه قدیمی" دربرابر "مدرسه جدید" : استفاده از کتابها و تبلت ها برای بهبود سواد اطلاعاتی و ارتقای یادگیری جمعی دربین دانشجویان رشته کسب و کار
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 24
این مقاله روی استفاده از کتابهای مشترک و برنامه های تبلت در آموزش کسب و کار در پسا – دبیرستان بحث می کند. ما روی روشهایی تاکید می کنیم که توسط آنها هر برنامه، سواد اطلاعاتی و یادگیری جمعی را ارتقا می بخشد. ما نشان می دهیم که چگونه این برنامه ها می توانند مهارتهای ارتباطی و همکاری دانشجویان را ارتقا داده و استفاده پذیری را بالاتر ببرند. ما روی فعالیتهای کلاسی بحث می کنیم که هم یک کتاب مشترک و هم یک تبلت می توانند برای آن استفاده شوند و نیز به عنوان راههای استفاده شوند که در آن برنامه ها، تقویت دوطرفه را جهت فراهم کردن منافع بیشتر درطی اجرا ارائه می دهند. این مقاله با یک بحث روی موانع اجرای یک کتاب مشترک یا یک برنامه تبلت و روشهای غلبه بر این موانع نتیجه گیری می کند.
کلیدواژه ها: کتاب مشترک | برنامه خواندن مشترک | سواد اطلاعاتی | یادگیری جمعی | آیپد | تبلت
|مقاله ترجمه شده|
Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews
داده های بزرگ برای بینش بزرگ: بررسی رانندگان خاص زبان از رضایت هتل با 412،784 بررسی ایجاد شده توسط کاربر-2017
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