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نتیجه جستجو - bnb هوا

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach
انگیزه ها و محدودیت های مشتریان bnb هوایی: یافته هایی از یک دیدگاه روشهای ترکیبی-2018
Airbnb is widely recognized as a disruptive innovation in the tourism industry. While separate studies have examined various factors affecting consumers adoption of Airbnb, the literature has largely focused on a handful of factors in isolation. Adopting a sequential mixed-methods approach, this study proposes a comprehensive conceptual model integrating the literature and findings of a qualitative study and subsequently tests the model via a national survey. The results suggest that, for motivations, price value, enjoyment, and home benefits significantly explain overall attitude toward Airbnb. As for constraints, distrust is the only factor that significantly predicts overall attitude, while insecurity is directly related to behavioral intentions. Overall attitude, perceived behavioral control, and subjective norms, such as social influence and trend affinity, predict behavioral intentions. This study contributes to the literature by simultaneously examining the predictive power of both motivations and constraints of Airbnb consumers in explaining overall attitude and purchase behavior.
keywords: Sharing economy |Airbnb |Motivations |Constraints |Hotel |Tourism
مقاله انگلیسی
2 What makes an Airbnb host a superhost? Empirical evidence from San Francisco and the Bay Area
چه چیزی یک bnb هوایی را یک سوپرهاست می کند؟ شواهد تجربی از سان فرانسیسکو و ناحیه بای-2018
Using data on Airbnb listings from San Francisco and the Bay Area, the present study investigates the relative importance of the four criteria that need to be fulfilled to obtain the Airbnb superhost status. In order to quantify the marginal contributions of the four criteria, different index models of binary response (logit, probit, and IV probit, which allows for the endogeneity of Airbnb demand) are applied. The results, which are consistent across models, show that in San Francisco and the Bay Area obtaining (and maintaining) excellent ratings is, by far, the most important criterion, followed by reliable cancellation behavior of the host, host responsiveness, and sufficient Airbnb demand. Moreover, commercial Airbnb providers are more likely to obtain the superhost status.
keywords: Airbnb |Binary response index models |Revealing preferences |Sharing economy |Superhost
مقاله انگلیسی
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