The construction of home feeling by Airbnb guests in the sharing economy: A semantics perspective

Although the literature of peer-to-peer accommodation is increasingly recognizing the importance of home feeling, little has been done to theorize the construction of home feeling and its impacts on Airbnb guests’ future intention. To fill in this gap, this study systematically unpacked how Airbnb guests construct the feeling of home. A total of 42,085 review comments containing the feeling of home from three major cities in the USA were analyzed from a semantics perspective. Based on our findings we conceptualize home feeling as a PASS_h process, which contains multiple dimensions: physical and spatial, social, and affective, coupled with hospitality. Essentially, the home feeling with the interaction of these dimensions fulfills the daily hybrid needs of the guests.This article also launches the Annals of Tourism Research Curated Collection on Peer-to-peer accommodation networks, a special selection of research in this field.     

Contrasting user generated videos versus brand generated videos in ecommerce

This empirical research (n = 177) compared the impact of user generated videos and brand generated videos on online shopper perceptions, attitudes and purchase intentions. The study was guided by the technology acceptance model. Source of videos was a between-subjects factor. The findings indicated that online shoppers did not differentiate between the two video sources when evaluating the perceived usefulness of the videos. Conversely, user generated videos had a significantly greater impact on attitude toward the ad and attitude toward the brand than brand generated videos. Further, there was no significant main effect of video source on shopper purchase intentions. Theoretical and practical implications are discussed.     

It makes me feel vulnerable! The impact of public self-disclosure on online complaint behavior

Genuine reviews are essential for financial performance and for customer trust. In the case of a negative experience, withholding negative reviews may lead to biased online information. This paper aims to investigate two factors that may prompt customers to withhold their complaints (i.e., identity disclosure and locus of control). The study adopts a sequential exploratory mixed-method approach. An exploratory interview phase compares public vs anonymous online environments, and explores the reasons why dissatisfied customers might decide not to complain. An experiment then shows that vulnerability is a key mechanism preventing negative reviews. This effect is exaggerated when customers perceive that they do not have control over the events happening in their lives (i.e., external locus of control). Our work uncovers an important determinant of online complaint behavior, vulnerability. It also offers practical suggestions, such as improving confidentiality, to increase a customer's willingness to complain following a negative experience.     

Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic

Online reviews remain important during the COVID-19 pandemic as they help customers make safe dining decisions. To help restaurants better understand customers’ needs and sustain their business under current circumstance, this study extracts restaurant features that are cared for by customers in current circumstance. This study also introduces deep learning methods to examine customers’ opinions about restaurant features and to detect reviews with mismatched ratings. By analyzing 112,412 restaurant reviews posted during January-June 2020 on Yelp.com, four frequently mentioned restaurant features (e.g., service, food, place, and experience) along with their associated sentiment scores were identified. Findings also show that deep learning algorithms (i.e., Bidirectional LSTM and Simple Embedding + Average Pooling) outperform traditional machine learning algorithms in sentiment classification and review rating prediction. This study strengthens the extant literature by empirically analyzing restaurant reviews posted during the COVID-19 pandemic and discovering suitable deep learning algorithms for different text mining tasks.     

TOOR: A Novel Product Title Optimization Method Based on Online Reviews in E-commerce

Titles of online products play an important role in attracting consumers and promoting product sales in e-commerce. However, current online product titles only cover basic features and cannot reflect the preferences of consumers exactly. To address this problem, this research proposed an online title optimization method based on the analysis of online reviews, which is called TOOR (Title Optimization based on Online Reviews). In this research, we analyzed and compared product features extracted from online product titles and online reviews from the point of view of consumers and applied features extracted from reviews to title optimization. In order to verify the effectiveness of the proposed method, two experiments were conducted in this paper, selecting four typical smartphones as experiment samples and Taobao.com as the data resources. The experimental results indicated that features extracted from online reviews can better reflect the consumers’ concern, and the titles optimized by the TOOR method are more appealing to consumers and have higher click-through rates.     

杭州公共自行车景区游客体验研究

旅游交通随着旅游业和交通运输业的大力发展,越来越成为影响旅游目的地游客体验质量的重要环节。2008年5月1日起,杭州在全国率先运行公共自行丰租赁系统,将自行车纳入公共交通领域。如今,此套公共自行车租赁系统的使用满意度,尤其是景区范围内的旅游交通游客体验情况,值得学界关注和研究。     

The shrine of remembrance Melbourne: a short study of visitors' experiences

The Shrine of Remembrance in Melbourne, Australia opened in 1934 to articulate the social memory of the Great War of 1914–1918. The site has developed to incorporate other memorials and a Visitor Centre. An exploratory study of visitors indicated that the traditional and new memorials continue to evoke a number of responses to war. People expressed a sense of sadness and gratitude for sacrifices made by all those who have fought in war. Many people had poor knowledge of the battles which had initiated the creation of the Shrine. The study indicates the Shrine's complexity which now commemorates multiple conflicts. Copyright © 2009 John Wiley & Sons, Ltd.     

Balancing the dual mandate of conservation and visitor use at a Canadian world heritage site in an era of rapid climate change

Abstract

National parks in Canada operate under the dual mandate of conservation and visitor use, which involves balancing ecological integrity and nature-based tourism activities. Climate-induced environmental change may increase the existing tension between conservation and visitor use as major tourism resources located in protected areas (PAs) are projected to undergo large-scale changes. This study draws upon the behavioural approach, scenario planning, and landscape visualizations to examine the relationship between climate change impacts, visitor perceptions, and visitor experience management at the Athabasca Glacier in Jasper National Park, Canada. Four tourism development scenarios defined by two management drivers (ecological integrity and visitor demand) with corresponding storylines and visualizations were developed for 2050. The visualized scenarios were presented to visitors (n?=?304) in a survey to understand potential implications on visitor satisfaction. The results suggest that park managers need to find a balance between ecological integrity and visitor use in a way that ensures commercialized tourism development is limited, educational material is prioritized, and ecological integrity is maintained. While understanding the behaviour of future tourists is complex, it is a critical component of climate change adaptation planning and decision-making processes that needs to be prioritized by policymakers and PAs managers.     

Determinants of Small Pacific Island Tourism: A Vanuatu Study

The research reported in this paper sought to identify the key determinants of small island tourism in the Pacific region. In order to investigate this research problem, 185 Australian tourists were surveyed as they returned from holidaying in Vanuatu. The sample included those who had visited outer islands such as Espiritu Santo as well as those who had not ventured beyond the main island. Findings indicated that the most important influences on the decision to visit the outer islands were the climate and the reputation as a holiday destination. When rating Vanuatu as a holiday, both those who went to an outer island and those who did not rated the three main reasons as friendliness, range of restaurants and quality of accommodation, whereas the principal reasons given for not visiting an outer island were: that the outer islands were too expensive to access; most tourists wanted a “stay put” holiday; and they did not have enough time on their holiday. From the findings of this research on the determinants of small Pacific island tourism, it is suggested that further research into the applicability of these determinants be conducted in other small island environments in other regions of the world.     

The influence of internet customer reviews on the online sales and prices in hotel industry

In this paper, the impact of two service quality metrics (star rating and customer rating) on hotel room sales and prices is investigated. Two of the most popular tourist destinations in the world, Paris and London, are chosen. It is found that a higher customer rating significantly increases the online sales of hotels. The study results show that a 1% increase in online customer rating increases Sales per Room up to 2.68% in Paris and up to 2.62% in London. Contrary to expectations, higher stars do not increase the sales. It is also shown that higher customer ratings result in higher prices of the hotel and the prices of high star hotels are more sensitive to online customer ratings.