The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature

Research on modeling the estimation and forecasting of tourism demand has evolved with increasing sophistication and improved quality. In this study, 155 research papers published between 1995 and 2009 were identified and were classified into three main groups according to the methods and techniques adopted—an econometric-based approach, time series techniques, and artificial intelligence (AI)-based methods. It appears that the more advanced methods such as cointegration, error correction model, time varying parameter model, and their combinations with systems of equations produce better results in terms of forecasting accuracy. We also discuss the implications and suggest future directions of tourism research techniques and methods.     

An Analysis of The Lowest Fares and Shortest Durations for Air-Tickets on Travel Agency Websites

Despite the existence of numerous published articles on website evaluations, the present tourism literature has no prior studies that examined the topics of lowest fares and shortest durations for air-tickets that are offered by travel websites. This study reports the findings of a study that investigated the practices of five online travel agency (OTA) websites. In terms of lowest airfares and the shortest in-flight durations (hereafter known as shortest durations) in four destinations for travelers who originated from Hong Kong, empirical findings showed the regional OTA outperformed other global leaders in airfares. Likewise, a smaller scale OTA offered lowest-fare air-tickets with the shortest durations. Practical implications are offered at the end of the article.     

Helpful Reviewers in TripAdvisor,an Online Travel Community

Online communities need a critical mass for communication, information, and entertainment and should provide useful information for their members in order to obtain this critical mass. The abundance of online travel reviews increases cognitive costs of travelers, and travelers use extrinsic cues to judge the quality of online reviews to eliminate costs associated with the information process. Of various cues used in online environments, this study examined an online reputation system in TripAdvisor.com and profiled the reviewers who post helpful reviews in the online travel community. The key findings include that helpful reviewers are those who travel more, actively post reviews, belong to any age and gender groups, and give lower hotel ratings. This study adds to research of online travel reviewers by characterizing helpful information creators among online content creators.     

A Formative Approach to Modeling Residents’ Perceived Impacts of Casino Development

This study uses a formative modeling approach rather than the more common reflective modeling approach to operationalize residents’ perceived benefits/costs. Partial least square structural equation modeling was adopted to model the predicting effects of perceived benefits/costs on residents’ support for casino development. Additionally, the mediating role of satisfaction with life was examined. Drawing from a survey administered to 1047 Macao residents, this study reveals that only perceived economic and environmental benefits affect support for casino development. The mediating effect is not confirmed. Meaningful implications are provided for policymakers and casino operators.     

A Modified Model for Hotel Website Functionality Evaluation

Harnessing a mathematical computation approach to analyze data solicited from 354 website stakeholders (including 200 hotel customers, 83 hotel managers, and 71 hotel website designers), this study presents an up-to-date and robust evaluation model for assessing the functionality of hotel websites. The modified model was also empirically used to assess the functionality performance of the websites of all the hotels in Hong Kong. Results from the non-parametric Kruskal–Wallis and Mann–Whitney tests revealed a difference in performance, with higher star rating hotels performing better than those with a lower star rating. As one of the first attempts to incorporate the perceptions of multiple website stakeholders into hotel website evaluation, this study provides hoteliers with practical advice on website development.     

The Impact of Visitor Behavior on the Environmental Protection of Tourist Farms in Guangdong

Some tourist farms established in the Chinese province of Guangdong suffer from a dearth of farm management and a lack of awareness of environmental protection issues among visitors, leading to pollution problems in farm tourism. The study reported in this paper examined how the managers of two farms protect the natural environment using the setting factors of physical orientation, interactive exhibits and the presence of tour guides, following the mindfulness and mindlessness model. The findings of the study revealed that the quality of the natural environment in both farms was acceptable, indicating the effectiveness of the setting factors. However, it was found that some signs were discolored and broken, there were insufficient interactive exhibits, and no tour guide service was available for individual visitors. Based on these findings, some recommendations are offered for farm managers on how to protect the natural environment.     

Outlying Islands as a Tourist Destination for Local Residents: The Case of Cheung Chau in Hong Kong

Cheung Chau is an outlying island in Hong Kong, which is relatively untouched by the region's rapid economic development. The island provides a dramatic contrast to the cosmopolitan city center, one of the most popular travel destinations in Asia and a major business hub. This makes Cheung Chau a special attraction for local residents seeking to get away from their routine lives. However, no published studies have examined the opinions of residents on sustainable tourism development on Hong Kong's outlying islands and the motivating factors that drive residents to visit those islands. Hence, an exploratory qualitative study was undertaken to develop an understanding of the public's motivation for visiting Cheung Chau. The results of in-depth interviews with 15 residents who had visited the island are presented, along with an examination of the future direction of tourism development in Cheung Chau.     

Positive and Negative Word of Mouth about Restaurants: Exploring the Asymmetric Impact of the Performance of Attributes

This study examines the relationship between attribute performance of a restaurant and customers' positive and negative word of mouth (WOM). We present an analysis of 168,262 customer reviews, which consist of an overall rating of a dining experience, ratings of food, physical environment and employee service, and real expenditure for a meal, totally covering 1,542 Chinese restaurants on a restaurant guide website. The results indicate that the performance of attributes has an asymmetric impact on positive and negative WOM for the restaurant industry as well as for low-end and mid-to-high-end restaurants. Our results also show that, in most cases, there is a combined effect of two attributes on both positive and negative WOM.     

Examining destination images from travel blogs: a big data analytical approach using latent Dirichlet allocation

ABSTRACT

In the big data era, destination images have played an increasingly important role in tourism development. However, seldom tourism research has utilised big data analytics to examine destination images from travel blogs. Therefore, this study proposes and evaluates a big data analytical approach using latent Dirichlet allocation to extract attributes of online destination images from 140,286 travel blogs about 20 cities in China. Results reveal 14 dimensions with 54 attributes of destination images of the studied cities. Interesting findings are discovered between online destination images and tourism cities. This study also summarises the implications for tourism research and practice.