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Each of the three chapters in this part of the Field Guide has, as its primary data source, interviews with tourism and hospitality executives. Sushma Seth Bhat (2012), in her chapter titled Single Case Study Research: The Development of www.purenz.com, explains how she compiled a single case on the development of a destination website, based on interviews with tourism industry executives in New Zealand. In her chapter titled Fashions in Tourism: The Views of Russian Tourists and Experts, Olga Lysikova (2012) utilises information from interviews with travel industry executives to address the question, are there fashions in tourist behaviour? Cindia Ching-Chi Lam and Clara Weng-Si Lei's (2012) chapter, Case Studies in Multicultural Contexts in Asia, presents experiences acquired in undertaking two case study projects in Macao, with much of the data gathered from interviews with executives in the Macao hotel industry.

With the increasing importance of social media in promoting events, understanding the relationship between event followers' motivations and their behaviors on an event's social media platform becomes a key success factor to attract event-goers. Previous studies on exploring the relationship between social media and event attendees have concentrated mostly on a Western context social media, for example, Facebook, and Western festivals; studies concerning the East or China are scant. This study uses the Strawberry Music Festival in China as a case study and researches its two official social media platforms: WeChat and Weibo.

The research explores the hedonic and utilitarian motivation of social media followers and investigates followers' browsing and participation behaviors as well as the influence of their usage behaviors on intentions to attend an event. A total of 190 valid responses were collected through an online questionnaire from social media followers of the music festival.

The findings reveal that both utilitarian and hedonic motivation have significant effects on browsing and participation behaviors. More importantly, browsing and participation behaviors also affect the intentions to attend an event and the electronic word-of-mouth (eWOM) effect.

The research results provide practical insights for event organizers regarding potential event-goers' usage patterns on social media platforms and their intention to visit events.

This study contributes to the authors’ understanding of the relationship between event attendance and social media behavior, in particular of the East.

Networking, gatekeeper access, understanding of “localized talks,” and jargon are revealed to be influential factors on the quality and richness of case study research (CSR) data. Rapport between the researcher and the interviewee not only affect the depth of the data collected but also the credibility and completeness of the final research output. This chapter discusses these features of CSR by employing two different CSR studies. The chapter provides practical insights to promote the interviewee's confidence in revealing sensitive data, through a three-step procedure.

The purpose of this paper is to consider the issue of forecasting hotel room rate with data from 2004 onwards and the forecast horizons of 91 observations.

This study employs a set of time series data (91 observations) on average monthly hotel room rates to generate an Autoregressive Integrated Moving Average Models (ARIMA) forecasting model.

Through the employment of 74 percent observations, with 26 percent withhold for evaluation checking, six best models are identified from 50 models under study. The final model reports a high level of predictive accuracy and provides useful insights for hoteliers to form business strategies.

This research provides a well-defined model to forecast the room rate of three-star hotels in the city. The research findings provide good ground for strategic management of the industry, in which there is an imbalance between demand and supply of hotel accommodations. In addition, being the first of its kind in one of the largest gaming revenue generation city in the world, this research provides valuable information for further research of its kind in the future.

Maria Amoamo is a post-doctoral fellow in Te Tumu, the School of Māori Pacific and Indigenous Studies at University of Otago in New Zealand. Maria's research interests include the representation of indigenous, cultural and heritage tourism. Her PhD thesis examined the issue of identity in relation to Māori regional tourism within a post-colonial framework. She is currently examining the economic value of identity in relation to determining ‘what is the profile of Māori tourism in Dunedin?’ Maria is also examining the issue of social vulnerability and resilience of Pacific Island communities in relation to tourism.