Advanced Research Methods in Hospitality and Tourism

Mixed methods research (MMR) represents an alternative methodological approach, combining qualitative and quantitative research styles, and enabling researchers to explore complex phenomena in detail. This chapter provides a critical view of mixed methods research and its application in social science research, with examples from tourism and hospitality used to guide those aiming to undertake mixed-methods research projects. The chapter provides insight into the characteristics of MMR, distinguishing it from a multi-method approach. It also provides a detailed explanation of different MMR designs and highlights the advantages and challenges of adopting a mixed-methods approach. Moreover, the chapter discusses approaches to analysis which are pivotal to MMR design. Finally, the chapter concludes with recommendations for researchers hoping to adopt a mixed-methods approach.

This chapter examines the application of exploratory sequential mixed methods design in the context of small accommodation enterprises (i.e., home-stay). This study, therefore, discusses the exploratory sequential mixed methods of data collection and analysis and provides practical illustrations based on a study of small tourism enterprise sustainability practices in Ghana. The findings demonstrate that mixed methods overcome the weaknesses of a mono-method and offer an in-depth understanding of tourism and hospitality phenomena. In addition to providing a practical guide to emerging tourism scholars, the current study highlights the ability of mixed methods to develop emerging practitioners' skills in both qualitative and quantitative data. In conclusion, the exploratory sequential mixed methods design offers pragmatic data collection techniques that are non-existent in mono-methods. Accordingly, it is recommended for exploring research questions when there is limited information and high flexibility is needed.

Numerous scales have been developed and utilized in the tourism and hospitality field, yet, their psychometric properties have not been systematically reviewed and evaluated. This gap compromises researchers' ability to develop better measures and improve measurement decisions. In this current study, 56 scales were identified and evaluated in terms of their psychometric properties. It was found that most scales were imperfect in measuring tourism and hospitality domains, and most scales did not provide explicit information about the scale development procedures that were adopted. The scale development procedure and psychometric properties of the reviewed scales are summarized, evaluated, and recommendations are made for future tourism and hospitality scale development.

This chapter explains and discusses the role and potential of psychophysiological tools of research in tourism and hospitality. As tourism and hospitality services are in general inseparable, i.e. the delivery and the consumption of the service mostly take place at the same time, they tend to involve service encounters which intense and frequent contact and social interactions between the customers and the service providers. These intense and frequent contact and social interactions during service encounters may determine the satisfaction and dissatisfaction of the customers. Hence, the measurement of actual emotions to understand the reactions of customers to various aspects of the service is of paramount importance. Psychophysiological tools, often referred to as neuromarketing tools, allow the collection of realistic data regarding the emotions of the customers. Based on the above background, this chapter explains and discusses the use of tools such as the EEG, Eye Tracker, Galvanic Skin Response, and Facial Expression Recognition in understanding tourism and hospitality customers' reactions and emotions to various aspects of the service.

The aim of this chapter is to emphasize the importance of archival material and how, despite its secondary nature, it is capable of providing first-hand information for researchers. By providing a variety of examples from tourism, hospitality and leisure, this chapter demonstrates how this underused data can be a valuable resource for these areas of study. In order to illustrate how to use archival material as data, a step-by-step process to analyzing archival photographs is provided. The chapter discusses the challenges and ethical considerations associated with using archival material while also providing suggestions for the use of this data source in future studies.

Millions of ratings and reviews about products are available on the Internet for free, and they are used by academic researchers in the tourism sector. Data from websites like TripAdvisor are replacing or complementing traditional questionnaires and interviews. The authors are proposing a methodology to estimate the percentage accounted for by the sample of self-interviewed individuals over the total study population, in order to calculate the reliability of the results obtained. Average percentages obtained for hotels cannot be easily generalized due to the high dispersion in participation rates among hotels, even in the same city. Participation levels for tourist attractions are substantially lower than those for hotels and are likely biased, due to the fact that some tourists evaluate places without actually visiting them, merely after viewing them from the outside.

The purpose of this chapter is to shed light on researchers and practitioners about sentiment analysis in hospitality and tourism. The technical details described throughout the chapter with a case study to provide clarifying insights. The proposed chapter adds significantly to the body of text mining knowledge by combining a technical explanation with a relevant case study. The case study used supervised machine learning to predict overall star ratings based on 20,247 comments related to Royal Caribbean International services for determining the impact of cruise travel experiences on the evaluation company process. The results indicate that travelers evaluate their travel experiences according to the most intense negative or positive feelings they have about the company.

Social media is noted for its usefulness and contribution to destination marketing and management. Social media data is particularly valued as a source to understand issues such as tourist behavior and destination marketing strategies. Among the social media platforms, Twitter is one of the most utilized in research. Its use raises two issues: the challenge of obtaining historical data and the importance of qualitative data analysis. Regarding these issues, the chapter argues that retrieving tweets using hashtags and keywords on the Twitter website provides a corpus of tweets that is valuable for research, especially for qualitative inquiries. In addition, the value of qualitative analysis of Twitter data is presented, demonstrating, among other things, how such an approach captures in-depth information, enables appreciation and inclusion of the nonconventional language used on social media, distinguishes between “noise” and useful information, and recognizes information as the sum of all parts in the data.

This study identifies and interprets the experiences and relationships of a host community to a marine national park in Sabah, Malaysian Borneo, as it transformed from a local recreation site into an international tourist destination. This chapter elaborates on an original and innovative amalgamation of qualitative methods used to collect data consisting of verbal and pictorial techniques, including focus group interviews, visitor employed photography, and an adapted Q-methodology incorporating photo-elicitation. The research design for data collection is provided as a guideline to illustrate how the study progressed through two essential parts. This study contributes to a gap in method on how to extract pictorial measures on a collective basis to systematically to produce group place meanings. Recommendations are suggested based on the challenges faced in this study. This innovative qualitative method was successful in deriving sense of place for a marine park.

In recent decades, our knowledge and perceptions of animals have changed considerably. An increasing number of scholars are interested in exploring animals and their roles in the context of tourism, hospitality and leisure. Recent studies have covered both practical and theoretical aspects of this topic, sometimes including considerations of animal ethics. This chapter argues that it is time to reflect on the research ethics and methodological implications of such emerging perspectives. The chapter presents a literature review addressing the shift in tourism, hospitality and leisure studies from a human/animal dualism and anthropocentrism focus to a recognition and inclusion of animals' perspectives. It develops a set of guidelines for a methodology intended to underpin research about and involving animals, inspired by the ecofeminist care tradition and elaborated on in light of the reviewed literature and the author's personal experience. Three main approaches are identified: fictional, multispecies ethnography, and multispecies technology-based approaches.