Modeling tourism climate indices through fuzzy logic

Alipour, Habib

doi:10.3354/cr01327

Cited by 16 publications

(13 citation statements)

References 47 publications

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“…As Darcy (2010) reports, the issue of disabled tourist accommodation is inherently complex, and complexity theory can be used to describe a causal model of the behavioral intentions of people with disabilities in this context. The functionality of fsQCA and complexity theory has already been acknowledged in the modelling of complex interactions of the antecedents leading to individuals' behavioral outcomes in the tourism and hospitality industry (Hsiao et al, 2015;Olya and Alipour, 2015;Olya and Altinay, 2016;Olya and Mehran, 2017;Wu et al, 2014).…”

Section: Purpose and Significance Of The Studymentioning

confidence: 99%

Behavioral intentions of disabled tourists for the use of peer-to-peer accommodations

Olya

Gazi

Aksal

et al. 2018

IJCHM

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Purpose: This empirical study aims to examine the causal models that predict disabled tourists' behavioral intentions to use peer-to-peer (p2p) accommodations. This study also explores the causal models through complex combinations of demographic factors, host attributes, and the levels of perceived charm, convenience, and other service features of the accommodations as a means of describing disabled tourists' behavioral outcomes.Design/methodology/approach: A questionnaire was administrated to measure the study variables. Using the convenience sampling technique, the questionnaires were distributed among disabled individuals with orthopedic disorders who reside in North Cyprus in May 2016.The five respondents were later interviewed about their needs and expectations from p2p accommodations. A set of preliminary tests (for both reliability and validity) were conducted, and descriptive statistics were used based on the scale items. Fuzzy set qualitative comparative analysis (fsQCA) was used to test the proposed research model, which revealed sufficient and consistent conditions leading to behavioral intentions of disabled tourists in their use of p2p accommodations. The predictive validity of the model was then tested. 1 Finally, the results of the fsQCA were evaluated based on the key tenets of complexity theory. Findings:The findings reveal under which conditions disabled tourists tend to use p2p accommodations. This empirical study has relied upon the use of causal models integrating combinations of demographic variables and host and accommodation place attributes (i.e., charm, convenience, and service features) which were put forth as sufficient predictive configurations of the behavioral outcomes of disabled tourists within the context of a sharing economy. Ultimately, this study find that p2p customers are not limited to travelers with low income levels. Research limitations/implications: The views of people with orthopedic problems in NorthCyprus were obtained for testing the configurational model, which means that the results do not necessarily represent a large range of customers' perspectives. Although this limitation was addressed through the application of a powerful compensatory analytical approach (fsQCA), it is advised that data from tourists with various types of disabilities in other countries be collected for future studies. Practical implications:The results of this study provide practical implications for hosts on how to combine accommodation place characteristics (e.g., charm, convenience, and service) with their own personal attributes (e.g., knowledge and eagerness) to bolster the disabled tourists' intentions to use p2p accommodations. It is hoped that the results of the fsQCA using the demographic variables presented here will guide businesses toward performing target marketing. This is useful for hosts who wish to attract more disabled tourists, a profitable segment of the market. Social implications:This study draws social attention to the disabled tourists as potential customers in the ...

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Section: Purpose and Significance Of The Studymentioning

confidence: 99%

Behavioral intentions of disabled tourists for the use of peer-to-peer accommodations

Olya

Gazi

Aksal

et al. 2018

IJCHM

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“…Doi: 10. /10941665.2018 mitigate the tourist's risk perception about unpredictable events and offers entrepreneurial opportunities for business and service providers (e.g., Olya & Altinay, 2016;Olya & Alipour, 2015a;b). This is important for commercial sectors, such as travel agencies, tour operators, and insurance firms, to consider tourism climate insurance as a new business opportunity in the current turbulent and unpredictable business environment.…”

Section: Discussionmentioning

confidence: 99%

Tourism climate insurance: implications and prospects

Alipour

Peyravi

Dalir

2019

Asia Pacific Journal of Tourism Research

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This paper investigates the intentions of tourists to purchase climate insurance as part of their holiday packages. A research model, based on Bagozzi's reformulation of attitude theory (BRAT) designed to examine the relationships between climate expectation-disconfirmation and the behavioral intentions of tourists in purchasing tourism climate insurance, with destination loyalty as an outcome. The model hypothesizes and tests whether expectation-disconfirmation can be resolved by insuring the product-climate. A structural equation modeling (SEM) is utilized. The results reveal that the expectation-disconfirmation of tourists in relation to climate is positively associated with their intentions to purchase insurance and negatively affects loyalty.

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“…20 Second, works adopting mixed methods are a minority out of the overall body of tourism and hospitality network literature. Accordingly, we encourage the current and upcoming generations of scholars to increasingly embrace mixed methods in their studies, as generally mixed methods (for instance fsQCA) are becoming increasingly relevant in the wider tourism and hospitality literature (e.g., Lee et al, 2017;Li et al, 2017;Olya and Alipour, 2015;Olya et al, 2018). Consistently, scholars willing to study tourism and hospitality networks by means of a mixed-method approaches are encouraged to establish research teams with a diversified set of methodological skills, since it is highly unlikely and unrealistic that a single researcher might master all the techniques needed to carry out a solid mixed-method research.…”

Section: Conclusion Implications and Limitationsmentioning

confidence: 99%

The relevance of mixed methods for network analysis in tourism and hospitality research

Mariani

Baggio

2020

IJCHM

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Purpose Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions. Design/methodology/approach The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects. Findings More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods. Research limitations/implications This study is based on academic papers and research published before 2019. A rich research agenda is designed. Originality/value This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.

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Modeling tourism climate indices through fuzzy logic

Cited by 16 publications

References 47 publications

Behavioral intentions of disabled tourists for the use of peer-to-peer accommodations

Behavioral intentions of disabled tourists for the use of peer-to-peer accommodations

Tourism climate insurance: implications and prospects

The relevance of mixed methods for network analysis in tourism and hospitality research

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