Analyzing the role of constraints and motivations behind traveling in the prediction of destination choice: Evidence from <scp>PLS‐SEM</scp> and <scp>fsQCA</scp>

Küçükergi̇n, Kemal Gürkan; Çalışkan, Caner; Dedeoğlu, Bekir Bora; Birinci, Muhammet Cenk

doi:10.1002/jtr.2479

Cited by 16 publications

(13 citation statements)

References 90 publications

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“…Additionally, the study reveals that PTCs impact push and pull factors. This supports the discovery by Küçükergin et al (2021) that travel constraints affect travel motivations. The study also finds that push factors influence pull factors among senior tourists.…”

Section: Discussionsupporting

confidence: 88%

“…Seniors face various constraints that affect their tourism participation, which must be identified and sufficiently addressed (Wen et al , 2020). Perceived travel constraints (PTCs) are factual present-focused barriers that impede tourism activities (Dale and Ritchie, 2020) and influence destination choice intentions (Küçükergin et al , 2021). In contrast to perceived travel risks (PTRs), which are potential adverse scenarios (Khan et al , 2020), PTCs are present realities (Monterrubio et al , 2021).…”

Section: Model Developmentmentioning

confidence: 99%

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Senior tourism: travel motivators and perceived constraints and risks for the elderly

Aggarwal

Hajra

Kukreja

2023

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Purpose To cater to the senior tourist market, it is essential to comprehend the factors motivating and deterring them from international travel post-COVID-19. This study aims to focus on senior citizens’ destination choice intentions and aims to develop a model that prioritizes positive and negative factors leading to international travel destination choices. It uses push–pull factors, perceived travel risks (PTRs) and perceived travel constraints (PTCs). Design/methodology/approach Decision-making trial and evaluation laboratory (DEMATEL) and fuzzy technique for order of preference by similarity to ideal solution (Fuzzy TOPSIS) are two multi-criteria decision-making (MCDM) techniques used to identify connections between variables and determine their relative importance in the decision-making model. Findings DEMATEL found push and pull factors are “effects” while PTCs and PTRs are “causes” affecting senior citizens’ destination choices. Push factors and PTCs have a greater impact than pull factors and PTRs. Fuzzy TOPSIS highlighted “improving health and wellness” and “self-fulfillment and spirituality” as key push factors, “health safety and security quotient” as the most important pull factor, and “interpersonal constraints” as the most critical PTC. Finally, “health risks” is the top PTR. Originality/value This paper adds to the tourism literature by looking at the relationship between senior tourists’ motivation, PTRs and PTCs and showing how the subfactors affect their choice of destination rank. The data analysis techniques used in this study are also novel, having never been used before in senior tourism research. Finally, even though there is a lot of research on senior tourism, not much is known about how Indian senior tourists act. In light of this study’s findings, practical recommendations were offered to tourism stakeholders worldwide, interested in tapping into the market of Indian outbound senior tourists or repositioning product or destination offerings to take this promising market or similar markets into account.

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Section: Discussionsupporting

confidence: 88%

Section: Model Developmentmentioning

confidence: 99%

Senior tourism: travel motivators and perceived constraints and risks for the elderly

Aggarwal

Hajra

Kukreja

2023

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“…fsQCA approach was designed for small and intermediate sample sizes (<50), but recent studies have shown its application for large sample sizes (Hosany et al, 2021; Kallmuenzer et al, 2019; Kraus et al, 2018; Küçükergin et al, 2021; N. Pappas, 2021).…”

Section: Resultsmentioning

confidence: 99%

“…As the underlying assumption of fsQCA is complex causality, 37 articles (51.4%) employed complexity theory as a leading or supportive theory. In 26 articles (36%), complexity theory was used as the leading theory, and all antecedent configurations were based on complex theory (Cheng & Xu, 2021;Han et al, 2019;Ku¨c xu¨kergin et al, 2021;Olya & Nia, 2021;Rasoolimanesh, Khoo-Lattimore et al, 2021;Rezapouraghdam et al, 2021;Robinot et al, 2021;Sim et al, 2018). Additional 11 articles (18.1%) used it as a supporting theory in combination with other theories, such as chaos theory (N. Pappas, 2017aPappas, , 2018Pappas, , 2019aPappas, , 2019bPappas, , 2021N.…”

Section: Theories Of Fsqcamentioning

confidence: 99%

Fuzzy-Set Qualitative Comparative Analysis as a Mixed-Method and Analysis Technique: A Comprehensive Systematic Review

Geremew

Huang

Hung

2023

Journal of Travel Research

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The review aims to explore fuzzy-set qualitative comparative analysis (fsQCA) as a bridge between the qualitative and quantitative paradigm divide in tourism, leisure, and hospitality management studies and explain why and how field scholars employ it. A comprehensive systematic review of complete and original articles from 31 top-tier tourism, leisure, and hospitality journals was conducted on the basis of the PRISMA framework. Since its inception in the field, fsQCA has been employed as a mixed method and analysis technique for theory development, testing, and data analysis. Its application in the field has grown because it acts as a back up in addressing complex sets through rigorous qualitative and quantitative approaches. Complexity, fuzzy set, planned behavior, chaos, and motivation are the leading theories consistently used; behavior, intention, motivation, performance, attitude, satisfaction, crisis, and experience are the complex research themes in the field that most frequently employ fsQCA.

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“…Numerous empirical studies indicate the necessity to examine travel motivation in order to more completely understand the travel decision-making process and destination choice (Dahiya, Batra, 2016;Jević, Popesku, Jević, 2020;Küçükergin et al, 2021;Pestana et al, 2020;Seabra et al, 2014;Yiamjanya, Wongleedee, 2014). Nonetheless, identifying the motives for which tourists stay in a particular destination enables greater knowledge of the tourist profile as well as adjusting the tourist offer to their needs (Chi, Phuong, 2021;Srihadi, Sukandar, Soehadi, 2016).…”

Section: Discussionmentioning

confidence: 99%

Investigating travel motivations for visiting urban destinations in the Republic of Serbia

Podovac

2022

Tour

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The aim of this article is to examine travel motivations for visiting urban destinations in the Republic of Serbia. Differences among the travel motives according to tourists’ demographic characteristics were also analyzed. The research was conducted from June 2018 to July 2019 on tourists who visited urban destinations in Serbia (Belgrade, Novi Sad, Niš and Kragujevac). The analysis included 390 valid answers from respondents. The research results, which are presented in the article, have shown that tourists visit urban destinations in Serbia for business, education, family and sightseeing. The contribution of this study is reflected in the identification of key travel motives for visiting urban destinations in Serbia and this can help those preparing a tourist offer to adjust their services to the needs and requirements of such tourists.

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Analyzing the role of constraints and motivations behind traveling in the prediction of destination choice: Evidence from PLS‐SEM and fsQCA

Cited by 16 publications

References 90 publications

Senior tourism: travel motivators and perceived constraints and risks for the elderly

Senior tourism: travel motivators and perceived constraints and risks for the elderly

Fuzzy-Set Qualitative Comparative Analysis as a Mixed-Method and Analysis Technique: A Comprehensive Systematic Review

Investigating travel motivations for visiting urban destinations in the Republic of Serbia

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