A Bibliometric Study on Eye-Tracking
Research in Tourism

Atabay, Eniser; Güzeller, Cem Oktay

doi:10.37741/t.69.4.8

Cited by 12 publications

(7 citation statements)

References 48 publications

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“…For systematic reviews , Scott et al [ 13 ], Atabay and Güzeller [ 14 ], and Savin et al [ 8 ] assessed the application of ET in tourism research. Meanwhile, Li et al [ 15 ] investigated the use of EEG in tourism and hospitality studies.…”

Section: Resultsmentioning

confidence: 99%

Systematic Review and Future Direction of Neuro-Tourism Research

2023

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Neuro-tourism is the application of neuroscience in tourism to improve marketing methods of the tourism industry by analyzing the brain activities of tourists. Neuro-tourism provides accurate real-time data on tourists’ conscious and unconscious emotions. Neuro-tourism uses the methods of neuromarketing such as brain–computer interface (BCI), eye-tracking, galvanic skin response, etc., to create tourism goods and services to improve tourist experience and satisfaction. Due to the novelty of neuro-tourism and the dearth of studies on this subject, this study offered a comprehensive analysis of the peer-reviewed journal publications in neuro-tourism research for the previous 12 years to detect trends in this field and provide insights for academics. We reviewed 52 articles indexed in the Web of Science (WoS) core collection database and examined them using our suggested classification schema. The results reveal a large growth in the number of published articles on neuro-tourism, demonstrating a rise in the relevance of this field. Additionally, the findings indicated a lack of integrating artificial intelligence techniques in neuro-tourism studies. We believe that the advancements in technology and research collaboration will facilitate exponential growth in this field.

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Section: Resultsmentioning

confidence: 99%

Systematic Review and Future Direction of Neuro-Tourism Research

2023

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“…It provides an overview of the themes and their network representing the cognitive structure (Zupic & Čater, 2014). The use of software analysis coupled with the web of science database provides a systematic and objective approach to the literature on the topic (Atabay, & Güzeller, 2021). Figure 1 shows the flow of the study.…”

Section: Methodsmentioning

confidence: 99%

Is There Anything New?

Lanke

Paul

2022

Tourism (Zagreb, Online)

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This research paper explores the conceptual structure of the literature published on "customer satisfaction" and identifies novel research gaps. For the purpose of the study, we create the co-occurrence networks and conduct thematic analysis as well as factorial analysis of the content of the papers published on customer satisfaction in the last two decades (2000-2020) in tourism and hospitality journals. We use 'R' software to conduct the analysis based on the data retrieved from the web of science database. Findings from the network analysis and thematic analysis are discussed to identify novel research gaps to further advance the ever-evolving field of research on "customer satisfaction". Our purpose with this paper is to bring to light the research gaps using a systematic, quantitative and objective technique of drawing the conceptual structure. Findings reveal that research on customer satisfaction in emerging contexts and restaurant research prominently deserve further attention, including work that compares customer expectation and satisfaction pre-and-post COVID in a context such as restaurants, destination tourism, and sharing economy, to name a few.

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“…Applying the authorship attribution method allows us to feature specific segments of an article to individual authors to analyze scientific authorship at a more fine-grained level [64]. Collaboration among authors is essential in research production [65], [66]. Arya and Sharma [67] found that the main factors in research productivity are collaborative research and authorship.…”

Section: Authorship Patternmentioning

confidence: 99%

Bibliometric study of association rule-market basket analysis

Yanti,

Elquthb,

Rachmadewi

et al. 2024

IJAAS

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Association rule-market basket analysis (AR-MBA) is a data mining technique for finding distinguished relationship patterns from a collection of items. The application of AR-MBA is also increasingly widespread, starting from retail and hotels to hospitals. So, bibliometrics related to AR-MBA needs to be done to reveal what research opportunities can be later carried out by reviewing and analyzing publications about AR-MBA. 91 bibliographies in 1 decade from 2012-2022 were collected using Harzing's Publish or Perish (PoP). VOSviewer is also employed to map authorship and publication topic trends. This paper is innovative because it identifies trends and future research directions in data mining, specifically in association with AR-MBA. The findings show publication productivity, top authors, types of publications, annual topic trends within a decade, term distribution, most cited and most influential articles, and research gaps that can be opportunities for further research.

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A Bibliometric Study on Eye-Tracking Research in Tourism

Cited by 12 publications

References 48 publications

Systematic Review and Future Direction of Neuro-Tourism Research

Systematic Review and Future Direction of Neuro-Tourism Research

Is There Anything New?

Bibliometric study of association rule-market basket analysis

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