Using logistic regression for persona segmentation in tourism: A case study

Kang, Rui

doi:10.2224/sbp.8793

Cited by 3 publications

(4 citation statements)

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“…Due to the lack of an existing database to evaluate the characteristics and motivation for the aforementioned religious sites (Kang, 2020), a questionnaire was distributed to gather the required data. As per the insights of Study 1, the sample consisted of citizens and residents of KSA.…”

Section: Methodology and Data Collectionmentioning

confidence: 99%

“…In addition, there is limited research available that examines the personas of religious tourists; thus, this study used the limited research available that explores persona creation, in general using quantitative methods (An et al, 2018; Kang, 2020). Accordingly, due to the importance of persona creation in simplifying data processes and assisting decision-makers in understanding consumers’ needs (Onel et al, 2018; Lehnert et al, 2021), this study presented four personas, using k-means cluster analysis, for visitors in the context of religious tourism.…”

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

“…Due to the novelty of this research, there were numerous challenges relevant to the available literature and research methodology. Extant research has used available data and/or existing data bases as foundation for persona creation (An et al, 2018; Kang, 2020). However, due to the unavailability of such data, this study had to resort to primary instead of secondary data.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

“…Extant research proposes that creating a persona for consumers, within the context of special interest tourism, depends on their demographic and behavioural segmentation as well as travel motivation (Yousaf, Amin, & Santos, 2018;Kang, 2020;Oktadiana, 2020). After examining several papers that evaluated the demographic variables of participants travelling to KSA for religious purposes, gender, nationality, age, education and income were identified (Almuhrzi & Alsawafi, 2017;Rybina, 2018;Wu & Mursid, 2019a, 2019b.…”

Section: Persona Of Religious Touristsmentioning

confidence: 99%

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The personas and motivation of religious tourists and their impact on intentions to visit religious sites in Saudi Arabia

Kayal

2023

IJTC

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Purpose The purpose of this paper is to provide comprehensive, theoretical and practical knowledge that will assist decision-makers in making informed decisions when promoting several religious sites in the Kingdom of Saudi Arabia (KSA). Specifically, this study examines the popularity of several religious sites, the personas of prospective visitors and their intentions to visit. Design/methodology/approach The study uses several methodological approaches to fulfil its main objective, namely, Google Trends analysis, K-means cluster analysis and linear regression analysis. Findings The results reveal that several religious sites in the KSA are popular and have potential for further consideration by various stakeholders. In addition, four personas were identified which can aid decision-makers and marketing practitioners in designing suitable plans for prospective visitors based on the participants’ motivation and demographics. Furthermore, a significant association was observed among three motivational variables (self-esteem, relationship and physiological needs) and the participants’ intentions to visit. Originality/value This study makes an original contribution to the literature, as it examines several religious sites in Saudi Arabia in addition to the sites that are part of the practices of Hajj and Umrah. Furthermore, this study provides comprehensive knowledge in this area to assist both future researchers and practitioners.

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Section: Methodology and Data Collectionmentioning

confidence: 99%

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

Section: Limitations and Future Researchmentioning

confidence: 99%

Section: Persona Of Religious Touristsmentioning

confidence: 99%

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The personas and motivation of religious tourists and their impact on intentions to visit religious sites in Saudi Arabia

Kayal

2023

IJTC

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Mathematical Model of Logistic Regression for Binary Classification. Part 1. Regression Models of Data Generalization

Kravets,

Pasichnyk,

Prodaniuk

2024

Vìsn. Nac. unìv. "Lʹvìv. polìteh.", Ser. Ìnf. sist. merežì

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In this article, the mathematical justification of logistic regression as an effective and simple to implement method of machine learning is performed. A review of literary sources was conducted in the direction of statistical processing, analysis and classification of data using the logistic regression method, which confirmed the popularity of this method in various subject areas. The logistic regression method was compared with the linear and probit regression methods regarding the possibility of predicting the probabilities of events. In this context, the disadvantages of linear regression and the advantages and affinity of logit and probit regression methods are noted. It is indicated that the possibility of forecasting probabilities and binary classification by the method of logistic regression is provided by the use of a sigmoid function with the property of compressive transformation of an argument with an unlimited numerical value into a limited range from 0 to 1 real value of the function. The derivation of the sigmoid function in two different ways is described: based on the model of the logarithm of the odds of events and the model of logistic population growth. Based on the method of maximum likelihood, the construction of a logarithmic loss function was demonstrated, the use of which made it possible to move from a multi-extremal nonlinear regression problem to a unimodal optimization problem. Methods of regularization of the loss function are presented to control the complexity and prevent retraining of the logistic regression model.

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Creating an Online Brand Identity

Almeida

Ivanescu

Campos

2021

Advances in Hospitality, Tourism, and the Services Industry

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Content generation in the age of the internet of things has been transforming tourism businesses' digital strategies. Despite changes observed in the business environment following the continuous importance of consumers' role in the creation of content, hotels have to pay attention to the creation of their own content as it will influence visibility and relationship with customers. Information and communication technologies (ICT) are increasingly critical for the management and marketing of the hotel sector. This research aims at exploring the influence of generated content in the effectiveness of hotel brand identity creation. A case study was conducted on The Hotel, a luxury hotel located in Brussels, as a way to discuss the importance of the application of digital strategies in building hotel brand identity using a co-creation approach to the process. The chapter also highlights the tools used to communicate the identity and the resulting impacts on the performance of The Hotel.

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Using logistic regression for persona segmentation in tourism: A case study

Cited by 3 publications

References 0 publications

The personas and motivation of religious tourists and their impact on intentions to visit religious sites in Saudi Arabia

The personas and motivation of religious tourists and their impact on intentions to visit religious sites in Saudi Arabia

Mathematical Model of Logistic Regression for Binary Classification. Part 1. Regression Models of Data Generalization

Creating an Online Brand Identity

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