Exploring new ways of visitor tracking using big data sources: Opportunities and limits of passive mobile data for tourism

Reif, Julian; Schmücker, Dirk

doi:10.1016/j.jdmm.2020.100481

Cited by 43 publications

(25 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This paper also contributes to the burgeoning demonstration of the potential of big data approaches in studying spatio-temporal behavior of tourists (Caldeira and Kastenholz, 2020; Reif and Schmücker, 2020; Shi et al , 2020) and broader issues in tourism and hospitality (Pillai and Sivathanu, 2020; Ravi et al , 2019). In particular, it shows the strengths of using mobile data to better understand how tourists move within and across destinations.…”

Section: Discussionmentioning

confidence: 94%

Toward travel pattern aware tourism region planning: a big data approach

Han

Novais

Zejnilović

2021

IJCHM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to propose and demonstrate how Tourism2vec, an adaptation of a natural language processing technique Word2vec, can serve as a tool to investigate tourism spatio-temporal behavior and quantifying tourism dynamics. Design/methodology/approach Tourism2vec, the proposed destination-tourist embedding model that learns from tourist spatio-temporal behavior is introduced, assessed and applied. Mobile positioning data from international tourists visiting Tuscany are used to construct travel itineraries, which are subsequently analyzed by applying the proposed algorithm. Locations and tourist types are then clustered according to travel patterns. Findings Municipalities that are similar in terms of their scores of their neural embeddings tend to have a greater number of attractions than those geographically close. Moreover, clusters of municipalities obtained from the K-means algorithm do not entirely align with the provincial administrative segmentation.

show abstract

Section: Discussionmentioning

confidence: 94%

Toward travel pattern aware tourism region planning: a big data approach

Han

Novais

Zejnilović

2021

IJCHM

View full text Add to dashboard Cite

show abstract

“…Attraction of tourists to rural areas can be an important factor of the development of the local economy. These claims find endorsement in the papers of such authors as Sangwon Park, Yang Xu, Liu Jiang, Zhelin Chen, Shuyi Huang, Hai-Ninh Do, Wurong Shih, Quang-An Ha, Julian Reif, Dirk Schmücker, 2020 [1,2,3]. It is noted that mobile applications in the field of tourism are most actively used by young people.…”

Section: Methodsmentioning

confidence: 99%

The application potential of mobile excursion applications for the rural tourism development in the Rostov region

2021

View full text Add to dashboard Cite

The present article is concerned with usability of smartphone applications in the field of tourism and excursions to expand rural tourism in the territory of the Rostov region. Analysis of the market of smartphone touristic applications, their relevance in regard to various parameters (preferred territories, user age), geography of arrival, growth rate of user count. Recommendations on the development of smartphone application usage in the field of rural tourism with consideration of the existing possibilities and prospects.

show abstract

“…o API-bridge between big data and digital marketing [74] o Digital transformations [75] o Practice of technological convergence and innovation [58] o Information flow for decision making on the continuous transitions [58] o All in one integrated system [55,60] -ERP system/cloud system capability -Process oriented (core system easily integrated with third party application both in cloud and on premise) [24,76]  Digital technology readiness [68,77] -The degree to which SMEs are prepared to transition into digitized workflows.…”

Section:  Digital Transition Capability (Dtc)mentioning

confidence: 99%

“…PE comprises 'Perceived benefits', and EE is considered similar to 'Perceived ease of use' based on TAM. Previous studies have shown that performance expectations, when combined with perceived ease of use of the information system and functionality, are more likely to generate behavioral intention and that effort expectancy has a major impact on behavioral intention [5,45,68,77]. In the context of mobile applications, prior research has examined SI, FC, HM, PV, and HB in a variety of contexts, and their relationship with BI has been reported as both significant and insignificant.…”

Section: -2-structural Model and Hypothesis Proposedmentioning

confidence: 99%

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

et al. 2022

View full text Add to dashboard Cite

This study is part of a government research project which aims to synthesise the current evidence on the factors affecting the intention of mobile application adoption called ‘Tripper Notifier Application’ (TNA) for the hospitality and tourism industrial sector in Thailand. The focus is on small and medium enterprises (SMEs), which emphasize restaurants, hotels, and attraction sites. The present article examines various factors influencing the intention to use such applications by employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) as the theoretical underpinning of this research paradigm. Using 84 selected research papers in Scopus published between 2020 and 2022, A thematic analysis incorporating a grounded theory approach to systematically generate themes was conducted, and the findings found three main themes, including business transformation capabilities (BTC), digital transformation capabilities (DTC), and personal innovativeness (PI), as an extension of UTAUT-2 as mediator and moderator variables. To this end, the study fills the research gaps and extends the UTAUT-2 framework by including an initiative of twelve inside attributes-based lines, including performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit behavior, behavioral intention, and use behavior, together with three moderators: age, gender, and experience. Finally, the context dimensions of the UTAUT-2 extensions were mapped to highlight all the constructs of the TNA adoption framework for future research directions. The novel contribution of this study is to fill the gap with both theoretical and practical knowledge. On the theoretical level, this study constitutes constructs based on UTAUT-2 theory as a research-based setting to fill a gap in research. On the practical level, it provides insights and information about new capabilities that SME owners, managers, and practitioners should consider in order to differentiate their own capabilities. Doi: 10.28991/esj-2021-SP1-014 Full Text: PDF

show abstract

Exploring new ways of visitor tracking using big data sources: Opportunities and limits of passive mobile data for tourism

Cited by 43 publications

References 55 publications

Toward travel pattern aware tourism region planning: a big data approach

Toward travel pattern aware tourism region planning: a big data approach

The application potential of mobile excursion applications for the rural tourism development in the Rostov region

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

Contact Info

Product

Resources

About