Mapping gender in tourist behaviour based on instagram

Agustí, Daniel Paül i

doi:10.1016/j.jort.2021.100381

Cited by 12 publications

(5 citation statements)

References 33 publications

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“…In other words, what impact do social media posts have on the perception of environmental corporate social responsibility and the intention to choose an environmentally friendly hotel. It also suggests the feasibility of using Instagram as a tool to identify these differences in the behavior of tourists, segmenting them by article, as well as by topics whether they traveled alone or with other people [14]. This study opens up the possibility of using Instagram as a tool to identify various forms of tourist behavior.…”

Section: Literature Review and Problem Statementmentioning

confidence: 87%

Improving the organizational and economic support for the development of enterprises in the hospitality industry in the use of information and communication technologies

Petrovska

Safronova

Mіtal

et al. 2021

EEJET

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Conceptual foundations of organizational and economic support for the development of enterprises in the hospitality industry have been developed, taking into account the level of use of information and communication technologies. It has been determined that the main results of the influence of information technologies on the hospitality industry are the optimization of business processes, as well as the transformation of the target consumer of hospitality services. The types of information and communication technologies are systematized depending on the direction of the business processes of the cycle of providing hospitality services. It has been substantiated that through the active use of information and communication technologies, hospitality industry enterprises satisfy the needs of customers in full in accordance with modern requirements. The relationship was established between the results of assessing the level of organizational and economic support for the development of information and communication technologies and the strategic choice of enterprises in the hospitality industry. Three types of strategies are identified – information expansion, improvement, retention and further development – depending on the low, medium and high level of development of information and communication technologies, respectively. The directions of increasing the level of development of information and communication technologies of the hospitality industry at different levels are proposed. The developed theoretical and methodological provisions can be useful in the formation of the concept of strategic development of the hospitality industry. The use of the proposed toolkit reflects the results, both quantitatively (increasing demand for hospitality services, improving financial performance, etc.) and in a qualitative form (improving the quality of service, creating a positive image, etc.).

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Section: Literature Review and Problem Statementmentioning

confidence: 87%

Improving the organizational and economic support for the development of enterprises in the hospitality industry in the use of information and communication technologies

Petrovska

Safronova

Mіtal

et al. 2021

EEJET

View full text Add to dashboard Cite

show abstract

“…Additionally, we studied the research scopes from the lens of tourist gender, and we found that females have a strong tendency to attribute events’ outcomes to external causes; females’ external attribution toward events differences is consistent with female tourists’ experiences being highly affected by service providers’ initiatives (Brown and Osman 2017). Female tourists (vs. males) are more emotional about events’ outcomes (Paül I Agustí 2021). They seek more information than males (Kempf and Palan 2006) to ensure high stability and controllability of events (Wilson and Little 2008).…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the current study contributes to DSR literature and attribution theory (Jackson 2019; Zhang, Prayag, and Song 2021) in tourism literature by providing empirical evidence that tourists’ locus of causality could be affected by the experience valence not only by individual traits. Third, we contribute to tourism gender studies in tourism literature (Paül I Agustí 2021; Wang, Qu, and Hsu 2016) by explaining that females (vs. males) are more likely to perceive social responsibility initiatives and attribute events’ outcomes to service providers with an external LOC. These theoretical contributions offer crucial practical implications to tourism destination managers.…”

Section: Discussionmentioning

confidence: 99%

Attribution Theory Revisited: Probing the Link Among Locus of Causality Theory, Destination Social Responsibility, Tourism Experience Types, and Tourist Behavior

Saleh

2022

Journal of Travel Research

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From a parochial perspective, destination social responsibility (DSR) is crucial in maintaining tourists’ loyalty, trust, and satisfaction. From a broad sense, destination social responsibility could play an essential role as an attribution shifting mechanism inside tourists’ mindsets and differ according to tourism experiences’ nature. To investigate this broad sense, the present study is the first to use locus of causality theory (LOC) to address this issue. By employing a quantitative method, we found that with the presence of DSR, tourists who externally (vs. internally) attribute positive events’ outcomes and have no intention to spread positive word-of-mouth (WOM) changed their attribution toward events with positive WOM. Moreover, adventure, business, and sustainable tourists are likely to perceive DSR advantages compared with leisure and cultural tourists by considering their internal LOC (internal attribution) and external LOC (external attribution). Furthermore, the study provided critical theoretical and managerial implications for tourism managers/scholars.

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“…Several authors focus on the content of the images uploaded to the platform and their attributes such as the colors (Yu and Egger, 2021;Yu et al, 2020) or the image theme (Aramendia-Muneta et al, 2021). Other studies use the attributes of the image combined with other types of information like the geo-tagged data of the posts (Rossi et al, 2018;Paül i Agustí, 2021), engagement-related metrics like the number of likes and comments, or both (Paül i Agustí, 2018;Palazzo et al, 2021). In addition to image-related data, some studies analyze other data from Instagram, such as textual data of posts (Filieri et al, 2021) or the geo-tagged data by itself (Ma et al, 2020).…”

Section: Internet Sourcesmentioning

confidence: 99%

Digital footprint for tourism research

Cebrián,

Domenech

2023

Preprint

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Tourists leave a digital footprint across a variety of repositories when planning and carrying out their activities. This information can be pro- cessed to extract valuable insights about tourist behavior. The objective of this paper is to conduct a comprehensive analysis of the digital foot- print sources employed in understanding and predicting the main variables associated with tourist behavior. A model of the purchase consumption system specific to leisure travel behavior is utilized for source classification, as it identifies potential predictors of travelers’ choices and classifies them into three stages: pre-trip, during-trip, and post-trip. Our work presents a comprehensive map of the utilization of digital footprint resources in tourism research, which provides insights into the potential predictors of tourists’ choices.

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Mapping gender in tourist behaviour based on instagram

Cited by 12 publications

References 33 publications

Improving the organizational and economic support for the development of enterprises in the hospitality industry in the use of information and communication technologies

Improving the organizational and economic support for the development of enterprises in the hospitality industry in the use of information and communication technologies

Attribution Theory Revisited: Probing the Link Among Locus of Causality Theory, Destination Social Responsibility, Tourism Experience Types, and Tourist Behavior

Digital footprint for tourism research

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