Factorial structure of the determinants of tourist stay in the biosafety protocol before Covid-19

The reactivation of tourism had been studied from the influence of the habitus of transfer and stay, but with the health contingency this process was mediated by the information of the places with biosafety protocols. The objective of the present work was to contrast a model of the determinants of stay, considering the mediating variables of the information. A confirmatory, psychometric and cross-sectional study was carried out with a selection of 100 students from a public university in central Mexico. A factorial structure was found that explained 61% of the variance and established the intention to transfer as a predictor, suggesting the extension of the work towards biosafety protocols.

Introduction recreation and entertainment. Today, they go out to break out of confinement, adjusting their actions to biosafety protocols. In Mexico, a large sector of tourists has contracted the infection in congregations, but by going to health centers or following the safeguard protocols they have avoided complications. In fact, most of the victims are people who have not gone on a leisure trip in the last year or have been exposed in high-risk areas and groups such as informal commerce.
The transfer and stay network, being determined by the need and search for information, suggests a useful process of the pages of airlines, hotels and tourist destinations, as well as an efficiency when finding offers on planned dates (Carreon, . Consequently, the usefulness and efficiency in the use of tourist information determines the decision to search for offers and promotions, as well as the purchase of packages and the consequent transfer and stay to the selected area. In this way, the aesthetic habitus that consists of the satisfactory experience of appreciating the environment would be linked to the perception of utility when buying a reservation (Carreon, Espinoza & García, 2019). Or, the ethics of consumption would be associated with the efficiency of finding the least polluting offer. It is these relationships that explain the reactivation of tourism based on an ethical, aesthetic, rational, deliberate, planned, systematic and expressive process of tourism.
The objective of this work is to contrast a model of the determinants of the transfer and stay experience based on aesthetic, ethical, rational and expressive habitus, as well as the perception of utility and efficiency in the search for travel and stay offers. Are there differences between the structure of determinants of the reservation, transfer and stay experience reported in the literature with respect to the structure observed in the present work?.
The premise that supports the research assumes that the pandemic modified the relationships between habitus and the experience of transfer and stay, displacing them due to the need and efficiency of information processing when planning a vacation . In that sense, the perceived usefulness and the efficiency of data management determine customer satisfaction regardless of their exposure to contagion while moving or staying in a closed or open hotel for ventilation and distancing (Sandoval et al., 2021).

Method
Design. An exploratory, cross-sectional and psychometric study was conducted with a selection of Internet users, considering their time of use. In the first phase, the reliability and validity of the instruments that measured the five variables was built and established. In the second phase, the likelihood of adjusting indirect and direct, negative and positive, and significant causal relationships between the study variables was modeled and demonstrated.

Sample
There were 100 students selected from the Metropolitan Autonomous University. Instrument. The Garcia et al., Tourist Reactivation Scale (2020) was used, which includes 10 variables related to aesthetic ("Visit attractive places"), ethical ("Respect biosafety protocol"), expressive ("Visiting endearing places") and rational habitus ("Visit places with green traffic lights"), as well as perceptions of utility ("On this page I will find a green traffic light offer"), ease ("On this page I will quickly find a travel and accommodation offer") in the search for information, which determine the variables of intention of reservation ("I would book on this page if we were on a green traffic light"), transfer ("I would travel on this airline if we were at a green traffic light") and stay ("I would stay at this hotel if we were on a green light"). They all include five response options ranging from 0 = "not likely" to 5 = "quite likely".

Process
The psychometric properties of the instruments that measure the study variables are detailed in the table where they meet the requirements for multivariable analysis. During the first week of the spring quarter of 2020 at the UAM-I page, students were asked how often they used their phone to download images, sounds and speeches to select the ideal sample. Subsequently, the questionnaire was provided indicating a response time of 30 minutes to answer it.

Analysis
The parameters of reliability, validity, adequacy, sphericity, correlation, covariance, fit and residual were estimated (Hernandez, Carreon & Garcia, 2019). Values close to zero were assumed as spurious relationships except for the residual parameter, which was considered as a contrast clairvoyance of the null hypothesis (Martínez, Espinoza & García, 2019). Values close to unity were distinguished as evidence of non-rejection of the null hypothesis (Villegas, 2019). Table 1 shows the reliability and validity values that suggest a factorial structure of principal axes with promax rotation. In other words, the variables seem to configure a hybrid process of planning and improvisation when making the decision and executing the intention to travel and stay in a tourist destination. Source: Elaborated with data study; Adequation (KMO = 0,890), Sphericity ⌠χ2 = 213,24 (24 df) p < ,05⌡Extraction: Principal Axes, Rotation: Promax. M = Mean, SD = Standard Deviation, A = Alpha excluded value item, F1 = Aesthesis (16% total variance explained and alpha with ,780), F2 = Ethos (13% total variance explained and alpha with ,775), F3 = Hexis (10% total variance explained and alpha with ,759), F4 = Eidós (7% total variance explained and alpha with ,771), F5 = Usefulness (5% total variance explained and alpha with ,776), F6 = Ease (4% total variance explained and alpha with ,795), F7 = Reservation (3% total variance explained and alpha with ,783), F8 = Transfer (2% total variance explained and alpha with ,762), F9 = Stay (1% total variance explained and alpha with ,750). The factorial structure explained 61% of the total variance and its 10 factors were estimated by their relationships in order to be able to appreciate their association structure (see Table 2). The correlation structure suggests axes, trajectories and relationships between the determining variables of the reservation intention, transfer and stay, fully corroborating the partial relationship structure reported in the literature (see Figure 1). The correlation structure suggests axes, trajectories and relationships between the determining variables of the reservation intention, transfer and stay, fully corroborating the partial relationship structure reported in the literature (see Figure 1). The structural equation model shows that the predictor of stay is transfer. It is a structure of axes, trajectories and relationships between the determining variables of the stay. In turn, the ease of use of information determines the transfer experience. In other words, the information available on the Internet regarding an airline and its link with the accommodation determines the intention to move. This process begins with the habitus of expressiveness that affects ease of use. In fact, the disposition in favor of a tourist destination favors the search for offers and the satisfactory experience of traveling to that place. The adjustment and residual parameters ⌠χ2 = 214,34 (24df) p > ,09; GFI = ,997; CFI = ,995; RMSEA = ,008⌡suggest the non-rejection of the null hypothesis that indicates significant differences between the structure reported in the consulted literature with respect to the structure observed in the present study.

Discussion
The contribution of the work lies in the contrasting of the model of determinants of the intention of tourist stay. The factorial structure that explained 61% of the total variance suggests that the intention to move determines the intention to stay. This is so because the habitus of expressiveness explains the reasons for visiting significant places for tourists. In addition to this distinction, the ease of access to promotions determines the transfer to the selected destination. In relation to the factorial structure reported in the literature and which suggests the incidence of habitus on the satisfactory experience of the transfer and stay, the present work corroborates this trajectory and suggests that such process is mediated by the ease of access to promotions. This question is essential to anticipate the tourist reactivation provided that the pages of the airlines and hotels are explicit in terms of promotions adjusted to the biosecurity that the situation demands. Research lines concerning the knowledge and intention to carry out the security protocol; use of masks, alcohol gel, face shield, oximeter and social distancing would explain the possibilities to reactivate tourism. In other words, the biosecurity protocol as a guideline for the parties involved will mediate the identity and satisfaction process that tourism explains.

Conclusion
The objective of this work was to contrast the model of the determinants of tourist stay, considering a review of the literature on the habitus and acceptance of information technology. The results suggest the norm of the null hypothesis alluding to the significant differences between the theoretical structure with respect to the observed structure. A line of research derived from the biosecurity protocol to reactivate tourism suggests that the use of a mask, alcohol gel, mask, oximeter and healthy distance would mediate the process of transfer and stay. Regarding public policies related to the reactivation of tourism in times of pandemic, the present work suggests an intense promotion of tourist destinations on social networks, since the expressive habitus is often manifested in photos or videos about travel experiences, stay and return. Access and ease of searching for information, coupled with the transfer experience would determine the choice of a tourist destination.