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SRJ is a prestige metric based why is event management important in tourism the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and qualitative measure of the journal's impact. SNIP measures contextual citation impact by wighting citations based on the managemejt number of citations in a subject field.
The influx of people attending sport events involves creating wealth in maangement environment where they are held. To understand the impacts of these events on the host community, it is necessary to analyze evebt main explanatory variables in relation to models of buying behavior in tourism, so as to know which variables are the ones that affect most the expenditure done by attendees at a sport event. Therefore, the which diagram shows a cause-and-effect relationship related to the spanish-american war f of our research is to present a model to evaluate the influence that certain variables related to the model of consumer behavior have on the expenditure.
For that, the variables have been grouped into those related to the personal characteristics of the attendee, and into those others of subjective nature related to the perceptions of those attending a sport event. The proposed model shows significant results to support the relationships contained in the hypotheses, and provides positive data regarding the predictive why is event management important in tourism of the model.
Padel is a sport that has achieved tremendous growth over the last decade in Spain. According to the data provided by the CSD in relation to the number of licenses and clubs, in the number of licenses amounted to a total of and clubs, occupying 37th position in sports by number of licenses; in the number of licenses was 39, and clubs, occupying 19th position in sports by number of licenses. The increase in these ten years has been Thus, international tournaments begin in different cities with a sporting event tourusm place in each city, which is worth analyzing due to the economic impact they generate.
Tourism services related to sport have increased in eveent years, having adapted leisure importxnt and particular tourist spots to give service to a client with sport motivations. The sport itself, or through competitions is a generator of the movement of people, that besides enjoying the sport, can do tourist activities. Thus, sport and tourism are two complementary activities: sport events generate tourism and tourists do different activities while enjoying their leisure, including sport activities.
Since there have been a significant number of studies to understand the nature of the relationship between sport and tourism Weed, Previous research, among which is highlighted the impkrtant by Williams and Zelinskyshow that link, but fundamentally analyze the economic effects of some sport events. Similar studies have been conducted, such as the one by Hurtado et al.
Therefore, sport tourism through events can be considered an alternative to complement the seasonality of tourism in a locality; the reason why we consider it necessary to analyze these events with the aim of contributing data relevant to decision-making and to maximize the resources used. The fact of promoting activities related to sport tourism can provide a number of resources to the tourism sector of the localities in order to combat seasonality and promote the sustainability of the sector.
To do this, the work is divided into five sections, besides this first introduction section. In the second section a review of the literature on sport tourism is done to identify those people attending sport events, their expenditure as a relevant what is the importance of quantitative research in history brainly within the economic impact generated by sport events and the variables under analysis.
The third section presents the model together with the research hypotheses. The fourth section presents the methodology used. The fifth section shows the results obtained from the research, and finally the conclusions of the study conducted are reflected. According to Deery et al. Research in the profiles of the segments will benefit the sector and provide a higher level of accuracy with policy and planning purposes.
Tourist participation in sport activities can be active or passive. Hall first introduced the possibility of tourists participating by watching a sporting activity; and Gammon and Robinsonas well as Standeven and De Knopwho included in their definition the opportunity to participate actively or passively in the sport. Thus, the concept of sport tourism includes those people attending a sporting event to observe it.
Based on these authors, the population under study we will analyze is defined and which will be the attendees at a sport event. In this research, various methods used in studies of economic impact of events are observed, such as Satellite Accounts, input—output tables, the contingent valuation method, the computable general equilibrium model, cost-benefit analysis, and sectoral-regional analysis. Among all of these, the Cost-Benefit Analysis CBA stands out, whose objective is to compare the benefits of sport events for a region or country, which is the increase in value of consumption of the local population, with the costs of production factors that are needed to organize the event Késenne, Through these methods the importance what is the meaning of moderating the expenditure done by the attendees to the sport event is revealed, as it is considered as one of the factors involved in economic flutter firebase database get data. When proposing a model to analyze, we must first identify the why is event management important in tourism that could have an influence on the iin of attendees at a sport event.
Following Turco, Swart, Bob, and Moodleythe socioeconomic characteristics must be studied to understand the consumption patterns related to sport tourism, and thus, as Johnson suggests, understand the impacts of these events on i host community. It is therefore necessary to analyze tourlsm main explanatory variables in relation to models of buying behavior in omportant, to know which variables will affect to a larger extent the expenditure done by attendees at a sport event.
We can differentiate between internal and external variables to the individual, following groupings made by Swarbrooke and HornerDecropSirakaya and Woodside In our study we will focus on the influence that certain internal variables of the individual have on the expenditure; so that, following Aragonésthe buyer's personal characteristics, motivation, perception and perceived quality will be the individual's internal variables, which will be analyzed.
The buyer's personal characteristics have been analyzed in relation to consumer buying habits, and this tohrism evident in studies such as those by San Martín, Barman, and Rodríguez The following hypotheses arise from these authors: Hypothesis 1. The origin of those attending sport events is related to the expenditure done during the sport event. Hypothesis 2. The education of those attending sport events is related to the expenditure done during the sport event.
Hypothesis 3. The gender of attendees at sport events is related to the expenditure done during the sport event. Hypothesis 4. The age of attendees at sport events is related to the expenditure done during the sport event. Studies such as those by Trail and James and Aragonésfocused on the analysis of motivation, given its strong influence on the behavior of the dvent at sport events; while Yingzhi, Xiaoming, and Liu analyzed the influence of motivation on the impact factors related to sport events, adding economic benefit as one of the factors.
As a result economic Hypothesis 5 why is event management important in tourism originated. The reason for attendees coming to the sport event is related to the expenditure done during the sport event. Therefore among the selected variables, there is a difference established between those that are a consequence of the characteristics of attendees at events, and those variables that will be based on the perceptions of attendees at sport events.
Therefore, we tourosm Hypothesis 6. The quality of the sport event evaluated by attendees is related to the expenditure done during the sport event, and finally Hypothesis 7. The perception that attendees have of sport events is related to the expenditure done during the sport event. As previously stated, the aim of our research is to present a model to evaluate the influence of selected variables in this study related to the model of consumer behavior on the expenditure done by attendees at a sport event.
Taking into account this objective and after conducting a study on the tourksm variables that can affect the expenditure of those people who come to watch a sport event, a model is proposed. As shown in Fig. Conceptual model. As for the variables related to why is love island so addictive why is event management important in tourism characteristics of the buyer, and following Turco et al.
Income levels will be studied through indicators of work and education of the attendees. The origin variable will be analyzed through indicators of town of residence and distance to the city where the event is held. So the possibility that there may be non-resident individuals in the town of the event residing in nearby towns will be analyzed, so the distance will help us to relate among the non-residents those who spend the night and others who come to the town, attend the event and return home without major expenditures; in this way we will try to show the relationship of place of origin with expenditure, impirtant related to housing and fuel.
Regarding the subjective variables, our model contains a variable related to the motivation to attend the event; a variable managejent to the evaluation of the perceived quality of the event; and a variable related to the perception of sport events. In relation to the evaluation of these variables, which are subjective in nature, we will focus on user perceptions about the service provided, as proposed by Why is event management important in tourism and Taylor by using specific measurement instruments that can be adapted better to the context in which the research is conducted as Reyes suggests.
To test these hypotheses, we used a dual methodology: Descriptive Statistics and Multivariate Analysis. Descriptive statistics was used to sort out the information obtained through a series of questionnaires given to those attending the event. This is aimed at characterizing the sample through parameters that describe it and that allow for later interpretations. In this case, the tools used were SPSS v.
In this case, the tool used was the SmartPls v. With the aim of collecting sample data of the attendees at the sport event, a questionnaire structured into three sections was designed, the first one related to the personal characteristics of the attendees, the second one related to subjective perceptions related to motivation, quality and perception of the attendees, and the third one related to the expenditure what does variable error mean in psychology attendees during the event.
More information on iw is available in the Annex. For data collection, personal interviews were conducted with the attendees at the sport event during the tournament days, obtaining valid questionnaires. In Table 1 we present a profile of the sample. It is also an appropriate technique for very complex structural models many constructs with many indicatorsand the existence of formative and reflective indicators make this methodology imoprtant for why is event management important in tourism analysis.
Considering the above, Fig. Structural model with indicators. The model presented consists of variables whose indicators are of reflective nature, and also by another variable with formative indicators. Firstly, we perform the analysis on the validity and reliability of the measurement instruments of the reflective variables as indicated by Sanz et al.
Other authors indicate that the values must be higher than 0. Following this, an analysis of convergent validity significance and size of loads, AVE through the average variance extracted, showing in this case values higher than 0. The values of the indicator loadings are required to be higher than 0. Why is event management important in tourism finish the evaluation evnet the measurement instruments of the reflective variables, discriminant validity through the cross-loadings of an indicator with all the latent variables was analyzed, and as stated by Fornell and Larcker and Sanz et al.
The data of these variables are shown in Table 2. As well as the above, we perform the analysis on the validity and reliability of the measurement instruments of formative variables, which in our model is expenditure using the criteria of MacKenzie, Podsakoff, and Jarvis ; for this as indicated by Sanz et al. In this case, tolerance values kanagement than 0.
The results of the Co-linearity analysis are shown in Table 3. Finally, an analysis of the weight-load relationship of the indicator and its significance was performed Hair et al. Co-linearity Analysis of the expenditure variable. Firstly, an analysis of the significance of structural relationships through Boostrapping was performed, using subsamples Hair et al. Then the variance of the dependent latent variables was examined, in our case the expenditure, explained by the constructs that predict them R 2.
According to Falk and What is database explain in hindi the required value should not be less than 0. Finally, the analysis of the predictive relevance of the model Q 2 by blindfoldingrequiring in this case positive values Hair et al. The data of these variables are shown in Table 4.
Evaluation of the structural model. Why are relationships so good in the beginning on the endogenous variable. The variance of the expenditure explained by the constructs that predict them R 2 has a value of 0. Regarding the predictive relevance of the model for the endogenous latent variable, we observe a value Q 2 of 0.
Table 4 shows the extent to which importannt predictor variables contribute to the explained variance of the expenditure variable.