Tourism planning
Nima Khademi; Abbas Abbasi; Kazem Askarifar
Abstract
Local event tourism is one of the types of tourism that can play an essential role in the sustainable economic and social development of communities. However, this issue has received less attention. Meymand Fars Flower and Rose Festival is one of these events held every year in the spring season. This ...
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Local event tourism is one of the types of tourism that can play an essential role in the sustainable economic and social development of communities. However, this issue has received less attention. Meymand Fars Flower and Rose Festival is one of these events held every year in the spring season. This study aims to identify the factors that attract tourists to this event. For this purpose, the factors attracting tourists to the events were extracted by qualitative content analysis and then the tourists' opinions. Finally, a conceptual framework ofinfluencing factors on customers' tendencies, including 50 indicators in 15 components, was presented. Also, the quantitative analysis of Q data shows that accessibility, hospitality, and spending time with friends were essential for the first group of tourists, social interactions and event quality were necessary for the second group, patriotic and learning motives were important for the third group, and experience and enjoyment of the event were necessary for the fourth group. At the same time, natural attractions and enjoyment of the festival environment have been essential for all tourists, and these results can be a basis for formulating marketing strategies for local tourism events.IntroductionDuring the last two decades, the tourism industry has increasingly strengthened the local economy due to its high diversity and convenient access. In addition, the development of the tourism industry causes benefits such as increasing the employment and income of residents, improving transportation, and, most importantly, protecting the cultural heritage of local communities. One of the types of tourism is event tourism, which has grown significantly in recent years. Event tourism is a form of travel with special interests in which people visit a special event to attend or along with their trip. One of the important products in tourism development has been an event in the form of cultural festivals. In this regard, local festivals as a branch of cultural events are considered one of travelers’ actions in rural areas. On the other hand, due to its various natural, historical, and cultural attractions, Iran is considered one of the most capable countries in the world for organizing such events. For this reason, practical steps can be taken toward the successful development of this type of tourism by more closely examining the events and festivals held in the country. One of these local festivals is the Meymand Fars Flower and Rose Festival, held every year at the beginning of the rose-picking season for one month in the Meymand Fars region. In this regard, it will be beneficial to identify the effective factors in attracting tourists to this annual local event, to get a more detailed understanding of the affairs and a deeper understanding of the social, cultural, and economic realities of the region and to plan for the sustainable development of this region. However, this issue has received less attention despite its clarity and necessity. On this subject, the current research seeks to identify the indicators and components influencing the tendency of tourists to visit rural events by using the qualitative content analysis method and providing a conceptual framework of these factors. Then, by analyzing the data of Meymand Flower and Rose Festival tourists based on the conceptual model, the types of tourists of this local event were identified.Materials and MethodsThis research aims to identify the factors that attract event tourists to local festivals using the Q method in Meymand Flower and Rose Festival, Fars. In terms of purpose, this research is practical, and according to the approach and type of data, it can be categorized as mixed research. The current research was carried out in 2023 in Fars province regarding time and place. In this research, first, the qualitative content analysis method with a directional approach has been used to identify and determine the existing indicators. Then, to know the mentality of participants in the Meymand Fars Flower and Rose Festival and collect data (using the Q method), all the customers who participated in this festival in 2023 were studied.Discussion and ResultsIn the first step, based on the content analysis of the screened studies, the researchers reviewed the final studies several times to determine titles or themes. At this stage, the researchers identified the factors affecting tourists' tendency towards events. Since some words had the same meaning, the necessary overlaps were made, and some indicators were removed. In the next step, the content validity ratio of Lawshe was used to check the validity of indicators in rural tourism. After this step, the number of 50 indicators was finalized and categorized into 15 concepts. Then, in the quantitative part, the data obtained from the Q factor analysis methodology was used to identify and extract the mentality of tourists. For this purpose, the tourists' opinions about the factors affecting their attendance at the Meymand Flower and Rose Festival 2023 were collected. With exploratory factor analysis, the participants were selected based on the shared values and the role of the data in explaining the total explanatory variance, and finally, the Varimax rotation divided the rest into four groups after removing 30 of them.ConclusionsIn this research, an attempt was made to use a mixed approach; firstly, with the help of qualitative content analysis, the indicators and components of local festivals were identified, and then the mentality of the tourists of Meymand Fars Flower and Rose Festival was extracted as a study. Finally, a conceptual framework of influencingfactors on customers' tendencies, including 50 indicators in 15 components, was presented. Then, based on the results of the quantitative method, four groups of customers were identified in Meymand Rose and Rose Festival. Enjoying nature, weather, and flowers and plants are among the motivations that are common among all four groups; in other words, it was the common feature of all visitors to this festival. However, in the separated groups, the factors have a significant dispersion.In the first group, the three factors of accessibility, hospitality of the destination, and spending time with friends are among the unique factors that have attracted them to this festival. This group constituted almost 37 percent of the participants in the research.The second group, which included almost 27 percent of the sample of festival tourists, with a sense of loyalty to the event and satisfaction, considers this festival a platform for social interactions and feels a sense of national pride by attending it.The third group is attracted to this festival with patriotic motives and the aim of learning, excitement, and making memories, and the festival’s popularity has been one of the main reasons for them. Finally, the fourth group of this festival has chosen a suitable place for photography and a space to enjoy holidays and relaxation with the intention of diversity in experience.In this context, the most significant difference between the present research and the previous studies is related to the classification of factors affecting the tendency of tourists, so that in none of the mentioned researches, the factors influencing the attraction of event tourists to local festivals have not been reported in a comprehensive category.Therefore, it is recommended to relevant provincial and national policymakers and patriot service providers to pay attention to the extracted effective indicators as the most key factors in their service strategy by recognizing the important characteristics of each category of tourists.
Marketing economics
Ameneh Khadivar; Maryam Golestani; Fahimeh Golshani
Abstract
The main goal of the current research is to predict the ethical purchase intention of sustainable products in the circular business model through the behavior of customers/tourists using artificial neural network (ANN). The statistical population of the present study are customers/tourists who have used ...
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The main goal of the current research is to predict the ethical purchase intention of sustainable products in the circular business model through the behavior of customers/tourists using artificial neural network (ANN). The statistical population of the present study are customers/tourists who have used the products/services of Gargop restaurant. Sampling was done based on Morgan's table and 384 people were examined through a questionnaire. The results indicate that as much as the input variables include attitude (willingness to pay more money, attitude towards circular business models), perceived value (social value, functional value and value) and awareness (awareness of ethical product/service and brand awareness) have a higher value; it is expected that the ethical purchase intention will be stronger. The present study by examining the behavioral factors of customers to the collection of literature related to circular business models and also sustainable development helps.IntroductionTourism has many positive and negative economic, social, cultural, and environmental effects. These dimensions have always been and will be discussed in most sources as essential areas of destination sustainability in sustainable development issues. In the world, the tourism industry is known as a smoke-free industry. According to those mentioned above, the expectation from this industry without smoke is that all these active businesses will operate in line with sustainable development goals. On the other hand, the rapid growth of the world's population and urbanization increases consumption significantly, while natural resources are limited and scarce (De Angelis, 2018). The world's population is estimated to reach about nine billion people by 2050, and it consumes resources more than three times the current rate (Planning, 2015). The current linear economy, characterized by "take-produce-do things in order," accelerates the depletion of resources and energy (Boken et al., 2017).The concept of circular or circular economy, inspired by nature in the late 1970s, means that nothing is wasted and all outputs are inputs to other processes (Ellen McArthur, 2018). The circular economy is a strategy to oppose the traditional market system, aiming to deal with the challenge of lack of resources and waste disposal in a win-win approach with an economic and value perspective (Homrich et al., 2018). The ethical purchase intention of customers/tourists is essential for the successful implementation of circular business models and sustainable development. However, few researchers have focused on the role of customers/tourists in activating circular business models and sustainable development.The current research fills this gap by identifying the essential factors that affect the ethical purchase intention of customers/tourists for circular business models and sustainable products/services in the tourism industry in restaurants and catering centers. According to the research of researchers of this article, no research has been done on the mentioned subject in this way in Iran, so the value and innovation of the present research are also evident. Therefore, the main problem of the current research is that only some customers or tourists may buy and use sustainable products/services; for example, tourists interested in using luxury restaurants may need to be more attractive to them. In this regard, the main goal of the current research is to identify the behavioral factors that determine customers'/tourists' intention to purchase sustainable products in circular business models ethically.For this purpose, artificial neural network (ANN) has been used as a prediction method, and Python software has been used for analysis. The network's output in this research is ethical purchase intention, and its inputs are the behavioral factors of customers/tourists. The statistical population of this research is the customers/tourists who use the products/services of Gargop restaurant, the first wooden recycled restaurant in Iran, which has all its facilities, products, and services in line with sustainable development near Khorkhoran International Wetland in the coastal city of Bandar Khmeir, Hormozgan province. Sampling was done based on the table of Morgan and Krejcie, and 384 people were examined through a questionnaire. Materials and MethodsThe present research is quantitative; firstly, primary information was collected using a questionnaire, then analyzed using an artificial neural network (ANN) prediction method and Python software. The output of the network in this research is ethical purchase intention. Its inputs are the behavioral factors of customers/tourists, including attitude (willingness to pay more money - attitude towards circular business models), perceived value (social value - functional value - cognitive value) is awareness (biological awareness - environmental awareness - awareness of ethical product/service - brand awareness).The statistical population of this research is the customers/tourists who use the products/services of Gargop restaurant, the first wooden recycled restaurant in Iran, which has all its facilities, products, and services in line with sustainable development near Khorkhoran International Wetland in the coastal city of Bandar Khmeir, Hormozgan province. Sampling was done based on the table of Morgan and Krejcie, and 384 people were examined through a questionnaire.Discussion and ResultsThe specifications of the model are as follows:Due to the lack of balance of the data classes, that were 339 in category one (ethical purchase intention) and only 45 in category zero (no ethical purchase intention) the SMOTE algorithm (Chawla et al., 2002) have used to solve this problem and the increase of the data of the lower class (not intending to buy ethically). Therefore, the neural network was built with an equal number of 339 in class one (ethical purchase intention) and 339 in class zero (no ethical purchase intention). The data were divided into three categories: 70% training, 20% testing, and 10% validation. ConclusionsAccording to the research results, when x variables include attitude (willingness to pay more money (x1), attitude towards circular business models (x2)) - perceived value (social value (x3), functional value (x4) and cognitive value (x5)) and awareness (awareness of ethical product/service (x6) and brand awareness (x7)) get a higher value, variable y means ethical purchase intention also increases, gives that, of course, this relationship is not linear and is formed in the form of a network, and the hidden layer is also essential. By examining the issue from the customers' point of view, the present research contributes to the collection of literature related to ethical purchase intention and circular business models, and consequently to sustainable development, especially in the restaurant and tourism industry, and it provides valuable guidelines for businesses to be more successful in the current market. Considering that businesses have shifted from a linear economy to a circular economy, the vital role of customers/tourists should not be ignored.Therefore, understanding the essential behavioral factors of customers can pave this path, and by predicting their ethical purchase intention through these important behavioral factors, it is possible to predict their behavior and influence their behavior change because the behavior is not formed by itself and is the result of the customer's intention to buy ethically. The current research expands the role of customers and explains how different factors can collectively affect customers' acceptance and purchase intention of the circular business model. Business managers can apply the circular business model in their business and adjust the type of their offers according to the customers they want to target. The present research results help them better understand the behavior of customers who pay more attention to sustainable development goals and are concerned in some way.The intention (intention) and customers' buying behavior are essential to implement the circular business model successfully. Customers' different personal characteristics and changes over time make it difficult for businesses to fully understand their expectations and behavior. This is even more important given the drastic changes from linear to circular economies. Therefore, businesses should do deep market research about their target customers in different time frames and consider many characteristics in a categorized manner. Finally, to successfully brand and protect the brand, as a business that operates with sustainability goals, it should take special measures and stabilize this brand in customers' minds in the long term.
