Pub Date : 2021-06-30DOI: 10.29036/jots.v12i22.263
Jakub Horvath, B. Gavurová, R. Bačík, Richard Fedorko
Even though two decades have passed since the introduction of e-commerce in the B2C model, the uncertainty posed by the online environment makes many consumers reluctant to engage in online commerce. The buyer's behaviour is inherently uncertain, given that the buyer's decisions have consequences that cannot be fully predicted. In the relationship between the buyer and the seller, the perceived uncertainty is defined as the extent to which the buyer cannot accurately predict the outcome of the transaction due to factors related to the seller and the product. This paper deals with the uncertainty of the new generation of customers in the process of electronic commerce. Based on the analysis of previous research in the field of perception of and understanding of uncertainty in online transactions, the aim of this paper is to identify the sources of perceived uncertainty of Generation Y when shopping online. Research in this area was carried out using the method of the main components, based on which five factors related to uncertainty and concerns in the process of electronic commerce were extracted. The paper identifies the main factors of uncertainty perceived by customers and also verifies the correlation between these factors and the intention of the Millennials to buy. The subject matter is relevant and applicable both to the area of products but also to the area of services in the field of tourism and hospitality.
{"title":"Identification of Uncertainty Factors in the Consumer Behaviour of the New Generation of Customers at the E-commerce Level","authors":"Jakub Horvath, B. Gavurová, R. Bačík, Richard Fedorko","doi":"10.29036/jots.v12i22.263","DOIUrl":"https://doi.org/10.29036/jots.v12i22.263","url":null,"abstract":"Even though two decades have passed since the introduction of e-commerce in the B2C model, the uncertainty posed by the online environment makes many consumers reluctant to engage in online commerce. The buyer's behaviour is inherently uncertain, given that the buyer's decisions have consequences that cannot be fully predicted. In the relationship between the buyer and the seller, the perceived uncertainty is defined as the extent to which the buyer cannot accurately predict the outcome of the transaction due to factors related to the seller and the product. This paper deals with the uncertainty of the new generation of customers in the process of electronic commerce. Based on the analysis of previous research in the field of perception of and understanding of uncertainty in online transactions, the aim of this paper is to identify the sources of perceived uncertainty of Generation Y when shopping online. Research in this area was carried out using the method of the main components, based on which five factors related to uncertainty and concerns in the process of electronic commerce were extracted. The paper identifies the main factors of uncertainty perceived by customers and also verifies the correlation between these factors and the intention of the Millennials to buy. The subject matter is relevant and applicable both to the area of products but also to the area of services in the field of tourism and hospitality.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49653983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.29036/jots.v12i22.241
Navickas Valentinas, Ieva Petrokė, Vaida Bačiulienė, T. Vasylieva
The authors of the article investigated the sharing economy elements as an ecosystem and analyzed the advantages and disadvantages of the sharing economy in the tourism sector. Exploring the elements of the sharing economy's ecosystem can help identify the challenges of globalization and lead to exploiting the sharing economy's potential more efficiently in the tourism sector. The study of the impact of the sharing economy as an ecosystem on the tourism sector is also made relevant by the lack of research examining the advantages and disadvantages of sharing economy models. To determine the impact of the sharing economy on the tourism sector, the authors analyzed the scientific literature. An empirical study of business models based on the sharing economy in the tourism sector was carried out. Moreover, the advantages and disadvantages were identified of the sharing economy in the tourism sector. The authors' analysis has shown that, despite conflicting views on the impact and importance of the sharing economy in the tourism sector, many experts are optimistic about sharing economy-based models in this sector. Research by the authors of the article shows that sharing economy-based businesses are superior to traditional business models. The sharing economy-based models are preeminent because of more affordable prices for tourists, better satisfaction of individual needs, opportunities to become part of the community, a more comprehensive range of services, better access to tourism services. A better quality of services also highlights the advantages of economy-based businesses. Although the study was conducted in the Lithuanian tourism sector, we can assume that the study data can be unified and applied to analyze similar markets in other countries.
{"title":"The Impact of the Sharing Economy as an Ecosystem on the Tourism Sector","authors":"Navickas Valentinas, Ieva Petrokė, Vaida Bačiulienė, T. Vasylieva","doi":"10.29036/jots.v12i22.241","DOIUrl":"https://doi.org/10.29036/jots.v12i22.241","url":null,"abstract":"The authors of the article investigated the sharing economy elements as an ecosystem and analyzed the advantages and disadvantages of the sharing economy in the tourism sector. Exploring the elements of the sharing economy's ecosystem can help identify the challenges of globalization and lead to exploiting the sharing economy's potential more efficiently in the tourism sector. The study of the impact of the sharing economy as an ecosystem on the tourism sector is also made relevant by the lack of research examining the advantages and disadvantages of sharing economy models. To determine the impact of the sharing economy on the tourism sector, the authors analyzed the scientific literature. An empirical study of business models based on the sharing economy in the tourism sector was carried out. Moreover, the advantages and disadvantages were identified of the sharing economy in the tourism sector. The authors' analysis has shown that, despite conflicting views on the impact and importance of the sharing economy in the tourism sector, many experts are optimistic about sharing economy-based models in this sector. Research by the authors of the article shows that sharing economy-based businesses are superior to traditional business models. The sharing economy-based models are preeminent because of more affordable prices for tourists, better satisfaction of individual needs, opportunities to become part of the community, a more comprehensive range of services, better access to tourism services. A better quality of services also highlights the advantages of economy-based businesses. Although the study was conducted in the Lithuanian tourism sector, we can assume that the study data can be unified and applied to analyze similar markets in other countries.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42933931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.163
Leyla Atabay, B. Çizel
This article examines user-generated content (UGC) related to hotels in three different mass tourism destinations (Antalya, Majorca, and Sharm El Sheikh) that offer services with the all-inclusive system (AIS) to comparatively analyses tourists' evaluations and emotions about service components. While the study was designed with the content analysis method, text mining and sentiment analysis were used together. Customer reviews (UGC) of top hotels in three different mass tourism destinations were collected from an on-line travel review site. A total of 3588 English hotel reviews were analysed by the R program. Analysis of the reviews for famous mass tourism destination hotels in the Mediterranean region has also clearly revealed the priority service characteristics (rooms, staff, and food) and dominant emotions for hotels in all destinations in comparison. Moreover, the multiple correspondence analysis results clearly show how the emotions about the services of the hotels in three different regions diverge. Analysis results provide important clues for mass tourism destination hotels working with AIS.
{"title":"Comparative Content Analysis of Hotel Reviews by Mass Tourism Destination","authors":"Leyla Atabay, B. Çizel","doi":"10.29036/jots.v11i21.163","DOIUrl":"https://doi.org/10.29036/jots.v11i21.163","url":null,"abstract":"This article examines user-generated content (UGC) related to hotels in three different mass tourism destinations (Antalya, Majorca, and Sharm El Sheikh) that offer services with the all-inclusive system (AIS) to comparatively analyses tourists' evaluations and emotions about service components. While the study was designed with the content analysis method, text mining and sentiment analysis were used together. Customer reviews (UGC) of top hotels in three different mass tourism destinations were collected from an on-line travel review site. A total of 3588 English hotel reviews were analysed by the R program. Analysis of the reviews for famous mass tourism destination hotels in the Mediterranean region has also clearly revealed the priority service characteristics (rooms, staff, and food) and dominant emotions for hotels in all destinations in comparison. Moreover, the multiple correspondence analysis results clearly show how the emotions about the services of the hotels in three different regions diverge. Analysis results provide important clues for mass tourism destination hotels working with AIS.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42698080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.165
Powel Maxwell Worimegbe, Temitope Mariam Worimegbe, Elizabeth Abiola-Oke
The application of gaming techniques and its measurement have engendered many discussions. Premised on the gamification dimensions of loyalty programs, advertising, and promotions, and creating or developing new services, this study examines the effect of the dimensions of gamification on the elements of customers' experience in the Hospitality industry. Utilising the survey research design and two-stage sampling technique, 700 customers of hotels and restaurants were sampled in the Nigerian Hospitality sector. The multivariate analysis was used in data analysis. The results reveal that gamification significantly affects customers' experience. The findings showed that creating new services is the most significant measure of gamification affecting customers' experience. The study also established that loyalty programmes, advertising, and promotion, and creating new services as dimensions of gamification are drivers of customers' experience. Firms in the service sector should pay attention to the issue of gamification in order to create a better customer experience, which could sustain competitiveness in the long-run. The study recommends that gamification strategies should be utilized in the hospitality industry. Emphases should be placed on making sure the customers' have peace of mind while patronizing the hospitality and tourism industry. The study contributes to the literature on the utilization of gamification in the Hospitality industry. The study analyzed the interaction between gamified services and customers' experience by utilizing each element of gamification separately.
{"title":"Gamification and Customers Experience in the Hospitality Industry","authors":"Powel Maxwell Worimegbe, Temitope Mariam Worimegbe, Elizabeth Abiola-Oke","doi":"10.29036/jots.v11i21.165","DOIUrl":"https://doi.org/10.29036/jots.v11i21.165","url":null,"abstract":"The application of gaming techniques and its measurement have engendered many discussions. Premised on the gamification dimensions of loyalty programs, advertising, and promotions, and creating or developing new services, this study examines the effect of the dimensions of gamification on the elements of customers' experience in the Hospitality industry. Utilising the survey research design and two-stage sampling technique, 700 customers of hotels and restaurants were sampled in the Nigerian Hospitality sector. The multivariate analysis was used in data analysis. The results reveal that gamification significantly affects customers' experience. The findings showed that creating new services is the most significant measure of gamification affecting customers' experience. The study also established that loyalty programmes, advertising, and promotion, and creating new services as dimensions of gamification are drivers of customers' experience. Firms in the service sector should pay attention to the issue of gamification in order to create a better customer experience, which could sustain competitiveness in the long-run. The study recommends that gamification strategies should be utilized in the hospitality industry. Emphases should be placed on making sure the customers' have peace of mind while patronizing the hospitality and tourism industry. The study contributes to the literature on the utilization of gamification in the Hospitality industry. The study analyzed the interaction between gamified services and customers' experience by utilizing each element of gamification separately.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49519293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.175
B. Gavurová, V. Ivanková, M. Rigelský, M. Přívarová
Global trends indicate a systematic increase in the importance of tourism. From an economic point of view, spending plays an essential role in the spectrum of tourism services indicators. Simultaneously, the competitiveness of economies is a key economic indicator; thus, research in this area is considered beneficial. This study's objective was to assess the significance of the structure of clients' spending on tourism in the context of the global competitiveness of OECD countries, with the primary focus on the effect of individual types of tourism spending on competitiveness. Several analytical procedures were used in the processing, such as descriptive analysis, relationship analysis, regression analysis, and cluster analysis. Secondary data were included in the analyses, and these data represented six variables determining tourism spending obtained from the World Travel & Tourism Council (WTTC) database: i - Business Tourism Spending (BTS), ii - Domestic Tourism Spending (DTS), iii - Internal T&T Consumption (ITTC), iv - Leisure Tourism Spending (LTS), v - Outbound Travel & Tourism Expenditure (OTTE), vi - Visitor Exports (Foreign spending) (VEFS); and one variable determining competitiveness: the Global Competitiveness Index (GCI), which was obtained from reports published by the World Economic Forum (WEF). These data were collected for all OECD countries from 2010 to 2018. The results of the regression analysis clearly confirmed the effect of tourism spending on competitiveness in OECD countries. The most significant effects were found in BTS and OTTE, and the least significant impact was identified in VEFS. The results provide valuable information for strategic and development plan makers and institutions responsible for improving the business environment in tourism. The study and its results also offer space for developing national and international benchmarking indicators in this area.
{"title":"Relations Between Tourism Spending and Global Competitiveness – an Empirical Study in Developed OECD Countries","authors":"B. Gavurová, V. Ivanková, M. Rigelský, M. Přívarová","doi":"10.29036/jots.v11i21.175","DOIUrl":"https://doi.org/10.29036/jots.v11i21.175","url":null,"abstract":"Global trends indicate a systematic increase in the importance of tourism. From an economic point of view, spending plays an essential role in the spectrum of tourism services indicators. Simultaneously, the competitiveness of economies is a key economic indicator; thus, research in this area is considered beneficial. This study's objective was to assess the significance of the structure of clients' spending on tourism in the context of the global competitiveness of OECD countries, with the primary focus on the effect of individual types of tourism spending on competitiveness. Several analytical procedures were used in the processing, such as descriptive analysis, relationship analysis, regression analysis, and cluster analysis. Secondary data were included in the analyses, and these data represented six variables determining tourism spending obtained from the World Travel & Tourism Council (WTTC) database: i - Business Tourism Spending (BTS), ii - Domestic Tourism Spending (DTS), iii - Internal T&T Consumption (ITTC), iv - Leisure Tourism Spending (LTS), v - Outbound Travel & Tourism Expenditure (OTTE), vi - Visitor Exports (Foreign spending) (VEFS); and one variable determining competitiveness: the Global Competitiveness Index (GCI), which was obtained from reports published by the World Economic Forum (WEF). These data were collected for all OECD countries from 2010 to 2018. The results of the regression analysis clearly confirmed the effect of tourism spending on competitiveness in OECD countries. The most significant effects were found in BTS and OTTE, and the least significant impact was identified in VEFS. The results provide valuable information for strategic and development plan makers and institutions responsible for improving the business environment in tourism. The study and its results also offer space for developing national and international benchmarking indicators in this area.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46502579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.151
Juan José Tarí, Jorge Pereira-Moliner, José F. Molina-Azorín, María D. López-Gamero
This work aims to identify quality standard adoption levels and their relationship with quality management practices and performance (customer, employee and social results, and organizational performance) in tourism organizations in Spain. This work uses 279 tourism organizations in the following subsectors: hotels, travel agencies, restaurants, and rural accommodations. The work applies cluster and regression analyses. Results show three levels of adoption and a lower degree of development of the continuous improvement dimension. Organizations with a significantly lower level of development of the quality standard have started to integrate the quality requirements in their daily practices to some extent and where continuous improvement practices are little developed. These organizations have significantly lower results than those organizations with higher adoption of quality. The results also indicate that a greater level of adoption of a quality standard leads to a higher development of QM practices. These results are interesting for managers, destination managers, and the wider tourism professional community. It contributes to supplementing previous studies about taxonomies of quality standard adoption in the particular case of tourism organizations in Spain and may serve as a starting point for further research on that topic.
{"title":"A Taxonomy of Quality Standard Adoption: Its Relationship with Quality Management and Performance in Tourism Organizations In Spain","authors":"Juan José Tarí, Jorge Pereira-Moliner, José F. Molina-Azorín, María D. López-Gamero","doi":"10.29036/jots.v11i21.151","DOIUrl":"https://doi.org/10.29036/jots.v11i21.151","url":null,"abstract":"This work aims to identify quality standard adoption levels and their relationship with quality management practices and performance (customer, employee and social results, and organizational performance) in tourism organizations in Spain. This work uses 279 tourism organizations in the following subsectors: hotels, travel agencies, restaurants, and rural accommodations. The work applies cluster and regression analyses. Results show three levels of adoption and a lower degree of development of the continuous improvement dimension. Organizations with a significantly lower level of development of the quality standard have started to integrate the quality requirements in their daily practices to some extent and where continuous improvement practices are little developed. These organizations have significantly lower results than those organizations with higher adoption of quality. The results also indicate that a greater level of adoption of a quality standard leads to a higher development of QM practices. These results are interesting for managers, destination managers, and the wider tourism professional community. It contributes to supplementing previous studies about taxonomies of quality standard adoption in the particular case of tourism organizations in Spain and may serve as a starting point for further research on that topic.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44883870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.139
I. Fernando
Hospitality and Tourism are among the fastest-growing sectors and the source of foreign exchange with indirect-direct employments for quite an appreciable number of economies worldwide. The nature of the sector provides an avenue towards regional development through entrepreneurship venture creations, value addition to the abandoned resources, and regeneration of abandon natural resources with new themes as a novel approach. Tourism currently in a paradigm shift as a comparative advantage of destination is becoming less important than a competitive advantage. The traditional destinations are diminishing while creating novel destinations more relaxation-oriented while leading to residents' economically enriched livelihood. The paper critically analyzes the current tourism competitive position of Sri Lanka with a panel of five rival destinations by adopting shift-share analysis by developing two propositions. Regional Tourism arrivals in rival tourism destinations have been used to perform Shift-share analysis. Findings revealed (a) Sri Lanka as a destination is gaining the competitive advantage of four tourism regions out of six markets. The competitive strategies proposed as recommendations to gain market specialization to the regions with a competitive advantage; (a) market specialization by targeting the markets with a competitive advantage, (b) new marketing programs for markets with competitive disadvantage, and (c) collaborative programs among Asian tourism destinations. The results would be beneficial to Asian region tourism decision-makers trusted with the growth and application of competitive strategies.
{"title":"Tourism Competitiveness by Shift-Share Analysis to way-forward Destination Management: A case study for Sri Lanka","authors":"I. Fernando","doi":"10.29036/jots.v11i21.139","DOIUrl":"https://doi.org/10.29036/jots.v11i21.139","url":null,"abstract":"Hospitality and Tourism are among the fastest-growing sectors and the source of foreign exchange with indirect-direct employments for quite an appreciable number of economies worldwide. The nature of the sector provides an avenue towards regional development through entrepreneurship venture creations, value addition to the abandoned resources, and regeneration of abandon natural resources with new themes as a novel approach. Tourism currently in a paradigm shift as a comparative advantage of destination is becoming less important than a competitive advantage. The traditional destinations are diminishing while creating novel destinations more relaxation-oriented while leading to residents' economically enriched livelihood. The paper critically analyzes the current tourism competitive position of Sri Lanka with a panel of five rival destinations by adopting shift-share analysis by developing two propositions. Regional Tourism arrivals in rival tourism destinations have been used to perform Shift-share analysis. Findings revealed (a) Sri Lanka as a destination is gaining the competitive advantage of four tourism regions out of six markets. The competitive strategies proposed as recommendations to gain market specialization to the regions with a competitive advantage; (a) market specialization by targeting the markets with a competitive advantage, (b) new marketing programs for markets with competitive disadvantage, and (c) collaborative programs among Asian tourism destinations. The results would be beneficial to Asian region tourism decision-makers trusted with the growth and application of competitive strategies.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":" ","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46387662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.168
Yenal Yağmur, A. Aksu
The study's primary purpose is to reveal the destination image evaluations of Antalya by the tourists staying with the concept of halal tourism with the proposed model. In this context, the study was designed as survey-based quantitative research and was carried out on 660 tourists selected by a simple random sampling method in 6 hotels in Antalya destination. As a result of the structural equation modelling analyses, it was determined that the cognitive images of the tourists staying in hotels with the concept of halal tourism affected tourist satisfaction positively. Their effective images did not significantly impact tourist satisfaction, and that their effective images affected intention to recommend positively while their cognitive images influenced it negatively. Besides, it was found that both cognitive and affective image dimensions did not significantly affect intention to revisit. Furthermore, the results of the analyses indicated that cognitive images of the tourists positively affected their affective images. Tourist satisfaction had a positive impact on their intention to recommend and intention to revisit. According to the research results, it was determined that the cognitive image is a key element for the tourists staying in the halal concept to evaluate Antalya's destination. In this regard, it is evident that public policymakers and hotel managers should formulate their policies and strategies, taking into account the results of the research, as well as implementing policies and practices aimed at increasing the affective evaluations of tourists, which are more important than the cognitive evaluations of tourists in Antalya destination. Finally, it is believed that the study will reveal important practical implications in the context of developing policies and strategies for the managers of the hotels with the concept of halal tourism and for local authorities in the destination and revealing the relationship between destination image, tourist satisfaction and behavioural intentions.
{"title":"Destination Image of Antalya from the Perspectives of Tourists Staying in Hospitality Establishments with the Concept of Halal Tourism","authors":"Yenal Yağmur, A. Aksu","doi":"10.29036/jots.v11i21.168","DOIUrl":"https://doi.org/10.29036/jots.v11i21.168","url":null,"abstract":"The study's primary purpose is to reveal the destination image evaluations of Antalya by the tourists staying with the concept of halal tourism with the proposed model. In this context, the study was designed as survey-based quantitative research and was carried out on 660 tourists selected by a simple random sampling method in 6 hotels in Antalya destination. As a result of the structural equation modelling analyses, it was determined that the cognitive images of the tourists staying in hotels with the concept of halal tourism affected tourist satisfaction positively. Their effective images did not significantly impact tourist satisfaction, and that their effective images affected intention to recommend positively while their cognitive images influenced it negatively. Besides, it was found that both cognitive and affective image dimensions did not significantly affect intention to revisit. Furthermore, the results of the analyses indicated that cognitive images of the tourists positively affected their affective images. Tourist satisfaction had a positive impact on their intention to recommend and intention to revisit. According to the research results, it was determined that the cognitive image is a key element for the tourists staying in the halal concept to evaluate Antalya's destination. In this regard, it is evident that public policymakers and hotel managers should formulate their policies and strategies, taking into account the results of the research, as well as implementing policies and practices aimed at increasing the affective evaluations of tourists, which are more important than the cognitive evaluations of tourists in Antalya destination. Finally, it is believed that the study will reveal important practical implications in the context of developing policies and strategies for the managers of the hotels with the concept of halal tourism and for local authorities in the destination and revealing the relationship between destination image, tourist satisfaction and behavioural intentions.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":"1 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69620582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.171
M. Çuhadar
Tourism demand is the basis on which all commercial decisions concerning tourism ultimately depend. Accurate estimation of tourism demand is essential for the tourism industry because it can help reduce risk and uncertainty as well as effectively provide basic information for better tourism planning. The purpose of this study is to develop the optimal forecasting model that yields the highest accuracy when compared to the forecast performances of three different methods, namely Artificial Neural Network (ANN), Exponential Smoothing, and Box-Jenkins methods for forecasting monthly inbound tourist flows to Croatia. Prior studies have been applied to forecast tourism demand to Croatia based on time series models and casual methods. However, the monthly and comparative tourism demand forecasting studies using ANNs are still limited, and this paper aims to fill this gap. The number of monthly foreign tourist arrivals to Croatia covers the period between January 2005-December 2019 data were used to build optimal forecasting models. Forecasting performances of the models were measured by Mean Absolute Percentage Error (MAPE) statistics. As a result of the experiments carried out, when compared to the forecasting performances of various models, 12 lagged ANN models, which have [4-3-1] architecture, were seen to perform best among all models applied in this study. Considering both the empirical findings obtained from this study and previous studies on tourism forecasting, it can be seen that ANN models that do not have any negativities (such as over-training, faulty architecture, etc.) produce successful forecasting results when compared with results generated by conventional statistical methods.
{"title":"Modelling and Forecasting Inbound Tourism Demand to Croatia using Artificial Neural Networks: A Comparative Study","authors":"M. Çuhadar","doi":"10.29036/jots.v11i21.171","DOIUrl":"https://doi.org/10.29036/jots.v11i21.171","url":null,"abstract":"Tourism demand is the basis on which all commercial decisions concerning tourism ultimately depend. Accurate estimation of tourism demand is essential for the tourism industry because it can help reduce risk and uncertainty as well as effectively provide basic information for better tourism planning. The purpose of this study is to develop the optimal forecasting model that yields the highest accuracy when compared to the forecast performances of three different methods, namely Artificial Neural Network (ANN), Exponential Smoothing, and Box-Jenkins methods for forecasting monthly inbound tourist flows to Croatia. Prior studies have been applied to forecast tourism demand to Croatia based on time series models and casual methods. However, the monthly and comparative tourism demand forecasting studies using ANNs are still limited, and this paper aims to fill this gap. The number of monthly foreign tourist arrivals to Croatia covers the period between January 2005-December 2019 data were used to build optimal forecasting models. Forecasting performances of the models were measured by Mean Absolute Percentage Error (MAPE) statistics. As a result of the experiments carried out, when compared to the forecasting performances of various models, 12 lagged ANN models, which have [4-3-1] architecture, were seen to perform best among all models applied in this study. Considering both the empirical findings obtained from this study and previous studies on tourism forecasting, it can be seen that ANN models that do not have any negativities (such as over-training, faulty architecture, etc.) produce successful forecasting results when compared with results generated by conventional statistical methods.","PeriodicalId":43795,"journal":{"name":"Journal of Tourism and Services","volume":"1 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42682533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-31DOI: 10.29036/jots.v11i21.147
Abdullah Uslu, Gürkan Alagöz, Erkan Güneş
The purpose of this research is to determine the socio-cultural, economic, and environmental effects of tourism perceived by the local community living in Manavgat/Turkey on the satisfaction with the tourism development, to identify the effect of this satisfaction with tourism development, and to ascertain the moderator role of the demographic variables in this relationship. The population of the research is the local community living in Manavgat/Turkey. EFA, CFA, path analyzes, and Slope difference tests have been performed through 384 surveys collected from the local community. As a result, it has been determined that perceived socio-cultural, economic, and environmental positive effects of tourism and negative environmental effects have an impact on satisfaction with tourism development. Meanwhile, it has been determined that the local community's satisfaction with tourism development affects the attitude and gender has a moderator role on this effect. In line with these results, public institutions, tourism professionals, and non-governmental organizations in Manavgat will be able to better perceive the local community's attitudes and behaviors.
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