{"title":"THE EFFECT OF COLOR IN AIRBNB LISTINGS ON GUEST RATINGS","authors":"H. Jang","doi":"10.30519/ahtr.819112","DOIUrl":"https://doi.org/10.30519/ahtr.819112","url":null,"abstract":"","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"150 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74151058","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}
This study investigates whether and how key components of organizational attractiveness are interrelating to impose the maximum positive impact on the air transportation job market. An expert panel was shaped to gauge judgments regarding the driving power of each criterion over the other. The results of Interpretive Structural Modelling (ISM) revealed that organizational and job characteristics are the main criteria with the most driving power in the model fostering perceived fit. In addition, corporate branding and corporate social responsibility (CSR) demonstrated the highest dependence on the other criteria. The results were further validated through Impact Matrix Crossreference Multiplication to a classification (MICMAC). The hierarchical pattern of study findings offers theoretical contributions to the study of organizational attractiveness. Practical implications of the results and study limitations are also
{"title":"Understanding Airline Organizational Attractiveness Using Interpretive Structural Modelling","authors":"Sanaz Vatankhah, Shiva Ilkhanizadeh","doi":"10.30519/ahtr.833629","DOIUrl":"https://doi.org/10.30519/ahtr.833629","url":null,"abstract":"This study investigates whether and how key components of organizational attractiveness are interrelating to impose the maximum positive impact on the air transportation job market. An expert panel was shaped to gauge judgments regarding the driving power of each criterion over the other. The results of Interpretive Structural Modelling (ISM) revealed that organizational and job characteristics are the main criteria with the most driving power in the model fostering perceived fit. In addition, corporate branding and corporate social responsibility (CSR) demonstrated the highest dependence on the other criteria. The results were further validated through Impact Matrix Crossreference Multiplication to a classification (MICMAC). The hierarchical pattern of study findings offers theoretical contributions to the study of organizational attractiveness. Practical implications of the results and study limitations are also","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"71 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85898702","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}
Febriana Riestyaningrum, A. Pashaev, Alessio Si̇mone, Sem Si̇samuth
Wuhan was discouraged over time as a tourist destination after the COVID-19 pandemic spread around the world. This unique and unexpected situation, particularly affected foreign students’ behaviour, urging them to avoid the well-known Chinese tourist spot, notoriety recently tainted by the spread of the epidemic around the world. The objective of this research is to determine if there are any direct and indirect impacts of destination image on behavioural intention through attitude. Based on an online survey of 385 participants were analysed using path analysis through a nonprobability, convenience-sampling approach. Findings suggest that: (1) destination image is directly associated with attitude; (2) attitude is directly associated with behavioural intention; (3) destination image is directly associated with behavioural intention; (4) destination image is indirectly associated with behavioural intention through attitude. The outcome of this research will therefore a contribution to decision-making process managers of tourism destinations so that they can manage their business in the best possible way to accommodate the post-pandemic situation.
{"title":"Destination Image Impacts of Wuhan Post-pandemic on China’s Foreign Students’ Behavioural Intention","authors":"Febriana Riestyaningrum, A. Pashaev, Alessio Si̇mone, Sem Si̇samuth","doi":"10.30519/ahtr.829292","DOIUrl":"https://doi.org/10.30519/ahtr.829292","url":null,"abstract":"Wuhan was discouraged over time as a tourist destination after the COVID-19 pandemic spread around the world. This unique and unexpected situation, particularly affected foreign students’ behaviour, urging them to avoid the well-known Chinese tourist spot, notoriety recently tainted by the spread of the epidemic around the world. The objective of this research is to determine if there are any direct and indirect impacts of destination image on behavioural intention through attitude. Based on an online survey of 385 participants were analysed using path analysis through a nonprobability, convenience-sampling approach. Findings suggest that: (1) destination image is directly associated with attitude; (2) attitude is directly associated with behavioural intention; (3) destination image is directly associated with behavioural intention; (4) destination image is indirectly associated with behavioural intention through attitude. The outcome of this research will therefore a contribution to decision-making process managers of tourism destinations so that they can manage their business in the best possible way to accommodate the post-pandemic situation.","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"13 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87771498","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}
Understanding tourists’ future behavior is significant for local tourism profits. This paper aims to examine the interrelationships among experiential quality, tourist satisfaction, experiential trust, sharing tourism experience on social media, and extension effect. 796 responses were collected in the 66th MGP (Macau Grand Prix) via questionnaires. The results reveal that four dimensions (physical environment quality, access quality, outcome quality, and enjoyment quality) have positive effects on experiential quality. In addition, the results also indicate the following relationships: Experiential quality has a significant effect on tourist satisfaction; experiential quality and tourist satisfaction positively influence experiential trust; tourist satisfaction and experiential trust have significant effects on behavior of sharing tourism experience on social media, and both tourist satisfaction and experiential trust positively influence extension effect. This paper identifies the dimensions of experiential quality in sport tourism events and it plays a leading role in extending literature on tourists’ behavioral intentions of sharing behavior on social media and extension effect. The findings assist practitioners to implement marketing strategies of MGP, which enhance the extension effect and the new marketing promotions through social media. They also help various stakeholders such as destination managers and travel agents to trigger and increase local tourism
{"title":"Exploring Experiential Quality in Sport Tourism Events: The Case of Macau Grand Prix","authors":"Shan Wang, Yi Li, J. Wong","doi":"10.30519/AHTR.821699","DOIUrl":"https://doi.org/10.30519/AHTR.821699","url":null,"abstract":"Understanding tourists’ future behavior is significant for local tourism profits. This paper aims to examine the interrelationships among experiential quality, tourist satisfaction, experiential trust, sharing tourism experience on social media, and extension effect. 796 responses were collected in the 66th MGP (Macau Grand Prix) via questionnaires. The results reveal that four dimensions (physical environment quality, access quality, outcome quality, and enjoyment quality) have positive effects on experiential quality. In addition, the results also indicate the following relationships: Experiential quality has a significant effect on tourist satisfaction; experiential quality and tourist satisfaction positively influence experiential trust; tourist satisfaction and experiential trust have significant effects on behavior of sharing tourism experience on social media, and both tourist satisfaction and experiential trust positively influence extension effect. This paper identifies the dimensions of experiential quality in sport tourism events and it plays a leading role in extending literature on tourists’ behavioral intentions of sharing behavior on social media and extension effect. The findings assist practitioners to implement marketing strategies of MGP, which enhance the extension effect and the new marketing promotions through social media. They also help various stakeholders such as destination managers and travel agents to trigger and increase local tourism","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"34 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75289597","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}
This paper aims to review the slow tourism literature using a bibliometric analysis approach. In the current study parameters such as the annual number of publications, the most contributing countries, the most contributing organizations, the most cited studies in Web of Science (WoS), the most productive authors, and the most productive journals were examined. Furthermore, keywords were used to identify the field structure. VOSviewer software was used to find out the leading trends in this slow tourism literature. Thirty-eight studies were found with the help of the WoS database, over the period from 1975- June 2020. Results indicated that: the literature on slow tourism is growing remarkably; four studies accounted for more than 30 citations; Conwey, D and Timms, B.F were the most prolific authors; in terms of documents, the USA was the leading country in the topic of slow tourism; Indiana University (System and Bloomington Campus) was the most productive institution with a total of 5 papers. The journal, Tourism Recreation Research was the top contributor to the related literature. According to a keywords analysis the most recently studied concepts were related to tourist experiences and place attachments (2018-2020), while the older concepts were linked to alternative tourism and leisure (2014-2016).
本文旨在运用文献计量分析方法对慢旅游文献进行综述。在目前的研究中，考察了年度出版物数量、贡献最大的国家、贡献最大的组织、在Web of Science (WoS)上被引用最多的研究、最多产的作者和最多产的期刊等参数。此外，利用关键词识别字段结构。使用VOSviewer软件来找出这个慢旅游文献的主要趋势。在WoS数据库的帮助下，从1975年到2020年6月，共发现了38项研究。研究结果表明:慢旅游相关文献数量显著增加;4项研究的引用次数超过30次;康维和蒂姆斯是最多产的作家;在文献方面，美国是慢旅游主题的主要国家;印第安纳大学(系统和布卢明顿校区)是最多产的机构，共有5篇论文。《旅游休闲研究》杂志是相关文献的最大贡献者。根据关键词分析，最近研究的概念与旅游体验和地方依恋有关(2018-2020)，而旧的概念与替代旅游和休闲有关(2014-2016)。
{"title":"BIBLIOMETRIC ANALYSIS OF SLOW TOURISM","authors":"Bartola Mavric, Mert Öğretmenoğlu, O. Akova","doi":"10.30519/AHTR.794656","DOIUrl":"https://doi.org/10.30519/AHTR.794656","url":null,"abstract":"This paper aims to review the slow tourism literature using a bibliometric analysis approach. In the current study parameters such as the annual number of publications, the most contributing countries, the most contributing organizations, the most cited studies in Web of Science (WoS), the most productive authors, and the most productive journals were examined. Furthermore, keywords were used to identify the field structure. VOSviewer software was used to find out the leading trends in this slow tourism literature. Thirty-eight studies were found with the help of the WoS database, over the period from 1975- June 2020. Results indicated that: the literature on slow tourism is growing remarkably; four studies accounted for more than 30 citations; Conwey, D and Timms, B.F were the most prolific authors; in terms of documents, the USA was the leading country in the topic of slow tourism; Indiana University (System and Bloomington Campus) was the most productive institution with a total of 5 papers. The journal, Tourism Recreation Research was the top contributor to the related literature. According to a keywords analysis the most recently studied concepts were related to tourist experiences and place attachments (2018-2020), while the older concepts were linked to alternative tourism and leisure (2014-2016).","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"60 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74676803","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}
The growing number of wellness care facilities in India has raised concern over the service quality that is being provided to the tourists. This research targets to explore the dimensions of wellness tourism service quality based on customers’ quality perception. Social media platforms such as Google reviews and hotel review blogs/websites were used to gather 400 public reviews. A Naïve Bayes machine learning Sentiment Analysis approach was used to identify critical areas to improve service delivery, customer relationship, and hospitality management in wellness resorts. Tangibility was identified as the most important dimension followed by empathy, assurance, reliability, and responsiveness. Assurance, empathy, and reliability have the most negative sentiments shared by tourists. Food quality, rooms and accommodation facilities, safety and security, attitude towards customer complaints, the behaviour of the staff, error-free services, and proper training are areas upon which Indian wellness resorts should focus. This study intends to identify additional constructs in future research and build robust models to actively rank the important factors for better customer engagement. Research findings may support managers and policymakers to identify areas of improvement to help them develop the wellness resorts in India. 1 Address correspondence to Dibya Nandan MISHRA, School of Management, National Institute of Technology Rourkela, Rourkela, Odisha, INDIA. E-mail: dibyanandanmishra@gmail.com
{"title":"How Delightful is Indian Wellness Tourism? A Netnographic Study","authors":"D. Mishra, R. Panda","doi":"10.30519/AHTR.784232","DOIUrl":"https://doi.org/10.30519/AHTR.784232","url":null,"abstract":"The growing number of wellness care facilities in India has raised concern over the service quality that is being provided to the tourists. This research targets to explore the dimensions of wellness tourism service quality based on customers’ quality perception. Social media platforms such as Google reviews and hotel review blogs/websites were used to gather 400 public reviews. A Naïve Bayes machine learning Sentiment Analysis approach was used to identify critical areas to improve service delivery, customer relationship, and hospitality management in wellness resorts. Tangibility was identified as the most important dimension followed by empathy, assurance, reliability, and responsiveness. Assurance, empathy, and reliability have the most negative sentiments shared by tourists. Food quality, rooms and accommodation facilities, safety and security, attitude towards customer complaints, the behaviour of the staff, error-free services, and proper training are areas upon which Indian wellness resorts should focus. This study intends to identify additional constructs in future research and build robust models to actively rank the important factors for better customer engagement. Research findings may support managers and policymakers to identify areas of improvement to help them develop the wellness resorts in India. 1 Address correspondence to Dibya Nandan MISHRA, School of Management, National Institute of Technology Rourkela, Rourkela, Odisha, INDIA. E-mail: dibyanandanmishra@gmail.com","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"27 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90493102","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}
The global use of Web 2.0 applications has generated enormous volumes of user content. Drawing on cognitive load theory, this study examines unexplored factors that influence gift purchase intention of tourists. The authors identify localization and realtime information for shaping tourists' gift purchase intention, which is facilitated by reduced cognitive overload. Analyzes of the study relies on a sample of 273 foreign tourists in Malaysia. A cross-sectional quantitative study is conducted using partial least square structural equation modeling. Results showed that location-based user-generated content and real-time information significantly affect gift purchase intention of tourists. Moreover, real-time information partially mediates the relationship between location-based user-generated content and gift purchase intention. 1 Address correspondence to Mustafa R. Khan (Ph.D. Candidate), University Pendidikan Sultan Idris, Malaysia. E-mail: mustafa.r.khan03@gmail.com
Web 2.0应用程序的全球使用已经产生了大量的用户内容。本研究运用认知负荷理论，探讨影响游客礼品购买意愿的未知因素。通过减少认知超载，作者确定了塑造游客礼品购买意愿的本地化和实时信息。对这项研究的分析依赖于273名在马来西亚的外国游客的样本。采用偏最小二乘结构方程模型进行了横断面定量研究。结果表明，基于位置的用户生成内容和实时信息显著影响游客的礼品购买意愿。此外，实时信息部分中介了基于位置的用户生成内容与礼品购买意愿之间的关系。写给马来西亚苏尔坦伊德里斯大学(University Pendidikan Sultan Idris) Mustafa R. Khan(博士候选人)的信件。电子邮件:mustafa.r.khan03@gmail.com
{"title":"THE MEDIATING ROLE OF REAL-TIME INFORMATION BETWEEN LOCATION-BASED USER-GENERATED CONTENT AND TOURIST GIFT PURCHASE INTENTION","authors":"M. Khan, H. Khan, Maya Vachkova, A. Ghouri","doi":"10.30519/AHTR.799716","DOIUrl":"https://doi.org/10.30519/AHTR.799716","url":null,"abstract":"The global use of Web 2.0 applications has generated enormous volumes of user content. Drawing on cognitive load theory, this study examines unexplored factors that influence gift purchase intention of tourists. The authors identify localization and realtime information for shaping tourists' gift purchase intention, which is facilitated by reduced cognitive overload. Analyzes of the study relies on a sample of 273 foreign tourists in Malaysia. A cross-sectional quantitative study is conducted using partial least square structural equation modeling. Results showed that location-based user-generated content and real-time information significantly affect gift purchase intention of tourists. Moreover, real-time information partially mediates the relationship between location-based user-generated content and gift purchase intention. 1 Address correspondence to Mustafa R. Khan (Ph.D. Candidate), University Pendidikan Sultan Idris, Malaysia. E-mail: mustafa.r.khan03@gmail.com","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"58 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76423433","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}
Aydin Erden, Yonca Aslanbay, Beril Durmuş, Murat Çinko
The purpose of this paper is to reveal the impact of a host's facial traits and expressions on their perceived trustworthiness and preferences among users of accommodation-sharing platforms. The eye movements of 39 participants in the study while responding to the question of how much they would want to stay in each apartment presented on a created platform were recorded using an eye-tracking device in a controlled offline setting. A further online questionnaire was used to collect data about user preferences, to which 226 people responded. The results reveal the human face to be the most significant source of cognizance on accommodation sharing platforms; that hosts with positive profile photos are trusted and preferred more than those with less positive images; and that hosts with high fWHRs are trusted and preferred less than hosts with lower fWHRs. This study introduces a novel and broad approach to the tourism and hospitality field, involving a review and analysis of the relationships of different variables recorded in literature, confirming the universality of facial traits and expressions.
{"title":"Trustworthiness of Hosts in Accommodation Sharing: The Effect of Facial Traits and Expressions","authors":"Aydin Erden, Yonca Aslanbay, Beril Durmuş, Murat Çinko","doi":"10.30519/AHTR.765420","DOIUrl":"https://doi.org/10.30519/AHTR.765420","url":null,"abstract":"The purpose of this paper is to reveal the impact of a host's facial traits and expressions on their perceived trustworthiness and preferences among users of accommodation-sharing platforms. The eye movements of 39 participants in the study while responding to the question of how much they would want to stay in each apartment presented on a created platform were recorded using an eye-tracking device in a controlled offline setting. A further online questionnaire was used to collect data about user preferences, to which 226 people responded. The results reveal the human face to be the most significant source of cognizance on accommodation sharing platforms; that hosts with positive profile photos are trusted and preferred more than those with less positive images; and that hosts with high fWHRs are trusted and preferred less than hosts with lower fWHRs. This study introduces a novel and broad approach to the tourism and hospitality field, involving a review and analysis of the relationships of different variables recorded in literature, confirming the universality of facial traits and expressions.","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73002907","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}
N. Alkathiri, A. Elbaz, Iqtidar Ali Shah, Mohammad Soliman
Localization has encountered substantial focus in academia as well as practice; however, scarce studies have empirically examined this theme within tourism-related sectors in Oman, including the aviation sector. That is why the purpose of this paper is to develop and test an integrated model of the key predictors and outcomes of successful localization within the aviation industry. It also evaluates the mediating role of knowledge sharing ability between human resources development (HRD) practices and localization as well as the moderating effect of organizational commitment on the link between localization and firm performance. This paper is based on primary data collected from 194 employees operating in the national aviation sector in Oman. Based on PLS-SEM, the results indicated that HRD practices (i.e., training, performance appraisal, and rewards) have a positive impact on expatriates’ ability to share knowledge with national staff, and thus positively impact the localization success. Additionally, the firm's performance is positively influenced by successful localization. Knowledge sharing does not mediate the link between HRD practices and successful localization, but the results confirmed the interactive impact of organizational commitment on the direct connection between localization and performance. The findings contribute significantly to the research community and provide practical guidelines and managerial implications.
{"title":"Predictors and Outcomes of Successful Localization in the Aviation Industry: The Case of Oman","authors":"N. Alkathiri, A. Elbaz, Iqtidar Ali Shah, Mohammad Soliman","doi":"10.30519/AHTR.814822","DOIUrl":"https://doi.org/10.30519/AHTR.814822","url":null,"abstract":"Localization has encountered substantial focus in academia as well as practice; however, scarce studies have empirically examined this theme within tourism-related sectors in Oman, including the aviation sector. That is why the purpose of this paper is to develop and test an integrated model of the key predictors and outcomes of successful localization within the aviation industry. It also evaluates the mediating role of knowledge sharing ability between human resources development (HRD) practices and localization as well as the moderating effect of organizational commitment on the link between localization and firm performance. This paper is based on primary data collected from 194 employees operating in the national aviation sector in Oman. Based on PLS-SEM, the results indicated that HRD practices (i.e., training, performance appraisal, and rewards) have a positive impact on expatriates’ ability to share knowledge with national staff, and thus positively impact the localization success. Additionally, the firm's performance is positively influenced by successful localization. Knowledge sharing does not mediate the link between HRD practices and successful localization, but the results confirmed the interactive impact of organizational commitment on the direct connection between localization and performance. The findings contribute significantly to the research community and provide practical guidelines and managerial implications.","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91007057","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}
Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life. It has stimulated academia’s interest due to its alternative insights into complex problems. Therefore, a bibliometric method was applied in this study to observe the progress of AI in the tourism field. A total of 102 papers were collected from Scopus database. Key factors such as most productive authors, collaborations and institutions were identified, and research hotspots were determined using co-occurrence network and most common author keywords. Progress of AI was visualized with thematic evolution analysis. Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited. Since this is the first study conducting a bibliometric on AI in the tourism context, it could be considered useful for academics and tourism professionals as it provides general overview of AI, demonstrates research trends and popular papers.
{"title":"Artificial Intelligence in Tourism: A Review and Bibliometrics Research","authors":"İsmail Gökay Kırtıl, Volkan Aşkun","doi":"10.30519/AHTR.801690","DOIUrl":"https://doi.org/10.30519/AHTR.801690","url":null,"abstract":"Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life. It has stimulated academia’s interest due to its alternative insights into complex problems. Therefore, a bibliometric method was applied in this study to observe the progress of AI in the tourism field. A total of 102 papers were collected from Scopus database. Key factors such as most productive authors, collaborations and institutions were identified, and research hotspots were determined using co-occurrence network and most common author keywords. Progress of AI was visualized with thematic evolution analysis. Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited. Since this is the first study conducting a bibliometric on AI in the tourism context, it could be considered useful for academics and tourism professionals as it provides general overview of AI, demonstrates research trends and popular papers.","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"14 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83061817","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：