Pub Date : 2022-05-05DOI: 10.1108/jtf-06-2021-0157
Konstantinos Solakis, V. Katsoni, A. Mahmoud, Nicholas Grigoriou
PurposeThis is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.Design/methodology/approachThe study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.FindingsThis paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.Research limitations/implicationsThe results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.Originality/valueFew studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.
{"title":"Factors affecting value co-creation through artificial intelligence in tourism: a general literature review","authors":"Konstantinos Solakis, V. Katsoni, A. Mahmoud, Nicholas Grigoriou","doi":"10.1108/jtf-06-2021-0157","DOIUrl":"https://doi.org/10.1108/jtf-06-2021-0157","url":null,"abstract":"PurposeThis is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.Design/methodology/approachThe study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.FindingsThis paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.Research limitations/implicationsThe results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.Originality/valueFew studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42619461","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 : 2022-04-22DOI: 10.1108/jtf-12-2021-0264
Stanislav Ivanov, C. Webster
PurposeThe hospitality industry in developed countries is under pressure due to labor shortages and it is likely more food and beverage operations will have to be automated in the future. This research investigates the public’s perceptions of the use of robots in food and beverage operations to learn about how the public perceives automation in food and beverage.Design/methodology/approachData were collected from a survey disseminated online in 12 languages, resulting in a sample of 1,579 respondents. The data were analyzed using factor analysis and OLS regressions.FindingsThe data also reveal that generally positive attitudes toward the use of robots in tourism and hospitality is a strong indicator of positive attitudes toward the use of robots in an F&B setting. The data also illustrate that the public’s perception of appropriateness of the use of robots in F&B operations is positively related to robots’ perceived reliability, functionality and advantages compared to human employees.Research limitations/implicationsThe implications illustrate that the public seems to be generally accepting robots in food and beverage operations, even considering the public’s understanding and acceptance of the limitations of such technologies.Practical implicationsThe research suggests that a critical element in terms of incorporating automation into future food and beverage operations is encouraging consumers to have generally positive attitudes toward the use of robots in hospitality and tourism industries.Originality/valueThis survey is based upon the data gathered in multiple countries to learn about how individuals perceive the use of robots in food and beverage operations, illustrating the attitudes that will assist or hinder the automation of this service industry.
{"title":"Restaurants and robots: public preferences for robot food and beverage services","authors":"Stanislav Ivanov, C. Webster","doi":"10.1108/jtf-12-2021-0264","DOIUrl":"https://doi.org/10.1108/jtf-12-2021-0264","url":null,"abstract":"PurposeThe hospitality industry in developed countries is under pressure due to labor shortages and it is likely more food and beverage operations will have to be automated in the future. This research investigates the public’s perceptions of the use of robots in food and beverage operations to learn about how the public perceives automation in food and beverage.Design/methodology/approachData were collected from a survey disseminated online in 12 languages, resulting in a sample of 1,579 respondents. The data were analyzed using factor analysis and OLS regressions.FindingsThe data also reveal that generally positive attitudes toward the use of robots in tourism and hospitality is a strong indicator of positive attitudes toward the use of robots in an F&B setting. The data also illustrate that the public’s perception of appropriateness of the use of robots in F&B operations is positively related to robots’ perceived reliability, functionality and advantages compared to human employees.Research limitations/implicationsThe implications illustrate that the public seems to be generally accepting robots in food and beverage operations, even considering the public’s understanding and acceptance of the limitations of such technologies.Practical implicationsThe research suggests that a critical element in terms of incorporating automation into future food and beverage operations is encouraging consumers to have generally positive attitudes toward the use of robots in hospitality and tourism industries.Originality/valueThis survey is based upon the data gathered in multiple countries to learn about how individuals perceive the use of robots in food and beverage operations, illustrating the attitudes that will assist or hinder the automation of this service industry.","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42672903","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 : 2022-04-22DOI: 10.1108/jtf-03-2021-0082
I. Yeoman, H. Schänzel, Elisa Zentveld
PurposeThe COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand. The paper aims to assess how consumer behaviour trends changed using a trends analysis framework.Design/methodology/approachPositioning the paper in the prognosis–prediction paradigm from futures studies and using a trend analysis approach, the authors forecasted a series of tourist trends at the beginning of COVID-19 based upon a multitude of sources trends. Then, 12 months later, they reported on the accuracy of these forecasts.FindingsThe matrix identifies 15 trends based upon consumer behaviour changes, which are either dominant, slowed, advanced or arrested. The prognosis was largely correct, which was supported by evidence gathered 12 months later.Research limitations/implicationsThe paper uses a series of different data sources to reflect on the initial forecasts. To some, this may be an issue of rigor, but the authors argue that through triangulation, credibility and validity are increased.Originality/valueFirst, the evaluation matrix allows users to make sense of COVID-19 based upon the concepts of dominant, slowed, advanced or arrested trends. Second, the matrix allows users to evaluate changes and movement of trends. Third, the trends featured in this paper could be generalisable to several different circumstances associated with simple identity. Fourth, this paper has tested the ability to predict trends in an uncertain environment within the context of the ontological paradigm of prognosis and prediction of futures states.
{"title":"Tourist behaviour in a COVID-19 world: a New Zealand perspective","authors":"I. Yeoman, H. Schänzel, Elisa Zentveld","doi":"10.1108/jtf-03-2021-0082","DOIUrl":"https://doi.org/10.1108/jtf-03-2021-0082","url":null,"abstract":"PurposeThe COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand. The paper aims to assess how consumer behaviour trends changed using a trends analysis framework.Design/methodology/approachPositioning the paper in the prognosis–prediction paradigm from futures studies and using a trend analysis approach, the authors forecasted a series of tourist trends at the beginning of COVID-19 based upon a multitude of sources trends. Then, 12 months later, they reported on the accuracy of these forecasts.FindingsThe matrix identifies 15 trends based upon consumer behaviour changes, which are either dominant, slowed, advanced or arrested. The prognosis was largely correct, which was supported by evidence gathered 12 months later.Research limitations/implicationsThe paper uses a series of different data sources to reflect on the initial forecasts. To some, this may be an issue of rigor, but the authors argue that through triangulation, credibility and validity are increased.Originality/valueFirst, the evaluation matrix allows users to make sense of COVID-19 based upon the concepts of dominant, slowed, advanced or arrested trends. Second, the matrix allows users to evaluate changes and movement of trends. Third, the trends featured in this paper could be generalisable to several different circumstances associated with simple identity. Fourth, this paper has tested the ability to predict trends in an uncertain environment within the context of the ontological paradigm of prognosis and prediction of futures states.","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42349191","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 : 2022-04-22DOI: 10.1108/jtf-05-2021-0122
Sumana Laparojkit, M. Suttipun
PurposeThis study aims to examine the causal factors of customer motivation, trust and loyalty, influencing the level of repurchase intentions of local tourists travelling during pandemic COVID-19 crisis in Thailand.Design/methodology/approachThe population of this study comprised all Thai local tourists travelling in Thailand. Using simple random sampling of local tourists on travel in Thailand, quantitative data were collected from 500 tourists as the sampling, representing Northern Thailand, North-Eastern Thailand, Central Thailand, Southern Thailand and Bangkok. Path analysis, including correlation matrix and factor confirmation, was used to test the causal factors influencing the level of repurchase intentions.FindingsMotivation trust, customer trust, customer loyalty and repurchase intentions of Thai domestic tourism were on a high level. In addition, there were positive influences of customer motivation, trust and loyalty on the level of repurchase intentions by local tourists travelling in Thailand.Originality/valueThe study results demonstrate that the social exchange theory can be used to explain the influences of customer motivation, customer trust and loyalty on repurchase intentions of domestic Thai tourism.
{"title":"The causal factors influencing repurchase intentions of local tourists in Thailand during COVID-19 crisis","authors":"Sumana Laparojkit, M. Suttipun","doi":"10.1108/jtf-05-2021-0122","DOIUrl":"https://doi.org/10.1108/jtf-05-2021-0122","url":null,"abstract":"PurposeThis study aims to examine the causal factors of customer motivation, trust and loyalty, influencing the level of repurchase intentions of local tourists travelling during pandemic COVID-19 crisis in Thailand.Design/methodology/approachThe population of this study comprised all Thai local tourists travelling in Thailand. Using simple random sampling of local tourists on travel in Thailand, quantitative data were collected from 500 tourists as the sampling, representing Northern Thailand, North-Eastern Thailand, Central Thailand, Southern Thailand and Bangkok. Path analysis, including correlation matrix and factor confirmation, was used to test the causal factors influencing the level of repurchase intentions.FindingsMotivation trust, customer trust, customer loyalty and repurchase intentions of Thai domestic tourism were on a high level. In addition, there were positive influences of customer motivation, trust and loyalty on the level of repurchase intentions by local tourists travelling in Thailand.Originality/valueThe study results demonstrate that the social exchange theory can be used to explain the influences of customer motivation, customer trust and loyalty on repurchase intentions of domestic Thai tourism.","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47017736","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}
PurposeCoastal cities offer great ecological, cultural and economic benefits due to their tourism potential. The objective of this research is to (1) identify tourists' post-pandemic motivations, (2) establish a post-pandemic demand segmentation and (3) determine the relationship between post-pandemic segments and loyalty.Design/methodology/approachThis study was carried out in Lima, Peru, a tourist destination on the Pacific Ocean coast. The sample was collected between June and July 2020, during the coronavirus disease 2019 (COVID-19) pandemic. In total, 354 valid questionnaires represented the sample size of this quantitative study. For data analysis, factor analysis and K-means non-hierarchical clustering were used.FindingsThe results show four post-pandemic motivational dimensions in coastal cities: “novelty and escape,” “learning and culture,” “destination safety” and “service safety.” Likewise, there are two post-pandemic segments in coastal cities: “safety seekers” who want to feel safe at the destination and with its services, and “multiple motives,” motivated by several reasons simultaneously, such as safety, novelty and escape, and learning and culture. The multiple motives group shows higher return intentions, making it a crucial post-pandemic segment in coastal cities.Research limitations/implicationsThe limitations of the present study were the online sampling and the timing when collecting the data since the demand can vary due to seasonal reasons.Practical implicationsSince coastal cities have natural and cultural attractions appealing to many travelers, they should adopt the necessary biosecurity measures to attract the safety seekers’ segment, who wants to feel safe at the destination and with its services. Similarly, the multiple motives’ segment favors safety over other recreational activities in the coastal area, so it is necessary that activities such as sports on the beach, walks, observation of flora and fauna, navigation and interaction with the community, meet the required biosecurity standards.Social implicationsThe results will be used to plan the following actions in coastal destinations and meet the tourists’ demands when this health crisis ends.Originality/valueIn this context, up to date, demand segmentation by motivations in coastal cities during the COVID-19 pandemic has not been investigated. Such a study will help to obtain post-pandemic results regarding the tourism demand for these destinations. To date, there are no studies in coastal cities that analyze demand segmentation and its motivations for the post-COVID-2019 pandemic.
{"title":"Post-COVID-19 pandemic motivations and segmentation in coastal cities: a study in Lima, Peru","authors":"Mauricio Carvache-Franco, Aldo Alvarez-Risco, Wilmer Carvache-Franco, Orly Carvache-Franco, Shyla Del-Aguila-Arcentales","doi":"10.1108/jtf-09-2021-0219","DOIUrl":"https://doi.org/10.1108/jtf-09-2021-0219","url":null,"abstract":"PurposeCoastal cities offer great ecological, cultural and economic benefits due to their tourism potential. The objective of this research is to (1) identify tourists' post-pandemic motivations, (2) establish a post-pandemic demand segmentation and (3) determine the relationship between post-pandemic segments and loyalty.Design/methodology/approachThis study was carried out in Lima, Peru, a tourist destination on the Pacific Ocean coast. The sample was collected between June and July 2020, during the coronavirus disease 2019 (COVID-19) pandemic. In total, 354 valid questionnaires represented the sample size of this quantitative study. For data analysis, factor analysis and K-means non-hierarchical clustering were used.FindingsThe results show four post-pandemic motivational dimensions in coastal cities: “novelty and escape,” “learning and culture,” “destination safety” and “service safety.” Likewise, there are two post-pandemic segments in coastal cities: “safety seekers” who want to feel safe at the destination and with its services, and “multiple motives,” motivated by several reasons simultaneously, such as safety, novelty and escape, and learning and culture. The multiple motives group shows higher return intentions, making it a crucial post-pandemic segment in coastal cities.Research limitations/implicationsThe limitations of the present study were the online sampling and the timing when collecting the data since the demand can vary due to seasonal reasons.Practical implicationsSince coastal cities have natural and cultural attractions appealing to many travelers, they should adopt the necessary biosecurity measures to attract the safety seekers’ segment, who wants to feel safe at the destination and with its services. Similarly, the multiple motives’ segment favors safety over other recreational activities in the coastal area, so it is necessary that activities such as sports on the beach, walks, observation of flora and fauna, navigation and interaction with the community, meet the required biosecurity standards.Social implicationsThe results will be used to plan the following actions in coastal destinations and meet the tourists’ demands when this health crisis ends.Originality/valueIn this context, up to date, demand segmentation by motivations in coastal cities during the COVID-19 pandemic has not been investigated. Such a study will help to obtain post-pandemic results regarding the tourism demand for these destinations. To date, there are no studies in coastal cities that analyze demand segmentation and its motivations for the post-COVID-2019 pandemic.","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48649896","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 : 2022-04-11DOI: 10.1108/jtf-05-2021-0130
Ümit Şengel, G. Genç, Merve Işkın, Mustafa Çevrimkaya, Ioannis Assiouras, Burhanettin Zengin, M. Sariişik, Dimitrios Buhalis
PurposeThe COVID-19 pandemic, which appeared in China in late 2019, has affected the world psychologically, socially and economically in 2020. Tourism is one of the areas where the effects of COVID-19 have been felt most clearly. The study aims to determine the effect of negative problem orientation (NPO) and perceived risk related to the COVID-19 pandemic on travel and destination visit intention.Design/methodology/approachThis study employed a convenience and probabilistic sampling method for collecting data from 531 respondents using an online questionnaire. Partial least square structural equation modeling (PLS-SEM) was used for testing research model.FindingsAccording to the findings, NPO and perceived risk related to the pandemic were found to have direct and indirect effects on the travel behavior of tourists. The results of this research provide theoretical and practical implications for hospitality and travel businesses on topics such as the psychological effects of the pandemic and the travel behaviors of tourists.Originality/valueIt is estimated that the pandemic will also affect tourist behavior due to its effects on human psychology. For this reason, a study conducted in the context of tourist behavior theories is expected to contribute to the literature, managers and future of the tourism.
{"title":"The impacts of negative problem orientation on perceived risk and travel intention in the context of COVID-19: a PLS-SEM approach","authors":"Ümit Şengel, G. Genç, Merve Işkın, Mustafa Çevrimkaya, Ioannis Assiouras, Burhanettin Zengin, M. Sariişik, Dimitrios Buhalis","doi":"10.1108/jtf-05-2021-0130","DOIUrl":"https://doi.org/10.1108/jtf-05-2021-0130","url":null,"abstract":"PurposeThe COVID-19 pandemic, which appeared in China in late 2019, has affected the world psychologically, socially and economically in 2020. Tourism is one of the areas where the effects of COVID-19 have been felt most clearly. The study aims to determine the effect of negative problem orientation (NPO) and perceived risk related to the COVID-19 pandemic on travel and destination visit intention.Design/methodology/approachThis study employed a convenience and probabilistic sampling method for collecting data from 531 respondents using an online questionnaire. Partial least square structural equation modeling (PLS-SEM) was used for testing research model.FindingsAccording to the findings, NPO and perceived risk related to the pandemic were found to have direct and indirect effects on the travel behavior of tourists. The results of this research provide theoretical and practical implications for hospitality and travel businesses on topics such as the psychological effects of the pandemic and the travel behaviors of tourists.Originality/valueIt is estimated that the pandemic will also affect tourist behavior due to its effects on human psychology. For this reason, a study conducted in the context of tourist behavior theories is expected to contribute to the literature, managers and future of the tourism.","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47312620","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}
{"title":"Editorial: Q. What can we learn from Sunderland AFC about the future of tourism? A. Absolutely everything.","authors":"I. Yeoman","doi":"10.1108/jtf-03-2022-240","DOIUrl":"https://doi.org/10.1108/jtf-03-2022-240","url":null,"abstract":"","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46932658","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}
{"title":"Book review – The Good Ancestor: How to Think Long Term in a Short-Term World","authors":"R. Logan","doi":"10.1108/jtf-03-2022-245","DOIUrl":"https://doi.org/10.1108/jtf-03-2022-245","url":null,"abstract":"","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47954851","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}
{"title":"Book review – Sustainable Space Tourism: An Introduction","authors":"Stanislav Ivanov","doi":"10.1108/jtf-03-2022-241","DOIUrl":"https://doi.org/10.1108/jtf-03-2022-241","url":null,"abstract":"","PeriodicalId":45881,"journal":{"name":"Journal of Tourism Futures","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43876541","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}
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