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De rol van de lowbrow-highbrow dimensie op het verschil in behulpzaamheid tussen utilitaire en hedonistische producten + de introductie van de verwachte gelijkheid met de reviewer
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This book collected studies focused on the management of tourist destinations. Destinations are complex and adaptive systems, where the different elements that make them up have to be oriented towards achieving a common objective that improves the competitiveness of the destination. Five main lines of research on tourist destinations can be established: 1) the management, planning, and marketing of destinations, with special attention to the tourism supply chain, communication, and integral management; 2) the sustainability of resources and capabilities; 3) the renewal of destinations in order to update their offer and main resources to maintain competitiveness; 4) online reputation and communication through social media in order to create and enhance a strong brand image and customer loyalty; and 5) the application of new technologies in order to develop smart destinations. The book is made up of five research studies that focus on analyzing the transition towards a more circular tourist activity in hotels, image as a competitive factor of destinations, the value of cultural creativity, the coherence of online reputation, and the relationship between hotel prices and online reputation in different tourist destinations.
Upper Silesian Conurbation --- post-industrial cities development --- abstract and figurative clues --- rating of online reputation --- price --- hotel sector’s competitiveness --- regional image --- innovation --- lodging --- online reputation --- service quality --- online customer review --- tourism destination --- customer online review --- community manager --- sustainable tourism --- added value --- cultural and creative community --- social media content exploration --- circular economy --- negative stereotypes --- destination image
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Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.
opinion mining --- affect computing --- health insurance --- Twitter --- hybrid vectorization --- violence against women --- word association --- collaborative schemes of sentiment analysis and sentiment systems --- random forest --- cyber-aggression --- deep learning --- online review --- emotion analysis --- lexicon construction --- provider networks --- text mining --- sentiment lexicon --- social media --- sentiment-aware word embedding --- psychographic segmentation --- medical web forum --- gender classification --- racism --- sentiment analysis --- sentiment classification --- sentiment word analysis --- social networks --- convolutional neural network --- review data mining --- machine learning --- emotion classification --- big data-driven marketing --- text feature representation --- recommender system --- user preference prediction --- violence based on sexual orientation --- semantic networks
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Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects.
Medicine --- fever --- FeverApp --- ecological momentary assessment --- user behavior --- sociodemographic characteristics --- registry --- guidelines --- feasibility --- usability --- routine health information system --- health management information system --- health system performance --- machine learning --- digital health --- registry analysis --- ClinicalTrials.gov --- device regulation --- new information technology --- Technology Acceptance Model (TAM) --- institution --- institutionalism --- digital informatics --- human–computer interaction --- personal health informatics --- consumer health data --- consumer health information --- self-tracking --- quantified self --- mHealth apps --- telemonitoring --- telemedicine --- telecardiology --- cardiology --- wearable --- sensors --- consumer health devices --- cardiovascular disease --- heart failure --- atrial fibrillation --- mental health --- psychiatry --- psychiatric record --- psychiatric notes --- patient accessible electronic health record --- PAEHR --- open notes --- policies --- COVID-19 --- technology acceptance --- user survey --- wearable health monitor --- ECG patch --- personal electronic health records --- technology adoption --- endogenous motivations --- health information privacy concern --- mixed-methods --- ePA --- online review helpfulness --- signaling theory --- sentiment analysis --- physician rating websites --- consumer decision-making --- health information technology --- information exchange --- hospital --- market
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Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects.
Medicine --- fever --- FeverApp --- ecological momentary assessment --- user behavior --- sociodemographic characteristics --- registry --- guidelines --- feasibility --- usability --- routine health information system --- health management information system --- health system performance --- machine learning --- digital health --- registry analysis --- ClinicalTrials.gov --- device regulation --- new information technology --- Technology Acceptance Model (TAM) --- institution --- institutionalism --- digital informatics --- human–computer interaction --- personal health informatics --- consumer health data --- consumer health information --- self-tracking --- quantified self --- mHealth apps --- telemonitoring --- telemedicine --- telecardiology --- cardiology --- wearable --- sensors --- consumer health devices --- cardiovascular disease --- heart failure --- atrial fibrillation --- mental health --- psychiatry --- psychiatric record --- psychiatric notes --- patient accessible electronic health record --- PAEHR --- open notes --- policies --- COVID-19 --- technology acceptance --- user survey --- wearable health monitor --- ECG patch --- personal electronic health records --- technology adoption --- endogenous motivations --- health information privacy concern --- mixed-methods --- ePA --- online review helpfulness --- signaling theory --- sentiment analysis --- physician rating websites --- consumer decision-making --- health information technology --- information exchange --- hospital --- market
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Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects.
fever --- FeverApp --- ecological momentary assessment --- user behavior --- sociodemographic characteristics --- registry --- guidelines --- feasibility --- usability --- routine health information system --- health management information system --- health system performance --- machine learning --- digital health --- registry analysis --- ClinicalTrials.gov --- device regulation --- new information technology --- Technology Acceptance Model (TAM) --- institution --- institutionalism --- digital informatics --- human–computer interaction --- personal health informatics --- consumer health data --- consumer health information --- self-tracking --- quantified self --- mHealth apps --- telemonitoring --- telemedicine --- telecardiology --- cardiology --- wearable --- sensors --- consumer health devices --- cardiovascular disease --- heart failure --- atrial fibrillation --- mental health --- psychiatry --- psychiatric record --- psychiatric notes --- patient accessible electronic health record --- PAEHR --- open notes --- policies --- COVID-19 --- technology acceptance --- user survey --- wearable health monitor --- ECG patch --- personal electronic health records --- technology adoption --- endogenous motivations --- health information privacy concern --- mixed-methods --- ePA --- online review helpfulness --- signaling theory --- sentiment analysis --- physician rating websites --- consumer decision-making --- health information technology --- information exchange --- hospital --- market
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The aim of the Special Issue is to discuss the main current topics concerning marketing for sustainable tourism with reference to territories (i.e., tourism destinations, protected areas, parks and/or natural sites, UNESCO World Heritage Sites, rural regions/areas, etc.) and tourism enterprises and/or organisations (i.e., destination management organisations, hospitality enterprises, restaurant enterprises, cableway companies, travel agencies, etc.). In destinations where natural resources are pull factors for tourism development, the relationships among local actors (public, private, and local community), as well as marketing choices, are essential to develop sustainable tourism products. To this end, the Special Issue encourages papers that analyse marketing strategies adopted by tourism destinations and/or tourism enterprises to avoid overtourism, to manage mass sustainable tourism (as defined by Weaver, 2000), and to encourage and promote sustainable tourism in marginal areas or in territories suffering lack of integration in the tourism offer. Special attention will be given to contributions on the best practices to manage territories and/or enterprises adopting sustainable marketing strategies.
business models --- expenditure --- environmental self-efficacy --- n/a --- tourism development --- Lanzarote --- decisive factors --- Chinese tourist --- experience economy --- tourism factory --- ski-resort marketing --- mountain tourism --- biospheric values --- sustainable development of airport --- visitor experience --- tourists’ environmentally responsible behavior --- local attraction --- airport image --- destination offering --- customer satisfaction --- tourist behaviors --- economic sustainability --- micro-scale destination --- tourism demand --- tourism destination image --- multi-attraction travel --- pleasure --- gastronomy --- sustainability --- hot spring --- Mediterranean cruise destinations --- panel threshold regression model --- degree centrality --- tourist intelligence --- destination attribute --- seemingly unrelated regression --- post-industrial tourism --- alternative product development --- personal norm --- social network analysis --- ski resorts --- transit port --- behavioral intention --- ski-resort management --- tourism marketing --- economic growth --- grounded theory --- Seasonality --- responsible tourism --- interpretive structural modeling --- service innovation --- tourism --- disaster-stricken counties --- online review --- audit --- China --- tourism advertisement --- positioning --- destination marketing --- Butler’s Tourism Area Life Cycle --- Wenchuan earthquake --- density --- country brand --- satisfaction --- sustainable tourism --- experiential marketing --- Spain --- The Industrial Monuments Route --- environmental self-identity --- UCG --- port of call --- strategy --- tourists' environmentally responsible behavior --- Butler's Tourism Area Life Cycle
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• The aim of this Special Issue is to examine the current major topics concerning the use of social media and big data in sustainable tourism practices and to encourage interdisciplinary discussion among researchers regarding these issues. • This Special Issue covers all relevant areas of the debate, including 15 selected papers based on the following core ideas: smart tourism and big data, social media in the tourism industry, and online reviews and tourist behaviors. • This Special Issue discusses wide-ranging topics and research questions with regard to the smart tourism city, the impact of social media, online reviews, and tourist behaviors, and it represents a call to action for scholars to engage with broader social issues.
Humanities --- Social interaction --- shared short-term rental --- sustainable tourism --- online reviews --- purchase decisions --- social networks --- social media --- Twitter --- tourism --- volunteered geographic information --- OpenStreetMap --- nighttime light remote sensing --- social media usage characteristics --- Big Five personality traits --- personality characteristics --- social characteristics --- information characteristics --- e-WOM --- trust --- brand equity --- brand awareness --- brand image --- topic modeling --- latent Dirichlet allocation --- tourism 4.0 --- online travel agency --- online review --- text analytics --- improve customer satisfaction --- inductive approach --- dimensions of interest --- era of big data --- cultural consensus --- cultural consonance --- online hotel reviews --- trustworthiness --- technology acceptance model --- Generation Y --- overtourism --- organization-public relationship --- place-visitor relationship --- crowdfunding --- consumption value --- inner innovativeness --- perceived risk --- the intention to visit festival --- oblique photography --- mobile applications --- musicals --- city branding --- SNSs --- orientation --- smart tourism city --- smart tourism --- smart city --- sustainable development --- COVID-19 --- tourist destinations --- destination image --- stakeholders --- rural tourism --- social networking service --- theory of planned behavior --- social media use --- graffiti --- text mining --- social network analysis --- travel reality variety program --- viewing motivation --- viewing satisfaction --- presence --- attitude toward tourism destination --- spatial variance --- multiscale GWR --- sharing economy --- Airbnb
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• The aim of this Special Issue is to examine the current major topics concerning the use of social media and big data in sustainable tourism practices and to encourage interdisciplinary discussion among researchers regarding these issues. • This Special Issue covers all relevant areas of the debate, including 15 selected papers based on the following core ideas: smart tourism and big data, social media in the tourism industry, and online reviews and tourist behaviors. • This Special Issue discusses wide-ranging topics and research questions with regard to the smart tourism city, the impact of social media, online reviews, and tourist behaviors, and it represents a call to action for scholars to engage with broader social issues.
Humanities --- Social interaction --- shared short-term rental --- sustainable tourism --- online reviews --- purchase decisions --- social networks --- social media --- Twitter --- tourism --- volunteered geographic information --- OpenStreetMap --- nighttime light remote sensing --- social media usage characteristics --- Big Five personality traits --- personality characteristics --- social characteristics --- information characteristics --- e-WOM --- trust --- brand equity --- brand awareness --- brand image --- topic modeling --- latent Dirichlet allocation --- tourism 4.0 --- online travel agency --- online review --- text analytics --- improve customer satisfaction --- inductive approach --- dimensions of interest --- era of big data --- cultural consensus --- cultural consonance --- online hotel reviews --- trustworthiness --- technology acceptance model --- Generation Y --- overtourism --- organization-public relationship --- place-visitor relationship --- crowdfunding --- consumption value --- inner innovativeness --- perceived risk --- the intention to visit festival --- oblique photography --- mobile applications --- musicals --- city branding --- SNSs --- orientation --- smart tourism city --- smart tourism --- smart city --- sustainable development --- COVID-19 --- tourist destinations --- destination image --- stakeholders --- rural tourism --- social networking service --- theory of planned behavior --- social media use --- graffiti --- text mining --- social network analysis --- travel reality variety program --- viewing motivation --- viewing satisfaction --- presence --- attitude toward tourism destination --- spatial variance --- multiscale GWR --- sharing economy --- Airbnb
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• The aim of this Special Issue is to examine the current major topics concerning the use of social media and big data in sustainable tourism practices and to encourage interdisciplinary discussion among researchers regarding these issues. • This Special Issue covers all relevant areas of the debate, including 15 selected papers based on the following core ideas: smart tourism and big data, social media in the tourism industry, and online reviews and tourist behaviors. • This Special Issue discusses wide-ranging topics and research questions with regard to the smart tourism city, the impact of social media, online reviews, and tourist behaviors, and it represents a call to action for scholars to engage with broader social issues.
shared short-term rental --- sustainable tourism --- online reviews --- purchase decisions --- social networks --- social media --- Twitter --- tourism --- volunteered geographic information --- OpenStreetMap --- nighttime light remote sensing --- social media usage characteristics --- Big Five personality traits --- personality characteristics --- social characteristics --- information characteristics --- e-WOM --- trust --- brand equity --- brand awareness --- brand image --- topic modeling --- latent Dirichlet allocation --- tourism 4.0 --- online travel agency --- online review --- text analytics --- improve customer satisfaction --- inductive approach --- dimensions of interest --- era of big data --- cultural consensus --- cultural consonance --- online hotel reviews --- trustworthiness --- technology acceptance model --- Generation Y --- overtourism --- organization-public relationship --- place-visitor relationship --- crowdfunding --- consumption value --- inner innovativeness --- perceived risk --- the intention to visit festival --- oblique photography --- mobile applications --- musicals --- city branding --- SNSs --- orientation --- smart tourism city --- smart tourism --- smart city --- sustainable development --- COVID-19 --- tourist destinations --- destination image --- stakeholders --- rural tourism --- social networking service --- theory of planned behavior --- social media use --- graffiti --- text mining --- social network analysis --- travel reality variety program --- viewing motivation --- viewing satisfaction --- presence --- attitude toward tourism destination --- spatial variance --- multiscale GWR --- sharing economy --- Airbnb
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