bluuebunny/crossref_metadata_2025_split huggingface dataset:
How Reliable Is Social Media Data? Validation of TripAdvisor Tourism Visitations Using Independent Data Sources
Authors: Ma Shihan , Kirilenko Andrei 
Published: January 2021

AbstractSocial media data has been rapidly applied as alternative data source for tourism statistics and measurement in recent years due to its availability, easy collection, good spatial coverage at multiple scales, and rich content. However, frequent criticism towards the social media is the bias towards the population of social media users leading to unknown representativeness of the entire population. The purpose of this study is to cross-validate the reliability and validity of visitation pattern of tourist destinations retrieved from the social media using alternative independent data sources. The primary social media data is TripAdvisor reviews of Florida attraction points, restaurants, and hotels. The inferred visitation pattern was validated against two independent datasets: cellphone tracking data and official visitor surveys. The validity was explored in tourist origins, destinations, and travel flows. Repetitively, travel patterns inferred from the social media were found strongly correlated to those from cellphone tracking and surveys. The visitation data obtained from social media was concluded to be reliable and representative.
The Impact of Crisis Characteristics and Media Coverage on the Public’s Attitude Toward Tourism Organization Expressed on Sina Weibo
Authors: Su Lijuan , Stepchenkova Svetlana 
Published: January 2021

AbstractTourism and hospitality crises that are extensively discussed online are damaging to organizational image and reputation; therefore, choosing effective response strategies is of paramount importance for service providers. The online discussions data from six hospitality and tourism related crises were used to test which crisis and media coverage characteristics significantly affected the public’s emotional and behavioral reactions to crises. With reference to the attribution theory and the situational crisis communication theory, this study identified the potentially influential crisis characteristics, hypothesized their relationship with variables describing consumer reactions to crises, and then tested those relationships in a series of ANOVA and hierarchical regression analyses. Results indicated that the locus of control, crisis stability, attribution of organizational responsibility, and organizational response strategy affected the public’s cognitive and emotional responses to crises most strongly. The attractiveness and goodwill of media sources also had an effect, as well as the quality and fairness of messages. This study makes a methodological contribution to tourism research by training machine-learning classifiers prior to conducting hypothesis testing. Identifying the most influential factors affecting the public’s response to crises can serve as guidelines for tourism and hospitality organizations in monitoring the spread of online crisis discussions and developing the most appropriate response in order to minimize consumers’ negative emotions that affect online and off-line behavior toward the organization and its brand.
HOTFRED: A Flexible Hotel Fake Review Detection System
Authors: Möhring Michael , Keller Barbara , Schmidt Rainer , Gutmann Matthias , Dacko Scott 
Published: January 2021

AbstractThe importance to cope with online fake reviews in Tourism becomes more and more evident. In the hotel sector hoteliers as well as guests often struggle with the challenges to separate true and fake reviews from each other. Therefore, our research introduces HOTFRED - a flexible hotel fake review detection system - as part of an on-going research project. By combining different analytical approaches, the HOTFRED system indicates via an aggregated probability whether a review is true or fake. As the evaluation of the prototypical implementation showed, this approach can support to detect fake reviews. Many different stakeholders in the Tourism sector can profit from this automatic tool. Thus, hoteliers can take measures to safe their reputation, guests can benefit in their decision-making process and research might use the tool as an initial starting point for future research in the area of fake information.
Meme Tourism: A Conceptual Framework
Authors: Yhee Yerin , Goo Jahyun , Koo Chulmo 
Published: January 2021

AbstractWith advances in technology affordances, contents generated by individual tourists in the tourism context has become an influential source of tourism information besides contents channeled by traditional mass media such as newspapers and broadcasts. Specifically, Meme Tourism (i.e., meme phenomenon in tourism) becomes one of the biggest trends in imitating and transforming/evolving tourism contents online, which is a byproduct of participatory culture that use text and visual images as means of user-generated communications in online communities through the exchange, distribution, and transactions. Understanding the emerging phenomena of meme in tourism would provide insights on tourists’ desires and behaviors in modern traveling. This study conceptualizes three major perspectives in tourism; 1) media-induced tourism, 2) user-generated content, and 3) social media activities, reflecting meme phenomena in tourism. Given the foundation provided, this study calls for a new stream of study in tourism that examines desire, motivation, and behavior of tourists in technology-enabled modern travel culture.
Next-POI Recommendations Matching User’s Visit Behaviour
Authors: Massimo David , Ricci Francesco 
Published: January 2021

AbstractWe consider the urban tourism scenario, which is characterized by limited availability of information about individuals’ past behaviour. Our system goal is to identify relevant next Points of Interest (POIs) recommendations. We propose a technique that addresses the domain requirements by using clusters of users’ visits trajectories that show similar visit behaviour. Previous analysis clustered visit trajectories by aggregating trajectories that contain similar POIs. We compare our approach with a next-item recommendation state-of-the-art Neighbour-based model. The results show that customizing recommendations for clusters of users’ with similar behaviour yields superior performance on different quality dimensions of the recommendation.
Discovering Cultural Differences Through Information Flow of National DMOs Websites
Authors: Park Hyejin , Stepchenkova Svetlana 
Published: January 2021

AbstractThe purpose of the study is to investigate whether cultural differences are reflected in how destinations present themselves online by performing hyperlink network analysis of their official DMOs websites. The study examines whether variance in online presentation can be explained using well established theories on culture. To this end, hyperlink data were collected from three official tourism websites: Korea Tourism Organization (KTO) of South Korea, Brand USA of United States, and German National Tourist Board (GNTB) of Germany. The results show that the three hyperlink networks exhibit differences in size and structural properties. The information network of KTO tends to reflect collectivism, while those of Brand USA and GNTB reflect individualism. Blockmodeling analysis provides the grounds for further statistical approach.
A Conceptual Framework of Destination Sustainability in Sharing Economy
Authors: Zhang Huiying , Leung Xi Yu , Bai Billy 
Published: January 2021

AbstractThe introduction of the sharing economy has revolutionized resident-tourist relationships and provides further implications of destination sustainability. Built on several well-established theories, this conceptual study intends to develop a new and holistic framework to examine destination sustainability, focusing on the change of resident-tourist relationships. The framework is first guided by the stakeholder theory to identify the four key stakeholders in the new sharing economy context: residents, tourists, governments, and the sharing economy platform. With the collaboration theory and resource theory as a foundation, the framework then describes each stakeholder’s specific needs and resources. The service-dominant logic further supports service exchanges and value co-creation among stakeholders. The framework then adopts the capital theory approach to conceptualize destination sustainability in terms of human, social, natural and manufactured capital. Finally, three propositions are developed to justify the new peer-to-peer collaboration paradigm that leads to destination sustainability. The proposed framework is aligned with the six-pillar transformation in e-Tourism research and serves as an intelligent solution to destination sustainable development in the sharing economy context.
The Sustainability of Using Domestic Tourism as a Post-COVID-19 Recovery Strategy in a Distressed Destination
Authors: Woyo Erisher 
Published: January 2021

AbstractTourism is a critical contributor to the gross domestic product, especially among developing countries like Zimbabwe. Zimbabwe is a tourist destination that relies more on international travellers, a market which has been affected by the novel coronavirus. The purpose of this study is to establish the perceptions of domestic travellers and tourism managers on the sustainability of using domestic tourism as strategic responses to the impacts of the coronavirus. This study employs a qualitative methodology to examine the perceptions of the demand and supply side regarding the recovery options for Zimbabwean tourism post-pandemic. Online interviews with demand and supply participants were conducted. Data were analysed using thematic analysis, and the results were discussed. Results show that domestic tourism as a recovery option is unstainable due to the challenges that Zimbabwe is facing, beyond the coronavirus.
Destination Management in Times of Crisis - Potentials of Open Innovation Approach in the Context of COVID-19?
Authors: Pillmayer Markus , Scherle Nicolai , Volchek Katerina 
Published: January 2021

AbstractThe COVID-19 pandemic has led the tourist industry to a standstill. It also creates the potential to change both the global tourism industry and the context in which innovation management takes place in the medium to long term. The web-based open innovation approach provides one of the possibilities to uncover technical opportunities in the context of rapidly changing environment. This article takes a qualitative approach to explore the benefits of open innovation approach for destination management organizations (DMOs). The analysis of 15 semi-structured interviews reveals nine specific benefits that arise from the three types of open innovation. The findings deepen an understanding of the potential that the open innovation approach offers for DMOs. The study further creates a background to collaborative tourist recovery COVID-19 pandemic through smart destination ecosystems.
How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
Authors: Wang Junyi , Zhai Xueting , Luo Qiuju 
Published: January 2021

AbstractThe outbreak of the COVID-19 pandemic has a multi-faceted impact on the mobility of travelers. Current research has not yet explained the internal mechanisms of travelers’ mobility changes during the pandemic. The Bayesian network is considered to be an effective method to describe the causality between the factors and output of a system. Thus, this paper established a Bayesian network model to analyze the impact of COVID-19 on Chinese travelers’ mobility decision–making processes. The model for the traveler mobility decision-making process is built on both a qualitative and quantitative analysis of travelers’ self-narration articles. Results show that official information, traffic information, family structure, and social interaction networks are the key factors affecting Chinese travelers’ mobility.
Technostress Among Hotel Employees - a Longitudinal Study of Social Media as Digital Service Encounters
Authors: Högberg Karin 
Published: January 2021

AbstractThe increasing implementation of digital technologies in organizations such as social media platforms is fundamentally transforming the nature of services encounters [1, 2], not least in the hospitality industry. This causes new ways of working for hotel employees, causing disruption in service routines and work tasks. There are few qualitative studies that are focusing on the hospitality industry and technostress. The present study focus on technostress among employees in an international hotel chain. Data have been collected in eight European countries over a period of seven years. The Person-Technology fit model is used in order to identify and analyze stressors and strains deriving from social media use. The results indicate that techno stressors such as work overload, work-life conflict, and changing algorithms creates negative stressors. The study makes a theoretical contribution to technostress research in the Information Systems research as well as the hospitality research field by uncovering negative stressors and strains created over time.
Innovation Platform for Catalyzing Access to Seed of Improved Legume Varieties to Smallholder Farmers
Authors: Akpo Essegbemon , Ojiewo Chris O. , Kapran Issoufou , Omoigui Lucky O. , Diama Agathe , Varshney Rajeev K. 
Published: January 2021

AbstractInnovation platform resolves systemic problems and unlock opportunities for farmers and other stakeholders along commodity value chains. It brokers change in a wide variety of areas involving technological barriers for increased on-farm genetic gains, financial services and privileges for smooth running of seed business and other farming activities, social change and gender equality in society, new commodity market opportunities, increased interactions between stakeholders, e-services for increased crop productivity and production, sustainability of seed production and delivery systems through a variety of stakeholders for various seed classes.
An Analysis of Groundnut Innovation Platform Achievements in Brokering Improved Varieties to Communities in TL III Project in Burkina Faso
Authors: Miningou Amos , Traoré Appolinaire S. , Akpo Essegbemon , Kapran Issoufou , Zagré Bertin M. , Diasso Gabriel A. , Kienthéga Yamba , Zoungrana Apolinaire 
Published: January 2021

AbstractAccess to seeds of improved groundnut varieties is the most critical problem of farmers in Burkina Faso. Firstly, majority do not know the existence of improved varieties and secondly the price is not affordable to them. Based on the above, the INERA groundnut breeders’ team established four innovation platforms on groundnut in the Region of Centre-East, Region of Centre-North, Region of Centre-West and Region de la Boucle of Mouhoun. Through these platforms, Quality Declared Seeds (QDS) were produced for the first time in Burkina Faso in 2016 with support from the Tropical Legumes phase III (TL III) project. Since then, QDS and certified seeds are produced and sold to the local communities at affordable small packs in order to make improved seeds accessible to the poor farmers. So far about 10,000 persons have been reached with small packs. Farmers, agricultural extension and NGO staff have been trained in groundnut seed production, demonstrations, field days and Farmer Participatory Variety Selection (FPVS) to promote the improved varieties and the best agronomic practices. Farmers’ yields increased from 500–700 kg/ha to 1200–1500 kg/ha increasing women and youth incomes from 200 USD to 800 USD/year only for those who grow groundnut during the rainy season. Those who grow during rainy and off-seasons their incomes can reach 1200–1500 USD. Links with financial institutions have facilitated access to credit for these farmers. In the future, the Platform sustainability will be assured through members’ annual financial contributions and strong production contracts among traders, processors and farmers.
Enhancing Chickpea Production and Productivity Through Stakeholders’ Innovation Platform Approach in Ethiopia
Authors: Chichaybelu Mekasha , Girma Nigusie , Fikre Asnake , Gemechu Bekele , Mekuriaw Tiruaynet , Geleta Tesfaye , Chiche Wubishet , Rubyogo Jean-Claude , Akpo Essegbemon , Ojiewo Chris O. 
Published: January 2021

AbstractChickpea (Cicer arietinum L.) is the third important food legume both in area and production after common beans and faba beans in Ethiopia. However, the productivity of the crop was very low compared to the potential as a result of non-use of improved varieties and technologies generated by the research system. To enhance the use of the improved and associated research technologies a National Chickpea Stakeholders Innovation Platform was established in 2013 with the objective of bringing together various stakeholders acting on the value chain in order to identify major challenges and find solutions that would be implemented through synergetic efforts. The platform identified seed shortage as a major bottleneck in the sector. This issue has been addressed through establishing farmers’ seed producer associations with the help of R&D partners and currently they are the major suppliers nationwide. Side by side, the platform strengthened the extension effort and triggered dissemination of improved technologies to a large number of farmers. As a result, productivity of the crop by model farmers increased by fourfold and the national productivity has been doubled to 2 ton ha−1 in the last decade. The platform also worked on improving access to market and recently chickpea joined the Ethiopian Commodity Exchange market. Cognizant of the huge development potential of the crop, the platform is striving to further strengthen the intervention and reap opportunities.
Science and Technology Commitment to the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030
Authors: Murray Virginia 
Published: January 2021

AbstractThe Sendai Framework for Disaster Risk Reduction 2015–2030 was adopted by United Nations (UN) member states on 18 March 2015, at the World Conference on Disaster Risk Reduction held in Japan. The Sendai Framework went on to be endorsed by the UN General Assembly in June 2015. The Sendai Framework is wide in scope. This paper uses many resources of already published material to enable the reader to access a more complete summary of the science and technology commitment to the implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030. In this paper on the role of science and technology engagement to provide evidence to inform policy and practice where possible, the author considered it important to emphasis the partnerships and learning she has been a part of and all significant statements that are included in this paper are in italicized quotes. The author is grateful for the many opportunities to engage at many levels with colleagues who also contributed so much to these opportunities for joint working and shared learning.
An alternative method for extracting the von Neumann entropy from Rényi entropies
Authors: D’Hoker Eric , Dong Xi , Wu Chih-Hung 
Published: January 2021

Abstract
An alternative method is presented for extracting the von Neumann entropy − Tr(ρ ln ρ) from Tr(ρn) for integer n in a quantum system with density matrix ρ. Instead of relying on direct analytic continuation in n, the method uses a generating function − Tr{ρ ln[(1 − zρ)/(1 − z)]} of an auxiliary complex variable z. The generating function has a Taylor series that is absolutely convergent within |z| < 1, and may be analytically continued in z to z = −∞ where it gives the von Neumann entropy. As an example, we use the method to calculate analytically the CFT entanglement entropy of two intervals in the small cross ratio limit, reproducing a result that Calabrese et al. obtained by direct analytic continuation in n. Further examples are provided by numerical calculations of the entanglement entropy of two intervals for general cross ratios, and of one interval at finite temperature and finite interval length.
Cerebrospinal fluid outflow: a review of the historical and contemporary evidence for arachnoid villi, perineural routes, and dural lymphatics
Authors: Proulx Steven T. 
Published: January 2021

AbstractCerebrospinal fluid (CSF) is produced by the choroid plexuses within the ventricles of the brain and circulates through the subarachnoid space of the skull and spinal column to provide buoyancy to and maintain fluid homeostasis of the brain and spinal cord. The question of how CSF drains from the subarachnoid space has long puzzled scientists and clinicians. For many decades, it was believed that arachnoid villi or granulations, outcroppings of arachnoid tissue that project into the dural venous sinuses, served as the major outflow route. However, this concept has been increasingly challenged in recent years, as physiological and imaging evidence from several species has accumulated showing that tracers injected into the CSF can instead be found within lymphatic vessels draining from the cranium and spine. With the recent high-profile rediscovery of meningeal lymphatic vessels located in the dura mater, another debate has emerged regarding the exact anatomical pathway(s) for CSF to reach the lymphatic system, with one side favoring direct efflux to the dural lymphatic vessels within the skull and spinal column and another side advocating for pathways along exiting cranial and spinal nerves. In this review, a summary of the historical and contemporary evidence for the different outflow pathways will be presented, allowing the reader to gain further perspective on the recent advances in the field. An improved understanding of this fundamental physiological process may lead to novel therapeutic approaches for a wide range of neurological conditions, including hydrocephalus, neurodegeneration and multiple sclerosis.
Der Ärztliche Leiter Führungsgruppe Katastrophenschutz als zentrale Entscheidungsinstanz bei der Steuerung regionaler Krankenhauskapazitäten in der Pandemie
Authors: Dittmar Michael S. , Altmeppen Jürgen , Bigalke Marc U. , Niedermirtl Florian , Zimmermann Markus 
Published: January 2021

Zusammenfassung
Hintergrund und Zielsetzung
Von März bis Juni 2020 hatte Bayern die erste Welle der SARS-CoV-2-Pandemie zu bewältigen.

Material und Methoden
Es werden Erfahrungen mit der Steuerung der stationären Behandlungskapazitäten für COVID-19-Patienten durch die Ärztlichen Leiter der Führungsgruppen Katastrophenschutz (ÄL-FüGK) und den Ärztlichen Bezirksbeauftragten Rettungsdienst (ÄBRD) in der Oberpfalz im Kontext des Notfallplan Corona-Pandemie der bayerischen Staatsregierung dargestellt.

Ergebnisse
Durch Einstellen des Routineprogramms und Aufbau zusätzlicher Beatmungsbetten wurden Intensivkapazitäten geschaffen, welche insbesondere im Rettungsdienstbereich (RDB) Nordoberpfalz kurzfristig annähernd ausgelastet waren. Bei sich abzeichnendem Verlegungsbedarf von Intensivpatienten wählten die ÄL-FüGK bzw. der ÄBRD Zielkliniken im Sinne von Verlegungskorridoren aus. Dies erfolgte in drei eskalierenden Stufen: auf lokaler Ebene (RDB), auf regionaler Ebene (Regierungsbezirk) und auf überregionaler Ebene (zwischen Regierungsbezirken). Als Datengrundlage wurde u. a. die tägliche Bettenmeldung der Kliniken herangezogen. Normalstationskapazitäten waren stets frei, sodass Hilfskrankenhäuser nicht in Betrieb genommen werden mussten. Zum Schutz von Pflegeeinrichtungen verhängte die Staatsregierung einen Aufnahmestopp. Während des Abebbens der ersten Welle konnte die Routineversorgung schrittweise wieder aufgenommen werden.

Diskussion
Die Steuerung der Patientenströme lehnte sich weitgehend an die Abläufe des Normalbetriebs an, was Abläufe verschlankte und Handlungsfähigkeit sicherstellte. Vereinzelt wurden Schnittstellenprobleme zu anderen Regierungsbezirken beobachtet, welche andere Managementgrundsätze verfolgten. Der Aufnahmestopp für Pflegeeinrichtungen und widerstreitende finanzielle Interessen der Klinikbetreiber stellten die ÄL-FüGK vor Herausforderungen.