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Open AccessJournal ArticleDOI

An Evaluation of Green Ryokans through a Tourism Accommodation Survey and Customer-Satisfaction-Related CASBEE–IPA after COVID-19 Pandemic

TLDR
The authors evaluated ryokans through descriptive statistics from a tourism accommodation survey and customer-satisfaction-related comprehensive assessment system for built environment efficiency (CASBEE) importance-performance analysis (IPA).
Abstract
Following the outbreak of the COVID-19 pandemic, it became significant to study how to improve the customer satisfaction for Japanese tourist accommodations for restart and recovery in the future, and in preparation for the 2021 Japan Olympics. Therefore, the current paper attempts to evaluate ryokans through descriptive statistics from a tourism accommodation survey and customer-satisfaction-related comprehensive assessment system for built environment efficiency (CASBEE) importance–performance analysis (IPA). Through three progressive studies, three findings were obtained: (1) ryokans are more flexible than hotels, have strong anti-risk capabilities, and have received more and more attention from tourists and support from the Japanese government; (2) improvement strategies for customer satisfaction after COVID-19 were provided from IPA; and (3) a dynamic evaluation model of green ryokans was discussed and may be employed in other countries and regions experiencing the same situation.

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Festival travellers’ pro-social and protective behaviours against COVID-19 in the time of pandemic

TL;DR: With the uncertain pandemic situation on a global scale, pro-social and sustainable tourism performance has been continuously valued and called for as discussed by the authors. Undoubtedly, the sustainable festival tourism is a promising area.
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Empty Summer: International Tourist Behavior in Spain during COVID-19

TL;DR: In this paper, the effective behavior of international tourists in the time of COVID-19 was studied by analyzing data from credit card transactions showing tourist behavior in 33 destinations representative of various types of tourism and found that differences in tourist behavior between destinations can be explained by risk perception and the proximity of the destination to home.
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Protecting yourself and others: festival tourists’ pro-social intentions for wearing a mask, maintaining social distancing, and practicing sanitary/hygiene actions

TL;DR: This article investigated the formation of travelers' pro-social intentions of wearing a mask, maintaining social distancing, and practicing sanitary/hygiene actions in the festival tourism context in the US.
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Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology

TL;DR: In this paper , a hybrid approach using clustering, supervised learning, and text mining techniques was used to explore consumers' satisfaction and preferences of restaurants' services during the COVID-19 crisis.
Journal ArticleDOI

Detection of Financial Statement Fraud Using Deep Learning for Sustainable Development of Capital Markets under Information Asymmetry

Chyan-Long Jan
- 02 Sep 2021 - 
TL;DR: Two powerful deep learning algorithms (i.e., recurrent neural network (RNN) and long short-term memory (LSTM) are used to construct financial statement fraud detection models and the empirical results suggest that the LSTM model outperforms the RNN model in all performance indicators.
References
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Journal ArticleDOI

An Experimental Application of the Delphi Method to the Use of Experts

TL;DR: The DELPHI method was devised in order to obtain the most reliable opinion consensus of a group of experts by subjecting them to a series of questionnaires in depth interspersed with controlled opinion feedback as mentioned in this paper.
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The socio-economic implications of the coronavirus pandemic (COVID-19): A review.

TL;DR: The socio-economic effects of COVID-19 on individual aspects of the world economy are summarised to show the need for medical supplies has significantly increased and the food sector has seen a great demand due to panic-buying and stockpiling of food products.
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Importance-Performance Analysis

TL;DR: An easily-applied technique for measuring attribute importance and performance can further the development of effective marketing programs.
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Pandemics, tourism and global change: a rapid assessment of COVID-19

TL;DR: Why COVID-19 is an analogue to the ongoing climate crisis, and why there is a need to question the volume growth tourism model advocated by UNWTO, ICAO, CLIA, WTTC and other tourism organizations are discussed.
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Design-Based Research and Technology-Enhanced Learning Environments.

TL;DR: The importance of design- based research for the development of TELEs is described, principles for implementing design-based research withTELEs are proposed, and future challenges of using this methodology are discussed.
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