Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic

Kim, Seongseop; Kim, Jungkeun; Badu‐Baiden, Frank; Giroux, Marilyn; Choi, Youngjoon

doi:10.1016/j.ijhm.2020.102795

Cited by 328 publications

(233 citation statements)

References 79 publications

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“…Another group of papers is more concerned with specific changes to behaviors. Therefore, the research focuses on the coping mechanisms to the crisis and the isolation measures (e.g , the changes in consumption and purchasing patterns (e.g Sebby, 2021), the adoption of technology and innovation (e.g Kim et al, 2021), the consumer as a more conscious and prosocial being (e.g Van et al, 2021;, and lastly, new behaviors that may be definitive or temporary such as safety concerns (e.g Byrd et al, 2021).…”

Section: Discussion 1 Research Implicationsmentioning

confidence: 99%

“…This topic is the one that receives the most attention. Research has been focusing on how the pandemic has changed purchasing behavior (Sebby, 2021;Kim et al, 2021), the adoption of technology Kim et al, 2021), and risk perceptions (Byrd et al, 2021;Baek et al, 2021). The papers from this cluster approach the changes that the pandemic brought both to the consumer and the act of consumption.…”

Section: %mentioning

confidence: 99%

“…A few papers have discussed food delivery systems. Kim et al (2021) investigated the use of drones for delivery and how consumers' perception of innovativeness shapes their intention of using it. sought to understand consumers' intentions to use food delivery apps.…”

Section: #Rq3) What Are the Gaps In The Research On Consumption/consumer Behavior And The Covid-19 Pandemic?mentioning

confidence: 99%

“…Outro grupo de artigos está mais preocupado com mudanças específicas de comportamento. Portanto, a pesquisa aborda os mecanismos de enfrentamento da crise e as medidas de isolamento (e.g , as mudanças nos padrões de consumo e compra (e.g Sebby, 2021), a adoção de tecnologia e inovação (e.g Kim et al, 2021), o consumidor como um ser mais consciente e pró-social (e.g Van et al, 2021; e, por último, novos comportamentos que podem ser definitivos ou temporários, como questões de segurança (e.g Byrd et al, 2021).…”

Section: Conclusãounclassified

“…Technology and Innovation Adoption (N= 17). These papers introduce how the disruptions in the consumers' lives have triggered a more quickly adoption of technological tools to improve one's wellbeing and help in purchasing behavior Kim et al (2021). discuss the acceptance of robots in hotels.…”

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confidence: 99%

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Covid-19 pandemic: why does it matter for consumer research?

et al. 2021

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Objetivo do estudo: O objetivo deste artigo é revisar sistematicamente a literatura sobre consumo e o comportamento do consumidor no primeiro ano da pandemia COVID-19. Para cumprir esse objetivo, este artigo busca responder às seguintes questões de pesquisa: Qual é o estado da arte da literatura sobre a pandemia de COVID-19 e o consumo/comportamento do consumidor? Quais são as mudanças na vida do consumidor que a literatura tem discutido? Quais são as lacunas de pesquisa sobre consumo/comportamento do consumidor e a pandemia COVID-19?Metodologia: O método selecionado é a revisão de escopo da literatura (reviewing scope), contemplando a análise bibliométria, temática e de conteúdo, utilizando as base de dados da Scopus e Web of Science.Resultados: Foram Identificados 7 tópicos principais na literatura: mudanças no comportamento do consumidor; enfrentando os lockdowns; busca e compartilhamento de informações; efeitos psicológicos; comportamento de vício; mudanças no consumo de alimentos; comportamento de compra por pânico e acumulação. Além disso, foram explorados temas emergentes do consumo, como os antecedentes do consumo e o efeito da crise no comportamento humano. Na literatura investigada, a utilização de survey e a Modelagem de Equações Estruturais se configuram como principais estratégias de coleta e análise de dados e as amostras são originárias principalmente de países como EUA e a China.Contribuições teóricas e metodológicas: Este artigo fornece informações baseadas em evidências para a literatura de marketing, pesquisas de consumo e demais profissionais sobre como a pandemia afetou o domínio do consumidor.Relevância/originalidade: O comportamento do consumidor foi evidenciado no contexto da pandemia, a partir da perspectiva acadêmica e gerencial. A revisão de escopo da literatura identificou os tópicos, métodos e discussões gerais sobre os efeitos da pandemia no consumo e no comportamento do consumidor, que podem ajudar as empresas a entender o comportamento, estimular outras pesquisas e o desenvolver políticas públicas e organizacionais.

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Section: Discussion 1 Research Implicationsmentioning

confidence: 99%

Section: %mentioning

confidence: 99%

Section: #Rq3) What Are the Gaps In The Research On Consumption/consumer Behavior And The Covid-19 Pandemic?mentioning

confidence: 99%

Section: Conclusãounclassified

mentioning

confidence: 99%

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Covid-19 pandemic: why does it matter for consumer research?

et al. 2021

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Deep learning: A taxonomy of modern weapons to combat Covid‐19 similar pandemics in smart cities

Saeedvand

Jafari

Aghdasi

et al. 2022

Concurrency and Computation

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Summary The Covid‐19 pandemic has affected many lives over the past year. In addition to the enormous health cost, the necessary lockdowns and government‐mandated suspension to prevent the spread of the virus had a huge economic impact. The new challenges in 2021 were combating new virus mutations and providing effective vaccines globally. Artificial intelligent (AI) and machine learning have made significant improvements in many different applications during the last decades. One of the advanced and robust technologies in machine learning is deep learning (DL), which can be employed to help prevent initial infections and detect and monitor their progress and side effects. Fast and accurate Covid‐19 infection detection and treatment of suspected patients is essential to make better decisions, ensure treatment, and even save patients' lives. Modern technologies are required to achieve these objectives and create a sustainable society. This article presents a taxonomy in DL algorithms to cover both the technical novelties and empirical results techniques for Covid‐19 in smart cities. In this regard, (i) we demonstrate possible DL algorithms capable of combating Covid‐19; (ii) we propose an up‐to‐date perspective of DL algorithms in social prevention and medical treatment; and (iii) we identify the challenges in combating Covid‐19 outbreaks.

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Bibliometric analysis of the use of artificial intelligence in COVID‐19 based on scientific studies

Karbasi

Hajesmaeel-Gohari

Sabahi

2023

Health Science Reports

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Background and Aims: One such strategy is citation analysis used by researchers for research planning an article referred to by another article receives a "citation." By using bibliometric analysis, the development of research areas and authors' influence can be investigated. The current study aimed to identify and analyze the characteristics of 100 highly cited articles on the use of artificial intelligence concerning COVID-19.Methods: On July 27, 2022, this database was searched using the keywords "artificial intelligence" and "COVID-19" in the topic. After extensive searching, all retrieved articles were sorted by the number of citations, and 100 highly cited articles were included based on the number of citations. The following data were extracted: year of publication, type of study, name of journal, country, number of citations, language, and keywords. Results:The average number of citations for 100 highly cited articles was 138.54.The top three cited articles with 745, 596, and 549 citations. The top 100 articles were all in English and were published in 2020 and 2021. China was the most prolific country with 19 articles, followed by the United States with 15 articles and India with 10 articles. Conclusion:The current bibliometric analysis demonstrated the significant growth of the use of artificial intelligence for COVID-19. Using these results, research priorities are more clearly defined, and researchers can focus on hot topics.

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Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic

Cited by 328 publications

References 79 publications

Covid-19 pandemic: why does it matter for consumer research?

Covid-19 pandemic: why does it matter for consumer research?

Deep learning: A taxonomy of modern weapons to combat Covid‐19 similar pandemics in smart cities

Bibliometric analysis of the use of artificial intelligence in COVID‐19 based on scientific studies

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