Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
880,283 Research products, page 1 of 88,029

  • COVID-19
  • Publications
  • Research data
  • 2018-2022

10
arrow_drop_down
Date (most recent)
arrow_drop_down
  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Brendan Howe;
    Publisher: Amsterdam University Press
  • Authors: 
    Katbi Moses; Bello Maryam; Adeoye Oluwatosin; Adedoyin Adefisayo; Ukaere Amalachukwu; Goldstein Rachel; Klindera Kent; Faturiyele Iyiola; Meri Helina; Swomen Homsuk; +1 more
    Publisher: ClinMed International Library
  • Open Access English
    Authors: 
    Sreejith Balasubramanian; Cedwyn Fernandes;
    Publisher: Taylor & Francis Group
    Country: United Kingdom

    Despite the significance of crisis leadership for organizations, especially in the wake of COVID-19, empirical research in this area is still nascent. Therefore, “What attributes make an effective leader during a crisis?” is unclear. Using lessons learned from the COVID-19 pandemic, this study seeks to address this gap in the literature by i) developing and validating a robust multi-dimensional crisis leadership model and ii) measure its effectiveness in handling the crisis. A higher-order measurement model of crisis leadership comprising of seven constructs (compassion and care, openness and communication, resilience and courage, decisiveness, consultation and collaboration, and empowerment) and two structural models to measure its predictive validity (effectiveness in handling the crisis) were proposed based on the review of crisis leadership literature. Next, using data collected through a global survey, the validity of the proposed models, including the relevance/appropriateness of each construct and the predictive power of the crisis leadership model in explaining the organizations’ effectiveness in handling the crisis, were assessed. The second-order confirmatory factor analysis established the existence of a higher-order measurement model for crisis leadership, with each of the seven constructs contributing uniquely and strongly. The structural equation modeling results confirmed the strong predictive power of the crisis leadership model in explaining the organizations’ effectiveness in handling the crisis across its different (beginning, current, and future) phases. The findings show that crisis leadership is multifaceted and requires an all-encompassing effort and provides a road map for organizations looking to develop crisis leadership capabilities for senior managers and leaders.

  • Publication . Part of book or chapter of book . 2022
    Authors: 
    Marta Latorre Catalán; Juan Ignacio Rico Becerra; Héctor Romero Ramos;
    Publisher: Iberoamericana Vervuert
  • Open Access
    Authors: 
    Kazuma DOI; Yukoh OHARA; Takahiro OUCHI; Rie SASAKI; Futaba MAKI; Junichi MIZUNO;
    Publisher: Japan Neurosurgical Society
  • Authors: 
    Axenciuc Rostislav; Sai Igor; Bondarenko Anatoliy; Kopcha Vasyl; Metersky Kateryna;
    Publisher: ClinMed International Library
  • Authors: 
    Vasilopoulos Ioannis; Siakantaris Marina P; Zerzi Kalliope; Konstantinou Eliana A; Asimakopoulos John V; Karapaschalidis Anestis; Panitsas Fotios; Plata Eleni; Angelopoulou Maria K; Vassilakopoulos Theodoros P; +1 more
    Publisher: ClinMed International Library
  • Authors: 
    Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda;
    Publisher: Association for Computing Machinery (ACM)

    In the last years, there has been an ever-increasing interest in profiling various aspects of city life, especially in the context of smart cities. This interest has become even more relevant recently when we have realized how dramatic events, such as the Covid-19 pandemic, can deeply affect the city life, producing drastic changes. Identifying and analyzing such changes, both at the city level and within single neighborhoods, may be a fundamental tool to better manage the current situation and provide sound strategies for future planning. Furthermore, such fine-grained and up-to-date characterization can represent a valuable asset for other tools and services, e.g., web mapping applications or real estate agency platforms. In this article, we propose a framework featuring a novel methodology to model and track changes in areas of the city by extracting information from online newspaper articles. The problem of uncovering clusters of news at specific times is tackled by means of the joint use of state-of-the-art language models to represent the articles, and of a density-based streaming clustering algorithm, properly shaped to deal with high-dimensional text embeddings. Furthermore, we propose a method to automatically label the obtained clusters in a semantically meaningful way, and we introduce a set of metrics aimed at tracking the temporal evolution of clusters. A case study focusing on the city of Rome during the Covid-19 pandemic is illustrated and discussed to evaluate the effectiveness of the proposed approach.

  • Authors: 
    Han Zhang; Margaret Morris; Paula Nurius; Kelly Mack; Jennifer Brown; Kevin Kuehn; Yasaman Sefidgar; Xuhai Xu; Eve Riskin; Anind Dey; +1 more
    Publisher: Association for Computing Machinery (ACM)

    The COVID-19 pandemic upended college education and the experiences of students due to the rapid and uneven shift to online learning. This study examined the experiences of students with disabilities with online learning, with a consideration of surrounding stressors such as financial pressures. In a mixed method approach, we compared 28 undergraduate students with disabilities (including mental health concerns) to their peers during 2020, to assess differences and similarities in their educational concerns, stress levels, and COVID-19-related adversities. We found that students with disabilities entered the Spring quarter of 2020 with significantly higher concerns about classes going online, and reported more recent negative life events than other students. These differences between the two groups diminished 3 months later with the exception of recent negative life events. For a fuller understanding of students’ experiences, we conducted qualitative analysis of open-ended interviews. We examined both positive and negative experiences with online learning among students with disabilities and mental health concerns. We describe how online learning enabled greater access—e.g., reducing the need for travel to campus—alongside ways in which online learning impeded academic engagement—e.g., reducing interpersonal interaction. We highlight a need for learning systems to meet the diverse and dynamic needs of students with disabilities.

  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Kei Koga;
    Publisher: Amsterdam University Press
Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
880,283 Research products, page 1 of 88,029
  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Brendan Howe;
    Publisher: Amsterdam University Press
  • Authors: 
    Katbi Moses; Bello Maryam; Adeoye Oluwatosin; Adedoyin Adefisayo; Ukaere Amalachukwu; Goldstein Rachel; Klindera Kent; Faturiyele Iyiola; Meri Helina; Swomen Homsuk; +1 more
    Publisher: ClinMed International Library
  • Open Access English
    Authors: 
    Sreejith Balasubramanian; Cedwyn Fernandes;
    Publisher: Taylor & Francis Group
    Country: United Kingdom

    Despite the significance of crisis leadership for organizations, especially in the wake of COVID-19, empirical research in this area is still nascent. Therefore, “What attributes make an effective leader during a crisis?” is unclear. Using lessons learned from the COVID-19 pandemic, this study seeks to address this gap in the literature by i) developing and validating a robust multi-dimensional crisis leadership model and ii) measure its effectiveness in handling the crisis. A higher-order measurement model of crisis leadership comprising of seven constructs (compassion and care, openness and communication, resilience and courage, decisiveness, consultation and collaboration, and empowerment) and two structural models to measure its predictive validity (effectiveness in handling the crisis) were proposed based on the review of crisis leadership literature. Next, using data collected through a global survey, the validity of the proposed models, including the relevance/appropriateness of each construct and the predictive power of the crisis leadership model in explaining the organizations’ effectiveness in handling the crisis, were assessed. The second-order confirmatory factor analysis established the existence of a higher-order measurement model for crisis leadership, with each of the seven constructs contributing uniquely and strongly. The structural equation modeling results confirmed the strong predictive power of the crisis leadership model in explaining the organizations’ effectiveness in handling the crisis across its different (beginning, current, and future) phases. The findings show that crisis leadership is multifaceted and requires an all-encompassing effort and provides a road map for organizations looking to develop crisis leadership capabilities for senior managers and leaders.

  • Publication . Part of book or chapter of book . 2022
    Authors: 
    Marta Latorre Catalán; Juan Ignacio Rico Becerra; Héctor Romero Ramos;
    Publisher: Iberoamericana Vervuert
  • Open Access
    Authors: 
    Kazuma DOI; Yukoh OHARA; Takahiro OUCHI; Rie SASAKI; Futaba MAKI; Junichi MIZUNO;
    Publisher: Japan Neurosurgical Society
  • Authors: 
    Axenciuc Rostislav; Sai Igor; Bondarenko Anatoliy; Kopcha Vasyl; Metersky Kateryna;
    Publisher: ClinMed International Library
  • Authors: 
    Vasilopoulos Ioannis; Siakantaris Marina P; Zerzi Kalliope; Konstantinou Eliana A; Asimakopoulos John V; Karapaschalidis Anestis; Panitsas Fotios; Plata Eleni; Angelopoulou Maria K; Vassilakopoulos Theodoros P; +1 more
    Publisher: ClinMed International Library
  • Authors: 
    Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda;
    Publisher: Association for Computing Machinery (ACM)

    In the last years, there has been an ever-increasing interest in profiling various aspects of city life, especially in the context of smart cities. This interest has become even more relevant recently when we have realized how dramatic events, such as the Covid-19 pandemic, can deeply affect the city life, producing drastic changes. Identifying and analyzing such changes, both at the city level and within single neighborhoods, may be a fundamental tool to better manage the current situation and provide sound strategies for future planning. Furthermore, such fine-grained and up-to-date characterization can represent a valuable asset for other tools and services, e.g., web mapping applications or real estate agency platforms. In this article, we propose a framework featuring a novel methodology to model and track changes in areas of the city by extracting information from online newspaper articles. The problem of uncovering clusters of news at specific times is tackled by means of the joint use of state-of-the-art language models to represent the articles, and of a density-based streaming clustering algorithm, properly shaped to deal with high-dimensional text embeddings. Furthermore, we propose a method to automatically label the obtained clusters in a semantically meaningful way, and we introduce a set of metrics aimed at tracking the temporal evolution of clusters. A case study focusing on the city of Rome during the Covid-19 pandemic is illustrated and discussed to evaluate the effectiveness of the proposed approach.

  • Authors: 
    Han Zhang; Margaret Morris; Paula Nurius; Kelly Mack; Jennifer Brown; Kevin Kuehn; Yasaman Sefidgar; Xuhai Xu; Eve Riskin; Anind Dey; +1 more
    Publisher: Association for Computing Machinery (ACM)

    The COVID-19 pandemic upended college education and the experiences of students due to the rapid and uneven shift to online learning. This study examined the experiences of students with disabilities with online learning, with a consideration of surrounding stressors such as financial pressures. In a mixed method approach, we compared 28 undergraduate students with disabilities (including mental health concerns) to their peers during 2020, to assess differences and similarities in their educational concerns, stress levels, and COVID-19-related adversities. We found that students with disabilities entered the Spring quarter of 2020 with significantly higher concerns about classes going online, and reported more recent negative life events than other students. These differences between the two groups diminished 3 months later with the exception of recent negative life events. For a fuller understanding of students’ experiences, we conducted qualitative analysis of open-ended interviews. We examined both positive and negative experiences with online learning among students with disabilities and mental health concerns. We describe how online learning enabled greater access—e.g., reducing the need for travel to campus—alongside ways in which online learning impeded academic engagement—e.g., reducing interpersonal interaction. We highlight a need for learning systems to meet the diverse and dynamic needs of students with disabilities.

  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Kei Koga;
    Publisher: Amsterdam University Press