5 research outputs found

    An Exploratory Study of Airbnb Customer Reviews and Impact of COVID - 19

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    Airbnb has experienced meteoric growth in the sharing economy business model since it launched in 2009. The Airbnb business model helps exploit underutilized assets and helps travelers stay in a home away from home to fulfill their travel needs at a much cheaper cost. Due to the outbreak of the COVID-19 pandemic, the operations impacted the overall decline in Airbnb activity. We study how Airbnb activity and the rental market have changed during the COVID-19 pandemic using the comprehensive record of Airbnb listings, calendar, and customer reviews. Specifically, we perform exploratory data analysis using natural language processing techniques to compare and contrast changes in Airbnb activities including customer preferences, customer reviews, and pricing. Based on the findings, we point out implications and avenues for future research

    Nursing Home COVID-19 Impact Analysis Dashboard: A Prototype

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    The interactive dashboard developed in this study serves to better understand the impact of COVID-19 within nursing homes across the USA. It allows stakeholders to make informed decisions related to the spread of COVID-19 over a 14-month period starting May 2020. Analytics techniques are used to customize the dashboard and enhance its visualization and interactive capabilities. The design science research method was used to create the interactive dashboard as a design artifact to help stakeholders get answers to improve the livelihood conditions for residents in nursing homes. Use of this artifact improves access to information for policy makers and other stakeholders that could not have been possible without an integrated view. The information can inspire new policies for nursing home facilities to improve their situation in light of the pandemic

    An Exploratory Study Of Airbnb Customer Reviews And Impact Of Covid-19

    Get PDF
    Airbnb has experienced meteoric growth in the sharing economy business model since it launched in 2009. Due to the outbreak of the COVID-19 pandemic, the operations impacted the overall decline in Airbnb activity. The depth study of how Airbnb activity and the rental market have changed during the COVID-19 pandemic using the comprehensive record of Airbnb listings, calendar, and reviews data. We propose an analytical framework of natural language processing on the text data of reviews left by the customers based on their experience with the property and host. The study found that COVID-19 had a catastrophic impact on the sector leading to massive cancellations and recorded low bookings with adverse effects on annual accommodations bookings for 2020 globally. However, as anticipated, the suspension of global travel due to the pandemic was foreseeable, but the drift was temporary and merely shifted to new tourist locations. We perform exploratory data analysis for the city-state; the impact of COVID-19 on the sharing economy in different cities; Analyze customer reviews using sentiment analysis to differentiate between positive and negative reviews and check the robustness of these reviews. We point out implications and avenues for future research based on the findings

    A DASHBOARD FOR NURSING HOME COVID-19 IMPACT: A DESIGN SCIENCE APPROACH

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    Using a design science approach, we developed a dashboard prototype (artifact) to better understand the factors related to the impact of COVID-19 within nursing homes (NHs). The artifact will allow stakeholders to make informed decisions related to potential spread of the coronavirus in NHs. Data integrated from disparate sources was used for building the design artifact. We used analytics techniques to customize the dashboard and enhance its visualization and interactive capabilities to help stakeholders get answers related to nursing home factors that impact the spread of COVID-19 in NHs. The viability of the dashboard will depend on the attributes possessed, such as the type of information conveyed, the level of detail, and reusability potential. The dashboard can inspire new policies to be developed for nursing home facilities across the country which will ultimately improve their situations in light of the pandemic
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