A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic
Despite its side effects on the global environment, the pandemic has created business opportunities for healthcare. This work utilizes LinkedIn data to examine the features of U.S. healthcare companies that operate within a COVID-19 framework. Data from 304 companies in May 2022 and 333 companies in...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
|
| Series: | Healthcare Analytics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442523001582 |
| _version_ | 1797383607061315584 |
|---|---|
| author | Theodoros Daglis Konstantinos P. Tsagarakis |
| author_facet | Theodoros Daglis Konstantinos P. Tsagarakis |
| author_sort | Theodoros Daglis |
| collection | DOAJ |
| description | Despite its side effects on the global environment, the pandemic has created business opportunities for healthcare. This work utilizes LinkedIn data to examine the features of U.S. healthcare companies that operate within a COVID-19 framework. Data from 304 companies in May 2022 and 333 companies in June 2023 from COVID-19-related companies with LinkedIn presence in the U.S. has been collected and analyzed. This study investigates the distinct characteristics of these companies through statistical measures and analysis at the state level. Some of these companies were established long before the pandemic but shifted their orientation toward COVID-19 in response to the crisis, while many others emerged explicitly due to the pandemic. These companies are primarily active in “Health, wellness and fitness,” “Hospital and healthcare,” Nonprofit organization and management,” “Medical practice,” and “Civic and Social organizations.” We show most companies and employees are located in California, and most followers are in the companies in Washington in the first and California in the second data mining. |
| first_indexed | 2024-03-08T21:23:30Z |
| format | Article |
| id | doaj.art-b20c16f75cc04f10b2adb2ef727940f5 |
| institution | Directory Open Access Journal |
| issn | 2772-4425 |
| language | English |
| last_indexed | 2024-03-08T21:23:30Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Healthcare Analytics |
| spelling | doaj.art-b20c16f75cc04f10b2adb2ef727940f52023-12-21T07:38:42ZengElsevierHealthcare Analytics2772-44252024-06-015100291A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemicTheodoros Daglis0Konstantinos P. Tsagarakis1School of Production Engineering and Management, Technical University of Crete, Chania, GreeceCorresponding author.; School of Production Engineering and Management, Technical University of Crete, Chania, GreeceDespite its side effects on the global environment, the pandemic has created business opportunities for healthcare. This work utilizes LinkedIn data to examine the features of U.S. healthcare companies that operate within a COVID-19 framework. Data from 304 companies in May 2022 and 333 companies in June 2023 from COVID-19-related companies with LinkedIn presence in the U.S. has been collected and analyzed. This study investigates the distinct characteristics of these companies through statistical measures and analysis at the state level. Some of these companies were established long before the pandemic but shifted their orientation toward COVID-19 in response to the crisis, while many others emerged explicitly due to the pandemic. These companies are primarily active in “Health, wellness and fitness,” “Hospital and healthcare,” Nonprofit organization and management,” “Medical practice,” and “Civic and Social organizations.” We show most companies and employees are located in California, and most followers are in the companies in Washington in the first and California in the second data mining.http://www.sciencedirect.com/science/article/pii/S2772442523001582Healthcare companiesCOVID-19LinkedInFollowersEmployeesU.S. states |
| spellingShingle | Theodoros Daglis Konstantinos P. Tsagarakis A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic Healthcare Analytics Healthcare companies COVID-19 Followers Employees U.S. states |
| title | A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic |
| title_full | A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic |
| title_fullStr | A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic |
| title_full_unstemmed | A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic |
| title_short | A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic |
| title_sort | linkedin based analysis of the u s dynamic adaptations in healthcare during the covid 19 pandemic |
| topic | Healthcare companies COVID-19 Followers Employees U.S. states |
| url | http://www.sciencedirect.com/science/article/pii/S2772442523001582 |
| work_keys_str_mv | AT theodorosdaglis alinkedinbasedanalysisoftheusdynamicadaptationsinhealthcareduringthecovid19pandemic AT konstantinosptsagarakis alinkedinbasedanalysisoftheusdynamicadaptationsinhealthcareduringthecovid19pandemic AT theodorosdaglis linkedinbasedanalysisoftheusdynamicadaptationsinhealthcareduringthecovid19pandemic AT konstantinosptsagarakis linkedinbasedanalysisoftheusdynamicadaptationsinhealthcareduringthecovid19pandemic |