Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management

This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Health...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of business research 2021-07, Vol.131, p.563-572
Hauptverfasser: Secundo, Giustina, Riad Shams, S.M., Nucci, Francesco
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 572
container_issue
container_start_page 563
container_title Journal of business research
container_volume 131
creator Secundo, Giustina
Riad Shams, S.M.
Nucci, Francesco
description This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Healthcare ecosystem as a collective intelligence system in which the multitude of actors can be coordinated to address the pandemic-specific management challenges. The Italian healthcare ecosystem is analyzed as scenario taking in consideration the ‘genes’ of the collective intelligence: What is being done?, Who is doing it?, Why are they doing it? and How is it being done?. Our analysis introduces policy implications based on a unique decision support system (DSS) to allocate a limited set of IoT devices to a larger group of patients, to balance the alternative needs to improve the conditions of the most severe patients but to maximize the efficiency of device use.
doi_str_mv 10.1016/j.jbusres.2021.01.034
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2756672395</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A661763128</galeid><els_id>S0148296321000400</els_id><sourcerecordid>A661763128</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-a76f0585bfe6c0d9ba2dab613ec3f1fbac2cfe0d2a38edc290d0af5196fff8983</originalsourceid><addsrcrecordid>eNqFkd9uFCEUxonR2G31ETRcGW9m5c8Mw3hjmmq1SZPe1GvCwGGWzQyswDatb-Bby7qrtyYnIYHv-845_BB6Q8maEio-bNfbcZ8T5DUjjK5JLd4-Qysqe970Qy-foxWhrWzYIPgZOs95SwhhhMiX6IyLriVSihX69dlPvugZFzCbEOc4echYB4tNnGcwxT8A9qHAPPsJggHsYsIb0HPZGJ0Ag4n5KRdYPuK7XfGL_-nDhG-qIwUoODp8v6k3NdPG-h7Dn4Bd7QCLN3jRQU-wQCiv0Aun5wyvT-cF-n795f7qW3N79_Xm6vK2MV1LS6N74Ugnu9GBMMQOo2ZWj4JyMNxRN2rDjANimeYSrGEDsUS7jg7COScHyS_Q-2PuLsUfe8hFLT6bup8OEPdZsb4Tomd86Kr03VE66RmUDybWtR7LpPc5K3UpBO0Fp-yQ2R2FJsVcoTi1S37R6UlRog641FadcKkDLkVq8bb63p5m2Y8L2H-uv3yq4NNRAPVHHjwklY0_YLA-VTjKRv-fFr8B65Gtig</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2756672395</pqid></control><display><type>article</type><title>Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><creator>Secundo, Giustina ; Riad Shams, S.M. ; Nucci, Francesco</creator><creatorcontrib>Secundo, Giustina ; Riad Shams, S.M. ; Nucci, Francesco</creatorcontrib><description>This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Healthcare ecosystem as a collective intelligence system in which the multitude of actors can be coordinated to address the pandemic-specific management challenges. The Italian healthcare ecosystem is analyzed as scenario taking in consideration the ‘genes’ of the collective intelligence: What is being done?, Who is doing it?, Why are they doing it? and How is it being done?. Our analysis introduces policy implications based on a unique decision support system (DSS) to allocate a limited set of IoT devices to a larger group of patients, to balance the alternative needs to improve the conditions of the most severe patients but to maximize the efficiency of device use.</description><identifier>ISSN: 0148-2963</identifier><identifier>EISSN: 1873-7978</identifier><identifier>DOI: 10.1016/j.jbusres.2021.01.034</identifier><identifier>PMID: 36540886</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Analysis ; Collective intelligence ; COVID-19 ; Digital technologies ; Ecosystems ; Epidemics ; Healthcare ecosystem ; Internet ; Internet of Things (IoT) ; Pandemic ; Swarm intelligence</subject><ispartof>Journal of business research, 2021-07, Vol.131, p.563-572</ispartof><rights>2021</rights><rights>2021 Elsevier Inc. All rights reserved.</rights><rights>COPYRIGHT 2021 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-a76f0585bfe6c0d9ba2dab613ec3f1fbac2cfe0d2a38edc290d0af5196fff8983</citedby><cites>FETCH-LOGICAL-c541t-a76f0585bfe6c0d9ba2dab613ec3f1fbac2cfe0d2a38edc290d0af5196fff8983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jbusres.2021.01.034$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36540886$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Secundo, Giustina</creatorcontrib><creatorcontrib>Riad Shams, S.M.</creatorcontrib><creatorcontrib>Nucci, Francesco</creatorcontrib><title>Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management</title><title>Journal of business research</title><addtitle>J Bus Res</addtitle><description>This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Healthcare ecosystem as a collective intelligence system in which the multitude of actors can be coordinated to address the pandemic-specific management challenges. The Italian healthcare ecosystem is analyzed as scenario taking in consideration the ‘genes’ of the collective intelligence: What is being done?, Who is doing it?, Why are they doing it? and How is it being done?. Our analysis introduces policy implications based on a unique decision support system (DSS) to allocate a limited set of IoT devices to a larger group of patients, to balance the alternative needs to improve the conditions of the most severe patients but to maximize the efficiency of device use.</description><subject>Analysis</subject><subject>Collective intelligence</subject><subject>COVID-19</subject><subject>Digital technologies</subject><subject>Ecosystems</subject><subject>Epidemics</subject><subject>Healthcare ecosystem</subject><subject>Internet</subject><subject>Internet of Things (IoT)</subject><subject>Pandemic</subject><subject>Swarm intelligence</subject><issn>0148-2963</issn><issn>1873-7978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkd9uFCEUxonR2G31ETRcGW9m5c8Mw3hjmmq1SZPe1GvCwGGWzQyswDatb-Bby7qrtyYnIYHv-845_BB6Q8maEio-bNfbcZ8T5DUjjK5JLd4-Qysqe970Qy-foxWhrWzYIPgZOs95SwhhhMiX6IyLriVSihX69dlPvugZFzCbEOc4echYB4tNnGcwxT8A9qHAPPsJggHsYsIb0HPZGJ0Ag4n5KRdYPuK7XfGL_-nDhG-qIwUoODp8v6k3NdPG-h7Dn4Bd7QCLN3jRQU-wQCiv0Aun5wyvT-cF-n795f7qW3N79_Xm6vK2MV1LS6N74Ugnu9GBMMQOo2ZWj4JyMNxRN2rDjANimeYSrGEDsUS7jg7COScHyS_Q-2PuLsUfe8hFLT6bup8OEPdZsb4Tomd86Kr03VE66RmUDybWtR7LpPc5K3UpBO0Fp-yQ2R2FJsVcoTi1S37R6UlRog641FadcKkDLkVq8bb63p5m2Y8L2H-uv3yq4NNRAPVHHjwklY0_YLA-VTjKRv-fFr8B65Gtig</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Secundo, Giustina</creator><creator>Riad Shams, S.M.</creator><creator>Nucci, Francesco</creator><general>Elsevier Inc</general><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20210701</creationdate><title>Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management</title><author>Secundo, Giustina ; Riad Shams, S.M. ; Nucci, Francesco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-a76f0585bfe6c0d9ba2dab613ec3f1fbac2cfe0d2a38edc290d0af5196fff8983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Collective intelligence</topic><topic>COVID-19</topic><topic>Digital technologies</topic><topic>Ecosystems</topic><topic>Epidemics</topic><topic>Healthcare ecosystem</topic><topic>Internet</topic><topic>Internet of Things (IoT)</topic><topic>Pandemic</topic><topic>Swarm intelligence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Secundo, Giustina</creatorcontrib><creatorcontrib>Riad Shams, S.M.</creatorcontrib><creatorcontrib>Nucci, Francesco</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of business research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Secundo, Giustina</au><au>Riad Shams, S.M.</au><au>Nucci, Francesco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management</atitle><jtitle>Journal of business research</jtitle><addtitle>J Bus Res</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>131</volume><spage>563</spage><epage>572</epage><pages>563-572</pages><issn>0148-2963</issn><eissn>1873-7978</eissn><abstract>This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Healthcare ecosystem as a collective intelligence system in which the multitude of actors can be coordinated to address the pandemic-specific management challenges. The Italian healthcare ecosystem is analyzed as scenario taking in consideration the ‘genes’ of the collective intelligence: What is being done?, Who is doing it?, Why are they doing it? and How is it being done?. Our analysis introduces policy implications based on a unique decision support system (DSS) to allocate a limited set of IoT devices to a larger group of patients, to balance the alternative needs to improve the conditions of the most severe patients but to maximize the efficiency of device use.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36540886</pmid><doi>10.1016/j.jbusres.2021.01.034</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0148-2963
ispartof Journal of business research, 2021-07, Vol.131, p.563-572
issn 0148-2963
1873-7978
language eng
recordid cdi_proquest_miscellaneous_2756672395
source Elsevier ScienceDirect Journals Complete - AutoHoldings
subjects Analysis
Collective intelligence
COVID-19
Digital technologies
Ecosystems
Epidemics
Healthcare ecosystem
Internet
Internet of Things (IoT)
Pandemic
Swarm intelligence
title Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T16%3A29%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Digital%20technologies%20and%20collective%20intelligence%20for%20healthcare%20ecosystem:%20Optimizing%20Internet%20of%20Things%20adoption%20for%20pandemic%20management&rft.jtitle=Journal%20of%20business%20research&rft.au=Secundo,%20Giustina&rft.date=2021-07-01&rft.volume=131&rft.spage=563&rft.epage=572&rft.pages=563-572&rft.issn=0148-2963&rft.eissn=1873-7978&rft_id=info:doi/10.1016/j.jbusres.2021.01.034&rft_dat=%3Cgale_proqu%3EA661763128%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2756672395&rft_id=info:pmid/36540886&rft_galeid=A661763128&rft_els_id=S0148296321000400&rfr_iscdi=true