Understanding the Forced Adoption of an AI-Based Health Code System in China
With the growth of technology and the exigency to continuously improve their socioeconomic position, users must gradually adopt new AI-based solutions. However, users may experience dissatisfaction and frustration when faced with the replacement of previous systems. To bridge this gap, this study pr...
Gespeichert in:
| Veröffentlicht in: | Amfiteatru economic 2024-05, Vol.26 (66), p.550-567 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 567 |
|---|---|
| container_issue | 66 |
| container_start_page | 550 |
| container_title | Amfiteatru economic |
| container_volume | 26 |
| creator | Yuan, Jingbo Shah, Sayed Kifayat Popp, József Acevedo-Duque, Angel |
| description | With the growth of technology and the exigency to continuously improve their socioeconomic position, users must gradually adopt new AI-based solutions. However, users may experience dissatisfaction and frustration when faced with the replacement of previous systems. To bridge this gap, this study proposes a theoretical model that relies on the forced acceptance and usage of AI-based services during COVID-19 in China. This research examined the implementation of a novel health code system in which users were forced to exclusively adopt this system to restrict face-to-face interactions. The study hypotheses were evaluated by employing structural equation modelling (SEM) on the data obtained from a survey of 262 Chinese users. The results show that the forced acceptability of use is impacted by technological and personal factors. This study demonstrates the forced implementation and daily utilisation of the health code system to meet the social needs of the vulnerable population and offers a comprehensive analysis of the process by which policies are formulated. This framework will incentivise socioeconomic progress in institutions and society, as well as assist other academicians in organising their thoughts and promoting the development of theory. |
| doi_str_mv | 10.24818/EA/2024/66/550 |
| format | Article |
| fullrecord | <record><control><sourceid>ceeol_econi</sourceid><recordid>TN_cdi_econis_econstor_300609</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ceeol_id>1244555</ceeol_id><sourcerecordid>1244555</sourcerecordid><originalsourceid>FETCH-LOGICAL-c255t-6783486c907eae0575f1c76c81af05340dd2562cd3b83ffb55bb58d370ae79fc3</originalsourceid><addsrcrecordid>eNpVjc9LwzAcxYMoOObOnoSA59r8-ibpsZbNDQYedOeSJqnr2JLZdIf991YmDN_lPb7fD-8h9EjJCxOa6nxe5owwkUuZA5AbNGFMqKygRNyiCQXNxizkPZqltCOjFHAqYILWm-B8nwYTXBe-8LD1eBF76x0uXTwOXQw4ttgEXK6yV5PG-9Kb_bDFVXQef5zT4A-4C7jadsE8oLvW7JOf_fkUbRbzz2qZrd_fVlW5ziwDGDKpNBda2oIobzwBBS21SlpNTUuAC-IcA8ms443mbdsANA1oxxUxXhWt5VP0fOk99vH75NNQ7-KpD-NkzYkoNCdAyUjhC-VtDF2qj313MP25proArnnBYUSe_iG_lobYjzVEkuL6t97H_XWFMiEAgP8AgWVsCg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3049830510</pqid></control><display><type>article</type><title>Understanding the Forced Adoption of an AI-Based Health Code System in China</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Yuan, Jingbo ; Shah, Sayed Kifayat ; Popp, József ; Acevedo-Duque, Angel</creator><creatorcontrib>Yuan, Jingbo ; Shah, Sayed Kifayat ; Popp, József ; Acevedo-Duque, Angel</creatorcontrib><description>With the growth of technology and the exigency to continuously improve their socioeconomic position, users must gradually adopt new AI-based solutions. However, users may experience dissatisfaction and frustration when faced with the replacement of previous systems. To bridge this gap, this study proposes a theoretical model that relies on the forced acceptance and usage of AI-based services during COVID-19 in China. This research examined the implementation of a novel health code system in which users were forced to exclusively adopt this system to restrict face-to-face interactions. The study hypotheses were evaluated by employing structural equation modelling (SEM) on the data obtained from a survey of 262 Chinese users. The results show that the forced acceptability of use is impacted by technological and personal factors. This study demonstrates the forced implementation and daily utilisation of the health code system to meet the social needs of the vulnerable population and offers a comprehensive analysis of the process by which policies are formulated. This framework will incentivise socioeconomic progress in institutions and society, as well as assist other academicians in organising their thoughts and promoting the development of theory.</description><identifier>ISSN: 1582-9146</identifier><identifier>ISSN: 2247-9104</identifier><identifier>EISSN: 2247-9104</identifier><identifier>DOI: 10.24818/EA/2024/66/550</identifier><language>eng</language><publisher>Bucharest: EDITURA ASE</publisher><subject>Big Data ; Business Economy / Management ; China ; Cost analysis ; COVID-19 ; Drug stores ; Economic development ; Epidemics ; forced acceptance ; Frustration ; Health services ; health-code system ; Literature reviews ; Mobile commerce ; Pandemics ; PLS-SEM model ; Public health ; Socioeconomic factors ; Socioeconomic status ; User behavior ; Vulnerability</subject><ispartof>Amfiteatru economic, 2024-05, Vol.26 (66), p.550-567</ispartof><rights>2024. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.ceeol.com//api/image/getissuecoverimage?id=picture_2024_82186.jpg</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Yuan, Jingbo</creatorcontrib><creatorcontrib>Shah, Sayed Kifayat</creatorcontrib><creatorcontrib>Popp, József</creatorcontrib><creatorcontrib>Acevedo-Duque, Angel</creatorcontrib><title>Understanding the Forced Adoption of an AI-Based Health Code System in China</title><title>Amfiteatru economic</title><addtitle>Economic Amphitheater</addtitle><description>With the growth of technology and the exigency to continuously improve their socioeconomic position, users must gradually adopt new AI-based solutions. However, users may experience dissatisfaction and frustration when faced with the replacement of previous systems. To bridge this gap, this study proposes a theoretical model that relies on the forced acceptance and usage of AI-based services during COVID-19 in China. This research examined the implementation of a novel health code system in which users were forced to exclusively adopt this system to restrict face-to-face interactions. The study hypotheses were evaluated by employing structural equation modelling (SEM) on the data obtained from a survey of 262 Chinese users. The results show that the forced acceptability of use is impacted by technological and personal factors. This study demonstrates the forced implementation and daily utilisation of the health code system to meet the social needs of the vulnerable population and offers a comprehensive analysis of the process by which policies are formulated. This framework will incentivise socioeconomic progress in institutions and society, as well as assist other academicians in organising their thoughts and promoting the development of theory.</description><subject>Big Data</subject><subject>Business Economy / Management</subject><subject>China</subject><subject>Cost analysis</subject><subject>COVID-19</subject><subject>Drug stores</subject><subject>Economic development</subject><subject>Epidemics</subject><subject>forced acceptance</subject><subject>Frustration</subject><subject>Health services</subject><subject>health-code system</subject><subject>Literature reviews</subject><subject>Mobile commerce</subject><subject>Pandemics</subject><subject>PLS-SEM model</subject><subject>Public health</subject><subject>Socioeconomic factors</subject><subject>Socioeconomic status</subject><subject>User behavior</subject><subject>Vulnerability</subject><issn>1582-9146</issn><issn>2247-9104</issn><issn>2247-9104</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>REL</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVjc9LwzAcxYMoOObOnoSA59r8-ibpsZbNDQYedOeSJqnr2JLZdIf991YmDN_lPb7fD-8h9EjJCxOa6nxe5owwkUuZA5AbNGFMqKygRNyiCQXNxizkPZqltCOjFHAqYILWm-B8nwYTXBe-8LD1eBF76x0uXTwOXQw4ttgEXK6yV5PG-9Kb_bDFVXQef5zT4A-4C7jadsE8oLvW7JOf_fkUbRbzz2qZrd_fVlW5ziwDGDKpNBda2oIobzwBBS21SlpNTUuAC-IcA8ms443mbdsANA1oxxUxXhWt5VP0fOk99vH75NNQ7-KpD-NkzYkoNCdAyUjhC-VtDF2qj313MP25proArnnBYUSe_iG_lobYjzVEkuL6t97H_XWFMiEAgP8AgWVsCg</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Yuan, Jingbo</creator><creator>Shah, Sayed Kifayat</creator><creator>Popp, József</creator><creator>Acevedo-Duque, Angel</creator><general>EDITURA ASE</general><general>ASE Publishing House</general><general>The Bucharest University of Economic Studies</general><general>Bucharest Academy of Economic Studies, Faculty of Commerce</general><scope>AE2</scope><scope>BIXPP</scope><scope>REL</scope><scope>OT2</scope><scope>OQ6</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20240501</creationdate><title>Understanding the Forced Adoption of an AI-Based Health Code System in China</title><author>Yuan, Jingbo ; Shah, Sayed Kifayat ; Popp, József ; Acevedo-Duque, Angel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c255t-6783486c907eae0575f1c76c81af05340dd2562cd3b83ffb55bb58d370ae79fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Big Data</topic><topic>Business Economy / Management</topic><topic>China</topic><topic>Cost analysis</topic><topic>COVID-19</topic><topic>Drug stores</topic><topic>Economic development</topic><topic>Epidemics</topic><topic>forced acceptance</topic><topic>Frustration</topic><topic>Health services</topic><topic>health-code system</topic><topic>Literature reviews</topic><topic>Mobile commerce</topic><topic>Pandemics</topic><topic>PLS-SEM model</topic><topic>Public health</topic><topic>Socioeconomic factors</topic><topic>Socioeconomic status</topic><topic>User behavior</topic><topic>Vulnerability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Jingbo</creatorcontrib><creatorcontrib>Shah, Sayed Kifayat</creatorcontrib><creatorcontrib>Popp, József</creatorcontrib><creatorcontrib>Acevedo-Duque, Angel</creatorcontrib><collection>Central and Eastern European Online Library (C.E.E.O.L.) (DFG Nationallizenzen)</collection><collection>CEEOL: Open Access</collection><collection>Central and Eastern European Online Library</collection><collection>EconStor</collection><collection>ECONIS</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Amfiteatru economic</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Jingbo</au><au>Shah, Sayed Kifayat</au><au>Popp, József</au><au>Acevedo-Duque, Angel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding the Forced Adoption of an AI-Based Health Code System in China</atitle><jtitle>Amfiteatru economic</jtitle><addtitle>Economic Amphitheater</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>26</volume><issue>66</issue><spage>550</spage><epage>567</epage><pages>550-567</pages><issn>1582-9146</issn><issn>2247-9104</issn><eissn>2247-9104</eissn><abstract>With the growth of technology and the exigency to continuously improve their socioeconomic position, users must gradually adopt new AI-based solutions. However, users may experience dissatisfaction and frustration when faced with the replacement of previous systems. To bridge this gap, this study proposes a theoretical model that relies on the forced acceptance and usage of AI-based services during COVID-19 in China. This research examined the implementation of a novel health code system in which users were forced to exclusively adopt this system to restrict face-to-face interactions. The study hypotheses were evaluated by employing structural equation modelling (SEM) on the data obtained from a survey of 262 Chinese users. The results show that the forced acceptability of use is impacted by technological and personal factors. This study demonstrates the forced implementation and daily utilisation of the health code system to meet the social needs of the vulnerable population and offers a comprehensive analysis of the process by which policies are formulated. This framework will incentivise socioeconomic progress in institutions and society, as well as assist other academicians in organising their thoughts and promoting the development of theory.</abstract><cop>Bucharest</cop><pub>EDITURA ASE</pub><doi>10.24818/EA/2024/66/550</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1582-9146 |
| ispartof | Amfiteatru economic, 2024-05, Vol.26 (66), p.550-567 |
| issn | 1582-9146 2247-9104 2247-9104 |
| language | eng |
| recordid | cdi_econis_econstor_300609 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Big Data Business Economy / Management China Cost analysis COVID-19 Drug stores Economic development Epidemics forced acceptance Frustration Health services health-code system Literature reviews Mobile commerce Pandemics PLS-SEM model Public health Socioeconomic factors Socioeconomic status User behavior Vulnerability |
| title | Understanding the Forced Adoption of an AI-Based Health Code System in China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T04%3A29%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ceeol_econi&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Understanding%20the%20Forced%20Adoption%20of%20an%20AI-Based%20Health%20Code%20System%20in%20China&rft.jtitle=Amfiteatru%20economic&rft.au=Yuan,%20Jingbo&rft.date=2024-05-01&rft.volume=26&rft.issue=66&rft.spage=550&rft.epage=567&rft.pages=550-567&rft.issn=1582-9146&rft.eissn=2247-9104&rft_id=info:doi/10.24818/EA/2024/66/550&rft_dat=%3Cceeol_econi%3E1244555%3C/ceeol_econi%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3049830510&rft_id=info:pmid/&rft_ceeol_id=1244555&rfr_iscdi=true |