A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis
PurposeThis study focuses on the adoption of wearable technologies in a context where care-providing organizations can offer, in collaboration with caregivers, better care. Drawing on dual-factor theory and from the caregiver perspective, this study identifies and examines factors of technology adop...
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Veröffentlicht in: | Information technology & people (West Linn, Or.) Or.), 2021-11, Vol.34 (7), p.1768-1799 |
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description | PurposeThis study focuses on the adoption of wearable technologies in a context where care-providing organizations can offer, in collaboration with caregivers, better care. Drawing on dual-factor theory and from the caregiver perspective, this study identifies and examines factors of technology adoption in four developing countries.Design/methodology/approachThis study was undertaken using a quantitative approach. A survey was distributed among 1,013 caregivers in four developing countries in Asia including Iran, Azerbaijan, Turkmenistan and Iraq and collected quantitative data for model validation and hypotheses analysis. Building on the technology adoption literature, we identified six constructs that impact the behavioral intention of caregivers to use wearable technologies in aged care-providing organizations.FindingsOur dual-factor model was successfully validated, and all hypotheses were supported. However, different results were found in the selected countries within the cross-country analysis.Originality/valueThis study has significant implications for the study of emerging technologies in aged care service operations. It provides a theoretical framework that may be adapted for future research, enabling practitioners in aged care to better understand the crucial role of technology adoption in service operations. Less attention was paid to the adoption of wearable technologies in aged care, particularly in developing countries, where healthcare services in aged care impose heavy costs on care providers. |
doi_str_mv | 10.1108/ITP-10-2018-0449 |
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Drawing on dual-factor theory and from the caregiver perspective, this study identifies and examines factors of technology adoption in four developing countries.Design/methodology/approachThis study was undertaken using a quantitative approach. A survey was distributed among 1,013 caregivers in four developing countries in Asia including Iran, Azerbaijan, Turkmenistan and Iraq and collected quantitative data for model validation and hypotheses analysis. Building on the technology adoption literature, we identified six constructs that impact the behavioral intention of caregivers to use wearable technologies in aged care-providing organizations.FindingsOur dual-factor model was successfully validated, and all hypotheses were supported. However, different results were found in the selected countries within the cross-country analysis.Originality/valueThis study has significant implications for the study of emerging technologies in aged care service operations. It provides a theoretical framework that may be adapted for future research, enabling practitioners in aged care to better understand the crucial role of technology adoption in service operations. Less attention was paid to the adoption of wearable technologies in aged care, particularly in developing countries, where healthcare services in aged care impose heavy costs on care providers.</description><identifier>ISSN: 0959-3845</identifier><identifier>EISSN: 1758-5813</identifier><identifier>DOI: 10.1108/ITP-10-2018-0449</identifier><language>eng</language><publisher>Leeds: Emerald Publishing Limited</publisher><subject>Adults ; Caregivers ; Data ; Developing countries ; Elder care ; Health care expenditures ; Hypotheses ; Information Science & Library Science ; Information technology ; Interagency collaboration ; LDCs ; Medical personnel ; New technology ; Older people ; Organizations ; Patient-centered care ; Radio frequency identification ; Science & Technology ; Technology ; Technology Acceptance Model ; Technology adoption ; Technology utilization ; Wearable technology</subject><ispartof>Information technology & people (West Linn, Or.), 2021-11, Vol.34 (7), p.1768-1799</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>8</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000574459100001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c358t-e3051915f2c9c27f3979fdc9753a6a51d992856561752b1f6a9d0f3c780494c3</citedby><cites>FETCH-LOGICAL-c358t-e3051915f2c9c27f3979fdc9753a6a51d992856561752b1f6a9d0f3c780494c3</cites><orcidid>0000-0003-4895-9045 ; 0000-0002-7747-0196 ; 0000-0003-2241-9913 ; 0000-0001-5324-5026</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/ITP-10-2018-0449/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>315,781,785,968,11640,27929,27930,39262,52694</link.rule.ids></links><search><creatorcontrib>Khaksar, Seyed Mohammad Sadegh</creatorcontrib><creatorcontrib>Jahanshahi, Asghar Afshar</creatorcontrib><creatorcontrib>Slade, Bret</creatorcontrib><creatorcontrib>Asian, Sobhan</creatorcontrib><title>A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis</title><title>Information technology & people (West Linn, Or.)</title><addtitle>INFORM TECHNOL PEOPL</addtitle><description>PurposeThis study focuses on the adoption of wearable technologies in a context where care-providing organizations can offer, in collaboration with caregivers, better care. Drawing on dual-factor theory and from the caregiver perspective, this study identifies and examines factors of technology adoption in four developing countries.Design/methodology/approachThis study was undertaken using a quantitative approach. A survey was distributed among 1,013 caregivers in four developing countries in Asia including Iran, Azerbaijan, Turkmenistan and Iraq and collected quantitative data for model validation and hypotheses analysis. Building on the technology adoption literature, we identified six constructs that impact the behavioral intention of caregivers to use wearable technologies in aged care-providing organizations.FindingsOur dual-factor model was successfully validated, and all hypotheses were supported. However, different results were found in the selected countries within the cross-country analysis.Originality/valueThis study has significant implications for the study of emerging technologies in aged care service operations. It provides a theoretical framework that may be adapted for future research, enabling practitioners in aged care to better understand the crucial role of technology adoption in service operations. Less attention was paid to the adoption of wearable technologies in aged care, particularly in developing countries, where healthcare services in aged care impose heavy costs on care providers.</description><subject>Adults</subject><subject>Caregivers</subject><subject>Data</subject><subject>Developing countries</subject><subject>Elder care</subject><subject>Health care expenditures</subject><subject>Hypotheses</subject><subject>Information Science & Library Science</subject><subject>Information technology</subject><subject>Interagency collaboration</subject><subject>LDCs</subject><subject>Medical personnel</subject><subject>New technology</subject><subject>Older people</subject><subject>Organizations</subject><subject>Patient-centered care</subject><subject>Radio frequency identification</subject><subject>Science & Technology</subject><subject>Technology</subject><subject>Technology Acceptance Model</subject><subject>Technology adoption</subject><subject>Technology 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Or.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khaksar, Seyed Mohammad Sadegh</au><au>Jahanshahi, Asghar Afshar</au><au>Slade, Bret</au><au>Asian, Sobhan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis</atitle><jtitle>Information technology & people (West Linn, Or.)</jtitle><stitle>INFORM TECHNOL PEOPL</stitle><date>2021-11-18</date><risdate>2021</risdate><volume>34</volume><issue>7</issue><spage>1768</spage><epage>1799</epage><pages>1768-1799</pages><issn>0959-3845</issn><eissn>1758-5813</eissn><abstract>PurposeThis study focuses on the adoption of wearable technologies in a context where care-providing organizations can offer, in collaboration with caregivers, better care. 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It provides a theoretical framework that may be adapted for future research, enabling practitioners in aged care to better understand the crucial role of technology adoption in service operations. Less attention was paid to the adoption of wearable technologies in aged care, particularly in developing countries, where healthcare services in aged care impose heavy costs on care providers.</abstract><cop>Leeds</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/ITP-10-2018-0449</doi><tpages>32</tpages><orcidid>https://orcid.org/0000-0003-4895-9045</orcidid><orcidid>https://orcid.org/0000-0002-7747-0196</orcidid><orcidid>https://orcid.org/0000-0003-2241-9913</orcidid><orcidid>https://orcid.org/0000-0001-5324-5026</orcidid></addata></record> |
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subjects | Adults Caregivers Data Developing countries Elder care Health care expenditures Hypotheses Information Science & Library Science Information technology Interagency collaboration LDCs Medical personnel New technology Older people Organizations Patient-centered care Radio frequency identification Science & Technology Technology Technology Acceptance Model Technology adoption Technology utilization Wearable technology |
title | A dual-factor theory of WTs adoption in aged care service operations – a cross-country analysis |
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