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Impact of technology, health and consumer-related factors on continued usage intention of wearable fitness tracking (WFT) devices
PurposeThis paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attri...
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Published in: | Benchmarking : an international journal 2023-12, Vol.30 (9), p.3444-3464 |
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description | PurposeThis paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).Design/methodology/approachThe study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.FindingsResults indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.Research limitations/implicationsThe results may be limited to the context of the sample and the factors considered. The study suggests future research areas.Practical implicationsThe paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.Originality/valueThe study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries. |
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The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.FindingsResults indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.Research limitations/implicationsThe results may be limited to the context of the sample and the factors considered. The study suggests future research areas.Practical implicationsThe paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.Originality/valueThe study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.</description><identifier>ISSN: 1463-5771</identifier><identifier>EISSN: 1758-4094</identifier><identifier>DOI: 10.1108/BIJ-12-2020-0647</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Autonomy ; Consumers ; Context ; Developing countries ; Devices ; Diet ; Effectiveness ; Empirical analysis ; Exercise ; Gender ; Health care ; Health care industry ; Health services ; Industrialized nations ; Internet of Things ; LDCs ; Objectives ; Physical fitness ; Preventive medicine ; Profitability ; Scandals ; Self-efficacy ; Smartwatches ; Sports facilities ; Technology Acceptance Model ; Technology adoption ; Tracking devices ; Wearable computers ; Wearable technology</subject><ispartof>Benchmarking : an international journal, 2023-12, Vol.30 (9), p.3444-3464</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-5a655b473910406e79a9a3248e8a1d0d998207c7c88e286aea425bc76cfe11003</citedby><cites>FETCH-LOGICAL-c331t-5a655b473910406e79a9a3248e8a1d0d998207c7c88e286aea425bc76cfe11003</cites><orcidid>0000-0002-4728-1378 ; 0000-0003-2920-9257 ; 0000-0002-7978-5474</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2895066949?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363</link.rule.ids></links><search><creatorcontrib>Puri, Sandeep</creatorcontrib><creatorcontrib>Pandey, Shweta</creatorcontrib><creatorcontrib>Chawla, Deepak</creatorcontrib><title>Impact of technology, health and consumer-related factors on continued usage intention of wearable fitness tracking (WFT) devices</title><title>Benchmarking : an international journal</title><description>PurposeThis paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).Design/methodology/approachThe study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.FindingsResults indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.Research limitations/implicationsThe results may be limited to the context of the sample and the factors considered. 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Pandey, Shweta ; Chawla, Deepak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-5a655b473910406e79a9a3248e8a1d0d998207c7c88e286aea425bc76cfe11003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Autonomy</topic><topic>Consumers</topic><topic>Context</topic><topic>Developing countries</topic><topic>Devices</topic><topic>Diet</topic><topic>Effectiveness</topic><topic>Empirical analysis</topic><topic>Exercise</topic><topic>Gender</topic><topic>Health care</topic><topic>Health care industry</topic><topic>Health services</topic><topic>Industrialized nations</topic><topic>Internet of Things</topic><topic>LDCs</topic><topic>Objectives</topic><topic>Physical fitness</topic><topic>Preventive medicine</topic><topic>Profitability</topic><topic>Scandals</topic><topic>Self-efficacy</topic><topic>Smartwatches</topic><topic>Sports facilities</topic><topic>Technology Acceptance Model</topic><topic>Technology adoption</topic><topic>Tracking devices</topic><topic>Wearable computers</topic><topic>Wearable technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Puri, Sandeep</creatorcontrib><creatorcontrib>Pandey, Shweta</creatorcontrib><creatorcontrib>Chawla, Deepak</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Proquest Entrepreneurship</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>ProQuest Health Management Database</collection><collection>One Business (ProQuest)</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 Basic</collection><jtitle>Benchmarking : an international journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Puri, Sandeep</au><au>Pandey, Shweta</au><au>Chawla, Deepak</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of technology, health and consumer-related factors on continued usage intention of wearable fitness tracking (WFT) devices</atitle><jtitle>Benchmarking : an international journal</jtitle><date>2023-12-01</date><risdate>2023</risdate><volume>30</volume><issue>9</issue><spage>3444</spage><epage>3464</epage><pages>3444-3464</pages><issn>1463-5771</issn><eissn>1758-4094</eissn><abstract>PurposeThis paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).Design/methodology/approachThe study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.FindingsResults indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.Research limitations/implicationsThe results may be limited to the context of the sample and the factors considered. The study suggests future research areas.Practical implicationsThe paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.Originality/valueThe study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/BIJ-12-2020-0647</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-4728-1378</orcidid><orcidid>https://orcid.org/0000-0003-2920-9257</orcidid><orcidid>https://orcid.org/0000-0002-7978-5474</orcidid></addata></record> |
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subjects | Autonomy Consumers Context Developing countries Devices Diet Effectiveness Empirical analysis Exercise Gender Health care Health care industry Health services Industrialized nations Internet of Things LDCs Objectives Physical fitness Preventive medicine Profitability Scandals Self-efficacy Smartwatches Sports facilities Technology Acceptance Model Technology adoption Tracking devices Wearable computers Wearable technology |
title | Impact of technology, health and consumer-related factors on continued usage intention of wearable fitness tracking (WFT) devices |
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