RFID Technology: Implications for Healthcare Organizations
The primary purpose of this paper is to investigate the healthcare organization’s intention to use radio frequency identification (RFID) technology for improving efficiency. This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This p...
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Veröffentlicht in: | American journal of business 2010-09, Vol.25 (2), p.25-40 |
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creator | Carr, Amelia S. Zhang, Man Klopping, Inge Min, Hokey |
description | The primary purpose of this paper is to investigate the healthcare organization’s intention to use radio frequency identification (RFID) technology for improving efficiency. This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This paper develops and tests seven different hypotheses. These hypotheses are tested using structural equation modeling. Our results provide support for a number of relationships in the hypothesized model. These include direct relationships among the factors risk, resistance to change, supplier support and the factor perceived usefulness. However, the study did not find support for the relationship between the factors perceived ease of use and intention to use. The results provide support for several indirect relationships as well. These include indirect relationships between the factors perceived resistance to change, risk, suppliers’ support and perceived ease of use with the factor intention to adopt RFID technology in the healthcare organization. This research is grounded in the theory of reasoned action and applies the technology acceptance model (TAM) to the healthcare organization’s intention to use RFID technology. |
doi_str_mv | 10.1108/19355181201000008 |
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This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This paper develops and tests seven different hypotheses. These hypotheses are tested using structural equation modeling. Our results provide support for a number of relationships in the hypothesized model. These include direct relationships among the factors risk, resistance to change, supplier support and the factor perceived usefulness. However, the study did not find support for the relationship between the factors perceived ease of use and intention to use. The results provide support for several indirect relationships as well. These include indirect relationships between the factors perceived resistance to change, risk, suppliers’ support and perceived ease of use with the factor intention to adopt RFID technology in the healthcare organization. This research is grounded in the theory of reasoned action and applies the technology acceptance model (TAM) to the healthcare organization’s intention to use RFID technology.</description><identifier>ISSN: 1935-519X</identifier><identifier>ISSN: 1935-5181</identifier><identifier>EISSN: 1935-5181</identifier><identifier>DOI: 10.1108/19355181201000008</identifier><language>eng</language><publisher>Bingley: Emerald Group Publishing Limited</publisher><subject>Automatic identification ; Automation ; Cost control ; Efficiency ; Evaluation ; Health care industry ; Health care reform ; Healthcare organizations ; Hypotheses ; Information technology ; Inventory ; Medical research ; Payback periods ; Radio frequency identification ; Radio frequency identification (RFID) ; RFID ; Structural equation model ; Studies ; Suppliers ; Supply chains ; Technology Acceptance Model ; Technology adoption ; Technology application</subject><ispartof>American journal of business, 2010-09, Vol.25 (2), p.25-40</ispartof><rights>Emerald Group Publishing Limited</rights><rights>COPYRIGHT 2010 Emerald Group Publishing, Ltd.</rights><rights>Copyright Ball State University Fall 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-c7b81c15569186e861dca7fff56cd46223005df71b425d43140aa6930bba971d3</citedby><cites>FETCH-LOGICAL-c460t-c7b81c15569186e861dca7fff56cd46223005df71b425d43140aa6930bba971d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/19355181201000008/full/pdf$$EPDF$$P50$$Gemerald$$H</linktopdf><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/19355181201000008/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,967,11635,21695,27924,27925,52686,52689,53244,53372</link.rule.ids></links><search><creatorcontrib>Carr, Amelia S.</creatorcontrib><creatorcontrib>Zhang, Man</creatorcontrib><creatorcontrib>Klopping, Inge</creatorcontrib><creatorcontrib>Min, Hokey</creatorcontrib><title>RFID Technology: Implications for Healthcare Organizations</title><title>American journal of business</title><description>The primary purpose of this paper is to investigate the healthcare organization’s intention to use radio frequency identification (RFID) technology for improving efficiency. This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This paper develops and tests seven different hypotheses. These hypotheses are tested using structural equation modeling. Our results provide support for a number of relationships in the hypothesized model. These include direct relationships among the factors risk, resistance to change, supplier support and the factor perceived usefulness. However, the study did not find support for the relationship between the factors perceived ease of use and intention to use. The results provide support for several indirect relationships as well. These include indirect relationships between the factors perceived resistance to change, risk, suppliers’ support and perceived ease of use with the factor intention to adopt RFID technology in the healthcare organization. This research is grounded in the theory of reasoned action and applies the technology acceptance model (TAM) to the healthcare organization’s intention to use RFID technology.</description><subject>Automatic identification</subject><subject>Automation</subject><subject>Cost control</subject><subject>Efficiency</subject><subject>Evaluation</subject><subject>Health care industry</subject><subject>Health care reform</subject><subject>Healthcare organizations</subject><subject>Hypotheses</subject><subject>Information technology</subject><subject>Inventory</subject><subject>Medical research</subject><subject>Payback periods</subject><subject>Radio frequency identification</subject><subject>Radio frequency identification (RFID)</subject><subject>RFID</subject><subject>Structural equation model</subject><subject>Studies</subject><subject>Suppliers</subject><subject>Supply chains</subject><subject>Technology Acceptance Model</subject><subject>Technology adoption</subject><subject>Technology application</subject><issn>1935-519X</issn><issn>1935-5181</issn><issn>1935-5181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkW9L3TAUxotM0Ll9gL0r7q3VnOa_7-RuzssEYbjNdyFNk95o21yTXpj79GupuOnuYDmQHJ78npwcTpa9A3QMgMQJSEwpCCgRoGmJnWx_0opJfPWUy5u97HVKtwhRSSTbz06_nC8_5NfWrPrQhubhNF9269YbPfjQp9yFmF9Y3Q4ro6PNr2Kje_9zvnyT7TrdJvv28TzIvp5_vF5cFJdXn5aLs8vCEIaGwvBKgAFKmQTBrGBQG82dc5SZmrCyxONnasehIiWtCQaCtGYSo6rSkkOND7LD-d11DPcbmwZ1GzaxH0sqzjBggTkZofcz1OjWKt-7MERtOp-MOitJCVyCnKhiC9XY3kbdht46P8rP-OMt_Bi17bzZajj6w1Btku9tGrfkm9WQGr1J6TkOM25iSClap9bRdzo-KEBqmqv6a66_e_BpsD-eDDreKcYxp4p8L5W4WQj-GX1TdOTRzNtu6rL-rxJH_7C8RNW6dvgXt927LA</recordid><startdate>20100922</startdate><enddate>20100922</enddate><creator>Carr, Amelia S.</creator><creator>Zhang, Man</creator><creator>Klopping, Inge</creator><creator>Min, Hokey</creator><general>Emerald Group Publishing Limited</general><general>Emerald Group Publishing, Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>0U~</scope><scope>1-H</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FI</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M2M</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20100922</creationdate><title>RFID Technology: Implications for Healthcare Organizations</title><author>Carr, Amelia S. ; 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This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This paper develops and tests seven different hypotheses. These hypotheses are tested using structural equation modeling. Our results provide support for a number of relationships in the hypothesized model. These include direct relationships among the factors risk, resistance to change, supplier support and the factor perceived usefulness. However, the study did not find support for the relationship between the factors perceived ease of use and intention to use. The results provide support for several indirect relationships as well. These include indirect relationships between the factors perceived resistance to change, risk, suppliers’ support and perceived ease of use with the factor intention to adopt RFID technology in the healthcare organization. This research is grounded in the theory of reasoned action and applies the technology acceptance model (TAM) to the healthcare organization’s intention to use RFID technology.</abstract><cop>Bingley</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/19355181201000008</doi><tpages>16</tpages></addata></record> |
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subjects | Automatic identification Automation Cost control Efficiency Evaluation Health care industry Health care reform Healthcare organizations Hypotheses Information technology Inventory Medical research Payback periods Radio frequency identification Radio frequency identification (RFID) RFID Structural equation model Studies Suppliers Supply chains Technology Acceptance Model Technology adoption Technology application |
title | RFID Technology: Implications for Healthcare Organizations |
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