Identifying key factors of adopting an RFID system in nursing care using DEMATEL-based ANP
Technology in an aging society can reduce the impact of the shortage of health care workers, with radio frequency identification (RFID) technology quite suitable for solving the issue of a labor shortage in the nursing care industry. This study constructs an evaluation model for adopting RFID in nur...
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| Veröffentlicht in: | Corporate Management Review 2018-01, Vol.38 (1), p.63-98 |
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| creator | Wu, Chao Chan Chang, Dong Shang Wang, Rouwen |
| description | Technology in an aging society can reduce the impact of the shortage of health care workers, with radio frequency identification (RFID) technology quite suitable for solving the issue of a labor shortage in the nursing care industry. This study constructs an evaluation model for adopting RFID in nursing care, using a hybrid modified multiple criteria decision-making (MCDM) and dividing it into three stages: (1) selecting important factors by the modified Delphi method; (2) constructing the causal diagram through Decision Making Trial and Evaluation Laboratory (DEMATEL); and (3) exploring the weights of the factors utilizing DEMATEL-based ANP (DANP). The results show that one should consider five dimensions, which contain twenty-four criteria, when adopting an RFID system in nursing care. Moreover, the most influential dimension is technology. The dimension that is most related to the other dimensions is cost, whereas organization is considered the most important dimension. The contribution of this study is to define the key dimensions and criteria for adopting an RFID system by the nursing care industry. This study also constructs an evaluation model that can be used as a guidance for decision making in a nursing care facility that adopts an RFID system. |
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This study constructs an evaluation model for adopting RFID in nursing care, using a hybrid modified multiple criteria decision-making (MCDM) and dividing it into three stages: (1) selecting important factors by the modified Delphi method; (2) constructing the causal diagram through Decision Making Trial and Evaluation Laboratory (DEMATEL); and (3) exploring the weights of the factors utilizing DEMATEL-based ANP (DANP). The results show that one should consider five dimensions, which contain twenty-four criteria, when adopting an RFID system in nursing care. Moreover, the most influential dimension is technology. The dimension that is most related to the other dimensions is cost, whereas organization is considered the most important dimension. The contribution of this study is to define the key dimensions and criteria for adopting an RFID system by the nursing care industry. This study also constructs an evaluation model that can be used as a guidance for decision making in a nursing care facility that adopts an RFID system.</description><identifier>ISSN: 1028-7310</identifier><language>eng</language><publisher>Taiwan: National Chiao Tung University, College of Management</publisher><subject>Aging ; Bar codes ; Caregivers ; Decision making ; Delphi method ; Efficiency ; Health care industry ; Labor shortages ; Laboratories ; Long term health care ; Multiple criteria decision making ; Nursing care ; Nursing homes ; Older people ; Planning ; Population ; Quality of life ; Radio frequency identification ; Society ; Technology adoption</subject><ispartof>Corporate Management Review, 2018-01, Vol.38 (1), p.63-98</ispartof><rights>Copyright Higher Education Publishing Co. 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This study constructs an evaluation model for adopting RFID in nursing care, using a hybrid modified multiple criteria decision-making (MCDM) and dividing it into three stages: (1) selecting important factors by the modified Delphi method; (2) constructing the causal diagram through Decision Making Trial and Evaluation Laboratory (DEMATEL); and (3) exploring the weights of the factors utilizing DEMATEL-based ANP (DANP). The results show that one should consider five dimensions, which contain twenty-four criteria, when adopting an RFID system in nursing care. Moreover, the most influential dimension is technology. The dimension that is most related to the other dimensions is cost, whereas organization is considered the most important dimension. The contribution of this study is to define the key dimensions and criteria for adopting an RFID system by the nursing care industry. This study also constructs an evaluation model that can be used as a guidance for decision making in a nursing care facility that adopts an RFID system.</description><subject>Aging</subject><subject>Bar codes</subject><subject>Caregivers</subject><subject>Decision making</subject><subject>Delphi method</subject><subject>Efficiency</subject><subject>Health care industry</subject><subject>Labor shortages</subject><subject>Laboratories</subject><subject>Long term health care</subject><subject>Multiple criteria decision making</subject><subject>Nursing care</subject><subject>Nursing homes</subject><subject>Older people</subject><subject>Planning</subject><subject>Population</subject><subject>Quality of life</subject><subject>Radio frequency identification</subject><subject>Society</subject><subject>Technology adoption</subject><issn>1028-7310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNisEKgkAURWdRkJT_8KC1MCpqLiWVhIoIV21k0jG0mrF5Mwv_Pos-oNW995w7I5ZLvY0T-S5dEBuxp3TaQeTHnkUuRcOF7tqxEze48xFaVmupEGQLrJGD_nAm4JwXKeCImj-hEyCMwo-pmeJgvjXNDkmZ7Z0rQ95AcjytyLxlD-T2L5dknWflducMSr4MR1310igxqcrzQy-mYegG_n-vN3epQPI</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Wu, Chao Chan</creator><creator>Chang, Dong Shang</creator><creator>Wang, Rouwen</creator><general>National Chiao Tung University, College of Management</general><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X5</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20180101</creationdate><title>Identifying key factors of adopting an RFID system in nursing care using DEMATEL-based ANP</title><author>Wu, Chao Chan ; Chang, Dong Shang ; Wang, Rouwen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_23629066153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aging</topic><topic>Bar codes</topic><topic>Caregivers</topic><topic>Decision making</topic><topic>Delphi method</topic><topic>Efficiency</topic><topic>Health care industry</topic><topic>Labor shortages</topic><topic>Laboratories</topic><topic>Long term health care</topic><topic>Multiple criteria decision making</topic><topic>Nursing care</topic><topic>Nursing homes</topic><topic>Older people</topic><topic>Planning</topic><topic>Population</topic><topic>Quality of life</topic><topic>Radio frequency identification</topic><topic>Society</topic><topic>Technology adoption</topic><toplevel>online_resources</toplevel><creatorcontrib>Wu, Chao Chan</creatorcontrib><creatorcontrib>Chang, Dong Shang</creatorcontrib><creatorcontrib>Wang, Rouwen</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</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</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</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>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 Basic</collection><jtitle>Corporate Management Review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Chao Chan</au><au>Chang, Dong Shang</au><au>Wang, Rouwen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying key factors of adopting an RFID system in nursing care using DEMATEL-based ANP</atitle><jtitle>Corporate Management Review</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>38</volume><issue>1</issue><spage>63</spage><epage>98</epage><pages>63-98</pages><issn>1028-7310</issn><abstract>Technology in an aging society can reduce the impact of the shortage of health care workers, with radio frequency identification (RFID) technology quite suitable for solving the issue of a labor shortage in the nursing care industry. This study constructs an evaluation model for adopting RFID in nursing care, using a hybrid modified multiple criteria decision-making (MCDM) and dividing it into three stages: (1) selecting important factors by the modified Delphi method; (2) constructing the causal diagram through Decision Making Trial and Evaluation Laboratory (DEMATEL); and (3) exploring the weights of the factors utilizing DEMATEL-based ANP (DANP). The results show that one should consider five dimensions, which contain twenty-four criteria, when adopting an RFID system in nursing care. Moreover, the most influential dimension is technology. The dimension that is most related to the other dimensions is cost, whereas organization is considered the most important dimension. The contribution of this study is to define the key dimensions and criteria for adopting an RFID system by the nursing care industry. This study also constructs an evaluation model that can be used as a guidance for decision making in a nursing care facility that adopts an RFID system.</abstract><cop>Taiwan</cop><pub>National Chiao Tung University, College of Management</pub></addata></record> |
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| subjects | Aging Bar codes Caregivers Decision making Delphi method Efficiency Health care industry Labor shortages Laboratories Long term health care Multiple criteria decision making Nursing care Nursing homes Older people Planning Population Quality of life Radio frequency identification Society Technology adoption |
| title | Identifying key factors of adopting an RFID system in nursing care using DEMATEL-based ANP |
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