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10.1016/j.ijmedinf.2020.104164 http://scihub22266oqcxt.onion/10.1016/j.ijmedinf.2020.104164 32593847!7212948!32593847     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Med+Inform 2020 ; 141 (ä): 104164 Nephropedia Template TP {{tp|p=32593847|t=2020. Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective |pdf=|usr=}}{{32593847}} gab.com Text Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective JO: Int J Med Inform http://www.kidney.de/pget.php?&tw=1&pmid=32593847 #FOAvip This paper augments the technology acceptance model (TAM) by empirically investigating the influence of behavioral traits (privacy concerns and trust) and cognitive beliefs (perceived usefulness and perceived ease of use) on patients' behavioral intention to accept technology in healthcare service delivery. Despite increased emphasis on healthcare service delivery, there has been limited studies as to how various behavioral constructs are related to adoption of new technology in healthcare sector. To this end, and to develop meaningful insights, a conceptual model integrating behavioral constructs with constructs related to technology acceptance model is devised. The aim here is essentially to understand relationships that predict patients' acceptance of technology in healthcare services. The devised model is tested on responses obtained from survey of 416 patients availing healthcare service at various primary health centers in New Delhi, India. Structural equation modeling (SEM) is employed to conceptualize the model and validate nine hypotheses entailing key constructs. The results indicate that perceived usefulness, perceived ease of use, trust and privacy concern are direct predictors of patients' behavior to accept technology in availing healthcare services. In summary, this research provides an empirical contribution to the literature on effect of trust and privacy concerns on acceptance of technology in healthcare. Twit Text FOAVip Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective ????Int J Med Inform http://www.kidney.de/pget.php?&tw=1&pmid=32593847 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32593847 #FOAvip English Wikipedia <ref>{{Cite pmid|32593847}}</ref> Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective #MMPMID32593847 Dhagarra D; Goswami M; Kumar G Int J Med Inform 2020[Sep]; 141 (ä): 104164 PMID32593847show ga This paper augments the technology acceptance model (TAM) by empirically investigating the influence of behavioral traits (privacy concerns and trust) and cognitive beliefs (perceived usefulness and perceived ease of use) on patients' behavioral intention to accept technology in healthcare service delivery. Despite increased emphasis on healthcare service delivery, there has been limited studies as to how various behavioral constructs are related to adoption of new technology in healthcare sector. To this end, and to develop meaningful insights, a conceptual model integrating behavioral constructs with constructs related to technology acceptance model is devised. The aim here is essentially to understand relationships that predict patients' acceptance of technology in healthcare services. The devised model is tested on responses obtained from survey of 416 patients availing healthcare service at various primary health centers in New Delhi, India. Structural equation modeling (SEM) is employed to conceptualize the model and validate nine hypotheses entailing key constructs. The results indicate that perceived usefulness, perceived ease of use, trust and privacy concern are direct predictors of patients' behavior to accept technology in availing healthcare services. In summary, this research provides an empirical contribution to the literature on effect of trust and privacy concerns on acceptance of technology in healthcare. |*Privacy[MESH] |*Trust[MESH] |Attitude to Computers[MESH] |Humans[MESH] |India[MESH]Impact of Trust and Privacy Concerns on Technology Acceptance in Healt(epmc).pdf DeepDyve Pubget Overpricing