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• W4317870133 endingPage "e0280956" @default.
• W4317870133 startingPage "e0280956" @default.
• W4317870133 abstract "Background Tele-emergency physicians (TEPs) take an increasingly important role in the need-oriented provision of emergency patient care. To improve emergency medicine in rural areas, we set up the project ‘Rural|Rescue’, which uses TEPs to restructure professional rescue services using information and communication technologies (ICTs) in order to reduce the therapy-free interval. Successful implementation of ICTs relies on user acceptance and knowledge sharing behavior. Method We conducted a factorial design with active knowledge transfer and technology acceptance as a function of work satisfaction (high vs. low), workload (high vs. low) and point in time (prior to vs. after digitalization). Data were collected via machine readable questionnaires issued to 755 persons (411 pre, 344 post), of which 304 or 40.3% of these persons responded (194 pre, 115 post). Results Technology acceptance was higher after the implementation of TEP for nurses but not for other professions, and it was higher when the workload was high. Regarding active communication and knowledge sharing, employees with low work satisfaction are more likely to share their digital knowledge as compared to employees with high work satisfaction. This is an effect of previous knowledge concerning digitalization: After implementing the new technology, work satisfaction increased for the more experienced employees, but not for the less experienced ones. Conclusion Our research illustrates that employees’ workload has an impact on the intention of using digital applications. The higher the workload, the more people are willing to use TEPs. Regarding active knowledge sharing, we see that employees with low work satisfaction are more likely to share their digital knowledge compared to employees with high work satisfaction. This might be attributed to the Dunning-Kruger effect. Highly knowledgeable employees initially feel uncertain about the change, which translates into temporarily lower work satisfaction. They feel the urge to fill even small knowledge gaps, which in return leads to higher work satisfaction. Those responsible need to acknowledge that digital change affects their employees’ workflow and work satisfaction. During such times, employees need time and support to gather information and knowledge in order to cope with digitally changed tasks." @default.
• W4317870133 created "2023-01-25" @default.
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• W4317870133 date "2023-01-24" @default.
• W4317870133 modified "2023-10-14" @default.
• W4317870133 title "Digital transition in rural emergency medicine: Impact of job satisfaction and workload on communication and technology acceptance" @default.
• W4317870133 cites W113785703 @default.
• W4317870133 cites W1570850622 @default.
• W4317870133 cites W1606169904 @default.
• W4317870133 cites W1790404736 @default.
• W4317870133 cites W1791587663 @default.
• W4317870133 cites W1971931485 @default.
• W4317870133 cites W1974197419 @default.
• W4317870133 cites W1986471214 @default.
• W4317870133 cites W1993921183 @default.
• W4317870133 cites W1994307831 @default.
• W4317870133 cites W2016025968 @default.
• W4317870133 cites W2016369760 @default.
• W4317870133 cites W2020155291 @default.
• W4317870133 cites W2028751652 @default.
• W4317870133 cites W2029226794 @default.
• W4317870133 cites W2033943395 @default.
• W4317870133 cites W2042402004 @default.
• W4317870133 cites W2061972584 @default.
• W4317870133 cites W2070065008 @default.
• W4317870133 cites W2078118224 @default.
• W4317870133 cites W2079600665 @default.
• W4317870133 cites W2092421155 @default.
• W4317870133 cites W2099330597 @default.
• W4317870133 cites W2099697766 @default.
• W4317870133 cites W2102463240 @default.
• W4317870133 cites W2103242737 @default.
• W4317870133 cites W2106595660 @default.
• W4317870133 cites W2108154693 @default.
• W4317870133 cites W2112042732 @default.
• W4317870133 cites W2113020419 @default.
• W4317870133 cites W2116776977 @default.
• W4317870133 cites W2117767124 @default.
• W4317870133 cites W2123716180 @default.
• W4317870133 cites W2127625785 @default.
• W4317870133 cites W2127934026 @default.
• W4317870133 cites W2135374241 @default.
• W4317870133 cites W2139767042 @default.
• W4317870133 cites W2146125869 @default.
• W4317870133 cites W2147510781 @default.
• W4317870133 cites W2150376909 @default.
• W4317870133 cites W2159289164 @default.
• W4317870133 cites W2161607736 @default.
• W4317870133 cites W2163020995 @default.
• W4317870133 cites W2168569455 @default.
• W4317870133 cites W2181498473 @default.
• W4317870133 cites W2182961096 @default.
• W4317870133 cites W2273082863 @default.
• W4317870133 cites W2286479359 @default.
• W4317870133 cites W2339767001 @default.
• W4317870133 cites W2561289773 @default.
• W4317870133 cites W2582629529 @default.
• W4317870133 cites W2586636375 @default.
• W4317870133 cites W2619380358 @default.
• W4317870133 cites W2728684082 @default.
• W4317870133 cites W2751549482 @default.
• W4317870133 cites W2773010937 @default.
• W4317870133 cites W2797608427 @default.
• W4317870133 cites W2801481812 @default.
• W4317870133 cites W2803420202 @default.
• W4317870133 cites W2895705711 @default.
• W4317870133 cites W2899461901 @default.
• W4317870133 cites W2918669362 @default.
• W4317870133 cites W2923413722 @default.
• W4317870133 cites W2932574482 @default.
• W4317870133 cites W2963387245 @default.
• W4317870133 cites W2977033331 @default.
• W4317870133 cites W2990966726 @default.
• W4317870133 cites W2995107837 @default.
• W4317870133 cites W3005166210 @default.
• W4317870133 cites W3006056102 @default.
• W4317870133 cites W3093623361 @default.
• W4317870133 cites W3094640574 @default.
• W4317870133 cites W3199075789 @default.
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• W4317870133 doi "https://doi.org/10.1371/journal.pone.0280956" @default.
• W4317870133 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36693080" @default.
• W4317870133 hasPublicationYear "2023" @default.
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