eHEALTH IN THE PUBLIC SECTOR: AN EMPIRICAL ANALYSIS OF THE ACCEPTANCE OF GERMANY'S ELECTRONIC HEALTH CARD

Abstract

Given the increasing importance of eHealth as an integral part of eGovernment, this contribution concentrates on the issue of acceptance regarding the introduction of the German electronic health card (eHC). A brief introduction highlights the relevance of the subject and the differing acceptance rates of patients and service providers, i.e. physicians. Based on both the technology acceptance model and the relevant literature, important factors influencing the attitude towards and the potential use of the eHC are conceptualized and integrated in a research model. The empirical examination was conducted throughout Germany through an online survey of physicians. Overall, 502 responses were collected and included in the analysis, which was carried out with structural equation modelling using EQS. The empirical results show that the relevant determinants of the acceptance of the eHC in Germany, such as efficiency and usability of the system and the cost–benefit ratio, were properly identified.

Critical Factor Influencing Electronic Government Capacity Building in Sragen Municipality Government Public Service Delivery

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Influence of Factors on the Adoption and <i>Use</i> of ICT-Based eHealth Technology by Urban Corporate People

“…Other studies also identified social influence as the determinant of the acceptance of eHealth [35]. Yet other studies found that social influence had a significant impact on perceived usefulness [36]. Therefore, the following hypotheses are developed.…”

A meta-analysis of e-health applications acceptance

“…TAM was proposed by Davis (1989) to study the role of human behavior attributes in the acceptance of an information system. TAM is an adaptation of a psychological theory, Escobar-Rodriguez and Romero-Alonso (2013) 118 Medical staff E-health system TAM Glegg et al (2013) 42 Medical staff E-health tool DTPB Guo et al (2013) 204 Public E-health system TAM Hendrikx et al (2013) 68 Patients E-health system TAM Huang (2013) 369 Public E-health tool TAM (continued ) Kuo et al (2013) 665 Medical staff E-health tool TAM Liu et al (2013) 50 Patients E-health tool TAM Martínez-Caro et al (2013) 256 Patients E-health system TAM Monthuy- Blanc et al (2013) 205 Medical staff E-health tool TAM Noblin et al (2013) 560 Patients E-health tool TAM Nuq and Aubert (2013) 329 Medical staff E-health system TAM Sun et al (2013) 204 Public E-health system TAM, TPB Tsai et al (2013) 101 Public E-health tool TAM Aldosari (2012) 89 Medical staff E-health system TAM Bhagya Lakshmi and Rajaram (2012) 465 Medical staff E-health system TAM Chen and Hsiao (2012) 81 Medical staff E-health system TAM Dünnebeil et al (2012) 117 Medical staff E-health system TAM Escobar- Rodríguez et al (2012) 209 Medical staff E-health tool TAM Hung and Jen (2012) 170 Public E-health system TAM 224 Medical staff E-health tool DTPB Ketikidis et al (2012) 133 Medical staff E-health system TAM Kim and Park (2012) 728 Public E-health system TAM 449 Patients E-health system TAM Kowalczyk (2012) 110 Medical staff E-health tool TAM2 Lu et al (2012) 277 Medical staff E-health system TAM Maass and Varshney (2012) 51 Public E-health system TAM, TPB Wirtz et al (2012) 502 Medical Staff E-health tool TAM Xue et al (2012) 700 Public E-health tool TAM Cudmore et al (2011) 192 Public E-health system TAM Dyball et al (2011) 48 Medical staff E-health system TAM Egea and González (2011) 254 Medical staff ...…”