Acceptance problems of ambient intelligence and mobile technologies in hospitals in India and Germany

Kummer, Tyge-F. and Bick, Markus and Gururajan, Raj (2009) Acceptance problems of ambient intelligence and mobile technologies in hospitals in India and Germany. In: ECIS 2009: 17th European Conference on Information Systems , 8-10 Jun 2009, Verona, Italy.

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Abstract

Ambient intelligence systems facilitate job performance by medical staff in health care services. Several papers detail scenarios in which these technologies may support clinicians in their daily work processes, but their specific characteristics suggest such technologies also could be useful for surveillance and subsequent control of employees. Until now, only little attention has focused on resolving such issues. On the basis of 16 in-depth interviews with medical staff from three German hospitals, this study identifies a reserved attitude and several acceptance problems among interviewees. The qualitative data indicate 10 hypotheses, tested using a questionnaire study of 215 nurses in training from Germany and India. The investigation of the quantitative data relies on partial least squares modeling to identify and categorise problems with user acceptance of ambient intelligence and mobile systems on various levels. The results of this mixed methods study mainly indicate that German participants assess ambient intelligence much more critically. Consequently, specific strategies for implementing such technologies should be adopted.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions.
Depositing User: Assoc Prof Raj Gururajan
Faculty / Department / School: Historic - Faculty of Business - School of Information Systems
Date Deposited: 04 Aug 2010 05:05
Last Modified: 18 Jul 2014 04:11
Uncontrolled Keywords: acceptance problems; ambient intelligence; mobile technologies; partial least squares (PLS) modeling; user acceptance; e-health; ubiquitous systems; technology acceptance model (TAM)
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/7028

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