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Acceptance Problems Of Ambient Intelligence And Mobile Technologies In Hospitals In India And Germany

Dimension Value
  • Type of the Research Result
  • Empirical Study
    • Observation Results
  • Current Status of Development
  • In Progress
    • With Pilot Application
  • Number of Cases
  • Not Specified
  • Functional Area
  • Supporting Processes
    • Technology Management
  • Company Size
  • Not Specified
  • Lifecycle Phase
  • Not Specified
  • Types of Customers of Value Bundles
  • Businesses
  • Industry Sector
  • Health Care, Veterinary Care and Welfare
  • Standardization
  • Not Specified

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 workprocesses, but their specific characteristics suggest such technologies also could be useful forsurveillance and subsequent control of employees. Until now, only little attention has focused onresolving such issues. On the basis of 16 in-depth interviews with medical staff from three Germanhospitals, this study identifies a reserved attitude and several acceptance problems amonginterviewees. The qualitative data indicate 10 hypotheses, tested using a questionnaire study of 215nurses in training from Germany and India. The investigation of the quantitative data relies on partialleast squares modeling to identify and categorise problems with user acceptance of ambientintelligence and mobile systems on various levels.

This research result was described by Sanja Tumbas (13. August 2011 - 9:00)
This research result was last edited by Sanja Tumbas (16. December 2011 - 19:02)

Further information

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