Relationships between demographics, training, etc. in a DSS environment |
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Authors: | Cary T. Hughes |
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Affiliation: | 1. School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami, Hokkaido 090-8507, Japan;2. Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA;1. Ingine Inc., DE, USA;2. The Dirac Foundation, Oxfordshire, UK;1. SSD Women''s Institute of Technology, Comp. Sci. Department, Bathinda, Punjab, India;2. ECE Department, GNDU Regional Centre, Punjab, India;3. ECE Department, CGC Technical Campus, Jhenjeri, Punjab, India;1. Department of Epidemiology, University Medical Center Groningen, University of Groningen, The Netherlands;2. Evidera Ltd, London, United Kingdom;1. Department of Pharmacology, School of Medicine, Xi’an Jiaotong University, 76 West Yanta Road, Xi’an, 710061, PR China;2. Department of Public Health, Shaanxi University of Chinese Medicine, Xianyang City, 712046, PR China;1. Department of Surgery, The University of Melbourne, St Vincent’s Hospital, Melbourne, Australia;2. Department of Cardiothoracic Surgery, St Vincent’s Hospital, Melbourne, Australia;3. Department of Cancer Experiences Research, The Peter MacCallum Cancer Centre, Melbourne, Australia;4. The University of Queensland Thoracic Research Centre, The Prince Charles Hospital, Brisbane, Australia;5. Department of Anatomical Pathology, The University of Melbourne, St Vincent’s Hospital, Melbourne, Australia;6. Department of Respiratory Medicine and Sleep Medicine, St Vincent’s Hospital, Melbourne, Australia;7. Department of Medicine, The University of Melbourne, Melbourne, Australia;8. Department of Radiation Oncology, The Peter MacCallum Cancer Centre, Melbourne, Australia;9. Department of Oncology, The Peter MacCallum Cancer Centre, University of Melbourne, Parkville, Australia |
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Abstract: | New research findings are reported on the effect of demographics on certain attributes of managers' decision processes in relation to training received on a generator. A field case study was used to determine if the decision process attributes of time and alternatives generated were influenced by the demographic factors of age, sex, education, and previous programming experience. These factors were evaluated with training. Results indicated that demographics had little effect on decision process attributes in relation to training. Any differences that did exist were eliminated by training. |
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Keywords: | Decision process attributes Demographics generator Training |
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