Innovation diffusion models expressing asymmetry and/or positively or negatively influencing forces |
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| Authors: | Christos H Skiadas |
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| Institution: | 1. Department of Mechanical Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan;2. Division of Energy and Environmental Engineering, Institute of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan;1. Wagga Wagga Rural Referral Hospital, NSW, Australia;2. Faculty of Medicine, University of New South Wales, NSW, Australia;3. School of Medicine, University of Wollongong, NSW, Australia;4. University of Notre Dame Australia, School of Medicine Sydney, Australia;5. Caboolture Hospital, QLD, Australia;6. John Hunter Hospital, NSW, Australia;1. University of Zaragoza, María de Luna 5, 50018 Zaragoza, Spain;2. Research Centre for Energy Resources and Consumption (CIRCE), CIRCE Building – Campus Río Ebro, Mariano Esquillor Gómez 15, 50018 Zaragoza, Spain;1. School of Mechanical Engineering, Pusan National University, Busan, 46241, Republic of Korea;2. Department of Clean Fuel and Power Generation, Korea Institute of Machinery & Materials (KIMM), Daejeon, 34103, Republic of Korea;3. Department of Mechanical Engineering and Science, Kyoto University, Kyoto, 615-8540, Japan;4. New Business Department, Korea East-West Power Co., Ltd., Ulsan, 44782, Republic of Korea;5. Department of Energy & Mechanical Engineering, Gyeongsang National University, Gyeongsangnam-do, 53064, Republic of Korea;1. School of Mechanical Engineering, Pusan Nat’l University, Busan 609-735, Republic of Korea;2. Pusan Clean Coal Center, Pusan Nat’l University, Busan 609-735, Republic of Korea;3. School of Mechanical Engineering, Pusan Clean Coal Center, Pusan Nat’l University, Busan 609-735, Republic of Korea |
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| Abstract: | Two different characteristics of the innovation diffusion process, that is, the asymmetry and the appearance of positively or negatively influencing forces, are analyzed. Related diffusion models in use are presented and new generalized models are formulated. A five-parameter model is proposed in order to cover the above two different characteristics of innovation diffusion. The properties of this model and other related diffusion models are examined and the appropriate iterative nonlinear regression analysis technique is developed. Five comparative applications follow, predictions are made, as are comparisons between two generalized models—GRM1 and Von Bertalanffy—that express asymmetric diffusion behavior. |
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