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Lost horizons: The noncooperative management of an evolutionary biological system
Goeschl, Timo; Swanson, Timothy M. - 2002
the background of pathogen evolution. We show that a multi-firm industry operating under an IPR-based incentive mechanism …
Persistent link: https://www.econbiz.de/10011335747
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Lost horizons : the noncooperative management of an evolutionary biological system
Goeschl, Timo; Swanson, Timothy M. - 2002
the background of pathogen evolution. We show that a multi-firm industry operating under an IPR-based incentive mechanism …
Persistent link: https://www.econbiz.de/10011597824
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Globalisation of Knowledge Production and Regional Innovation Policy: Supporting Specialized Hubs in the Bangalore Software Industry
Chaminade, Cristina; Vang-Lauridsen, Jan - Centre for Innovation, Research and Competence in the … - 2008
reducing this omission by analyzing the co-evolution of the strategies of indigenous SMEs and the regional innovation system of …
Persistent link: https://www.econbiz.de/10005077265
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Marketing faculty of Bucharest Economic Studies University: historic landmarks, present and future developments
Vegheş, Călin Petrică; Dumitru, Ionel; Popescu, … - In: Amfiteatru Economic Journal 15 (2013) 34, pp. 544-558
This paper aims to present the main events that left their mark on the history and evolution of the Marketing Faculty …
Persistent link: https://www.econbiz.de/10011724825
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Global power shifts and the future of democracy: An evolutionary approach, with special attention to China
Owen, John M. - 2016
general questions concerning the regional and global waxing and waning of domestic regime types. Evolution's claims about the … co-evolution and niche construction are crucial: an agent may modify its environment such that one or more traits of that … agent enjoy a greater reproductive advantage. Agency, then, may be not an escape from evolution but a participation in co-evolution …
Persistent link: https://www.econbiz.de/10011596791
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Global power shifts and the future of democracy : an evolutionary approach, with special attention to China
Owen, John M. - 2016
general questions concerning the regional and global waxing and waning of domestic regime types. Evolution's claims about the … co-evolution and niche construction are crucial: an agent may modify its environment such that one or more traits of that … agent enjoy a greater reproductive advantage. Agency, then, may be not an escape from evolution but a participation in co-evolution …
Persistent link: https://www.econbiz.de/10011590640
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Strategies for Successful Implementation of Innovation
Baporikar, Neeta - In: International Journal of Innovation in the Digital … 8 (2017) 2, pp. 16-28
Innovations are vital to most organizations especially in this competitive and globalized scenario. Nevertheless, the results of innovations are in many cases far from satisfactory. Several studies have shown that an organization's failure to benefit from an adopted innovation can often be...
Persistent link: https://www.econbiz.de/10012045452
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What is the Impact of Mobility Data Integration on Decision Support Systems' Modelling and Evolution?
Azaiez, Noura; Akaichi, Jalel - In: International Journal of Information Systems in the … 8 (2016) 1, pp. 1-12
proposes a survey that gathers the research works that deal with the issue of trajectory data warehouse modelling and evolution …
Persistent link: https://www.econbiz.de/10012045841
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Qualitative Evaluation of IoT-Driven eHealth: KM, Business Models, Deployment and Evolution
Lokshina, Izabella V.; Lanting, Cees J.M. - In: International Journal of Interdisciplinary … 10 (2018) 4, pp. 26-45
This article explains that eHealth has major potential, and its adoption may be considered necessary to achieve increased ambulant and remote medical care, increased quality, reduced personnel needs, and reduced costs potential in healthcare. In this paper, the authors try to give a reasonable,...
Persistent link: https://www.econbiz.de/10012045984
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City Group Optimization: An Optimizer for Continuous Problems
Yang, Yijun; Duan, Haibin - In: International Journal of Swarm Intelligence Research (IJSIR) 7 (2016) 3, pp. 1-22
distribution of cities changes all the time. Urbanologists call the above phenomena as the evolution of city groups. In this paper …, the city group optimization algorithm is presented, which is based on urbanology and mimics the evolution of city groups …
Persistent link: https://www.econbiz.de/10012047836