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Generative Learning (generative + learning)
Selected AbstractsAdaptive and Generative Learning: Implications from Complexity TheoriesINTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS, Issue 2 2010Ricardo Chiva One of the most important classical typologies within the organizational learning literature is the distinction between adaptive and generative learning. However, the processes of these types of learning, particularly the latter, have not been widely analyzed and incorporated into the organizational learning process. This paper puts forward a new understanding of adaptive and generative learning within organizations, grounded in some ideas from complexity theories: mainly self-organization and implicate order. Adaptive learning involves any improvement or development of the explicate order through a process of self-organization. Self-organization is a self-referential process characterized by logical deductive reasoning, concentration, discussion and improvement. Generative learning involves any approach to the implicate order through a process of self-transcendence. Self-transcendence is a holo-organizational process characterized by intuition, attention, dialogue and inquiry. The main implications of the two types of learning for organizational learning are discussed. [source] Market Orientation, Generative Learning, Innovation Strategy and Business Performance Inter-Relationships in Bioscience FirmsJOURNAL OF MANAGEMENT STUDIES, Issue 8 2008Robert E. Morgan abstract We propose conceptual arguments to establish relationships between market orientation and generative learning and their respective impact on exploitative innovation strategy and explorative innovation strategy. We then consider the ambidextrous association between both forms of innovation strategy and business performance. This model is subject to an empirical test using data generated from 160 bioscience firms. Using structural equation modelling, two mutually exclusive paths are specified where market orientation leads to exploitative innovation strategy, while generative learning leads to explorative innovation strategy. We then find that the ambidexterity exhibited by firms in the form of exploitative innovation strategy and explorative innovation strategy significantly explains improvements in firms' business performance. Discussion is given to these findings and managerial implications are presented along with avenues for further research. [source] Adaptive and Generative Learning: Implications from Complexity TheoriesINTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS, Issue 2 2010Ricardo Chiva One of the most important classical typologies within the organizational learning literature is the distinction between adaptive and generative learning. However, the processes of these types of learning, particularly the latter, have not been widely analyzed and incorporated into the organizational learning process. This paper puts forward a new understanding of adaptive and generative learning within organizations, grounded in some ideas from complexity theories: mainly self-organization and implicate order. Adaptive learning involves any improvement or development of the explicate order through a process of self-organization. Self-organization is a self-referential process characterized by logical deductive reasoning, concentration, discussion and improvement. Generative learning involves any approach to the implicate order through a process of self-transcendence. Self-transcendence is a holo-organizational process characterized by intuition, attention, dialogue and inquiry. The main implications of the two types of learning for organizational learning are discussed. [source] Market Orientation, Generative Learning, Innovation Strategy and Business Performance Inter-Relationships in Bioscience FirmsJOURNAL OF MANAGEMENT STUDIES, Issue 8 2008Robert E. Morgan abstract We propose conceptual arguments to establish relationships between market orientation and generative learning and their respective impact on exploitative innovation strategy and explorative innovation strategy. We then consider the ambidextrous association between both forms of innovation strategy and business performance. This model is subject to an empirical test using data generated from 160 bioscience firms. Using structural equation modelling, two mutually exclusive paths are specified where market orientation leads to exploitative innovation strategy, while generative learning leads to explorative innovation strategy. We then find that the ambidexterity exhibited by firms in the form of exploitative innovation strategy and explorative innovation strategy significantly explains improvements in firms' business performance. Discussion is given to these findings and managerial implications are presented along with avenues for further research. [source] | ||||||||||