The Experts below are selected from a list of 112806 Experts worldwide ranked by ideXlab platform
Manuel Becerra - One of the best experts on this subject based on the ideXlab platform.
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transfers of tacit vs Explicit Knowledge and performance in international joint ventures the role of age
International Business Review, 2015Co-Authors: Chansoo Park, Ilan Vertinsky, Manuel BecerraAbstract:This paper studies the transfer of tacit and Explicit Knowledge from foreign parents to international joint ventures (IJVs) and the impact of these two types of Knowledge transfers on the performance of young and mature IJVs. We estimate a structural equation model using survey data from 334 Korean joint ventures and find support for our hypotheses regarding IJV age, Knowledge transfers, and performance. Our results show that IJV age is positively associated with the transfer of tacit Knowledge, but not with the transfer of Explicit Knowledge. In contrast, the transfer of tacit Knowledge has a significant impact on the performance of both young and mature IJVs, while the transfer of Explicit Knowledge only has a significant effect on the performance of mature IJVs. These results confirm the important role of IJV age as a driver of Knowledge transfers in IJVs, and as a moderator of their effects on performance.
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trustworthiness risk and the transfer of tacit and Explicit Knowledge between alliance partners
Journal of Management Studies, 2008Co-Authors: Manuel Becerra, Randi Lunnan, Lars HuemerAbstract:The transfer of Knowledge in alliances entails risk to partners, whose willingness to accept it presumably relies on the trustworthiness that they perceive in their partners. We investigate the extent to which the perceptions of trustworthiness and the willingness to take risk determine the transfer of Knowledge between alliance partners and their ultimate impact on alliance success. The results show that the transfer of tacit versus Explicit Knowledge have very different trust and risk profiles. Whereas Explicit Knowledge is closely associated with the firm's willingness to take risk, tacit Knowledge is intimately related to high trustworthiness. The results support the important role of trust and the transfer of tacit Knowledge on the success of learning alliances.
Paul J Reber - One of the best experts on this subject based on the ideXlab platform.
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performing the unexplainable implicit task performance reveals individually reliable sequence learning without Explicit Knowledge
Psychonomic Bulletin & Review, 2010Co-Authors: Daniel J Sanchez, Eric W Gobel, Paul J ReberAbstract:Memory-impaired patients express intact implicit perceptual-motor sequence learning, but it has been difficult to obtain a similarly clear dissociation in healthy participants. When Explicit memory is intact, participants acquire some Explicit Knowledge and performance improvements from implicit learning may be subtle. Therefore, it is difficult to determine whether performance exceeds what could be expected on the basis of the concomitant Explicit Knowledge. Using a challenging new sequence-learning task, robust implicit learning was found in healthy participants with virtually no associated Explicit Knowledge. Participants trained on a repeating sequence that was selected randomly from a set of five. On a performance test of all five sequences, performance was best on the trained sequence, and two-thirds of the participants exhibited individually reliable improvement (by chi-square analysis). Participants could not reliably indicate which sequence had been trained by either recognition or recall. Only by expressing their Knowledge via performance were participants able to indicate which sequence they had learned.
Giovanni Soda - One of the best experts on this subject based on the ideXlab platform.
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Unified integration of Explicit Knowledge and learning by example in recurrent networks
IEEE Transactions on Knowledge and Data Engineering, 1995Co-Authors: Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni SodaAbstract:Proposes a novel unified approach for integrating Explicit Knowledge and learning by example in recurrent networks. The Explicit Knowledge is represented by automaton rules, which are directly injected into the connections of a network. This can be accomplished by using a technique based on linear programming, instead of learning from random initial weights. Learning is conceived as a refinement process and is mainly responsible for uncertain information management. We present preliminary results for problems of automatic speech recognition. >
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An unified approach for integrating Explicit Knowledge and learning by example in recurrent networks
IJCNN-91-Seattle International Joint Conference on Neural Networks, 1Co-Authors: Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni SodaAbstract:The authors propose a novel unified approach for integrating Explicit Knowledge and learning by example in recurrent networks. The hypothesis is that for a model to be effective, this integration should be as uniform as possible. The authors propose an architecture composed of two cooperating subnets. The first one is designed in order to inject the available Explicit Knowledge, whereas the second one is learned to allow management of uncertain information. Learning is conceived as a refinement process. The authors report preliminary results for a problem of isolated word recognition to evaluate the proposed model in practice. >
Lars Huemer - One of the best experts on this subject based on the ideXlab platform.
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trustworthiness risk and the transfer of tacit and Explicit Knowledge between alliance partners
Journal of Management Studies, 2008Co-Authors: Manuel Becerra, Randi Lunnan, Lars HuemerAbstract:The transfer of Knowledge in alliances entails risk to partners, whose willingness to accept it presumably relies on the trustworthiness that they perceive in their partners. We investigate the extent to which the perceptions of trustworthiness and the willingness to take risk determine the transfer of Knowledge between alliance partners and their ultimate impact on alliance success. The results show that the transfer of tacit versus Explicit Knowledge have very different trust and risk profiles. Whereas Explicit Knowledge is closely associated with the firm's willingness to take risk, tacit Knowledge is intimately related to high trustworthiness. The results support the important role of trust and the transfer of tacit Knowledge on the success of learning alliances.
Tim Curran - One of the best experts on this subject based on the ideXlab platform.
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Effects of aging on implicit sequence learning: Accounting for sequence structure and Explicit Knowledge
Psychological Research, 1997Co-Authors: Tim CurranAbstract:The present research was intended to examine the sequence learning ability of elderly people — with a focus on comparing sequences with different structural characteristics and on properly assessing Explicit Knowledge. Experiment 1 showed that learning-related improvements in serial reaction time task performance were greater for young than elderly subjects, and elderly subjects were especially poor at learning a sequence with complex structural characteristics. Measures of recognition memory showed that neither young nor elderly subjects showed above-chance Explicit Knowledge of the sequences. Experiment 2 was designed to test the validity and sensitivity of the Explicit recognition measures by comparing young subjects in groups given all random trials, given sequence trials with implicit instructions, or given sequence trials with Explicit instructions. Experiment 2 confirmed the sensitivity of the recognition measures to Explicit Knowledge, so it is concluded that group effects in Exp. 1 reflect age-related differences in implicit learning.
