@article{montreuil_closer_2020,

title = {A closer look at determinants of organizational capability to innovate (OCI) : A dynamic capabilities perspective},

author = {V. -L. Montreuil and M. Lauzier and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082182243&doi=10.1108%2fEJIM-05-2019-0127&partnerID=40&md5=6774cf21a4164f9471dc5cbd7db5c89a},

doi = {10.1108/EJIM-05-2019-0127},

issn = {14601060 (ISSN)},

year  = {2020},

date = {2020-01-01},

journal = {European Journal of Innovation Management},

volume = {24},

number = {3},

pages = {820–847},

publisher = {Emerald Group Holdings Ltd.},

abstract = {Purpose: The purpose of this paper is to provide a portrait of the main managerial and organizational determinants of organizational capability to innovate (OCI). Despite its importance, research on the subject seems limited, and little attempt has been made, over the years, to offer an in-depth and simultaneous analysis of these particular determinants, as well as an exploration of the underlying and complex mechanisms explaining their relationships to OCI. Design/methodology/approach: A systematic review of articles published between 1991 and 2018 was conducted in ProQuest (ABI/INFORM Collection) and Scopus databases. A total of 64 articles were selected and analysed through the use of a coding grid. Findings: Results highlight five key OCI determinants, namely: leadership, support, communication, culture, and learning. By using the dynamic capabilities theory (DCT) as a framework, this research suggests ways to better understand the dynamic action of these determinants as well as their contributions to OCI. Findings also suggest that OCI should be defined at the confluence of three perspectives (human, procedural and environmental aspects) to embrace the multiple facets of this complex construct. Proposals for future research are provided on how OCI can be better examined. Originality/value: This research helps to understand the five core determinants through an integrated and holistic view and represents the first attempt to systematically analyse the scientific literature on OCI through the DCT lens. © 2020, Emerald Publishing Limited.},

note = {Publisher: Emerald Group Holdings Ltd.},

keywords = {Communication, Culture, Leadership, Learning, Organizational capability to innovate, Support},

pubstate = {published},

tppubtype = {article}

}

@article{montreuilCloserLookDeterminants2020,

title = {A closer look at determinants of organizational capability to innovate (OCI) : A dynamic capabilities perspective},

author = {V. -L. Montreuil and M. Lauzier and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082182243&doi=10.1108%2fEJIM-05-2019-0127&partnerID=40&md5=6774cf21a4164f9471dc5cbd7db5c89a},

doi = {10.1108/EJIM-05-2019-0127},

issn = {14601060 (ISSN)},

year  = {2020},

date = {2020-01-01},

journal = {European Journal of Innovation Management},

volume = {24},

number = {3},

pages = {820–847},

publisher = {Emerald Group Holdings Ltd.},

abstract = {Purpose: The purpose of this paper is to provide a portrait of the main managerial and organizational determinants of organizational capability to innovate (OCI). Despite its importance, research on the subject seems limited, and little attempt has been made, over the years, to offer an in-depth and simultaneous analysis of these particular determinants, as well as an exploration of the underlying and complex mechanisms explaining their relationships to OCI. Design/methodology/approach: A systematic review of articles published between 1991 and 2018 was conducted in ProQuest (ABI/INFORM Collection) and Scopus databases. A total of 64 articles were selected and analysed through the use of a coding grid. Findings: Results highlight five key OCI determinants, namely: leadership, support, communication, culture, and learning. By using the dynamic capabilities theory (DCT) as a framework, this research suggests ways to better understand the dynamic action of these determinants as well as their contributions to OCI. Findings also suggest that OCI should be defined at the confluence of three perspectives (human, procedural and environmental aspects) to embrace the multiple facets of this complex construct. Proposals for future research are provided on how OCI can be better examined. Originality/value: This research helps to understand the five core determinants through an integrated and holistic view and represents the first attempt to systematically analyse the scientific literature on OCI through the DCT lens. © 2020, Emerald Publishing Limited.},

keywords = {Communication, Culture, Leadership, Learning, Organizational capability to innovate, Support},

pubstate = {published},

tppubtype = {article}

}

@article{ouyed_feature_2018,

title = {Feature weighting for multinomial kernel logistic regression and application to action recognition},

author = {O. Ouyed and M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035104467&doi=10.1016%2fj.neucom.2017.10.024&partnerID=40&md5=09687b392a405be4338799a750932cf3},

doi = {10.1016/j.neucom.2017.10.024},

issn = {09252312},

year  = {2018},

date = {2018-01-01},

journal = {Neurocomputing},

volume = {275},

pages = {1752–1768},

publisher = {Elsevier B.V.},

abstract = {Multinominal kernel logistic regression (MKLR) is a supervised classification method designed for separating classes with non-linear boundaries. However, it relies on the assumption that all features are equally important, which may decrease classification performance when dealing with high-dimensional and noisy data. We propose an approach for embedding feature relevance in multinomial kernel logistic regression. Our approach, coined fr-MKLR, generalizes MKLR by introducing a feature weighting scheme in the Gaussian kernel and using the so-called ℓ0-“norm” as sparsity-promoting regularization. Therefore, the contribution of each feature is tuned according to its relevance for classification which leads to more generalizable and interpretable sparse models for classification. Application of our approach to several standard datasets and video action recognition has provided very promising results compared to other methods. © 2017 Elsevier B.V.},

note = {Publisher: Elsevier B.V.},

keywords = {Action recognition, article, Classification, classification algorithm, Classification performance, Computer applications, controlled study, embedding, Feature relevance, feature relevance for multinomial kernel logistic regression, Feature weighting, Kernel logistic regression, kernel method, Learning, mathematical computing, Multinomial kernels, multinominal kernel logistic regression, Neural networks, priority journal, recognition, regression analysis, simulation, sparse modeling, Sparse models, sparse multinomial logistic regression, sparsity promoting regularization, standard, Supervised classification},

pubstate = {published},

tppubtype = {article}

}

@article{ouyedFeatureWeightingMultinomial2018,

title = {Feature weighting for multinomial kernel logistic regression and application to action recognition},

author = {O. Ouyed and M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035104467&doi=10.1016%2fj.neucom.2017.10.024&partnerID=40&md5=09687b392a405be4338799a750932cf3},

doi = {10.1016/j.neucom.2017.10.024},

issn = {09252312},

year  = {2018},

date = {2018-01-01},

journal = {Neurocomputing},

volume = {275},

pages = {1752–1768},

publisher = {Elsevier B.V.},

abstract = {Multinominal kernel logistic regression (MKLR) is a supervised classification method designed for separating classes with non-linear boundaries. However, it relies on the assumption that all features are equally important, which may decrease classification performance when dealing with high-dimensional and noisy data. We propose an approach for embedding feature relevance in multinomial kernel logistic regression. Our approach, coined fr-MKLR, generalizes MKLR by introducing a feature weighting scheme in the Gaussian kernel and using the so-called ℓ0-“norm” as sparsity-promoting regularization. Therefore, the contribution of each feature is tuned according to its relevance for classification which leads to more generalizable and interpretable sparse models for classification. Application of our approach to several standard datasets and video action recognition has provided very promising results compared to other methods. © 2017 Elsevier B.V.},

keywords = {Action recognition, article, Classification, classification algorithm, Classification performance, Computer applications, controlled study, embedding, Feature relevance, feature relevance for multinomial kernel logistic regression, Feature weighting, Kernel logistic regression, kernel method, Learning, mathematical computing, Multinomial kernels, multinominal kernel logistic regression, Neural networks, priority journal, recognition, regression analysis, simulation, sparse modeling, Sparse models, sparse multinomial logistic regression, sparsity promoting regularization, standard, Supervised classification},

pubstate = {published},

tppubtype = {article}

}

@article{baus_sense_2010,

title = {The sense of olfaction: Its characteristics and its possible applications in virtual environments},

author = {O. Baus and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650054636&partnerID=40&md5=959d26e8022423056fe9a9345b5ba084},

issn = {17849934},

year  = {2010},

date = {2010-01-01},

journal = {Journal of Cyber Therapy and Rehabilitation},

volume = {3},

number = {1},

pages = {31–50},

abstract = {Virtual environments (VE) aim to reproduce life-like experiences, but despite indications that the olfactory sense plays a significant role in everyday life, the integration of olfactory stimuli in VEs is rare. The aim of this paper is to review the literature on olfaction and its potential applications in Virtual Reality (VR). Indications supporting the integration of odorants in VR include the privileged connections between the olfactory system and the brain regions involved in the processing of virtual stimuli used in clinical applications, as well as the interaction between odors, the other senses, and various psychological processes. Presently, smells are mostly integrated in VR applications for post-traumatic stress disorder and drug addiction, but further uses of odorants in VEs could include pain distraction, various training scenarios, such as emergency response and relaxation, and investigations of multi-sensory integration. ©Virtual Reality Medical Institute.},

keywords = {Arousal, article, brain region, conditioning, drug dependence, emotionality, human, Learning, leisure, Memory, mental function, neuroanatomy, odor, olfactory discrimination, olfactory system, pain assessment, posttraumatic stress disorder, sex difference, smelling, social interaction, virtual reality, visual stimulation},

pubstate = {published},

tppubtype = {article}

}

@article{bausSenseOlfactionIts2010,

title = {The sense of olfaction: Its characteristics and its possible applications in virtual environments},

author = {O. Baus and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650054636&partnerID=40&md5=959d26e8022423056fe9a9345b5ba084},

issn = {17849934},

year  = {2010},

date = {2010-01-01},

journal = {Journal of Cyber Therapy and Rehabilitation},

volume = {3},

number = {1},

pages = {31–50},

abstract = {Virtual environments (VE) aim to reproduce life-like experiences, but despite indications that the olfactory sense plays a significant role in everyday life, the integration of olfactory stimuli in VEs is rare. The aim of this paper is to review the literature on olfaction and its potential applications in Virtual Reality (VR). Indications supporting the integration of odorants in VR include the privileged connections between the olfactory system and the brain regions involved in the processing of virtual stimuli used in clinical applications, as well as the interaction between odors, the other senses, and various psychological processes. Presently, smells are mostly integrated in VR applications for post-traumatic stress disorder and drug addiction, but further uses of odorants in VEs could include pain distraction, various training scenarios, such as emergency response and relaxation, and investigations of multi-sensory integration. ©Virtual Reality Medical Institute.},

keywords = {Arousal, article, brain region, conditioning, drug dependence, emotionality, human, Learning, leisure, Memory, mental function, neuroanatomy, odor, olfactory discrimination, olfactory system, pain assessment, posttraumatic stress disorder, sex difference, smelling, social interaction, virtual reality, visual stimulation},

pubstate = {published},

tppubtype = {article}

}

@article{girard_crushing_2009,

title = {Crushing virtual cigarettes reduces tobacco addiction and treatment discontinuation},

author = {B. Girard and V. Turcotte and S. Bouchard and B. Girard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350096404&doi=10.1089%2fcpb.2009.0118&partnerID=40&md5=e5ea20a75a7e0112cd9c98666d32d438},

doi = {10.1089/cpb.2009.0118},

issn = {10949313 (ISSN)},

year  = {2009},

date = {2009-01-01},

journal = {Cyberpsychology and Behavior},

volume = {12},

number = {5},

pages = {477–483},

abstract = {Pilot studies revealed promising results regarding crushing virtual cigarettes to reduce tobacco addiction. In this study, 91 regular smokers were randomly assigned to two treatment conditions that differ only by the action performed in the virtual environment: crushing virtual cigarettes or grasping virtual balls. All participants also received minimal psychosocial support from nurses during each of 12 visits to the clinic. An affordable virtual reality system was used (eMagin HMD) with a virtual environment created by modifying a 3D game. Results revealed that crushing virtual cigarettes during 4 weekly sessions led to a statistically significant reduction in nicotine addiction (assessed with the Fagerström test), abstinence rate (confirmed with exhaled carbon monoxide), and drop-out rate from the 12-week psychosocial minimal-support treatment program. Increased retention in the program is discussed as a potential explanation for treatment success, and hypotheses are raised about self-efficacy, motivation, and learning. © Copyright 2009, Mary Ann Liebert, Inc. 2009.},

keywords = {Adolescent, adult, aged, analysis of variance, article, behavior therapy, cigarette smoking, Computer Simulation, Computer-Assisted, controlled study, female, game, human, Humans, Learning, major clinical study, male, Middle Aged, motivation, Patient Compliance, Pilot Projects, pilot study, psychosocial care, Self Concept, Smoking Cessation, Therapy, tobacco dependence, Tobacco Use Disorder, treatment outcome, treatment withdrawal, User-Computer Interface, virtual reality, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{warren_target-distractor_2009,

title = {Target-distractor interference in the attentional blink implicates the locus coeruleus-norepinephrine system},

author = {C. M. Warren and A. T. Breuer and J. Kantner and D. Fiset and C. Blais and M. E. J. Masson},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-74849134787&doi=10.3758%2fPBR.16.6.1106&partnerID=40&md5=dedfbcb0f338038cbcaedefcbc9d184f},

doi = {10.3758/PBR.16.6.1106},

issn = {10699384},

year  = {2009},

date = {2009-01-01},

journal = {Psychonomic Bulletin and Review},

volume = {16},

number = {6},

pages = {1106–1111},

abstract = {We provide evidence that the locus coeruleus-norephinephrine (LC-NE) system is the neurophysiological basis of the attentional blink. The attentional blink refers to decreased accuracy for reporting the second of two targets in a rapid serial visual presentation of distractors. The LC-NE account of the attentional blink posits that targets elicit a facilitative LC-NE system response that is available for the first target but subsequently unavailable to the second, due to the autoinhibitory nature of the LC-NE system. We propose a modification of the LC-NE account, suggesting that the LC-NE system response is elicited by interference between mutually exclusive responses demanded by temporally proximal targets and distractors. We increased the interference between the first target and the following distractor by reducing the time between them. For identifying the second target this high-interference condition yielded a benefit up to 200 msec after onset of the first, followed by a decrease in accuracy. Consistent with our modification of the LC-NE account, this result suggests a temporarily enhanced LC-NE system response to increased target-distractor interference. © 2009 The Psychonomic Society, Inc.},

keywords = {article, Attentional Blink, human, Humans, Learning, locus ceruleus, Locus Coeruleus, Memory, Models, noradrenalin, Norepinephrine, Pattern Recognition, perception, Perceptual Masking, physiology, Psychological, psychological model, Psychophysics, reaction time, Serial Learning, short term memory, Short-Term, Visual},

pubstate = {published},

tppubtype = {article}

}