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Institution

HEC Montréal

EducationMontreal, Quebec, Canada
About: HEC Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Vehicle routing problem & Corporate governance. The organization has 1221 authors who have published 5708 publications receiving 196862 citations. The organization is also known as: Ecole des Hautes Etudes Commerciales de Montreal & HEC Montreal.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present the results of an experiment in which three different types of anti-piracy arguments were tested among 139 young adult consumers susceptible to engage in swapping music over the Internet.
Abstract: This article presents the results of an experiment in which three different types of anti-piracy arguments were tested among 139 young adult consumers susceptible to engage in swapping music over the Internet: (1) stressing the negative personal consequences of pirating music, (2) stressing the negative consequences for the artists, and (3) stressing the unethical nature of this behaviour. The psychological determinants of music piracy behaviour were modeled in part with (1991) Ajzen’s theory of planned behaviour. The results show that the intention to swap music on-line depended on one’s attitude toward music piracy, one’s perception that important others want that this behaviour be performed, and one’s perceived competency in doing so. In addition, having swapped music on-line in the past had a strong influence on one’s intention to do it again. Contrary to expectations, the anti-piracy arguments had no significant impact on the behavioural dynamics underlying on-line music piracy.

212 citations

Journal ArticleDOI
TL;DR: An integrative model is developed and an illustration from organizational institutionalism is provided to delineate how metaphors and scripts influence organizational theory production.
Abstract: We argue that three epistemic scripts of knowledge production—evolution, differentiation, and bricolage—underpin the production—that is, the conception and the presentation—of new organizational theories. Bricolage of concepts, empirical material, and metaphors enables the conception of new theories, whereas evolution and differentiation, carrying higher academic legitimacy, predominate in theory presentation. We develop an integrative model and provide an illustration from organizational institutionalism to delineate how metaphors and scripts influence organizational theory production.

210 citations

ReportDOI
TL;DR: In this paper, the authors developed a method to quantify the economic value of large-scale renewable energy and found that 20 percent solar would be welfare neutral, with solar installation costs of $1.52 per watt and carbon dioxide social costs of 39.00 per ton, not accounting for offset carbon dioxide.
Abstract: A key problem with solar energy is intermittency: solar generators produce only when the sun is shining, adding to social costs and requiring electricity system operators to reoptimize key decisions. We develop a method to quantify the economic value of large-scale renewable energy. We estimate the model for southeastern Arizona. Not accounting for offset carbon dioxide, we find social costs of $138.40 per megawatt hour for 20 percent solar generation, of which unforecastable intermittency accounts for $6.10 and intermittency overall for $46.00. With solar installation costs of $1.52 per watt and carbon dioxide social costs of $39.00 per ton, 20 percent solar would be welfare neutral.

210 citations

Proceedings Article
06 Sep 2019
TL;DR: A new graph convolutional neural network model is proposed for learning branch-and-bound variable selection policies, which leverages the natural variable-constraint bipartite graph representation of mixed-integer linear programs.
Abstract: Combinatorial optimization problems are typically tackled by the branch-and-bound paradigm. We propose a new graph convolutional neural network model for learning branch-and-bound variable selection policies, which leverages the natural variable-constraint bipartite graph representation of mixed-integer linear programs. We train our model via imitation learning from the strong branching expert rule, and demonstrate on a series of hard problems that our approach produces policies that improve upon state-of-the-art machine-learning methods for branching and generalize to instances significantly larger than seen during training. Moreover, we improve for the first time over expert-designed branching rules implemented in a state-of-the-art solver on large problems. Code for reproducing all the experiments can be found at https://github.com/ds4dm/learn2branch.

209 citations

Journal ArticleDOI
Sophie Tessier1
TL;DR: This article argues that a combination narrative should be considered where combination is better than substitution, and two technological tools are presented as a way to increase the effectiveness, efficiency, and economy of qualitative data management.
Abstract: For researchers doing qualitative research, interviews are a commonly used method Data collected through interviews can be recorded through field notes, transcripts, or tape recordings In the literature, there is a debate regarding which of these recording methods should be used There are issues of reliability, cost (time and money), loss of data, among others Technology plays a pivotal role in this debate Indeed, new technologies (eg, direct coding) are often seen as potential replacements for older technologies (eg, transcripts), which leads to a debate that is based on an evolution narrative (from field notes, to transcripts, to working from tape recordings) This article argues that a combination narrative should be considered where combination is better than substitution Moreover, combining the advantages of field notes, transcripts, and working from tape recordings without accumulating each method’s disadvantages is possible because of new technology To support this argument, two technological tools (OneNote and Smartpen) are presented as a way to increase the effectiveness, efficiency, and economy of qualitative data management

208 citations


Authors

Showing all 1262 results

NameH-indexPapersCitations
Danny Miller13351271238
Gilbert Laporte12873062608
Michael Pollak11466357793
Yong Yu7852326956
Pierre Hansen7857532505
Jean-François Cordeau7120819310
Robert A. Jarrow6535624295
Jacques Desrosiers6317315926
François Soumis6129014272
Nenad Mladenović5432019182
Massimo Caccia5238916007
Guy Desaulniers512428836
Ann Langley5016115675
Jean-Charles Chebat481619062
Georges Dionne484217838
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202267
2021443
2020378
2019326
2018313