HEC Montréal

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.

Gender Diversity in Corporate Governance and Top Management

Abstract: This article examines whether and how the participation of women in the firm's board of directors and senior management enhances financial performance. We use the Fama and French (1992, 1993) valuation framework to take the level of risk into consideration, when comparing firm performances, whereas previous studies used either raw stock returns or accounting ratios. Our results indicate that firms operating in complex environments do generate positive and significant abnormal returns when they have a high proportion of women officers. Although the participation of women as directors does not seem to make a difference in this regard, firms with a high proportion of women in both their management and governance systems generate enough value to keep up with normal stock-market returns. These findings tend to support the policies currently being discussed or implemented in some countries and organizations to foster the advancement of women in business.

Why break the habit of a lifetime? rethinking the roles of intention, habit, and emotion in continuing information technology use

Abstract: One of the most welcome recent developments in Information Systems scholarship has been the growing interest in individuals' continuing use of information technology well after initial adoption, known in the literature as IT usage, IT continuance, and post-adoptive IT usage. In this essay, we explore the theoretical underpinnings of IS research on continuing IT use. Although the IS literature on continuing IT use emphasizes the role of habitual behavior that does not require conscious behavioral intention, it does so in a way that largely remains faithful to the theoretical tradition of planned behavior and reasoned action. However, a close reading of reference literatures on automatic behavior (behavior that is not consciously controlled) and the influences of emotion on behavior suggests that planned behavior and reasoned action may not provide the best theoretical foundation for the study of continuing IT use. As a result, we call for empirical research that directly compares and contrasts the consensus theory of continuing IT use with rival theories that place much greater emphasis on unplanned and unreasoned action.

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Abstract: Sequential data often possesses hierarchical structures with complex dependencies between sub-sequences, such as found between the utterances in a dialogue. To model these dependencies in a generative framework, we propose a neural network-based generative architecture, with stochastic latent variables that span a variable number of time steps. We apply the proposed model to the task of dialogue response generation and compare it with other recent neural-network architectures. We evaluate the model performance through a human evaluation study. The experiments demonstrate that our model improves upon recently proposed models and that the latent variables facilitate both the generation of meaningful, long and diverse responses and maintaining dialogue state.

The Dial-a-Ride Problem: Models and Algorithms

Abstract: The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for n users who specify pickup and delivery requests between origins and destinations. The aim is to plan a set of m minimum cost vehicle routes capable of accommodating as many users as possible, under a set of constraints. The most common example arises in door-to-door transportation for elderly or disabled people. The purpose of this article is to review the scientific literature on the DARP. The main features of the problem are described and a summary of the most important models and algorithms is provided.