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.

Chapter 6 Vehicle Routing

Abstract: Publisher Summary This chapter discusses some of the most important vehicle routing problem types. The vehicle routing problem lies at the heart of distribution management. It is faced each day by thousands of companies and organizations engaged in the delivery and collection of goods or people. Because conditions vary from one setting to the next, the objectives and constraints encountered in practice are highly variable. Most algorithmic research and software development in this area focus on a limited number of prototype problems. By building enough flexibility in optimization systems, these can be adapted to various practical contexts. The classical vehicle routing problem (VRP) is one of the most popular problems in combinatorial optimization, and its study has given rise to several exact and heuristic solution techniques of general applicability. The chapter presents a comprehensive overview of the available exact and heuristic algorithms for the VRP, most of which have been adapted to solve other variants.

“Work is my passion”: The different affective, behavioural, and cognitive consequences of harmonious and obsessive passion toward work

Abstract: This study applies the dualistic model of passion (Vallerand et al., 2003) to the work setting and examines the relationships between harmonious passion (characterized by a strong but controllable desire to engage in an activity), obsessive passion (characterized by an internal pressure to carry out an activity), and optimal functioning outcomes at work. Harmonious passion associated positively with: mental health; three elements of fl ow (i.e., concentration, control, and autotelic experience); vitality, and affective commitment. These relationships were partly mediated by satisfaction of the basic psychological needs of autonomy, competence, and relatedness. In contrast, obsessive passion directly and negatively predicted mental health and weakly but positively predicted autotelic experience. Theoretical and applied implications are discussed. Copyright ©2010 ASAC. Published by John Wiley & Sons, Ltd. JEL Classifi cation: D23

A Proposed Model of Online Consumer Behavior: Assessing the Role of Gender

Abstract: This research examined the influence of Internet experience and web atmospherics on consumer online behavior. It developed a model of web navigation behavior where these antecedent variables drove website exploratory behavior and website involvement, which in turn, drove site attitudes and pre-purchase evaluations. These relationships were tested and confirmed in the context of a pharmaceutical website. Further, men and women differed in web navigation behavior, with men engaging in less exploratory behavior and developing less website involvement than women. However, across the two sexes, entertainment, challenge, and effectiveness of information content were the key drivers of website attitudes. The findings provide several guidelines for online communication strategy.

Percentile Optimization for Markov Decision Processes with Parameter Uncertainty

Abstract: Markov decision processes are an effective tool in modeling decision making in uncertain dynamic environments. Because the parameters of these models typically are estimated from data or learned from experience, it is not surprising that the actual performance of a chosen strategy often differs significantly from the designer's initial expectations due to unavoidable modeling ambiguity. In this paper, we present a set of percentile criteria that are conceptually natural and representative of the trade-off between optimistic and pessimistic views of the question. We study the use of these criteria under different forms of uncertainty for both the rewards and the transitions. Some forms are shown to be efficiently solvable and others highly intractable. In each case, we outline solution concepts that take parametric uncertainty into account in the process of decision making.

A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version

Abstract: During the past decade, several areas of speech and language understanding have witnessed substantial breakthroughs from the use of data-driven models. In the area of dialogue systems, the trend is less obvious, and most practical systems are still built through significant engineering and expert knowledge. Nevertheless, several recent results suggest that data-driven approaches are feasible and quite promising. To facilitate research in this area, we have carried out a wide survey of publicly available datasets suitable for data-driven learning of dialogue systems. We discuss important characteristics of these datasets, how they can be used to learn diverse dialogue strategies, and their other potential uses. We also examine methods for transfer learning between datasets and the use of external knowledge. Finally, we discuss appropriate choice of evaluation metrics for the learning objective.