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Yu Ma article selected as a finalist 2019 Paul E. Green Award

Congratulations to Yu Ma, Associate Professor of Marketing and Bensadoun Scholar,  whose article “The Club Store Effect: Impact of Shopping in Warehouse Club Stores on Consumers' Packaged Food Purchases” has been selected as one of four finalists for the Journal of Marketing Research’s 2019 Paul E. Green Award

The Paul E. Green Award recognizes the best article in the Journal of Marketing Research within the last calendar year that demonstrates the most potential to contribute significantly to the practice of marketing research.

Publication: Journal of Marketing Research, Vol. 55, No. 2, April 2018

Authors: Kusum L. Ailawadi, Yu Ma and Dhruv Grewal

This article studies the impact of shopping at the warehouse club format on households' packaged food-for-home purchases. In addition to low prices, this format has several unique characteristics that can influence packaged food purchases. The empirical analysis uses a combination of households' longitudinal grocery purchase information, rich survey data, and detailed item-level nutrition information. After accounting for selection on observables and unobservables, the authors find a substantial increase in the total quantity (servings per capita) of purchases attributable to shopping at this format. Because there is no effect on quality of purchases, this translates into a substantial increase in calories, sugar, and saturated fat per capita. The increase comes primarily from storable and impulse foods and it is drawn equally from foods that have positive and negative health halos. The results have important implications for how marketers can create win–win opportunities for themselves and for consumers.

Published: 24 Apr 2019

Collective Information System Use: A Typological Theory

Authors: Bogdan Negoita, Liette Lapointe and Suzanne Rivard

Publication: MIS Quarterly, Vol. 42 Issue 4, 1281-1301, 2018

Abstract:

As the nature of information systems (IS) has evolved from primarily standalone, to enterprise, and distributed applications, the need for a better understanding of collective IS use has become a research and practical necessity. In view of contributing to this understanding, we conceptually define collective IS use as a unit level construct, rooted in instances of individual-level IS use within the context of a common work process. Its emergence from the individual to the unit level is shaped by different configurations of task, user, and system interdependence between instances of individual-level IS use. On the basis of this definition, we propose a typology of collective IS use that comprises four ideal types, namely siloed use, processual use, coalesced use, and networked use. For each ideal type, we theorize on the emergence process from the individual to the unit level and we consider the measurement implications for each.

Published: 23 Apr 2019

Cross-Listings and the Dynamics between Credit and Equity Returns

Authors: Patrick Augustin, Feng Jiao, Sergei Sarkissian, and Michael J. Schill

Publication: The Review of Financial Studies, Forthcoming

Abstract:

Published: 23 Apr 2019

Elena Obukhova awarded 2018 SSHRC Insight Development Grant

Congratulations to Elena Obukhova, Assistant Professor in Strategy & Organization awarded 2018 SSHRC Insight Development Grant “Gender and job information sharing through social contacts: A comparative study of the U.S. and China”.

Published: 23 Apr 2019

Kwangjun An awarded 2018 SSHRC Insight Development Grant

Congratulations to Kwangjun An, Assistant Professor in Strategy & Organization, awarded 2018 SSHRC Insight Development Grant “Assessing the Role and Efficacy of Market Intermediaries: Law Firms as Brokers Between Startups and Venture Capital Firms”.

Published: 23 Apr 2019

Network Recruitment and the Glass Ceiling: Evidence from Two Firms

Authors: Roberto M. Fernandez and Brian Rubineau

Publication: RSF: The Russell Sage Foundation Journal of the Social Sciences, March 2019, Vol. 5, Issue 3, 88-102

Abstract:

Published: 23 Apr 2019

Dongyoung Lee, Jingjing Zhang and Hongping Tan awarded 2018 SSHRC Connection Grant

Congratulations to Dongyoung Lee, Assistant Professor in Accounting, Jingjing Zhang, Assistant Professor in Accounting, and Hongping Tan, Associate Professor in Accounting, awarded 2018 SSHRC Connection Grant - 2019 Financial Accounting Research Conference: “Ac

Published: 15 Apr 2019

Low-complexity method for hybrid MPC with local optimality guarantees

Authors: Damian Frick, Angelos Georghiou, Juan L. Jerez, Alexander Domahidi, and Manfred Morari

Publication: SIAM Journal on Control and Optimization, Forthcoming

Abstract: 

Published: 10 Apr 2019

A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization

Authors: Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann

Publication: Operations Research, Forthcoming

Abstract: 

Two-stage robust optimization problems, in which decisions are taken both in anticipation of and in response to the observation of an unknown parameter vector from within an uncertainty set, are notoriously challenging. In this paper, we develop convergent hierarchies of primal (conservative) and dual (progressive) bounds for these problems that trade off the competing goals of tractability and optimality: While the coarsest bounds recover a tractable but suboptimal affine decision rule approximation of the two-stage robust optimization problem, the refined bounds lift extreme points of the uncertainty set until an exact but intractable extreme point reformulation of the problem is obtained. Based on these bounds, we propose a primal-dual lifting scheme for the solution of two-stage robust optimization problems that accommodates for generic polyhedral uncertainty sets, infeasible problem instances as well as the absence of a relatively complete recourse. The incumbent solutions in each step of our algorithm afford rigorous error bounds, and they can be interpreted as piecewise affine decision rules. We illustrate the performance of our algorithm on illustrative examples and on an inventory management problem.

Published: 28 Mar 2019

Performance guarantees for model-based Approximate Dynamic Programming in continuous spaces

Authors: Paul N. Beuchat, Angelos Georghiou, and John Lygeros

Publication: IEEE Transactions on Automatic Control, Forthcoming

Abstract: 

Published: 11 Mar 2019

Evaluation of the allocation performance in a fashion retail chain using data envelopment analysis

Authors: He Huang, Shanling Li & Yu Yu

Publication: The Journal of The Textile Institute, Forthcoming

Abstract: 

Published: 4 Mar 2019

Multi-behavioral obesogenic phenotypes among school-aged boys and girls along the birth weight continuum

Authors: Andre Krumel Portella, Catherine Paquet, Adrianne Rahde Bischoff, Roberta Dalle Molle, Aida Faber, Spencer Moore, Narendra Arora, Robert Levitan, Patricia Pelufo Silveira, Laurette Dubé

Publication: PLoS ONE, 14(2): February 2019, e0212290

Abstract:

Published: 4 Mar 2019

Professor Ramaprasad appointed Associate Editor of Management Science

Jui Ramaprasad, Associate Professor in Information Systems, was recently appointed as Associate Editor to Management Science.

Published: 22 Feb 2019

Pollution avoidance and green purchase: The role of moral emotions

Authors: Dapeng Liang, Chenxuan Hou, Myung-Soo Jo, and Emine Sarigollu

Publication: Journal of Cleaner Production, Volume 210, 10 February 2019, Pages 1301-1310

Abstract:

Published: 15 Feb 2019

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