Elena Obukhova awarded 2018 SSHRC Insight Development Grant
Congratulations to聽Elena Obukhova, Assistant Professor in Strategy & Organization awarded 2018 SSHRC Insight Development Grant 鈥淕ender and job information sharing through social contacts: A comparative study of the U.S. and China鈥.
Kwangjun An awarded 2018 SSHRC Insight Development Grant
Congratulations to聽Kwangjun An, Assistant Professor in Strategy & Organization, awarded 2018 SSHRC Insight Development Grant 鈥淎ssessing the Role and Efficacy of Market Intermediaries: Law Firms as Brokers Between Startups and Venture Capital Firms鈥.
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:
Dongyoung Lee, Jingjing Zhang and Hongping Tan awarded 2018 SSHRC Connection Grant
Congratulations to聽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: 鈥淎c
Low-complexity method for hybrid MPC with local optimality guarantees
Authors: Damian Frick, Angelos Georghiou, Juan L. Jerez, Alexander Domahidi, and Manfred Morari
Publication:聽SIAM Journal on Control and Optimization, Forthcoming
础产蝉迟谤补肠迟:听
A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization
Authors: Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann
Publication:聽Operations Research, Forthcoming
础产蝉迟谤补肠迟:听
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.
Performance guarantees for model-based Approximate Dynamic Programming in continuous spaces
Authors: Paul N. Beuchat, Angelos Georghiou, and John Lygeros
Publication:聽IEEE Transactions on Automatic Control, Forthcoming
础产蝉迟谤补肠迟:听
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
础产蝉迟谤补肠迟:听
Does social capital moderate the association between children's emotional overeating and parental stress? A cross-sectional study of the stress-buffering hypothesis in a sample of mother-child dyads
Authors: Jennifer Mandelbaum, Spencer Moore, Patricia P. Silveira, Michael J. Meaney, Robert D. Levitan, and聽Laurette Dub茅
Publication: Social Science and Medicine, Forthcoming
Abstract:
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 Dub茅
Publication: PLoS ONE, 14(2): February 2019, e0212290
Abstract:
Professor Ramaprasad appointed Associate Editor of Management Science
Jui Ramaprasad, Associate Professor in Information Systems, was recently appointed as Associate Editor to Management Science.
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:
Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform
Authors: Warut Khern-am-nuai, Karthik Kannan, Hossein Ghasemkhani
Publication: Information Systems Research, Forthcoming
础产蝉迟谤补肠迟:听
Firms have considered various forms of incentives for writing reviews, including the use of extrinsic rewards to attract reviewers. Building on this literature, we study the implications of monetary incentives on online reviews in the context of a natural experiment, where one review platform suddenly began offering monetary incentives for writing reviews. We refer to this as the treated platform. Along with data from Amazon.com and using the difference-in-differences approach, we compare the quantity and quality of reviews before and after rewards were introduced in the treated platform. We find that reviews are significantly more positive but that the quality decreases. Taking advantage of the panel data, we also evaluate the effect of rewards on existing reviewers. We find that their level of participation after monetary incentives decreases but not their quality of participation. Last, even though the platform enjoys an increase in the number of new reviewers, disproportionately more reviews appear to be written for highly rated products.
Read abstract: Information Systems Research
Developing a gamified mobile application to encourage sustainable energy use in the office
础耻迟丑辞谤蝉:听Divinus Oppong-Tawiah,聽Jane Webster, Sandy Staples, Ann-Frances Cameron, Ana Ortiz de Guinea, Tam Y. Hung
Publication: Journal of Business Research, Forthcoming
础产蝉迟谤补肠迟:听
The Decision Rule Approach to Optimization under Uncertainty: Methodology and Applications
础耻迟丑辞谤蝉:听Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann
Publication:聽Computational Management Science, Forthcoming
础产蝉迟谤补肠迟:听