- Desautels research
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
Abstract:
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
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Developing a gamified mobile application to encourage sustainable energy use in the office
Authors: Divinus Oppong-Tawiah, Jane Webster, Sandy Staples, Ann-Frances Cameron, Ana Ortiz de Guinea, Tam Y. Hung
Publication: Journal of Business Research, Forthcoming
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The Decision Rule Approach to Optimization under Uncertainty: Methodology and Applications
Authors: Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann
Publication: Computational Management Science, Forthcoming
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...Robust Dual Dynamic Programming
Authors: Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann
Publication: Operations Research, Forthcoming
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Multi-stage robust optimization problems, where the decision maker can dynamically react to consecutively observed realizations of the uncertain problem parameters, pose formidable theoretical and computational challenges. As a result, the existing solution approaches for this problem class typically determine suboptimal solutions under restrictive assumptions. In this paper, we propose a robust dual dynamic programming (RDDP) scheme for multi-stage robust optimization problems. The RDDP scheme takes advantage of the decomposable nature of these problems by bounding the costs arising in the future stages through lower and upper cost to-go functions. For problems with uncertain technology matrices and/or constraint right-hand sides, our RDDP scheme determines an optimal solution in finite time. If also the objective function and/or the recourse matrices are uncertain, our method converges asymptotically (but deterministically) to an optimal solution. Our RDDP scheme does not require a relatively complete recourse, and it offers deterministic upper and lower bounds throughout the execution of the algorithm. We demonstrate the promising performance of our algorithm in a stylized inventory management problem.
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The Effects of Analyst‐Country Institutions on Biased Research: Evidence from Target Prices
Authors: Mark T. Bradshaw, Alan G. Huang, Hongping Tan
Publication: Journal of Accounting Research, Forthcoming
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Prior research demonstrates that a strong institutional infrastructure in a country moderates self‐serving behavior of market participants. Cross‐country economic activities have increased significantly, presenting a research opportunity to examine the relative influence of local versus foreign institutional infrastructure on individual market participants. We utilize variation in analyst‐country location relative to covered firm location to examine institutional determinants of optimism in analyst research. Focusing on target prices, where persistent optimism is well documented, we find that analysts domiciled in countries with stronger institutional infrastructures exhibit significantly attenuated target price optimism and more value‐relevant target prices. Our results demonstrate the importance of domestic country‐level institutional factors in moderating self‐serving behavior of market participants engaged in cross‐country activities.
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Optimizing Foreclosed Housing Acquisitions in Societal Response to Foreclosures
Authors: Senay Solak, Armagan Bayram, Mehmet Gumus, Yueran Zhuo
Publication: Operations Research, Forthcoming
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A dramatic increase in U.S. mortgage foreclosures during and after the great economic recession of 2007-2009 had devastating impacts on the society and the economy. In response to such negative impacts, non-profit community development corporations (CDCs) throughout the U.S. utilize various resources, such as grants and lines of credit, in acquiring and redeveloping foreclosed housing units to support neighborhood stabilization and revitalization. Given that the cost of all such acquisitions far exceeds the resources accessible by these non-profit organizations, we identify socially optimal policies for CDCs in dynamically selecting foreclosed properties to target for potential acquisition as they become available over time. We evaluate our analytical results in a numerical study involving a CDC serving a major city in the U.S, and specify social return based thresholds defining selection decisions at different funding levels. We also find that for most foreclosed properties CDCs should not offer more than the asking price, and should typically consider overbidding only when the total available budget is low. Overall, comparisons of optimal policies with historical acquisition data suggest a potential improvement of around 20% in expected total impacts of the acquisitions on nearby property values. Considering a CDC with annual fund availability of $4 million for investment, this corresponds to an estimated additional value of around $280,000 for the society.
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Synergistic, Antagonistic, and Asymmetric Media Interactions
Authors: Ceren Kolsarici, and Demetrios Vakratsas
Publication: Journal of Advertising, Vol. 47, No. 3, 2018
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A top paper nomination for Professor Hewlin
Professor Patricia Hewlin’s co-authored article entitled, “How do callings relate to job performance? The role of organizational commitment and ideological contract fulfillment,” was nominated by the editors of Human Relations as one of the top papers published in 2018.
...Protecting positioning innovations: the emergence of non-traditional trademark registrations
Authors: S. Mishra, Demetrios Vakratsas, and A. V. Krasnikov
Publication: Marketing Letters, Vol. 29, No. 3, September 2018
...Angelos Georghiou appointed Associate Editor of Energy Systems
Angelos Georghiou, Assistant Professor in Operations Management, was recently appointed Associate Editor of Energy Systems - Optimization, Modeling, Simulation, and Economic Aspects.
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Winning at a Losing Game? Side-Effects of Perceived Tournament Promotion Incentives in Audit Firms
Authors: Jorien Pruijssers, Pursey Pmar Heugens and Hans J. Van Oosterhout
Publication: Journal of Business Ethics, Forthcoming
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A Smart-City Scope of Operations Management
Authors: Wei Qi and Zuo-Jun Max Shen
Publication: Production and Operations Management, Forthcoming
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We are entering an era of great expectations towards our cities. The vision of “smart city” has been pursued worldwide to transform urban habitats into superior efficiency, quality and sustainability. This phenomenon prompts us to ponder what role the scholars in operations management (OM) can assume. In this essay, we express our initial thoughts on expanding OM to the smart-city scope. We review smart-city initiatives of governments, industry, national laboratories and academia. We argue that the smart-city movement will transition from the tech-oriented stage to the decision-oriented stage. Hence, a smart city can be perceived as a system scope within which planning and operational decisions are orchestrated at the urban scale, reflective of multidimensional needs, and adaptive to massive data and innovation. The benefits of studying smart-city OM are manifold and significant: contributing to deeper understanding of smart cities by providing advanced analytical frameworks, pushing OM knowledge boundaries (such as data-driven decision making), and empowering the OM community to deliver much broader impacts than before. We discuss several research opportunities to embody these thoughts, in the interconnected contexts of smart buildings, smart grid, smart mobility and new retail. These opportunities arise from the increasing integration of systems and business models at the urban scale.
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Alain Pinsonneault Awarded 2018 SSHRC Insight Grant
Congratulations to Alain Pinsonneault, Professor in Information Systems, awarded the 2018 SSHRC Insight Grant “The impact of explorative and exploitive use of information technology on individual performance”.
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Jui Ramaprasad and Alain Pinsonneault awarded 2018 SSHRC Insight Grant
Congratulations to Jui Ramaprasad, Associate Professor of Information Systems, and Alain Pinsonneault, Professor of Information Systems, awarded the 2018 SSHRC Insight Grant “Examining Value Creation in the Digital Economy: A Platform Engagement Perspective”.
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Low Status Rejection: How Status Hierarchies Influence Negative Tie Formation
Authors: Brian Rubineau, Yisook Lim and Michael Neblo
Publication: Social Networks, Vol. 56, January 2019
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