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作者：Wooten, Joel O.
作者单位：University of South Carolina System; University of South Carolina Columbia
摘要：This paper explores how innovation breakthroughs can stimulate future progress in individual innovation. It does this by introducing a new contest mechanism-one that shows signals of performance can yield information about the solution space. Simply put, observing another's high performance is a clue that can lead solvers to devise ways of achieving their own breakthroughs. Using a unique dataset of predictive modeling contests from Kaggle, we use 25,898 distinct attempts at innovation to high...
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作者：Gour, Alekh; Aggarwal, Shikha; Kumar, Subodha
作者单位：Goa Institute of Management; Goa Institute of Management; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Governments and healthcare organizations increasingly pay attention to social media for handling a disease outbreak. The institutions and organizations need information support to gain insights into the situation and act accordingly. Currently, they primarily rely on ground-level data, collecting which is a long and cumbersome process. Social media data present immense opportunities to use ground data quickly and effectively. Governments and HOs can use these data in launching rapid and speedy...
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作者：Xie, Xiaodan; Aros-Vera, Felipe
作者单位：Procter & Gamble; University System of Ohio; Ohio University
摘要：We map the organized sex trafficking networks (STNs) into a network flow model and develop an interdependent network interdiction model (NIM) to disrupt such networks. Our model considers the interdependence between the information and physical victim networks and reformulates the problem using duality theory. Our NIM provides a clear strategy for interdicting STNs. Namely, it determines when to monitor (i.e., gather information) or arrest the criminals to maximize the impact of the interdicti...
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作者：Jia, Justin; Katok, Elena
作者单位：University of Tennessee System; University of Tennessee Knoxville; University of Texas System; University of Texas Dallas
摘要：The decision in a data-driven decision-making problem is generally a high-dimensional function of data. When can the decision be reduced to a single-dimensional function of a statistic? This study addresses this question based on the operational statistics literature. The study introduces the notion of sufficient operational statistics and derives the factorization theorem for identifying such statistics. Further, the study proposes a solution procedure based on the statistics and derives the ...
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作者：Lei, Zhanfei; Yin, Dezhi; Mitra, Sabyasachi; Zhang, Han
作者单位：University of Massachusetts System; University of Massachusetts Amherst; State University System of Florida; University of South Florida; State University System of Florida; University of Florida; University System of Georgia; Georgia Institute of Technology
摘要：Online word-of-mouth studies generally assume that a product's average rating is the primary force shaping consumers' purchase decisions and driving sales. Similarly, practitioners place more emphasis on average ratings by displaying them at more salient places than individual reviews. In contrast, emerging evidence suggests that individual reviews also affect the decision-making of those consumers who consult both kinds of information. However, because average ratings and individual reviews a...
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作者：Berling, Peter; Sonntag, Danja R.
作者单位：Norwegian University of Science & Technology (NTNU); Lund University; University of Mannheim
摘要：This paper considers a single-stage make-to-stock production-inventory system under random demand and random yield, where defective units are reworked. We examine how to set cost-minimizing production/order quantities in such imperfect systems, which is challenging because a random yield implies an uncertain arrival time of outstanding units and the possibility of them crossing each other in the pipeline. To determine the order/production quantity in each period, we extend the unit-tracking/de...
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作者：Gao, Xiangyu; Zhang, Huanan
作者单位：Chinese University of Hong Kong; University of Colorado System; University of Colorado Boulder
摘要：We consider a periodic-review multiproduct inventory system where customers' purchasing decisions are affected by the product availabilities. Demands need to be learned on the fly, through the partial and censored feedback of customers. For this learning problem, if one ignores the inventory dynamic and treats it as a multiarmed bandit problem and directly applies some existing algorithms, for example, the upper confidence bound (UCB) algorithm, the convergence can be extremely slow due to the...
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作者：Mandl, Christian; Nadarajah, Selvaprabu; Minner, Stefan; Gavirneni, Srinagesh
作者单位：University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; Technical University of Munich; Cornell University
摘要：Storage assets are critical for physical trading of commodities under volatile prices. State-of-the-art methods for managing storage facilities such as the reoptimization heuristic (RH), which are part of commercial software, approximate a Markov Decision Process (MDP) assuming full information regarding the state and the stochastic commodity price process and hence suffer from informational inconsistencies with observed price data and structural inconsistencies with the true optimal policy, w...
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作者：Li, Bo; Kumar, Subodha
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Software-as-a-service (SaaS) applications have experienced a decade of explosive growth, eliminating barriers in reaching users and enabling real-time interchanges and intelligence. Using business analytics, SaaS applications are increasingly embedded in the day-to-day activities of businesses and consumers with competition and innovative pricing. Due to the evolution in cloud business models, new issues are surfacing to challenge practitioners and scholars. A number of issues encountered in t...
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作者：Sodhi, ManMohan S.; Seyedghorban, Zahra; Tahernejad, Hossein; Samson, Danny
作者单位：City St Georges, University of London; University of Melbourne; Deakin University
摘要：In this paper, we explore why users' experiences with emerging supply chain technologies comprise inflated expectations followed by disappointment in the early stages of adoption, as per the Gartner Hype Cycle. We used affordance theory to study how managers perceive emerging technologies to explain their adoption experience. Affordance theory indicates that perceived benefits-and goals and constraints-depend on the interaction between technology and the users, not on the technology alone. Fir...
