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作者：Golrezaei, Negin; Nazerzadeh, Hamid; Rusmevichientong, Paat
作者单位：University of Southern California
摘要：Motivated by the availability of real-time data on customer characteristics, we consider the problem of personalizing the assortment of products for each arriving customer. Using actual sales data from an online retailer, we demonstrate that personalization based on each customer's location can lead to over 10% improvements in revenue compared to a policy that treats all customers the same. We propose a family of index-based policies that effectively coordinate the real-time assortment decisio...
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作者：Tambe, Prasanna
作者单位：New York University
摘要：This paper analyzes how labor market factors have shaped early returns on big data investment using a new data source-the LinkedIn skills database. The data source enables firm-level measurement of the employment of workers with technical skills such as Hadoop, MapReduce, and Apache Pig. From 2006 to 2011, Hadoop investments were associated with 3% faster productivity growth, but only for firms (a) with significant data assets and (b) in labor markets where similar investments by other firms h...
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作者：Danaher, Brett; Huang, Yan; Smith, Michael D.; Telang, Rahul
作者单位：Wellesley College; University of Michigan System; University of Michigan; Carnegie Mellon University
摘要：We use panel data on digital song and album sales coupled with a quasi-random price experiment to determine own- and cross-price elasticities for songs and albums. We then develop a structural model of consumer demand to estimate welfare under various policy relevant counterfactual scenarios. This approach represents an early application of the big data management paradigm within the media industries and provides managers with detailed guidance on optimal pricing and marketing strategies for d...
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作者：Tan, Tom Fangyun; Netessine, Serguei
作者单位：Southern Methodist University; INSEAD Business School
摘要：we analyze a large, detailed operational data set from a restaurant chain to shed new light on how workload (defined as the number of tables or diners that a server simultaneously handles) affects servers' performance (measured as sales and meal duration). We use an exogenous shock-the implementation of labor scheduling software-and time-lagged instrumental variables to disentangle the endogeneity between demand and supply in this setting. We show that servers strive to maximize sales and spee...
