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作者：Aral, Sinan; Walker, Dylan
作者单位：Massachusetts Institute of Technology (MIT); Boston University
摘要：We leverage the newly emerging business analytical capability to rapidly deploy and iterate large-scale, microlevel, in vivo randomized experiments to understand how social influence in networks impacts consumer demand. Understanding peer influence is critical to estimating product demand and diffusion, creating effective viral marketing, and designing network interventions to promote positive social change. But several statistical challenges make it difficult to econometrically identify peer ...
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作者：Angalakudati, Mallik; Balwani, Siddharth; Calzada, Jorge; Chatterjee, Bikram; Perakis, Georgia; Raad, Nicolas; Uichanco, Joline
作者单位：Pacific Gas & Electric Company (PG&E); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：In this paper, we describe both applied and analytical work in collaboration with a large multistate gas utility. The project addressed a major operational resource allocation challenge that is typical to the industry. We study the resource allocation problem in which some of the tasks are scheduled and known in advance, and some are unpredictable and have to be addressed as they appear. The utility has maintenance crews that perform both standard jobs (each must be done before a specified dea...
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作者：Bao, Yang; Datta, Anindya
作者单位：National University of Singapore
摘要：Managers and researchers alike have long recognized the importance of corporate textual risk disclosures. Yet it is a nontrivial task to discover and quantify variables of interest from unstructured text. In this paper, we develop a variation of the latent Dirichlet allocation topic model and its learning algorithm for simultaneously discovering and quantifying risk types from textual risk disclosures. We conduct comprehensive evaluations in terms of both conventional statistical fit and subst...
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作者：Bertsimas, Dimitris; Bradlow, Eric; Gans, Noah; Gupta, Alok
作者单位：Massachusetts Institute of Technology (MIT); University of Pennsylvania; University of Minnesota System; University of Minnesota Twin Cities
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作者：Hauser, John R.; Liberali, Guilherme (Gui); Urban, Glen L.
作者单位：Massachusetts Institute of Technology (MIT); Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; Massachusetts Institute of Technology (MIT)
摘要：Website morphing infers latent customer segments from clickstreams and then changes websites' look and feel to maximize revenue. The established algorithm infers latent segments from a preset number of clicks and then selects the best morph using expected Gittins indices. Switching costs, potential website exit, and all clicks prior to morphing are ignored. We model switching costs, potential website exit, and the (potentially differential) impact of all clicks to determine when to morph for e...
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作者：Mishra, Vinit Kumar; Natarajan, Karthik; Padmanabhan, Dhanesh; Teo, Chung-Piaw; Li, Xiaobo
作者单位：University of Sydney; Singapore University of Technology & Design; National University of Singapore; University of Minnesota System; University of Minnesota Twin Cities
摘要：In this paper, we study the properties of a recently proposed class of semiparametric discrete choice models (referred to as the marginal distribution model (MDM)), by optimizing over a family of joint error distributions with prescribed marginal distributions. Surprisingly, the choice probabilities arising from the family of generalized extreme value models of which the multinomial logit model is a special case can be obtained from this approach, despite the difference in assumptions on the u...
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作者：Xu, Lizhen; Duan, Jason A.; Whinston, Andrew
作者单位：University System of Georgia; Georgia Institute of Technology; University of Texas System; University of Texas Austin
摘要：This paper studies the effects of various types of online advertisements on purchase conversion by capturing the dynamic interactions among advertisement clicks themselves. It is motivated by the observation that certain advertisement clicks may not result in immediate purchases, but they stimulate subsequent clicks on other advertisements, which then lead to purchases. We develop a novel model based on mutually exciting point processes, which consider advertisement clicks and purchases as dep...
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作者：Gallino, Santiago; Moreno, Antonio
作者单位：Dartmouth College; Northwestern University
摘要：Using a proprietary data set, we analyze the impact of the implementation of a buy-online, pick-up-in-store (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can be explained by two simultaneous phenomena: (1) additional store sales from customers who use the BOPS functionality and buy additional products in the stores (cross-selling effect) and (2) the shift of some customers from the onl...
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作者：Ghose, Anindya; Han, Sang Pil
作者单位：New York University; City University of Hong Kong
摘要：In 2013, the global mobile app market was estimated at over US$50 billion and is expected to grow to $150 billion in the next two years. In this paper, we build a structural econometric model to quantify the vibrant platform competition between mobile (smartphone and tablet) apps on the Apple iOS and Google Android platforms and estimate consumer preferences toward different mobile app characteristics. We find that app demand increases with the in-app purchase option wherein a user can complet...
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作者：Kappe, Eelco; Blank, Ashley Stadler; DeSarbo, Wayne S.
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：Game attendance resulting from ticket sales is the single largest revenue stream for Major League Baseball (MLB) teams. We propose a general multiple distributed lag framework following the Koyck family of models for estimating MLB attendance drivers and focus specifically on the differential direct and carryover effects of in-game promotions. By setting various model constraints, the proposed framework incorporates different forms of serial correlation and promotion-specific dynamic effects. ...
