Data analytics in operations management: A review

VV Mišić, G Perakis - Manufacturing & Service Operations …, 2020 - pubsonline.informs.org
Research in operations management has traditionally focused on models for understanding,
mostly at a strategic level, how firms should operate. Spurred by the growing availability of …

A review of revenue management: Recent generalizations and advances in industry applications

R Klein, S Koch, C Steinhardt, AK Strauss - European journal of operational …, 2020 - Elsevier
Originating from passenger air transport, revenue management has evolved into a general
and indispensable methodological framework over the last decades, comprising techniques …

Dual mirror descent for online allocation problems

S Balseiro, H Lu, V Mirrokni - International Conference on …, 2020 - proceedings.mlr.press
We consider online allocation problems with concave revenue functions and resource
constraints, which are central problems in revenue management and online advertising. In …

Big data and service operations

MC Cohen - Production and Operations Management, 2018 - journals.sagepub.com
This study discusses how the tremendous volume of available data collected by firms has
been transforming the service industry. The focus is primarily on services in the following …

Dynamic pricing in high-dimensions

A Javanmard, H Nazerzadeh - Journal of Machine Learning Research, 2019 - jmlr.org
We study the pricing problem faced by a firm that sells a large number of products, described
via a wide range of features, to customers that arrive over time. Customers independently …

The effectiveness of triggered email marketing in addressing browse abandonments

M Goic, A Rojas, I Saavedra - Journal of Interactive …, 2021 - journals.sagepub.com
Triggered emails are personalized messages that are automatically sent as a response to
specific actions or states of customers. Typical examples of this type of campaign include …

A statistical learning approach to personalization in revenue management

X Chen, Z Owen, C Pixton… - Management …, 2022 - pubsonline.informs.org
We consider a logit model-based framework for modeling joint pricing and assortment
decisions that take into account customer features. This model provides a significant …

Customer choice models vs. machine learning: Finding optimal product displays on Alibaba

J Feldman, DJ Zhang, X Liu… - Operations Research, 2022 - pubsonline.informs.org
We compare the performance of two approaches for finding the optimal set of products to
display to customers landing on Alibaba's two online marketplaces, Tmall and Taobao. We …

Dynamic assortment optimization for reusable products with random usage durations

P Rusmevichientong, M Sumida… - Management …, 2020 - pubsonline.informs.org
We consider dynamic assortment problems with reusable products, in which each arriving
customer chooses a product within an offered assortment, uses the product for a random …

A dynamic clustering approach to data-driven assortment personalization

F Bernstein, S Modaresi, D Sauré - Management Science, 2019 - pubsonline.informs.org
We consider an online retailer facing heterogeneous customers with initially unknown
product preferences. Customers are characterized by a diverse set of demographic and …