[HTML][HTML] Prescriptive analytics: Literature review and research challenges

K Lepenioti, A Bousdekis, D Apostolou… - International Journal of …, 2020 - Elsevier
Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

COVID‐19 pandemic in the new era of big data analytics: Methodological innovations and future research directions

J Sheng, J Amankwah‐Amoah… - British Journal of …, 2021 - Wiley Online Library
Although scholars in management recognize the value of harnessing big data to
understand, predict and respond to future events, there remains little or very limited overview …

Prescriptive analytics systems revised: a systematic literature review from an information systems perspective

C Wissuchek, P Zschech - Information Systems and e-Business …, 2024 - Springer
Abstract Prescriptive Analytics Systems (PAS) represent the most mature iteration of
business analytics, significantly enhancing organizational decision-making. Recently …

A unified framework for marketing budget allocation

K Zhao, J Hua, L Yan, Q Zhang, H Xu… - Proceedings of the 25th …, 2019 - dl.acm.org
While marketing budget allocation has been studied for decades in traditional business,
nowadays online business brings much more challenges due to the dynamic environment …

[HTML][HTML] Prescriptive price optimization using optimal regression trees

S Ikeda, N Nishimura, N Sukegawa… - Operations Research …, 2023 - Elsevier
This paper is concerned with prescriptive price optimization, which integrates machine
learning models into price optimization to maximize future revenues or profits of multiple …

Large-scale price optimization via network flow

S Ito, R Fujimaki - Advances in Neural Information …, 2016 - proceedings.neurips.cc
This paper deals with price optimization, which is to find the best pricing strategy that
maximizes revenue or profit, on the basis of demand forecasting models. Though recent …

Robust portfolio optimization model for electronic coupon allocation

Y Uehara, N Nishimura, Y Li, J Yang… - INFOR: Information …, 2024 - Taylor & Francis
Currently, many e-commerce websites issue online/electronic coupons as an effective tool
for promoting sales of various products and services. We focus on the problem of optimally …

Dynamic pricing under competition on online marketplaces: A data-driven approach

R Schlosser, M Boissier - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
Most online markets are characterized by competitive settings and limited demand
information. Due to the complexity of such markets, efficient pricing strategies are hard to …

Prescriptive analytics: a survey of approaches and methods

K Lepenioti, A Bousdekis, D Apostolou… - … Systems Workshops: BIS …, 2019 - Springer
Data analytics has gathered a lot of attention during the last years. Although descriptive and
predictive analytics have become well-established areas, prescriptive analytics has just …

Unbiased objective estimation in predictive optimization

S Ito, A Yabe, R Fujimaki - International Conference on …, 2018 - proceedings.mlr.press
For data-driven decision-making, one promising approach, called predictive optimization, is
to solve maximization problems in which the objective function to be maximized is estimated …