[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 …
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 …
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 …
business analytics, significantly enhancing organizational decision-making. Recently …
A unified framework for marketing budget allocation
While marketing budget allocation has been studied for decades in traditional business,
nowadays online business brings much more challenges due to the dynamic environment …
nowadays online business brings much more challenges due to the dynamic environment …
[HTML][HTML] Prescriptive price optimization using optimal regression trees
This paper is concerned with prescriptive price optimization, which integrates machine
learning models into price optimization to maximize future revenues or profits of multiple …
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 …
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 …
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 …
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 …
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 …
to solve maximization problems in which the objective function to be maximized is estimated …