Retail store operations: Literature review and research directions

S Mou, DJ Robb, N DeHoratius - European Journal of Operational …, 2018 - Elsevier
In the digital age, retail store operations face a variety of novel challenges and complexities.
We review 255 papers on retail store operations from 32 operations research, management …

Market segmentation and travel choice prediction in Spa hotels through TripAdvisor's online reviews

A Ahani, M Nilashi, O Ibrahim, L Sanzogni… - International Journal of …, 2019 - Elsevier
Customer segmentation via online reviews and ratings can assist different hotels, including
spa hotels, to better inform marketing strategy development and ensure optimal marketing …

Retail business analytics: Customer visit segmentation using market basket data

A Griva, C Bardaki, K Pramatari… - Expert Systems with …, 2018 - Elsevier
Basket analytics is a powerful tool in the retail context for acquiring knowledge about
consumer shopping habits and preferences. In this paper, we propose a business analytics …

Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision

J Liu, X Liao, W Huang, X Liao - Omega, 2019 - Elsevier
We propose a new multiple criteria decision aiding approach for market segmentation that
integrates preference analysis and segmentation decision within a unified framework. The …

Food market segmentation based on consumer preferences using outranking multicriteria approaches

JC Casas‐Rosal, M Segura… - … in Operational Research, 2023 - Wiley Online Library
Market segmentation is a key concept in marketing that groups consumers by their needs,
characteristics, or purchasing behavior. The objectives of this research are to develop …

User segmentation for retention management in online social games

X Fu, X Chen, YT Shi, I Bose, S Cai - Decision Support Systems, 2017 - Elsevier
This work proposes an innovative model for segmenting online players based on data
related to their in-game behaviours to support player retention management. This kind of …

Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China

X Fu, XJ Zeng, P Feng, X Cai - Energy, 2018 - Elsevier
The introduction of a new pricing mechanism, the increasing-block tariff (IBT), will not only
affect electricity bills for residents, but also lead to a change in residential electricity …

Factors affecting customer analytics: Evidence from three retail cases

A Griva, C Bardaki, K Pramatari, G Doukidis - Information Systems …, 2022 - Springer
The abundance of customer behavioral data alters the design and application of customer
analytics systems and approaches. Segmentation is a common customer analytics practice …

Market segmentation in the health tourism industry: A systematic review of approach and criteria

L Torkzadeh, H Jalilian, M Zolfagharian… - Journal of Policy …, 2024 - Taylor & Francis
Given the rapid growth of the medical tourism industry worldwide, competition among
different countries to increase market share has risen sharply. The success of this industry …

Search well and be wise: A machine learning approach to search for a profitable location

S Han, X Jia, X Chen, S Gupta, A Kumar… - Journal of Business …, 2022 - Elsevier
A good location is critical for the sales performance of a hotel or a restaurant. This study
proposes a machine learning-based model for location selection that focuses on the …