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 …
Employing customer information from one of the world's largest airline companies, we develop a price elasticity model (PREM) using machine learning to identify customers likely …
J Gönsch - European Journal of Operational Research, 2020 - Elsevier
Today's technology facilitates selling strategies that were unthinkable only a few years ago. One increasingly popular strategy uses incompletely specified products (ICSPs). The seller …
Y Lin, D Wu, CH Chiu - Journal of Travel & Tourism Marketing, 2023 - Taylor & Francis
This study investigates how the customer environmental attitude-behavior gap affects a hotel's total carbon emissions and profits. Results indicate that this gap does not affect the …
To improve carbon reduction efficiency, green hotels adopt cash discount incentives to encourage green customer behavior. However, the effectiveness of these incentives in …
BD Guillet - International Journal of Hospitality Management, 2020 - Elsevier
The purpose of this study is to understand how online upselling is used in the hotel industry as a part of revenue management strategy. This study used a convergent parallel mixed …
T Schaefers, M Leban, F Vogt - Journal of Business Research, 2022 - Elsevier
As a service innovation in the sharing economy, on-demand features (ODFs) allow customers to temporarily access additional features of a product they already own in return …
Purpose The purpose of this study is to investigate the interactive effect of timing and framing of hotel's upselling message on consumer attitudes toward the message. The mediating role …
CH Park, TJ Yoon - Journal of Retailing, 2022 - Elsevier
This research investigates how up-and down-selling promotions affect customers' cross- brand purchasing and churn behavior at a multi-brand retailer. We employ a hidden Markov …