Problem definition: We study personalized product recommendations on platforms when customers have unknown preferences. Importantly, customers may disengage when offered poor recommendations.Academic / Practical Relevance: Online platforms often personalize product recommendations using bandit...

By the end of 2016 about 653 million people in the Asia Pacific region are expected to buy goods and services online. Out of these, a large chunk of customers will be from India. E-commerce is one of the fastest growing sectors in this region. According to the Associated Chambers of Commerce and...

Purpose of the article: This article aims to identify the perception of customers in the shared economy, specifically their customer experience with Uber, Bolt and Airbnb, and then evaluate what these companies stand out for or what their deficiencies are, and formulate recommendations for them....

We seek to develop a recommender system that takes into account supply chain constraints regarding the availability of a product while nudging the customers to purchase it. The motivation to study this problem was because a firm faced availability constraints for one of its products but the...

The ever-increasing urbanization coupled with the unprecedented capacity to collect and process large amounts of data have helped to create the vision of intelligent urban environments. One key aspect of such environments is that they allow people to effectively navigate through their city....

Most of the work on Context-Aware Recommender Systems (CARSes) has focused on demonstrating that the contextual information leads to more accurate recommendations and on developing efficient recommendation algorithms utilizing this additional contextual information. Little work has been done,...

This research aims to investigate the impact of customer satisfaction, experience, and loyalty on brand power in the Hotel industry. This study used a descriptive-survey research design based on the correlation method. The selected populations were Pars Hotels' customers. Sample size was 384,...