Top-k personalized recommendations are ubiquitous, but are they stable? We study whether, given complete information, buyers and sellers prefer to participate in matches formed by top-k recommendations rather than pursuing offline matches among themselves. When there are no constraints on the...

This research is focused on the utilization of artificially intelligent (AI), customer service chatbots in travel, tourism and hospitality. Rigorous criteria were used to search, screen, extract and synthesize articles on conversational, automated systems. The results shed light on the...

In identifying consumers' behavior, the marketing literature has largely focused on purchase behavior while neglecting to characterize consumers' online reviewing behavior, a significant aspect of modern consumers' interaction with brands. We fill this gap in the literature and identify a...

Recommender systems are prevalent across digital platforms. They use machine learning techniques to help consumers make choices by predicting their preferred items. If RS had perfect information about consumer preferences and item attributes, they could recommend the most suitable item for each...