Item reviews are a valuable source of information for potential buyers, who are looking for information on a product’s attributes before making a purchase decision. This search of information is often hindered by overwhelming numbers of available reviews, as well as low-quality and noisy content. While a significant amount of research has been devoted to filtering and organizing review corpora ...

This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support system (LSDM) for assisting user decision making by applying artificial intelligence technology. When buyers purchase expensive items, they must carefully select these items from many alternatives. The learning support ...

Many e-commerce websites struggle to turn visitors into real buyers. Understanding online users’ realtime intent and dynamic shopping cart choices may have important implications in this realm. This study presents an individual-level, dynamic model with concurrent optimal page adaptation that learns users’ real-time, unobserved intent from their online cart choices, then immediately performs op...

Rapid growth of rural communities in the Blue Ridge Mountains of Macon County, North Carolina has been giving rise to concerns over declining environmental quality and increasing need for land-use policy. This paper examines willingness to pay (WTP) for hypothetical conservation easements as an alternative land-use policy for the county. Despite the fact that Macon County has struggled to adopt...

This study aimed to examine the impact of fashion brand attachment on customer’s purchase intention and role social media usage engagement this relationship. The data were collected through surveys distributed randomly 404 users in Albania during April 2020. PLS-SEM was used analyze relationships between Fashion Brand Attachment (FBA), Social Media Usage (SMU), Engagement (SBE), Purchase Intent...

This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support system (LSDM) for assisting user decision making by applying artificial intelligence technology. When buyers purchase expensive items, they must carefully select these items from many alternatives. The learning support ...

Buyer coalition with a combination of items is a group of buyers joining together to purchase a combination of items with a larger discount. The primary aim of existing buyer coalition with a combination of items research is to generate a large total discount. However, the aim is hard to achieve because this research is based on the assumption that each buyer completely knows other buyers’ info...

We study a model of contracts in which a profit-maximizing seller uses framing to influence buyers’ purchase behavior. Framing temporarily affects how buyers evaluate different products, and buyers can renege on their purchases after the framing effect wears off. We characterize the optimal contracts with framing and their welfare properties in several settings. Framing that is not too strong r...

Online consumer product reviews, an important form of electronic word-of-mouth (eWOM), have attracted widespread attention from researchers. The reviews provide potential buyers with product comments and evaluations from a user’s perspective. This paper examines how the sequence of negative reviews, the quantity of online feedback text and the quality of online comments affect consumer purchase...