This study proposed a multichannel loyalty model aimed at integrating experience theory, schema theory and loyalty theory. Particularly, we built a multichannel retailer loyalty framework not only from the perspective of multichannel shopping behavior, but also from sequences of channel choices, namely shopping paths, including search online but purchase offline and search offline but purchase ...

Recommender systems are widely used in online stores because they are expected to improve both user convenience and online store profit. As such, a number of recommendation methods have been proposed in recent years. Functions required for recommender systems vary significantly depending on business models or/and situations. Although an online store can acquire various kinds of information abou...

In this paper we report on a study into the antecedents of online purchase intention for B2C websites. In particular, this research juxtaposes two competing models that explain online purchase intention. A replication was carried out of the trust-oriented study by Jarvenpaa, Tractinsky, and Vitale (2000), and the websiteoriented model from Chau, Au, and Tam (2000), first developed by Davis (198...

We propose a consistent utility-based framework to jointly explain a household’s decisions on purchase incidence, brand choice and purchase quantity. The approach differs from other approaches, currently available in the literature, as it is able to take into account consumption dynamics. In the model, households derive utility from consumption, and they relate their purchase behavior to consum...

The aim of this study is to examine consumer house-buying behavior from the consumers’ perspective. In view of the existing literature exploring consumer decision making, the purpose of this research was threefold: (a) to propose a conceptual model of consumer decision making within the frame of consumer behavior; (b) to gain knowledge of factors impacting this process from the empirical standp...

Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrat...

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...

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