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We develop an expectation-maximization algorithm to estimate the parameters of the Markov chain choice model. In this choice model, a customer arrives into the system to purchase a certain product. If this product is available for purchase, then the customer purchases it. Otherwise, the customer transitions between the products according to a transition probability matrix until she reaches an a...

This paper examines the manner by which online product information is able to change customers’ purchase intentions using theoretical and methodological specifications. For theorizing, we adopted the subjectivity/objectivity dichotomy at the epistemological level to propose quality and preferences as product evaluation criteria which determine the customers’ purchase intention. In validation, w...

P recommendation models are key tools in customer relationship management (CRM). This study develops a product recommendation model based on the principle that customer preference similarity stemming from prior purchase behavior is a key element in predicting current product purchase. The proposed recommendation model is dependent on two complementary methodologies: joint space mapping (placing...

This study explored the consumer behavior of intention to purchase green products based on a decision-making model that integrates cognitive attributes, affective attributes, and behavioral intentions in Belt and Road countries. The questionnaires were collected from customers who previously purchased green products; this study distributed the questionnaires at the appliance section of the depa...

In this paper an approach to design information systems for traceability is proposed. The paper applies gozinto graph modelling for traceability of the goods flow. A gozinto graph represents a graphical listing of raw materials, parts, intermediates and subassemblies, which a process transforms into an end product, through a sequence of operations. Next, the graphical listing has been translate...

Online consumer review plays an important role in customers’ purchase decisions. However, conflicting online reviews can confuse potential customers. As a result, he/she will take a risk of either selecting a product that is not able to satisfy their needs or not select an appropriate product. This error in purchasing can impose significant tangible and intangible costs on the supply chain. In ...

Multiple studies have attempted to explain the online shopping behaviour of consumers both in Information Systems (IS) and Marketing literature. However, given the widening gap between actual and expected increase in Internet-enabled or web-based consumer purchase transactions, the need to investigate the underlying factors for on-line purchase behaviour assumes increased significance. Also, th...