In recent decades, rapid advances in Internet technology have led to numerous innovative
smart technologies. This research investigates the customer acceptance of and resistance to …

E‐commerce supply chains and their members face risks from cyber‐attacks. Consumers
who purchase goods online also risk having their private information stolen. Thus …

With the ongoing progress in cloud computing, big data analytics (BDA) and other
burgeoning technologies, the integration of intelligence and e-commerce systems now …

Cross-efficiency evaluation in data envelopment analysis (DEA) is a useful tool in evaluating
the performance of decision-making units (DMUs). It is generally assumed that decision …

As a type of internet and business intelligence technology, recommender systems have
been widely adopted by store brands to improve brand competition and to affect consumers' …

In the era of big data, mass customization (MC) systems are faced with the complexities
associated with information explosion and management control. Thus, it has become …

Recommendation agents (RAs) have proven to be effective decision-making tools for
customers, as they can boost trust and loyalty when customers shop online. They can …

Decision support is a vital function in electronic commerce (e-commerce). The purpose of
this paper is to construct a review-based decision support model for items comparison in e …

E-commerce website evaluation is recognized as a complex multi-criteria decision-making
(MCDM) problem involving vast amounts of imprecise and inconsistent evaluation data …

Price is one of the essential elements influencing consumer purchase behavior. Like
consumers' preferences in products, their price preferences also dynamically change over …