Purpose–The purpose of this paper is to classify and organize the accumulated knowledge
about mobile shopping (m-shopping) as revealed in the present literature regarding retail. A …

Mobile recommender systems target on recommending the right product or information to
the right mobile users at anytime and anywhere. It is well known that the contextual …

Abstract Multiple Criteria Decision Making (MCDA) methods have been increasingly applied
to improve recommendations when multiple criteria are considered in Recommender …

Nowadays, large shopping malls provide tools to help and boost customers to buy products.
Some of these tools melt down digital operations with physical ones executed by customers …

The plethora of e-commerce products within the last few years has become a serious
challenge for shoppers when searching for relevant product information. This has …

Recommender systems are software applications that belong to a class of personalized
information filtering technologies that aim to support decision making in large information …

Multiple Criteria Decision Making (MCDA) methods have been increasingly applied to
improve recommendations when multiple criteria are considered in Recommender Systems …

This paper shows how image content can be used to realize a shopping recommender
system for intuitively supporting mobile users in decision making. A mobile user equipped …

Research information management has become an essential activity for higher education
institutions (HEIs) worldwide as a mechanism to aggregate, curate, utilize and improve the …

In the current study, the authors report on the application of the design science methodology
to construct, utilize, and evaluate a frugal information system that uses mobile devices and …