Abstract. In the wave of digital learning, Mobile learning (M-learning) captures more and more attention. Advanced developments in wireless technology and the availability of mobile devices provide the learners the freedom of mobility in using. In this context, the learning process had gained more flexibility, as well as challenges in order to adapt and manage the learning object to this new framework through the use of Mobile Learning Management Systems (M-LMS), a cross domain between LMSs and mobile device . Moreover, as part of the learning process, Knowledge Management (KM) is integrated in the practical teaching activities as one of the methods that enhance the abilities of learners by encouraging them to create, share, apply, and store knowledge. For that, it is necessary to find a way to successfully transform ordinary M-learning to knowledge-based learning. In this study we compare three main M-LMSs that integrated a KM approach in their system: MOODLE, Blackboard and mEKP. We focus our investigation on how these systems apply KM strategy in their system. We compared these tools based on Nonaka and Takeuchi Knowledge Conversion Process Model that represents one of the common KM models helping to extract knowledge from data collection. We found that Moodle has adopted a Mobile Knowledge Management Learning System (MKLMS) that helps capture tacit and explicit knowledge from users through the use of mobile devices; and based on this we propose guidelines that might be followed to enhance integration of KM approach in M-LMSs and ensure gaining valuable results of the integration.
The growing incidence of web 2.0 challenges the traditional offline retailers to create a new method of shopping and new usage of consuming goods and services through a virtual shopping space over electronic store. A new contextual framework of customer and retailers relationship emerges through the aggregation and collaborative-shared opinion on the personal preferences about goods in the Web. While the benefits of building dynamic content into an e-commerce site are profound, the personalized access benefits are perhaps even bigger. Today more than ever, it is widely assumed that getting the relevant information at the right time, when it becomes available are the crucial issues and the main strategic challenges for improving the business prots. In this paper, we present an overview of PERSO-Retailer, a new research track, that aims to address the challenge of the growing competitive evolution of the marketplace and the access to the relevant resources at the right time, in the context of web 2.0. PERSO-Retailer is an innovative webbased framework for personalized online shopping experiences. Where the most of the recommendation system focus only in the final consumer side, our approach propose to tailor the recommendation by taking into account both the consumer as well as the retailer business profile. For that, our approach combines the contextualization and socialization of the user online experiences with the social merchandizing strategies of retailer. We propose novel frameworks that represent all the shopping dimensions of user, as well as the retailers business profile. In this perspective, the main advantage of our approach is to merge a new dimensions of retailer business selling strategies, the social merchandizing to the traditional online personalized recommendation system using multidimensional profile models for the consumer, the retailer and marketing plan for personalized selling strategies.
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