Mobile app vs. desktop browser platforms: the relationships among customer engagement, experience, relationship quality and loyalty intention

The growing use of mobile technologies is spawning firms’ adoption of mobile relationship-building techniques, including via mobile apps. However, despite the rapid rise of these technologies, little remains known regarding consumers’ mobile app- (vs. desktop browser) related behaviours, and this is therefore investigated in this paper. Specifically, we explore the effect of customer engagement (CE) and customer experience (CX) on customers’ relationship quality/loyalty intention across mobile app- (vs. desktop browser)-based interactions. Using structural equation modelling, we analyse data collected from 420 customers. The results reveal a stronger positive association between CE/CX and relationship quality/loyalty intention for mobile app- (vs. desktop browser)-based interactions, revealing the former’s strategic importance. We conclude by discussing key implications that arise from our analyses

A Survey on Rough Set Theory and Their Extension For Data Mining

Nowadays the amount of data has been huge andto extract useful information is too difficult. By the frequentlyresearch of thirty years, a new mathematical or data miningtool, the rough set theory, evolve with vague, imprecise anduncertainty information by the researcher Pawlak. Rough settheory is well known for knowledge discovery and popular formaking the good decision with specific data. It is also dealingwith the approximation concept for providing the decision suchas acceptance and rejection. In this paper I summarized thebasic concept of rough set theory, different operation with littleexample and the extension of rough set theory. By usingextension, we can deal any proposed task in the field of Datamining