The main of this paper is to analyse the performance customer behaviour in online shopping by using precision value.A novel Self-organizing map with Random Forest was iterated at different times for predicting accuracy percentage behaviour. result proved that Novel got significant results 96% compared 93% accuracy. mapis a simple and most effective algorithm build fast machine learning models. ...

Abstract Background Customer segmentation has become one of the most innovative ways which help businesses adopt appropriate marketing campaigns and reach targeted customers. The RFM model machine learning combination have been widely applied in various areas. Motivations With rapid increase transactional data, can accurately segment customers provide deeper insights into customers’ purchasing ...

The influence of Islamic branding experience and customer citizenship behavior on the decision to use sharia linkaja services is focus this research, due increasing digitalization finance. sample used was 252 respondents, sampling technique purposive sampling, namely selection samples with specified criteria. results show that partially has a significant effect decisions services, then positive...

In recent years, marine cultural tourism, an emerging tourism mode, has become more and more popular among tourists, and demonstrates broad market prospects. However, Chinese marine cultural tourism is still in the development and growth stage, and the level of customer satisfaction is uneven. The improvement of the customer satisfaction level is conducive to meeting customers’ demands in marin...

Customer integration has many recognised advantages, but also entails negative side effects that may impair the success of innovative activities. These negative side effects have not yet been sufficiently investigated. Whereas some may occur within the entire early innovation phase, others are likely to affect only few sub-phases. Each sub-phase, defined in a slightly new way as compared with e...