Todays efforts to optimize industrial production processes exceedingly focus on tools’ life cycle costs. Toolmaker and its customer are the two entities influencing tools’ life cycle costs. Due to lack of information exchange neither life cycle assessment nor cost efficient life cycles can be realized. An effective lever for penetrating information exchange and therefore gaining cost efficiency...

Website customer loyalty is believed to be very important to the success of E-Commerce firms. Based on document review, this study constructs a customer loyalty effect model which chooses organization, navigation, labeling and searching system as dependent variables as well as attitude and behavior loyalty as variables. The sample of the study was drawn from 250 students who have online shoppin...

Currently, customers can choose among many Cloud providers for enterprise systems. The provider selection involves several challenges to match individual customer requirements and provided service characteristics. Unfortunately, this process is not transparent and characterized by the lack of appropriate selection criteria. Research is mainly concentrated on capabilities and success factors on ...

In today’s world, internet is the main source of information. There are many blogs and forum sites available where people discuss on different issues and also almost all ecommerce website provide facility to the users to express opinion about their product and services which is important information available on the internet .The problem with this information is that this reviews are mostly not...

This paper aims to analyze online customers’ reviews and gain insight into customer satisfaction factors drawn from a big user-generated content of US retailers. has become more insightful, especially in the CO VID-19 era as result rapid increase shopping. study uses textual data 5 340 786 which was collected platform bizratesurvey.com. The focuses on individual 839 Word frequency analysis late...

This study investigates the customer churn in banking sector and explores application of machine learning models to predict rates. paper starts by providing a comprehensive definition or attrition. Furthermore, review prior studies conducted field rate detection prediction within is .It encompasses an examination diverse datasets employed, including their origins, sizes, sources, specific utili...