Making New Customers of Farmers’Markets into Repeat Customers

Partitioning Customers into Service

We consider how to partition arriving customers into service groups that will be served separately , in a rst-come rst-served manner, by multi-server service systems having a provision for waiting, and how to assign an appropriate number of servers to each group. We assume that customers can be classiied upon arrival, possibly according to their service requirements. We model the congestion exp...

A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers

While vendors on the Internet may have enjoyed an increase in the number of clicks on their Web sites, they have also faced disappointments in converting these clicks into purchases. Lack of trust is identified as one of the greatest barriers inhibiting Internet transactions. Thus, it is essential to understand how trust is created and how it evolves in the Electronic Commerce (EC) context thro...

Partitioning Customers into Service Groups

We explore the issue of when and how to partition arriving customers into service groups that will be served separately, in a first-come first-served manner, by multi-server service systems having a provision for waiting, and how to assign an appropriate number of servers to each group. We assume that customers can be classified upon arrival, so that different service groups can have different ...

Results of a Survey of KnowBe4 Customers and Non-Customers

Who/Where Are My New Customers?

We present a knowledge discovery case study on customer classification having the objective of mining the distinctive characteristics of new customers of a service of tax return. Two general approaches are described. The first one, a symbolic approach, is based on extracting and ranking classification rules on the basis of significativeness measures defined on the 4-fold contingency table of a ...