Customers are important intangible assets of a firm that should be valued and managed. Although researchers and practitioners have recently emphasized customer relationships and customer lifetime value, these concepts have had limited impact on the business and investment community for two main reasons: (a) they require extensive data and complex modeling, and (b) researchers have not shown a s...

Advancements in Artificial Intelligence (AI) have led to the development of autonomous decision-making processes, allowing customers delegate decisions and tasks. Such technologies potential alter retailing landscape. Grounded unified theory acceptance use technology Hofstede's cultural theory, this article investigates customers’ adoption AI-based processes by analyzing 454 custo...

This paper investigates the influence of national culture on customers' behavior and choice channel through customer life cycle stages. An exploratory in-depth single case study in a multinational organization Egypt was conducted. Specifically, 31 interviews were conducted with members staff marketing, IT, retail services departments, external prospects/customers. Based an interpretive approach...

In the Prize-Collecting Steiner Tree Problem (PCStT) we are given a set of customers with potential revenues and a set of possible links connecting these customers with fixed installation costs. The goal is to decide which customers to connect into a tree structure so that the sum of the link costs plus the revenues of the customers that are left out is minimized. The problem, as well as some o...

A look at how industrial customers make purchase decisions. Understanding why and how customers make purchase decisions is vital to maximizing profitable sales, developing new products, growing companies and developing predic-tive sales models. Many sales managers and salespeople have prescribed rules of thumb or rubrics that detect and analyze " buying signals, " but these are rarely tested an...

Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...

Abstract Knowledge of the measurement uncertainty test results is fundamentally important for laboratories, their customers and all parties using interpreting these results. In conformity assessment, a result used to decide if an item interest conforms specified requirement. Because uncertainty, there always risk incorrectly deciding whether or not requirement based on measured value property i...