Cover -- Contents -- Acknowledgments -- Chapter 1: Data Mining in Business -- Chapter 2: Business Data Mining Tools -- Chapter 3: Data Mining Processes and Knowledge Discovery -- Chapter 4: Overview of Data Mining Techniques -- Chapter 5: Data Mining Software -- Chapter 6: Regression Algorithms...

The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using...

Purpose – Globalization and digitalization have led to the need for a different view of international business. Computer technology, especially in the form of enterprise systems, presents the opportunity to apply best (or at least better) practices. Twentieth century enterprise systems were...

Purpose – A key process involved in supply chains is a priori evaluation of potential partners, not only in terms of expected cost (which includes exchange rate risk), but also in terms of other risks. These risks can include product failure, producing company failure (such as bankruptcy), and...

Purpose – The aim of this paper is to present a macro view of the evolution of innovation for value creation, from the closed to collaborative, open, and now co‐innovation. It reviews several mega trends that have dramatically changed the dynamic nature of the global market place and also...