Supply Chain Management Performance And Erp Implementation Uum Press
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Supply Chain Management Performance and ERP Implementation (UUM Press)
Business management has entered the era of networking competition. This has moved the competition from a local to that of global business environments and from company against company to that of a supply chain against supply chain. Enterprise Resource Planning (ERP) systems have become one of the main pre-requisites and a strong and integrated IT infrastructure for many companies enabling them to compete and to gain a competitive advantage in the local and global marketplace. ERP systems are considered as the backbone for e-business as well as for the whole supply chain, particularly for those companies that undertake online business transactions. Supply Chain Management Performance and ERP Implementation is unique in its breadth of coverage the impact of ERP systems functionality on Supply Chain Management (SCM) performance with respect to Top Management Support, Employee Involvement, and Cultural Fit. It is presented and explained in a clear, straightforward manner based on the empirical data through a research.
Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics
Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.
Computerworld
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.