Global Business Today or Introduction to Business Data Mining

Global Business Today

Author: Charles W L Hill

Charles Hill's Global Business Today, 3e (GBT) has become an established text in the International Business market for its excellent, but concise coverage of the key global issues including the cultural context for global business, cross-border trade and investment, the global monetary system and competition in the global environment. GBT's concise chapters give a general introduction to international business - emphasizing the environmental factors, with less coverage of operations. Charles Hill is renowned for his attention to research trends and that is evident in Global Business Today, 3e through a variety of real world examples and cases from small, medium, and large companies throughout the world.

Table of Contents:

Part I: Globalization
Chapter 1: Globalization
Part II: Country Differences
Chapter 2: Country Differences in Political Economy
Chapter 3: Differences in Culture
Part III: Cross-Border Trade and Investment
Chapter 4: International Trade Theory
Chapter 5: The Political Economy of International Trade
Chapter 6: Foreign Direct Investment
Chapter 7: Regional Economic Integration
Part IV: Global Money System
Chapter 8: The Foreign Exchange Market
Chapter 9: The Global Monetary System
Part V: Competing in a Global Marketplace
Chapter 10: Global Strategy
Chapter 11: Entering Foreign Markets
Chapter 12: Exporting, Importing, and Countertrade
Chapter 13: Global Marketing and R&D
Chapter 14: Global Manufacturing and Materials Management
Chapter 15: Global Human Resource Management

Go to: Industrial Water Quality or Literature and Revolution in England 1640 1660

Introduction to Business Data Mining

Author: David L Olson

Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding.

A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining, and the ethical aspects of data mining. (Part IV).

The author team has had extensive experience with the quantitative analysis of business as well as with data mining analysis. They have both taught this material and used their own graduate students to prepare the text's data mining reports. Using real-world vignettes and their extensive knowledge of this new subject, David Olson and Yong Shi have created a text that demonstrates data mining processes and techniques needed for business applications.