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Book Categories |
Preface | ||
Ch. I | Organizational Data Mining (ODM): An Introduction | 1 |
Ch. II | Multinational Corporate Sustainability: A Content Analysis Approach | 9 |
Ch. III | A Porter Framework for Understanding the Strategic Potential of Data Mining for the Australian Banking Industry | 25 |
Ch. IV | The Role of Data Mining in Organizational Cognition | 46 |
Ch. V | Privacy Implications of Organizational Data Mining | 61 |
Ch. VI | Knowledge Exchange in Organizations is a Potential, Not a Given: Methodologies for Assessment and Management of a Knowledge-Sharing Culture | 79 |
Ch. VII | Organic Knowledge Management for Web-Based Customer Service | 92 |
Ch. VIII | A Data Mining Approach to Formulating a Successful Purchasing Negotiation Strategy | 109 |
CH. IX | Mining Meaning-Extracting Value from Virtual Discussions | 125 |
Ch. X | An Intelligent Support System Integrating Data Mining and Online Analytical Processing | 141 |
Ch. XI | Knowledge Mining in DSS Model Analysis | 157 |
Ch. XII | Empowering Modern Managers: Towards an Agent-Based Decision Support System | 170 |
Ch. XIII | Mining Message Board Content on the World Wide Web for Organizational Information | 188 |
Ch. XIV | Data Warehousing: The 3M Experience | 202 |
Ch. XV | Data Mining in Franchise Organizations | 217 |
Ch. XVI | The Use of Fuzzy Logic and Expert Reasoning for Knowledge Management and Discovery of Financial Reporting Fraud | 230 |
Ch. XVII | Gaining Strategic Advantage Through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries | 247 |
Ch. XVIII | Translating Advances in Data Mining to Business Operations: The Art of Data Mining in Retailing | 263 |
Ch. XIX | Impediments to Exploratory Data Mining Success | 280 |
Ch. XX | Towards Constructionist Organizational Data Mining (ODM): Changing the Focus from Technology to Social Construction of Knowledge | 300 |
Ch. XXI | E-Commerce and Data Mining: Integration Issues and Challenges | 321 |
Ch. XXII | A Framework for Organizational Data Analysis and Organizational Data Mining | 334 |
About the Authors | 357 | |
Index | 367 |
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