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Handbook of Strategic e-Business Management

This research handbook provides a comprehensive, integrative, and authoritative resource on the main strategic management issues for companies within the e-business context. It covers an extensive set of topics, dealing with the major issues which articulate the e-business framework from a business perspective. The handbook is divided into the following e-business related parts: background; evolved strategic framework for the management of companies; key business processes, areas and activities; and, finally, emerging issues, trends and opportunities, with special attention to diverse Social Web-related implications. The articles are varied, timely and present high-quality research; many of these unique contributions will be especially valued and influential for business scholars and professionals interested in e-business. Many of the contributors are outstanding business scholars who are or have been editors-in-chief of top-ranked management and business journals or have made significant contributions to the development of their respective fields.

Their contribution on e-business should be considered and tracked in future.
References Arias-Aranda, D., Navarro-Jiménez, M.I., & Zurita-López, J. M. (2010).
A fuzzy expert system for business management. Expert Systems with
Applications, 37(12), 7570–7580. Auramo, J., Kauremaa, J., & Tanskanen, K. (
2005). Benefits of IT in supply chain management: An explorative study of
progressive companies. International Journal of Physical Distribution and
Logistics Management, 35(2), ...

Data Mining III

Data Mining brings together techniques from machine learning, pattern recognition, statistics, databases, linguistics and visualization in order to extract information from large databases. Originally principally concerned with behavioural applications, such as the understanding of customer behaviour, its scope has now been widened with the introduction of Text Mining techniques. Areas now encompassed by Data Mining include military, market, and competitive intelligence applications, taxonomies and internet search techniques, and knowledge management applications. Featuring almost 100 contributions from academics and practitioners working around the world, this book contains the proceedings of the Third International Conference on Data Mining.

Featuring almost 100 contributions from academics and practitioners working around the world, this book contains the proceedings of the Third International Conference on Data Mining.