ERP (Enterprise Resource Planning) systems are now the backbone of the information systems in public and private sector organisations. Yet difficulties remain. This book provides a unique and comprehensive insight into ERP systems, from both a social and a technical viewpoint. Without trying to build an artificial consensus, several case studies are commented upon alternatively with a technical and social view, showing how the same facts can have different interpretations.

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises.

The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises' activities at different decision levels is also covered.

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.

ERP (Enterprise Resource Planning) systems are now the backbone of the information systems in many commercial companies and public sector organisations. The intended benefits of these systems are well known (coping with the fragmentation of former information systems, providing functional integration and supporting best practices for instance). Yet, their implementation in a company is still a traumatising project, with these difficulties being reported in many articles and books explaining reasons for failure, listing conditions of success, or suggesting project management methods aimed at improving their implementation.

A Socio-technical Insight on ERP Systems and Organisational Change is based on the premise that two distinct communities are interested in this problem: engineers and consultants on the one hand, and researchers of Human and Social Sciences on the other hand. The first group often emphasises the technical benefit of the ERP adoption as a source of performance improvement, while the latter group is mainly oriented on the difficulties - and perhaps impossibility - of the adoption of such systems by individuals and organisations.

A Socio-technical Insight on ERP Systems and Organisational Change brings together the views of experts from the two communities to allow for interpretations of the different interrelations amongst ERP systems, organisations and individuals. As ERP systems are software systems that are supposed to support both organisation activity and individual work, the book emphasises not only the influence of the software on the organisation but also how the different ways they are used in practice result in the unpredictable mutualadjustment between those in the organisation and the tool. Together, the chapters illustrate various aspects of this mutual adjustment and are written by engineers, computer scientists, consultants, sociologists, economists and researchers situated in the information and communication sciences. This affords a unique and comprehensive insight into the problem. Without trying to build an artificial consensus, several case studies are commented upon alternatively with a technical and social view, showing how the same facts can have different interpretations providing a better understanding of the phenomenon in question.

A Socio-technical Insight on ERP Systems and Organisational Change is a must-read text for students and researchers in management, engineering science and sociology, as well as for technical and human resource managers and consultants in charge of implementation projects.