Erp Systems And Organisational Change: A Socio Technical Insight

This book combines the Technology Acceptance Model (TAM) and empirical analysis to investigate the adoption of integrated enterprise business information systems (ISs). TAM has been used extensively in the study of ERP acceptance as well as factors in the success or failure of ERP. To date, the adoption of information systems has been studied using various approaches, including Theory of Reasoned Action (TRA) and Theory of Planned Behaviour (TPB), both of which have roots in cognitive psychology (Nicolas et al., 2008). Even though these models have been used in research, the TAM has succeeded in capturing the attention of the information systems community. The book also analyses Knowledge Management Systems (KMSs), illustrating their function as information technologies for storing, improving and distributing intra- and intercompany knowledge. Knowledge management systems are presented as likely the most debated and polemicized topic in the field of knowledge management. Even though these systems are not a crucial aspect of knowledge management, it is evident that all major players in the ERP industry have cloud- and installation-based KMS solutions that they integrate with their ERP modules.

We live in the worlds that we help to create every day. Every activity either supports an existing system or effects some change, however small. But is it possible to consciously create the worlds in which we want to live?

This book is a collection of tutorial-like chapters on all core topics of signals and systems and the electronic circuits. All the topics dealt with in the book are parts of the core syllabi of standard programs in Electrical Engineering, Electrical and Computer Engineering, and Electronics and Telecommunication Engineering domains. This book is intended to serve as a secondary reader or supplementary text for core courses in the area of signals and systems, electronic circuits, and analog and digital signal processing.

This book sets out to reframe the theory of real options so that it can be used to support environmental investments for climate change adaptation and mitigation. Climate change policy often involves making decisions that concern extended time periods, and doing so under considerable uncertainty. By expanding and broadening the framework of real options, this book first introduces readers to new ways of quantifying investment decisions that can much more effectively address the shape and size of the uncertainty than traditional approaches using Net Present Value. In turn, the second part of the book applies this new theoretical framework to climate change policy by presenting a number of examples, and by providing a general perspective on investment decisions related to climate change and how to prioritize them.

J. P. La Salle has developed in [20] a stability theory for systems of difference equations (see also [8]) which we introduce in the first chapter within the framework of metric spaces. The stability theory for such systems can also be found in [13] in a slightly modified form. We start with autonomous systems in the first section of chapter 1.