This book describes Service-Oriented Architecture (SOA) and the significant factors which affect its adoption, such as governance, strategy, complexity, Return on Investment (ROI), business and IT alignment, culture and communication, costs, and security. The study on which this book is based, involved a quantitative analysis to investigate the influential factors for adopting SOA, paving the way to further research in the field.

With the rise of using internet some new trends like E-commerce, E-business, E-marketing and online shops are becoming the importance parts of new business in 21th century. Having a good framework for online marketing is the most important part of marketing strategy for any companies. World Wide Web appropriates effective tools for marketers such as Social Medias, Search engines, online advertisement, Email marketing, pop up Advertisement and etc. Many E-marketing frameworks exist for supporting E-marketing campaign by using only one tool or mixing some of them. Marketing expert's focused on Search engines optimization and social media as new emerging trends in online environment. This book will propose an optimized and effective multiple channels framework for E marketing by combining search engines optimization and social media networks with one of the oldest tools (Email marketing) to achieve better performance in E-marketing.

Analytic Hierarchy Process (AHP) is one of the methods in Decision Support Systems (DSS). AHP has been criticized mainly for its priority deviation method, which is one of AHP's main components. The priority derivation method, also referred to as prioritization method, is used to derive priorities in order to represent the rank of alternatives in AHP. There are two approaches to derive priorities in AHP, which are non-optimization approach and optimization approach. However, this study found three main problems in the current prioritization methods which are inconsistency of the judgment, non-evolutionary computing approach, and accuracy performance of the prioritization method. In solving these problems, this study proposed Evolutionary Computing Procedure for Deriving Priorities (ECPDP). The ECPDP is an EC-based procedure and derives priorities by solving single objective optimization problem (SOP) through maximizing the accuracy of the solution, by using Total Deviation (TD) as an objective function. The result by using ECPDP is more promising as opposed to the other prioritization methods in terms of TD value.