This compendium discusses the adaptive enterprise architecture (AEA) as information to support decisions and actions for desired efficiency and innovation (outcomes and impacts). This comprehensive information-driven approach uses data, analytics, and intelligence (AI/ML) for architecting intelligent enterprises.The unique reference text includes practical artefacts and vivid examples based on both practice and research. It benefits chief information officers, chief data officers, chief enterprise architects, enterprise architects, business architects, information architects, data architects, and anyone who has an interest in adaptive and digital enterprise architecture.

This book presents a comprehensive and novel adaptive enterprise service systems approach to adapting, defining, operating, managing and supporting (ADOMS) the adaptive cloud enterprise architecture. The adaptive cloud enterprise architecture provides a platform for creating the service-centric agile enterprise. This book is intended for enterprise strategists, enterprise architects, domain architects, solution architects, researchers, and anyone who has an interest in the enterprise architecture and cloud computing disciplines.

This book investigates solutions incorporated by architecture boards in global enterprises to resolve issues and mitigate related architecture risks, while also proposing and implementing an adaptive integrated digital architecture framework (AIDAF) and related models and approaches/platforms, which can be applied in companies to promote IT strategies using cloud/mobile IT/digital IT. The book is divided into three main parts, the first of which (Chapters 1–2) addresses the background and motivation for AIDAF aligned with digital IT strategies. The second part (Chapter 3) provides an overview of strategic enterprise architecture (EA) frameworks for digital IT, elaborates on the essential elements of EA frameworks in the digital IT era, and advocates using AIDAF, models for architecture assessment/risk management, knowledge management on digital platforms. In turn, the third part (Chapters 4–7) demonstrates the application and benefits of AIDAF and related models, as shown in three case studies. “I found this book to be a very nice contribution to the EA community of practice. I can recommend this book as a textbook for digital IT strategists/practitioners, EA practitioners, students in universities and graduate schools.” (From the Foreword by Scott A. Bernard) “In this new age of the digital information society, it is necessary to advocate a new EA framework. This book provides state-of-the art knowledge and practices about EA frameworks beneficial for IT practitioners, IT strategists, CIO, IT architects, and even students. It serves as an introductory textbook for all who drive the information society in this era.”(From the Foreword by Jun Murai)

New Paradigm for considering application integration and B2Bproblems Heightens the importance of conveying meaning betweensystems Addresses movement in the EAI space toward more data handlingcapabilities Offers a solution for the multitude of managers disconnectedwith the latest technologies Leverages the technical advances made in complex dataintegration over 15 years Shifts the focus from technology solutions to informationsolutions Relies heavily on the use of practical examples, tips,definitions, and soapbox excerpts throughout the main body oftext

Provides knowledge that forms the basis for successful co-engineering of the adaptive complex enterprise for services delivery.

This volume constitutes the proceedings of the combined 7th International Workshop on Trends in Enterprise Architecture Research (TEAR 2012) and the 5th Working Conference on Practice-Driven Research on Enterprise Transformation (PRET-5), held in Barcelona, Spain, October 23-24, 2012, and co-located with The Open Group's Conference on Enterprise Architecture, Cloud Computing, and Security. Joining the forces of the two events with The Open Group Conference provided the unique opportunity for an intensive exchange between practitioners as well as for discussions on standardization efforts and academic research in the areas of enterprise transformation and enterprise architecture (EA). Based on careful reviews by at least three Program Committee members, 18 papers were chosen for inclusion in these proceedings. They were presented in six sessions on enterprise architecture management (EAM) effectivity, languages for EA, EAM and the ability to change, advanced topics in EA, governing enterprise transformations, and EA applications.

This book contains extended, revised and selected papers from the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, held online during April 2021. The 26 papers presented in this volume were carefully reviewed and selected for inclusion from a total of 241 submissions. They are grouped in sections on databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and internet computing, human-computer interaction, and enterprise architecture.

Even though the field of enterprise architecture (EA) has matured, many organisations still struggle with its development and implementation, particularly those organisations involved in continuous transformational cycles and subjected to different environmental trends. This book is intended to assist organisations in getting a grip on the factors influencing EA implementation and gaining a deeper understanding of why things happen the way they do in the practice of EA. It is a comprehensive and definitive resource that is useful to both business professionals and academics. The book presents an approach for the development, implementation, or institutionalisation of EA that is independent of any method or other architecture frameworks. It can be applied directly using a realistic selection of organizational variables. The approach has two distinctive features that support EA, even in complex environments: From both technical and non-technical perspectives, it identifies influencing factors and how they manifest in the practice of EA in an organization. It offers linear and practical mechanisms for developing and implementing EA to fortify the practice of the concept in an organisation. This approach represents a significant contribution to EA. Starting with descriptions for EA, the book offers deepened models and frameworks for the development and implementation of EA at the domain level. It also covers factors upon which a model is built for the institutionalisation of the concept. Additionally, the book discusses the implications of EA for sponsors, architects, and other stakeholders responsible for EA development, implementation, and institutionalisation.

The five digital forces (mobility and pervasive computing, cloud, big data, artificial intelligence and robotics, and social media) are poised to bring great academic and industrial breakthroughs. All stakeholders want to understand how to best harness these forces to their advantage. While literature exists for understanding each force independently, there is a lack of knowledge on how to utilize all the forces together to realize future enterprises. Advanced Digital Architectures for Model-Driven Adaptive Enterprises is an essential reference source that explores the potential in unifying the five digital forces to achieve increased levels of agility, efficiency, and scale. Featuring coverage on a wide range of topics including socio-technical systems, adaptive architectures, and enterprise modeling, this book is ideally designed for managers, executives, programmers, designers, computer engineers, entrepreneurs, tool builders, digital practitioners, researchers, academicians, ands students at the graduate level.

This book constitutes the refereed proceedings of the 32nd International Conference on Conceptual Modeling, ER 2014, held in Atlanta, GA, USA. The 23 full and 15 short papers presented were carefully reviewed and selected from 80 submissions. Topics of interest presented and discussed in the conference span the entire spectrum of conceptual modeling including research and practice in areas such as: data on the web, unstructured data, uncertain and incomplete data, big data, graphs and networks, privacy and safety, database design, new modeling languages and applications, software concepts and strategies, patterns and narratives, data management for enterprise architecture, city and urban applications.