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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.

Many organizations, including government institutions and agencies, continue to increase their financial investment on information technology (IT) solutions. Despite these investments, during the global pandemic, employees and managers are either struggling or unequipped to use these tools effectively and efficiently for sustainability, competitive advantage, and decision making. Due to global pandemics, companies must harness the power of various digital channels such as big data analytics and artificial intelligence to better serve their customers and business partners. Using Information Technology Advancements to Adapt to Global Pandemics provides insights and understanding on how companies and organizations are using advances in IT to adapt to global pandemics such as COVID-19. It explores how the various IT approaches can be used for strategic purposes. Covering topics such as higher education institutions, religious organizations, and telework, this premier reference source is an essential resource for government officials, business leaders and managers, industry professionals, IT specialists, policymakers, libraries, academicians, students, and researchers.

In recent years, there has been steady increase in the interest shown in both big data analytics and the use of information technology (IT) solutions to improve healthcare services. Despite the growing interest, there are limited materials, to addressing the needs and challenges posed by the activities and processes including the use of big data. From IT solutions'perspectives, this book aims to advance the deployment and use of big data analytics to increase patients'big data usefulness and improve healthcare service delivery.The book provides significant insights and useful guide on how to access and manage big data, in improving healthcare service delivery. The book contributes a fresh perspective, which primarily comes from the complementary use of analytics approach with actor-network theory (ANT), and other techniques, in advancing healthcare service delivery. Accessing and managing healthcare big data have always been a challenging exercise. Due to the sensitivity of the health sector, the focus on patients'big data is from either technical or social perspective. Thus, the book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constrain the use of patients'big data for health services. By doing so, the book brings a different dimension and advance health service delivery.Providing a timely and important contribution to this critical area, this book is a valuable, international resource for academics, postgraduate students and researchers in the areas of IT, big data analytics, data management and health informatics.