This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2013, held in Bangalore, India, in June 2013. The 35 revised full papers presented together with an invited paper, 12 short papers and 3 poster papers were carefully reviewed and selected from 65 submissions. The full papers are organized in the following topical sections: IS success and failure; studies of IT adoption; software development; IT in the public sector; and theory and methods.

ICT, e-government and electronic participation have become increasingly important in the public sector and the social sphere in recent years. This book presents 53 of the papers accepted for the dual IFIP EGOV-ePart conference 2016, which took place in Guimarães, Portugal, in September 2016. This conference, which consisted of five partially intersecting tracks, presented advances in the socio technological domain of the public sphere demonstrating cutting edge concepts, methods, and styles of investigation by multiple disciplines. The conference has been a premier academic forum for over 15 years and has a worldwide reputation as one of the top two conferences in the research domains of electronic, open and smart government, policy and electronic participation. The papers in this joint proceedings of the 2016 IFIP EGOV-ePart conference comprise accepted submissions from all categories and all tracks (with the exception of some 38 papers which are published separately). The book is divided into 9 sections: eParticipation, e-Government Evaluation, Open Data and Open Government, Governance, Smart Cities, e-Government Implementation and Adoption, Ph.D. Colloquium Papers, Posters, and Workshops. Offering a comprehensive overview of research and practice on electronic government and electronic participation, this book will be of interest to all those involved in the socio-technological domain of the public sphere.

This book examines the link between change and project management and how creating a closer alignment between these two methodologies can yield greater benefits and mitigate elements of failure of information systems (IS) projects. This study explores the underlying challenges and practicalities of closer integration of the two disciplines and asserts that such a successful change goes beyond the simple training of project managers in the practitioner context. Instead, it requires organizations to conceptualize the necessary challenges to realize the potential benefits of this recommended integrated approach. The integration of both project and change management has been advocated in existing research, but the challenges of moving from a current position of separate methodologies, different standards bodies and in some cases totally separate organizational structures, is a step change for many organizations. Change initiatives where good change management practices are implemented, can increase the probability of successful organizational change. The tasks of leading and sustaining change can be complex and often entail the interplay of multiple factors involving action by people at every level of the business. This book offers a guide that identifies the barriers and major challenges that may arise in the development of the closer integration of change and project management. With a better understanding of these issues, organizations can avoid such pitfalls when establishing their own integrated approach.

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.

This is an open access title available under the terms of a [CC BY-NC-ND 4.0] License. It is free to read, download and share on Elgaronline.com. Exploring academic and policy thinking on e-participation, this book opens up the organizational and institutional 'black box' and provides new insights into how public administrations in 15 European states have facilitated its implementation.

The ubiquity of technology has not only brought the need for computer knowledge to every aspect of the modern business world; it has also increased our need to safely store the data we are now creating at a rate never experienced before. Delivery and Adoption of Cloud Computing Services in Contemporary Organizations brings together the best practices for storing massive amounts of data. Highlighting ways cloud services can work effectively in production and in real time, this book is an essential reference source for professionals and academics of various disciplines, such as computer science, consulting, information technology, information and communication sciences, healthcare, and finance.

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.

With the rise of information and communication technologies in today’s world, many regions have begun to adapt into more resource-efficient communities. Integrating technology into a region’s use of resources, also known as smart territories, is becoming a trending topic of research. Understanding the relationship between these innovative techniques and how they impact social innovation is vital when analyzing the sustainable growth of highly populated regions. The Handbook of Research on Smart Territories and Entrepreneurial Ecosystems for Social Innovation and Sustainable Growth is a pivotal reference source that provides vital research on the global practices and initiatives of smart territories as well as their impact on sustainable development in different communities. While highlighting topics such as waste management, social innovation, and digital optimization, this publication is ideally designed for civil engineers, urban planners, policymakers, economists, administrators, social scientists, business executives, researchers, educators, and students seeking current research on the development of smart territories and entrepreneurship in various environments.

This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers. The book brings together 47 chapters divided into six main parts: • Part I. From Machine Learning to Data Mining.• Part II. Big Data and Collaborative Decision Support Systems,• Part III. Computer Vision Analysis, Detection, Tracking and Recognition,• Part IV. Data-Intensive Text Processing,• Part V. Innovations in Web and Internet Technologies, and• Part VI. New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decision management and support systems, natural language processing, image and text processing, Internet technologies, and information and software engineering, as well as for students interested in such research areas.

Advances in medical technology increase both the efficacy and efficiency of medical practice, and mobile technologies enable modern doctors and nurses to treat patients remotely from anywhere in the world. This technology raises issues of quality of care and medical ethics, which must be addressed. E-Health and Telemedicine: Concepts, Methodologies, Tools, and Applications explores recent advances in mobile medicine and how this technology impacts modern medical care. Three volumes of comprehensive coverage on crucial topics in wireless technologies for enhanced medical care make this multi-volume publication a critical reference source for doctors, nurse practitioners, hospital administrators, and researchers and academics in all areas of the medical field. This seminal publication features comprehensive chapters on all aspects of e-health and telemedicine, including implementation strategies; use cases in cardiology, infectious diseases, and cytology, among others; care of individuals with autism spectrum disorders; and medical image analysis.