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Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.
This state-of-the-art Research Handbook presents a comprehensive overview of the key strategic challenges that firms face when dealing with digital markets, platforms, and products and services, from old strategy questions in need of different solutions to entirely novel issues posed by the new competitive digital context. This title contains one or more Open Access chapters.
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Governance and Sustainability in Information Systems, held in Hamburg, Germany, in September 2011. The 14 revised full papers and 16 research in progress and practice papers presented were carefully reviewed and selected from 47 submissions. The full research papers are organized in the following topical sections:governance, sustainability, design themes, customer and user integration, and future subjects.
"This handbook provides insight into the field of mobile multimedia and associated applications and services"--Provided by publisher.
Mobile Information Systems II provides a collection of research on the planning, analysis, design, construction, modification, implementation, utilization, evaluation, and management of mobile information systems. The articles focus on the implications of this research in the world of commerce, and address technical issues and constraints on mobile information systems functionalities and design.
Researchers, business people and policy makers have recognized the importance of addressing technological, economic and social impacts in conjunction. For example, the rise and fall of the dot-com hype depended on the strength of the business model, on the technological capabilities avalable to firms and on the readiness of the society and economy, at large, to sustain a new breed of business activity. Social and Economic Transformation in the Digital Era addresses this challenge by assembling the latest thinking of leading researchers and policy makers in key subject areas of the information society and presents innovative business models, case studies, normative theories and social explanations.
Management and organization research has rediscovered individual agency, innovation and entrepreneurship. As such, there is a risk of overlooking the power of self-reinforcing processes in and among organizations. This volume redirects attention to these processes, including: escalating commitment, organizational imprinting and path dependence.
This book presents the proceedings of the NeuroIS Retreat 2022, June 14-16, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.
This book constitutes the refereed proceedings of the 23rd International Conference on Advanced Information Systems Engineering, CAiSE 2011, held in London, UK, in June 2011. The 42 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 320 submissions. In addition the book contains the abstracts of 2 keynote speeches. The contributions are organized in topical sections on requirements; adaptation and evolution; model transformation; conceptual design; domain specific languages; case studies and experiences; mining and matching; business process modelling; validation and quality; and service and management.
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowl...