Bøger udgivet af now publishers Inc

Presents a case study protocol and analyses of nine technology transfer success stories across federal agencies and their research laboratories to begin to fill a gap in the existing literature where there is less available research on the impact and the mechanisms of technology transfer from federal labs.

This monograph reviews organizational ambidexterity in entrepreneurship studies. The author examines the past 15 years of published research by focusing on the contribution of organizational ambidexterity to the fields of management studies and entrepreneurship studies and provide research directions in organizational ambidexterity.

Synthesizes the authors' previous work to draw conclusions and identify new directions. The book puts the spotlight on collaborative innovation blocs and improves our understanding of how and why entrepreneurial plans are formulated and revised over time.

Presents findings from a review of the alignment and innovation literature streams published between 1990 and 2020. The authors summarize approaches, challenges, and opportunities, and reveal that alignment scholars tend to overlook the complexities inherent in the process of innovating and view innovation as a black box.

ENACT is a research project funded by the European Commission under its H2020 program. This book reports on the ENACT work to empower the development and operation as well as the continuous and agile evolution of Smart IoT Systems, which is necessary to adapt the system to changes in its environment.

Presents solutions for integrated Cyber-Physical Threat Intelligence for infrastructures in various sectors, such as industrial sites, air transport, gas, healthcare, and finance. The solutions rely on novel methods and technologies, such as integrated modelling for cyber-physical systems, novel reliance indicators, and data driven approaches.

Discusses decentralised wastewater treatment and the role of nature-based solutions within the context of the twenty-partner international INNOQUA project. Design and operation principles are outlined, together with performance data and practical feedback from pilot and demonstration facilities situated in eleven countries.

Summarises the literature on AI and business model innovation. The hypothesis of the book is that the deployment of AI across an industry creates new mechanisms for value creation and in turn results in new firms generating value in an industry as incumbent firms may no longer be as competitive as in the past - the 'value migration' phenomenon.

Advances in brain sensing technologies, new analysis methods, and hardware improvements have opened the door for research which will accelerate with the increased commercialization of wearable technology containing brain sensors. This book examines brain signals from an HCI perspective, focusing on work that makes an HCI-related contribution.

By explaining how the result of an operation was derived from its inputs, data provenance has proven to be a useful tool that is applicable in a wide variety of applications. This monograph gives a comprehensive introduction to data provenance concepts, algorithms and methodology developed in the last few decades.

Presents a comprehensive overview of the applications of machine learning algorithms to the Crunchbase database. The authors highlight the main research goals that can be addressed and review all the variables and algorithms used for each goal.

Robotics and related technologies are central to the ongoing digitization and advancement of manufacturing. In this work, the authors study the changing technological landscape of robotics and ""internet-of-things"" (IoT)-based connective technologies over the last 8-10 years in the wake of Industry 4.0.

Examines the existing attempts to establish decentralized autonomous organization (DAO) concepts and legal frameworks. The book evaluates the technical solutions and internal governance solutions promulgated by DAO projects. Particular emphasis is placed on the duality and feedback effects between internal DAO governance and external legal design.

Promotes the use of process theory as an essential part of the body of knowledge relative to information systems which should be nurtured and expanded. The book addresses why process theory is important, how it can enhance the discipline, and what needs to be tackled to make the development and application of process theory routine.

Traces the historical roots of science and technology advice for Congress and chronicles the creation and evolution of the four organisations that provided this advice over the past half century - the National Research Council, the Congressional Research Service, the former Office of Technology Assessment, and the Government Accountability Office.

Multi-tenancy is a crucial tenet for cloud dataservice providers that allows sharing of data centre resources across tenants, thereby reducing cost. In this monograph the authors review architectures of today's cloud data services, and identify trends and challenges that arise in multi-tenant cloud data services.

Explores a class of methods that are capable of formally verifying properties of deep neural networks. The book introduces a unified mathematical framework for verifying neural networks, classify existing methods under this framework, provide pedagogical implementations of existing methods, and compare those methods on a set of benchmark problems.

Provides a comprehensive introduction to generating advanced data analytics on graphs that allows us to move beyond the standard regular sampling in time and space to facilitate modelling in many important areas.

The authors of this monograph survey a suite of techniques based on the theory of polynomials, collectively referred to as polynomial methods. These techniques provide useful tools for the design of highly practical algorithms with provable optimality, and for establishing the fundamental limits of inference problems through moment matching.

Presents the body of econometric techniques that are customized to experimental applications. This monograph is aimed at two types of reader -- the experimental economist who is interested in expanding their skill set in econometric techniques and the econometrician interested in the econometric techniques currently being used by experimentalists.

Focuses on the CEO advice taking process and examines the case where advisers provide strategic advice to the top management of a firm. This review suggests that the process of business advice could be divided into attraction, engagement, exit and extension.

Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing links between the analogue and digital signal processing domains.

Reviews the existing literature on immigrant entrepreneurship by focusing on immigrant entrepreneurs' personal characteristics, their immigrant ethnic community networks, and the external ecosystem.

Failure to learn from past mistakes and successes has consistently been a major obstacle to improving IT project management. IT Project Management: Lessons Learned from Project Retrospectives 1999-2020 addresses this shortcoming by integrating, updating, and extending the research findings from four previous studies on IT project retrospectives.

Examines an overlooked metric associated with the impact of the Bayh-Dole Act, namely its effect on influencing university-based technology transfer policies in other countries. To substantiate this thesis, Bayh-Dole like university technology transfer policies in 20 other countries are reviewed.

Situates digital security within the broader landscape of social and political theories of security, and uses a critical security lens to encourage the reader to explore how digitally networked technologies are both included in and influenced by the co-creation of artefacts and practices in open environments.

Provides a review of existing graph kernels, their applications, software plus data resources, and an empirical comparison of state-of-the-art graph kernels. The book focuses on the theoretical description of common graph kernels, and on a large-scale empirical evaluation of graph kernels.

Presents a comprehensive statistical learning framework that uses Distributionally Robust Optimization (DRO) under the Wasserstein metric to ensure robustness to perturbationsin the data. The authors introduce the reader to the fundamental properties of the Wasserstein metric and the DRO formulation, before explaining the theory in detail.

Provides an overarching snapshot of where semantics in robotics stands today. The authors establish a taxonomy for semantics research in or relevant to robotics, split into four broad categories of activity in which semantics are extracted, used, or both.

Addresses several network communication problems which can be considered as building blocks of networks. The book considers these problems from both the data transmission and the data storage perspectives, and devises structured coding schemes for the finite alphabet cases of these problems.