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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.

Addresses several variants of a general adversarial binary detection problem, depending on the knowledge available to the Defender and the Attacker of the statistical characterization of a system. The authors lead the reader through the considerations and solutions under two hypotheses, using a framework that can be adopted in many applications.

Focuses on the battery electric vehicle segment of the automobile industry. The book traces the development of the industry, identifies key decisions by various participants, and analyses these decisions from a platform strategy lens.

Provides the reader with a broad overview of the concept of accountability in computing. In doing so, the authors introduce the topic and place it in context of the social and systematic factors which help to define the term.

Provides an interactive step-by-step framework for analysing spoken or written language for faculty and PhD students in social sciences. The goal is to demonstrate how textual analysis can enhance research by automatically extracting new and previously unknown information from voluminous disclosures, news articles, and social media posts.

Provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.

Surveys the network-based theories of rotor angle stability that elaborate the role of power network structure. The book focuses on the connections between power network structures and system dynamic behaviours, and those graph theoretic tools tailored for power system analysis.

An atomic decomposition provides a description of the most informative features of a solution or a kind of generalized principal component analysis. In this book, the authors describe the rich convex geometry that underlies atomic decomposition and demonstrate its use in practical examples.

Does heterogeneity matter for asset pricing and, in particular, for risk premia? This volume provides a unified framework to better understand this large literature and to reconcile several of the seemingly inconsistent results found in some seminal papers.

Guides the reader through the state-of-the-art of wearable devices, detailing the challenges that researchers and designers face in achieving wide-adoption of the technology throughout society. The authors also identify the application areas where these devices are most likely to gain acceptance.

Draws on research on the marketing-finance interface to suggest how marketing and finance can become better aligned. The overriding issue is how to use the power of brands to link marketing's role in creating value for consumers and finance's role in deploying assets to obtain the best financial returns and shareholder value.

Introduces the reader to the research and practical aspects behind the approach of learning the characteristics of the acoustic environment directly from the data rather than using a predefined physical model. This book provides a comprehensive overview and insights into this burgeoning area of acoustic developments.

Provides a comprehensive introduction to the field of shape analysis, and presents the foundation of the topic in an accessible manner to readers who are not familiar with it. To do so, the authors characterize the essence of shape analysis compared to more classical pointer analyses.

Focuses on a technique called Network Time Distribution, which is often more cost-effective than GPS-based timing. The technique uses a master/slave construction to synchronize the time throughout devices on a network. To do this, two-way message exchange is required which can be subject to network delays.

Presents the findings and results of the Bots2ReC project, and should be useful for Construction and Robotics Engineers, as well as graduate level students and researchers active in these fields.

Surveys both classical literature and recent developments on the mismatched decoding problem, with an emphasis on achievable random-coding rates for memoryless channels. In doing so they present two widely-considered achievable rates known as the generalized mutual information and the LM rate, and overview their derivations and properties.

Provides a systematic review of developments in strategic entrepreneurship research, mapping its evolution as a field of research. Beyond mapping and assessing the evolution of strategic entrepreneurship research, the authors identify areas where further theoretical, conceptual and empirical studies would be particularly useful.

Formalizes the ecologist's regime shift concept that allows the identification of two distinct regime shift mechanisms, shock-induced and bifurcation-induced regime shift, before defining ecological resilience as a regime transition system.

Introduces the novel concept of Coded Computing. Coded Computing exploits coding theory to optimally inject and leverage data/task redundancy in distributed computing systems, creating coding opportunities to overcome the bottlenecks.

Focuses on the fundamental underlying mathematical models, into a powerful framework for performing optimization of caching systems. In doing so, the authors present a background for the anticipated explosion in caching research, and provide a didactic view into how engineers have managed to infuse mathematical models into the study of caching.

Provides a review of the research in this new and growing field. The book describes econometric methods for empirical climate modelling that can account for wide-sense non-stationarity; considers hazards confronting empirical modelling of nonstationary time-series data; and provides a brief excursion into climate science.

Makes the case that US economic growth policy has not responded to the growing competitive pressures from globalization. Specifically, the federal government has placed excessive reliance on business-cycle management and recently on trade barriers in the form of tariffs.

Examines the impact of service industrialization on employment and wages in the US to understand the forces that drive them; using national income and labor data until 2017 to presents a macroeconomic context for an analysis of employment and wages; and identifies implications of the above for management and public policy.