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While considerable efforts have been made to conceptualize and outline the theoretical and normative logic of mission-oriented innovation policies and the role of the entrepreneurial state, there is a stark lack of empirical studies concerning how missions are designed and executed, and when they may work or do not. How Fares the Entrepreneurial State? reviews theoretical rationales for mission-oriented innovation policy and provides an empirical overview of 30 articles which together cover 51 concluded or ongoing missions from around the world. The authors synthetize varieties of mission formulations, actors involved, and analyze characteristics of missions described as more or less failed or successful. Among the projects analyzed, many do not fulfill common definitions of 'innovation missions'. Missions related to technological or agricultural innovations seem more often successful than broader types of missions aimed at social or ecological challenges, and challenges in the governance and evaluation of missions remain unresolved in the literature.

The Family Firm provides a comprehensive literature review of the heterogeneous characteristics of family firms based on over 400 recent and relevant academic articles. The review of the literature is organized around five main topics: business and family values, succession, family firm strategies, family ownership and governance, and financial policies. The literature review is supplemented with the analysis of a detailed survey of more than 900 Dutch family firms. This empirical analysis serves to illustrate that family firms indeed exhibit substantial heterogeneity along the five main topics considered in the review. In addition, the empirical analysis also highlights that different dimensions of heterogeneity are often strongly correlated. This monograph advances our understanding of family firms by taking stock of extant work and highlighting important research gaps. There are important practical implications in that the heterogeneous nature of family firms might make overly broad regulatory actions ineffective. Policymakers should take an interest in this work as it allows them to accommodate specific regulations to the intended subset of family firms. The findings should also interest family entrepreneurs and investors in family firms by providing a general theoretical and practical overview of how family firms differ from each other and under which circumstances specific actions, organizational strategies, and corporate behavior might have heterogeneous effects.

Deep learning (DL) has proven to be a highly effective approach for developing models in diverse contexts, including visual perception, speech recognition, and machine translation. Automated deep learning (AutoDL) endeavors to minimize the need for human involvement and is best known for its achievements in neural architecture search (NAS). In this monograph, the authors examine research efforts into automation across the entirety of an archetypal DL workflow. In so doing, they propose a comprehensive set of ten criteria by which to assess existing work in both individual publications and broader research areas, namely novelty, solution quality, efficiency, stability, interpretability, reproducibility, engineering quality, scalability, generalizability, and eco-friendliness. Aimed at students and researchers, this monograph provides an evaluative overview of AutoDL in the early 2020s, identifying where future opportunities for progress may exist.

This monograph reports the findings of a workshop held at Google (co-organized by Stanford University and the University of Wisconsin-Madison) on the dual-use dilemma posed by GenAI.

The Corporate Governance of Business Groups first summarizes how the existing body of literature has defined and studied business groups (BG). It then discusses the arguments for why BGs exist and persist.

This collection of essays exposes the reader to the haptics field, the haptic sense, and some examples of haptic technology. They cover over 50 years of research and terminology, and thus will be a handy reference for any researcher.

Timeliness, Accuracy, and Relevance in Dynamic Incentive Contracts examines managerial performance measures from the perspective of timeliness, accuracy, and relevance in multi-period incentive problems.

Multi-View Stereo: A Tutorial presents a hands-on view of the field of multi-view stereo with a focus on practical algorithms. It frames the multiview stereo problem as an image/geometry consistency optimization problem. It describes in detail its main two ingredients: robust implementations of photometric consistency measures, and efficient optimization algorithms. It then presents how these main ingredients are used by some of the most successful algorithms, applied into real applications, and deployed as products in the industry.

Alfonso Farina, one of the world's leading experts on RADAR, provides a personal reflection on the major leading technical advancements during his distinguished career in academia and industry. Ultimately the author is looking to find beauty at the intersection of mathematics and engineering. He coins the term algolet as a small algorithm that he has used in his career which can be used to produce an illustration suitable for printing on a T-shirt. In doing so, he uses the 700-plus publications he has authored as his source.In the first of a 3-part series he looks at the major developments in Adaptive Arrays for RADAR and Tracking Algorithms. He puts historical context around the findings and highlights some of the most successful techniques and their applications.The reader is treated to a gentle stroll through the career of a leading researcher whose quest has been to help humanity improve its quality of life on earth through engineering and technology. An ambitious goal that he is still pursuing.