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Spin-offs, Firm Growth and Regional Impact

Building on a variety of contrasting perspectives, this book focuses on the connection between university spin-offs and regional economic development. It aptly captures the diverse range of concepts relating to the main participants in the process of university spin-offs, reflecting on their roles and how these may have changed.

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Editors: and

With contributions from an international range of active researchers, this Research Agenda provides a timely literature review on core topics related to consumer financial behavior. Chapters cover financial management behavior, desirable financial behavior and any financial behavior that helps improve financial wellbeing.

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Measurement, Driving Forces and Consequences

This timely book explores the measurement and consequences of financialisation, as well as its driving forces, to take a fresh look at reconciling the twin concepts of financialisation and financial development. Imad Moosa provides a critical review of these two separate strands – the individual measures of economic development and financialisation – on the grounds that they are inadequate to represent a multi-dimensional process.

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Availability, Income and Productivity

As the world population increases, food security is a major global issue. This book provides an in-depth examination of the three necessary conditions for the achievement of food security: (1) availability of food; (2) adequate incomes and (3) increasing agricultural productivity. The author draws lessons from history, explores these three conditions and discusses the prospect of feeding an expected nine billion people in 2050.

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A Multi-Paradigmatic Look at Bias in the Mainstream

Utilizing a multi-paradigmatic approach in considering the scientific methodology of mainstream financial economics, and suggesting improvements, this book identifies eleven biases of the scientific methodology of mainstream financial economics, namely: intellectual bias, local bias, fad bias, ideological bias, automaticity bias, confirmation bias, cultural bias, stereotyping bias, under-productivity bias, homogeneity bias, and isolation bias.

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Actionable Insights for an Equitable and Resilient Recovery
Editor:

Healing the economic and social wounds inflicted by the COVID-19 pandemic will take time, but the long road to recovery presents a unique opportunity to build back better. To catalyze change and succeed in the post-pandemic era, economic development policy and practice must see the crisis as an opportunity to rethink and redesign regional economic systems. This will involve creating a shared understanding of – and policies to address – the differential impacts of the pandemic across occupations, industries, and socioeconomic groups. This book explores the challenges and opportunities heralded by the virus in the broadest sense and presents case studies on equitable and inclusive economic recoveries.

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Highlighting the diversity and complexity of the global Basic Income debate, Malcolm Torry assesses the history, current state, and future of research in this important field. Each chapter offers a concise history of a particular subfield of Basic Income research, describes the current state of research in that area, and makes proposals for the research required if the increasingly widespread global debate on Basic Income is to be constructive.

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Illustrating the development of Artificial Intelligence (AI) and changes it has generated in the economy, society and culture, this expansive book continues the debate concerning the digital revolution and the rise of the algorithmic society.

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The Impact of De-regulation, Organizational Change and Social Fragmentation on Worker Representation and Action

Positioning industrial relations in a discussion that is sensitive to broader political, historical, and ideological tensions, this insightful book offers reflections on the politics of de-regulation that have developed in southern European work and employment relations over the past 20 years.

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Following rapid technological advancements that have taken place throughout the late twentieth and early twenty-first centuries, this intriguing book provides a dynamic agenda for the study of artificial intelligence (AI) within finance. Through an in-depth consideration of the use of AI, it utilizes case study examples to investigate AI’s effectiveness within investment and banking.

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