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Preface Today the world is marked by increasing complexity, where the boundaries between disciplines become increasingly interconnected. Therefore, the dialogue between different areas of knowledge is essential for the understanding and solution of the diverse challenges we face. This book, "Multidisciplinary Studies: Management and Legal Sciences", is born of this understanding, bringing a comprehensive and integrated perspective on important topics that permeate management and law. Management and the legal sciences, although traditionally seen as distinct fields, share a deep interdependence. Business and administrative decisions are inevitably shaped by regulatory and legal frameworks, as...
This book consists of fifteen chapters. In this collection of academic research reviews, we embark on an illuminating journey through a tapestry of societal, educational, economic, and behavioral dimensions. Each chapter, offering nuanced insights and scholarly examinations. The chapters within this compendium traverse a broad spectrum of subjects, encompassing the multifaceted landscape of contemporary society. From probing the depths of human behavior in the digital realm to scrutinizing educational paradigms and delving into the intricate dynamics of financial ecosystems, these chapters serve as portals into understanding our ever-evolving world. We begin with an exploration into the unde...
Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
With clarity, conscience, and courage, global-systems pioneer Jorgen Randers and his distinguished contributors map the forces that will shape the next four decades. Forty years ago, The Limits to Growth study addressed the grand question of how humans would adapt to the physical limitations of planet Earth. It predicted that during the first half of the 21st century the ongoing growth in the human ecological footprint would stop-either through catastrophic "overshoot and collapse"-or through well-managed "peak and decline." So, where are we now? And what does our future look like? In the book 2052, Jorgen Randers, one of the coauthors of Limits to Growth, issues a progress report and makes ...
This book concludes a trilogy that began with Intelligent Cities: Innovation, Knowledge Systems and digital spaces (Routledge 2002) and Intelligent Cities and Globalisation of Innovation Networks (Routledge 2008). Together these books examine intelligent cities as environments of innovation and collaborative problem-solving. In this final book, the focus is on planning, strategy and governance of intelligent cities. Divided into three parts, each section elaborates upon complementary aspects of intelligent city strategy and planning. Part I is about the drivers and architectures of the spatial intelligence of cities, while Part II turns to planning processes and discusses top-down and bottom...
This comprehensive textbook addresses one of the major public health concerns of our era – obesity. Clearly and simply, Obesity: science to practice provides a balanced, coherent account of obesity: how to define and measure it, its epidemiology, the physiological basis, associated diseases, how to assess, manage and treat it, and also strategies for prevention. The book is generously illustrated, including graphs and flow charts for easy reference. The chapters cite key references so that interested readers may pursue a given topic in more detail. Well presented and thoroughly edited by one of the leading experts in the field, this is the textbook of choice for anyone working in obesity.
This Manual focuses on issues essential for understanding licensing, including: the context in which licensing may occur; key terms of a licensing agreement and negotiation methods; and how to prepare for and negotiate a win-win licensing contract.
This book examines dynamics between demand and innovation and provides insights into the rationale and scope for public policies to foster demand for innovation.
Strategy is the most central issue in management. It has to do with defining the purpose of an organization, understanding the market in which it operates and the capabilities the firm possesses, and putting together a winning plan. There are many influential frameworks to help managers undertake a systematic reflection on this issue. The most dominant approaches are Michael Porter’s "Competitive Strategy" and the "Resource-Based View of the Firm," popularized by Gary Hamel and C.K. Prahalad. Arnoldo Hax argues there are fundamental drawbacks in the underlying hypotheses of these approaches in that they define strategy as a way to achieve sustainable competitive advantage. This line of thi...
Introduction to measurement -- The one-parameter model -- Joint maximum likelihood parameter estimation -- Marginal maximum likelihood parameter estimation -- The two-parameter model -- The three-parameter model -- Rasch models for ordered polytomous data -- Non-Rasch models for ordered polytomous data -- Models for nominal polytomous data -- Models for multidimensional data -- Linking and equating -- Differential item functioning -- Multilevel IRT models.