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Business and Economics (German Language)

Alicia Gerlach

Nachhaltige Einkaufsentscheidungen im B2B und B2C

&lt;p&gt;Einf&amp;uuml;hrung.- Der Einfluss von Gruppen und Individuen auf das Treffen TCO-optimaler Entscheidungen.- Der Einfluss der Darstellungsform von Energieinformationen auf &amp;ouml;konomisch nachhaltige Kaufentscheidungen.- Schlussbetrachtung.- Literaturverzeichnis.&lt;/p&gt;

A rollicking guide to&nbsp;a lifetime of choices, full of practical tips for getting the most from&nbsp;your time and money—from economist and international bestselling author Daniel Altman Stuck wondering whether to sell your house? Can’t get a good deal on a used car? Not to worry—economics can help. That’s because&nbsp;economics isn’t just about charts, markets, and prices.&nbsp;It’s also the&nbsp;science of decisions, full of pointers and principles for maximizing your wellbeing every day. Bestselling economist Daniel Altman cracks open the vault of microeconomics, revealing razor-sharp thinking&nbsp;that is&nbsp;refreshingly, actually useful. Through thirty real-world decisions—from “what’s for dinner?” to “how many kids should we have?”—he shows how a small, accessible dose of economics&nbsp;can unlock big&nbsp;gains in time, money, and sanity. The Best Decisions You’ll Ever Make is an essential toolkit for snapping out of&nbsp;decision paralysis and coming out ahead in every&nbsp;tradeoff. It’s an empowering, entertaining user’s manual&nbsp;that you’ll return to again and again—one that’ll supercharge every choice you make.

An Economist's Guide to Saving Time, Making Money, and Living Well

The Best Decisions You'll Ever Make

Artificial intelligence can enable unique socioeconomic circumstances. This interdisciplinary book applies behavioral economics to AI-driven dynamics and concepts such as cybersecurity. Blending cutting-edge theory, workable policy insights, and human-AI cooperation, this book provides an ethical governance framework readers can apply across different contexts.

 The book identifies unique AI-driven patterns, cultural nuances, and socioeconomic drivers in African contexts, asking readers to rethink their approach to knowledge-based systems, behavioral frontiers, and cybersecurity. The book adopts an interdisciplinary approach to help readers decode how AI shapes African government cybersecurity choices.With a unique focus on supporting safer and more resilient cybersecurity behaviors in Africa, the book provides insights into the interconnections between education, finance, entrepreneurship, information science, psychology, public health, and other policy domains, the book proposes workable policy tools to help action the African Union Agenda 2063. Chapters offer constructive approaches to reconfigure the UN's SDGs 2030 themes related to cybersecurity and AI.Readers will discover opportunities to bolster the capacities of policymaking and research to enable AI-driven technologies, support cultural nuances, and transform socioeconomic circumstances.&nbsp;Gbadebo Odularu 
 teaches international economics, labor economics, econometrics, macroeconomics theory, African economic development, and economic research methods at Howard University. He is Research Fellow for the Princeton University Pan-African Scientific Research Council (PASRC) and the Global Labor Organization (GLO). Odularu is also President of the Washington, DC-based professional development non-profit, African Finance and Economic Association (AFEA).&nbsp;In 2023, he was an instructor for Econometrics I for Howard University's American Economic Association (AEA) Summer Program. He is the editor or coeditor of&nbsp;
 Nutrition, Sustainable Agriculture, and Climate Change in Africa&nbsp;
 (Palgrave Macmillan, 2020),&nbsp;
 Strategic Policy Options for Bracing Nigeria for the Future of Trade
 &nbsp;(Palgrave Macmillan, 2020), and&nbsp;
 Trade Facilitation Capacity Needs
 (Palgrave Macmillan, 2019).

Policy Lessons for Africa

Behavioral Cybersecurity and Ethical AI in Relational Economics Context

A new paradigm based on quantum probability that can model stock markets and price options—and also upends classical quantitative finance. In The Quantum Stock Market, David Orrell combines theory and new empirical findings to argue for a new approach to finance based on quantum probability. The main finding, a property called q-variance, may be unique in finance in that it was discovered as the result of a prediction, affects financial markets in general, has no tunable parameter, and has important consequences for a range of topics including the pricing of financial options. The property, which somehow eluded detection for over a century, has been verified by experts in the field. And the fact that it is incompatible with classical finance—which is perhaps why it went undetected—suggests that the field must be reinvented. The aim of this book is therefore nothing less than to initiate a paradigm shift in finance. As with any new work that challenges existing methods, the ideas have already received considerable pushback from a range of sources, including leaders in the field of finance, along with physicists skeptical of applying quantum probability outside its traditional domain. Written in an interdisciplinary style that mixes mathematical equations, data analysis, and informed comment on the field of finance, it should be read by anyone—including students, academics, and practitioners—who wants to be on the right side of a paradigm shift.

And the Road Not Taken in Finance

The Quantum Stock Market

Studies in Finance and Accounting

The Role of Executive Characteristics in Financial Decision-Making

By the New York Times’s Global Economics Correspondent, an extraordinary journey to understand the worldwide supply chain—exposing both the fascinating pathways of manufacturing and transportation that bring products to your doorstep, and the ruthless business logic that has left local communities at the mercy of a complex and fragile network for their basic necessities."A tale that will change how you look at the world."&nbsp;—Mark LeibovichNamed a Best Book of the Year by Foreign Policy and The Aspen Institute * Longlisted for the Porchlight Business Book AwardHow does the wealthiest country on earth run out of protective gear in the middle of a public health catastrophe? How do its parents find themselves unable to locate crucially needed infant formula? How do its largest companies spend billions of dollars making cars that no one can drive for a lack of chips?The last few years have radically highlighted the intricacy and fragility of the global supply chain. Enormous ships were stuck at sea, warehouses overflowed, and delivery trucks stalled. The result was a scarcity of everything from breakfast cereal to medical devices, from frivolous goods to lifesaving necessities. And while the scale of the pandemic shock was unprecedented, it underscored the troubling reality that this system built on Just in Time principles was fundamentally at risk of descending into chaos all along. And it still is. Sabotaged by financial interests, a loss of transparency in markets, and worsening working conditions for the people tasked with keeping the gears turning, our global supply chain has become perpetually on the brink of collapse.In How the World Ran Out of Everything, award-winning journalist Peter S. Goodman reveals the fascinating innerworkings of our supply chain and the factors that have led to its constant, dangerous vulnerability. His reporting takes readers deep into the elaborate system, showcasing the triumphs and struggles of the human players who operate it—from factories in Asia and an almond grower in Northern California, to a group of striking railroad workers in Texas, to a truck driver who Goodman accompanies across hundreds of miles of the Great Plains. Through their stories, Goodman weaves a powerful argument for reforming a supply chain to become truly reliable and resilient, demanding a radical redrawing of the bargain between labor and shareholder interests, and deeper attention paid to how we get the things we need.From one of the most respected voices in economic journalism working today, How the World Ran Out of Everything is a fiercely smart, deeply informative look at how our supply chain operates, and why its reform is crucial—not only to avoid dysfunction in our day to day lives, but to protect the fate of our global fortunes.&nbsp;This riveting work of economic journalism breaks down the complexities of modern globalization and reveals: <ul><li>The Just in Time Fallacy: Discover how a sensible manufacturing philosophy was twisted to prioritize shareholder interests over resilience, setting the stage for global shortages and widespread inflation.</li><li>Human Cost of Efficiency: Journey from factories in Asia to the highways of the Great Plains and meet the human players—from truck drivers to railroad workers—exploited to keep the gears of commerce turning.</li><li>Monopoly Power and Price Hikes: Investigate how decades of deregulation allowed a few monopolistic companies to dominate key industries, engineering scarcity to boost profits during a worldwide catastrophe.</li><li>The Future of the Supply Chain: Explore the urgent arguments for reforming the system through reshoring and nearshoring to build a more reliable and resilient network for the things we need.</li></ul>

Inside the Global Supply Chain

How the World Ran Out of Everything

Contemporary Systems Thinking

This book investigates the social and economic behaviors exhibited by artificial intelligence, with a focus on trust, cooperation, and incentives. The first chapter examines the critical role of AI in decision-making and why understanding social and economic behavior is vital for improving AI interactions in both structured and dynamic environments. Subsequent chapters explore how AI systems such as deep reinforcement learning models simulate behaviors like trust and cooperation, and how large language models capture and reproduce patterns of social behaviors and economic incentives. By emphasizing behavioral analysis, the book aims to offer a scientific perspective on the mechanisms underlying AI’s interactions with human-like elements in decision-making. This interdisciplinary approach bridges artificial intelligence, economics, and social psychology to provide a comprehensive understanding of AI’s behavioral dynamics.

Theory and Experiments

The Social and Economic Behavior of AI Agents

Springer Climate

This book explores the impact of our consumption habits on the planet and how global crises can transform them. Connecting climate policy, sustainable development, and consumer behavior, it offers a clear framework for understanding responsible consumption. Additionally, the book examines EU climate targets, circular economy principles, and the role of digital commerce in shaping environmental outcomes. 
&nbsp;
Through an analysis of five major global crises ranging from the 1973 oil shock to the current climate emergency, the book illustrates how recent disruptions, such as the pandemic and the Russo-Ukrainian War, can prompt more conscientious choices while revealing the obstacles to lasting change. With real-world case studies and evidence-based policy insights, the book provides researchers, policymakers, and individuals interested in climate action with theoretical insights and practical tools.

From Crisis to Conscious Consumer Choices

Climate Change and Responsible Consumption

Consumers around the world often give voluntary sums of money (called tips) to service providers after those workers have served them. There are no good measures of how much is tipped worldwide, but total tips in the US food and beverage industry alone are estimated to exceed $45 billion a year. Thus, tips represent more than small change and their salience and importance have grown in recent years with the advent of digital tipping, which has expanded both the number and types of services asking for tips and the size of tips they are asking for. Academic psychologists and other scholars have studied this topic for 50 years, but that information is locked away in academic journals and writing that is not easily accessible to the general public. This book brings that work together, along with new previously unpublished analyses, in readable prose that shares what we have learned about the topic – including why people tip, who are the best and worst tippers, why we tip some occupations and not others, why tipping norms vary across countries, and what factors influence the size of tips consumers leave. The insights revealed will benefit consumers struggling to navigate the complex and evolving expectations placed on them, tipped workers seeking to increase their incomes, managers of tipped workers interested in improving employee morale and customer satisfaction, and academics interested in further advancing our understanding of this fascinating behavior.

Scientific Insights for Services Customers, Workers, and Managers

The Psychology of Tipping

What if most of the decisions you make-big and small-aren't nearly as good as you think?

We assume we're rational, that our choices line up with our goals. But research and experience tell a different story: we cling to habits, chase vague ambitions, and let hidden biases steer us off course. The result is a life full of decisions that are comfortable, familiar...and quietly wrong.

There is a better way. Economics, when stripped of its cold reputation and seen in its true form, is not about numbers nor the "economy;" it's about choices, values, and meaning. Through this lens, decision-making becomes both practical and poetic: a framework that blends rational tools with the human elements of trade-offs, uncertainty, and imagination.

Better decisions aren't about eliminating uncertainty; they're about seeing differently. Decision Poetry gives you that lens. You'll learn to recognize the hidden forces that shape your choices, replace instinctive reactions with clarity, and uncover a framework that makes even the toughest trade-offs feel deliberate and confident. Drawing on the surprising beauty of economics, Dr. Erin Boyd turns decision-making into a skill you can master-one that helps you choose better in business, in life, and in every moment that matters.

Decision Poetry

A leading psychologist and philosopher challenge the shortcomings of rational choice theory-and propose a new framework for understanding decision-makingFor many decision scientists, their starting point-drawn from economics-is a quantitative formula called rational choice theory, allowing people to calculate and choose the best options. The problem is that this framework assumes an overly simplistic picture of the world, in which different types of values can be quantified and compared, leading to the "most rational" choice. Behavioral economics acknowledges that irrationality is common but still accepts the underlying belief from economics of what a rational decision should look like.In this book, Barry Schwartz and Richard Schuldenfrei offer a different way to think about the choices we make every day. Drawing from economics, psychology, and philosophy-and both inspired by and challenging Daniel Kahneman's Thinking, Fast and Slow-they show how the focus on rationality, narrowly understood, fails to fully describe how we think about our decisions, much less help us make better ones. Notably, it overlooks the positive contribution that framing-how we determine what aspects are most important to us-contributes to good decisions. Schwartz and Schuldenfrei argue that our choices should be informed by our individual "constellation of virtues," allowing for a far richer understanding of the decisions we make and helping us to live more integrated and purposeful lives.

Rationality, Ethics, and the Art of Decision-Making

Choose Wisely

Contributions to Economics

This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.'
The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity.
Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.&nbsp;

Connecting Species

Artificial Intelligence and Networks for a Sustainable Future

The scientific understanding of energy, matter, and spacetime has advanced rapidly, whereas the study of information—its properties, behavior, and dynamics—remains underdeveloped. Despite the complexity of knowledge and information, our conceptual and empirical grasp of its evolution lags significantly behind. Progress in disciplines such as artificial intelligence, genomics, cognitive science, cyber governance, global ecology, and quantum mechanics depends critically on a more rigorous understanding of information dynamics. Absent such insight, humanity risks succumbing to entropic forces that threaten systemic stability and long-term survival.

In this book, Klaus Jaffe addresses the limitations of prior treatments of infodynamics, many of which have been incomplete, imprecise, or conceptually flawed. It offers an interdisciplinary investigation into the relationship between information and energy, drawing on theoretical and empirical contributions from economics, biology, and physics. By challenging conventional paradigms, the book constructs a conceptual framework that bridges disparate scientific domains and societal processes. The resulting synthesis opens new avenues for empirical inquiry and policy-relevant research, with implications for both academic scholarship and public discourse.

Inviting readers to explore the evolving frontier of information science, the book highlights the role of information and its impact on both natural and social systems.

An Interdisciplinary Approach

Infodynamics, Economics, Energy, and Life

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