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The Quantum AI Era of Neuromarketing

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

The Bloomsbury Handbook of Entrepreneurial Marketing

From Ann Handley, Wall Street Journal bestselling author of Everybody Writes, comes a smart, timely, clear-eyed guide to knowing when to speed up, when to slow down, and when the shortcut costs more than it saves. You already know how to go fast. What nobody taught you is when not to. In ASAP: As SLOW As Possible, Ann Handley rebels against the false urgency baked into modern work and life—and shows you how to recognize Slowments: the moments when slowing down is not weakness, hesitation, or delay. It's the smarter move. Because when everyone has access to the same shortcuts, the real edge is knowing when not to take them. With research, brain science, vivid storytelling, and Handley’s signature wit, ASAP: As SLOW As Possible reveals the hidden speed traps that weaken our judgment, creativity, and original thinking—especially in an age when AI makes the fastest path feel like the smartest one—and gives you a practical way to know when speed is serving you and when it’s taking you farther from what matters. You'll discover: <ul><li>The Hasty Progress Illusion—why motion can feel like mastery, even when nothing lasting is taking hold</li><li>The ASAP Matrix—how to know exactly when to autopilot, when to pause, and when a moment deserves more of you</li><li>The six Slowments in life and in work—the pivotal moments when slowing down changes what happens next</li><li>How to protect your judgment in a world eager to outsource it</li><li>When choosing analog leads to sharper ideas, wiser decisions, more creative approaches, stronger relationships, and meaningful work</li><li>How to stop confusing speed with progress—and start choosing the pace the moment actually requires</li></ul> ASAP: As SLOW As Possible reveals slowness as a generative force and for the first time gives you a way to harness life’s most important slow moments. Not by doing less, opting out, or becoming the kind of person who ferments things in a shed. But by knowing when speed helps—and when it hollows out the very thing you hoped it would serve. It’s time to choose the long road when the shortcut costs too much.

When to Take the Long Road in a Shortcut World

ASAP: As Slow as Possible

Business Statistics of the United States

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides several years of annual, quarterly, and monthly data in industrial and demographic detail, including key indicators such as: gross domestic product, personal income, spending, saving, employment, unemployment, the capital stock, and more. Business Statistics of the United States is the best place to find historical perspectives on the U.S. economy. Of equal importance to the data are the introductory highlights, extensive notes, and figures for each chapter that help users to understand the data, use them appropriately, and, if desired, seek additional information from the source agencies. Business Statistics of the United States provides a rich and deep picture of the American economy and contains approximately 3,500 time series. The data are predominantly from federal government sources, including: ·Board of Governors of the Federal Reserve System ·Bureau of Economic Analysis ·Bureau of Labor Statistics ·Census Bureau ·Employment and Training Administration ·Energy Information Administration ·Federal Housing Finance Agency ·Department of the Treasury

Patterns of Economic Change, 30th Edition

Business Statistics of the United States 2026

India Studies in Business and Economics

This book presents a comprehensive study that conducts a data-driven performance benchmarking exercise for regional school education systems in India, with a clear focus on highlighting disparities and challenges within these systems, as well as providing targeted policy recommendations for potential improvements. The book conducts an in-depth examination of the educational environment, current status, policies, and interventions across schools. It explores why, despite various national initiatives aimed at improving access to and quality of school education, significant gaps persist across Indian states, particularly in the two most populous states, Uttar Pradesh and Bihar, which face a range of economic challenges.The book evaluates rankings and efficiency variations in school education development and develops a novel nonparametric efficiency-effectiveness framework to analyze the performance of the school education system. In addition to employing a state-of-the-art meta-BoD-RDM framework for constructing a school education development index, the empirical analysis employs a two-stage network Data Envelopment Analysis (NDEA) model using survey-based data from schools in India to compute school-wise efficiency and effectiveness scores. These scores are then integrated with a machine learning-based Random Forest algorithm to identify the key factors behind the observed inter-school variations in school efficiency and school effectiveness. The book also discusses progress in school education development during the COVID-19 pandemic. It identifies several key areas that require policy intervention and urgent attention from educationists and governments. This data-enabled benchmarking and analytical study not only contributes to understanding the current landscape but also supports the formulation of future educational policies aimed at effectively addressing the evolving needs of the school education system in India.

Data-Driven Benchmarking of School Education Systems in India

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Reviving an Iconic Brand

A Levi's Story

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

From Modern Marketer to Executive Leader

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to:- Define a clear strategy for integrating agentic AI- Establish governance frameworks to manage risk and accountability- Drive workforce adoption and address resistance to AI collaboration- Assess economic value and impact of agentic AI systems- Manage reputational and operational risks from AI agent behaviorFeaturing real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

Develop culturally intelligent marketing strategies for a digitally connected global marketplace. International Marketing is designed for postgraduate marketing students studying International Marketing and International Marketing Strategy. This textbook equips students with the theoretical frameworks and applied tools required to design, implement and evaluate marketing strategies across borders in an increasingly digital and regulated environment. Sue Ollerhead explores how brands can enter, compete and grow internationally while remaining culturally sensitive, legally compliant and strategically coherent. This book integrates core international marketing theory with practical application, covering market entry strategies, dynamic pricing, cross-border brand positioning and digital platform management. Students examine how organizations adapt products and services to meet local market needs while maintaining universal quality standards, sustainability commitments and ethical responsibility. Legal and regulatory considerations are embedded throughout, alongside discussion of environmental impact, societal expectations and global governance frameworks. Real-world examples from Coca-Cola, Depop and MPesa illustrate how international marketing decisions influence long-term brand performance and customer relationships across diverse markets. This textbook includes: - Guidance on digital international marketing, including market entry, pricing and cross-border brand strategy - Chapter overviews, key learning outcomes, key concept boxes and exercise questions - Online resources including lecture slides and a lecturer's manual with exercise answers - Strategic insights and analysis on operating effectively within international environments

Utilize a Digital Approach in International Marketing Strategies

International Marketing

Deliver proven, data-led marketing performance and leadership insight across the modern marketing organization. In the fully updated second edition of Marketing Metrics by Christina Inge, marketing leaders gain the strategic tools needed to build enterprise-grade, data-powered marketing strategies that deliver measurable business results. Written for CMOs, marketing directors and senior analytics leaders, this authoritative guide shows how to translate marketing metrics, data and analytics into informed decision making, stronger governance and clear financial impact. Featuring new content on AI-powered marketing metrics and enterprise analytics capability, this book equips senior professionals with the frameworks and models required to embed measurement into marketing leadership and long-term strategy. You will learn how to: - Implement a data-first marketing strategy aligned with business outcomes - Measure channel, campaign and brand ROI with confidence - Apply AI-powered metrics including predictive customer lifetime value - Build enterprise analytics capability and AI-ready marketing teams &gt;Supported by real-world examples and practical strategic models, this book provides senior marketing leaders with the tools to strengthen accountability, guide investment decisions and deliver measurable marketing performance at scale. Themes include: marketing metrics, marketing ROI, data-driven marketing strategy, AI in marketing analytics, customer lifetime value, marketing leadership

Leverage Analytics, Data and AI to Optimize Marketing Strategies

Marketing Metrics

The Quantum AI Era of Neuromarketing

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