The Behaviourally Informed Organization

Using case studies and best practices as examples of success this book helps managers understand why and how they can embed behavioral insights into the structure and operations of any organization.

Every organization is fundamentally in the business of behavior change, whether it be a government trying to get a business to comply with environmental regulations, a business persuading its customers to be loyal to its products, or a financial institution encouraging a client to start saving for retirement. Behavior change is critical to organizational success, but despite its centrality to organizations, we do not have a good understanding of how organizations can successfully employ insights from behavioral science in their operations. To address this gap, this book develops an overarching framework for using behavioral science. It shows how behavioral insights (BI) can be embedded in organizations to achieve better outcomes, improve the efficiency of processes, and maximize stakeholder engagement. This edited volume provides an enterprise-wide strategic perspective on how governments, businesses, and other organizations have embedded BI into their operations. Contributions by academics and practitioners from the Behaviourally Informed Organizations partnership highlight pragmatic frameworks and prescriptive outcomes via illustrative case studies. Featuring a foreword by Cass R. Sunstein, this book investigates key findings from BI, with an eye toward how it can be used to solve problems and seize opportunities in diverse organizations.

Behavioral Science in the Wild helps managers understand how best to incorporate key research findings to solve their own behavior change challenges in the real world – from lab to field. Behavioral Science in the Wild helps managers to implement research findings on behavioral change in their own workplace operations and to apply them to business or policy problems. As the second book in the Behaviourally Informed Organizations series, Behavioral Science in the Wild takes a step back to address the "why" and "how" behind the origins of behavioral insights, and how best to translate and scale behavioral science from lab-based research findings. Governments, for-profit enterprises, and welfare organizations have increasingly started relying on findings from the behavioral sciences to develop more accessible and user-friendly products, processes, and experiences for their end-users. While there is a burgeoning science that helps us to understand why people act and make the decisions that they do, and how their actions can be influenced, we still lack a precise science and strategic insights into how some key theoretical findings can be successfully translated, scaled, and applied in the field. Nina Mažar and Dilip Soman are joined by leading figures from both the academic and applied behavioral sciences to develop a nuanced framework for how managers can best translate results from pilot studies into their own organizations and behavior change challenges using behavioral science.

Includes bibliographical references and index.

This report presents research on applying BI to changing the behaviour of organisations, with a focus on fostering elements of a safety culture in the energy sector. It presents comparative findings from experiments with energy regulators in Canada, Ireland, Mexico and Oman, as well as guidance for applying BI to safety culture going forward.

As applied behavioral science has become more widespread, a need has emerged for guidance on how to build and integrate behavioral science functions within an organization. This book draws on the collective wisdom of applied behavioral scientists with deep experience within their respective practice areas to provide practical guidance on building a behavioral science function that has a meaningful impact for your organization.

This report discusses the use and reach of behavioural insights, drawing on a comprehensive collection of over 100 applications across the world and policy sectors.

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.