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"Written to provide grounding in behavioral insights research, Behavioral Science in the Wild assists managers to implement research findings on behavioral change in their own workplace operations. In particular, this book shares prescriptive advice on how a manager who reads a specific research finding from a paper can incorporate that finding into their business or policy problem. Created as a follow-up to The Behaviorally Informed Organization co-edited by Dilip Soman, Behavioral Science in the Wild takes a step back to address the "why" and "how" behind BI's origins, 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 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 behaviour change challenges using behavioral science."--

AbstractAl-Ubaydliet al.point out that many research findings experience a reduction in magnitude of treatment effects when scaled, and they make a number of proposals to improve the scalability of pilot project findings. While we agree that scalability is important for policy relevance, we argue that non-scalability does not always render a research finding useless in practice. Three practices ensuring (1) that the intervention is appropriate for the context; (2) that heterogeneity in treatment effects are understood; and (3) that the temptation to try multiple interventions simultaneously is avoided can allow us to customize successful policy prescriptions to specific real-world settings.

Abstract
Queues are a ubiquitous phenomenon. This research investigates consumers' affective experiences in a queue and their decisions to leave the queue after having spent some time in it (reneging). In particular, we find in our first two studies that, as the number of people behind increases, the consumer is in a relatively more positive affective state and the likelihood of reneging is lower. While a number of explanations may account for this effect, we focus on the role of social comparisons. In particular, we expect consumers in a queue to make downward comparisons with the less fortunate others behind them. We propose that three types of factors influence the degree of social comparisons made and thus moderate the effect of the number behind: (a) queue factors that influence the ease with which social comparisons can be made, (b) individual factors that determine the personal tendency to make social comparisons, and (c) situational factors that influence the degree of social comparisons through the generation of counterfactuals. Across three studies, we find support for each moderating effect. We conclude with a discussion on theoretical implications and limitations, and we propose avenues for future research.

"The past decade has seen a number of developments that threaten the very fabric of how marketing activities have traditionally been conducted. On one hand, consumers are increasingly socially networked and value-conscious, with heightened expectations of how companies will react to their demands. Along with the challenges, however, come new opportunities: the growth of behavioural economics and the emergence of new data collection techniques, for instance, give marketers unprecedented access to previously hidden aspects of consumer behavior. Clearly, 'business as usual' is not an option for marketing managers who want their firms to stay in the game

"While much progress has been made in reducing poverty worldwide--especially in the pre-pandemic era--it is fair to say that an unacceptably large proportion of the world's people still live in poverty. Cash Transfers for Inclusive Societies sheds light on the widely prevalent cash transfer programs. The book asks these central questions: What is the state of the art in the development of welfare programs? What do we know works in these programs and what does not? How can an understanding of behavioral science better inform the design, delivery, and evaluation of welfare programs? The latest title in the Behaviorally Informed Organizations series, the book develops a nuanced framework for how governments, practitioners, and society in general should design cash transfer programs to improve inclusivity, reduce poverty, and improve equality. It draws on field experiments and case studies to showcase past successes, while also building frameworks and developing prescriptive advice that we can give to practitioners who are looking to design a behaviorally informed cash transfer program. With contributions from leading academics as well as seasoned practitioners, Cash Transfers for Inclusive Societies presents a new model to policymakers to study and shift the discourse on poverty alleviation from purely economic factors to also behavioral ones."