دانلود کتاب Delivering Better Policies Through Behavioural Insights: New Approaches

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Foreword Acknowledgements Abbreviations and acronyms Executive summary Applying BI to individual and organisational behaviour Key lessons: How can policymakers apply BI to complex problems Chapter 1. Overview and key lessons Behavioural insights and public policy: Where are we now Applying behavioural insights in policy settings How is BI being used to develop and implement policies? Applying behavioural insights to current policy issues: New insights Individual decision-making Smart meters and electricity consumption Digital consumer policy Organisational decision-making Cartel behaviour Safety behaviour Guidance and lessons for policymakers References Part I. Individual decision-making Part I. Individual decision-making Chapter 2. Real-time information and consumer decisions on energy consumption Introduction Context and problem setting Real-time feedback and time-use electricity pricing Smart meters allow real-time feedback on household electricity consumption Text message or email Internet site or mobile application In-home display Smart meters allow dynamic electricity pricing regimes Real-time pricing Critical period pricing Time-of-use pricing Literature review Methodology Theoretical model Experimental design Context In-home display Time-of-use electricity prices Results and discussion Temporal variation in household response Household response by outdoor temperature Persistence of household response Real-time feedback and time of use electricity prices Conclusion Notes References Chapter 3. Protecting digital consumers Introduction Context and problem setting Using behavioural insights to better understand the consumer experience: Online advertising and consumer biases Online advertising: An overview Benefits and risks for consumers Online advertising can take advantage of consumer biases and cause consumer detriment Endowment, anchoring and framing effects Use of social norms and persuasion profiling Default and status quo bias Using behavioural insights to further understand the impact of online advertising Improving interventions with behavioural insights: Online disclosures The importance of online information disclosure: An overview Consumers’ behavioural biases relevant to online disclosures Information overload Anchoring and framing effects The endowment effect and loss aversion Default biases Overconfidence and myopia Social norms and other factors Policy implications Information and pricing should be clear and accurate Material information should not only be in the terms and conditions Use of images, audio and video should be considered Timing of disclosures is important Consumer consent should be express Information should be as simple as possible Personalised disclosures require further consideration Technology-enabled information provision could facilitate comparison shopping and switching in complex markets The importance of testing Methodology Personalised pricing: An overview Examples of behavioural biases that are potentially relevant to personalised pricing Framing and loss aversion Fairness Overconfidence Research objectives and orientations Proposed experimental approach Conclusion Notes References Part II. Organisational decision-making Part II. Organisational decision-making Chapter 4. Cartel deterrence and the labour market for managers Introduction Context and problem-setting EU legislation Anti-cartel legislation in major European countries Germany France United Kingdom North American anti-cartel law United States Canada Cartel enforcement in practice EU cartel case German price-fixing cases French cartel case Canada and the United States Literature review Theoretical literature Empirical literature Experimental literature Policy literature Methodology Theoretical model Market description Competitive benchmark Collusion Corporate fines Individual fines Experimental design Results and discussion Introductory note and test hypotheses Cartel prevalence Pricing behaviour Voting behaviour Discussion Conclusion Notes References Chapter 5. Fostering a safety culture in the energy sector Introduction Context and problem setting What is safety culture? Applying behavioural insights to foster strong safety culture Key BI principles in safety culture literature Messenger Social influences Social benchmarking Social norms (speaking up) Reciprocity Safety culture context of countries in the analysis Canada Mexico Ireland Oman Understanding the system – Shared responsibility, awareness of safety culture, complacency Shared understanding of responsibility between regulators and regulated entities Awareness of safety Complacency Organisational structure, management and workers Methodology Understanding context and fine-tuning the design Experimental design: Questionnaire on safety culture and behavioural scenarios Administering the questionnaire Language Timeframe Design 1. Demographics 2. Safety culture/climate questions 3. Behavioural scenarios 4. Qualitative Results and discussion Results Sample size Safety culture questions National differences Role differences Behavioural insights vignettes Overall Regulator vs. regulated entity Behavioural principle Feedback effects Norm effects Messenger effects International lens and understanding the results Messenger Feedback Social norms Lens of an occupational role for understanding the results Messenger Feedback Social norms Lens of an organisational background for understanding the results Summary of behavioural results Messenger Feedback Social norms Limitations of the study Conclusions Policy lessons Potential next steps/areas for further work Complementary field work References Annex 5.A. Additional information and sample survey Additional details on sample and participants Survey on behavioural assets and needs Safety culture items Behavioural vignettes items Sample of behavioural vignettes Blank Page