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The critical role of diet in climate change mitigation has raised behavioural approaches to the top of the agenda. In this paper, the authors take a critical look at these behavioural approaches and call for a more dynamic, practice-oriented understanding of long-term changes in sustainable food consumption and supply.

This approach is based on the experiences from a long-term experiment promoting sustainable eating in a workplace lunch restaurant using a series of informational and nudging techniques. In the experiment, the authors found that focussing solely on eating behaviours did not help to capture the multi-level change processes mobilised. The authors therefore propose a more dynamic, practice-oriented methodology for examining long-term changes in sustainable eating. The emprical data of the experiment are based on qualitative and quantitative data, consisting of customer survey, customer and kitchen personnel focus group discussions and monitoring data on the use of food items in the restaurant and their climate impacts.

The results draw attention to a series of practical challenges restaurants face when promoting sustainable eating. Directing analytical attention to tinkering helped to reveal the tensions brought about by labelling and nudging in menu planning and recipe development. The results show how tinkering required attentiveness to customers' wishes in both cases. Nudging offered more freedom for the restaurant to develop menus and recipes. In the case scrutinised, however, nudging customers towards tastier and more satiating vegetarian dishes included the use of dairy. This partly watered down the climate benefits gained from reduced meat consumption.

Rather than looking separately at changes in consumer behaviour and in the supply of food, the authors show how we need analytical concepts that enable the evaluation of their mutual evolution. Tinkering can assist us in this endeavour. Its adaptive, adjustive character, however, calls for caution. The development of praxis in food services and catering requires critical companions from the transdisciplinary research community. Research can provide systematic knowledge on the impacts of labels and nudges on kitchen praxis. However, research itself also needs to tinker and learn from experiments. This necessitates long-term speculative research strategies.

This paper aims at assessing the impact of a number of behavioral interventions on the willingness of informal businesses, in the Egyptian informal sector, to join the formal sector.

This paper uses an experimental methodology to examine the impact of behavioral interventions on the formalization of the Egyptian informal sector. Specifically, it conducts a survey experiment on a total of 240 informal businesses, operating in the Egyptian informal sector. The primary data collected from the survey experiment is then analyzed using a binary logistic regression to assess the impact of the behavioral primes on the probability of joining the formal market.

The empirical findings of the survey experiment indicate that the biggest obstacle facing informal businesses is finding a formal source of finance that could help them in penetrating the market. Providing informal businesses with information on funding opportunities offered by the ministry of micro, small and medium enterprises (MSME) significantly increased the probability of joining the formal sector to benefit from this opportunity.

This paper is the first to apply behavioral primes, in the form of informational cues, to the Egyptian case of informal business owners. Previous research on the use of behavioral nudges and primes has focused mainly on the western economies.

Tax evasion is an economic crime that nearly all world countries suffer from. Its consequences are countless, including poor public spending on infrastructure projects and social welfare programs, low economic growth and development, institutional mistrust and fiscal deficits. For developing countries in particular, targeting development programs and infrastructural investments requires an efficient tax collection policy to generate sufficient funds for such purposes. This makes the tax evasion problem a critical one and countering it extremely policy relevant. Based on evidence that shows how the understanding of taxpayers' behavior is an essential factor in fighting evasion, this paper aims to test different factors that might incentivize citizens using a behavioral and experimental approach, in non-Western educated industrialized rich democracies (non-WEIRD) countries, to comply more.

This paper uses a survey experiment to examine the impact of different behavioral primes on tax compliance behavior. Specifically, it observes subjects' compliance behavior in two contexts: voice and empathy. A total of 273 students from a big public university in Egypt were randomly selected to participate in this study.

In the “Voice” treatment, the explanatory variable (VOICE) was found statistically significant, thus confirming the hypothesis that democracy, through having a voice in the decision-making process, affects compliance positively. As for the “Empathy” treatment, the explanatory variable (EMPATHY) was also found significant. This confirms the second hypothesis that triggering feelings of empathy, through highlighting the good cause behind public spending that uses taxpayers' money, affects compliance behavior positively.

Despite the fact that the experimental methodology is a methodology with high internal validity, examining the impact of a specific intervention on behavior, a replication of the experiment in other contexts might be useful in increasing the external validity of the findings. Specifically, conducting this experiment on a nonstudent sample might lead to even more powerful results by increasing the ecological validity of the results.

This study advocates a more behaviorally informed public policy. Specifically, Egyptian policymakers are recommended to adopt behavioral nudges as a complement to existing policies. The authors believe the findings, if confirmed by repeated experiments (lab, lab-in-the-field and rational choice theories on both student and non-student samples) in a number of Arab countries, might also help in offering cost-effective nudges for the Arab world policymakers, where culture and the political context are to a great extent similar.

The findings of the study have a number of social implications. Higher tax compliance will enable higher levels of public spending on a number of social targets such as education, health and welfare programs.

While the study builds on recent research examining how to incentivize tax compliance, it simultaneously seeks to make three contributions. First, the study design aims to apply recent advances in behavioral sciences (impact of voice and empathy) in a policy area that has not seen much use of such interventions in the Egyptian context (i.e. tax compliance). Second, the study is policy relevant in the sense that it aims to increase the effectiveness of existing government policies by complementing them with behavioral primes. Third, there is nearly no literature found applying this topic in a non-WEIRD country such as Egypt.

This commentary argues that social marketing and the application of behavioural sciences to policy constitute two converging paths towards better policies. It highlights points of convergence and divergence between both disciplines and the potential benefits of further embedding social marketing principles and methods within the recent trend of applying behavioural sciences to policy.

The commentary relies on a review of the behavioural sciences and social marketing literatures and on an analysis of institutional reports reviewing cases of behaviourally informed policies.

Behavioural sciences are increasingly informing policies to promote societal well-being. Social marketing has seldom been explicitly considered as being part of this phenomenon, although it is de facto. Both disciplines share similar end-goals, inform similar policy applications and are rooted in behavioural analysis. They diverge in their theoretical frameworks, their relative emphasis on behaviour change and the span of interventions they generate. Several benefits of embedding social marketing principles and methods within the current way of applying behavioural sciences to policy are identified.

Scholars applying behavioural sciences to policy are encouraged, when appropriate, to use the insights and methods from social marketing. Social marketing can engage in a dialogue with behavioural sciences to explore how to pilot the convergence of both approaches in practice.

The novelty of this contribution lies in providing the first comparison of the application of behavioural sciences to policy with social marketing, and in using the policy-making cycle framework to map the contributions and complementarities of both disciplines.

Innovation ecosystems (IEs) have attracted the attention of policymakers and researchers because of their potential to positively affect territories, creating shared value. However, due to the fragmentation of IEs, how this happens in different IEs has been explored only partially. This research aims to bridge this gap, aiming to support policymakers in understanding how to foster shared value in diverse IEs.

The paper identifies, based on the literature, two “drivers of aggregation” of IE's actors as key dimensions characterizing shared value in IEs, namely physical proximity and dominant issue. If these are combined, three archetypes emerge: Hub- and Chain-Driven, Place-Driven, Competence- and Issue-Driven IEs.Then, elements useful for understanding shared value creation in these archetypes are framed and studied in real cases.

Results reveal that aggregation drivers affect shared value creation, which differ among archetypes: in Competence- and Issue-Driven IEs alignment is challenged by the low physical proximity, which in Place-Driven IEs is high, but not enough to grant shared value; in Hub- and Chain-Driven IEs, the hub is the orchestrator, representing both a driver and a risk.

Differences in shared value creation processes relate to the set-up of the IE, which has relevant implications for policy definition. In Competence- and Issue-Driven IEs, policies at diverse levels align in funding and promoting the IE; in Place-Driven IEs, policies support anchors' development on-site; in Hub- and Chain-Driven IEs, policies, sometimes absent, should foster partnerships for projects for the territory, IE's enlargement and resilience.

This study aims to explain why online reviews in Airbnb are skewed toward positive ratings. The authors examine customer perceptions of the service quality of an Airbnb stay as a relevant antecedent of whether customers leave an online review of that Airbnb stay. To this end, the authors test the hypothesis that the relationship between service quality and leaving an online review is linear and positive.

To test the hypothesis, the authors rely on primary survey data from 177 Airbnb customers combined with secondary data coming from their personal online Airbnb accounts. The authors conducted a binary logistic regression analysis to test the hypothesis.

The results show that customers’ service quality perceptions are positively and linearly related to leaving an online review of an Airbnb stay. In other words, satisfied customers are more likely to leave a review after an Airbnb stay than those who are dissatisfied.

The study is original in two respects. First, it reconsiders the role of customer experiences in explaining online customer reviews. In doing so, it empirically shows that the conventional wisdom of a U-shaped relationship between customer experiences and online reviewing does not hold in the context of the sharing economy. Second, by relying on primary survey data, the authors reveal the risk of dissatisfied customers creating an underreporting bias in online reviews, which ultimately make online reviews of Airbnb skewed toward positive ratings.

Phishing attacks are the most common cyber threats targeted at users. Digital nudging in the form of framing and priming may reduce user susceptibility to phishing. This research focuses on two types of digital nudging, framing and priming, and examines the impact of framing and priming on users' behavior (i.e. action) in a cybersecurity setting. It draws on prospect theory, instance-based learning theory and dual-process theory to generate the research hypotheses.

A 3 × 2 experimental study was carried out to test the hypotheses. The experiment consisted of three levels for framing (i.e. no framing, negative framing and positive framing) and two levels for priming (i.e. with and without priming).

The findings suggest that priming users to information security risks reduces their risk-taking behavior, whereas positive and negative framing of information security messages regarding potential consequences of the available choices do not change users' behavior. The results also indicate that risk-averse cybersecurity behavior is associated with greater confidence with the action, greater perceived severity of cybersecurity risks, lower perceived susceptibility to cybersecurity risks resulting from the action and lower trust in the download link.

This research shows that digital nudging in the form of priming is an effective way to reduce users' exposure to cybersecurity risks.

The purpose is to explore consumer acceptance of the doggy bag as an intervention to promote sustainable food consumption. In particular, it explores consumer attitudes towards taking home the leftover food from eating out at restaurants as a way of sustainable consumption.

A consumer survey to explore consumer attitudes, followed by an investigation of the media communications that promote the doggy bag as a tool to reduce food wastage.

Strategic communication was employed in an inclusive approach to increase the impact of the doggy bag on consumer behaviour. Consumers show a positive inclination towards using the doggy bag to take home the leftovers of their restaurant meals and reduce food wastage. Cultural biases can cause hurdles in the acceptance of the tool.

To the best of the author's knowledge, this is the first study to approach the behavioural analysis of leftover food takeout interventions studied from the consumer perspective. Furthermore, it is based on a novel approach of experimental methods at ready-to-eat food outlets for communicating with consumers.

The purpose of this study is to identify arrangements of fully funded defined contribution (FF-DC) pension plans associated with the continuity of retirement savings.

The authors adopted an experimental design composed of a control group and two treatment groups. In all groups, individuals made decisions throughout nine periods: five during the working period and four at the postretirement stage. The authors asked participants if they wanted to join a pension plan, and which plan. The authors offered three plans with different risk profiles: plan 1 (high risk), plan 2 (moderate) and plan 3 (low risk) and one risk-free plan, plan 4. In treatment groups 1 and 2, there was an automatic enrollment of the participants in the default plan (moderate risk), and in the following periods they had to decide whether to continue contributing, and in this case, to which plan, with a defined percentage.

In treatment scenarios, participants chose the riskiest plan in all periods of the experiment, and most of them chose the risk-free plan in period 5. These findings suggest that pension plans with automatic enrollment, employer matching and low risk foster the continuation of retirement savings.

The research has as limitation the fact that the sample is not representative of the population and therefore does not allow generalizations. This is because the authors use social media ads to prospect respondents.

The research's findings can be relevant for the design of public policies for private pension plans, suggesting that compulsory automatic enrollment can be used as default in plans offered by the employers. The results encourage the inclusion of behavioral elements in the design of the pension system, paying attention to the nudges. In this sense, it is possible to increase participation in the pension plan and develop low cost programs to increase the amount accumulated by people before retirement.

Decision-making architecture, such as automatic enrollment, can improve individuals' retirement decisions, affecting savings and welfare in the long run.

Although the effect of pension plan designs is widely studied in other countries, such as the United States and United Kingdom, the authors are unaware of a national empirical research that seeks to understand how different arrangements affect an individual choice through an experiment.

This conceptual study examines the implications of the Internet of Behaviors (IoB) for tourism stakeholders in a hyper-connected and data-driven world.

Based on nudge theory, a literature review and empirical evidence from multidisciplinary research, this study explores the implications of the IoB for smart tourism.

This study reviews the literature, presents a conceptual framework and proposes a research agenda with areas for future research.

The research on the IoB is nascent. Therefore, it is critical to understand how data-driven nudging influences tourist behavior.