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Applying behavioral economics insights at the workplace

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Abstract

Behavioral economics insights are widely applied by policymakers worldwide, but the private sector seems to be still not fully embracing them. This opens up a new research field and there is a salient call among researchers and practitioners for accumulation of evidence-based nudge interventions at the workplace. This paper reviews studies that apply behavioral economics insights in an organizational setting. The reviewed workplace interventions are based on reminders, default nudges, implementation intentions and priming. There are important take-home messages for human resource practitioners from this relatively novel research stream which has already helped policymakers improve individual and societal welfare worldwide.
1 INTRODUCTION
It has been a decade since the nudge concept was popularized by aler and Sunstein (2008) in their eponymous
book. e book really seems to have become the bible of behavioral economics (Kahneman, 2011). Not only did it
become a bestseller, but it also made its way to public policy circles leading to the establishment of the world’s first
government institution dedicated to the application of behavioral sciences - e Behavioural Insights Team. e
Government of the United Kingdom established this institution to make public services more cost-effective and
easier for citizens to use, improve outcomes by introducing a more realistic model of human behavior to policy and
enable people to make better choices for themselves (e Behavioural Insights Team, n.d.). Other nations followed
the UK example by introducing their own nudge units: USA, Singapore, Germany, Australia among them (Purnhagen
& Reisch, 2016; Samson, 2018). According to recent data the number of institutions worldwide that are using
behavioral economics insights in public policy has reached 196 (OECD, n.d.). ere are reports on interventions
based on behavioral economics insights in various domains of public policy: public health, household finance,
education, energy consumption, voting, traffic (Felin, 2014; Samson, 2018).
Although the concept of nudging is relatively new, the discipline of behavioral economics dates back from much
earlier. e 2017 Laureate in Economic Sciences, Richard aler, who popularized the concept of nudging, is
considered as one of the founders of the discipline and is credited for its reception into mainstream economics
(Angner & Loewenstein, 2007). Whether this field will end up fully integrated into economics or it will become a
separate discipline is still uncertain, but economists who apply insights from psychology into their work offer better
advice to policymakers due to their predicting and explaining capacities (Earl, 1990; Metcalfe, 2018).
Judgment and decision-making theories are generally categorized into two groups: normative concerned with
how humans should think and decide and descriptive aimed at explaining how humans really think and decide
based on empirical evidence. Early decision-making models were models of a perfectly rational human being. ey
Journal of HUMAN RESOURCE MANAGEMENT, vol. XXI, 2/2018
Journal of HUMAN RESOURCE MANAGEMENT
www.jhrm.eu ISSN 2453-7683
Applying behavioral economics insights at the workplace
Viktorija Ilieva, Ljubomir Drakulevski
A BS T R AC T
Behavioral economics insights are widely applied by policymakers worldwide, but the private sector
seems to be still not fully embracing them. is opens up a new research field and there is a salient
call among researchers and practitioners for accumulation of evidence-based nudge interventions at
the workplace. is paper reviews studies that apply behavioral economics insights in an
organizational setting. e reviewed workplace interventions are based on reminders, default nudges,
implementation intentions and priming. ere are important take-home messages for human resource
practitioners from this relatively novel research stream which has already helped polic ymakers
improve individual and societal welfare worldwide.
workplace, behavioral economics, nudging,
interventions
KE Y W O R DS
JEL Code: D90, M12
Ma nusc r ipt re ceiv e d 4 Octo b er 201 8,
Acce p ted 4 No v emb e r 2018
CONTACT INFORMATION:
Viktorija Ilieva / Ss. Cyril and Methodius University in Skopje / Republic of Macedonia / viktorija.ilieva@eccf.ukim.edu.mk
Ljubomir Drakulevski / Ss. Cyril and Methodius University in Skopje / Republic of Macedonia / ljubomir.drakulevski@eccf.ukim.edu.mk
were based on the idea that decision makers are fully informed about all available options regarding their decision
task as well as the possible outcomes from these options, highly sensitive to the slight differences among the options
and totally rational in terms of choosing the option with the highest utility. Economics textbooks teach us that homo
economicus can think like Albert Einstein, store memory as IBM’s Big Blue, and exercise the willpower of Mahatma
Gandhi (aler & Sunstein, 2008).
But no matter how sophisticated the normative models may seem, human decision making is far more complex
than calculating utility and probability. Behavioral economics is particularly concerned with the limits of rationality
(Ho et al., 2006). In the 1950s psychologists questioned the concept of unbounded rationality and in 1955 Herbert
Simon introduced the concept of bounded rationality. is concept did not conform to the assumption that the
theory of subjective expected utility provides a relevant explanation about human rationality (Albar & Jetter, 2009;
Polic, 2009). e concept of bounded rationality implies that individuals tend to make rational decisions, but they
are faced with certain limits when collecting and processing information, in terms of time, costs, memory, intelligence
and perception (Bazerman, 2006). In order to illustrate how human rational behavior is shaped, Herbert Simon uses
the scissors metaphor where one blade represents the cognitive restrictions of humans, and the other blade
represents the structure of the environment (Basel & Brühl, 2011; Gigerenzer, 2008). Just as it cannot be understood
how scissors cut by focusing on one blade only, human behavior cannot be understood neither by studying the
cognitive skills nor by studying the environment in isolation. When deciding, individuals do not consider all the
options and they do not calculate which one of them yields the highest gain or the lowest loss. ey consider the
options one by one and choose the first one that satisfices, or that meets the lowest level of acceptance. Herbert
Simon’s conception of making decisions which are good enough by using the strategy of satisficing has paved the way
for a decision-making theory with higher explanatory power than the subjective utility theory and more real
assumptions about the psychological capacities of decision makers (Eisenhardt & Zbaracki, 1992; Gigerenzer &
Goldstein, 1996).
e broad intellectual tradition which supports the viewpoint of humans as bounded rational creatures, greatly
influenced by their social environment, and the way in which choices are presented provided a fundament for the
idea of nudges (van Oorschot et al., 2013). Nudges are liberty-preserving approaches that steer people in particular
directions, but also leave them the freedom to go their own way (Sunstein, 2014).
Closely related to nudges is the idea of choice architecture as an interface of available options. e design and
construction of the menu, ordering and structure of options available can involve various considerations like: which
options are made salient and how, which options are made available in the first place, the nature of default options,
the order of the options, how the options are framed or made salient, what information is available about each option
and which options are incentivized (Felin, 2014).
For good or for bad, choice architecture can increase the probability that a favored option is selected by
influencing the decision maker’s environment without changing incentives (de Haan & Linde, 2018). Despite debates
about the ethics of nudging are becoming the main subject of many recent papers (Loewenstein et al., 2015; Sunstein,
2015), large-scale individual and collective benefits that can be achieved by implementing small nudges are not to
be overlooked in the organizational context (Felin, 2014).
In comparison to the ever growing literature reporting on public policy applications of nudges all over the world
(Hallsworth et al., 2016; Halpern, 2015; Halpern & Sanders, 2016; OECD, 2017; Whitehead et al., 2014), the literature
on nudging and choice architecture at the workplace lags behind. Indeed, applications of behavioral economics
insights are not uncommon in organizations. Google’s People Analytics Team, for instance, applies behavioral
insights to support workplace decision-making and wellbeing (Hollingworth & Barker, 2017). However, those reports
are single organization case studies and there is a literature gap for a review focused on applications of different
behavioral change interventions at the workplace, related to a particular target behavior or across various contexts.
e aim of this paper is to contribute to this literature gap by reviewing interventions commonly applicable at
the workplace based on insights form behavioral economics and regarding various target behaviors. e reviewed
behavioral change interventions are based on reminders, default nudges, implementation intentions and priming.
It is worth mentioning that defaults and reminders can be found in literature as choice architecture techniques
(Münscher et al., 2015), defaults and priming can be found as nudge mechanisms (Blumenthal-Barby & Burroughs,
2012) or nudge interventions (Friis et al., 2017), prompts to form implementation intentions as behavioral nudges
(Milkman et al., 2011), reminders and implementation intentions as behavioral design principles (Datta &
Mullainathan, 2012). Furthermore, different categorizations of choice architecture techniques are to be found in
literature (Szaszi et al., 2018) which is a barrier for a literature review and not to mention scientific reproducibility.
e target behaviors vary across the reviewed interventions and are related to: sedentary behavior at work, energy
efficiency, saving for retirement, paper usage, productivity, vaccination behavior, job performance, ethical behavior.
What connects all of these reviewed examples of interventions at the workplace is that the employees are the target
population. is is relatively rarely the case in the literature from the field which is mostly about interventions applied
in laboratory, among citizens, customers, students or hotel guests (Münscher et al., 2015; Szaszi et al., 2018).
41 Viktorija Ilieva, Ljubomir Drakulevski/Journal of HRM, vol. XX, no. 1/2017, 40-48
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2 BEHAVIORAL CHANGE INTERVENTIONS AT THE WORKPLACE
2.1 REMINDERS
e everyday information overload and new stimuli mean that information which is more salient has a higher
probability of being considered when individuals decide or act. To address the limited attention and cognitive
capacities of humans, choice architects might use an intervention based on reminders. Reminders are deliberation
nudges that modify the salience and ease of access of options encouraging active, reflective decisions (Haugh, 2017;
Münscher et al., 2015; Szaszi et al., 2018).
In the domain of corporate compliance, many companies use interventions based on providing reminders to
their employees (Haugh, 2017). Employees usually have the task to fill out forms where they report travel costs.
Before performing this task they are reminded of morality with certifications positioned at the top of the form,
instead the usual position at the bottom of the form. is intervention prompts one to consider their ethical
obligations, resulting in truthful answers. A certification placed at the bottom of a form is also a reminder, but not
a timely one. Furthermore, it has become a common practice for companies to include ethics focused certifications
prior to any kind of employee engagement that might pose a compliance risk.
Cadena et al. (2011) examine the effect of reminders on employee’s procrastination in a bank in Columbia. Loan
officers in the bank showed inclination to procrastinate the sourcing of new clients and the collection of credits until
the end of the month when the monthly bonuses were calculated. Cadena et al. (2011) introduced a program aimed
at nudging loan officers to get more work done at the beginning of the month. For executing a particular set of goals
early in the month, employees were offered small prizes to remind them of their progress towards accomplishing the
goals. In the second part of the program employees were additionally reminded by branch managers about the goals
and their progress. is particular behavioral intervention including the branch managers reinforcing the reminders
helped employees fight the procrastination. Redistributing the workload led to higher monthly compensation,
increased job satisfaction, less stress at work and improved overall performance at individual level.
2.2 DEFAULTS
As a behavioral change technique, defaults go further than reminders by more directly addressing the dual-
system thinking (Haugh, 2017). Defaults are pre-set courses of action that take the effect if nothing is specified by
the decision maker. It is crucial that they still leave the decision maker freedom to select a different option. Münscher
et al. (2015) enlist the following processes as causes for the default effect: decision inertia, loss aversion and implied
endorsement. e implementation of this choice architecture technique categorized as decision structure has shown
to be very effective in targeting societal welfare or consumers’ lifestyles. From what follows interventions based on
this technique seem also very promising in various contexts at the workplace.
Although it would be expected that most USA employees take the required effort to enroll in a defined
contribution plan, such as a 401(k), the percentage of enrolled workers is far from 100 %, and it usually takes a long
period for workers to enroll (aler & Sunstein, 2008). As already widely acknowledged in literature, this has a lot
to do with the design of the typical contribution plan where the default option that the employee is presented with
is non-enrollment she has to opt in to become enrolled. Bearing in mind that most individuals procrastinate and
become inert, an intervention in the savings program consisted of switching the default from opt-in to opt-out. So,
instead requiring an effort from the employee for enrollment, the employee was enrolled into a 401(k) plan by default
in case she did not take an action to opt out. Madrian and Shea (2001) examined the effect of such a default
intervention on the retirement savings in a firm and it showed positive results in terms of the number of employees
enrolled in the automatic enrollment condition.
Although employees join sooner and more of them join at the end (aler & Sunstein, 2008), the disadvantage
of applying this intervention alone is in terms of the saving rates because workers did not change the modest rate
provided by default. aler and Benartzi (2004) approached this disadvantage by proposing the Save More Tomorrow
(SMT) - a program of automatic escalation of contributions, which prescribed that the employees commit themselves
to increase their contribution rates synchronously with their pay rise. e SMT plan successfully addressed the self-
control restrictions, loss aversion, the money illusion and the status quo bias. is choice-architecture system was
first tested in 1998 at a midsize manufacturing company (aler & Benartzi, 2004) and following its benefits for
employees’ saving rates employers have widely adopted its basic concept in practice. Defaults have also been applied
in the UK where employees are automatically enrolled into retirement plans, while they still have the opportunity
to opt out. is default resulted in increased pension savings and more people having pension (Service et al., 2014).
e study of Venema et al. (2018) was conducted at a large governmental organization that had invested in sit–
stand desks (SSDs) three years beforehand. It was detected that employees very rarely used the desks for working in
a stand-up position. e goal of Venema et al.s (2018) study was to examine if changing the default setting of the SSDs
from sitting height into standing height would effectively nudge employees in terms of general time spent working
standing up and whether the nudge would still be effective after the nudge intervention period. is study found that
the default nudge intervention raised the stand-up working rates at least until two months after the nudge
intervention.
A randomized controlled experiment run by Brown et al. (2012) showed that defaults are an effective behavior-
change mechanism also in the context of encouraging energy-efficiency at the workplace. A small reduction in the
default setting on office thermostats in an OECD office building during the winter season caused a significant effect
on changing the employees’ chosen thermostat setting it reduced the average chosen setting, which in turn led to
decrease in energy use. However, in case of large decreases of the default setting, the OECD employees did not stay
inert and they responded by returning the setting to the one that they preferred.
Many people use far more paper than needed just because their printers have simplex as default. Switching the
default option on printers from simplex to duplex was tested in a natural field experiment at a large Swedish
university (Egebark & Ekström, 2013). e university staff was initially informed about the default switch (but not
about the study) via email sent by the heads of departments. is gentle nudge intervention saved paper and the effect
stayed stable over time. On the other side, applying a more conventional method of pure suggestion by encouraging
employees from a random subset of departments to save resources in order to contribute to the university’s pro-
environmental initiative had no impact at all on paper consumption.
Another example of a default nudge applied at the workplace is highlighted in the study of Chapman et al. (2010).
Many people fail to receive an annual flu shot although it is freely available at their workplaces. In the study of
Chapman et al. (2010), employees at Rutgers University were randomly assigned to two groups. e first group
received an email from the university’s occupational health department which informed them about the pre-set date
and time of their flu shot appointment, leaving them the freedom to change or cancel it. e participants in the
second group were also informed about the freely available flu shots, but instead of a default appointment they were
sent a link to schedule the date and time by themselves. What this study found was in line with the previously
discussed studies related to the default effect. e implementation of an opt-out condition increased the number of
employees who received a seasonal flu vaccination.
In their point of view article, Ebert and Freibichler (2017) propose a slightly different type of default nudge
which targets the productivity of knowledge workers. Knowledge workers usually complain about a workplace
environment that does not allow them to stay continuously focused on a task without being interrupted. As
consultants of many companies, Ebert and Freibichler (2017) propose an intervention which is already implemented
by organizations leading to increased productivity. e intervention consists of making a certain day of the week a
“no-meeting” day, which could be reinforced by an appropriate default rule in the software the organization uses for
scheduling meetings. Furthermore, knowing that knowledge workers spend a lot of time in (virtual) meetings and
the efficiency of these meetings is low, the authors propose another default nudge to adjust the business software
which is used for organization of meetings by setting the default duration of a meeting to a shorter period of time
than the standard 60 minutes.
2.3 IMPLEMENTATION INTENTIONS PROMPTS
Often there can exist a gap between the individual’s intentions and actual behavior so the question that might
arise is how can individuals be aided on their way to fulfil their goals (Service et al., 2014). Implementation intentions
are strategies for goal achievement that define the conditions that will activate certain behaviors. ey are mental
links between a specific future situation and the goal-directed behavior which are created unconsciously. e
individuals switch to being controlled by a preselected contextual clue of which they are quite unaware (Shantz &
Latham, 2011). Pirolli et al. (2017) and differentiate between goal intentions and implementation intentions. e
former are viewed as mental representations of desired behavior and end states, whereas the latter are mental
representations of simple plans to translate goal intentions into behavior under specific conditions. e prompt to
form an implementation intention comes with a minimal expense and as in the case of a default option, does not
restrict the individual’s freedom of autonomy (Milkman et al., 2011).
Milkman et al. (2011) designed a field experiment to measure the effects of prompts to form implementation
intentions on actual influenza vaccination. e study was conducted among employees in a large Midwestern utility
company and the vaccination was freely available as in the previously discussed study of Chapman et al. (2010). All
of the employees were sent an email reminder with the times and locations of the relevant clinics. e treatment
group was also sent an additional prompt to write down the date/date and time the employee planned to get
vaccinated. is additional prompt proved to make a difference when comparing the actual vaccination rates between
the treatment and the control group. is rate was lower in the latter group where employees were only reminded
via email of the freely available flu shots and informed about the location and time details, but were not prompted
to form an implementation intention. Another finding from this experiment is that the prompts show the highest
effect in the subset that was offered only one available day to plan a vaccination appointment.
43 Viktorija Ilieva, Ljubomir Drakulevski/Journal of HRM, vol. XX, no. 1/2017, 40-48
Srivastava (2012) successfully applied a planning prompt in an energy company which was promoting annual
physicals for its employees. e mail that the employees received emphasized that a great number of their colleagues
were showing interest about the physical examination and also prompted the individual to write down the date, time
and name of a doctor for the examination.
2.4 PRIMING
Similarly to implementation intentions, a primed goal activates a behavior unconsciously. To consciously set a
goal requires cognitive efforts and humans are inclined to conserve this limited resource. Priming effects are of
particular relevance for getting the whole picture when thinking about human behavior at work, bearing in mind that
most of the human resource (HR) practitioners relate employees’ motivation to cognitive processes alone.
Shantz and Latham (2011) examined how primed goals affect employee’s performance, focusing on the
implications for human resources management. e target population of their study were call center employees
whose performance was measured in terms of the amount of money raised from donors. e experimental group
was presented with usual instructions on ways to obtain donations printed over a photo of woman winning a race.
e study found that the experimental group consisting of primed employees raised significantly more money
compared to the control group whose directions did not include a photo of personal achievement. is proved the
hypothesis that environment primed a nonconscious goal that had a positive impact on job performance lasting
over an entire work shift.
3 CONSIDERATIONS FOR HUMAN RESOURCE MANAGEMENT
Understanding human behavior at work lies at the heart of HR (Gifford, 2014) and HR practitioners mostly look
at it through the lens of economic rationality. Including subconscious processes as a research stream in the context
of managing organization’s human resources is certainly a challenging expansion of conventional thinking regarding
human resources management (Shantz & Latham, 2011).
Thaler and Sunstein (2008) argue in favor of nudging at the workplace by pointing at various instances
when individuals fail to act in accordance with their clearly defined goals. The authors interpret the failure in
behavioral change as a confirmation that individuals would certainly be open for nudges that would help them
achieve their goals.
To change employee behavior, companies need to start identifying the required behavior change and define the
target behavior. en, it should be determined if choice architecture is the appropriate or the most pragmatic
behavior change approach. e analysis of the behavioral bottleneck shows why the actual behavior of people diverts
from the targeted behavior and it enables choosing the right intervention technique. As Münscher et al. (2015)
underline, being aware of the relevant biases that hinder the display of the target behavior is essential in the process
of matching the insights from the bottleneck analysis to specific choice architecture intervention techniques.
ere is an evident gap for practical guidelines on the implementation of behavioral nudges in organizational
setting (Michaels & Powell, 2017). Although there is evidence of the impact of nudges within organizations, empirical
papers that study the long-term effects of nudges are scarce (Venema et al., 2018) and this is an important drawback
for HR practitioners who are concerned with the issue of time length (Latham & Piccolo, 2012). Moreover,
implementing nudges at the workplace requires specialist guidance by behavioral economists at best. Nevertheless,
there are plenty of sources that might be helpful on the way such as websites, guides and books mostly freely available
online (Michaels & Powell, 2017). Companies can also benefit from using the tools of behavioral science already
applied and promoted by policymakers.
4 CONCLUSION
This paper contributes to the literature gap on using interventions based on behavioral economics insights
at the workplace in various contexts. Regarding the studies reviewed in this paper, the approach for their selection
was domain general meaning that they treat various target behaviors at the workplace and intervention general
meaning that they are related to different techniques based on behavioral economics.
Behavioral change interventions that are reviewed in this paper are applicable in organizational setting in
different contexts. ose contexts include: corporate compliance, employees procrastination, saving for retirement,
sedentary behavior, lower energy use, saving resources, attending vaccination appointments and health assessments,
job productivity and performance. Workplace interventions based on behavioral economics insights are simple and
cost-effective way to help employees translate their personal intentions into actions. A default nudge that changes
44 Viktorija Ilieva, Ljubomir Drakulevski/Journal of HRM, vol. XX, no. 1/2017, 40-48
the standard setting of a SSD from sitting into standing position has been shown to decrease the time spent sitting
at work. Considering that most adults spend approximately 60% of their waking hours at work, the employer can play
an important role into shaping employees health behavior (Morgan et al., 2011). Furthermore, nudging employees
to healthy lifestyle is also of advantage for employers as improving employees health leads to a healthier bottom line
(Srivastava, 2012). Beyond improving the bottom line, companies can also make a pro-environmental contribution
by taking the advantage of environmental nudges (aler & Sunstein, 2008).
To nudge or not to nudge will be the question that will increasingly attract the attention of businesses and
mark a shift from a conventional thinking about human behavior at work. It is clear that employees as decision
makers do not make choices in vacuum (Thaler et al., 2010). A modern HR organization can benefit from advances
in behavioral economics in many ways. At first it is necessary to remain aware that there is there is no such thing
as neutral design (Thaler & Sunstein, 2008). Even an organization avoiding to influence people’s choices may have
devised unintentional nudges that have major effects on its people’s behavior.
45 Viktorija Ilieva, Ljubomir Drakulevski/Journal of HRM, vol. XX, no. 1/2017, 40-48
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... Considering both its demonstrated potential and its cost-effective nature, nudge theory has been embraced by a growing number of public and private organizations as a behavioral change approach. Moreover, since nudges do not interfere with people's choice sets, they are sometimes preferred to, for example, mandates or bans (Ilieva & Drakulevski, 2018). Since 2008, increasing literature has appeared reporting on public policy applications of nudges across various domains (Hallsworth et al., 2016;Halpern, 2015;Halpern & Sanders, 2016;Whitehead et al., 2012). ...
... Since 2008, increasing literature has appeared reporting on public policy applications of nudges across various domains (Hallsworth et al., 2016;Halpern, 2015;Halpern & Sanders, 2016;Whitehead et al., 2012). The interventions implemented by governments and public organizations have addressed, for example, public health, household finance, education, energy consumption, voting, and traffic (Ilieva & Drakulevski, 2018). ...
... Specifically, the review aims to shed light on the behavioral domains that have been investigated so far and on the type of nudge used. Therefore, by giving a panoramic view of nudge interventions focusing on workers' behavior, this study differs from previous reviews on workplace environments, among which nonsystematic reviews (Ilieva & Drakulevski, 2018) or reviews limiting the search to specific domains, such as health and physical activity (Forberger et al., 2022), energy efficiency (Staddon et al., 2016), and healthy eating (Al-Khudairy et al., 2019;Allan et al., 2017). ...
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... Some of these cues are types of behavioural nudges, popularised as a concept by Thaler and Sunstein (2008) and defined as targeted positive reinforcement to influence the behaviour of individuals and organisations (Thaler & Sunstein, 2008). Nudging has received increased attention in the private sector (Beshears & Kosowsky, 2020) as a cost-effective behavioural intervention for employees, teams and organisations (Beshears & Kosowsky, 2020;Ilieva & Drakulevski, 2018;Szaszi et al., 2018;Thaler & Sunstein, 2008). With the growing relevance of behavioural nudging inside and outside the workplace, a small but growing number of studies have focused on integrating behavioural nudging and positive psychology interventions (e.g., Parkinson et al., 2014;Weintraub et al., 2021). ...
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... From a behavioural science viewpoint, framing can be seen as a form of nudging that relies on modifications in the choice environment to 'alter people's behaviour in a predictable way, without forbidding any options or significantly changing their economic incentives' (Thaler & Sunstein, 2021, p. 8). Because of their frequent success in public policy domains (Kaiser et al., 2020;Reisch et al., 2021), nudges are gaining increasing attention as potential levers to shift the behaviour of employees (Beshears & Gino, 2015;Ebert & Freibichler, 2017;Foster, 2017;Ilieva & Drakulevski, 2018). ...
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In this paper, we provide a domain-general scoping review of the nudge movement by reviewing 422 choice architecture interventions in 156 empirical studies. We report the distribution of the studies across countries, years, domains, subdomains of applicability, intervention types, and the moderators associated with each intervention category to review the current state of the nudge movement. Furthermore, we highlight certain characteristics of the studies and experimental and reporting practices that can hinder the accumulation of evidence in the field. Specifically, we found that 74% of the studies were mainly motivated to assess the effectiveness of the interventions in one specific setting, while only 24% of the studies focused on the exploration of moderators or underlying processes. We also observed that only 7% of the studies applied power analysis, 2% used guidelines aiming to improve the quality of reporting, no study in our database was preregistered, and the used intervention nomenclatures were non-exhaustive and often have overlapping categories. Building on our current observations and proposed solutions from other fields, we provide directly applicable recommendations for future research to support the evidence accumulation on why and when nudges work. Copyright
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Background Implementation intentions are mental representations of simple plans to translate goal intentions into behavior under specific conditions. Studies show implementation intentions can produce moderate to large improvements in behavioral goal achievement. Human associative memory mechanisms have been implicated in the processes by which implementation intentions produce effects. On the basis of the adaptive control of thought-rational (ACT-R) theory of cognition, we hypothesized that the strength of implementation intention effect could be manipulated in predictable ways using reminders delivered by a mobile health (mHealth) app. Objective The aim of this experiment was to manipulate the effects of implementation intentions on daily behavioral goal success in ways predicted by the ACT-R theory concerning mHealth reminder scheduling. Methods An incomplete factorial design was used in this mHealth study. All participants were asked to choose a healthy behavior goal associated with eat slowly, walking, or eating more vegetables and were asked to set implementation intentions. N=64 adult participants were in the study for 28 days. Participants were stratified by self-efficacy and assigned to one of two reminder conditions: reminders-presented versus reminders-absent. Self-efficacy and reminder conditions were crossed. Nested within the reminders-presented condition was a crossing of frequency of reminders sent (high, low) by distribution of reminders sent (distributed, massed). Participants in the low frequency condition got 7 reminders over 28 days; those in the high frequency condition were sent 14. Participants in the distributed conditions were sent reminders at uniform intervals. Participants in the massed distribution conditions were sent reminders in clusters. Results There was a significant overall effect of reminders on achieving a daily behavioral goal (coefficient=2.018, standard error [SE]=0.572, odds ratio [OR]=7.52, 95% CI 0.9037-3.2594, P<.001). As predicted by ACT-R, using default theoretical parameters, there was an interaction of reminder frequency by distribution on daily goal success (coefficient=0.7994, SE=0.2215, OR=2.2242, 95% CI 0.3656-1.2341, P<.001). The total number of times a reminder was acknowledged as received by a participant had a marginal effect on daily goal success (coefficient=0.0694, SE=0.0410, OR=1.0717, 95% CI −0.01116 to 0.1505, P=.09), and the time since acknowledging receipt of a reminder was highly significant (coefficient=−0.0490, SE=0.0104, OR=0.9522, 95% CI −0.0700 to −0.2852], P<.001). A dual system ACT-R mathematical model was fit to individuals’ daily goal successes and reminder acknowledgments: a goal-striving system dependent on declarative memory plus a habit-forming system that acquires automatic procedures for performance of behavioral goals. Conclusions Computational cognitive theory such as ACT-R can be used to make precise quantitative predictions concerning daily health behavior goal success in response to implementation intentions and the dosing schedules of reminders.
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Objective: This study assessed the effect of a default nudge to reduce sedentary behaviour at work over time. Design and main outcome measures: A field study was conducted at a governmental organisation. In the present study, the default setting of sit–stand desks (SSDs) was changed from sitting to standing height during a two-week intervention. Stand-up working rates were calculated based on observations that were done prior to, during, two weeks after and two months after the intervention. Additionally, a pre-measure survey (n = 606) and post-measure survey (n = 354) were completed. Intention and social norms concerning stand-up working were compared for the 183 employees who completed both pre- and post-assessments (45.4% female, Mage = 44.21). Results: Stand-up working rates raised from 1.82% in the baseline to 13.13% during the intervention. After the nudge was removed the percentage was 10.01% after two weeks and 7.78% after two months. A multilevel analysis indicated a significant increase in both intention and social norms after the nudge intervention. Conclusions: This study shows that a default nudge can increase stand-up working rates in offices with SSDs at least until two months after the nudge intervention.
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Background Dietary choices in out-of-home eating are key for individual as well as for public health. These dietary choices are caused by a wide array of determinants, one of which is automatic decision-making. Nudging is attracting considerable interest due to its understanding and application of heuristic biases among consumers. The aim of this study is to test and compare three nudges in promoting vegetable consumption among test persons in a food lab-based experiment. Methods The initial sample consisted of 88 participants recruited in Copenhagen, Denmark. Each study participant was randomly assigned to one of the three experiments: priming, default and perceived variety. The priming arm of the experiment consisted of creating a leafy environment with green plants and an odour of herbs. In the default arm of the experiment, the salad was pre-portioned into a bowl containing 200g of vegetables. The third experiment divided the pre-mixed salad into each of its components, to increase the visual variety of vegetables, yet not providing an actual increase in items. Each individual was partaking twice thus serving as her/his own control, randomly assigned to start with control or experimental setting. Results The default experiment successfully increased the energy intake from vegetables among the study participants (124 kcal vs. 90 kcal in control, p<0.01). Both the priming condition and perceived variety reduced the total energy intake among the study participants (169 kcal, p<0.01 and 124 kcal, p<0.01, respectively), mainly through a decrease in the meat-based meal component. Conclusions Considerable progress has been made with regard to understanding the use of nudging in promoting a healthier meal composition, including increasing vegetable intake. This study suggests that the nature of a nudge-based intervention can have different effects, whether it is increasing intake of healthy components, or limiting intake of unhealthy meal components. This work has demonstrated that consumer behaviour can be influenced without restricting or providing incentives for behaviour change. The present findings have promising application to the foodservice sector.
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Knowledge worker productivity is essential for competitive strength in the digital century. Small interventions based on insights from behavioural science makes it possible for knowledge workers to be more productive. In this point of view article, we outline and discuss a new management style which we label nudge management.
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Because people disproportionally follow defaults, both libertarian paternalists and marketers try to present options they want to promote as the default. However, setting certain defaults and thereby influencing current decisions, may also affect choices in later, similar decisions. In this paper we explore experimentally whether the default bias can be reinforced by providing good defaults. We show that people who faced better defaults in the past are more likely to follow defaults than people who faced random defaults, hurting their later performance. This malleability of the default bias explains certain marketing practices and serves as an insight for libertarian paternalists. This article is protected by copyright. All rights reserved.
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We present a taxonomy of choice architecture techniques that focus on intervention design, as opposed to the underlying cognitive processes that make an intervention work. We argue that this distinction will facilitate further empirical testing and will assist practitioners in designing interventions. The framework is inductively derived from empirically tested examples of choice architecture and consists of nine techniques targeting decision information, decision structure, and decision assistance. An inter-rater reliability test demonstrates that these techniques can be used in an intersubjectively replicable way to describe sample choice architectures. We conclude by discussing limitations of the framework and key issues concerning the use of the techniques in the development of new choice architectures.