Randomized Field Experiment Research Articles

How effective is AI augmentation in human–AI collaboration? Evidence from a field experiment

PurposeCompanies increasingly leverage artificial intelligence (AI) to enhance human performance, particularly in e-commerce. However, the effectiveness of AI augmentation remains controversial. This study investigates whether, how and why AI enhances human agents’ sales through a randomized field experiment.Design/methodology/approachThis study conducts a two-by-two factorial randomized field experiment (N = 1,090) to investigate the effects of AI augmentation on sales. The experiment compares sales outcomes handled solely by human agents with those augmented by AI, while also examining the moderating effect of agents’ experience levels and the underlying mechanisms behind agents’ responses.FindingsThe results reveal that AI augmentation leads to a significant 5.46% increase in sales. Notably, the impact of AI augmentation varies based on agents’ experience levels, with inexperienced agents benefiting nearly six times more than their experienced counterparts. Mediation analysis shows that AI augmentation improves response timeliness, accuracy and sentiment, thereby boosting sales.Originality/valueThis study highlights the role of AI augmentation in human–AI collaboration, demonstrates the varying impacts of AI augmentation based on agents’ experience levels and offers insights for organizations on how to regulate AI augmentation to enhance agent responses and drive sales.

Gender, Race, and Entrepreneurship: A Randomized Field Experiment on Venture Capitalists and Angels

We study gender and race in high-impact entrepreneurship using a tightly controlled randomized field experiment. We sent out 80,000 pitch emails introducing promising but fictitious start-ups to 28,000 venture capitalists and angels. Each email was sent by a fictitious entrepreneur with randomly assigned gender and race. Female entrepreneurs received 9% more interested replies than males pitching identical projects and Asians received 6% more than Whites. Our results suggest that investors do not discriminate against female or Asian entrepreneurs when evaluating unsolicited pitch emails and that future research on investor biases should focus on networks and in-person interactions. This paper was accepted by Tomasz Piskorski, finance. Funding: The grant is Social Sciences and Humanities Research Council of Canada Insight Development [Grant 430-2019-00306] “Gender and racial discrimination in venture capital” through the University of British Columbia. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2024.4990 .

Compliance measurement and labour regulation enforcement: a randomized field experiment

ABSTRACT Labour regulation matters for the economy. But measuring firms’ compliance with this regulation poses significant challenges as inspections, enforcement, or reporting might be correlated to compliance risk factors of each firm. We propose estimating the compliance rate by a randomized controlled trial (RCT) of standard labour inspections. We run the experiment on small and medium firms (SME) in Chile. We estimate a non-compliance sanction rate of 13%. Our results are robust to various alternative estimation methods. Additional results look at the effects of enforcing labour laws, showing no significant differences on firms’ growth; neither on the intensive (employment and sales) nor the extensive margin (exit). Nonetheless, the experiment had limited power for these additional results. Our methods and results matter for the monitoring and enforcement of labour policies.

Financial Transparency of Private Firms: Evidence from a Randomized Field Experiment

ABSTRACTThis paper examines why private firms choose to be financially transparent or opaque by conducting a field experiment with more than 25,000 firms in Germany. We inform a randomly chosen set of firms about a disclosure option that allows eligible firms to restrict access to their otherwise publicly available financial statements. We also vary the messaging in subtle ways to induce experimental variation in the probability that firms take transacting (capital providers or customers and suppliers) versus non‐transacting stakeholders (competitors or general interest parties) into consideration when making their filing decision. Based on each firm's actual filing decision, we find that treated firms are 15% more likely to restrict access to their financial statements. This intention‐to‐treat effect is persistent and concentrated among firms that should derive lower net benefits from disclosure (smaller, more mature firms in less capital‐intensive industries). These findings indicate that informational constraints affect firms’ disclosure practice. Additionally, we show that the treatment effect is almost 40% larger for firms that have a higher, exogenously induced, probability of considering non‐transacting stakeholders when making their disclosure decision. By analyzing subsequent firm activity and complementary survey evidence, we also provide suggestive evidence that disclosure requirements put an undue burden on very small private firms.

CAN MASS MEDIA CAMPAIGNS INCREASE DEMAND FOR RENEWABLE ENERGY? EXPERIMENTAL EVIDENCE FROM SENEGAL

Abstract This paper examines public investment in mass media campaigns aimed at stimulating market-led growth within the renewable energy sector in a developing country setting. We run a randomized field experiment to estimate the impact of a large-scale information campaign on the adoption of renewable energy technology, which includes clips broadcasted on national radio and print materials distributed in rural villages in Senegal. While the radio campaign primarily influences the number of renewable energy products owned by existing users (intensive margin), the combination of radio and print significantly increases the number of new adopters (extensive margin). However, when scaled nationally, we calculate a meaningful advantage of the radio clips over the print materials in terms of the cost per additional sales of solar lamps. The study further introduces an innovative methodological approach for examining nationally broadcasted information campaigns, offering valuable insights for future research and policy evaluations.

Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Stations at Alibaba

Many e-commerce platforms have established extensive networks of stations as their last-mile logistics infrastructure. This study investigates how this last-mile infrastructure may serve as an offline platform to connect customers and merchants in the physical world by leveraging walk-in traffic (organic interaction) and prompting interested customers through online intervention (induced interaction). Using free sample distribution as an example, we designed two large-scale studies in collaboration with Alibaba—an observational study across 1,032 stations and a randomized field experiment among 189,019 customers—to examine the causal effects of organic and induced interactions on customers’ subsequent online purchases from the focal brands, respectively. We found that induced interaction drives significantly more online sales than organic interaction. Under induced interaction, the online intervention effectively increases the number of free samples distributed. Nevertheless, the more significant increase in online sales for induced claimers is not simply due to more free samples distributed but because the induced customers are more interested and more likely to purchase. We identified this phenomenon as a screening mechanism that facilitates an advantageous selection of customers claiming the samples. Customers willing to pay the additional travel cost to claim samples are more likely to purchase the focal brands afterward. Finally, we developed a customized targeting framework using a generalized random forest model to enhance the effectiveness of induced interaction at the last-mile stations. Our study raises a key insight that the “foot-in-the-door” traffic in an omnichannel environment can be fundamentally different depending on whether the offline customers are driven from the online channel.

Tillage and land use management effects on soil organic matter and soil microbial biomass in a field network of practical farms in France, Romania, and Sweden

A reduction in tillage intensity, organic farming, and introduction of ley-grass periods into the crop rotation are means to improve the sustainable use of arable soils. The current study uses an on-farm approach to investigate soils from different practical farms in Northern France, Central Sweden, and Romania in comparison with previously published results from randomized field-experiments nearby. No-tillage generally increased the mean SOC and total N contents of arable fields in comparison with ploughing. However, this increase was only significant for the 70 % increase at 0–10 cm depth in France. No-tillage had no general effects on MBC or MBN and increased the ergosterol content at 0–10 cm depth in France and Sweden but not in Romania. Averaging depths and tillage systems, median MBC significantly increased in the order France (220 μg g−1 soil), Romania (324 μg g−1 soil), and Sweden (384 μg g−1 soil), whereas the median MB-C/N ratios followed the order France (5.6), Sweden (8.3), and Romania (10.4). The study region-specific changes in soil pH significantly affected covariate MBC and MBN in the regression equations for equal slopes ANCOVA models. In Northern France, organic farming and ley-grass implementation into the crop rotation increased SOC and total N contents to the level of the no-tillage fields. On-farm research gives similar results to long-term field experiments in France, Romania, and Sweden. For this reason, on-farm research on practical fields is an important, less expensive alternative to randomized field experiments, with a high potential for investigating actual and relevant research objectives. This will intensify exchange in knowledge between scientists and farmers.

Increasing the use of telemedicine: A field experiment.

Patients are reluctant to use telemedicine health services, compared to its substitute in-person visits. One reason is that telemedicine can be accurately evaluated and compared to its substitute only after the product has been adopted and experienced. As such, an intervention that increases the probability of a first experience can have lasting effects. This article reports the results of a randomized field experiment conducted in collaboration with a health insurance company. During the intervention, half of the households out of 3,469 in the sample received periodic e-mails with information about the available services. It effectively increased the take-up and demand for telemedicine. Within the first 8 months of the experiment, patients assigned to the treatment group were 6 percentage points more likely to have used the service at least once (and had about five times the odds of using telemedicine compared to those in the control group). Eight months after the start of the intervention, the number of virtual consultations by the treatment group was six times larger than that of the control group. These results, even if limited by the sample and context in which the intervention took place, provide additional evidence about how information interventions can increase technological take-up within the health sector and could serve as the stepping stone for evaluating the impact of telemedicine on health outcomes causally.

Emotional and motivational effects of automated and personalized formative feedback: The role of reference frames

AbstractBackgroundDevelopments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback suggests that effective feedback, among other features, provides learners with a standard to compare their performance with, often called a reference frame. Past research has highlighted the emotional and motivational benefits of criterion‐referenced feedback (i.e., performance relative to a learning objective or mastery goal) compared to norm‐referenced feedback (performance relative to peers).ObjectivesDespite a substantial body of evidence regarding reference frame effects, important open questions remain. The questions encompass, for example, whether the benefits and drawbacks of norm‐referenced feedback apply in the same way to automated and personalize feedback messages and whether these effects apply to students uniformly. Further, the potential impacts of combining reference frames are largely unknown, even though combinations may be quite frequent in feedback practice. Finally, little research has been done on the effects of reference frames in computer‐supported collaborative learning, which differs from individual learning in meaningful ways. This study aims to contribute to addressing these open questions, thus providing insights into effective feedback design. Specifically, we aim to investigate usefulness perceptions as well as emotional and motivational effects of different reference frames—and their combination—in automated and personalized formative feedback on a computer‐supported collaborative learning task.MethodsA randomized field experiment with four feedback conditions (simple feedback, norm‐referenced, criterion‐referenced, and combined feedback) was conducted in a course within a teacher training program (N = 282). Collaborative groups worked on a learning task in the online learning environment, after which they received one of four possible automated and personalized formative feedback. We collected student data about feedback usefulness perceptions, motivational regulation, and achievement emotions to assess the differential effects of these feedback conditions.ResultsAll feedback types were perceived as useful relative to the simple feedback condition. Norm‐referenced feedback showed detrimental effects for motivational regulation, whereas combined feedback led to more desirable motivational states. Further, criterion‐referenced feedback led to more positive emotions for overperformers and to more negative emotions for underperformers. The findings are discussed in light of the broader feedback literature, and recommendations for designing automated and personalized formative feedback messages for computer‐supported collaborative learning are presented.

Using Novel Multimethod Evaluation Approaches to Understand Complex Food System Interventions: Insights from a Supply Chain Intervention Intended to Improve Nutrition

BackgroundA “food system” approach to improve diet quality by intervening within areas such as food supply chains is gaining prominence. However, evidence of such interventions’ impact, and understanding of appropriate methods to evaluate them, is lacking. ObjectivesWe present an impact evaluation of an intervention that aimed to increase consumption of nutritious foods by supporting food-producing firms in Kenya. In doing so, we demonstrate how multiple methods, including those from other disciplines, can be used to evaluate a complex food systems intervention. MethodsFour methods focused on food-producing firms and their management, including a survey of intervention participants (n = 83 individuals), a “laboratory-in-the-field” experiment (n = 83 individuals), baseline/endline data on firm performance (n = 71 firms), and semistructured interviews (n = 19 firms). Three methods focused on consumers in neighborhoods targeted by a supported firm: a randomized field experiment tested effects of making a supported product exhaustively available on consumers’ purchases and consumption (n = 1295 consumers); 3 discrete choice experiments (n = 1295 consumers) tested factors influencing consumers’ willingness to pay for foods with relevant characteristics. ResultsAmong firms, we saw suggestive evidence of increased networking and business relationships, while laboratory-in-the-field experiments indicated the intervention might foster cooperation among participants. Qualitative interviews suggested that the intervention enabled firms to increase production, improve management, increase revenues, and lower costs. Baseline/endline data confirmed a positive effect only on the launch of new products and hiring workers. In the field experiment, consumption of the supported product increased in areas where it was made available relative to a control group, but this did not increase overall consumption of the food type or dietary diversity. ConclusionsResults showed positive signs of the intervention improving firm-level outcomes but limited impact on consumers’ diet quality. The evaluation also demonstrates how diverse methods can be used to evaluate complex interventions.

Do People Respond to the Climate Impact of their Behavior? The Effect of Carbon Footprint Information on Grocery Purchases

Food production is a primary contributor to climate change, and one way to mitigate its effect is through consumption choices. Finding the most effective way to achieve emissions reduction via consumers behavioral change has recently raised policy-makers' interest but experimental evidence about this is still scarce. In this study, we examine the impact of individualized information about greenhouse gas emissions on grocery purchases. Using a randomized field experiment, we compare the effects of individualized information on the carbon footprint of grocery purchases to individualized information on grocery spending provided through a smartphone app. Compared to the spending information, the carbon footprint information decreases emissions from groceries by 27% in the first month of treatment, with 45% reductions in emissions from beef, the highest emissions food group. Treatment effects fade in the longer run along with app engagement but persist among those engaged with the app. Our results suggest that the provision of emissions information, in particular when paired with sufficient engagement, is a promising avenue for policies to turn food consumption greener.

How an increase in income affects the use of dental care services among a low-income population: evidence from the Finnish basic income experiment

BackgroundPrevious research has shown that the use of dental care services has a significant socioeconomic gradient. Lower income groups tend to use dental care services less, and they often have poorer dental health than higher income groups. The purpose of this study is to evaluate how an increase in income affects the use of dental care services among a low-income population.MethodsThe study examines the causal effect of increasing cash transfers on the use of dental care services by utilizing unique register-based data from a randomized field experiment conducted in Finland in 2017–2018. The Finnish basic income experiment introduced an exogenous increase in the income of persons who previously received basic unemployment benefits. Register-based data on the study population’s use of public and private dental care services were collected both for the treatment group (N = 2,000) and the control group (N = 173,222) of the experiment over a five-year period 2015–2019: two years before, two years during, and one year after the experiment. The experiment’s average treatment effect on the use of dental care services was estimated with OLS regressions.ResultsThe Finnish basic income experiment had no detectable effect on the overall use of dental care services. However, it decreased the probability of visiting public dental care (-2.7% points, -4.7%, p =.017) and increased the average amount of out-of-pocket spending on private care (12.1 euros, 29.8%, p =.032). The results suggest that, even in a country with a universal public dental care coverage, changes in cash transfers do affect the dental care patterns of low-income populations.

AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals

As content moderation becomes a central aspect of all social media platforms and online communities, interest has grown in how to make moderation decisions contestable. On social media platforms where individual communities moderate their own activities, the responsibility to address user appeals falls on volunteers from within the community. While there is a growing body of work devoted to understanding and supporting the volunteer moderators' workload, little is known about their practice of handling user appeals. Through a collaborative and iterative design process with Reddit moderators, we found that moderators spend considerable effort in investigating user ban appeals and desired to directly engage with users and retain their agency over each decision. To fulfill their needs, we designed and built AppealMod, a system that induces friction in the appeals process by asking users to provide additional information before their appeals are reviewed by human moderators. In addition to giving moderators more information, we expected the friction in the appeal process would lead to a selection effect among users, with many insincere and toxic appeals being abandoned before getting any attention from human moderators. To evaluate our system, we conducted a randomized field experiment in a Reddit community of over 29 million users that lasted for four months. As a result of the selection effect, moderators viewed only 30% of initial appeals and less than 10% of the toxically worded appeals; yet they granted roughly the same number of appeals when compared with the control group. Overall, our system is effective at reducing moderator workload and minimizing their exposure to toxic content while honoring their preference for direct engagement and agency in appeals.

Effect of poultry litter soil amendment on antibiotic-resistant Escherichia coli.

Given the high cost and non-renewability of mineral-based fertilizers, there is increasing interest in the innovative use of manure-based materials, such as poultry litter (PL). However, manure-based fertilizers add both nutrients and microbes to the soil, including antibiotic-resistant Escherichia coli (AREc). PL soil amendment impact on AREc in corn fields was evaluated in a randomized field experiment (May-October 2017). Two winter cropping systems (fallow and cover crop) were assigned to whole plots, with three spring-applied fertilizer treatments (untreated control [UC], PL, and commercial fertilizer [CF]) assigned to subplots. Soil was collected from 0 to 15cm on days 0, 7, 28, 70, 98, and 172 post-treatment applications. Samples were cultured for the enumeration and prevalence of generic, tetracycline-resistant (TETr), third-generation cephalosporin-resistant (3GCr) E. coli isolates, and extended spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae. PL soil amendment significantly (p < 0.05) increased the levels of generic E. coli, TETr E. coli, and 3GCr E. coli on days 7 and 28 compared to UC or CF. Beyond day 28, AREc did not significantly (p>0.05) differ by fertilizer treatment and returned to baseline on day 70. ESBL-producing Enterobacteriaceae were detected from 16 samples, mostly on day 70. Cover crop significantly decreased TETr E. coli concentration on day 28, with no significant effects on the prevalence of 3GCr E. coli and ESBL-producing Enterobacteriaceae compared to no cover crop. All ESBL-producing Enterobacteriaceae and 79% of the 3GCr E. coli isolates were positive for blaCTX-M gene by polymerase chain reaction. Results show that PL soil amendment transiently increases the levels of AREc compared to mineral fertilizer.

Gender mismatch and bias in people‐centric operations: Evidence from a randomized field experiment

AbstractResearch at the interface of operations management (OM) and gender bias has mostly focused on operational outcomes such as hiring decisions on behalf of the employer (or firm). Largely overlooked is how the design of operational processes exacerbates (or diminishes) the amount of gender bias exhibited on behalf of the customer in a people‐centric operations environment. In this study, we conduct a randomized field experiment with a partner firm to assess gender mismatch and bias in client‐consultant exchanges. The experimental design enables us to examine gender bias within dyadic exchanges when there are gender matches (female client‐female consultant or male client‐male consultant) or gender mismatches (female client‐male consultant or male client‐female consultant). We find that reporting the consultant's gender significantly increases the client's likelihood of leaving more and higher reviews, increases the clickthrough rate on recommended products, and that the effect is stronger for females than for male consultants. We also provide support for the heterogenous effects of client experience depending on the gender (mis)match in client‐consultant exchanges, including whether the prior effects hold when there is gender masking or manipulation (e.g., reported female consultant when actually male). Our findings offer important theoretical contributions and practical implications for OM scholars and managers.

Public-Transportation Credits: The potential of three-part tariffs in public transportation

In December 2023, public-transportation providers in Switzerland introduced Public-Transportation Credits (PTCs). PTCs are credits (or “allowances”) that are greater in amount than their price and can be used to purchase any type of public-transportation tickets within a year. With the initial fixed payment, the subsequent use of the allowance and the eventual return to the standard fare, PTCs represent three-part tariff models. We explore the potential of PTCs to target particularly elastic segments of the demand curve, simultaneously allowing for increased consumption and higher revenue. To assess the revenue impact of the PTC empirically, we analyze a pilot study conducted by the Swiss public-transportation providers. In a randomized field experiment with 200,000 PTC invitees and 911 actual PTC buyers, we use the dispach of invitations as an instrumental variable. While observing substantial revenue increases, this result is insignificant due to the weak relationship between invitees and buyers. Therefore, we complement our analysis with a selection-on-observable approach, utilizing machine-learning techniques to match PTC buyers to customers in the control group. This way, we reveal a highly significant treatment effect, indicating a revenue enhancement of CHF179.7 per PTC (approximately USD200). Leveraging our comprehensive dataset and insights from a non-buyer survey, we predict a demand of around 200,000 units for the market-launch version of the PTC.

Testing a decoy donation incentive to improve online survey participation: Evidence from a field experiment.

This study introduces a new randomized field experiment exploring the impact of offering a decoy charity donation incentive together with a monetary reward to increase response rates in an online survey about coronavirus fears. The study used a two-stage approach, starting with a preliminary survey to investigate participant attitudes toward different types of donations. Subsequently, an experiment was conducted wherein a less desirable £2 donation (the decoy) was introduced as an alternative to a £2 Amazon voucher (the target) within the choice set. The study sample consisted of 431 university students. They were split into three groups: a control group with a standard £2 Amazon voucher incentive (216 participants), a decoy group with the target shown first (108 participants), and a decoy group with the decoy shown first (107 participants). We found significantly higher survey completion rates in the decoy than in the control condition (82.3% vs. 74.5%). Notably, an order effect was observed-presenting the target before the decoy led to a higher completion rate (89.8%) compared to presenting the decoy first (74.8%). Importantly, the inclusion of the decoy incentive did not introduce any response bias. This study offers a proof of principle that incorporating a decoy charity donation incentive into the choice set can have a positive impact on survey participation without adversely affecting response behaviour. It demonstrates the potential of such incentives to encourage participants to complete online surveys, even when a small monetary reward is offered.

Predicting the individual effects of team competition on college students’ academic performance in mobile edge computing

Mobile edge computing (MEC) has revolutionized the way of teaching in universities. It enables more interactive and immersive experiences in the classroom, enhancing student engagement and learning outcomes. As an incentive mechanism based on social identity and contest theories, team competition has been adopted and shown its effectiveness in improving students’ participation and motivation in college classrooms. However, despite its potential benefit, there are still many unresolved issues: What type of students and teams benefit more from team competition? In what teaching context is team competition more effective? Which competition design methods better increase student academic performance? Mobile edge computing provides the ability to obtain the data of the teaching process and analyze the causal effect between team competition and students’ academic performance. In this paper, the authors first design a randomized field experiment among freshmen enrolled in college English courses. Then, the authors analyze the observation data collected from the online teaching platform, and predict individual treatment effects of academic performance in college English through linear and nonlinear machine learning models. Finally, by carefully investigating features of teams and individual students, the prediction error is reduced by up to 30%. In addition, through interpreting the predictive models, some valuable insights regarding the practice of team competition in college classrooms are discovered.

Examining the effect of weight-related recruitment information on participant characteristics: A randomized field experiment.

Although 82% of American adults have a body mass index (BMI) of over 25, individuals with elevated BMI are considered difficult to recruit for studies. Effective participant identification and recruitment are crucial to minimize the likelihood of sampling bias. One understudied factor that could lead to sampling bias is the study information presented in recruitment materials. In the context of weight research, potential participants with higher weight may avoid studies that advertise weight-related procedures. Thus, this study experimentally manipulated the phrasing of weight-related information included in recruitment materials and examined its impact on participants' characteristics. Two visually similar flyers, either weight-salient or neutral, were randomly posted throughout a university campus to recruit participants (N=300) for a short survey, assessing their internalized weight bias, anticipated and experienced stigmatizing experiences, eating habits, and general demographic characteristics. Although the weight-salient (vs. neutral) flyer took 18.5days longer to recruit the target sample size, there were no between flyer differences in respondents' internalized weight bias, anticipated/experienced weight stigma, disordered eating behaviors, BMI, or perceived weight. Absolute levels of these variables, however, were low overall. Providing detailed information about study procedures allows participants to have more autonomy over their participation without differentially affecting participant characteristics.

Advancing work–life supportive contexts for the “haves” and “have nots”: Integrating supervisor training with work–life flexibility to impact exhaustion or engagement

AbstractEmployers face many dilemmas in effectively implementing work–life flexibility to support employees' personal lives. A key issue is that some employees hold jobs with limited opportunities for work–life flexibility, making them susceptible to burnout; yet most employers believe they can do little to mitigate this dynamic. Furthermore, even when employees hold jobs with greater access to work–life flexibility, some do not take advantage of their flexibility to more fully engage in work and/or home roles. These issues are further exacerbated when supervisors are unsure of their role in supporting work–life flexibility. We identify work–life supportive context as a key factor that provides solutions to these dilemmas. Drawing on job demands resources theory, we posit that, when organizations provide work–life supportive training to supervisors, it promotes a work–life supportive context (i.e., signaling that the organization is supportive of employees' managing their work–life interface), which mitigates burnout for those with limited work–life flexibility and promotes engagement in work and home roles for those with greater work–life flexibility. Results from a year‐long randomized field experiment suggest that, in contexts with trained supervisors and lower employee control over work schedules and boundaries (i.e., lower work–life flexibility), emotional exhaustion is reduced. In contexts with trained supervisors and higher employee control over work boundaries (i.e., higher work–life flexibility), family engagement increases. Surprisingly, irrespective of job access to work‐life flexibility, supervisor participation in work–life support training did not enhance employee work engagement. Implications of our findings for fostering work–life supportive contexts are considered.