IGL Trials Database

Innovating product design is crucial for firms operating in the digital sector as it is closely linked with innovation capability and, therefore, with firm performance and productivity. In this paper, we run a randomized controlled trial to assess if participating in an open innovation initiative increases SMEs’ capability to design more competitive digital products. More specifically, the intervention aimed at increasing firms’ knowledge of the Design Sprint and their readiness to implement user-centered design techniques.

Business-science collaboration is essential for fostering innovation and economic development, particularly in rapidly evolving sectors like AI and Energy Efficiency and Sustainability. We study how to enhance the collaboration between firms and scientists given persistent barriers such as information frictions, behavioral biases, and high transaction costs. To address existing challenges, the research investigates the potential of matchmaking interventions.

Psychological safety (PsyS) is an important driver of teams’ performance and organizations are keen to foster it. However, there is little causal evidence on what drives it and how to increase it. This paper implements a randomized control trial with over 1000 teams (over 7000 employees) in a global healthcare company to evaluate the impact of individualized attention of the manager to each team member team by encouraging managers to hold frequent 1-to-1 meetings and to focus them on mechanisms expected to increase PsyS.

We conduct a field experiment in partnership with the largest job platform in Brazil to study how environmental, social, and governance (ESG) practices of firms affect talent allocation. We find both an average job-seeker's preference for ESG and a large degree of heterogeneity across socioeconomic groups, with the strongest preference displayed by highly educated, white, and politically liberal individuals. We combine our experimental estimates with administrative matched employer-employee microdata and estimate an equilibrium model of the labor market.

We are providing a preview of a project that analyzes two field experiments with 1,974 software developers at Microsoft and Accenture to evaluate the productivity impact of Generative AI. As part of our study, a random subset of developers was given access to GitHub Copilot, an AI-based coding assistant that intelligently suggests ‘completions’ for code. Our preliminary results provide suggestive evidence that these developers became more productive, completing 12.92% to 21.83% more pull requests per week at Microsoft and 7.51% to 8.69% at Accenture (depending on specification).

Understanding how to design policies to effectively reduce firm-level carbon emissions while minimizing impacts on economic growth is a question of central importance in the battle to mitigate climate change. The EU is proposing a Carbon Border Adjustment Mechanism (CBAM) that will tax imports to better reflect their carbon content. This project evaluates three policies that provide firms with training and assistance obtaining loans with the goal of mitigating the impacts of CBAM on Turkish SMEs.

Management strategies significantly influence worker productivity, retention, career growth, and the overall performance of a firm. Traditional top-down approaches have typically underscored the importance of supervisors in shaping managerial quality and employee performance. Much research suggests that training supervisors to effectively manage their subordinates may be a useful way to enhance supervisor-worker relationships and, in turn, boost firm productivity. However, these approaches may face two primary challenges.

Failure is widely acknowledged as a critical component of the organizational learning and innovation processs. Learning from failure, in particular, seems extremely relevant in the context of entrepreneurship, where failure often emerges as the predominant outcome. Remarkably, most entrepreneurship training programs predominantly emphasize success stories of entrepreneurs, without leveraging the learning potential that come from stories of failure.

Does growth training help entrepreneurs scale-up new ventures? Our field experiment answers this question using data from 181 Singapore-based, early-growth entrepreneurs drawn from a broad range of industry sectors. Treatment content focused on three growth-catalyst tools relevant for formulating and executing innovation-led growth: business-model design, leveraging external networks, building internal teams. Treatment format comprised interactive lecture sessions and workshops on these tools supplemented by personalized coaching in applying the tools to entrepreneurs’ specific challenges.

We study how local public infrastructure investment affects neighborhood economies. By tracking the impacts of US$68 million of randomized investments in Mexican municipalities, we document how government investment leads to sustained increases in the size and profitability of treated private-sector companies. Initially, wages rise to compensate for higher costs of living, inefficient firms die, and more efficient firms grow faster. Over the subsequent decade treated firms increase their capital stocks and revenues, suggesting durable improvements in the structure of the local economy.

We show in a large-scale field experiment that a brief exposure to female role models working in scientific fields affects high school students’ perceptions and choices of undergraduate major. The classroom interventions reduced the prevalence of stereotypical views on jobs in science and gender differences in abilities. They also made high-achieving girls in grade 12 more likely to enrol in selective and male-dominated science, technology, engineering and mathematics programs in college.

This study examines the influence of information constraints on firms’ efficiency in using digital technologies, focusing on business websites. Through two natural field experiments in the UK, we provide firms with benchmarked performance information on their websites. The experimental designs enable us to assess the salience of the information provided and heterogeneity linked to prior experience and catch-up potential.

First, we will recruit people to provide advice on whether to invest in actual start-up firms and to provide a justification for their decision. We create pairs of advisors that provide the same recommendation but differ by race and gender. Next, we recruit participants for the role of investors. Each participant is endowed with one dollar for each of the four investment rounds. The adviser provides her/his assessment and investment recommendation. The investor then decides how much to invest, and the outcome is revealed.

Can a set of low-cost behavioural nudges encourage more small businesses to adopt productivity-raising digital technologies? This randomised controlled trial sought to test whether businesses could be nudged into using a cloud-based system to improve the efficiency of invoice processing. All participants in the trial were offered access to the system free of charge for a 12-month period, with a treatment group receiving weekly email reminders to make use of the system.