IGL Trials Database

The study is an impact evaluation of a training program that induced SMEs to adopt broadband connections, establish presence on online retail and potentially export their goods or services.

The main objective of this project is to test the effects of feedback with and without relative ranking scores on SMEs and first-time applicants performance in the funding program “General Programme” of the FFG, and business performance after the program. The feedback for each firm will be based on evaluations scores of the respective funding proposal from project evaluators in the FFG. The participants in the RCT are all Start-ups, SMEs, and large companies who are first-time applicants accepted into the funding program in the timespan of a year.

Many Start Ups and Small & Medium Enterprises (SME) have an immature methodological approach to innovation and half of them present a clear deficit in innovation know-how, pointing towards a need for extra support. The efficacy of two approaches to building knowledge and increasing awareness of non-technical innovation among Start Ups and Small and Medium Enterprises (SME) will be tested.

This paper asks to what extent firms are aware of readily available information on key competitor decisions, and how this information impacts firms’ strategic choices.

In this study, we empirically examine the effect of sharing information with close or distant competitors as part of an incubation program. There is recent evidence of substantial heterogeneity in acceleration programs, with qualitative research highlighting that the main benefit for participants to these programs is the increased exposure to information and the feedback they obtain. Such exposure helps balance the bounded rationality of founders.

Indian weaving firms are visited again nine years after a randomized experiment that changed their management practices.

This trial investigates the best way to help agents perform better, as firms providing products and services to low income Base of the Pyramid (BOP) customers are increasingly utilizing independent contractor agents rather than employees in their distribution models.

Many have advocated for the expansion of peer review to improve scientific judgments in law and public policy. One such test case is the patent examination process, with numerous commentators arguing that scientific peer review can solve informational deficits in patent determinations. We present results from a novel randomized field experiment, carried out over the course of three years, in which 336 prominent scientific experts agreed to provide input on U.S. patent applications. Their input was edited for compliance with submission requirements and submitted to the U.S.

The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic behavior by agents. We theorize that domain expertise of users can complement ML by mitigating this bias. Our observational and experimental analyses in the patent examination context support this conjecture.

Unlike many other studies, this trial is an impact assessment of training programs that covered quality control and production management as the training topics in addition to entrepreneurship, marketing, and record keeping.

The engagement with industry actors is a key element in the transition towards an entrepreneurial university model. The purpose of this paper is to explore the university–industry collaboration (UIC) drivers from the industry side. It analyses how, and to what extent, policy interventions could increase the engagement of industry actors in UICs.

What is the effect of exposing motivated youth to firm management in practice? To answer this question, we place young professionals for one month in established firms to shadow middle managers. Using random assignment into program participation, we find positive average effects on wage employment, but no average effect on the likelihood of self-employment. Within the treatment group, we match individuals and firms in batches using a deferred-acceptance algorithm. We show how this allows us to identify heterogeneous treatment effects by firm and intern.

This field experiment involved more than 2,000 secondary school students, where the treatment group was incentivised to watch an edutainment show.

Differences in productivity may be driven by heterogeneity in skills but also the extent to which individuals are motivated to do their job over and above financial compensation. The proposed research will unpack the sources of intrinsic motivation and test whether these can be leveraged to increase productivity. To do so we will run a cross-country field experiment in collaboration with a multinational company that offers one-day workshops that guide employees on how to connect their individual purpose with their work.