Back to History Current Version

A Scientific Approach to Innovation Management

Last registered on February 24, 2022

Pre-Trial

Trial Information

General Information

Title
A Scientific Approach to Innovation Management
RCT ID
AEARCTR-0008945
Initial registration date
February 23, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
February 24, 2022, 1:14 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region
Region
Region
Region

Primary Investigator

Affiliation

Other Primary Investigator(s)

PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Bocconi University
PI Affiliation
Universidad de los Andes School of Management
PI Affiliation
Erasmus University Rotterdam
PI Affiliation
Erasmus University Rotterdam
PI Affiliation
ESADE

Additional Trial Information

Status
On going
Start date
2021-10-01
End date
2023-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Economic growth depends critically on managerial decisions that concern innovation, a context characterized by high uncertainty. Unfortunately, research shows that managers or entrepreneurs do not have good routines or methods to make decisions under uncertainty. This suggests that there might be serious benefits from improving the efficiency of public and private investments to nurture entrepreneurship. The goal of this project is to understand the implications of an approach that teaches managers to start their decision making process with a good framing of the problem, developing models that predict the outcomes of actions from logical
connections between antecedents and consequences, testing the model using existing data or data drawn from well-defined experimental designs and that assess the results in a disciplined way. We call this approach scientific because it overlaps to a significant
extent with the approach that scientists use to develop new knowledge. To this aim, the project designs and implements a large-scale randomized control trial (RCT) conducted in five countries (Italy, UK, Spain, Colombia, the Netherlands) based on an intervention that comprises six/eight training sessions over about three months offered to randomly generated groups of entreprenerurs.
External Link(s)

Registration Citation

Citation
Bacco, Francesca et al. 2022. "A Scientific Approach to Innovation Management." AEA RCT Registry. February 24. https://doi.org/10.1257/rct.8945-1.0
Experimental Details

Interventions

Intervention(s)
Start-ups receive 6x4h or 7x3h sessions of training (depending on the constraints of the different institutions that will host the RCT). However, the content of the training program is the same across RCTs/locations regardless of the number and length of the training sessions. These sessions include interactive lectures and coaching by qualified mentors/instructors each working with a subset of the start-up sample. The two different treated groups will receive the same amount of training on entrepreneurial decision making (on topics like business model canvas, customers' interviews, minimum viable products/services, prototype, etc.). The content of one treatment group (theory-driven) will emphasize both the theory and experimental elements within the scientific method. Specifically, this content includes the theory behind hypothesis development, rigorous test design processes, hypothesis testing, collection of evidence and disciplined evaluation. This will be referred to as the ‘theory-driven’ treatment group.
For the second treatment group (evidence-driven), greater emphasis will be devoted to hypothesis testing, collection of evidence and disciplined evaluation rather than the theory element.
A third set of participants, the ‘pure control’ group, will not receive any formal training but will be offered the opportunity to attend a set of informational events about entrepreneurial development and how to solve typical problems. These events will be open and available to entrepreneurs in all groups (at different times to avoid contamination). This will be done to keep up participants’ motivation and reduce the natural attrition that otherwise is likely to characterize this group.
Participants are assigned to the different treatment groups by simple randomization, or a stratified randomization in the locations where this would be needed (for example, where there is a need to offer training in multiple languages or in different locations within the same country).
Intervention (Hidden)

Intervention Start Date
2022-01-28
Intervention End Date
2022-07-01

Primary Outcomes

Primary Outcomes (end points)
Performance, pivot, project termination
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
• Degree of behavioural compliance with the treatment (scientific intensity)
• Number, diversity, distance and sequentiality of applications of the business idea identified by entrepreneurs
• The type of challenges perceived by the founder and perceived confidence in addressing those challenges
• Team dynamics (e.g., formation and changes in the composition of the entrepreneurial team)
• External evaluations of the entrepreneurial ideas
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We conduct a series of 5 RCTs in different Countries (Italy, the UK, The Netherlands, Colombia,and Spain) with approximately 150 early-stage entrepreneurs in each location to understand the conditions under which different elements to decision-making sustain entrepreneurial actions. We will randomly assign entrepreneurs who participate in the RCTs in each location to three experimental arms, corresponding to different combinations of the components of the scientific approach (theory and experimentation, experimentation and a control group). The intervention consists in a three-month entrepreneurship training program, offered free of charge to participants. We will monitor the performance of these three groups over time. Firms in both treatment groups will learn how to collect and evaluate information about their entrepreneurial ideas, though the content of the training is different between the two groups:
1) The first treatment group will receive training focused on the ‘evidence-driven’ approach, in which greater emphasis will be devoted to the “evidence” element within the scientific approach rather than devoted to the theory element.
2) The second treatment group will receive training based on the ‘theory-driven’ approach that emphasizes both the theory and experimental elements within the scientific approach.
3) We also have a pure control group, which includes entrepreneurs who will not receive training
We will observe the impact these decisions have over time, as the data collection process will take place over the course of one year.
Experimental Design Details
Randomization Method
Participants are assigned to the different treatment groups by simple randomization (done in office by a computer using STATA), or a stratified randomization in the locations where this would be needed (for example, where there is a need to offer training in multiple languages or in different locations within the same country).
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
750 individuals
Sample size: planned number of observations
7500 individual- month observations
Sample size (or number of clusters) by treatment arms
Allocation ratio= 1.5:1.5:1
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We justify the size of the samples based on experimental power calculations conducted using G*Power 3.1 (command F-tests, ANOVA: repeated measures, within-between interactions). We assume we detect a very small effect size (f=0.1), which is in line with the data and the outcomes in Camuffo et al. (2020a). We assume standard type I and type II errors (α err prob = 0.05 Power (1-β err prob) = 0.95). Given the three arms of the RCT, about 10 observations per firm, and making standard assumptions about correlation among repeated measures (0.5) and correction for non-sphericity (ε = 1), we obtain a required total sample size of 150 firms, which is in line with the above-described target sample size. All in all with six locations, 150 firms per location and 10 data points, we aim at a panel dataset composed of 9000 observations This provides a comfortable buffer suggesting a sufficiently large power of the test even if, for some groups, the estimated effect sizes might be smaller than the anticipated effect used in this case.
IRB

Institutional Review Boards (IRBs)

IRB Name
Business School Proportionate Review - City, University of London
IRB Approval Date
2021-12-01
IRB Approval Number
ETH2122-0344
IRB Name
Comité de Ética – Facultad de Administración – Universidad de los Andes
IRB Approval Date
2021-10-26
IRB Approval Number
MEMORANDO GENERAL No 70
IRB Name
Bocconi Research Ethics Committee
IRB Approval Date
2022-02-15
IRB Approval Number
FA000404
IRB Name
Rotterdam School of Management IRB-E
IRB Approval Date
2021-10-14
IRB Approval Number
ETH2122-0094
IRB Name
ESADE Research Ethics Committee
IRB Approval Date
2021-12-16
IRB Approval Number
027-2021
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials