The Impact of Financial and Complementary Support Instrument on MSME Digitalization: A Multi-Country RCT in the European Union

Last registered on August 14, 2024

Pre-Trial

Trial Information

General Information

Title
The Impact of Financial and Complementary Support Instrument on MSME Digitalization: A Multi-Country RCT in the European Union
RCT ID
AEARCTR-0014021
Initial registration date
August 08, 2024

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
August 14, 2024, 2:24 PM EDT

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

Locations

Region
Region

Primary Investigator

Affiliation
The World Bank

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2024-06-21
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Digitalization is increasingly recognized as a crucial driver of business operations and competitiveness. However, causal empirical evidence linking digital adoption to Micro, Small, and Medium-sized Enterprises (MSME) productivity, growth, and resilience remains scarce. Information on effective public interventions to enhance technology adoption and usage among MSMEs is also limited. This research investigates the impact of digital technology adoption on MSME productivity and economic performance through a multi-country randomized controlled trial (RCT) of a firm-level support instrument. The study focuses on non-financial barriers such as limited technical expertise and inadequate managerial practices.

Utilizing data from the World Bank's Digitrans Project, which pilots an intervention targeting 900 MSMEs in Bulgaria, Poland, and Slovakia, this study examines the effectiveness of an instrument addressing non-financial challenges to MSME digitalization—primarily limited technical expertise and managerial practices—compared to an intervention providing only a time-limited financial incentive. By comparing outcomes of these two approaches, the study aims to elucidate the role of non-financial barriers in driving digital adoption and identify effective strategies for overcoming these obstacles.

Registration Citation

Citation
Iwanowski, Damian. 2024. "The Impact of Financial and Complementary Support Instrument on MSME Digitalization: A Multi-Country RCT in the European Union." AEA RCT Registry. August 14. https://doi.org/10.1257/rct.14021-1.0
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Experimental Details

Interventions

Intervention(s)
The Digitrans Project will pilot an intervention to address these challenges by targeting 900 eligible MSMEs (5-35 employees, operational for at least 12 months, and at a foundational level of digital sophistication) in Bulgaria, Poland, and Slovakia. Each country will host 300 firms. Of these, 390 firms will receive a combination of financial subsidies and technical assistance to enhance their digital tool utilization.

The intervention comprises three main components:
1. Benchmarking Report: An automatically generated report comparing an eligible firm's digitalization level with similar firms from comparable sectors and sizes.
2. Financial Subsidy: Up to EUR 2,000 per firm to cover the costs of subscriptions or licenses for digital business tools, aiming to reduce financial barriers to digital adoption.
3. Technical Assistance: An 8-week advisory and training program providing hands-on support to MSMEs in preparing for and executing investments in digital tools and implementing related managerial and organizational changes. This includes:

The study will randomly assign eligible firms into one of three groups:
- Treatment Arm 1 – Firms receiving Financial Subsidy and Benchmarking Report – total of 195 firms (65 firms per country).
- Treatment Arm 2 – Firms receiving Financial Subsidy, Benchmarking Report, and Technical Assistance – total of 195 firms (65 firms per country).
- Control Group – Firms receiving the Benchmarking Report only – total of 195 firms (65 firms per country).
Intervention Start Date
2024-07-07
Intervention End Date
2024-12-31

Primary Outcomes

Primary Outcomes (end points)
Technology Adoption, Technology Usage, Firm Performance
Primary Outcomes (explanation)
Technology Adoption: Index from 1 to 5, is constructed at the firm level based on survey responses aligned with the World Bank Firm-level Technology Adoption Framework (FAT). Firms report the acquisition of 4-6 types of technologies across eight General Business Functions (GBF): administration, planning, sourcing, marketing, sales, payment methods, quality control, and internal communication.

Technology Usage: Index, also ranging from 1 to 5, is constructed at the firm level by identifying which adopted tools are most frequently utilized in business operations for each GBF. Additional measures of usage intensity, such as the frequency of technology use, the extent of usage among firm staff, and specific functionalities employed, will also be gathered from the survey. This survey data will be supplemented with administrative data from the technologies themselves.

Firm Performance: Financial Performance: Includes indicators such as revenue, employment, and productivity, derived from business register information. Non-Financial Performance: Encompasses factors such as exporter status, collaboration with large firms, and the development of new products or services, based on survey responses.

Secondary Outcomes

Secondary Outcomes (end points)
Digital Knowledge and Practices, Managerial Practices, Financial Preferences
Secondary Outcomes (explanation)
Digital Knowledge and Practices: Index created from answers to questions on topics including software update routines, data backup frequency, digital tool training, recent investments in digital technologies, methods of technology selection, and the use of technology integrators.

Managerial Practices: Index created from answers including including proactivity in addressing problems, performance monitoring, business management, people management, risk management, and change management.

Financial Preferences: Score from questions on financial decision-making preferences, specifically their choices between different digital technologies and their preferences for receiving money at different times.

Experimental Design

Experimental Design
The project aims to generate knowledge on the effectiveness of addressing non-financial challenges to enhance the productivity of MSMEs by improving their digital capabilities and managerial practices. By comparing both versions of the support, the study will provide insights into the effectiveness of assistance in overcoming informational constraints, improving managerial practices, and facilitating the effective use of digital technologies. This knowledge will be disseminated across EU Member States and the European Commission to inform further programs focusing on digital adoption and to create a scalable model for firm-level digital transformation.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer, using Stata software.
Randomization Unit
Individual Firm.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
585 Firms (195 Firms in each of three countries).
Sample size: planned number of observations
585 Firms.
Sample size (or number of clusters) by treatment arms
Treatment Arm 1: 195 Firms (65 Firms in each of three countries).

Treatment Arm 2: 195 Firms (65 Firms in each of three countries).

Control Group: 195 Firms (65 Firms in each of three countries).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Technology Adoption: - unit: GBF extensive index - MDE: 0.15 - SD: 0.19 - percentage: 5% Technology Usage: - unit: GBF intensive index - MDE: 0.15 - SD: 0.21 - percentage: 7% Firm performance - Employment - unit: ln Employment - MDE: 0.21 - SD: 0.23 - percentage: 15% Firm performance - Productivity - unit: ln Value added per Worker - MDE: 0.36 - SD: 0.35 - percentage: 27%
IRB

Institutional Review Boards (IRBs)

IRB Name
HML Institutional Review Board
IRB Approval Date
2024-06-25
IRB Approval Number
2611