Short answer

When designing FinTech solutions for MSMEs, differentiate your approach based on whether the target users are in rural or urban environments, focusing on infrastructure and support for rural users and usability for urban users.

Field: Sustainability
Source: Risks (2026)
Method: Quantitative research using an extended technology acceptance model.
Sample: 632 MSMEs (377 rural, 255 urban)
Evidence: Strong effect

The primary drivers for FinTech adoption differ significantly between rural and urban Micro, Small, and Medium Enterprises (MSMEs), with rural businesses prioritizing accessible resources and infrastructure, while urban businesses focus more on ease of use. This sustainability research insight is drawn from a 2026 study published in Risks. Using Quantitative research using an extended technology acceptance model. with 632 MSMEs (377 rural, 255 urban), researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing FinTech solutions for MSMEs, differentiate your approach based on whether the target users are in rural or urban environments, focusing on infrastructure and support for rural users and usability for urban users.

Study

SustainabilityNew This WeekStrong effect

Facilitating Conditions Drive FinTech Adoption in Rural MSMEs, Effort Expectancy in Urban MSMEs

Risks · 2026

Key Findings

01Facilitating conditions are the most influential determinant of FinTech adoption for rural MSMEs.
02Effort expectancy is the dominant factor for FinTech adoption among urban MSMEs.
03FinTech adoption positively impacts both continuance intention and financial inclusion for both rural and urban MSMEs.

Application

Design takeaway

How to apply

When developing a new FinTech product or service for MSMEs, conduct user research to understand the specific environmental and usability needs of your target rural or urban demographic before finalizing the design and go-to-market strategy.

Project actions

01When researching user needs, consider the geographical location of your target users.
02Investigate how external factors like infrastructure and support systems influence technology adoption.

Method & Evidence

AimWhat are the key determinants of FinTech adoption for MSMEs in urban and rural settings, and how do these differ?

MethodQuantitative research using an extended technology acceptance model.

ProcedureA survey was administered to 632 MSMEs in South Sumatra, Indonesia. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), Multi-Group Analysis (MGA), and Importance-Performance Map Analysis (IPMA) to identify adoption drivers and compare urban and rural groups.

Sample632 MSMEs (377 rural, 255 urban)

ContextMicro, Small, and Medium Enterprises (MSMEs) in South Sumatra, Indonesia, focusing on FinTech adoption for financial inclusion and sustainability.

Variables

IV["Facilitating Conditions","Effort Expectancy","Performance Expectancy","Social Influence","Digital Financial Literacy","AI Literacy","Perceived Green Finance","Green Self-Identity"]

DV["FinTech Adoption","FinTech Continuance Intention","Financial Inclusion"]

CV["MSME type (Micro, Small, Medium)","Industry sector","Years in operation","Demographics of owner/manager"]

Strengths & Limitations

Strengths

+Utilizes a robust theoretical framework (extended UTAUT).
+Employs advanced statistical methods (PLS-SEM, MGA, IPMA) for in-depth analysis.
+Includes a substantial sample size and considers both urban and rural contexts.

Limitations

The findings are specific to the region studied and may not apply universally. The study relies on self-reported data, which can be subject to bias.

Reliability & validity

The study's reliability is supported by the use of established scales within the UTAUT framework and a large sample size. Validity is enhanced by the multi-group analysis comparing urban and rural MSMEs and the use of IPMA to assess the relative importance and performance of different drivers.

Think critically

How might the 'green finance' and 'AI literacy' components of the extended UTAUT model interact with 'facilitating conditions' and 'effort expectancy' to further differentiate adoption drivers across rural and urban MSMEs?

Design Principles

"Contextualize technology adoption strategies by identifying and addressing the unique barriers and motivators present in different user environments."

Understanding these distinct adoption drivers is crucial for designing targeted FinTech solutions and support programs that effectively promote financial inclusion and sustainable economic development across diverse geographical contexts. Tailoring interventions to specific needs can accelerate digital financial sustainability.

What This Means for Your Design

Different groups of businesses need different things to start using new financial technology. Rural businesses need help with things like internet and training, while city businesses care more about how easy the technology is to use.

How to use in your project

1.Use this research to justify focusing on specific user groups and their unique needs in your design project.
2.Cite this study when discussing the importance of context-specific design solutions for technology adoption.

Add to My Project

Quick Cite

Paragraph starter

This research highlights that the drivers for FinTech adoption vary significantly between rural and urban MSMEs. While rural businesses are primarily influenced by facilitating conditions such as infrastructure and support, urban businesses are more motivated by effort expectancy, or the ease of use. This suggests that design strategies for financial technology must be context-aware, addressing the unique needs of each demographic to foster broader financial inclusion and digital sustainability.

Source

Risks

Understanding FinTech Adoption Drivers for Digital Financial Sustainability in Urban and Rural MSMEs

journal · 2026

View source

Questions About This Research

What does the research say about facilitating conditions drive fintech adoption in rural msmes, effort expectancy in urban msmes?: When designing FinTech solutions for MSMEs, differentiate your approach based on whether the target users are in rural or urban environments, focusing on infrastructure and support for rural users and usability for urban users. Evidence: Risks (2026).
Why does "Facilitating Conditions Drive FinTech Adoption in Rural MSMEs, Effort Expectancy in Urban MSMEs" matter for design?: Understanding these distinct adoption drivers is crucial for designing targeted FinTech solutions and support programs that effectively promote financial inclusion and sustainable economic development across diverse geographical contexts. Tailoring interventions to specific needs can accelerate digital financial sustainability.
How can designers apply this research?: When designing FinTech solutions for MSMEs, differentiate your approach based on whether the target users are in rural or urban environments, focusing on infrastructure and support for rural users and usability for urban users.
What were the main findings?: Facilitating conditions are the most influential determinant of FinTech adoption for rural MSMEs.. Effort expectancy is the dominant factor for FinTech adoption among urban MSMEs.. FinTech adoption positively impacts both continuance intention and financial inclusion for both rural and urban MSMEs.
What research method was used?: Quantitative research using an extended technology acceptance model. with 632 MSMEs (377 rural, 255 urban).
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2026 journal from Risks.
What should I do differently in my next project?: When developing a new FinTech product or service for MSMEs, conduct user research to understand the specific environmental and usability needs of your target rural or urban demographic before finalizing the design and go-to-market strategy.
What are the limitations?: The study is specific to South Sumatra, Indonesia, and may not be generalizable to all regions or countries. The extended UTAUT model, while comprehensive, may not capture all potential adoption factors.