The conventional wisdom about small and medium enterprises in developing countries sounds reasonable enough: build more fiber optic cables, expand mobile coverage, launch digital literacy campaigns, and eventually SMEs will adopt technology.
I’ve watched this supply-side playbook unfold across sub-Saharan Africa for years, with mixed results at best. But new research from Ethiopia’s Amhara region reveals fundamental flaws that should force us to completely rethink how we support SME digitization.
The truth is more complex than our infrastructure-first assumptions suggest. SMEs in low and middle-income countries aren’t resistant to technology. They’re constrained by ecosystem failures that no amount of additional fiber optic cable can solve.
Subscribe Now to see more digital development research
Evidence from Ethiopia, Bangladesh, and India demonstrates that when properly designed demand-side interventions address these ecosystem failures, SME technology adoption accelerates dramatically.
High SME Adoption, Universal SME Barriers
A comprehensive study of 44 registered SMEs in Bahir Dar and Gondar cities uncovered something remarkable:
- 93% of surveyed enterprises use multiple ICT tools including computers, internet, mobile phones, and cash registers.
- 82% leverage these tools across diverse business functions including financial reporting, transaction processing, and customer engagement.
- 87% agreed that ICT infrastructure improves SME performance,
- 100% acknowledged that deep ICT understanding drives sustainable economic development.
These aren’t technology-resistant traditionalists clinging to pen-and-paper bookkeeping. They’re digitally sophisticated businesses that recognize technology’s transformative potential.
Yet here’s the paradox. Every single respondent (100%) identified the same six systemic barriers constraining their digital transformation:
- High telecommunications costs
- Poor communication infrastructure
- Technological illiteracy
- Lack of qualified staff
- Use of outdated systems
- Absence of state support
This pattern isn’t unique to Ethiopia. It reflects ecosystem failures that demand-side policy interventions can address more effectively than continued supply-side expansion.
Bangladesh Demand-Side FinTech Revolution
Bangladesh’s transformation from cash-dependent to digitally-enabled economy illustrates how targeted demand-side interventions succeed where infrastructure expansion alone fails.
The government’s decision to distribute cash assistance to five million vulnerable poor families hit by the coronavirus pandemic through four major mobile financial services operators demonstrated that when ecosystem conditions align properly, SMEs rapidly adopt digital solutions.
The key insight is that policymakers addressed demand-side constraints systematically. Bangladesh Bank’s policy supports for inclusive and sustainable financing included massive up-gradation of the payment system and the financial sector IT infrastructure enabling the advent and rapid growth of cost-efficient off-branch online/mobile phone/smart card-based financial service delivery.
This comprehensive approach yielded remarkable results. Research on SME entrepreneurs found that performance expectancy, facilitating conditions, and hedonic motivation directly impact entrepreneurs’ satisfaction, which, in turn, influences their intention to continue using digital financial technologies.
The difference was ecosystem design that addressed user needs, regulatory frameworks, and institutional support simultaneously.
Government-Led Demand-Side Innovation
India’s Unified Payments Interface represents perhaps the most compelling evidence for demand-side policy intervention effectiveness. From processing minimal transactions in 2016 to more than 13 billion transactions per month as of March 2024, UPI now accounts for 82% of the volume of total digital payments in India.
The success wasn’t driven by superior infrastructure compared to other emerging markets. India’s mobile internet penetration and smartphone access lagged many countries when UPI launched. Instead, strategic government intervention addressed ecosystem barriers that constrained SME adoption.
Government policy eliminated cost barriers by waiving merchant discount rate charges on UPI transactions for merchants with annual turnover of up to ₹500 million ($6 million), while digital payment providers introduced a variety of zero-fee payment options.
This targeted intervention addressed the financing constraints that Ethiopian SMEs identified as universal barriers.
The results demonstrate demand-side intervention effectiveness at scale. Economic analysis shows a 1 percent increase in UPI transaction volume strongly correlates with a 0.03 percent increase in GDP growth, highlighting UPI’s role in economic expansion.
For SMEs specifically, research found that a 10% increase in UPI transactions resulted in a 7% increase in credit availability while loans to new credit borrowers have increased by 4%, while loans to subprime borrowers have increased by 8%.
M-Pesa: Early Demand-Side Pioneer
While not focused on SMEs specifically, Kenya’s M-Pesa provides additional evidence for demand-side intervention effectiveness.
The mobile money platform succeeded not because Kenya had superior telecommunications infrastructure, but because regulatory decisions created enabling conditions for financial innovation while traditional banking served primarily urban, affluent customers.
The ecosystem approach of combining regulatory sandbox policies, agent network development, and simplified know-your-customer processes, enabled rapid adoption by previously excluded populations, including small businesses. This contrasts sharply with purely supply-side infrastructure expansion that assumes usage will follow access.
The Demand-Side Policy Window
The Ethiopian data reveals a rare policy opportunity that challenges prevailing ICT4D orthodoxy.
Traditional supply-side interventions like expanding broadband access, reducing device costs, building digital infrastructure, address important but insufficient conditions for SME technology adoption.
Systematic reviews of technology adoption interventions demonstrate that some interventions lead to an increase in technology adoption among firms across manufacturing, services, and agriculture sectors, but these effects are context-specific, as well as intervention-specific.
The most effective interventions combine direct financial support with targeted capability building rather than generic infrastructure expansion.
This insight should fundamentally reshape how we approach digital development. Recent ICTworks analysis of universal internet adoption confirms that most innovators, particularly smaller actors, struggle to navigate regulatory, technical, and financial challenges on their own, as well as to understand and foster the demand-side drivers needed to drive low income end user adoption.
Ecosystem Failures vs. Technology Resistance
The distinction between supply and demand-side interventions matters enormously for policy design.
Research across developing countries confirms that SMEs in developing countries exhibit less enthusiasm for implementing ICT compared to large companies due to financial limitations and organizational and managerial preparedness while the main factors affecting SMEs’ emerging technology adoption are lack of finance and digital literacy.
These are systematic market failures that require targeted interventions.
Ethiopian SMEs exemplify this dynamic. Despite near-universal ICT adoption, enterprises remain constrained by what development economists recognize as classic coordination problems: individual businesses cannot unilaterally solve telecommunications pricing, infrastructure reliability, or skills shortages that require collective action.
Systematic analysis of African SME constraints identifies lack of access to finance, poor infrastructure, and entrepreneurial attitudes are main challenges facing SMEs in sub-Saharan Africa while access to finance remains the largest obstacle for enterprises in the region.
But framing these as individual business shortcomings misses the broader ecosystem dynamics that successful interventions in Bangladesh and India addressed systematically.
Four Demand-Side Interventions That Work
Based on the Ethiopian evidence and comparative international experience, four demand-side interventions offer immediate impact:
1. Professional advisory services at scale.
Rather than generic training programs, establish SME-focused ICT advisory centers offering free professional consulting, tool selection guidance, and implementation support.
The Ethiopian study confirms that while 93% use technology, utilization remains suboptimal due to capability gaps rather than access constraints. Bangladesh’s success stemmed partly from consultatively drawn-up regulatory frameworks and guidelines that provided SMEs with clear implementation pathways.
2. Targeted financial instruments.
Research on SME financial inclusion demonstrates that financial inclusion of SMEs is mainly determined by demand-side factors (ability to manage economic changes, proper record keeping, and willingness to expand the business), supply-side factors (collateral requirements and application procedure), institutional factors.
India’s zero-fee UPI transactions addressed financing constraints directly, while Bangladesh’s mobile financial services created new credit pathways for previously excluded businesses.
3. Coordinated government policy integration.
Ethiopian enterprises identified absence of state support as a universal constraint, while Indian and Bangladeshi success required coordination across multiple ministries and regulatory agencies.
Analysis of national digital ecosystems confirms that effective digital transformation requires enhanced telecommunications infrastructure for sustainable digital growth combined with policy coordination that addresses digital literacy and lack of content in local languages as systemic barriers.
4. Localized technology solutions.
The Ethiopian study’s finding that 32% still consider ICT complex and difficult to use points to design failures rather than user limitations.
Supporting development of local-language interfaces, offline functionality, and low-bandwidth solutions addresses utilization constraints that infrastructure expansion cannot solve.
