For a small business trying to become more efficient and sustainable, buying the latest digital tool may not be enough. In this study, some tools strengthened a company’s technological ability—but others showed no independent link at all. Earlier research linked digital technologies with efficiency, value creation, innovation, and sustainability.

But much of that work examined technologies separately, treated them as interchangeable, or looked only at direct effects on performance. That leaves an important uncertainty for smaller firms with limited resources: artificial intelligence, connected devices, blockchain, and data analysis may not contribute equally to a firm’s ability to combine and reshape its technologies.

This study uses Dynamic Capabilities Theory, which complements the resource-based view by focusing specifically on how firms deploy and reconfigure resources under changing conditions. The pathway has three layers: technology-specific and organizational resources, the formation of technological capabilities and eco-innovation, and sustainable performance.

The study does not directly test the smaller processes of sensing change, taking action, and transforming the firm. The analysis compares several relationships at once, including indirect links between capabilities and performance. Because the sample was chosen deliberately, the results test theory-based associations within the observed group rather than providing probability-based generalization to every Saudi small or medium-sized business.

The study gathered responses from managers, senior executives, decision-makers, and experienced employees working across several industries in Saudi Arabia. The businesses were classified using Saudi small-business authority criteria based on organizational size and operational scale.

The respondent profile covered work experience, exposure to digital technologies, familiarity with eco-innovations, and the distribution of industries, indicating that the respondents were knowledgeable and experienced. Not all of the expected relationships were statistically significant.

Artificial intelligence had the strongest positive relationship with technological capabilities. Data-analytics capabilities also had a significant positive relationship with technological capabilities. The results suggest that automation, prediction, decision support, and data analysis contribute to broader technological capabilities in Saudi small and medium-sized businesses.

Seven of the nine hypotheses were supported. Artificial intelligence and data-analytics capabilities were linked with technological capabilities, while connected-device and blockchain capabilities were not. Digital, innovativeness, and management capabilities were linked with eco-innovation.

Both technological capabilities and eco-innovation were positively related to sustainable performance. The diagram makes the pathway visible: several organizational resources feed two capability routes, which then converge on the same sustainability outcome.

The study’s conclusions should be read with care: each business was represented by one respondent, which may introduce personal perception and common-method bias. Purposive sampling limits how broadly the findings can be applied to all Saudi small and medium-sized businesses, and the study could not assess bias from firms that did not participate.

The study also did not measure directly how the national institutional setting influenced the results. Future research should use more representative samples, multiple respondents, objective sources, and comparisons across countries and industries.

The main lesson is that digital change works through different paths: some tools build stronger technology use, while management and creativity help produce greener innovation. Both paths are linked with better sustainable performance.