AI and Big Data Drive Sustainable Success in Saudi Small Businesses, Study Finds

For small and medium-sized enterprises everywhere, the pitch has been relentless for a decade: adopt the newest technology and the benefits will follow. Sensors, distributed ledgers, machine learning, analytics platforms — buy them all, the argument goes, and efficiency, resilience, and sustainability will arrive as a package deal. A new study from Saudi Arabia suggests that this logic is, at best, half right. After surveying 280 SME decision-makers and modeling their responses with structural equation analysis, a research team led by Wafa Naif Alwakid of Jouf University found that only some advanced technologies actually build the organizational muscle that leads to sustainable performance — and the two most hyped technologies of the past decade, the Internet of Things and blockchain, were not among them.

The research, published in the journal Discover Artificial Intelligence, draws on two foundational ideas from strategic management. The first is the Resource-Based View, which holds that firms win when they control resources that are valuable, rare, hard to imitate, and difficult to substitute. The second is Dynamic Capabilities Theory, which adds a crucial caveat: owning resources is not enough. Firms must be able to integrate, coordinate, and reconfigure those resources as conditions change. Together, these frameworks let the researchers ask a sharper question than the usual “does digitalization help?” Instead, they asked which specific technologies actually contribute to a firm-wide capacity for technological integration — and which organizational traits enable environmentally oriented innovation.

The study split the answer into two parallel pathways. The first pathway connected four technology-specific resources — Internet of Things, blockchain, artificial intelligence, and big data analytics capabilities — to a higher-order construct the researchers call Technological Capabilities: the realized, firm-wide ability to deploy, configure, and reconfigure multiple technologies across business processes. The second pathway connected three organizational capabilities — Digital Capabilities, Innovativeness Capabilities, and Management Capabilities — to Eco-Innovation, meaning new or modified products, processes, and practices that reduce environmental impact. Both Technological Capabilities and Eco-Innovation were then tested as routes to Sustainable Performance, a composite measure spanning economic, operational, environmental, social, and competitive outcomes.

The results were strikingly lopsided. Artificial Intelligence capabilities showed by far the strongest relationship with Technological Capabilities, with a standardized path coefficient of 0.609 and an effect size classified as large. Firms that could apply machine learning to forecasting, planning, risk assessment, and decision support were dramatically more likely to report a genuine, integrated technological capability across the whole organization. Big Data Analytical Capabilities also contributed significantly, though with a much smaller effect. But IoT capabilities showed a small, statistically nonsignificant negative association, and blockchain capabilities were similarly insignificant. In plain terms: owning sensors and ledgers did not translate into the broader organizational ability to integrate and adapt technology.

The researchers are careful about what this does and does not mean. The study does not claim that IoT or blockchain are useless for small firms. IoT can deliver real-time monitoring and process control, and blockchain can provide traceability and trusted information exchange — but both technologies typically demand complementary conditions that many SMEs lack: interoperable infrastructure, cybersecurity arrangements, technical skills, and, in blockchain’s case, participation from suppliers, customers, and regulators across an entire network. A small firm can bolt a blockchain application onto one workflow without ever developing the integration routines that define firm-wide technological capability. The finding, the authors stress, is that these technologies did not independently explain Technological Capabilities in the estimated model — not that they have no potential value.

The second pathway told a more cooperative story. All three organizational capabilities predicted Eco-Innovation significantly. Innovativeness Capabilities — the willingness to experiment, generate new ideas, and introduce new products and processes — were the strongest driver, followed by Management Capabilities, which capture leadership support, coordination, and resource allocation, and then Digital Capabilities, reflecting infrastructure, employee skills, and integration routines. Sustainability-oriented innovation, in other words, is not primarily a hardware problem. It emerges when a firm has a culture of experimentation, managers willing to commit resources, and enough digital readiness to monitor resources, optimize processes, and reduce waste.

When both pathways converged on the outcome, Technological Capabilities proved the stronger route to Sustainable Performance, with a path coefficient of 0.517 and a large effect size, while Eco-Innovation contributed significantly but more modestly. The indirect-effects analysis sharpened the picture further: AI capabilities were associated with sustainable performance primarily through their role in building Technological Capabilities, and big data analytics worked through the same channel. On the organizational side, innovativeness and management capabilities contributed to sustainable performance through eco-innovation. Notably, the indirect path from Digital Capabilities through eco-innovation fell just short of conventional significance, hinting that digital readiness alone — without an innovation culture or managerial commitment — may not be enough to produce measurable sustainability gains.

The methodology behind these numbers deserves attention. Data were collected between November 2025 and May 2026 from owners, managers, and senior executives across manufacturing, logistics, technology services, retail, and related sectors, with firms identified using the classification criteria of Saudi Arabia’s SME authority, Monsha’at. The respondents were well positioned to answer: 85.7 percent were managers or senior executives, 81.5 percent had more than five years of experience, and over 80 percent reported moderate-to-high exposure to digital technologies. The survey instrument contained 43 indicators across ten constructs, adapted from established scales and reworded to describe actual organizational practice rather than attitudes. All constructs passed standard reliability and validity checks, and common-method bias was assessed and found to be within acceptable limits — though the authors acknowledge that a single-informant, cross-sectional design remains a limitation, since associations cannot establish what came first, the technology or the capability.

The context matters too. Saudi Arabia’s Vision 2030 agenda has poured institutional support into digital infrastructure, artificial intelligence, and sustainability-oriented transformation, making the kingdom a natural laboratory for studying whether policy-driven technology adoption actually converts into firm-level results. The answer from this sample is nuanced: the policy environment may open doors, but conversion still depends on what happens inside the firm. SMEs continue to face implementation costs, skills shortages, cybersecurity concerns, and uneven technological maturity — and the study suggests these frictions explain why some technologies build capability while others sit as isolated pilots.

For managers, the practical message is a corrective to technology FOMO. Rather than adopting every emerging tool, the authors argue, SMEs should match digital investments to their implementation capacity: AI and analytics initiatives should be backed by employee training, data-quality procedures, and integration with existing processes; IoT investments need infrastructure and interoperability planning; blockchain efforts may only pay off through collaboration with supply-chain partners. And sustainability programs need more than software — they need experimentation, leadership commitment, and cross-functional coordination. The study’s deeper contribution is conceptual: it separates technology adoption from capability formation, and shows that the two can diverge sharply. In the race to digitize, the firms that win sustainably are not the ones with the most technology, but the ones that can actually reconfigure what they own.

Subject of Research: How digital and organizational capabilities drive sustainable performance in Saudi SMEs

Article Title: Digital capabilities relate to sustainable performance in Saudi SMEs through technological capabilities and eco innovation

Article References: Alwakid, W. N., Dahri, N. A., Humayun, M., & Alwakid, G. N. (2026). Digital capabilities relate to sustainable performance in Saudi SMEs through technological capabilities and eco innovation. Discover Artificial Intelligence, 6(1), Article 1532. https://doi.org/10.1007/s44163-026-02505-4

Image Credits: AI Generated

DOI: 10.1007/s44163-026-02505-4

Keywords: SMEs, artificial intelligence, big data analytics, Internet of Things, blockchain, eco-innovation, sustainable performance, technological capabilities, Saudi Arabia, digital transformation, resource-based view, dynamic capabilities