Unlocking the road to entrepreneurial success: quality drivers and digital competence in cloud computing adoption

Why this matters for everyday business

Across the world, small and medium-sized businesses are under pressure to modernize without breaking the bank. Cloud computing promises big-company tools—online storage, smart apps, and powerful analytics—at a fraction of the traditional cost. Yet many business owners still hesitate. This study looks closely at why small and medium-sized enterprises (SMEs) in Pakistan choose to embrace or avoid the cloud, revealing which types of quality, rules, and digital skills actually tip the balance toward success.

The promise and the real-world roadblocks

Cloud technology can make smaller firms more agile, efficient, and innovative, especially in developing economies where capital and expertise are limited. But moving key business data and processes online raises serious concerns: Will the information be accurate and up to date? Will the service be reliable? Is the system secure—and what happens if it fails? On top of these worries, many countries are still shaping their data protection and cybersecurity rules, leaving entrepreneurs unsure about the legal risks of putting their business in the cloud.

What the researchers set out to uncover

The authors surveyed 367 managers from Pakistani SMEs across sectors such as textiles, chemicals, manufacturing, IT, and services. They examined three kinds of quality that shape cloud decisions: the quality of information (how accurate, complete, and useful the data is), the quality of service (how dependable and responsive the provider is), and the quality of the system itself (its speed, stability, and ease of use). They also looked at two human and institutional factors: regulatory support, meaning the strength and clarity of laws and policies around cloud use, and entrepreneurial digital competence, meaning managers’ ability to understand and work with digital tools. To capture both straightforward and more tangled relationships, they combined structural equation modelling, a standard statistics method, with artificial neural networks, a machine-learning approach.

What really drives cloud adoption

The study finds that information quality and service quality are the stars of the show. When managers believe their cloud provider will deliver accurate, reliable data and dependable, secure service, they are much more likely to adopt the cloud. In contrast, the technical feel of the system—its speed, uptime, and user interface—does not, on its own, strongly sway decisions. This is partly because many SMEs outsource technical details to outside vendors or consultants; owners judge the cloud more on whether it works for them day to day than on what happens under the hood. Most strikingly, strong regulatory support—clear laws, data protection rules, and enforcement—emerges as the single most important predictor of adoption in the machine-learning analysis, overshadowing even the quality measures.

The role of rules and digital skills

Regulation does more than simply encourage cloud use on its own; it also helps explain how quality perceptions translate into real decisions. Good information and reliable service strengthen trust in regulators and legal protections, and this, in turn, boosts willingness to adopt the cloud. However, rules do little to offset worries about system features like integration or interface design. Digital skills also play a nuanced part. On average, having a more digitally capable manager does not automatically make a firm more likely to use the cloud. But those skills amplify the positive impact of high-quality information and service: when entrepreneurs understand digital tools, they are better at spotting and using good cloud offerings. Their competence, however, does not significantly change how much system quality matters, likely because deeper technical issues are already delegated to IT specialists.

How the analysis sharpens the picture

By pairing traditional statistics with artificial neural networks, the researchers were able to move beyond simple, straight-line relationships. The neural network ranked the relative importance of each factor. Regulatory support came out on top, followed by information quality and service quality. System quality and managers’ digital skills still mattered but were clearly secondary. This ranking suggests that for many SMEs, trusting the wider digital environment—laws, enforcement, and institutional backing—is a precondition for trusting any particular cloud provider, no matter how slick the technology appears.

What this means for entrepreneurs and policymakers

For a lay reader, the takeaway is clear: successful cloud adoption is less about having the flashiest technology and more about trustworthy information, dependable service, and a solid rulebook. Small business owners should focus on providers that offer demonstrably accurate data and responsive support, while seeking training that helps them judge these qualities for themselves. Policymakers, meanwhile, can unlock much broader digital transformation by tightening data protection laws, clarifying responsibilities, and communicating these rules clearly to firms. When businesses know that both their data and their rights are protected, they are far more willing to step into the cloud.

Citation: Wu, C., Mehta, A.M., Li, Z. et al. Unlocking the road to entrepreneurial success: quality drivers and digital competence in cloud computing adoption. Sci Rep 16, 12418 (2026). https://doi.org/10.1038/s41598-026-41143-9

Keywords: cloud computing adoption, small and medium enterprises, regulatory support, service and information quality, digital skills