What Is Technology?

Technology is the body of knowledge, tools, techniques, and systems that humans develop and employ to extend their physical and cognitive capabilities, transform natural resources, and solve practical problems. It includes physical artifacts such as machines, instruments, and software, along with the organizational methods, design practices, and bodies of know-how that make those artifacts useful. Technology is simultaneously the product of scientific understanding and a driver of new scientific inquiry, creating a feedback relationship that has accelerated the pace of capability development since the Industrial Revolution.

The scope of the term ranges from prehistoric stone-knapping to contemporary quantum computing, which reveals that technology is defined by its functional role rather than by any particular material or era. What distinguishes a technology from a simple tool is the embeddedness of systematic knowledge: a technology encodes understanding of cause and effect in a form that can be taught, replicated, and refined across generations and communities.

Innovation and Entrepreneurship

Technology innovation is the process of translating new technical knowledge or capabilities into products, services, or processes that create economic or social value. The linear model of innovation, which held that basic research leads sequentially to applied research and then to commercial products, has been largely supplanted by more interactive models that recognize feedback among research, development, deployment, and market learning. Entrepreneurship plays a central role in this ecosystem by organizing the risk capital, talent, and organizational energy needed to bring novel technologies to market. Research on innovation ecosystems published through NIST examines how national innovation systems can be structured to accelerate translation from discovery to deployment.

Disruptive Technologies

Disruptive technologies are innovations that initially perform worse than established alternatives on attributes that mainstream customers value, but that excel on different attributes and eventually redefine the competitive basis of an industry. The concept, developed by Clayton Christensen, has been applied across sectors from disk drives and steel minimills to cloud computing and electric vehicles. Identifying disruption in progress is difficult because the early signals are often found in non-mainstream markets that incumbents rationally choose to ignore. Empirical research on technology diffusion and disruption uses patent citation networks and market data to characterize the structural signatures of disruptive technology emergence.

Technology Forecasting

Technology forecasting applies systematic methods to project the direction, timing, and magnitude of technological change. Techniques range from extrapolation of historical performance trends (such as Moore's Law for transistor density) to expert elicitation methods like Delphi surveys, to bibliometric analysis of scientific publication and patent activity. Forecasts inform corporate strategy, public policy, and standards development by giving decision-makers structured views of how technical capabilities are likely to evolve. The difficulty of predicting breakthrough innovations means that scenario-based methods, which describe multiple plausible futures rather than a single point forecast, are often more useful than deterministic projections.

Appropriate Technology and Economic Impact

The concept of appropriate technology, developed in the 1970s by economists including E.F. Schumacher, argues that technology choices should match the scale, skills, and resource endowments of the communities that will use and maintain them. High-capital, high-complexity technologies transferred to low-income settings often underperform because they lack the supporting infrastructure, trained operators, and maintenance supply chains they require. Research on technology transfer and appropriate technology in development contexts examines how technology selection criteria shift when adoption context and user capability are treated as design parameters rather than afterthoughts.

Applications

• Energy technology development and deployment for decarbonization of electricity, transport, and industry
• Medical technology innovation for diagnostics, therapeutics, and care delivery
• Agricultural technology for yield improvement and sustainable resource use
• Information and communication technology for education and economic inclusion
• Manufacturing technology for productivity and quality improvement in production systems
• Environmental monitoring and remediation technology for pollution control and ecosystem management