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Technological change (TC) is a term that is used to describe the overall process of invention, innovation and diffusion of technology or processes. The term is synonymous with technological development, technological achievement, and technological progress. In essence technological change is the invention of technologies (including processes) and their commercialization via research and development (producing emerging technologies), the continual improvement of technologies (in which they often become less expensive), and the diffusion of technologies throughout industry or society (which sometimes involves disruption and convergence). In short, technological change is based on both better and more technology.
|History of technology|
|By technological eras|
|By historical regions|
|By type of technology|
Modeling technological change
In its earlier days, technological change was illustrated with the 'Linear Model of Innovation', which has now been largely discarded to be replaced with a model of technological change that involves innovation at all stages of research, development, diffusion and use. When spoken about "modeling technological change" often the process of innovation is meant. This process of continuous improvement is often modeled as a curve depicting decreasing costs over time (for instance fuel cell which have become cheaper every year).
- TC is often modelled using a learning curve, ex.: Ct=C0 * Xt^-b
- TC itself is often included in other models (for instance climate change models) and was often taken as an exogenous factor. These days TC is more often included as an endogenous factor. This means that it is taken as something you can influence. It is generally accepted[by whom?] that policy can influence the speed and direction of TC (for instance more towards clean technologies). This is referred to as Induced Technological Change.
The spread of a technology through a society or industry. The diffusion of a technology generally follows an S-shaped curve as early versions of technology are rather unsuccessful, followed by a period of successful innovation with high levels of adoption, and finally a dropping off in adoption as a technology reaches its maximum potential in a market. In the case of a personal computer, it has made way beyond homes and into business settings, such as office workstations and server machines to host websites.
For mathematical treatment of diffusion see: Logistic function
For examples of diffusion of technologies see: Diffusion of innovations#International Institute for Applied Systems Analysis (IIASA)
Underpinning the idea of technological change as a social process is general agreement on the importance of social context and communication. According to this model, technological change is seen as a social process involving producers and adopters and others (such as government) who are profoundly affected by cultural setting, political institutions and marketing strategies.
In free market economies, the maximization of profits is a powerful driver of technological change. Generally, only those technologies are developed and reach the market that promise to maximize profits for the owners of incoming producing capital. Any technologies that fail to meet this criterion even though they may satisfy very important societal needs, are not developed. Therefore, technological change is a social process strongly biased by the financial interests of capital. There are currently no well established democratic processes, such as voting on the social or environmental desirability of a new technology prior to development and marketing, that would allow average citizens to direct the course of technological change.
Elements of diffusion
Emphasis has been on four key elements of the technological change process: (1) an innovative technology (2) communicated through certain channels (3) to members of a social system (4) who adopt it over a period of time. These elements are derived from Everett M. Rogers Diffusion of innovations theory using a communications-type approach.
Rogers proposes that there are five main attributes of innovative technologies which influence acceptance, which he calls the ACCTO criteria. These are relative Advantage, Compatibility, Complexity, Trialability, and Observability. Relative advantage may be economic or non-economic, and is the degree to which an innovation is seen as superior to prior innovations fulfilling the same needs. It is positively related to acceptance (i.e., the higher the relative advantage, the higher the adoption level, and vice versa). Compatibility is the degree to which an innovation appears consistent with existing values, past experiences, habits and needs to the potential adopter; a low level of compatibility will slow acceptance. Complexity is the degree to which an innovation appears difficult to understand and use; the more complex an innovation, the slower its acceptance. Trialability is the perceived degree to which an innovation may be tried on a limited basis, and is positively related to acceptance. Trialability can accelerate acceptance because small-scale testing reduces risk. Observability is the perceived degree to which results of innovating are visible to others and is positively related to acceptance.
Communication channels are the means by which a source conveys a message to a receiver. Information may be exchanged through two fundamentally different, yet complementary, channels of communication. Awareness is more often obtained through the mass media, while uncertainty reduction that leads to acceptance mostly results from face-to-face communication.
The social system provides a medium through which and boundaries within which, innovation is adopted. The structure of the social system affects technological change in several ways. Social norms, opinion leaders, change agents, government and the consequences of innovations are all involved. Also involved are cultural setting, nature of political institutions, laws, policies and administrative structures.
Time enters into the acceptance process in many ways. The time dimension relates to the innovativeness of an individual or other adopter, which is the relative earlyness or lateness with which an innovation is adopted.
Neutral technological change refers to the behaviour of technological change in models. A technological innovation is Hicks neutral, following John Hicks (1932), if a change in technology does not change the ratio of capital's marginal product to labour's marginal product for a given capital to labour ratio. A technological innovation is Harrod neutral (following Roy Harrod) if the technology is labour-augmenting (i.e. helps labor); it is Solow neutral if the technology is capital-augmenting (i.e. helps capital).
- Accelerating change
- Investment specific technological progress
- Productivity improving technologies (historical)
- Second industrial revolution
- Technical change
- Technical progress function
- Technological innovation system
- Technological revolution
- Technological transitions
- Technological unemployment
- Theories of technology
- Derived from Jaffe et al. (2002) Environmental Policy and technological Change and Schumpeter (1942) Capitalism, Socialisme and Democracy by Joost.vp on 26 August 2008
- From The New Palgrave Dictionary of Economics, 2nd ed. (2008) with abstract link:
• "technical change" by S. Metcalfe.
• "biased and unbiased technological change" by Peter L. Rousseau.
• "skill-biased technical change" by Giovanni L. Violante.
- Huesemann, Michael H., and Joyce A. Huesemann (2011). Technofix: Why Technology Won’t Save Us or the Environment, Chapter 11, "Profit Motive: The Main Driver of Technological Development", New Society Publishers, Gabriola Island, Canada, ISBN 0865717044
- J. R. Hicks (1932, 2nd ed., 1963). The Theory of Wages, Ch. VI, Appendix, and Section III. Macmillan.
- Jones, Charles I. (1997). Introduction to Economic Growth. W. W. Norton. ISBN 0-393-97174-0
- Kuhn, Thomas Samuel (1996). The Structure of Scientific Revolutions, 3rd edition. University of Chicago Press. ISBN 0-226-45808-3
- Mansfield, Edwin (2003). Microeconomic Theory and Applications, 11th edition. W. W. Norton ISBN 0-393-97918-0
- Rogers, Everett (2003). Diffusion of Innovations, 5th edition, Free Press. ISBN 0-7432-2209-1
- Green, L (2001). Technoculture, Allen and Unwin, Crows Nest, pp. 1–20.
- Danna, W. (2007). "They Had a Satellite and They Knew How to Use It", American Journalism[clarification needed], Spring, Vol. 24 Issue 2, pp. 87–110. Online source: abstract and excerpt.
- Dickey, Colin (January 2015), A fault in our design. "Perhaps a brighter technological future lies less in the latest gadgets, and rather in learning to understand ourselves better, particularly our capacity to forget what we’ve already learned. The future of technology is nothing without a long view of the past, and a means to embody history’s mistakes and lessons." Aeon
- Hanlon, Michael (December 2014), The golden quarter. "Some of our greatest cultural and technological achievements took place between 1945 and 1971. Why has progress stalled?" Aeon