Pro-innovation bias

In diffusion of innovation theory, a pro-innovation bias is the belief that an innovation should be adopted by whole society without the need of its alteration.^[1]^[2] The innovation's "champion" has such strong bias in favor of the innovation, that he/she may not see its limitations or weaknesses and continues to promote it nonetheless.^[3]

Example

Main article: Atomic Age

A feeling of nuclear optimism emerged in the 1950s in which it was believed that all power generators in the future would be atomic in nature. The atomic bomb would render all conventional explosives obsolete and nuclear power plants would do the same for power sources such as coal and oil. There was a general feeling that everything would use a nuclear power source of some sort, in a positive and productive way, from irradiating food to preserve it, to the development of nuclear medicine. There would be an age of peace and plenty in which atomic energy would "provide the power needed to desalinate water for the thirsty, irrigate the deserts for the hungry, and fuel interstellar travel deep into outer space".^[4] This use would render the Atomic Age as significant a step in technological progress as the first smelting of Bronze, of Iron, or the commencement of the Industrial Revolution.

Roger Smith, then chairman of General Motors, said in 1986: "By the turn of the century, we will live in a paperless society."^[5] In the late 20th century, there were many predictions of this kind.^[6] This transformation has so far not taken place.

References

↑ Everett M. Rogers (6 July 2010). Diffusion of Innovations, 4th Edition. Free Press. p. 100. ISBN 978-1-4516-0247-0.
↑ Palacios Fenech,J. and Longford,N.T. "The International Rate of Discontinuance of Some Old Products". Journal of Global Marketing, Volume 27, Issue 2, 2014, pages 59-73.
↑ "Beyond the pro-innovation bias". January 26, 2010. Retrieved April 17, 2011.
↑ Benjamin K. Sovacool (2011). Contesting the Future of Nuclear Power: A Critical Global Assessment of Atomic Energy, World Scientific, p. 259.
↑ Howard F. Didsbury, Jr.; Howard F. Didsbury (2004). Thinking Creatively in Turbulent Times. World Future Society. p. 41. ISBN 978-0-930242-59-6.
↑ Edward R. Dougherty (1 January 1999). Electronic Imaging Technology. SPIE Press. p. 289. ISBN 978-0-8194-3037-3.

Biases

Lists of biases	General Memory

Cognitive biases	Acquiescence Anchoring Attentional Attribution Authority Automation Belief Blind spot Choice-supportive Confirmation Congruence Cultural Distinction Egocentric Emotional Extrinsic incentives Fading affect Correspondence Halo effect Hindsight Hostile attribution Impact In-group Negativity Normalcy Optimism Outcome Precision Pro-innovation Response Restraint Self-serving Social comparison Status quo Time-saving Trait ascription Zero-risk In animals

Statistical biases	Estimator Forecast Healthy user Information Lead time Length time Non-response Omitted-variable Participation Recall Sampling Selection Self-selection Social desirability Spectrum Survivorship Systematic error Systemic Verification Wet

Other biases	Academic Exponent Funding FUTON Inductive Infrastructure Inherent in education Media Net Publication Reporting White hat

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Pro-innovation bias

Example

See also

References

Further reading