Pro-innovation bias

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

Example

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. (2014). "The International Rate of Discontinuance of Some Old Products". Journal of Global Marketing. Vol. 27, no. 2. pp. 59–73. doi:10.1080/08911762.2013.850142.{{cite news}}: CS1 maint: multiple names: authors list (link)
^ "Beyond the pro-innovation bias". January 26, 2010. Archived from the original on July 22, 2011. Retrieved April 17, 2011.{{cite web}}: CS1 maint: bot: original URL status unknown (link)
^ 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.

v t e Biases
Cognitive biases	Acquiescence Ambiguity Affinity Anchoring Attentional Attribution Actor–observer Correspondence Authority Automation Availability Mean world Belief Blind spot Choice-supportive Commitment Confirmation Selective perception Compassion fade Congruence Cultural Declinism Distinction Dunning–Kruger Egocentric Curse of knowledge Emotional Extrinsic incentives Fading affect Framing Frequency Frog pond effect Halo effect Hindsight Horn effect Hostile attribution Impact Implicit In-group Intentionality Illusion of transparency Mean world syndrome Mere-exposure effect Narrative Negativity Normalcy Omission Optimism Out-group homogeneity Outcome Overton window Precision Present Pro-innovation Proximity Response Restraint Self-serving Social comparison Social influence bias Spotlight Status quo Substitution Time-saving Trait ascription Turkey illusion von Restorff effect Zero-risk In animals
Statistical biases	Estimator Forecast Healthy user Information Psychological Lead time Length time Non-response Observer Omitted-variable Participation Recall Sampling Selection Self-selection Social desirability Spectrum Survivorship Systematic error Systemic Verification Wet
Other biases	Academic Basking in reflected glory Déformation professionnelle Funding FUTON Inductive Infrastructure Inherent In education Liking gap Media False balance Vietnam War Norway South Asia Sweden United States Arab–Israeli conflict Ukraine Net Political bias Publication Reporting White hat
Bias reduction	Cognitive bias mitigation Debiasing Heuristics in judgment and decision-making
Lists: General Memory

Pro-innovation bias

Example

See also

References

Further reading