Radical innovations as drivers of breakthroughs: characteristics and properties of the management of technology leading to superior organisational performance in the discovery process of R&amp;D labs

Coccia, Mario

doi:10.1080/09537325.2015.1095287

Cited by 106 publications

(40 citation statements)

References 88 publications

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“…Technology, for years to come, can cope with consequential epidemic outbreaks, also redefining the way governments interact with their citizens, such as the expanded use of surveillance tools, defending against cyberattacks and misinformation campaigns, etc. (cf., Coccia, 2016aCoccia, , 2016bCoccia, , 2019). This study here shows that accelerated diffusion of COVID-19 is also likely associated with high air pollution and specific meteorological conditions (low wind speed, etc.)…”

Section: Air Pollution Immune System and Genetic Damagesmentioning

confidence: 99%

Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID

Coccia

2020

Science of The Total Environment

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This study has two goals. The first is to explain the geo-environmental determinants of the accelerated diffusion of COVID-19 in Italy that is generating a high level of deaths. The second is to suggest a strategy to cope with future epidemic threats having accelerated viral infectivity in society. Using data on N=55 Italian province capitals, and data of infected individuals at as of April 7 th , 2020, results reveal that the accelerate and vast diffusion of COVID-19 in North Italy has a high association with air pollution of cities measured with days exceeding the limits set for PM10 (particulate matter 10 micrometers or less in diameter) or ozone in previous years. In particular, hinterland cities with average higher number of days exceeding the limits set for PM10 (and a low intensity of wind speed) have a very high number of infected people on 7 th April, 2020 (arithmetic mean about 2,200 infected, with average polluted days greater than 80), than coastal cities also having days of exceeding the limits set for PM10 or ozone but with high intensity of wind speed (arithmetic mean about 944.70 infected individuals, with about 60 average polluted days); moreover, cities having more than 100 days of air pollution (exceeding the limits set for PM10), they have a very high average number of infected people (about 3,350 infected individuals, 7 th April 2020), whereas cities having less than 100 days of air pollution, they have a lower average number of infected individuals (about 1014). The findings here also suggest that to minimize the impact of future epidemics similar to COVID-19, the max number of days per year in which Italian provincial capitals can exceed the limits set for PM10 or for ozone, considering their meteorological conditions, is about 48 days. Moreover, results here reveal that the explanatory variable of air pollution in cities under study seems to be a more important predictor in the initial phase of diffusion (on 17 th March 2020, b1 = 1.27, p<0.001) than interpersonal contacts (b2 = 0.31, p<0.05). In the second phase of maturity of the transmission dynamics of COVID-19, air pollution reduces intensity (on 7 th April, 2020 with b'1 = .81, p<0.001) also because of indirect effect of lockdown, whereas coefficient of transmission by interpersonal contacts has stability (b'2 = 0.31, p<0.01). This result reveals that accelerated transmissions dynamics of COVID-19 is due to mainly to the mechanism of "air pollution-to-human transmission" rather than "human-to-human transmission". Overall, then, transmission dynamics of viral infectivity, such as COVID-19, is due to systemic causes: general factors that are the same for all regions (e.g., biological characteristics of virus, incubation period, etc.) and specific factors which are different for each region (e.g., complex interaction between air pollution, meteorological conditions and biological characteristics of viral infectivity) and health level of individuals (habits, immune system, age, sex, etc.). Lessons learned for COVID-19 in the case study o...

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Section: Air Pollution Immune System and Genetic Damagesmentioning

confidence: 99%

Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID

Coccia

2020

Science of The Total Environment

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577

568

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“…On the basis of the argument presented in this paper, we can therefore conclude that -in average-terrorism is also associated with high growth rates of population, combined with poverty, high income inequality and subsistence stress in society, ceteris paribus. These problematic socioeconomic factors can disrupt the stability of socie-2 Terrorism may be also decline in the future because of improved enforcement technologies generated by converging innovations between research scientific fields, vital role of public research laboratories and a possible rising wealth of nations that reduce drivers of terrorism and/or prevent terrorist actions (for new technology and convergence of research fields, see, Calabrese et al, 2005;Cavallo et al, 2014Cavallo et al, , 2015Coccia 2006Coccia , 2010Coccia , 2010aCoccia , 2010bCoccia , 2012Coccia , 2012aCoccia , 2012bCoccia , 2012cCoccia , 2013Coccia , 2013aCoccia , 2014aCoccia , 2014bCoccia , 2015Coccia , 2016Coccia , 2017aCoccia , 2017bCoccia and Finardi, 2012;Wang, 2015, 2016; for the role of public research laboratories see Coccia, 2001Coccia, , 2008Coccia and Cadario, 2014;Coccia and Rolfo, 2009). ties/communities, generate relative deprivation and lead to terrorism as a result (cf., Butler, 2015).…”

Section: Concluding Observations and Policy Implicationsmentioning

confidence: 99%

A Theory of General Causes of Terrorism - High Population Growth, Income Inequality and Relative Deprivation

Coccia

2018

AOP

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This paper has two goals. The first is to analyze the possible association between demographic factors and effects of terrorist attacks in society. The second is to detect possible socioeconomic and psychosocial risk factors. These topics are basic in social sciences because terrorism is growing both in rich and in developing nations (Devezas & Santos, 2006; Root causes, 2015;Li & Schaub, 2004;Norris et al., 2013; Reardon, Abstract.A fundamental problem in psychosocial sciences is how to explain the root causes of terrorism. The vast literature has analyzed several determinants of terrorism. However, the precise role of demographic factors for the evolution of terrorism is hardly known. Statistical evidence here reveals that fatalities for incidents of terrorism are associated with growth rates of population. This finding seems to suggest that terrorism thrives -in average-in specific regions with high growth rates of population that may generate income inequality, subsistence stress and relative deprivation of people. In addition, geospatial analysis here reveals that countries with high association between fatalities from terrorist incidents and population growth are mainly in Africa and Middle East. Overall, then, the study here can clarify and generalize whenever possible, one of the causes of terrorism, which seems to be due to sociodemographic factors combined with psychosocial risk factors. Finally, the study suggests socioeconomic policies directed to reduce this critical problem in society.

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“…Other authors have analyzed how radical innovation is conducive to breakthroughs in their innovation context [43]. Recent theories postulate that market demands offer complementary explanations for technology disruptions [44].…”

Section: Radical Innovation and Disruptive Technologiesmentioning

confidence: 99%

Disruptive Innovation in Traditional Clusters: The Case of the Kerajet Ceramic Tile Cluster in Spain

Garrigós

Hervás-Oliver

2019

Applied Sciences

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Academic literature has often emphasized how firms in regional clusters exploit both place-specific local resources and external, world-class knowledge to strengthen their competitiveness by expanding the influence of regional systems of innovation. Innovation based on more complex and disruptive technologies tends to also be based on more open systems that utilize the clusters’ external networks. However, most of the literature has associated clusters with incremental innovation. This paper will analyze the determinants of disruptive innovation development in traditional (low and medium tech) clusters caused by high-tech entrepreneurs. It will analyze the case of the development of breakthrough innovation, its diffusion in the Spanish ceramic tile cluster, and its consequent diffusion in the industry worldwide. It will examine how market demands, customer orientation, technology diffusion from other industries, industry competitiveness, as well as internal and external networking of clusters can facilitate the development of complex technology within a common set of social capital goals, cognitive schemes, and knowledge. The paper is based on a case study and field work carried out over10 years in the field in the Italian and Spanish tile ceramic clusters. The main contribution of this paper to technology strategy theory will be thorough the utilization of the disruptive technology paradigm in explaining industry changes and sustainability.

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Radical innovations as drivers of breakthroughs: characteristics and properties of the management of technology leading to superior organisational performance in the discovery process of R&D labs

Cited by 106 publications

References 88 publications

Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID

Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID

A Theory of General Causes of Terrorism - High Population Growth, Income Inequality and Relative Deprivation

Disruptive Innovation in Traditional Clusters: The Case of the Kerajet Ceramic Tile Cluster in Spain

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