Abstract
Abstract. In the presence of global pandemic crisis of the Coronavirus Disease 2019 (COVID-19), although some countries have experienced high levels of infections, they have lower numbers of COVID-19 related deaths. Why? This exploratory research here analyzes the vital role of technological innovation of medical ventilators to cope with the initial stage of COVID-19 pandemic without specific pharmaceutical treatments (drugs and vaccines). Results suggest that countries having a high number of medical ventilators (26.76 per 100,000 inhabitants) have in general a fatality rate lower (1.44% in December 2020) than countries with low average number of medical ventilators (10.38 per 100,000) that have a high fatality rate of 2.46% in the same period. These findings bring us to suggest a technology -oriented strategy of preparedness to cope with future pandemic threats based on high levels of R&D investments in healthcare sectors with new infrastructures, skilled human resources and especially modern technologies of high-tech medical ventilators that can reduce negative effects of emerging infectious diseases when specific drugs and treatments lack.
Keywords. COVID-19 pandemic; Coronavirus Disease 2019, Artificial ventilation; Mechanical ventilation, Noninvasive ventilation, New technology; Crisis management; Pandemic preparedness; Hospital Ventilators; Health emergencies.
JEL. H12; H51; I10; O14; O32; O33.
References
Akan, A.P., & Coccia, M. (2022). Changes of air pollution between countries because of lockdowns to face COVID-19 pandemic. Applied Sciences, 12(24), no.12806. doi. 10.3390/app122412806
Akan, A.P., & Coccia, M. (2023). Transmission of COVID-19 in cities with weather conditions of high air humidity: Lessons learned from Turkish Black Sea region to face next pandemic crisis, COVID, 3(11), 1648-1662. doi. https://doi.org/10.3390/covid3110113
Allen, D.W. (2022). Covid-19 lockdown cost/benefits: A critical assessment of the literature, International Journal of the Economics of Business, 29(1), 1-32. doi. 10.1080/13571516.2021.1976051
Amarlou, A., & Coccia, M. (2023). Estimation of diffusion modelling of unhealthy nanoparticles by using natural and safe microparticles. Nanochemistry Research, 8(2), 117-121. doi. 10.22036/ncr.2023.02.004
Anastopoulos, I., Bontempi, E., Coccia, M., Quina, M., & Shaaban, M. (2023). Sustainable strategic materials recovery, what’s next? Next Sustainability, VSI: Sustainable strategic materials recovery_Editorial, no.100006. doi. 10.1016/j.nxsust.2023.100006
Angelopoulos, A.N., Pathak, R., Varma, R., & Jordan, M.I. (2020). On identifying and mitigating bias in the estimation of the COVID-19 case fatality rate. Harvard Data Science Review. doi. 10.1162/99608f92.f01ee285
Anttiroiko, A.V. (2021). Successful government responses to the pandemic: Contextualizing national and urban responses to the COVID-19 outbreak in East and West. International Journal of E-Planning Research, 10(2), 1-17.
Ardito, L., Coccia, M., & Messeni, P.A. (2021). Technological exaptation and crisis management: Evidence from COVID-19 outbreaks. R&D Management, 51(4), 381-392. doi. 10.1111/radm.12455
Askitas, N., Tatsiramos, K., & Verheyden, B. (2021). Estimating worldwide effects of non-pharmaceutical interventions on COVID-19 incidence and population mobility patterns using a multiple-event study, Scientific Reports, 11(1), no.1972.
Atkeson, A.G., (2021). Behavior and the dynamic of epidemics. Brookings Papers on Economic Activity, Spring.
Auld, S.C., Caridi-Scheible, M., Blum, J.M., Robichaux, C., Kraft, C., Jacob, J.T., Jabaley, C.S., (...), & Murphy, D.J. (2020) ICU and Ventilator Mortality among Critically Ill Adults with Coronavirus Disease 2019, Critical Care Medicine, pp.E799-E804. doi. 10.1097/CCM.0000000000004457
Ball, P. (2021). What the COVID-19 pandemic reveals about science, policy and society. Interface Focus, .112021002220210022. doi. http://doi.org/10.1098/rsfs.2021.0022
Barro, R.J. (2020). Non-Pharmaceutical Interventions and Mortality in U.S. Cities during the Great Influenza Pandemic, 1918-1919. NBER Working Paper, No.27049. doi. 10.3386/w27049
Calabrese G., Coccia M., & Rolfo S. (2005). Strategy and market management of new product development: evidence from Italian SMEs. International Journal of Product Development, 2(1-2), 170-189. doi. 10.1504/IJPD.2005.006675
Chantler, T., Karafillakis, E., & Wilson, J. (2019). Vaccination: Is there a place for penalties for non-compliance? Applied Health Economics and Health Policy, 17(3), 265–271. doi. 10.1007/s40258-019-00460-z
Coccia, M. (2005). Countrymetrics: valutazione della performance economica e tecnologica dei paesi e posizionamento dell’Italia, Rivista Internazionale di Scienze Sociali, vol.CXIII, n.3, 377-412.
Coccia, M. (2005a). A taxonomy of public research bodies: a systemic approach, Prometheus, 23(1), 63-82. doi. 10.1080/0810902042000331322
Coccia, M. (2008). Measuring scientific performance of public research units for strategic change. Journal of Informetrics, 2(3), 183-194. doi. 10.1016/j.joi.2008.04.001
Coccia, M. (2014). Steel market and global trends of leading geo-economic players. International Journal of trade and global markets, 7(1), 36-52. 10.1504/IJTGM.2014.058714
Coccia, M. (2015). Spatial relation between geo-climate zones and technological outputs to explain the evolution of technology. Int. J. Transitions and Innovation Systems, 4,(1-2), 5-21. doi. 10.1504/IJTIS.2015.074642
Coccia, M. (2016). Problem-driven innovations in drug discovery: co-evolution of the patterns of radical innovation with the evolution of problems, Health Policy and Technology, 5(2), 143-155. doi. 10.1016/j.hlpt.2016.02.003
Coccia, M. (2017). Varieties of capitalism’s theory of innovation and a conceptual integration with leadership-oriented executives: the relation between typologies of executive, technological and socioeconomic performances. Int. J. Public Sector Performance Management, 3(2), 148–168. doi. 10.1504/IJPSPM.2017.084672
Coccia, M. (2017a). Disruptive firms and industrial change, Journal of Economic and Social Thought, 4(4), 437-450. doi. 10.1453/jest.v4i4.1511
Coccia, M. (2017b). New directions in measurement of economic growth, development and under development, Journal of Economics and Political Economy, 4(4), 382-395. doi. 10.1453/jepe.v4i4.1533
Coccia, M. (2017c). Sources of disruptive technologies for industrial change. L’industria –rivista di economia e politica industriale, 38(1), 97-120. doi. 10.1430/87140
Coccia, M. (2017d). Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms. Technology Analysis & Strategic Management, 29(9), 1048-1061. doi. 10.1080/09537325.2016.1268682
Coccia, M. (2018). An introduction to the methods of inquiry in social sciences, Journal of Social and Administrative Sciences, 5(2), 116-126. doi. 10.1453/jsas.v5i2.1651
Coccia, M. (2018a). An introduction to the theories of institutional change, Journal of Economics Library, 5(4), 337-344. doi. 10.1453/jel.v5i4.1788
Coccia, M. (2018b). General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology, Scientometrics, 117(2), 1265-1283. doi. 10.1007/s11192-018-2902-8
Coccia, M. (2018c). The origins of the economics of Innovation, Journal of Economic and Social Thought, 5(1), 9-28. doi. 10.1453/jest.v5i1.1574
Coccia, M. (2018d). The relation between terrorism and high population growth, Journal of Economics and Political Economy, 5(1), 84-104. doi. 10.1453/jepe.v5i1.1575
Coccia, M. (2019). Why do nations produce science advances and new technology? Technology in society, 59, 1-9. doi. 10.1016/j.techsoc.2019.03.007
Coccia, M. (2019a). The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting, Technological Forecasting and Social Change, 141, 289-304. doi. 10.1016/j.techfore.2018.12.012
Coccia, M. (2019b). A Theory of classification and evolution of technologies within a Generalized Darwinism, Technology Analysis & Strategic Management, 31(5), 517-531. doi. 10.1080/09537325.2018.1523385
Coccia, M. (2019c). Theories of Development. A. Farazmand (ed.), Global Encyclopedia of Public Administration, Public Policy, and Governance, Springer Nature, doi. 10.1007/978-3-319-31816-5_939-1
Coccia, M. (2019d). Comparative Incentive Systems. A. Farazmand (ed.), Global Encyclopedia of Public Administration, Public Policy, and Governance, Springer Nature Switzerland AG. doi. 10.1007/978-3-319-31816-5_3706-1
Coccia, M. (2019e). Metabolism of public organizations: A case study, Journal of Social and Administrative Sciences, 6,(1), 1-9. doi. http://dx.doi.org/10.1453/jsas.v6i1.1793
Coccia, M. (2019f). The Role of Superpowers in Conflict Development and Resolutions. A. Farazmand (ed.), Global Encyclopedia of Public Administration, Public Policy, and Governance, Springer Nature Switzerland AG. doi. 10.1007/978-3-319-31816-5_3709-1
Coccia, M. (2019g). Theories of Self-determination. A. Farazmand (ed.), Global Encyclopedia of Public Administration, Public Policy, and Governance, Springer Nature. doi. 10.1007/978-3-319-31816-5_3710-1
Coccia, M. (2020). How (Un)sustainable Environments are Related to the Diffusion of COVID-19: The Relation between Coronavirus Disease 2019, Air Pollution, Wind Resource and Energy. Sustainability, 12, 9709. doi. 10.3390/su12229709
Coccia, M. (2020a). How does science advance? Theories of the evolution of science. Journal of Economic and Social Thought, 7(3), 153-180. doi. 10.1453/jest.v7i3.2111
Coccia, M. (2020b). The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics, Scientometrics, 124, 451-487. doi. 10.1007/s11192-020-03464-y
Coccia, M. (2020c). How do environmental, demographic, and geographical factors influence the spread of COVID-19. Journal of Social and Administrative Sciences, 7(3), 169-209. doi. 10.1453/jsas.v7i3.2018
Coccia, M. (2020d). Destructive Technologies for Industrial and Corporate Change. In: Farazmand A. (eds), Global Encyclopedia of Public Administration, Public Policy, and Governance. Springer, Cham. doi. 10.1007/978-3-319-31816-5_3972-1
Coccia, M. (2020e). Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence. Technology in Society, 60, 1-11, Art. No.101198. doi. 10.1016/j.techsoc.2019.101198
Coccia, M. (2021). Effects of the spread of COVID-19 on public health of polluted cities: results of the first wave for explaining the dejà vu in the second wave of COVID-19 pandemic and epidemics of future vital agents. Environmental Science and Pollution Research. doi. 10.1007/s11356-020-11662-7
Coccia, M. (2021a). The relation between length of lockdown, numbers of infected people and deaths of COVID-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19. Science of The Total Environment, No.145801. doi. 10.1016/j.scitotenv.2021.145801
Coccia, M. (2021b). How do low wind speeds and high levels of air pollution support the spread of COVID-19? Atmospheric Pollution Research, 12(1), 437-445. doi. 10.1016/j.apr.2020.10.002
Coccia, M. (2021c). The effects of atmospheric stability with low wind speed and of air pollution on the accelerated transmission dynamics of COVID-19. International Journal of Environmental Studies, 78(1), 1-27. doi. 10.1080/00207233.2020.1802937
Coccia, M. (2021d). Pandemic Prevention: Lessons from COVID-19. Encyclopedia of COVID-19, Open Access Journal, MDPI, 1, 433-444. doi. 10.3390/encyclopedia1020036
Coccia, M. (2021e). High health expenditures and low exposure of population to air pollution as critical factors that can reduce fatality rate in COVID-19 pandemic crisis: a global analysis. Environmental Research, 199, Article No. 111339. doi. 10.1016/j.envres.2021.111339
Coccia, M. (2021f). Comparative Critical Decisions in Management. In: Farazmand A. (eds), Global Encyclopedia of Public Administration, Public Policy, and Governance. Springer Nature Switzerland AG, Springer, Cham. doi. 10.1007/978-3-319-31816-5_3969-1
Coccia, M. (2021g). How a Good Governance of Institutions Can Reduce Poverty and Inequality in Society? In Nezameddin Faghih, Ali Hussein Samadi (Editor) Legal-Economic Institutions, Entrepreneurship, and Management, Perspectives on the Dynamics of Institutional Change from Emerging Markets, Springer Nature, doi. 10.1007/978-3-030-60978-8, pp. 65-94
Coccia, M. (2021h). Pandemic Prevention: Lessons from COVID-19. Encyclopedia 2021, 1, 433–444. doi. htt10.3390/encyclopedia1020036
Coccia, M. (2021i). The effects of atmospheric stability with low wind speed and of air pollution on the accelerated transmission dynamics of COVID-19. International Journal of Environmental Studies, 78(1), 1-27. doi. 10.1080/00207233.2020.1802937
Coccia, M. (2021l). The impact of first and second wave of the COVID-19 pandemic: comparative analysis to support control measures to cope with negative effects of future infectious diseases in society. Environmental Research, 197, Article No.111099. doi. 10.1016/j.envres.2021.111099
Coccia, M. (2022). Preparedness of countries to face covid-19 pandemic crisis: Strategic positioning and underlying structural factors to support strategies of prevention of pandemic threats, Environmental Research, 203, Art. No.111678. doi. 10.1016/j.envres.2021.111678
Coccia, M., & Bellitto, M. (2018). Human progress and its socioeconomic effects in society, Journal of Economic and Social Thought, 5(2), 160-178. doi. 10.1453/jest.v5i2.1649
Coccia, M., & Benati, I. (2018). Rewards in public administration: A proposed classification, Journal of Social and Administrative Sciences, 5(2), 68-80. doi. 10.1453/jsas.v5i2.1648
Coccia, M., & Cadario, E. (2014). Organisational (un)learning of public research labs in turbulent context. International Journal of Innovation and Learning, 15(2), 115-129. doi. 10.1504/IJIL.2014.059756
Coccia, M., & Finardi, U. (2012). Emerging nanotechnological research for future pathway of biomedicine. International Journal of Biomedical nanoscience and nanotechnology, 2(3-4), 299-317. doi. 10.1504/IJBNN.2012.051223
Coccia, M., & Finardi, U. (2013). New technological trajectories of non-thermal plasma technology in medicine. Int. J. Biomedical Engineering and Technology, 11(4), 337-356. doi. 10.1504/IJBET.2013.055665
Coccia, M., & Rolfo, S. (2000). Ricerca pubblica e trasferimento tecnologico: il caso della regione Piemonte in Rolfo S. (eds) Innovazione e piccole imprese in Piemonte, Franco Angeli Editore, Milano, Italy.
Coccia, M., & Rolfo, S. (2008). Strategic change of public research units in their scientific activity, Technovation, 28(8), 485-494. doi. 10.1016/j.technovation.2008.02.005
Coccia, M., & Wang, L. (2016). Evolution and convergence of the patterns of international scientific collaboration. Proceedings of the National Academy of Sciences of the United States of America, 113(8), 2057-2061. doi. 10.1073/pnas.1510820113
Cohen J. (2020). Another HIV vaccine strategy fails in large-scale study. A trial in South Africa was halted after early analysis found no protection. Science. [Retrieved from].
Dana L., Gurau C., Hoy F., Ramadani V., Alexander T.E. (2021). Success factors and challenges of grassroots innovations: Learning from failure. Technological Forecasting and Social Change, 164, 119600. doi. 10.1016/j.techfore.2019.03.009
Danneels E., Vestal A., (2020). Normalizing vs. analyzing: Drawing the lessons from failure to enhance firm innovativeness, Journal of Business Venturing, (1), 105903, doi. 10.1016/j.jbusvent.2018.10.001
DeLucia, R.A., Salvino, J.T., Fenton, B.C. (1989). Statistics on Aircraft Gas Turbine Engine Rotor Failures That Occurred in U.S. Commercial Aviation during 1985. DOT/ FAA/CT-8917. FAA Technical Center Atlantic City International Airport N.J. 08405. U.S. Department of Transportation.
Denrell J. (2003). Vicarious learning, undersampling of failure, and the myths of management. Organization Science 14(3), 227–243.
Desai, V. (2015). Learning through the distribution of failures within an organization: Evidence from heart bypass surgery performance. Academy of Management Journal, 58(4), 1032–1050. doi. 10.5465/amj.2013.0949
Dodgson D., Rothwell R. (1995). The Handbook of Industrial Innovation. Edward Elgar Publishing.
Duncan, R., Weiss A. (1979). Organizational Learning: Implications for Organizational Design. In B. Staw (Ed.), Research in Organizational Behavior. Vol. 1. Greenwich, CT: JAI.
Edmondson A.C. (2011). Strategies for Learning from Failure. Harvard Business Review 89, no.4.
Eggers J.P. (2012). Falling flat: failed technologies and investment under uncertainty. Administrative Science Quarterly 57, 47–80. doi. 10.1177/0001839212447181
Eisenhardt, K.M. (1989). Building Theories from Case Study Research. The Academy of Management Review, 14(4), 532–550. doi. 10.2307/258557
Eisenhardt, K.M., Graebner, M.E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25–32. doi. 10.5465/AMJ.2007.24160888
Ericson C. (1999). Fault Tree Analysis - A History. Proceedings of the 17th International Systems Safety Conference.
Fernández, L.A., Wiedemann, C. & Braun, V. (2022). Analysis of Space Launch Vehicle Failures and Post-Mission Disposal Statistics. Aerotec. Missili Spaz. 101, 243–256.
Ferreira, J.J.M., Fernandes, C.I., Ferreira, F.A.F. (2020). Wearing failure as a path to innovation. Journal of business research, 120, 195–202. doi. 10.1016/j.jbusres.2020.08.006
Firestein, S. (2015). Failure: Why Science Is So Successful. New York: Oxford University Press.
Fleming L. (2001). Recombinant Uncertainty in Technological Search. Management Science, 47, 117-132.
Focosi D., McConnell S., Casadevall A. (2022). The Omicron variant of concern: Diversification and convergent evolution in spike protein, and escape from anti-Spike monoclonal antibodies. Drug resistance updates: reviews and commentaries in antimicrobial and anticancer chemotherapy, 65, 100882. doi. 10.1016/j.drup.2022.100882
Forsman H. (2021). Innovation failure in SMEs: a narrative approach to understand failed innovations and failed innovators. International Journal of Innovation Management. 25(09), pp. 1-23.
Gioia, D.A. and Chittipeddi, K. (1991). Sensemaking and sensegiving in strategic change initiation. Strategic Management Journal, 12, 433-448.
Gupta S., Leaf D.E. (2021). Tocilizumab in COVID-19: some clarity amid controversy. Lancet 397(10285), 1599–1601. doi. 10.1016/S0140-6736(21)00712-1
Harris J.E. (2022). The repeated setbacks of HIV vaccine development laid the groundwork for SARS-CoV-2 vaccines. Health policy and technology, 11(2), 100619. doi. 10.1016/j.hlpt.2022.100619
Hixenbaugh A.F. (1968). Fault Tree for Safety. Seattle, WA: The Boeing Company.
Hogeback J. (2023). 7 Accidents and Disasters in Spaceflight History. Britannica, Technology. [Retrieved from].
Höpfner J., Keith N. (2021). Goal Missed, Self Hit: Goal-Setting, Goal-Failure, and Their Affective, Motivational, and Behavioral Consequences. Frontiers in psychology, 12, 704790. doi. 10.3389/fpsyg.2021.704790
Jacklin S.A. (2022). Small-Satellite Mission Failure Rates NASA/TM—2018– 220034. [Retrieved from].
Kaplan S. (2022). Successes and Failures of U.S. Space Launch. Center for Strategic and International Studies [Retrieved from].
Kargı, B., Coccia, M., & Uçkaç, B.C. (2023). How does the wealth level of nations affect their COVID19 vaccination plans? Economics, Management and Sustainability. 8(2), 6-19. doi. 10.14254/jems.2023.8-2.1
Kargı, B., Coccia, M., & Uçkaç, B.C. (2023a). The relation between restriction policies against Covid-19, economic growth and mortality rate in society. Migration Letters, 20(5), 218-231. doi. 10.47059/ml.v20i5.3538
Kozinets, R.V. (2002). The field behind the screen: using ethnography for marketing research in online communities. J. Mark. Res. 39(1), 61–72
Lampel J, Shamsie J, Shapira Z. (2009). Experiencing the improbable: rare events and organizational learning. Organization Science 20(5), 835–845.
Larsen W. (1974). Fault Tree Analysis. Picatinny Arsenal. Technical Report 4556, Dover, New jersey (USA).
Levinthal D.A., March, J.G. (1993). The myopia of learning. Strategic Management Journal, 14, 95-112.
Li W., Hou N. (2022). Aircraft Failure Rate Prediction Method Based on CEEMD and Combined Model. Scientific Programming. Volume 2022, Article ID 8455629. doi. 10.1155/2022/8455629
Madsen PM, Desai V. (2010). Failing to learn? The effects of failure and success on organizational learning in the global orbital launch vehicle industry. Academy of Management Journal 53(3), 451–476.
Magazzini L., Pammolli F., Riccabon, M. (2012). Learning from Failures or Failing to Learn? Lessons from Pharmaceutical R&D. European Management Review, 9(1), 45-58.
Magazzino, C., Mele, M., & Coccia, M. (2022). A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality. Epidemiology and infection, 150, e168. doi. 10.1017/S0950268822001418
Maslach D. (2016). Change and persistence with failed technological innovation. Strategic Management Journal, 37(4), 714–723.
Mattarelli, E., Cochis, C., Bertolotti, F. and Ungureanu, P. (2022). How designed work environment and enacted work interactions impact creativity and work–life balance. European Journal of Innovation Management, ahead-of-print No. ahead-of-print. doi. 10.1108/EJIM-01-2022-0028
McGrath RG. (1999). Falling forward: real options reasoning and entrepreneurial failure. Academy of Management Review 24(1), 13–30.
Mosleh M., Roshani S., Coccia M. (2022). Scientific laws of research funding to support citations and diffusion of knowledge in life science. Scientometrics 127, 1931–1951. doi. 10.1007/s11192-022-04300-1
Nagler R,A., Horwitz, L.I., Jones, S., Petrilli, C.M., Iturrate, E., Lighter, J.L., Phillips, M., Bosworth, B.P., Polsky, B., Volpicelli, F.M., Dapkins, I., Viswanathan, A., François, F., & Kalkut, G. (2022). The impact of COVID-19 monoclonal antibodies on clinical outcomes: A retrospective cohort study. American journal of health-system pharmacy: AJHP, journal of the American Society of Health-System Pharmacists, 79(24), 2222–2229. doi. 10.1093/ajhp/zxac295
Nelson R.R. (2008). Bounded rationality, cognitive maps, and trial and error learning, Journal of Economic Behavior & Organization, 67(1), 78-89, doi. 10.1016/j.jebo.2007.06.002
Núñez-Delgado A., Bontempi E., Coccia M., Kumar M., Farkas K., Domingo, J.L. (2021). SARS-CoV-2 and other pathogenic microorganisms in the environment, Environmental Research, 201, 111606, doi. 10.1016/j.envres.2021.111606
Núñez-Delgado, A., Zhien Z., Elza B., M. Coccia, M. Race, and Y. Zhou. (2023). Editorial on the Topic “New Research on Detection and Removal of Emerging Pollutants, Materials, 16(2), 725. doi. 10.3390/ma16020725
Oh H.S. (2020). Unit commitment considering the impact of deep cycling, Sustainable Futures, 2, 100031. doi. 10.1016/j.sftr.2020.100031
O'Hare, D. (2000). The ‘Wheel of Misfortune’: A taxonomic approach to human factors in accident investigation and analysis in aviation and other complex systems. Ergonomics, 43(12), 2001-2019.
Pagliaro M., Coccia M. (2021). How self-determination of scholars outclasses shrinking public research lab budgets, supporting scientific production: a case study and R&D management implications. Heliyon, 7(1), e05998. doi. 10.1016/j.heliyon.2021.e05998
Pangione L., Skilton R., Powell R., (2020). A taxonomy approach to failure mode analysis for use in predictive condition monitoring, Fusion Engineering and Design, 153, 111506. doi. 10.1016/j.fusengdes.2020.111506
Petroski H (1985). To Engineer is Human: The Role of Failure in Successful Design. London: Macmillan.
Pronti, A., Coccia, M. (2020). Multicriteria analysis of the sustainability performance between agroecological and conventional coffee farms in the East Region of Minas Gerais (Brazil). Renewable Agriculture and Food Systems, 36(3), 299-306. doi. 10.1017/S1742170520000332
Pronti, A., Coccia, M. (2021). Agroecological and conventional agricultural systems: comparative analysis of coffee farms in Brazil for sustainable development, Int. J. Sustainable Development, 23(3/4), 223-248. doi. 10.1504/IJSD.2020.115223
Qin J., Huang B., Walter J., Bernstein J.B., Talmor M. (2005). Reliability Analysis of Avionics in the Commercial Aerospace Industry. The Journal of RAC, first quarter, pp.1-25
Reason, J (2000) Human error: Models and Management. British Medical Journal, 320, 768-70.
Rhaiem K., Amara N. (2021). Learning from innovation failures: a systematic review of the literature and research agenda. Rev Manag Sci 15, 189–234.
Romanova N., N. Crosby, V. Pilipenko, (2013). Relationship of Worldwide Rocket Launch Crashes with Geophysical Parameters, International Journal of Geophysics, 2013, ID: 297310. doi. 10.1155/2013/297310
Roshani S., Bagheri R., Mosleh M., Coccia M. (2021). What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines. Scientometrics 126, 7859–7874. doi. 10.1007/s11192-021-04077-9
Roshani S., Coccia M., Mosleh M. (2022). Sensor Technology for Opening New Pathways in Diagnosis and Therapeutics of Breast, Lung, Colorectal and Prostate Cancer. HighTech and Innovation Journal, 3(3), 356-375. doi. 10.28991/HIJ-2022-03-03-010
Roshani, S.; Bagherylooieh, M.-R.; Mosleh, M.; Coccia, M. (2021). What Is the Relationship between Research Funding and Citation-Based Performance? A Comparative Analysis between Critical Disciplines. Scientometrics, 126, 7859–7874. doi. 10.1007/s11192-021-04077-9
Savino T., Messeni Petruzzelli, A. Albino, V. (2017). Search and Recombination Process to Innovate: A Review of the Empirical Evidence and a Research Agenda. International Journal of Management Reviews, 19, 54-75.
Simon H.A. (1993). Strategy and Organizational Evolution. Strategic Management Journal, 14, 131–142. Sosna M., Rosa Nelly Trevinyo-Rodríguez, S. Ramakrishna Velamuri, 2010. Business Model Innovation through Trial-and-Error Learning: The Naturhouse Case, Long Range Planning, 43(2-3), 383-407. doi. 10.1016/j.lrp.2010.02.003
Starbuck W.H., Hedberg B. (2001). How Organizations Learn from Success and Failure (2001). Handbook of Organizational Learning and Knowledge; M. Dierkes, A. Berthoin Antal, J. Child, and I. Nonaka (eds.); Oxford University Press.
Sun D., Gao W., Hu H., Zhou S. (2022). Why 90% of clinical drug development fails and how to improve it?. Acta pharmaceutica Sinica. B, 12(7), 3049–3062. doi. 10.1016/j.apsb.2022.02.002
Taylor P. (2021). 2020’s top 10 clinical trial flops. [Retrieved from].
Taylor P. (2022). 2021's top 10 clinical trial flops. [Retrieved from].
Teece D. J., Pisano G., Shuen A. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7), 509–533.
Teng E, Manser PT, Pickthorn K, et al. (2022). Safety and Efficacy of Semorinemab in Individuals With Prodromal to Mild Alzheimer Disease: A Randomized Clinical Trial. JAMA Neurol. 79(8), 758–767. doi. 10.1001/jamaneurol.2022.1375
Testa S., Frascheri S. (2015). Learning by failing: What we can learn from un-successful entrepreneurship education, The International Journal of Management Education, 13(1), 11-22. doi. 10.1016/j.ijme.2014.11.001
Uçkaç, B.C., Coccia, M., & Kargi, B. (2023a). Diffusion COVID-19 in polluted regions: Main role of wind energy for sustainable and health, International Journal of Membrane Science and Technology, 10(3), 2755-2767. doi. 10.15379/ijmst.v10i3.2286
Uçkaç, B.C., Coccia, M., & Kargı, B., (2023). Simultaneous encouraging effects of new technologies for socioeconomic and environmental sustainability. Bulletin Social-Economic and Humanitarian Research, 19(21), 100-120. doi. 10.52270/26585561_2023_19_21_100
Välikangas, L., Hoegl, M., & Gibbert, M. (2009). Why learning from failure isn't easy (and what to do about it): Innovation trauma at Sun Microsystems. European Management Journal, 27(4), 225–233. doi. 10.1016/j.emj.2008.12.001
van der Panne G., Cees van Beers, Alfred Kleinknecht (2003). Success and Failure of Innovation: A Literature Review, International Journal of Innovation Management, 7(3), 309-338. doi. 10.1142/S1363919603000830
Velikova, M., Baker, H., Smith, S.D. (2018). The meaning of failure: Establishing a taxonomy of failure in the construction industry to improve organisational learning. 16-25. Paper presented at 34th Annual Association of Researchers in Construction Management Conference, ARCOM 2018, Belfast, United Kingdom. [Retrieved from].
Vesely W.E. et al. (2002). Fault Tree Handbook with Aerospace Applications. National Aeronautics and Space Administration.
Vesely W. E., F.F. Goldberg, N.H. Roberts, D.F. Haasl (1981). Fault Tree Handbook NUREG–0492. U.S. Nuclear Regulatory Commission. Washington, DC. 20555-0001.
Wall M. (2022). Europe's Vega C rocket fails on 2nd-ever mission, 2 satellites lost. [Retrieved from].
Weick K.E. (1991). The Nontraditional Quality of Organizational Learning. Organization Science, 2(1), 116–124.
WHO (2022). WHO prequalifies first monoclonal antibody - tocilizumab – to treat COVID-19. [Retrieved from].
Xhignesse M. (2020). Failures of Intention and Failed-Art. Canadian Journal of Philosophy, 50, 905-917.
Yang, C., Zhao, H. (2021). Tocilizumab in COVID-19 therapy: who benefits, and how?. Lancet 398(10297), 299. doi. 10.1016/S0140-6736(21)01380-5
Young M. (2019). The utility of failure: a taxonomy for research and scholarship. Perspectives on medical education, 8(6), 365–371. doi. 10.1007/s40037-019-00551-6
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