Volume 9, Issue 1 (2018)                   JMBS 2018, 9(1): 153-164 | Back to browse issues page

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Ahmadian A, Ghazinoory S, Saghafi F, Ghazinoori S, Mohammadi M. Assessing Future Biotechnology Innovation Pathways in Regards to its Convergence with the Other Emerging Technologies. JMBS. 2018; 9 (1) :153-164
URL: http://biot.modares.ac.ir/article-22-16913-en.html
1- Public Administration Department, Management Faculty, University of Tehran, Tehran, Iran.
2- IT Management Department, Management & Economics Faculty, Tarbiat Modares Unuversity, Tehran, Iran
3- Assistant Professor of Industrial Management/ Management Faculty/ Tehran University, Industrial Management Department, Management Faculty, University of Tehran, Nasr Bridge, Jalale Ale Ahmad Highway, North Kargar Street, Tehran, Iran. , fsaghafi@ut.ac.ir
4- Industrial Management Department, Management & Accounting Faculty, Allame Tabatabaei University, Tehran, Iran
5- Assistant Professor of Industrial Management/ Management Faculty/ Tehran University
Abstract:   (2133 Views)
Aims: Emerging sciences and technologies have huge potential in the field of innovation; therefore, they should be protected against large uncertainties caused by unknown. The aim of this study was to evaluate biotechnology forecasting innovation pathways based on its convergence with other technologies.
Information and Methods: In this systematic review, by the future-oriented assessment of biotechnology innovation pathways, future biotechnology strategies were developed at the national level. All potential applications of the future innovation pathways of this technology were identified in the combination and convergence with nanotechnologies, information, and cognitive science and technology. The strength and weakness of the effects and barriers in all areas of biotechnology were considered in terms of the short-, mid-, and long-term; in the same timeframe, the barriers to these technologies were identified in the field of combined dual technologies and ultimately for biotechnology itself, and future strategies for biotechnology were proposed based on 4 strategies, including ignorance, investment, exploitation, and opportunism.
Findings: In the field of biotechnology- information technology- in the mid-term, the greatest impact was on improving the quality of human life, improving social outcomes, and increasing the level of innovation, and in the field of biotechnology- nanotechnology and biotechnology- cognitive science on improving the quality of human life, increasing security and defending power, and improving the positive social consequences.
Conclusion: The highest number of applications is the mid-term. The "exploitation" strategy should be used in biotechnology- cognitive science and biotechnology- nanotechnology, respectively. The "investment" strategy should be the most widely used in the common areas of biology with information technology. In the common areas of biotechnology with nanotechnology and cognitive sciences, the most application is the “opportunism" strategy.
Full-Text [PDF 627 kb]   (905 Downloads)    
Article Type: Research Paper | Subject: Agricultural Biotechnology
Received: 2018/02/13 | Accepted: 2018/02/19 | Published: 2018/03/20

1. Ahmadian AA, Haji Hosseni H, Baradaran MS. Techno-entrepreneurship in biotechnology: Introduction. J Ind Technol Dev. 2013;10(20):5-18. [Persian] [Link]
2. Hine D, Griffiths A. The impact of market forces on the sustainability of the biotechnology industry. Int J Entrep Innov Manag. 2004;4(2-3):138-49. [Link] [DOI:10.1504/IJEIM.2004.004721]
3. Hine D, Kapeleris J. Innovation and entrepreneurship in biotechnology, an international perspective: Concepts, theories and cases. Cheltenham: Edward Elgar Publishing; 2006. pp. 60-82. [Link] [DOI:10.4337/9781845428853]
4. Oakey RP. Technical entrepreneurship in high technology small firms: some observations on the implications for management. Technov, 2003;23(8):679-88. [Link] [DOI:10.1016/S0166-4972(03)00045-2]
5. Roco MC, Bainbridge WS, editors. Converging technologies for improving human performance: Nanotechnology, biotechnology, information technology and cognitive science. Dordrecht: Springer; 2003. [Link] [DOI:10.1007/978-94-017-0359-8]
6. Miao H, Qin L, Huang L. Status and prospect on converging technology: Technology management perspective. The 19th International Conference on Industrial Engineering and Engineering Management. Heidelberg: Springer; 2013. pp. 545-52. [Link]
7. Segerstrale U. Wilson and the unification of science. Ann N Y Acad Sci. 2006;1093:46-73. [Link] [DOI:10.1196/annals.1382.004]
8. Paya A, Kalantari Nezhad R. Socio cultural impacts of the fourth wave of scientific & technological development. Tehran: National Science Policy Research Center; 2011. [Persian] [Link]
9. Cai S., The age of synthesis: From cognitive science to converging technologies and hereafter. Chin Sci Bull. 2011;56(6):465-75. [Link] [DOI:10.1007/s11434-010-4005-7]
10. Johnston R, Cagnin C. The influence of future-oriented technology analysis: Addressing the Cassandra challenge. Futures. 2011;43(3):313-6. [Link] [DOI:10.1016/j.futures.2010.11.008]
11. Scapolo F. New horizons and challenges for future-oriented technology analysis - the 2004 EU-US seminar. Technol Forecast Soc Change. 2005;72(9):1059-63. [Link] [DOI:10.1016/j.techfore.2005.02.002]
12. Schaper-Rinkel P. The role of future-oriented technology analysis in the governance of emerging technologies: The example of nanotechnology. Technol Forecast Soc Change. 2013;80(3):444-52. [Link] [DOI:10.1016/j.techfore.2012.10.007]
13. Robinson DKR, Huang L, Guo Y, Porter AL. Forecasting Innovation Pathways (FIP) for new and emerging science and technologies. Technol Forecast Soc Change. 2013;80(2):267-85. [Link] [DOI:10.1016/j.techfore.2011.06.004]
14. Ghazy Noori S. Tecnology assessment, strategic policy inteligance. Tehran: New Industries Center; 2004. [Persian] [Link]
15. Coates JF. Technology assessment as guidance to governmental management of new technologies in developing countries. Technol Forecast Soc Change. 1998;58(1-2):35-46. [Link] [DOI:10.1016/S0040-1625(97)00087-5]
16. Koivisto R, Wessberg N, Eerola A, Ahlqvist T, Kivisaari S, Myllyoja J, et al. Integrating future-oriented technology analysis and risk assessment methodologies. Technol Forecast Soc Change. 2009;76(9):1163-76. [Link] [DOI:10.1016/j.techfore.2009.07.012]
17. Roco MC, Bainbridge WS, Tonn B, Whitesides G, editors. Convergence of knowledge, technology and society. Dordrecht: Springer; 2013. 20- Silberglitt R, Anton PS, Howell DR, Wong A, Gassman N, Jackson BA, et al. The global technology revolution 2020, in-depth analyses: Bio/nano/materials/information trends, drivers, barriers, and social implications. Santa Monica: Rand Corporation; 2006. 27- National Research Council. Implications of emerging micro and nanotechnology. Washington, DC: The National Academies Press; 2002. 31- Roco MC. The emergence and policy implications of converging new technologies integrated from the nanoscale. J Nanopart Res. 2005;7(2-3):129-43. [Link] [DOI:10.1007/978-3-319-02204-8]
18. Canton J. Designing the future: NBIC technologies and human performance enhancement. Ann N Y Acad Sci. 2004;1013:186-98. [Link] [DOI:10.1196/annals.1305.010]
19. Montemagno CD. Integrative technology for the twenty-first century. Ann N Y Acad Sci. 2004;1013(1):38-49. [Link] [DOI:10.1196/annals.1305.004]
20. Bond PJ. Vision for converging technologies and future society. Ann N Y Acad Sci. 2004;1013(1):17-24. [Link] [DOI:10.1196/annals.1305.002]
21. Gorman ME. Collaborating on convergent technologies: Education and practice. Ann N Y Acad Sci. 2004;1013:25-37. [Link] [DOI:10.1196/annals.1305.003]
22. Pichierri F. Signal‐transducing proteins for nanoelectronics. Ann N Y Acad Sci. 2006;1093:98-107. [Link] [DOI:10.1196/annals.1382.007]
23. Spoherer JC, Engelbart DC. Converging technologies for enhancing human performance: Science and business perspectives. Ann N Y Acad Sci. 2004;1013:50-82. [Link] [DOI:10.1196/annals.1305.005]
24. Ghazinoory S, Hajishirzi R. Using actor-network theory to identify the role of IT in cognitive science in Iran. Procedia Soc Behav Sci. 2012;32:153-62. [Link] [DOI:10.1016/j.sbspro.2012.01.025]
25. Chen JM, Ho CM. Path to bio‐nano‐information fusion. Ann N Y Acad Sci. 2006;1093:123-42. [Link] [DOI:10.1196/annals.1382.009]
26. Hochella MF Jr.The case for nanogeoscience. Ann N Y Acad Sci. 2006;1093:108-22. [Link] [DOI:10.1196/annals.1382.008]
27. Roco MC. Science and technology integration for increased human potential and societal outcomes. Ann N Y Acad Sci. 2004;1013:1-16. [Link] [DOI:10.1196/annals.1305.001]
28. Roco MC. Progress in governance of converging technologies integrated from the nanoscale. Ann N Y Acad Sci. 2006;1093:1-23. [Link] [DOI:10.1196/annals.1382.002]
29. Roco MC. Possibilities for global governance of converging technologies. J Nanopart Res. 2008;10(1):11-29. [Link] [DOI:10.1007/s11051-007-9269-8]
30. Roco MC. Progress in governance of converging technologies integrated from the nanoscale. Ann N Y Acad Sci. 2006;1093:1-23. [Link] [DOI:10.1196/annals.1382.002]
31. Roco MC. The emergence and policy implications of converging new technologies integrated from the nanoscale. J Nanopart Res. 2005;7(2-3):129-43. [Link] [DOI:10.1007/s11051-005-3733-0]
32. Roco MC. Possibilities for global governance of converging technologies. J Nanopart Res. 2008;10(1):11-29. [Link] [DOI:10.1007/s11051-007-9269-8]

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