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External Technology Searching Methods - A Literature Review

Part of: Innovation Engineering

Published online by Cambridge University Press:  26 July 2019

Kate Alexandra Kujawa  and
Kristin Paetzold

Abstract

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This paper provides a preliminary assessment of the literature available in the field of External Technology Searching. Many methods exist to enable companies to take advantage of new technologies and apply them to achieve a competitive advantage. This literature review focuses on reducing complexity and providing clarity related to the numerous different terms and methodologies used throughout the literature. The main methods found in the literature include: Technology Foresight, Technology Forecasting, Technology Intelligence, and Technology Scouting. However, many additional terms have also been used to describe similar strategies, leading to inconsistency in the use of the terms, resulting in confusion and missed opportunities to innovate for those trying to navigate the field. Synthesis of the results assists in clarifying the differences and conflicts in the literature between the numerous terms. The results serve to display the state of the art on the field and present a basis for further research.

Keywords

InnovationOpen innovationTechnology ScoutingResearch methodologies and methodsTechnology Foresight
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2259 - 2268
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Blessing, L.T. and Chakrabarti, A. (2009), DRM, A Design Research Methodology (XVII ed.). Springer, London.Google Scholar
Chesbrough, H.W. (2003), Open innovation: The new imperative for creating and profiting from technology. Harvard Business School Press, Boston.Google Scholar
Cho, Y. and Daim, T. (2013), “Technology Forecasting Methods”, In: Daim, T., Oliver, T., Kim, J. Research and Technology Management in the Electricity Industry, Green Energy and Technology. Springer, London, pp. 67–112. https://doi.org/10.1007/978-1-4471-5097-8_4Google Scholar
Cuhls, K., et al. (2015), Models of Horizon Scanning: How to integrate Horizon Scanning into European Research and Innovation Policies. European Commission.Google Scholar
Daim, T., Oliver, T. and Kim, J. (2013), Research and Technology Management in the Electricity Industry. Springer London, London.Google Scholar
Dingler, A. and Enkel, E. (2016), “Cross-Industry Innovation”, In: Abele, T. (eds) Die frühe Phase des Innovationsprozesses, FOM-Edition (FOM Hochschule für Oekonomie & Management), Springer Gabler, Wiesbaden, pp. (109–122). http://doi.org/10.1007/978-3-658-09722-6_7Google Scholar
Dong, J. and Netten, J. (2017), “Information technology and external search in the open innovation age: New findings from Germany”, Technological Forecasting and Social Change, Vol. 120, pp. 223–231. https://doi.org/10.1016/j.techfore.2016.12.021Google Scholar
Douw, K., Vondeling, H. and Oortwijin, W. (2006), “Priority setting for horizon scanning of new health technologies in Denmark: Views of health care stakeholders and health economists.” Health Policy, Vol. 76 No. 3, pp. 334–345. https://doi.org/10.1016/j.healthpol.2005.06.016Google Scholar
Durst, C. and Durst, M. (2016), “Integriertes Innovationsmanagement - Vom Umfeldscanning zur Roadmap”, In: Abele, T. (eds) Die frühe Phase des Innovationsprozesses, FOM-Edition (FOM Hochschule für Oekonomie & Management), Springer Gabler, Wiesbaden, pp. 217–233. https://doi.org/10.1007/978-3-658-09722-6_12Google Scholar
Fink, A. (2005), Conducting research literature reviews, SAGE Publ, Thousand Oaks Calif. u.a.Google Scholar
Gudanowska, A. (2014), “Technology Mapping as a tool for Technology Analysis in Foresight Studies”, In: IEEE International Technology Management Conference. 12-15.06.2014, Chicago, USA. https://doi.org/10.1109/ITMC.2014.6918613Google Scholar
Gudanowska, A. (2016), “Technology Mapping - Proposal of a Method of Technology Analysis in Foresight Studies”, Business: Theory and Practice Vol. 17 No. 3, pp. 243–250. https://doi.org/10.3846/btp.2016.774Google Scholar
Haddad, M. (2014), “Technology Scouting: on the Trail of Hidden Innovators”, Paris Innovation Review, Available at: http://parisinnovationreview.com/articles-en/technology-scouting-on-the-trail-of-hidden-innovatorsGoogle Scholar
Halicka, K. (2017), “Main Concepts of Technology Analysis in the Light of the Literature on the Subject”, Procedia Engineering Vol. 182, pp. 291–298. https://doi.org/10.1016/j.proeng.2017.03.196Google Scholar
Honda, H., et al. (2017), “The difference in foresight using the scanning method between experts and non-experts”, Technological Forecasting and Social Change, Vol. 119, pp. 18–26. https://doi.org/10.1016/j.techfore.2017.03.005Google Scholar
Iden, J. Methlie, L.B. and Christensen, G.E. (2017), “The Nature of Strategic Foresight Research: A Systematic Literature Review”, Technology Forecasting and Social Change, Vol. 116, pp. 87–97. https://doi.org/10.1016/j.techfore.2006.10.001Google Scholar
Jackisch, U.V., Abele, T. and Yaman, Z. (2016), “Kompetenzbasierte Ideengenerierung”, In: Abele, T. (eds) Die frühe Phase des Innovationsprozesses, FOM-Edition (FOM Hochschule für Oekonomie & Management), Springer Gabler, Wiesbaden, pp. 123–142. https://doi.org/10.1007/978-3-658-09722-6-8Google Scholar
Kerr, C., Mortara, L., Phaal, R. and Probert, D. (2006), “A conceptual model for technology intelligence”, IJTIP 2. https://doi.org/10.1504/IJTIP.2006.010511Google Scholar
Kim, M., Park, Y. and Yoon, J., (2016), “Generating Patent Development Maps for Technology Monitoring using Semantic Patent-Topic Analysis”, Computers & Industrial Engineering, Vol. 98, pp. 289–299. https://doi.cir-mcs.e.corpintra.net/10.1016/j.cie.2016.06.006Google Scholar
Kujawa, K., et al. (2018), “Exploring and Adapt! - Extending the Adapt! Method to Develop Reconfigurable Manufacturing Systems”, International Conference on Axiomatic Design, Reykjavik, Iceland, Oct. 9-12, 2018. HU University of Applied Sciences, Ultrecht, the Netherlands.Google Scholar
Lee, J., Kim, C. and Shin, J. (2017), “Technology opportunity discovery to R&D planning: Key technological performance analysis.” Technological Forecasting and Social Change, Vol. 119, pp. 53–63. https://doi.cir-mcs.e.corpintra.net/10.1016/j.techfore.2017.03.011Google Scholar
Leker, J. and Song, C. h. (2014), “Die Prognose von Konvergenzentwicklungen zur Identifikation attraktiver Innovationsfelder.” In: Schultz, C. Motoren der Innovation, pp. 3–22. https://doi.org/10.1007/978-3-658-06135-7_1Google Scholar
Lichtenthaler, E. (2007), “Managing Technology Intelligence Processes in Situations of Radical Technology Change”, Technology Forecasting and Social Change, Vol. 74 No. 8, pp. 1109–1136. https://doi.org/10.1016/j.techfore.2006.10.001Google Scholar
Madani, F. and Khormaei, R. (2013), “Overview of Evolution in Study of External Technology Search”, In: Technology Management for Emerging Technologies (PICMET), 2013 Proceedings of PICMET'13. , pp. (2058–2060) San Jose, USA.Google Scholar
Park, Y. and Yoon, J. (2017), “Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering”, Technological Forecasting and Social Change, Vol. 118, pp. 170–183. https://doi.org/10.1016/j.techfore.2017.02.018Google Scholar
Porter, A.L. (2005), “QTIP: Quick technology intelligence processes”, Technological Forecasting and Social Change, Vol. 72, pp. 1070–1081.Google Scholar
Porter, A.L. and Cunningham, S.W. (2005), Tech Mining: Exploiting New Technologies for Competitive Advantage. John Wiley & Sons, Inc, Hoboken, NJ, USA. https://doi.org/10.1002/0471698466.ch10Google Scholar
Ricciardi, A., et al. (2017), “Invasian Science: A Horizon Scan of Emerging Challenges and Opportunities”, Trends in Ecology & Evolution, Vol. 32 No. 6, pp. 464–474. https://doi.org/10.1016/j.tree.2017.03.007Google Scholar
Rohrbeck, R., Heuer, J., Arnold, H. (2006), “The technology radar-an instrument of technology intelligence and innovation strategy.” Management of Innovation and Technology, 2006 IEEE International Conference on, Bd. 2. , S. 978–983.Google Scholar
Rohrbeck, R. (2007), “Technology Scouting-a case study on the Deutsche Telekom Laboratories”, ISPIM-Asia 2007 Conference, New Delhi, India, 9-12.01.2007.Google Scholar
Rohrbeck, R. (2013), “Trend Scanning, Scouting and Foresight Techniques”, In: Gassman, O., Schweitzer, F., Management of the Fuzzy Front End of Innovation, Springer, Cham, pp. 59–73. https://doi.org/10.1007/978-3-319-01056-4_5Google Scholar
Saviz, P. and Blum, P. (2002), “Strategic forecast tool for SMEs: how the opportunity landscape interacts with business strategy to anticipate technological trends”, Technovation, Vol. 22, pp. 91–100. Elsevier https://doi.org/10.1016/S0166-4972(01)00082-7Google Scholar
Schilling, M.A. and Esmundo, M. (2009), “Technology S-curves in renewable energy alternatives: Analysis and implications for industry and government”, Energy Policy, Vol. 37 No. 5, pp. 1767–1781. https://doi.org/10.1016/j.enpol.2009.01.004Google Scholar
Thom, N. (2010), “Methods and tools of corporate technology foresight”, In: Problemy Eksploatacji, pp. 57–68. https://doi.org/10.1007/978-3-658-09722-6Google Scholar
Trend Update (2012), Synnovation - Die Zukunft der Innovation zwischen inszenierter Störung und gesteuertem Zufall. Ausgabe 04/2012.Google Scholar
Tschirky, H. (1998), “Konzept und Aufgaben des Integrierten Technologie-Management”, In Technologiemanagement: Idee und Praxis. Verlag Industrielle Organisation, Zurich.Google Scholar
Wang, C., Chang, C. and Shen, G. (2015), “The Effect of Inbound Open Innovation on Firm Performance:Evidence from High-Tech Industry”, Technological Forecasting and Social Change Vol. 99, pp. 222–230. https://doi.cir-mcs.e.corpintra.net/10.1016/j.techfore.2015.07.006Google Scholar
Webster, J. and Watson, R.T. (2002), Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, Vol. 26 No. 2, pp. xiii–xxiii.Google Scholar
Yan, C. and Cai, N. (2011), “The Synergy between Technology Scouting and Open Innovation.” 2011 International Conference on Management and Service Science, , Wuhan, China. https://doi.org/10.1109/ICMSS.2011.5997920Google Scholar