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Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment

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  • Daim, Tugrul U.
  • Yoon, Byung-Sung
  • Lindenberg, John
  • Grizzi, Robert
  • Estep, Judith
  • Oliver, Terry

Abstract

This paper presents an application of a strategic technology management tool in the power sector. Technology Development Envelope is an extension of hierarchical decision modeling and Analytical Hierarchy Process into the future. The process yields multiple paths for technology development enabling organizations to build roadmaps depicting their strategies. The focus of this paper is robotics technologies and their applications in the power sector. As robotics technologies advance, they replace humans in very critical areas such as maintenance of transmission lines or hydro dams as well as operations in nuclear power plants. A decision model was developed and quantified through this study. It is validated with a case study from Electric Power Research Institute (EPRI) reflecting their priorities. The model establishes a framework that any other organization can adopt and use to evaluate any emerging robotics technologies.

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  • Daim, Tugrul U. & Yoon, Byung-Sung & Lindenberg, John & Grizzi, Robert & Estep, Judith & Oliver, Terry, 2018. "Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 49-66.
    • Handle: RePEc:eee:tefoso:v:131:y:2018:i:c:p:49-66
    DOI: 10.1016/j.techfore.2017.06.006
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    Cited by:

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    5. Kim, Junhan & Geum, Youngjung, 2021. "How to develop data-driven technology roadmaps:The integration of topic modeling and link prediction," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
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    7. Nazarenko, Anastasia & Vishnevskiy, Konstantin & Meissner, Dirk & Daim, Tugrul, 2022. "Applying digital technologies in technology roadmapping to overcome individual biased assessments," Technovation, Elsevier, vol. 110(C).
    8. Katarzyna Halicka, 2020. "Technology Selection Using the TOPSIS Method," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(1), pages 85-96.
    9. Marek Jemala, 2019. "Problematic Roadmapping for Companies in Less Developed Regions of Slovakia," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-26, December.
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    13. Parolin, Giácomo & McAloone, Tim C. & Pigosso, Daniela C.A., 2024. "How can technology assessment tools support sustainable innovation? A systematic literature review and synthesis," Technovation, Elsevier, vol. 129(C).
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    15. Chakraborty, Swagata & Nijssen, Edwin J. & Valkenburg, Rianne, 2022. "A systematic review of industry-level applications of technology roadmapping: Evaluation and design propositions for roadmapping practitioners," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    16. Sharma, Mahak & Sehrawat, Rajat & Daim, Tugrul & Shaygan, Amir, 2021. "Technology assessment: Enabling Blockchain in hospitality and tourism sectors," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    17. Kayabay, Kerem & Gökalp, Mert Onuralp & Gökalp, Ebru & Erhan Eren, P. & Koçyiğit, Altan, 2022. "Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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    19. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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