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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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    8. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    9. Garza Ramos, Alejandro & Daim, Tugrul & Gaats, Lukas & Hutmacher, Dietmar W. & Hackenberger, David, 2022. "Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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    12. 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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    14. Carayannis, Elias G. & Ferreira, João J.M. & Jalali, Marjan S. & Ferreira, Fernando A.F., 2018. "MCDA in knowledge-based economies: Methodological developments and real world applications," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 1-3.
    15. 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).
    16. Park, Hyunkyu & Phaal, Rob & Ho, Jae-Yun & O'Sullivan, Eoin, 2020. "Twenty years of technology and strategic roadmapping research: A school of thought perspective," Technological Forecasting and Social Change, Elsevier, vol. 154(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).
    18. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    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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