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Technology assessment with IF-TOPSIS: An application in the advanced underwater system sector

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  • Aloini, Davide
  • Dulmin, Riccardo
  • Mininno, Valeria
  • Pellegrini, Luisa
  • Farina, Giulia

Abstract

Technologies are pivotal for firms' success, but also resource consuming. Therefore, managers have to assess and select technologies carefully in order to allocate resources on the most promising ones, grounding their decisions on adequate sets of criteria on which experienced people can express their opinion.

Suggested Citation

  • Aloini, Davide & Dulmin, Riccardo & Mininno, Valeria & Pellegrini, Luisa & Farina, Giulia, 2018. "Technology assessment with IF-TOPSIS: An application in the advanced underwater system sector," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 38-48.
    • Handle: RePEc:eee:tefoso:v:131:y:2018:i:c:p:38-48
    DOI: 10.1016/j.techfore.2017.07.010
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    Cited by:

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    2. Wang, Xu & Fang, Hong & Fang, Siran, 2020. "An integrated approach for exploitation block selection of shale gas—based on cloud model and grey relational analysis," Resources Policy, Elsevier, vol. 68(C).
    3. 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.
    4. Lowe, David C. & Justham, Laura & Everitt, Mark J., 2024. "Multi-index analysis with readiness levels for decision support in product design," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    5. Bilgili, Faik & Zarali, Fulya & Ilgün, Miraç Fatih & Dumrul, Cüneyt & Dumrul, Yasemin, 2022. "The evaluation of renewable energy alternatives for sustainable development in Turkey using ‌intuitionistic‌ ‌fuzzy‌-TOPSIS method," Renewable Energy, Elsevier, vol. 189(C), pages 1443-1458.
    6. 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.
    7. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    8. Li, Munan & Porter, Alan L. & Suominen, Arho & Burmaoglu, Serhat & Carley, Stephen, 2021. "An exploratory perspective to measure the emergence degree for a specific technology based on the philosophy of swarm intelligence," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

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