IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v34y2012i1p94-105.html
   My bibliography  Save this article

Technology roadmap development process (TRDP) for the service sector: A conceptual framework

Author

Listed:
  • Martin, Hilary
  • Daim, Tugrul U.

Abstract

This paper provides a decision making framework for development of technology roadmaps by integrating emerging technology intelligence with established decision making and product development methods. This paper integrates the following methods: technology mining, analytic hierarchy process, and technology roadmapping Specifically the emphasis is pointed towards service industry where research has indicated major differences exist when compared to the manufacturing industries. The framework is detailed in the paper providing a platform for practitioners to adopt for their own decisions to make and for researchers to expand by applying it to different service industries.

Suggested Citation

  • Martin, Hilary & Daim, Tugrul U., 2012. "Technology roadmap development process (TRDP) for the service sector: A conceptual framework," Technology in Society, Elsevier, vol. 34(1), pages 94-105.
    • Handle: RePEc:eee:teinso:v:34:y:2012:i:1:p:94-105
    DOI: 10.1016/j.techsoc.2012.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X12000048
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2012.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martin S. Meyer, 2001. "Patent citation analysis in a novel field of technology:An exploration of nano-science and nano-technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 163-183, April.
    2. M.R. Nava & Tugrul U. Daim, 2007. "Evaluating alternative fuels in USA: a proposed forecasting framework using AHP and scenarios," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 7(4), pages 289-313.
    3. Fattori, Michele & Pedrazzi, Giorgio & Turra, Roberta, 2003. "Text mining applied to patent mapping: a practical business case," World Patent Information, Elsevier, vol. 25(4), pages 335-342, December.
    4. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    5. Kostoff, R.N. & Tshiteya, R. & Pfeil, K.M. & Humenik, J.A. & Karypis, G., 2005. "Power source roadmaps using bibliometrics and database tomography," Energy, Elsevier, vol. 30(5), pages 709-730.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iñaki Bildosola & Pilar Gonzalez & Paz Moral, 2017. "An approach for modelling and forecasting research activity related to an emerging technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 557-572, July.
    2. 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).
    3. 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.
    4. Lyubov Y. Matich, 2017. "Roadmaps as a Tool for Modeling Complex Systems," HSE Working papers WP BRP 73/STI/2017, National Research University Higher School of Economics.
    5. Marek Jemala & Ľubomír Jemala, 2014. "Key Sub-Disciplines and Methods of Technology Planning in Dynamic Environments," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(2), pages 71-84.
    6. Cho, Yonghee & Yoon, Seong-Pil & Kim, Karp-Soo, 2016. "An industrial technology roadmap for supporting public R&D planning," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 1-12.
    7. Christian Ulrich & Benjamin Frieske & Stephan A. Schmid & Horst E. Friedrich, 2022. "Monitoring and Forecasting of Key Functions and Technologies for Automated Driving," Forecasting, MDPI, vol. 4(2), pages 1-24, May.
    8. Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
    9. Unutmaz Durmuşoğlu, Zeynep Didem, 2018. "Assessment of techno-entrepreneurship projects by using Analytical Hierarchy Process (AHP)," Technology in Society, Elsevier, vol. 54(C), pages 41-46.
    10. Yuskevich, Ilya & Smirnova, Ksenia & Vingerhoeds, Rob & Golkar, Alessandro, 2021. "Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    2. Tsita, Katerina G. & Pilavachi, Petros A., 2013. "Evaluation of next generation biomass derived fuels for the transport sector," Energy Policy, Elsevier, vol. 62(C), pages 443-455.
    3. Goio Etxebarria & Mikel Gomez-Uranga & Jon Barrutia, 2012. "Tendencies in scientific output on carbon nanotubes and graphene in global centers of excellence for nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 253-268, April.
    4. Nina Almasifar & Tülay Özdemir Canbolat & Milad Akhavan & Roberto Alonso González-Lezcano, 2021. "Proposing a New Methodology for Monument Conservation “SCOPE MANAGEMENT” by the Use of an Analytic Hierarchy Process Project Management Institute System and the ICOMOS Burra Charter," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    5. Curci, Ylenia & Mongeau Ospina, Christian A., 2016. "Investigating biofuels through network analysis," Energy Policy, Elsevier, vol. 97(C), pages 60-72.
    6. Sushil, 2019. "Efficient interpretive ranking process incorporating implicit and transitive dominance relationships," Annals of Operations Research, Springer, vol. 283(1), pages 1489-1516, December.
    7. Wang, Ying-Ming & Elhag, Taha M.S., 2007. "A goal programming method for obtaining interval weights from an interval comparison matrix," European Journal of Operational Research, Elsevier, vol. 177(1), pages 458-471, February.
    8. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    9. Lim, Chulmin & Rowsell, Joe & Kim, Seongcheol, 2023. "Exploring the killer domains to create new value: A Comparative case study of Canadian and Korean telcos," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277998, International Telecommunications Society (ITS).
    10. Wenshuai Wu & Gang Kou, 2016. "A group consensus model for evaluating real estate investment alternatives," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-10, December.
    11. Rubio-Aliaga, Alvaro & García-Cascales, M. Socorro & Sánchez-Lozano, Juan Miguel & Molina-Garcia, Angel, 2021. "MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example," Renewable Energy, Elsevier, vol. 163(C), pages 213-224.
    12. Zhu, Bin & Xu, Zeshui, 2014. "Stochastic preference analysis in numerical preference relations," European Journal of Operational Research, Elsevier, vol. 237(2), pages 628-633.
    13. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    14. Jing Xu & Ren Zhang & Yangjun Wang & Hengqian Yan & Quanhong Liu & Yutong Guo & Yongcun Ren, 2022. "A New Framework for Assessment of Offshore Wind Farm Location," Energies, MDPI, vol. 15(18), pages 1-17, September.
    15. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.
    16. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    17. M Tavana & M A Sodenkamp, 2010. "A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy Space Center," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1459-1470, October.
    18. Ying Huang & Donghua Zhu & Yue Qian & Yi Zhang & Alan L. Porter & Yuqin Liu & Ying Guo, 2017. "A hybrid method to trace technology evolution pathways: a case study of 3D printing," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 185-204, April.
    19. Shiyao Zhu & Dezhi Li & Haibo Feng & Tiantian Gu & Jiawei Zhu, 2019. "AHP-TOPSIS-Based Evaluation of the Relative Performance of Multiple Neighborhood Renewal Projects: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    20. Jingya Qiao & Mo Wang & Dongqing Zhang & Chenyang Ding & Jingjing Wang & Dawei Xu, 2017. "Synergetic Development Assessment of Urban River System Landscapes," Sustainability, MDPI, vol. 9(12), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:34:y:2012:i:1:p:94-105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.