IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p9058-d1163350.html
   My bibliography  Save this article

Assessing the Content Quality of Industry Technology Roadmaps

Author

Listed:
  • Si-Nuo Li

    (Office of Strategic Planning and Development, Southern University of Science and Technology, Shenzhen 518055, China
    Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR, China)

  • Yi Li

    (Department of Materials, The University of Manchester, Manchester M13 9PL, UK)

  • Winnie Yu

    (Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR, China)

Abstract

An industry technology roadmap (hereafter ITRM) is a strategic planning tool to predict the technologies and innovations demanded by the future market, allowing the industry to leverage capital and other investments in a range of alternative technologies and achieve sustainable development. To date, ITRM has been adopted by various global organizations in different industries; however, the majority of research has focused on roadmapping techniques only. Although success factors have been mentioned in some of the literature, little work has been conducted to assess the success of any ITRM. This research, therefore, developed an assessment model, including a theoretical and knowledge framework, assessment methods, and quantitative indices, to systematically assess the contents of an ITRM. We then used it to assess four global textile ITRMs. The assessment results led us to recommend five success factors of an effective ITRM: (1) methodological industry technology roadmapping; (2) a multi-organizational background; (3) systematic presentation of ITRM contents; (4) balanced contents for market and technology forces; and (5) appropriate databases. Compared with the success factors proposed in the previous literature, these five success factors are more practical for roadmap content construction.

Suggested Citation

  • Si-Nuo Li & Yi Li & Winnie Yu, 2023. "Assessing the Content Quality of Industry Technology Roadmaps," Sustainability, MDPI, vol. 15(11), pages 1-22, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9058-:d:1163350
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/9058/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/9058/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
    2. Lee, Seong Kon & Mogi, Gento & Kim, Jong Wook, 2009. "Energy technology roadmap for the next 10 years: The case of Korea," Energy Policy, Elsevier, vol. 37(2), pages 588-596, February.
    3. Carvalho, M.M. & Fleury, André & Lopes, Ana Paula, 2013. "An overview of the literature on technology roadmapping (TRM): Contributions and trends," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1418-1437.
    4. Bela Pataki & Zsuzsanna Szalkai & Szilvia Biro-Szigeti, 2011. "Some Methodological Issues Of Technology Roadmapping Experienced During Consultancy," Perspectives of Innovation in Economics and Business (PIEB), Prague Development Center, vol. 9(3), pages 12-16, August.
    5. Lee, Jung Hoon & Kim, Hyung-il & Phaal, Robert, 2012. "An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 263-280.
    6. Pataki, Bela & Szalkai, Zsuzsanna & Biro-Szigeti, Szilvia, 2011. "Some methodological issues of technology roadmapping experienced during consultancy," Perspectives of Innovations, Economics and Business (PIEB), Prague Development Center (PRADEC), vol. 9(3), pages 1-5, November.
    7. Ronald S. Vatananan & Nathasit Gerdsri, 2012. "The Current State Of Technology Roadmapping (Trm) Research And Practice," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 1-20.
    8. Jeffrey, Henry & Sedgwick, Jonathan & Robinson, Charles, 2013. "Technology roadmaps: An evaluation of their success in the renewable energy sector," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 1015-1027.
    Full references (including those not matched with items on IDEAS)

    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. Martina Flatscher & Andreas Riel, 2015. "Innovation Driver New Production Technologies: Strategic Planning using Technology Roadmapping," Post-Print hal-01980540, HAL.
    2. de Alcantara, Douglas Pedro & Martens, Mauro Luiz, 2019. "Technology Roadmapping (TRM): a systematic review of the literature focusing on models," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 127-138.
    3. Chi-Yo Huang & Jih-Jeng Huang & You-Ning Chang & Yen-Chu Lin, 2021. "A Fuzzy-MOP-Based Competence Set Expansion Method for Technology Roadmap Definitions," Mathematics, MDPI, vol. 9(2), pages 1-26, January.
    4. Hansen, Christoph & Daim, Tugrul & Ernst, Horst & Herstatt, Cornelius, 2016. "The future of rail automation: A scenario-based technology roadmap for the rail automation market," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 196-212.
    5. Gomes, Leonardo Augusto de Vasconcelos & Fleury, André Leme & Oliveira, Maicon Gouvêa de & Facin, Ana Lucia Figueiredo, 2021. "Ecosystem policy roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. 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.
    7. Yuya Mitake & Kenshiro Hiramitsu & Yusuke Tsutsui & Mar’atus Sholihah & Yoshiki Shimomura, 2020. "A Strategic Planning Method to Guide Product—Service System Development and Implementation," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    8. 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).
    9. 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).
    10. Hoshdar, Fatemeh & Ghazinoory, Sepehr & Arasti, Mohammadreza & Fassihi, S. Farhang, 2017. "Technology planning system for the Iranian petroleum industry: Lessons learned from sanctions," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 170-178.
    11. Namrata Sandhu, 2019. "Fueling Gender Stereotypes: A Content Analysis of Automobile Advertisements," Business Perspectives and Research, , vol. 7(2), pages 163-178, July.
    12. Chiara Mauri & Angelo Di Gregorio & Alice Mazzucchelli & Isabella Maggioni, 2017. "The employability of marketing graduates in the era of digitalisation and globalisation," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(4), pages 103-124.
    13. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    14. Spaniol, Matthew J. & Rowland, Nicholas J., 2022. "Business ecosystems and the view from the future: The use of corporate foresight by stakeholders of the Ro-Ro shipping ecosystem in the Baltic Sea Region," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    15. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    16. Cherepovitsyn, Alexey & Solovyova, Victoria & Dmitrieva, Diana, 2023. "New challenges for the sustainable development of the rare-earth metals sector in Russia: Transforming industrial policies," Resources Policy, Elsevier, vol. 81(C).
    17. Potstada, Michael & Parandian, Alireza & Robinson, Douglas K.R. & Zybura, Jan, 2016. "An alignment approach for an industry in the making: DIGINOVA and the case of digital fabrication," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 182-192.
    18. Parijat Chakrabarti & Margaret Frye, 2017. "A mixed-methods framework for analyzing text data: Integrating computational techniques with qualitative methods in demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(42), pages 1351-1382.
    19. Tony Cooper & Constantino Stavros & Angela R. Dobele, 2019. "The levers of engagement: an exploration of governance in an online brand community," Journal of Brand Management, Palgrave Macmillan, vol. 26(3), pages 240-254, May.
    20. Lei Du & Yingbin Feng & Li Yaning Tang & Wei Kang & Wei Lu, 2020. "Networks in disaster emergency management: a systematic review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1-27, August.

    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:gam:jsusta:v:15:y:2023:i:11:p:9058-:d:1163350. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.