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Technology roadmapping architecture based on technological learning: Case study of social banking in Iran

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  • Ghazinoory, Sepehr
  • Dastranj, Nasrin
  • Saghafi, Fatemeh
  • Kulshreshtha, Arun
  • Hasanzadeh, Alireza

Abstract

Technology roadmapping is a planning tool that plays a key role in technology, innovation and R&D decisions in range of business, industry and national levels and shows the path for development of required skills. As technology development engine in late industrialized countries is technological learning rather than innovation, we observe that the considerations and requirements of technology development in developing countries have been neglected in current published literature on technology roadmaps. In this paper, by introducing technological learning as an appropriate analysis level for technology roadmapping in developing countries, the main components of technological learning including technological capabilities (TCs) and catch up strategy have been identified and efforts have been made to integrate these components in the ordinary technology roadmap architectures and thereby introduce an appropriate architecture for industries in developing countries. Finally to validate the proposed architecture, technology roadmapping is applied for social banking in Iran based on the architecture.

Suggested Citation

  • Ghazinoory, Sepehr & Dastranj, Nasrin & Saghafi, Fatemeh & Kulshreshtha, Arun & Hasanzadeh, Alireza, 2017. "Technology roadmapping architecture based on technological learning: Case study of social banking in Iran," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 231-242.
    • Handle: RePEc:eee:tefoso:v:122:y:2017:i:c:p:231-242
    DOI: 10.1016/j.techfore.2015.12.018
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    Cited by:

    1. 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).
    2. Sepasgozar, Samad M.E. & Hawken, Scott & Sargolzaei, Sharifeh & Foroozanfa, Mona, 2019. "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 105-116.
    3. Ghazinoory, Sepehr & Nasri, Shohreh & Ameri, Fatemeh & Montazer, Gholam Ali & Shayan, Ali, 2020. "Why do we need ‘Problem-oriented Innovation System (PIS)’ for solving macro-level societal problems?," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    4. Magistretti, Stefano & Dell'Era, Claudio & Verganti, Roberto, 2020. "Searching for the right application: A technology development review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. 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.
    6. 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).

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