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Science and technology roadmaps
Abstract
Science and technology (S&T) roadmaps are used in industry, government and academia to portray the structural relationships among science, technology, and applications. Roadmaps are employed as decision aids to improve coordination of activities and resources in increasingly complex and uncertain environments. Specific uses of roadmaps include: S&T management including strategy, planning, executing, reviewing, and transitioning; S&T marketing; enhancing communications among researchers, technologists, product managers, suppliers, users, and other stakeholders; identifying gaps and opportunities in S&T programs; and identifying obstacles to rapid and low-cost product development. S&T managers also use roadmaps to help identify those S&T areas that have high potential promise, and to accelerate the transfer of the S&T to eventual products. However, there has been little attention paid to the practice of roadmapping in the published literature. This paper is a first attempt to bring some common definition to roadmapping practices and display the underlying unity of seemingly fragmented roadmap approaches. The paper begins with generic roadmap definitions, including a taxonomy of roadmaps that attempts to better classify and unify the broad spectrum of roadmap objectives and uses. Characteristics of retrospective and prospective roadmaps are then identified and analyzed, as well as summary characteristics of bibliometric-based S&T mapping techniques. The roadmap construction process, including fundamental principles for constructing high-quality roadmaps, is presented in detail.
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Cited by
An overview of the literature on technology roadmapping (TRM): Contributions and trends
Carvalho, M. M., Fleury, A., & Lopes, A. P. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2012.11.008 · Cited by 477
Grover, P., Kar, A. K., & Dwivedi, Y. K. (2022) · Annals of Operations Research · doi:10.1007/s10479-020-03683-9 · Cited by 419
Challenges for land system science
Rounsevell, M. D. A., Pedroli, B., Erb, K.-H., Gramberger, M., Busck, A. G., Haberl, H., Kristensen, S., Kuemmerle, T., Lavorel, S., Lindner, M., et al. (2012) · Land Use Policy · doi:10.1016/j.landusepol.2012.01.007 · Cited by 393
30 years of intelligence models in management and business: A bibliometric review
López-Robles, J. R., Otegi-Olaso, J. R., Porto Gómez, I., & Cobo, M. J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.013 · Cited by 268
Roadmapping towards sustainability proficiency in engineering education
Rodriguez-Andara, A., Río-Belver, R. M., Rodríguez-Salvador, M., & Lezama-Nicolás, R. (2018) · International Journal of Sustainability in Higher Education · doi:10.1108/ijshe-06-2017-0079 · Cited by 40
Metadata
- Authors
- Kostoff, R. N., & Schaller, R. R.
- Venue
- IEEE Transactions on Engineering Management
- Published
- 2001-05
- Volume
- 48
- Issue
- 2
- Pages
- 132-143
- ISSN
- 0018-9391 (ISSN-L)
- OpenAlex
- W1997797506
- Cited by
- 691
- References
- 0
- FWCI
- 90.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kostoff, R. N., & Schaller, R. R. (2001). Science and technology roadmaps. IEEE Transactions on Engineering Management. https://doi.org/10.1109/17.922473
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.