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Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030
Open accessAbstract
Additive manufacturing (colloquially: 3D printing) is a highly discussed topic. Previous research has argued that this technology not only has profound effects on manufacturing businesses but also on society, which demands new corporate strategies and policies alike. Thus, the development of reliable future scenarios is key for strategic planning and decision making as well as for future research. Dedicated academic studies in this field remain scarce. We present the results of an extensive Delphi survey on the future of additive manufacturing with a focus on its economic and societal implications in 2030. Via an initial round of extensive qualitative interviews and a Delphi-based analysis of 3510 quantitative estimations and 1172 qualitative comments from 65 experts, we were able to develop and validate 18 projections that were then clustered into a scenario for the most probable future. The scenario is built on the six Delphi projections with the highest consensus on the likelihood of occurrence. We complement this most probable scenario with a discussion on controversial, extreme scenarios. Based on these findings we derive implications for industry, policy, and future research.
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Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
A global sustainability perspective on 3D printing technologies
Gebler, M., Schoot Uiterkamp, A. J. M., & Visser, C. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.08.033 · Cited by 950
Cited by
Normal Bone Anatomy and Physiology
Clarke, B. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.04151206 · Cited by 2,192
Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0
Müller, J. M., Buliga, O., & Voigt, K.-I. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.019 · Cited by 1,262
González-Henríquez, C. M., Sarabia-Vallejos, M. A., & Rodriguez-Hernandez, J. (2019) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2019.03.001 · Cited by 562
Defining and assessing industry 4.0 maturity levels – case of the defence sector
Bibby, L., & Dehe, B. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1503355 · Cited by 417
Brem, A., Viardot, E., & Nylund, P. A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120451 · Cited by 389
Metadata
- Authors
- Jiang, R., Kleer, R., & Piller, F. T.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 117
- Pages
- 84-97
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2579744858
- Cited by
- 480
- References
- 2
- FWCI
- 35.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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