Data-Driven Innovation: What Is It?
Jianxi Luo
IEEE Transactions on Engineering Management, 70(2), 784-790, 2023
1. Data-Driven Innovation as a Process Paradigm
OECD, “Data-Driven Innovation for Growth and Well-Beings,” October 2015.
U.S. Chamber of Commerce Foundation, “The Future of Data-Driven Innovation,” 2014.
A. Rindfleisch, M. O'Hern, M. and V. Sachdev, “The digital revolution, 3D printing, and innovation as data,” J. Prod. Innov. Manag., vol. 34, no. 5, pp. 681-690, 2017.
D. Trabucchi, T. Buganza, “Data-driven innovation: switching the perspective on big data,” Euro. J. Innov. Manag., vol. 22, no. 1, pp. 23-40, 2019
A. Rizk, A. Stahlbrost, A. Elragal, “Data-driven innovation processes within federated networks,” Euro. J. Innov. Manag., early access.
J. Agarwal, S. Buckley, M. Van Hoey, J. Van Niel, R. Samek, K. Somers, I. Wells, “Adopting a smart data mindset in a world of big data,” McKinsey & Company, 2021. https://www.mckinsey.com/industries/metals-and-mining/our-insights/adopting-a-smart-data-mindset-in-a-world-of-big-data
E. Brynjolfsson, K. Mcelheran, “The rapid adoption of data-driven decision-making,” American Economic Review, vol. 106, no. 5, pp. 133-139, 2016.
S. Zillner, T. Becker, R. Munne, K. Hussain, S. Rusitschka, H. Lippell, E. Curry., A. Ojo, “Big Data-Driven Innovation in Industrial Sectors, In J.M. Cavanillas et al. (eds.), New Horizons for a Data-Driven Economy, 2016.
O. Hunnam, “Real life examples of true data driven innovation,” https://ideadrop.co/customer-success/examples-of-data-driven-innovation/
Y. Na, “Free of heavy metals, new battery design could alleviate environmental concerns. IBM Research Blog, December 18, 2019.
I. Cockburn, R. Henderson, S. Stern, “The impact of artificial intelligence on innovation,” Working paper 24449, National Bureau of Economic Research, 2018.
D. Lowe, “Another AI-Generated drug? Science Blogs, January 31, 2020. https://blogs.sciencemag.org/pipeline/archives/2020/01/31/another-ai-generated-drug
Y. Wang, L. Luo, H. Hao, “Bridging the semantic gap between customer needs and design specifications using user-generated content,” IEEE Transactions on Engineering Management, early access.
J. Luo, B. Yan, K. Wood, “InnoGPS for data-driven exploration of design opportunities and directions: the case of Google driverless car project,” J. Mech. Des., vol. 139, no. 11 (Special Issue on Data-Driven Design), pp. 111416, 2017.
J. Luo, S. Sarica, K. L. Wood, “Guiding data-driven design ideation by knowledge distance,” Knowledge-Based Systems, vol. 218, pp. 106873, 2021.
J.C. Trappey, C.V. Trappey, U.H. Govindarajan, J.H. Sun, “Patent value analysis using deep learning models—the case of IoT technology mining for the manufacturing industry,” IEEE Trans. on Eng. Manag., vol. 68, no. 5, pp. 1334-1346, 2021
J. Luo, “The united innovation process: Integrating science, design and entrepreneurship as subprocesses,” Design Science, vol. 1, e2, 2015
P. Sarkar, A. Chakrabarti, “Assessing design creativity,” Design Studies, vol. 32, no. 4, pp. 348–383, 2011
J. Han, H. Forbes, D. Schaefer, “An exploration of how creativity, functionality, and aesthetics are related in design,” Research in Engineering Design, vol. 32, pp. 289–307, 2021
H. Simon, “The Sciences of the Artificial (3rd Ed.), MIT Press, 1996
J. Luo, A. Olechowski, C. Magee, “Technology-based design and sustainable economic growth,” Technovation, vol. 34, no. 11, pp. 663–677, 2014
N. Crilly, F. Moroşanu, “Creativity and fixation in the real world: three case studies of invention, design and innovation,” Design Studies, vol. 64, pp. 169–212, 2019.
E.C. Canakoglu, S.S. Erzurumlu, Y.O. Erzurumlu, “How data-driven entrepreneur analyzes imperfect information for business opportunity evaluation,” IEEE Transactions on Engineering Management, early access.
S. Sarica, B. Song, J. Luo, K.L. Wood, “Idea generation with technology semantic network,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 35, no. 3, pp. 265-283, 2021.
N. Haefner, J. Wincent, V. Parida, O. Gassmann, “Artificial intelligence and innovation management: A review, framework, and research agenda,” Technol. Forecast. Soc. Change., vol. 162, pp. 120392, 2021.
A. Kusiak, “Innovation: A data-driven approach,” Int. J. Production Economics, vol. 122, pp. 440-448, 2009.
O. Sbai, M. Elhoseiny, A. Bordes, Y. LeCun, C. Couprie, “DesIGN: Design inspiration from generative networks,” In: Leal-Taixé L., Roth S. (eds) Computer Vision – ECCV 2018 Workshops, Lecture Notes in Computer Science, vol. 11131.
Q. Zhu, J. Luo, “Generative pre-trained transformer for design concept generation: an exploration,” arXiv:2111.08489v1 [cs.CL], November 2021.
B. Camburn, Y. He, S. Raviselvam, J. Luo, K. Wood, “Machine learning based design concept evaluation,” J. Mech. Des., vol. 142, no. 3, pp. 031113, 2020.
B. Jones, “The Burden of Knowledge and the “Death of the Renaissance Man”: Is Innovation Getting Harder?” Rev. Econ. Stud., vol. 76, pp. 283–317, 2009.
R. Kurzweil, “The Singularity Is Near: When Humans Transcend Biology,” New York: Penguin, 2006.
Daim, T., “The decade of technology intelligence,” IEEE Transactions on Engineering Management, vol. 67, no. 1., pp. 2-3, 2020.
P. Raccuglia, K. Elbert, P. Adler, C. Falk, M. Wenny, A. Mollo, M. Zeller, S.A. Friedler, J. Schrier, A. Norquist, “Machine-learning-assisted materials discovery using failed experiments,” Nature, vol. 533, pp. 73-76, 2016.
Y. He, C. Camburn, J. Luo, M. Yang, K.L. Wood, “Visual sensemaking of massive crowdsourced data for design ideation,” Proceedings of the Design Society: International Conference on Engineering Design, vol. 1, no. 1, pp. 409-418, 2019.
N. Rahman, T. Daim, N. Basoglu, “Exploring the factors influencing big data technology acceptance,” IEEE Transactions on Engineering Management, early access.
B. Song, N.F.S. Zurita, G. Zhang, G. Stump, C. Balon, S.W. Miller, M. Yukish, J. Cagan, C. McComb, “Toward hybrid teams: A platform to understand human-computer collaboration during the design of complex engineered systems,” Proceedings of the Design Society: DESIGN Conference, vol. 1, pp. 1551-1560, 2020
J. Hemerly, “Public Policy Considerations for Data-Driven Innovation,” Computer, vol. 46, no. 6, pp. 25-31., 2013.
OECD, “Data-Driven Innovation for Growth and Well-Being. What Implications for Governments and Businesses?” Directorate for Science, Technology and Innovation Policy Note, October 2015.