Open Access
| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 10 | |
| Section | Economic Innovation and Talent Development Technology | |
| DOI | https://doi.org/10.1051/shsconf/202317002013 | |
| Published online | 14 June 2023 | |
- Lee J., Bagheri B., Kao H. A. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems[J]. Manufacturing Letters, 2015, 3:18-23. DOI: 10.1016/j.mfglet.2014.12.001 [CrossRef] [Google Scholar]
- Curran C. S., Bring S., Leker J. Anticipating converging industries using publicly available data[J]. Technological Forecasting & Social Change, 2010, 77(3):385–395. DOI: 10.1016/j.techfore.2009.10.002 [CrossRef] [Google Scholar]
- Jason Dedrick, et al. “Information Technology and Productivity in Developed and Developing Countries.” Journal of Management Information Systems 30.1(2013). DOI: 10.2753/MIS0742-1222300103. [Google Scholar]
- Lee S., Xiang J. Y., Kim J. K. Information technology and productivity: Empirical evidence from the Chinese electronics industry[J]. Information & Management, 2011, 48(2-3):79-87. DOI: 10.1016/j.im.2011.01.003 [CrossRef] [Google Scholar]
- Lu J., Liu S., Cui L., et al. Crowd wisdom drives intelligent manufacturing[J]. International Journal of Crowd Science, 2017, 1(1):39–47. DOI: 10.1108/IJCS-01-2017-0002 [CrossRef] [Google Scholar]
- Kutin A., Dolgov V., Sedykh M. Information Links between Product Life Cycles and Production System Management in Designing of Digital Manufacturing[J]. Procedia CIRP, 2016, 41:423-426. DOI: 10.1016/j.procir.2015.12.126 [CrossRef] [Google Scholar]
- Helu M., Hedberg T. Enabling Smart Manufacturing Research and Development using a Product Lifecycle Test Bed[J]. Procedia Manufacturing, 2015, 1:86-97. DOI: 10.1016/j.promfg.2015.09.066 [CrossRef] [Google Scholar]
- Winne S. D., Sels L. Interrelationships between human capital, HRM and innovation in Belgian startups aiming at an innovation strategy[J]. International Journal of Human Resource Management, 2010, 21(11):1863–1883. DOI: 10.1080/09585192.2010.505088 [CrossRef] [Google Scholar]
- Kleis L., Ramirez R. V. Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity[J]. Information Systems Research, 2012, 23(1). DOI: 10.2307/23207871 [Google Scholar]
- Sambit, Lenka, Vinit, et al. Digitalization Capabilities as Enablers of Value Co-Creation in Servitizing Firms[J]. Psychology & Marketing, 2017. DOI: 10.1002/mar.20975 [Google Scholar]
- Bo-Hu L. I., Hou B. C., Wen-Tao Y. U., et al. Applications of artificial intelligence in intelligent manufacturing: a review[J]. Frontiers in Information and Electronic Engineering, 2017. DOI: 10.1631/FITEE.1601885 [Google Scholar]
- Bortolini M., Galizia F. G., Mora C. Reconfigurable manufacturing systems: Literature review and research trend[J]. Journal of Manufacturing Systems, 2018, 49:93-106. DOI: 10.1016/j.jmsy.2018.09.005 [CrossRef] [Google Scholar]
- S. Grüner, Weber P., Wagner C., et al. Equipment Interconnection Models in Discrete Manufacturing[J]. Ifac Papersonline, 2015, 48(1):928–929. DOI: 10.1016/j.ifacol.2015.05.186 [CrossRef] [Google Scholar]
- Cagnin C., T. Könnölä. Global foresight: Lessons from a scenario and roadmapping exercise on manufacturing systems[J]. Futures, 2014, 59. DOI: 10.1016/j.futures.2014.01.007 [Google Scholar]
- Lincoln N. D., Travers C., Ackers P., et al. The Meaning of Empowerment: the interdisciplinary etymology of a new management concept[J]. International Journal of Management Reviews, 2010, 4(3). DOI: 10.1111/1468-2370.00087 [Google Scholar]
- Ying W., Jia S., Du W. Digital enablement of blockchain: Evidence from HNA group[J]. International Journal of Information Management, 2018, 39(APR.):1-4. DOI: 10.1016/j.ijinfomgt.2017.10.004 [CrossRef] [Google Scholar]
- Kusiak A. Smart manufacturing must embrace big data[J]. Nature, 2017, 544(7648):23–25. DOI: 10.1038/544023a [CrossRef] [Google Scholar]
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