Open Access
| Issue |
BIO Web Conf.
Volume 68, 2023
44th World Congress of Vine and Wine
|
|
|---|---|---|
| Article Number | 01034 | |
| Number of page(s) | 11 | |
| Section | Viticulture | |
| DOI | https://doi.org/10.1051/bioconf/20236801034 | |
| Published online | 06 December 2023 | |
- J. Bloomberg, “Digitization, Digitalization, And Digital Transformation: Confuse Them At Your Peril” [Google Scholar]
- S.M.A. Group et al., “Internet of Things (IoT): A Literature Review,” J. Comput. Commun. 03(05), 05, 2015, DOI: 10.4236/jcc.2015.35021 [Google Scholar]
- I.M. Enholm, E. Papagiannidis, P. Mikalef, and J. Krogstie, “Artificial Intelligence and Business Value: a Literature Review,” Inf. Syst. Front. 24(5), 1709–1734, 2022, DOI: 10.1007/s10796-021-10186-w [CrossRef] [Google Scholar]
- G. Dicuonzo, F. Donofrio, S. Ranaldo, and M. Turco, “The impact of blockchain on Smes’ sustainability. The case of an apulian wine company,” Piccola Impresa Small Bus. 2, 2, Mar. 2021, DOI: 10.14596/pisb.2843 [Google Scholar]
- A.A. Ahi, N. Sinkovics, Y. Shildibekov, R.R. Sinkovics, and N. Mehandjiev, “Advanced technologies and international business: A multidisciplinary analysis of the literature,” Int. Bus. Rev. 31(4), 101967, 2022, DOI: 10.1016/j.ibusrev.2021.101967 [CrossRef] [Google Scholar]
- C. Tiprez, and L. David, «Comment les technologies du web3 vont-elles révolutionner le monde du vin?» [Google Scholar]
- J. Tardaguila, M. Stoll, S. Gutiérrez, T. Proffitt, and M.P. Diago, “Smart applications and digital technologies in viticulture: A review,” Smart Agric. Technol. 1, 100005, 2021, DOI: 10.1016/j.atech.2021.100005 [CrossRef] [Google Scholar]
- E. Brynjolfsson, and K. McElheran, “Data in Action: Data-Driven Decision Making and Predictive Analytics in U.S. Manufacturing.” Rochester, NY, 06, 2019, DOI: 10.2139/ssrn.3422397 [Google Scholar]
- A. Matese, and S. Filippo Di Gennaro, “Technology in precision viticulture: a state of the art review,” Int. J. Wine Res. 7, 69–81, 2015, DOI: 10.2147/IJWR.S69405 [CrossRef] [Google Scholar]
- R. Kotorov, Data-Driven Business Models for the Digital Economy. Business Expert Press, 2020 [Google Scholar]
- M. Varsei and S. Polyakovskiy, “Sustainable supply chain network design: A case of the wine industry in Australia,” Omega 66, 236–247, 2017, DOI: 10.1016/j.omega.2015.11.009 [CrossRef] [Google Scholar]
- H. Feng, X. Wang, Y. Duan, J. Zhang, and X. Zhang, “Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges,” J. Clean. Prod. 260, 121031, 2020, DOI: 10.1016/j.jclepro.2020.121031 [CrossRef] [Google Scholar]
- A.B. Scholkmann, “Resistance to (Digital) Change: Individual, Systemic and Learning-Related Perspectives,” in Digital Transformation of Learning Organizations, D. Ifenthaler, S. Hofhues, M. Egloffstein, and C. Helbig, Eds., Cham: Springer International Publishing, 219–236, 2021, DOI: 10.1007/978-3-030-55878-9_13 [CrossRef] [Google Scholar]
- B. Richter and J.H. Hanf, “Cooperatives in the Wine Industry: Sustainable Management Practices and Digitalisation,” Sustainability 13, 10, 10, 2021, DOI: 10.3390/su13105543 [Google Scholar]
- L.B. Campos, and C.E. Cugnasca, “Towards an IoT-Based Architecture for Wine Traceability,” in 2015 International Conference on Distributed Computing in Sensor Systems 212–213, 2015, DOI: 10.1109/DCOSS.2015.31 [CrossRef] [Google Scholar]
- G. Atwal, D. Bryson, and A. Williams, “An exploratory study of the adoption of artificial intelligence in Burgundy’s wine industry,” Strateg. Change 30(3), 299–306, 2021, DOI: 10.1002/jsc.2413 [CrossRef] [Google Scholar]
- J. Yuan, X. Yan, X. Wang, and G. Chen, Paper-based 3D printing industrialization for customized wine packaging applications 2017 [Google Scholar]
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