References
- M.-L. Song, R. Fisher, J.-L. Wang, L.-B. Cui, Environmental
performance evaluation with big data: theories and methods,
Ann. Oper. Res., 270 (2018) 459–472.
- S.E. Bibri, On the sustainability of smart and smarter cities in
the era of big data: an interdisciplinary and transdisciplinary
literature review, J. Big Data, 6 (2019) 25, doi: 10.1186/s40537-019-0182-7.
- C.N. Mgbenu, J.C. Egbueri, The hydrogeochemical signatures,
quality indices and health risk assessment of water resources
in Umunya district, southeast Nigeria, Appl. Water Sci.,
9 (2019) 22, doi: 10.1007/s13201-019-0900-5.
- M.E. Porter, M.R. Kramer, Creating Shared Value, G.G. Lenssen,
N.C. Smith, Eds. Managing Sustainable Business, Springer,
Dordrecht, 2019.
- S. Jeble, R. Dubey, S.J. Childe, T. Papadopoulos, D. Roubaud,
A. Prakash, Impact of big data and predictive analytics
capability on supply chain sustainability, Int. J. Logist. Manage.,
29 (2018) 513–538.
- P. Greve, T. Kahil, J. Mochizuki, T. Schinko, Y. Satoh, P. Burek,
G. Fischer, S. Tramberend, R. Burtscher, S. Langan, Y. Wada,
Global assessment of water challenges under uncertainty in
water scarcity projections, Nat. Sustainability, 1 (2018) 486–494.
- P. Liu, J. Wang, A.K. Sangaiah, Y. Xie, X. Yin, Analysis
and prediction of water quality using LSTM deep neural
networks in IoT environment, Sustainability, 11 (2019) 2058,
doi: 10.3390/su11072058.
- S. Bag, J.H.C. Pretorius, Relationships between industry 4.0,
sustainable manufacturing and circular economy: proposal of
a research framework, Int. J. Organ. Anal., 30 (2022) 864–898.
- T.M. Fernández-Caramés, O. Blanco-Novoa, I. Froiz-Míguez,
P. Fraga-Lamas, Towards an autonomous industry 4.0
warehouse: a UAV and blockchain-based system for inventory
and traceability applications in big data-driven supply chain
management, Sensors, 19 (2019) 2394, doi: 10.3390/s19102394.
- V. Saiz-Rubio, F. Rovira-Más, From smart farming towards
agriculture 5.0: a review on crop data management, Agronomy,
10 (2020) 207, doi: 10.3390/agronomy10020207.
- C. He, Z. Liu, J. Wu, X. Pan, Z. Fang, J. Li, B.A. Bryan,
Future global urban water scarcity and potential solutions,
Nat. Commun., 12 (2021) 4667, doi: 10.1038/s41467-021-25026-3.
- A. Aryal, Y. Liao, P. Nattuthurai, B. Li, The emerging big data
analytics and IoT in supply chain management: a systematic
review, Supply Chain Manage., 25 (2020) 141–156.
- S.A. Miller, A. Horvath, P.J.M. Monteiro, Impacts of booming
concrete production on water resources worldwide,
Nat. Sustainability, 1 (2018) 69–76.
- W.W. Immerzeel, A.F. Lutz, M. Andrade, A. Bahl, H. Biemans,
T. Bolch, S. Hyde, S. Brumby, B.J. Davies, A.C. Elmore, A. Emmer,
M. Feng, A. Fernández, U. Haritashya, J.S. Kargel, M. Koppes,
P.D.A. Kraaijenbrink, A.V. Kulkarni, P.A. Mayewski, S. Nepal,
P. Pacheco, T.H. Painter, F. Pellicciotti, H. Rajaram, S. Rupper,
A. Sinisalo, A.B. Shrestha, D. Viviroli, Y. Wada, C. Xiao, T. Yao,
J.E.M. Baillie, Importance and vulnerability of the world’s
water towers, Nature, 577 (2020) 364–369.
- S. Mohammad-Azari, O. Bozorg-Haddad, H.A. Loáiciga, Stateof-
art of genetic programming applications in water-resources
systems analysis, Environ. Monit. Assess., 192 (2020) 73,
doi: 10.1007/s10661-019-8040-9.
- M. Motoshita, Y. Ono, S. Pfister, A.-M. Boulay, M. Berger,
K. Nansai, K. Tahara, N. Itsubo, A. Inaba, Consistent
characterisation factors at midpoint and endpoint relevant
to agricultural water scarcity arising from freshwater
consumption, Int. J. Life Cycle Assess., 23 (2018) 2276–2287.
- A.B.L. de Sousa Jabbour, C.J.C. Jabbour, M. Godinho Filho,
D. Roubaud, Industry 4.0 and the circular economy: a proposed
research agenda and original roadmap for sustainable
operations, Ann. Oper. Res., 270 (2018) 273–286.
- A. Mehmeti, A. Angelis-Dimakis, G. Arampatzis, S.J. McPhail,
S. Ulgiati, Life cycle assessment and water footprint of
hydrogen production methods: from conventional to emerging
technologies, Environments, 5 (2018) 24, doi: 10.3390/environments5020024.
- S.T. Hassan, E. Xia, N.H. Khan, S.M. Ali Shah, Economic growth,
natural resources, and ecological footprints: evidence from
Pakistan, Environ. Sci. Pollut. Res. Int., 26 (2019) 2929–2938.