An analysis of the integration of sustainability concepts into blockchain technology

Authors

DOI:

https://doi.org/10.58190/ijamec.2023.43

Keywords:

Blockchain technology, Latent semantic analysis, Social spider optimization, Sustainability

Abstract

The acceleration of data production and consumption due to the transition to an information society and industrial revolutions has had a significant impact on the expansion of the global economy. The emergence of Industry 4.0 has led to the adoption of various technologies, including blockchain, which is known for its potential to transform different domains through its solutions. This is particularly relevant in the context of data governance. Thus, blockchain technology has the potential to enhance the sustainability of diverse industries. Sustainability is a crucial concept that refers to the capacity to meet the requirements of the current generation without compromising the ability of future generations to do so.  The integration of blockchain technology across diverse industries holds the potential to greatly improve sustainability efforts. The objective of this study is to assess the relationship between blockchain technology and sustainability through a descriptive review of literature utilizing the latent semantic analysis topic modeling and clustering method, which is a social spider optimization technique. This study focuses on analyzing the impact of blockchain technologies on the sustainability sector. A corpus of 1069 papers has been sourced from the Scopus database. The results underscore the significance of cybersecurity, supply chain management, and the circular economy in the extant academic literature. The broad recognition of the supply chain domain's importance is evident in its application of blockchain technology and adherence to the sustainability principle. The present research focuses on the analysis and assessment of topics pertaining to traceability, cyber security, circular economy, energy, and transparency.

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References

T. Kuhlman and J. Farrington, “What is sustainability?,” Sustainability, vol. 2, no. 11, pp. 3436–3448, 2010, doi: 10.3390/su2113436.

K. F. Wiersum, “200 years of sustainability in forestry: Lessons from history,” Environ. Manage., vol. 19, pp. 321–329, 1995.

Ç. Şenkardeş, Blokzincir Teknolojisi ve NFT’ler. CERES YAYINLARI, 2022.

H. Alshahrani et al., “Sustainability in Blockchain: A Systematic Literature Review on Scalability and Power Consumption Issues,” Energies, vol. 16, no. 3, 2023, doi: 10.3390/en16031510.

A. Babaei, M. Khedmati, M. R. Akbari Jokar, and E. B. Tirkolaee, “Designing an integrated blockchain-enabled supply chain network under uncertainty,” Sci. Rep., vol. 13, no. 1, p. 3928, 2023, doi: 10.1038/s41598-023-30439-9.

N. Eligüzel, C. Çetinkaya, and T. Dereli, “A state-of-art optimization method for analyzing the tweets of earthquake-prone region,” Neural Comput. Appl., vol. 33, no. 21, pp. 14687–14705, 2021, doi: 10.1007/s00521-021-06109-0.

G. Ojha, R., & Deepak, “Metadata driven semantically aware medical query expansion. In Knowledge Graphs and Semantic Web:,” in Third Iberoamerican Conference and Second Indo-American Conference, KGSWC 2021, 2021, pp. 223–233.

N. J. Rowan, “The role of digital technologies in supporting and improving fishery and aquaculture across the supply chain – Quo Vadis?,” Aquac. Fish., vol. 8, no. 4, pp. 365–374, 2023, doi: 10.1016/j.aaf.2022.06.003.

A. Ghosh, S. Kumar, and J. Das, “Impact of leachate and landfill gas on the ecosystem and health: Research trends and the way forward towards sustainability,” J. Environ. Manage., vol. 336, no. February, p. 117708, 2023, doi: 10.1016/j.jenvman.2023.117708.

J. Xu, J. Lou, W. Lu, L. Wu, and C. Chen, “Ensuring construction material provenance using Internet of Things and blockchain: Learning from the food industry,” J. Ind. Inf. Integr., vol. 33, no. February, p. 100455, 2023, doi: 10.1016/j.jii.2023.100455.

J. Pombo-Romero and O. Rúas-Barrosa, “A Blockchain-Based Financial Instrument for the Decarbonization of Irrigated Agriculture,” Sustain., vol. 14, no. 14, 2022, doi: 10.3390/su14148848.

M. Oudani, “A combined multi-objective multi criteria approach for blockchain-based synchromodal transportation,” Comput. Ind. Eng., vol. 176, no. January, 2023, doi: 10.1016/j.cie.2023.108996.

B. Wang, M. Dabbaghjamanesh, A. Kavousi-Fard, and S. Mehraeen, “Cybersecurity Enhancement of Power Trading within the Networked Microgrids Based on Blockchain and Directed Acyclic Graph Approach,” IEEE Trans. Ind. Appl., vol. 55, no. 6, pp. 7300–7309, 2019, doi: 10.1109/TIA.2019.2919820.

E. Ribeiro da Silva, J. Lohmer, M. Rohla, and J. Angelis, “Unleashing the circular economy in the electric vehicle battery supply chain: A case study on data sharing and blockchain potential,” Resour. Conserv. Recycl., vol. 193, no. December 2022, p. 106969, 2023, doi: 10.1016/j.resconrec.2023.106969.

E. Yontar, “Critical success factor analysis of blockchain technology in agri-food supply chain management: A circular economy perspective,” J. Environ. Manage., vol. 330, no. October 2022, p. 117173, 2023, doi: 10.1016/j.jenvman.2022.117173.

A. Rejeb, A. Appolloni, K. Rejeb, H. Treiblmaier, M. Iranmanesh, and J. G. Keogh, “The role of blockchain technology in the transition toward the circular economy: Findings from a systematic literature review,” Resour. Conserv. Recycl. Adv., vol. 17, no. December 2022, p. 200126, 2023, doi: 10.1016/j.rcradv.2022.200126.

A. F. Yazıcı, A. B. Olcay, and G. Arkalı Olcay, “A framework for maintaining sustainable energy use in Bitcoin mining through switching efficient mining hardware,” Technol. Forecast. Soc. Change, vol. 190, no. February, 2023, doi: 10.1016/j.techfore.2023.122406.

D. M. Alshehri, “Blockchain-assisted internet of things framework in smart livestock farming,” Internet of Things (Netherlands), vol. 22, no. March, p. 100739, 2023, doi: 10.1016/j.iot.2023.100739.

S. Sadik, M. Ahmed, L. F. Sikos, and A. K. M. Najmul Islam, “Toward a sustainable cybersecurity ecosystem,” Computers, vol. 9, no. 3, pp. 1–17, 2020, doi: 10.3390/computers9030074.

S. Deerwester, S. T. Dumais, G. W. Furnas, and T. K. Landauer, “Indexing by Latent Semantic Analysis,” J. Am. Soc. Inf. Sci., vol. 41, no. 6, pp. 391–407, 1990.

C. H. Papadimitriou, P. Raghavan, H. Tamaki, and S. Vempala, “Latent semantic indexing: A probabilistic analysis,” J. Comput. Syst. Sci., vol. 61, no. 2, pp. 217–235, 2000, doi: 10.1006/jcss.2000.1711.

E. Cuevas, M. Cienfuegos, D. Zaldívar, and M. Pérez-cisneros, “A swarm optimization algorithm inspired in the behavior of the social-spider,” Expert Syst. Appl., vol. 40, no. 16, pp. 6374–6384, 2013.

R. C. Thalamala, A. Venkata Swamy Reddy, and B. Janet, “A Novel Bio-Inspired Algorithm Based on Social Spiders for Improving Performance and Efficiency of Data Clustering,” J. Intell. Syst., vol. 29, no. 1, pp. 311–326, 2020, doi: 10.1515/jisys-2017-0178.

G. M. Hastig and M. M. S. Sodhi, “Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors,” Prod. Oper. Manag., vol. 29, no. 4, pp. 935–954, 2020, doi: 10.1111/poms.13147.

A. Kumar; M.Arora; K. Bhalerao; M. Chhabra;, “Role of Blockchain for Sustainability and Circular Economy,” in Advances in Communication, Devices and Networking, Springer, 2022, pp. 413–425.

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Published

28-09-2023

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Research Articles

How to Cite

[1]
“An analysis of the integration of sustainability concepts into blockchain technology”, J. Appl. Methods Electron. Comput., vol. 11, no. 3, pp. 158–164, Sep. 2023, doi: 10.58190/ijamec.2023.43.

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