Performance Assessment on the Application of Artificial Intelligence to Sustainable Supply Chain Management in the Construction Material Industry

Abstract

Along with global geopolitical complex, information network security issues and increased natural disasters, risk management should be well considered in the construction material industry to re-integrate and establish stiff and flexible supply chains in order to cope with emergencies in the future market. Taking the construction material industry in Taiwan as the research object, representative enterprises with artificial intelligence applied sustainable supply chain management are studied. With the Delphi method and data envelopment analysis, the public data of annual statistics reports of the enterprises are used for selecting the performance indicators of inputs and outputs. Empirical data analysis is also performed to provide reference for the improvement. The research results are summarized as follows. 1. Substituting various input/output index values into CCR and BCC models, the overall production efficiency and pure technical efficiency of enterprises are calculated; by dividing the two, the returns to scale of enterprises are acquired. 2. Critical factors in artificial intelligence applied sustainable supply chain management could be found out through sensitivity analysis. Using the rate of sensitivity change as the evaluation baseline, sensitive factors contain financial aspect, scale aspect, financial performance, and profit before tax. Finally, discussions are proposed according to the results, expecting to help domestic businesses in the construction material industry establish steady and flexible supply chains and present diversified procurement sources to reinforce the emergency defensive ability of the construction material industry.

Exploring the structure of the digital economy through blockchain technology and mitigating adverse environmental effects with the aid of artificial neural networks

“…Similarly, responsible development and sourcing of resources for advanced computing infrastructure underpinning AI and cloud infrastructures requires urgent attention. Further research is needed to fill literature gaps and standardize lifecycle analyses across different technology suites, industrial sectors, and regions (Mehedintu and Soava, 2023;Memon and Ooi, 2023;Singh et al, 2023;Wang et al, 2023;Zhang, 2023) (Di Vaio and Varriale, 2020;Paliwal et al, 2020;Varriale et al, 2020;Liu and Lin, 2021;Palomares et al, 2021;Tsolakis et al, 2021;Khan et al, 2022a;Khan et al, 2022b;Chang et al, 2022;Hassoun et al, 2022;Ma et al, 2022;Xue et al, 2022;Yi et al, 2022;Zkik et al, 2023a;Kwilinski, 2023;Leong et al, 2023;Mehedintu and Soava, 2023;Memon and Ooi, 2023;Richey et al, 2023;Saeed et al, 2023;Singh et al, 2023;Soori et al, 2023;Wang et al, 2023;Wu et al, 2023;Zhang, 2023). Frontiers in Environmental Science frontiersin.org partnerships, and address the digital divide to ensure equitable sharing of environmental protection benefits.…”

“…Assessing whether the advisor adheres to a fiduciary duty, prioritizing the client's best interests, is important. Additionally, considering the advisor's reputation, track record, and client reviews contributes to making an informed decision (Di Vaio and Varriale, 2020;Paliwal et al, 2020;Liu and Lin, 2021;Tsolakis et al, 2021;Chang et al, 2022). Choosing a financial advisor necessitates a thorough assessment of individual financial needs, alongside qualifications, experience, and service offerings.…”

“…New decentralized business architectures are emerging that bypass centralized intermediaries, potentially redistributing power away from established institutional structures to decentralized networks of participants. While the immense opportunities presented, the explosive growth of digital technologies and networks has also introduced wide-ranging social, economic and environmental challenges (Di Vaio and Varriale, 2020;Paliwal et al, 2020;Varriale et al, 2020;Liu and Lin, 2021;Palomares et al, 2021;Tsolakis et al, 2021;Khan et al, 2022a;Khan et al, 2022b;Chang et al, 2022;Hassoun et al, 2022;Ma et al, 2022;Yi et al, 2022). From a social standpoint, issues around online privacy, security, misinformation, screen time, and addiction have become increasingly pertinent.…”

Influence of Artificial intelligent in Industrial Economic sustainability development problems and Countermeasures

“…In ESD several issues still need to be addressed in constructing a “smart city,” such as traffic management, energy distribution and use, air quality and waste management monitoring, and so on [ 10 ]. Global geopolitics, information network security, and rising natural catastrophes need risk management in the building material sector to reintegrate and develop rigid and flexible supply chains in the future market [ 11 , 12 ]. It is decided that focusing on poverty reduction, industry, innovation, and infrastructure development in developing nations would be an excellent place to start looking into the role artificial intelligence plays in achieving the Sustainable Development Goals [ 13 ].…”

Towards Data-Driven, Sustainable Supply Chain Quality Management 5.0 Indicators

“…The paradigm is shifting towards the ideal of stakeholder value, reinforcing the role and the contribution of industry to society at large, rather than to the benefit of a few (Callaghan 2020, EU Directorate-General for R&I et al 2021. Industry 4.0 has focused on advanced technologies to optimize processes and increase efficiency (Ivascu 2020, Liu and Lin 2021, Rad et al 2022). However, there have been some concerns about the dehumanization of the workplace and the social and environmental impacts of this approach (Callaghan 2020, Rad et al 2022, Raja Santhi and Muthuswamy 2023.…”