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This study aims to propose a cloud platform architecture considering information sharing based on blockchain to realize the security and convenience of enterprise information sharing in the automotive supply chain.

A bilateral matching model considering enterprises information contribution stimulates information sharing and improves the efficiency and quality of supply and demand matching. Three smart contracts are used to complete the information sharing process and match supply and demand in the automotive supply chain.

The system is tested on the local Ganache private chain, and the decentralized web page is designed based on the architecture prototype.

Solve the problem of information island in automobile supply chain.

Corrosion is a major concern for many industries that use metals as structural or functional materials, and the use of corrosion inhibitors is a widely accepted strategy to protect metals from deterioration in corrosive environments. Moreover, the toxic nature, non-biodegradability and price of most conventional corrosion inhibitors have encouraged the application of greener and more sustainable options, with natural and synthetic drugs being major actors. Hence, this paper aims to stress the capability of natural and synthetic drugs as manageable and sustainable, environmentally friendly solutions to the problem of metal corrosion.

In this review, the recent developments in the use of natural and synthetic drugs as corrosion inhibitors are explored in detail to highlight the key advancements and drawbacks towards the advantageous utilization of drugs as corrosion inhibitors.

Corrosion is a critical issue in numerous modern applications, and conventional strategies of corrosion inhibition include the use of toxic and environmentally harmful chemicals. As greener alternatives, natural compounds like plant extracts, essential oils and biopolymers, as well as synthetic drugs, are highlighted in this review. In addition, the advantages and disadvantages of these compounds, as well as their effectiveness in preventing corrosion, are discussed in the review.

This survey stresses on the most recent abilities of natural and synthetic drugs as viable and sustainable, environmentally friendly solutions to the problem of metal corrosion, thus expanding the general knowledge of green corrosion inhibitors.

This research assesses the present condition of Circular Economy (CE) practices in green hotels situated in two leading Middle Eastern nations, Saudi Arabia and Egypt. Furthermore, it investigates the crucial impact of Industry 4.0 innovations in facilitating the relationship between the adoption of CE initiatives and hotel performance (HP).

Data from 59 green hotels in Saudi Arabia and 76 in Egypt were collected online, resulting in 400 complete forms, providing a diverse sample size suitable for PLS-SEM analysis using JASP software as a leading machine learning application.

The results demonstrate a notable correlation between CE strategies, including redesign, production, reuse and recovery in hotels and HP. Additionally, the impact of Industry 4.0 performance on the relationship between CE and HP is facilitated by four distinct CE loops.

This study offers practical insights into implementing CE practices in the hotel industry, aiding policymakers and establishments in enhancing sustainability and performance. Key stakeholders can use these findings to develop strategies that integrate CE initiatives, improve operational outcomes and align marketing efforts with sustainable practices.

This study is groundbreaking in its exploration of the relationship between CE and the transition to Industry 4.0 in the MENA region, analyzing the specific CE practices that contribute to high HP. The tested model expands on the Natural Resource-Based View and stakeholder theory by incorporating the critical role of Industry 4.0 innovations in the CE–HP nexus.

In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.