Downstream demand inference (DDI) emerged in the supply chain theory, allowing an upstream actor to infer the demand occurring at his formal downstream actor without need of information sharing. Literature showed that simultaneously minimizing the average inventory level and the bullwhip effect isn't possible. In this paper, the authors show that demand inference is not only possible between direct supply chain links, but also at any downstream level. The authors propose a bi-objective approach to reduce both performance indicators by adopting the genetic algorithm. Simulation results show that bullwhip effect can be reduced highly if specific configurations are selected from the Pareto frontier. Numerical results show that demand's time-series structure, lead-times, holding and shortage costs, don't affect the behaviour of the bullwhip effect indicator. Moreover, the sensitivity analysis show that the optimization approach is robust when faced to varied initializations. Finally, the authors conclude the paper with managerial implications in multi-level supply chains.

There is a lack of technology innovation studies in the maritime sector focusing on developing countries. Generally, these countries present various limitations due to their own social, economic, and political contexts. Moreover, the lack of leadership support, stakeholder involvement, training, resources, and financial and academic support affects successful implementation of technological innovation. The objective of this paper is to emphasize the implementation of Information and Communication Technology (ICT) in the maritime sector and port companies of developing countries by investigating the impact of an ICT solution on port operations from berth to gate through yard operations. Our case study consists of the implementation of a Terminal Operating System (TOS) in the Port of Radès, the main port in Tunisia. An examination of the port operations before and after the implementation of the TOS is carried out. Then, the effects of TOS implementation on terminal operations are studied through a survey based on Key Performance Indicators (KPI) and submitted to managers of three port stakeholders. Key findings indicate that TOS allows an increase in the level of productivity from the quay crane to the gate, allowing decisions to be made based on real-time data and ensuring that the terminal is operating at its full potential. More specifically, berthing and delivery service times are improved thanks to the Electronic Data Interchange (EDI) and the streamlining of the gate and yard activities system. The results also indicate that reputation is progressively improving due to the ability to locate and monitor hazardous goods flowing through the port, and the ability to dispatch engine movement inside the port using the new terminal layout. However, in contrast with the port authority, the results highlight a lack of adaptability on the part of the stevedoring company, which requires time to progressively adapt to the new rules and constraints.

New technology and revolution in digital tools can be considered as the enablers to promote the performance of the global supply chain by integrating the actors. Among these technologies is the blockchain, first and foremost a technology for storing and transmitting information. This technology offers high standards of transparency and security in a decentralized environment. More concretely, the blockchain allows its users—connected in a network—to share data without an intermediary. The cryptocurrencies are new electronic currencies that use blockchain technology to transfer the ownership of cryptos between their different owners. The application of blockchains in cryptocurrency reduces the risk of sharing information and simplifies transaction processing thanks to the secured decentralized environment. The objective of this chapter is to provide a literature review that synthesizes the knowledge of using the blockchains in cryptocurrency. The results of the review can be used by academics and practitioners.

The integration of artificial intelligence (AI) into online platforms has revolutionized the co-creation landscape, particularly in the fashion industry, where AI designers swiftly generate personalized products based on consumer preferences. This research extends the technology acceptance model to explore consumer perspectives and inclinations regarding AI-generated fashion items. The framework incorporates perceived utility, perceived simplicity, perceived risk, attitudes toward AI, and fashion engagement. Data were gathered through an online survey, and exploratory and confirmatory factor analyses were conducted to validate the model. The study highlights the significance of the model use and recommends improvements such as testing usability, gathering user feedback, providing clear instructions, and ensuring easy access to customer support. Meanwhile, the findings indicate that fashion enthusiasts are less likely to accept AI-driven design services, due to a need for transparency or better functionality.

REVIEW OF X8VG2L “EXAMINING GITAM (DEEMED TO BE UNIVERSITY), HYDERABAD CAMPUS FOR CRIME PREVENTION THROUGH ENVIRONMENTAL DESIGN MEASURES: A FOUNDATION TOWARDS A SAFE CPTED EXTERIOR CAMPUS MODEL” Dear Editor of Qeios, The paper entitled “Examining...