Hasil untuk "Regulation of industry, trade, and commerce. Occupational law"

Banthita Kanchanasathita, Atchara Wangpa, Apisit Pitakcheun et al.

<i>Background:</i> Transportation delays pose significant challenges for perishable products by reducing freshness, shortening selling duration, and causing lost sales during the delay. <i>Methods:</i> Motivated by the growing importance of transportation delays on perishable products, this study develops a single-period analytical expected profit expression to determine the optimal order quantity that maximizes expected profit. The model incorporates deterioration-driven price reductions, lost sales opportunities occurring during the delay, and the shortened selling duration resulting from delayed delivery, without imposing a specific probability distribution on the transportation delay duration. <i>Results:</i> Numerical experiments illustrate how key parameters influence the optimal order quantity and the corresponding expected profit. Deterioration reduces expected profit by primarily reducing the selling price. In addition, a higher disruption probability reduces both the optimal order quantity and the expected profit, while longer selling durations result in larger order quantities and yield higher expected profits. A low initial selling price can result in negative expected profit, indicating cases where placing the order is inappropriate. <i>Conclusions:</i> The findings offer managerial implications for determining optimal order quantities that maximize profit under transportation delays for perishable products.

Víctor Hugo de la Cruz Madrigal, Liliana Avelar Sosa, Jose-Manuel Mejía-Muñoz et al.

<i>Background:</i> The COVID-19 was a determining factor in the disruption of supply chains in the automotive industry, exacerbating material shortages. This led to increased supplier order cancelations, longer lead times, and reduced safety inventory levels. <i>Methods:</i> This study analyzes and models supply chain disruptions using system dynamics as a key tool, focusing on the disruptions caused by delays in scheduled orders and their impact on service levels within automotive supply chains in Mexico. This approach allowed us to capture the dynamic relationships and cascading effects associated with inventory shrinkage at Tier 2 suppliers, highlighting how these delays affect the chain’s overall performance. In addition to modeling using system dynamics, a deep-learning-based network was proposed to detect disruptions using the data generated by the dynamic model. The network architecture integrates convolutional layers for feature extraction and dense layers for classification, thereby enhancing its ability to identify disruption-related patterns. <i>Results:</i> The performance of the proposed model was evaluated using the AUC metric and compared with alternative methods. The proposed network achieved an AUC of 0.87, outperforming the multilayer perceptron model (AUC = 0.76) and a Neyman–Pearson-based model (AUC = 0.63). These results confirm the superior discriminatory ability of our approach, demonstrating higher accuracy and reliability in detecting disruptions. Furthermore, the dynamical models reveal that the domino effect increases delays in order reception due to the reduction in raw material inventories at Tier 2 suppliers. <i>Conclusions:</i> This paper effectively evaluates the impact of disruptions by demonstrating how reduced service levels propagate through the supply chain.

Félix Díaz, Rafael Liza, Nhell Cerna

<i>Background:</i> The increasing complexity of global supply chains has intensified the demand for transparency, traceability, security, and sustainability in logistics and operations. Blockchain technology enables decentralized, immutable frameworks that improve data integrity, automate transactions via smart contracts, and integrate seamlessly with the IoT and AI. <i>Methods:</i> This bibliometric review analyzes 559 peer-reviewed publications retrieved from Scopus and Web of Science using a PRISMA-guided protocol. Data were processed with Bibliometrix and Biblioshiny to examine scientific production, contributing institutions, author countries, collaboration patterns, thematic clusters, and keyword evolution. <i>Results:</i> The analysis reveals a 400% increase in publications after 2020, with China, India, and the USA leading in output but with limited international collaboration. Keyword co-occurrence and thematic mapping reveal dominant topics, including smart contracts, food supply chain traceability, and sustainability, as well as emerging themes such as decentralization, privacy, and the circular economy. <i>Conclusions:</i> The field is marked by interdisciplinary growth, yet it remains thematically and geographically fragmented. This review maps the intellectual structure of blockchain-enabled sustainable supply chains, offering insights for policymakers, developers, and industry leaders and outlining future research avenues centered on global cooperation, platform efficiency, and ethical and regulatory dimensions.

Pablo Coto-Millán, David Paz Saavedra, Marta De la Fuente

<i>Background:</i> Logistics plays a key role in economic performance, yet its contribution to global growth and convergence remains underexplored. This study examines how different logistics dimensions have influenced GDP per worker across countries over the period 2007–2022. <i>Methods</i>: Using econometric panel data techniques and convergence models (β and σ), data from 86 countries are analysed by incorporating logistics performance indicators—such as infrastructure quality, customs efficiency, and shipment traceability—into an endogenous growth framework. <i>Results:</i> The analysis confirms the existence of both β- and σ-convergence, suggesting that lower-income countries are catching up with higher-income ones. Improvements in logistics competence and tracking systems positively affect economic growth, while inefficiencies in shipping services and delivery timeliness negatively impact convergence. <i>Conclusions:</i> These findings highlight the dual role logistics can play in fostering or hindering growth. Enhancing logistics infrastructure and services through targeted policies is essential to promote sustained economic development and reduce global income disparities.

Sílvia Patrícia Rodrigues, Leonardo de Carvalho Gomes, Fernanda Araújo Pimentel Peres et al.

<i>Background</i>: The global climate crisis has intensified the demand for sustainable solutions, positioning Reverse Logistics (RL) as a critical strategy for minimizing environmental impacts. Simultaneously, Industry 4.0 technologies are transforming RL operations by enhancing their collection, transportation, storage, sorting, remanufacturing, recycling, and disposal processes. Understanding the roles of these technologies is essential for improving efficiency and sustainability. <i>Methods</i>: This study employs a systematic literature review, following the PRISMA methodology, to identify key Industry 4.0 technologies applicable to RL. Publications from Scopus and Web of Science were analyzed, leading to the development of a theoretical framework linking these technologies to RL activities. <i>Results</i>: The findings highlight the fact that technologies like the Internet of Things (IoT), Artificial Intelligence (AI), Big Data Analytics, Cloud Computing, and Blockchain enhance RL by improving traceability, automation, and sustainability. Their application optimizes execution time, reduces operational costs, and mitigates environmental impacts. <i>Conclusions</i>: For the transportation and manufacturing sectors, integrating Industry 4.0 technologies into RL can streamline supply chains, enhance decision-making, and improve resource utilization. Smart tracking, predictive maintenance, and automated sorting systems reduce waste and improve operational resilience, reinforcing the transition toward a circular economy. By adopting these innovations, stakeholders can achieve economic and environmental benefits while ensuring regulatory compliance and long-term competitiveness.

Agatha Clarice da Silva-Ovando, Daniela Granados-Rivera, Gonzalo Mejía et al.

<i>Background</i>: Access to healthy food in emerging-economy cities is challenged by last-mile constraints and poor infrastructure. Aligned with the UN SDGs on Zero Hunger and Sustainable Cities, this study examines how a strategically located nanostores network can help close these gaps while fostering local resilience. Focusing on Colombia’s Sabana Centro region, we designed a nanostore network that maximizes spatial coverage, proximity, and affordability. <i>Methods</i>: A competitive facility-location model combined with a discrete choice model captures consumer heterogeneity in price and location preferences. <i>Results</i>: Results show that locating nanostores in peripheral rather than central areas improves equity: the proposed network meets about 65,400 kg of weekly demand—51% fruit, 36% vegetables, 13% tubers—representing 16% of total regional demand and reaching underserved municipalities. This is notable given that existing nanostores already satisfy roughly 37% of household needs. <i>Conclusions</i>: By linking consumer behavior with sustainable spatial planning, the research offers both theoretical insight and practical tools for equitable distribution. Future work should evaluate supportive policies and supply chain innovations to secure nanostores’ long-term viability and community impact.

Jiaying Gong, Ming Cheng, Hongda Shen et al.

Existing zero-shot product attribute value (aspect) extraction approaches in e-Commerce industry rely on uni-modal or multi-modal models, where the sellers are asked to provide detailed textual inputs (product descriptions) for the products. However, manually providing (typing) the product descriptions is time-consuming and frustrating for the sellers. Thus, we propose a cross-modal zero-shot attribute value generation framework (ViOC-AG) based on CLIP, which only requires product images as the inputs. ViOC-AG follows a text-only training process, where a task-customized text decoder is trained with the frozen CLIP text encoder to alleviate the modality gap and task disconnection. During the zero-shot inference, product aspects are generated by the frozen CLIP image encoder connected with the trained task-customized text decoder. OCR tokens and outputs from a frozen prompt-based LLM correct the decoded outputs for out-of-domain attribute values. Experiments show that ViOC-AG significantly outperforms other fine-tuned vision-language models for zero-shot attribute value extraction.

Kaspar Rosager Ludvigsen

The use of Large Language Models (LLM) by providers of cybersecurity and digital infrastructures of all kinds is an ongoing development. It is suggested and on an experimental basis used to write the code for the systems, and potentially fed with sensitive data or what would otherwise be considered trade secrets. Outside of these obvious points, this paper asks how AI can negatively affect cybersecurity and law when used for the design and deployment of security infrastructure by its developers. Firstly, the paper discusses the use of LLMs in security, either directly or indirectly, and briefly tackles other types of AI. It then lists norms in cybersecurity, then a range of legal cybersecurity obligations from the European Union, to create a frame of reference. Secondly, the paper describes how LLMs may fail to fulfil both legal obligations and best practice in cybersecurity is given, and the paper ends with some economic and practical consequences for this development, with some notions of solutions as well. The paper finds that using LLMs comes with many risks, many of which are against good security practice, and the legal obligations in security regulation. This is because of the inherent weaknesses of LLMs, most of which are mitigated if replaced with symbolic AI. Both also have issues fulfilling basic traceability obligations and practice. Solutions are secondary systems surrounding LLM based AI, fulfilment of security norms beyond legal requirements and simply not using such technology in certain situations.

L. Thomas van Binsbergen, Marten C. Steketee, Milen G. Kebede et al.

Compliance with the GDPR privacy regulation places a significant burden on organisations regarding the handling of personal data. The perceived efforts and risks of complying with the GDPR further increase when data processing activities span across organisational boundaries, as is the case in both small-scale data sharing settings and in large-scale international data spaces. This paper addresses these concerns by proposing a case-generic method for automated normative reasoning that establishes legal arguments for the lawfulness of data processing activities. The arguments are established on the basis of case-specific legal qualifications made by privacy experts, bringing the human in the loop. The obtained expert system promotes transparency and accountability, remains adaptable to extended or altered interpretations of the GDPR, and integrates into novel or existing distributed data processing systems. This result is achieved by defining a formal ontology and semantics for automated normative reasoning based on an analysis of the purpose-limitation principle of the GDPR. The ontology and semantics are implemented in eFLINT, a domain-specific language for specifying and reasoning with norms. The XACML architecture standard, applicable to both access and usage control, is extended, demonstrating how GDPR-based normative reasoning can integrate into (existing, distributed) systems for data processing. The resulting system is designed and critically assessed in reference to requirements extracted from the GPDR.

Christian Herold, Michael Kozielski, Tala Bazazo et al.

We present the e-Llama models: 8 billion and 70 billion parameter large language models that are adapted towards the e-commerce domain. These models are meant as foundation models with deep knowledge about e-commerce, that form a base for instruction- and fine-tuning. The e-Llama models are obtained by continuously pretraining the Llama 3.1 base models on 1 trillion tokens of domain-specific data. We discuss our approach and motivate our choice of hyperparameters with a series of ablation studies. To quantify how well the models have been adapted to the e-commerce domain, we define and implement a set of multilingual, e-commerce specific evaluation tasks. We show that, when carefully choosing the training setup, the Llama 3.1 models can be adapted towards the new domain without sacrificing significant performance on general domain tasks. We also explore the possibility of merging the adapted model and the base model for a better control of the performance trade-off between domains.

Frederik J. Zuiderveen Borgesius, Sanne Kruikemeier, Sophie C. Boerman et al.

On the internet, we encounter take-it-or-leave-it choices regarding our privacy on a daily basis. In Europe, online tracking for targeted advertising generally requires the internet users' consent to be lawful. Some websites use a tracking wall, a barrier that visitors can only pass if they consent to tracking by third parties. When confronted with such a tracking wall, many people click 'I agree' to tracking. A survey that we conducted shows that most people find tracking walls unfair and unacceptable. We analyse under which conditions the ePrivacy Directive and the General Data Protection Regulation allow tracking walls. We provide a list of circumstances to assess when a tracking wall makes consent invalid. We also explore how the EU lawmaker could regulate tracking walls, for instance in the ePrivacy Regulation. It should be seriously considered to ban tracking walls, at least in certain circumstances.

Najmeh Razmkhah

The number of elderly people in the world is increasing. According to the World Population Prospects, by 2050, one in six people worldwide will be over 65. At the same time, the world has witnessed the increasing development of digital technology. This process has raised various concerns by human rights activists regarding the existence of bias and prejudices against the capabilities of older adults and, as a result, the lack of attention to their needs in digital literacy. On the other hand, the right to digital literacy has not been explicitly discussed in the framework of international human rights. In this regard, the Secretary General of the United Nations proposed preparing regulations to determine governments' obligations in the digital field. This proposal led to the presentation of the United Nations' recommendations in the age of digital interdependence. Which, despite the existence of some shortcomings, contains the international obligations of governments in the control and monitoring of digital technology. The main subject of this research is to investigate the attention of the recommendation to the right of the elderly to acquire digital literacy and reduce the digital divide in societies. This study used the analytical-descriptive method, using library and internet resources. The findings of this research show that due to the lack of clarity in referring to the right of the elderly to have digital literacy as an independent human right and also emphasising the need for public access to digital services, regardless of different economic and social conditions of the countries and presenting a proposal for the sharing of digital goods, irrespective of the intellectual property rights of the creators of these types of goods, the recommendation would not be successful in achieving its goals.

Marino Lupi, Daniele Conte, Stefano Benenati et al.

<i>Background</i>: Telematization is essential for improving port efficiency by reducing dwell times and simplifying document management. Currently, only a few ports use informatic document management tools like the Port Community System (PCS), and customs documents are produced and shared in paper format. This results in long port dwell times. <i>Methods</i>: A platform was developed to allow sharing of documents among port actors. The platform shares export documents of each given shipment between export and import port actors; moreover, it serves as a document management platform for ports lacking PCS. In addition, the platform helps in reorganizing the shipment in case of disruptions. <i>Results</i>: The platform has global validity as it allows users to share documents among all port actors worldwide. The platform is formed by the following menus: “Path”, which provides the intermodal freight path; “Shipment”, which allows one to create or change shipment data; “Send notify” to send notifies in case of disruptions; “PMIS and PCS”, which redirects to these platforms of ports involved in the project; and “Documents”, which allows one to upload and share customs documents at the global level. <i>Conclusions</i>: The app contributes to speeding up port operations by reducing dwell times, assists in managing shipment disruptions, and enhances intermodality in freight transportation.

Jaime Rodríguez-Arana

La permanente y nunca acabada reforma de las administraciones públicas pasa, en los tiempos actuales, por el uso inteligente de las nuevas tecnologías al servicio de los ciudadanos. Las nuevas tecnologías son un instrumento al servicio del pueblo. No son un fin en sí mismas. La administración pública en la dimensión electrónica debe ser un entorno de entendimiento, y un marco de humanización de la realidad que fomente el objetivo constitucional central: “la dignidad de la persona, los derechos inviolables que le son inherentes, el libre desarrollo de la personalidad, el respeto a la ley y a los derechos de los demás” tal y como en España dispone el artículo 10.1 de la Constitución Española.

Raúl Antonio Díaz Pacheco, Ernest Benedito

<i>Background</i>: Various supply chain response frameworks (SCRFs) have been proposed in the supply chain (SC) literature, but there is no in-depth analysis. This study analyzes the applicability of SCRFs in scenarios that require SC responses by examining the frameworks’ design and use in response situations. <i>Methods</i>: A qualitative analysis of 38 studies revealed weaknesses in SCRFs, which include the entity proposing the framework, the stimulus being responded to, the adaptation of activities to the stimulus that is responded to, objectives, and response evaluation criteria. <i>Results</i>: The analysis reveals that while these frameworks have been designed for specific situations involving single SC processes, they demonstrate weaknesses by failing to meet two requirements: (1) the stimulus being responded to is different from changes in demand, and (2) the response is generated by a process distinct from manufacturing. <i>Conclusions</i>: Further, SCRF research that incorporates these weaknesses will promote the fragmented development of the SCR concept. Conversely, a robust SCRF can be successfully utilized in various SCRs, facilitating the comparison and evaluation of responses of different SCs to the same stimulus.

Linn Danielsen Evjemo, Qin Zhang, Hanne-Grete Alvheim et al.

The significant growth in the aquaculture industry over the last few decades encourages new technological and robotic solutions to help improve the efficiency and safety of production. In sea-based farming of Atlantic salmon in Norway, Unmanned Underwater Vehicles (UUVs) are already being used for inspection tasks. While new methods, systems and concepts for sub-sea operations are continuously being developed, these systems generally does not take into account how their presence might impact the fish. This abstract presents an experimental study on how underwater robotic operations at fish farms in Norway can affect farmed Atlantic salmon, and how the fish behaviour changes when exposed to the robot. The abstract provides an overview of the case study, the methods of analysis, and some preliminary results.

Zhaochun Ren, Xiangnan He, Dawei Yin et al.

Electronic commerce, or e-commerce, is the buying and selling of goods and services, or the transmitting of funds or data online. E-commerce platforms come in many kinds, with global players such as Amazon, Airbnb, Alibaba, eBay and platforms targeting specific geographic regions. Information retrieval has a natural role to play in e-commerce, especially in connecting people to goods and services. Information discovery in e-commerce concerns different types of search (e.g., exploratory search vs. lookup tasks), recommender systems, and natural language processing in e-commerce portals. The rise in popularity of e-commerce sites has made research on information discovery in e-commerce an increasingly active research area. This is witnessed by an increase in publications and dedicated workshops in this space. Methods for information discovery in e-commerce largely focus on improving the effectiveness of e-commerce search and recommender systems, on enriching and using knowledge graphs to support e-commerce, and on developing innovative question answering and bot-based solutions that help to connect people to goods and services. In this survey, an overview is given of the fundamental infrastructure, algorithms, and technical solutions for information discovery in e-commerce. The topics covered include user behavior and profiling, search, recommendation, and language technology in e-commerce.

Yosef Daryanto, Djoko Setyanto

<i>Background</i>: The latest global agreement on net-zero emissions encourages new studies on production inventory optimization that promote carbon emissions reduction without harming a company’s profit performance, particularly because certain carbon-pricing regulations bind manufacturing companies. <i>Methods</i>: This study aims to develop a production inventory model that considers direct and indirect emissions in three emission scopes. It incorporates emissions from production, material handling, transportation, and waste disposal for further treatment under a carbon cap-and-trade regulation. With the help of Maple software, a convex total cost function was solved. <i>Results</i>: The results show that the optimum production quantity depends on the values of demand, setup cost, holding cost, fixed cost per delivery, fixed cost for waste disposal, and other parameters related to carbon prices. This study also found that the total cost was highly dependent on the values of the carbon cap, carbon price, and delivery distance. Meanwhile, changes in the delivery distance and fuel emissions standard significantly impacted total emissions. <i>Conclusions</i>: The proposed model can guide manufacturing companies in setting the optimum production quantity per cycle. Moreover, they must carefully manage the delivery and setting of the carbon cap and carbon price from the government.

abbas mirshekari , Shobeir Azadbakht

The combination of life with electronic technologies and its undeniable benefits has led to the development of electronic transactions and regulation in this field. This penetration of technology is not only limited to commercial transactions, but it has also occupied minds in the field of wills. According to the equipment used for its conclusion of wills, the electronic will is divided into electronic written and unwritten (audio and video). Now, it is reasonable to raise the question of whether the will, as a legal act based on formalism, can be concluded electronically or not. Are all types of electronic wills valid or should a distinction be made between written and unwritten electronic wills? There are different opinions in this regard: Some have denied the validity of the electronic will and others have accepted the conclusion of this type of will due to its benefits. This issue has remained silent in Iranian law, but in American law, detailed research has been done in this regard. In this country, written electronic will have been accepted in various states, but unwritten electronic wills are still not recognized as a means of concluding a will. However, it is appropriate to use an analytical-descriptive method, with a comparative approach by looking at American laws and jurisprudence, and also, bypassing the necessary laws to fill the gap in the legal system. This article considers that the move towards the acceptance of electronic will is inevitable in Iranian law. For this reason, by adhering to the provisions of the Electronic Commerce Act, it has recognized the validity of all types of electronic wills

Rushikesh A. Patil, Abhishek D. Patange, Sujit S. Pardeshi

<i>Background</i>: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is the most preferred mode for international shipments, while air transport is also increasingly preferred due to the rise in underweight and high-frequency shipments, the expectation of reduced delivery times, and inventory costs. However, a thorough comparative analysis is necessary for the selection. <i>Methods:</i> This paper proposes an intelligent approach based on TLCs. Non-linear optimization is adopted for regular replenishment, while maching-learning classifiers are employed to establish a decision boundary for the chargeable weight of shipments. <i>Conclusions:</i> The study assists in decision making and also establishes a country-wide threshold, highlighting the importance of a country-based logistics strategy. The paper successfully establishes the trends and relations between logistics parameters, which assists the logistics decision making. Research identifies the gaps in the existing literature and bridges them by addressing the required concerns.