In an age where online shopping and innovative services are rapidly evolving, consumer adaptation to shopping trends, store layouts, and payment modalities is critical. Among these adaptations, self-service checkout systems have been introduced in Vietnamese supermarkets to streamline the post-shopping payment process and alleviate cashier counter congestion. This research was conducted to assess factors influencing consumer intentions towards using self-service payment systems. Data from 497 consumers were collected through non-probability sampling and analyzed using the Smart PLS 4.0 software to test various hypotheses. It was found that consumers’ perceptions of usefulness and ease of use, along with their attitudes towards usage, significantly influence their intention to adopt these systems. Importantly, trust was identified as a positive moderator, enhancing the relationship between consumers’ attitudes towards usage and their intentions to engage with self-service payment systems. These findings suggest managerial implications for increasing system acceptance and understanding consumer needs related to self-service payment options in Vietnamese markets. The results contribute to the broader discourse on technology acceptance, particularly within the framework of the Technology Readiness and Acceptance Model, and underscore the importance of trust in the successful deployment of technological solutions in retail settings.
Studying the success factors of sustainability-focused business incubators is crucial because these incubators support startups that address environmental and social challenges, promoting sustainable development. Understanding these success factors enables incubators to provide targeted support that enhances the viability and impact of sustainable ventures. By optimizing the performance of sustainability incubators business will address global sustainability challenges and contribute to a more sustainable economy. This study aims to identify factors that support the success of a business incubator in a case study at Andalas University. This research used the Analytic Hierarchy Process (AHP) method, identifying ten factors with 49 subfactors supporting the incubator’s success. Impact Factor (I) with a weight of 0.2349, Output (O) with a weight of 0.1978, and Resource Capacity (SD) with a weight of 0.1286 are the three main factors that determine the success of an incubator. The prioritized subfactors are Contribution to Regional Economic Growth (I2) with a weight of 0.1898, Technology and New Products (O3) with a weight of 0.0711, and Cooperation with Industry (EK1) with a weight of 0.0477. These factors are recommended because they are expected to support the success of the Andalas University Business Incubator.
The applicability of Industry 4.0 technologies in air cargo terminals was rigorously evaluated with a focus on optimizing operational processes. This study is motivated by the potential of these technologies to substantially enhance efficiency, safety, and the overall quality of logistics services within the air transport sector. To achieve a comprehensive assessment, Multi-Criteria Decision-Making (MCDM) methods were applied, notably the Best-Worst Method (BWM) for determining the prioritization of criteria, and Comprehensive Distance-Based Ranking (COBRA) for an in-depth analysis and ranking of the technologies. The evaluation encompassed critical criteria such as efficiency, productivity, financial sustainability, data security and privacy, integration, scalability, adaptability and flexibility, reliability and resilience, innovation, and the quality of logistics services. The findings indicate that autonomous mobile robots (AMR) emerged as the top-ranked technology, exhibiting superior performance across all key criteria. AMR technology demonstrated remarkable potential in efficiently integrating logistics operations, enhancing productivity, and ensuring high levels of data security and scalability. In addition to AMR, technologies such as the Internet of Things (IoT) and blockchain were identified as pivotal in improving operational processes in air cargo terminals, offering notable benefits in integration, security, and information transparency. The significance of applying Industry 4.0 technologies to transform operational processes in air cargo terminals is underscored, providing a deeper understanding of their capacity to enhance logistics operations in air transport. Further research is recommended to explore the implementation and optimization of these technologies.
Warehousing serves as a critical component in the logistics chain, functioning as an intersection for inbound and outbound flows of goods before distribution to end customers. Given the complexity of warehousing operations, which involve numerous processes, activities, and workforce engagement, significant risks are inherently present. Consequently, a comprehensive risk analysis is imperative for effective risk management. Such analysis informs risk evaluation and facilitates the determination of appropriate mitigation strategies, with the goal of prioritising risks based on their potential impact. The objective of this study is to present a novel approach for risk assessment in warehouses operated by third-party logistics (3PL) companies, employing a combination of Failure Modes, Effects, and Criticality Analysis (FMECA) and Data Envelopment Analysis (DEA). The proposed framework aims to optimise risk prioritisation and to support the implementation of targeted preventive and corrective measures, thereby enhancing workplace safety and operational efficiency. This approach has been applied to a case study of a 3PL provider operating in the Serbian market, where 14 specific risks were identified and assessed. The most critical risks included falls from height, items falling from shelves during handling, forklift operations, and machinery-related risks involving packaging machines, electrical equipment, industrial cleaners, heaters, and forklift battery charging—particularly with regard to potential explosion hazards due to hydrogen gas release and acid spills. Based on the risk assessment, a series of preventive and corrective measures were formulated to mitigate the identified risks, thereby reducing the likelihood of occupational incidents, injuries, and fatalities. The integration of FMECA and DEA has been demonstrated as an effective methodology for systematically evaluating risks in warehouse operations, offering a robust basis for improving safety measures in logistics environments.
Blockchain technology, which gained prominence with the advent of Bitcoin in 2008, has garnered significant attention across various sectors due to its inherent transparency, security, and decentralization. The ability to operate without central authorities has facilitated more efficient and secure transactions, particularly in an increasingly digital environment where cybersecurity has become a critical concern. Cybersecurity, defined as the protection of electronic systems, networks, and data from malicious threats, is paramount for individuals, organizations, and nations. Blockchain has emerged as a promising solution in the cybersecurity domain, offering enhanced data integrity and immutability. Each block in the chain is cryptographically linked to the previous one, making data tampering exceedingly difficult. The decentralized nature of blockchain, requiring validation from multiple participants, reduces the risk of single-point failures and enhances protection against cyberattacks, such as Distributed Denial of Service (DDoS) attacks. Blockchain aligns closely with the Confidentiality, Integrity, and Availability (CIA) triad in cybersecurity by employing encryption techniques and private keys for data protection, ensuring immutability of records, and providing continuous access through distributed networks. While its potential applications are broad, ranging from healthcare to supply chain management and Internet of Things (IoT), several limitations still hinder blockchain’s widespread adoption in cybersecurity. Chief among these are issues related to scalability and resource management, as high transaction volumes can lead to inefficiencies in speed and cost. Emerging solutions, such as hybrid blockchain models, sidechains, and sharding, are being explored to address these challenges. Despite these obstacles, blockchain presents a resilient framework capable of enhancing cybersecurity measures across multiple sectors. Continued research and innovation are necessary to overcome existing limitations and fully unlock the potential of blockchain in reducing cyber risks. As blockchain technology evolves, its role in fortifying defences against cyber threats is expected to become increasingly pivotal, providing a robust and adaptive mechanism to combat future cyberattacks.
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