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The traditional e-commerce's traffic dividend is gradually declining, while social e-commerce as a new business model has attracted numerous enterprises to jump into by virtue of the advantages of viral traffic aggregation and efficient conversion. How to improve the core competitiveness and stand out from the Red Ocean battle of traffic competition is of great significance for the healthy and sustainable development of social e-commerce platforms. In view of this, this study focuses on the issues related to the attractiveness of social e-commerce platforms from the consumer's perceptive, with the aim of providing theoretical support for social e-commerce platforms to enhance their core competitiveness and formulate relevant development strategies and decision-making mechanisms. First, four key factors affecting the attractiveness of social e-commerce platforms based on the AISAS model are proposed: the ability to attract consumers to access, promote consumers' purchase conversion, maintain consumers' platform loyalty, and attract to share experiences. Second, an attractiveness assessment model for social e-commerce platform including four secondary indicators and corresponding 14 tertiary indicators is constructed by using Analytic Hierarchy Process, and an arithmetic example is demonstrated. Finally, management suggestions to enhance the attractiveness of social e-commerce platforms are presented. [ABSTRACT FROM AUTHOR]

We consider a reverse supply chain comprising two independent companies: the collector and the remanufacturer. The collector is responsible for sorting the collected used products and then transporting the ‘remanufacturable’ items to the remanufacturer. As sorting is not perfectly accurate, the misclassification errors affect the optimal decisions in the reverse supply chain. We focus on the optimal collection quantity for the collector and the optimal order quantity for the remanufacturer using game theory under both deterministic and uncertain demand. We characterise the optimal solution and show that under certain conditions, the remanufacturer should allow the collector to transport more ‘remanufacturables’ than the order quantity. We then examine the case where both the collector and the remanufacturer belong to a single company with centralised decision-making and compare the optimal collection quantities under both structures of the reverse supply chain. [ABSTRACT FROM PUBLISHER]

The impacts of production disruption in Remanufacturing/Manufacturing (R/M) integrated supply chain on thesalesand the methods of production disruption management were studied. A system dynamics model for the R/M integrated supply chain with production disruption was improved by system dynamics methodology. The numerical examples were shown to illustrate the simulation results. The impacts of different recovery times of production disruption on thesaleswere presented. In order to mitigate the disruption risks and ensure thesalesat the neededsales ratio, the methods for setting multi-echelon inventory levels before the occurring of the production disruption and the methods for making back-up plans after the production disruption occurs were given. [ABSTRACT FROM AUTHOR]

The two competitive closed-loop supply chains under our study include three members: two manufacturers and one retailer. In this paper, we focus on the management of the wholesale prices, the retail prices and the collecting prices for the two competitive closed-loop supply chains. On the assumption that the return rate of the used-products is an increasing function of the collecting price, we obtain the optimal wholesale prices, the optimal retail prices and the optimal collecting prices based on the following models: Model MMC (two manufacturers for collecting), Model MRC (manufacturer one and retailer for collecting) and Model RRC (retailer for collecting). Furthermore, by comparing the optimal results, we find that the retailer for collecting is the best channel for the two competitive closed-loop supply chains if the two manufacturers would like to transfer all of their cost savings from remanufacturing to the retailer. At the end, we illustrate a numerical example to analyse the impacts of the market share ratio and the substitute ratio of the two products on the optimal results. [ABSTRACT FROM AUTHOR]

Nowadays, digital watermarking algorithms are widely applied to ownership protection and tampering detection of digital images. In this paper, a new reversible watermarking algorithm based on wavelet lifting scheme is proposed. In the algorithm, the image is firstly divided into some no-overlapping blocks, and then the wavelet lifting scheme where on every block, is performed watermarking data is embedded into the image according to the attribute of the subband of every block. In order to guarantee the security of algorithm, chaotic system is used to shuffle the position of blocks. The interesting point and usefulness of the algorithm lies in the fact that the watermarked image can be exactly restored into the original image, and the watermarking is robust to cropping. The experimental results show the effectiveness of this scheme. [ABSTRACT FROM AUTHOR]

The rise of the metaverse has attracted the attention of scholars and practitioners to NFT digital collectibles as a new opportunity to engage consumers. However, most studies have focused on the financial and technological aspects, while the psychological and behavioral reasons behind digital collectible purchases remain limited. In light of this, the study employs the theory of planned behavior (TPB) as a research framework and develops an integrated model that includes product attributes, perceived value, perceived behavioral control, and subjective norms. Structural equation modeling (SEM) path analysis and multi-group analysis (MGA) are used to analyze data from 271 samples, revealing the intrinsic psychological mechanisms of NFT digital collectible purchases from the perspectives of perceived value and product attributes, including direct effects, mediating effects, and demographic heterogeneity. This study contributes to the literature on virtual goods, NFTs, consumer value theory, and TPB theory, and also provides practical implications for NFT digital collectible practitioners and designers. [ABSTRACT FROM AUTHOR]