The carbon-labeling system is able to quantify the level of greenhouse gas emissions goods throughout their life cycle, including production, delivery, and consumption. With proposal carbon peak neutrality goals, has an inevitable impact on production by companies purchase behavior consumers. This paper constructs a theoretical model influencing mechanism consumer willingness carbon-labeled products utilizing theory consumption values. Through survey analysis sample 347 Chinese university...

Abstract Against the backdrop of carbon trading, Chinese Certified Emissions Reduction (CCER) scheme is one most important measures China to reduce emissions. We study a supply chain consisting CCER supplier and manufacturer that buys quotas from supplier. The non-emissions-control enterprise engaged in clean energy projects, while classified into three types: clean, relatively an unclean firm. analyse impacts price offset rate on firms’ emissions reductions. find when lower than Allowances...

Intelligent vehicles refer to a new generation of with automatic driving functions that is gradually becoming an intelligent mobile space and application terminal by carrying advanced sensors other devices using technologies, such as artificial intelligence. Firstly, the traditional autoregressive vehicle sales prediction model based on historical established. Secondly, public opinion data online search index are selected establish index. Then, we consider influence KOL (Key Opinion Leader),...

The urea-formaldehyde resin adhesive in waste medium density fiberboard play a role modifying the activated carbons.

Flash sale (FS) is a new business model that offers discounted products in limited numbers over short period. In this paper we discuss the impact of strategic consumers on advance selling (AS) FS platforms. We first study competing retailers adopting AS to sell homogeneous product. And find retailers' profits and inventory quantities decrease with customers' valuation decreasing rate. Then analyse whether can mitigate customers for products. consider newsvendor involving only one retailer...

The global e-commerce market is growing at a rapid pace, but the percentage of repeat buyers low. According to Tmall, repurchase rate only 6.1%, while research shows that 5% increase in can lead 25% 95% profit. To rate, merchants need predict potential and convert them into repurchasers. Therefore, it necessary buyers. In this paper we build prediction model purchasers using Tmall’s dataset. First, high-quality feature engineering for scenarios by manual construction algorithmic selection....

The waste of medium density fiberboards was carbonized at a temperature 500 °C.The activated carbons were obtained after 16 h impregnation and 1 activation by KOH 800 °C with KOH/coke mass ratios 2.5, 3.0, 3.5, 4.0.The investigated for determination porosity elemental analysis.The results showed that the surface area varied from 1456 to 1647 m 2 /g total pore volume ranged 0.701 1.106 cm 3 /g, which affected different ratios.The size distribution indicated fiberboard included both micropores...

Selecting the right partner is a key factor for successful construction of strategic alliance prefabricated enterprises in China. Based on summarization domestic and foreign studies, combined with characteristics enterprises, paper has constructed an evaluation indicator system selection The also conducted empirical study model China by using method Entropy Weight‐TOPSIS. research results show that five most influential second‐level indicators are commercial housing sales capability, property...

In recent years, many retailers sell their products through not only offline but also online platforms. The sales of perishable goods on e-commerce platforms recorded phenomenal growth in 2020. However, some are overconfident and order more than the optimal ordering quantity, resulting great losses due to product decay. this paper, we apply newsvendor model analyze impacts behavior retailer’s pricing quantity decisions profit. Our provides retailer with a feasible effective method adjust...

Graph representation learning (GRL) is critical for extracting insights from complex network structures, but it also raises security concerns due to potential privacy vulnerabilities in these representations. This paper investigates the structural graph neural models where sensitive topological information can be inferred through edge reconstruction attacks. Our research primarily addresses theoretical underpinnings of cosine-similarity-based attacks (COSERA), providing and empirical...

With the development of digital economy, emerging marketing strategy e‐commerce flash sales has been changing traditional purchasing habits customers. This imposes new decision‐making challenges for companies involved in sales. It is important to build accurate product demand forecast analysis focusing on characteristics and customer behaviors. In this paper, VIPS (Weipinhui, a Chinese platform) taken as case study with key focus how sentiment factors reviews affect sale platforms. The paper...