Cross-border electronic commerce plays an increasingly key role in international trades, which has become the focus of concern in both academia and industry. However, how to better match overseas demanders and domestic suppliers is still a question for business-to-business export agent. To achieve a steady state, in this study, we apply the two-sided matching method to business-to-business export cross-border electronic commerce context based on the satisfaction of different stakeholders, i.e., sellers, buyers, platforms, and third-party service providers. The satisfaction degree is based on a series of indicators extracted from the prior literature. By incorporating both the linguistic and interval assessment information, we theoretically build an optimization model to match the two sides: overseas demanders and domestic suppliers. Then we empirically illustrate the feasibility and performance of the model through the numerical simulations. The operation mechanisms and managerial guidelines for the two-sided matching in business-to-business export cross-border e-commerce are presented. Our study makes contributions in both theory and practice.

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Previous functional neuroimaging studies have shown that the left mid-fusiform cortex plays a critical role in reading. However, there is very limited research relating this region’s anatomical structure to reading performance either in native or second language. Using structural MRI and three reading tasks (Chinese characters, English words, and alphabetic pseudowords) and a non-reading task (visual-auditory learning), this study investigated the contributions of the left mid-fusiform cortical thickness to reading in a large sample of 226 Chinese subjects. Results showed that cortical thickness in the left mid-fusiform gyrus was positively correlated with performance on all three reading tasks but not with the performance on the non-reading task. Our findings provide structural evidence for the left mid-fusiform cortex as the “gateway” region for reading Chinese and English. The absence of the association between the left mid-fusiform cortical thickness and non-reading performance implied the specific role of this area in reading skills, not in general language skills.

Two-dimensional biharmonic boundary-value problems are considered by the linear barycentric rational method, the unknown function was approximated by the barycentric rational function. For the biharmonic equation, we change the biharmonic equation into the two Poisson equations by depression of order. The linear equations of discrete the biharmonic equation was changed into matrix form. For the basis of barycentric rational function, we present the convergence rate of linear barycentric rational method for biharmonic equation by depression of order. At last, several numerical examples are provided to validate the theoretical analysis. KEYWORDS barycentric rational function, barycentric rational method, biharmonic equation, depression of order, matrix form where Ω = [a, b] × [c, d] and f (x, y), g(x, y), h(x, y) are consistent on Ω. Biharmonic equation is widely used in electrostatics, mechanical engineering and theoretical physics and so on. There are lots of methods to solve biharmonic equation such as finite difference method, finite element method, boundary element method and spectral method and so on.

The purpose of this study was to investigate the moderating effect of corporate technology configuration capability on the relationship between strategic flexibility and organizational performance throughout the different stages of the technological life cycle. By empirically examining 439 Chinese high-tech organizations, we found that technological configuration capability enhances the effect of strategic flexibility on organizational performance in a complex dynamic environment. However, different impacts were observed on the different stages of the technological life cycle. In addition, we explored the strategic flexibility during the different stages of the technological life cycle based on our empirical study.

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Abstract. In this paper, a new method of GM(1,1) model based on optimum weighted combination with different initial value is put forward. The new proposed model is comprised of weighted combination models with different initial value of raw data. Weighted coefficients of every model in the combination are derived from a method of minimizing error summation of square. The optimum weighted combination can express the principle of new information priority emphasized on in grey systems theory fully. The result of a numerical example indicates that optimum weighted combination GM (1,1) model presented in this paper can obtain a better prediction performance than that from the original GM(1,1) model.

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