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Soy protein has been considered as a renewable and environmentally friendly source of adhesives. The purpose of this paper is to investigate a new approach for making a soy protein adhesive modified by SiO₂ nanoparticles.

The objective of this investigation was to evaluate the adhesive properties by determining the viscosity, wettability and shear strength of soy protein adhesive. The effects of nano‐SiO₂ content, wood surface roughness and processing pressure on shear strength between soy protein adhesive and wood were investigated. Four nano‐SiO₂ contents (0, 0.5, 1 and 2 percent), two wood surface roughness (40 and 280 grits), and two processing pressure (1 and 2 MPa) were tested. Adhesive performance was evaluated based on the maximum force required for shearing the adhesive bond between cherry wood pieces.

The modified soy protein adhesives by SiO₂ nanoparticles showed a significant enhancement in dry strength with nano‐SiO₂ content of 1 percent. The mechanism appears to be related to the increased interaction between adhesive and wood and the elimination of voids on the wood surface by SiO₂ nanoparticles.

The adhesive resins used in the present context was soy protein isolate, not from commercially available soy flour. The wet strength was not satisfactory. Further study is needed to solve this problem.

The method developed provided a simple and practical solution to improving the shear strength of soy protein adhesives.

The enhancement method for adhesion strength of soy protein was novel and could find numerous applications in wood industry, avoiding formaldehyde emission and reducing the dependence on petroleum products.

This study aims to explore how subsidiary capabilities collectively configure for performance. Additionally, it seeks to examine whether these configurations of capabilities can provide equifinal solutions through developing a comprehensive research framework that focuses on subsidiaries in China.

With a data set collected through a questionnaire from 172 Korean multinational enterprises (MNEs) in China, this study used a fuzzy-set qualitative comparative analysis to detect the capability conditions and configurations. These configurations represent combinations of various subsidiary capabilities linked to high performance.

This study identified several complex pathways with distinct configurations for high subsidiary performance. The findings demonstrate the importance of configurations over individual conditions. Thus, the results highlight that the effectiveness of diverse capabilities, which are widely believed to singularly contribute to the high performance of MNE subsidiaries, depends on how each combines with other capabilities. Overall, the findings provide a richer and fine-grained understanding of the role and relative importance of various forms of MNE subsidiary capabilities and how the joint effect of these subsidiaries contributes to high performance.

This study suggests that MNE managers should comprehensively understand how subsidiary capabilities are configured to produce subsidiary performance outcomes. This specifically illustrates the importance of understanding the mutually conflicting yet collectively exhaustive results of multi-selective solutions and aims to align with China’s industrial and regional heterogeneity.

By examining the role of MNE subsidiary capability configurations, which may collectively influence the subsidiary’s performance, this study contributes to the literature. It elucidates how MNE subsidiaries may achieve superior performance by developing and possessing various capabilities tailored to the local context.

The purpose of this study is to put forward a high-strength bolt end-plate connection of prefabricated concrete beam-column joint and carry out the pseudo-static test.

ABAQUS finite element software is used to study the fire resistance performance of high-strength bolt end-plate prefabricated joint. This mainly considers the influence of axial compression ratio, screw preload, end-plate thickness and steel hoop thickness.

The results show that the thickness of end-plate and steel hoop has a certain effect on the fire resistance. The change of screw preload has little effect on the fire resistance limit. Compared with the cast-in-place concrete beam-column joint, the deformation trend of column-beam end of the fabricated joint is basically the same as that of cast-in-place joint.

To study the mechanical performance of this kind of joint more comprehensively, the finite element software is used to study the prefabricated concrete beam-column joint with end-plates, and the effects of axial compression ratio, screw preload, end-plate thickness and steel hoop thickness on the fire resistance of joints are mainly considered.

To present the detailed implementation processes of the IDEAL algorithm for two-dimensional compressible flows based on Delaunay triangular mesh, and compare the performance of the SIMPLE and IDEAL algorithms for solving compressible problems. What’s more, the implementation processes of Delaunay mesh generation and derivation of the pressure correction equation are also introduced.

Programming completely in C++.

Five compressible examples are used to test the SIMPLE and IDEAL algorithms, and the comparison with measurement data shows good agreement. The IDEAL algorithm has much better performance in both convergence rate and stability over the SIMPLE algorithm.

The detail solution procedure of implementing the IDEAL algorithm for compressible flows based on Delaunay triangular mesh is presented in this work, seemingly first in the literature.

By adopting learning theory and a guanxi perspective, this study aims to investigate the effects of interpersonal guanxi (interpersonal networks or connections) and relationship learning on companies’ business performance when operating in a large emerging market.

Using a sample of 294 sales managers and salespeople in the Chinese hotel sector, the authors empirically test the authors' arguments through a structural equation modeling (SEM) approach.

The authors' findings indicate that strong interpersonal guanxi tends to generate more positive business performance. Furthermore, the authors find that relationship learning plays a mediating role in the association between interpersonal guanxi and hotel companies’ business performance in a Chinese context. Finally, the authors empirically explore the moderating effect of inter-firm dependence on the contribution of interpersonal guanxi to relationship learning. Findings demonstrate that this effect varies significantly based on inter-firm dependence, with interpersonal guanxi exhibiting a greater positive impact if such dependence is high.

This study enriches our understanding of interpersonal guanxi and of how companies can enhance the companies' business performance in an emerging market context.

Despite the growing and widespread importance of exploring the primary factors facilitating global value chain (GVC) and supply chain management, this topic has received surprisingly little attention to date. Drawing upon the technology–organization–environment framework and the resource-based view, this study aims to fill these important gaps in the literature by theorizing and developing a comprehensive model to explain how a foreign subsidiary of multinational enterprises can improve the upgrading of the GVC and supply chain performance in a host market.

Using survey data collected from 266 foreign subsidiaries of multinational enterprises operating in the Chinese manufacturing sector, this study empirically examines the theoretical framework using a structural equation modeling approach.

The results demonstrated that the relative advantages of digital technology, supplier diversification and environmental uncertainty all contribute positively to the development of foreign subsidiaries’ supply chain management capabilities. Meanwhile, supply chain management capability plays a positive role in foreign subsidiaries facilitating GVC upgrading and enhancing supply chain performance.

The findings of this study provide many important implications and useful insights to foreign subsidiaries operating in an emerging host market by concentrating on how to develop and maintain their competitive advantages in the process of GVC reshaping and supply chain restructuring.

This study provides a useful guide to help firms better understand how they may develop and enhance their competitive advantages in upgrading their GVCs and implementing supply chain restructuring. In addition, this research generates important policy implications considering the recent trend toward creating more effective and sustainable global supply value chains.

Although extant research has provided vast knowledge on the determinants of new product development (NPD) success, prior work is generally bounded to the framework of developed economies. Thus, research dealing with NPD, specifically in the emerging-market context, is still in its infancy. The purpose of this paper is to advance our current understanding on the determinants of NPD performance of emerging-market multinationals (EMMs) by exploring how international knowledge exploration plays a part in the international NPD performance of these firms. Furthermore, it examines how such contribution is contingent on EMMs’ international networking effectiveness and environmental dynamism that draws on the “fit” concept.

To empirically test the theoretical model, the authors draw on a sample of 179 high-technology firms from China, which is the world’s largest emerging market.

Results strongly support the hypothesis that international knowledge exploration positively affects international NPD performance. The analyses of moderating effects indicate that EMMs that are more effective in networking with global network partners and experience a low level of environmental dynamism are likely to achieve better financial performance in NPD.

This study advances our understanding on how and under what conditions EMMs can overcome their knowledge-disadvantaged position and achieve NPD success in global markets by highlighting the important role of international knowledge exploration and possible contingencies. Thus, it contributes to the literature on EMM and innovation.

How much variance in firm performance can be attributed to firms’ corporate political activities (CPA)? Under what conditions does CPA contribute to firm performance? To theorize and empirically tackle these questions, we build on the resource-based view (RBV) to theorize how CPA might improve or hinder firm performance, and specifically examine the direct relationship between firms’ investments in lobbying activities and their performance. We also expect firm growth rate to moderate the relationship between lobbying and performance.

We empirically test our hypotheses using large-scale longitudinal panel data from publicly traded US firms from 2008 to 2018.

Our analyses support our predictions of the double-edged sword effect of lobbying on firm performance. Moreover, our results show that this effect is steeper for firms with higher growth rates.

Our study contributes meaningful insights to strategy scholarship on the influence of nonmarket strategies, highlighting the relevance of firm-specific conditions in shaping the performance outcomes of such strategies. In particular, we make a contribution by identifying a nonlinear relationship between lobbying and firm performance, which is amplified in fast-growing firms compared to stagnant ones.

The purpose of this paper is to design a climbing robot connected by a connecting rod mechanism to achieve multi-functional tasks such as obstacles crossing and climbing of power transmission towers.

A connecting rod type gripper has been designed to achieve stable grasping of angle steel. Before grasping, use coordination between structures to achieve stable docking and grasping. By using the alternating movements of two claws and the middle climbing mechanism, the climbing and obstacle crossing of the angle steel were achieved.

Through a simple linkage mechanism, a climbing robot has been designed, greatly reducing the overall mass of the robot. It can also carry a load of 1 kg, and the climbing mechanism can perform stable climbing. The maximum step distance of the climbing robot is 543 mm, which can achieve the crossing of angle steel obstacles.

A transmission tower climbing mechanism was proposed by analyzing the working environment. Through the locking ability of the screw nut, stable clamping of the angle steel is achieved, and a pitch mechanism is designed to adjust the posture of the hand claw.

The purpose of this study is to investigate the relationship between tourism development and urban housing prices in Chinese cities. Specifically, the study aimed to explore whether there is a relationship between the two variables in tourist and non-tourist cities and whether there is a non-linear relationship between them.

In this study, the entropy method was used to construct the China City Tourism Development Index, which provides a more comprehensive measure of the level of tourism development in different cities. In total, 45 major cities in China were studied using the panel data approach for the period of 2011 to 2019.

The empirical analysis conducted for this study found that tourism development affects urban house prices, and that there is an inverted U-shaped relationship. However, this varies across cities, with house prices in tourist cities tending to be more influenced by tourism development than non-tourist cities. Also, foreign direct investment, population size, fixed asset investment and disposable income per capita were found to have an impact on house prices in both tourism and non-tourism cities.

There are significant differences in tourism development and urban house prices in different cities in China. This study considers these differences when examining the impact of tourism on house prices in 45 major cities in China by dividing the sample cities into tourist and non-tourist cities.