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Network embeddedness has been widely considered in enterprise innovation as an effective means of overcoming resource dilemmas. However, while focussing on acquiring external innovation resources, the existing research often ignores the vital role of internal routine updates. Therefore, this study explores the mechanism by which network embeddedness affects innovation performance of enterprises from the perspective of organisational routine updating.

This paper proposes a theoretical model based on social network theory and organisational routines–immune response theory. A total of 328 pieces of research data on high-tech enterprises in China were collected, and the hypotheses were verified using hierarchical regression analysis.

The results show that the two forms of network embeddedness – structural embeddedness and relational embeddedness, have a positive effect on enterprise innovation performance and a significant positive effect on organisational routine revision and organisational routine creation. Both organisational routine revision and organisational routine creation positively affect enterprise innovation performance and partially mediate the relationship between network embeddedness and enterprise innovation performance.

This conclusion provides a new perspective on the impact of network embeddedness on enterprise innovation performance and expands the related research on organisational routine updating. This study provides a theoretical reference for high-tech enterprises to improve their competitiveness and innovation performance through network embeddedness and organisational routine updating.

The purpose of this paper is to propose a new aerodynamic parameter estimation methodology based on neural network and output error method, while the output error method is improved based on particle swarm algorithm.

Firstly, the algorithm approximates the dynamic characteristics of aircraft based on feedforward neural network. Neural network is trained by extreme learning machine, and the trained network can predict the aircraft response at (k + 1)th instant given the measured flight data at kth instant. Secondly, particle swarm optimization is used to enhance the convergence of Levenberg–Marquardt (LM) algorithm, and the improved LM method is used to substitute for the Gauss Newton algorithm in output error method. Finally, the trained neural network is combined with the improved output error method to estimate aerodynamic derivatives.

Neither depending on the initial guess of the parameters to be estimated nor requiring numerical integration of the aircraft motion equation, the proposed algorithm can be used for unstable aircraft and is successfully applied to extract aerodynamic derivatives from both simulated and real flight data.

The proposed method requires iterative calculation and can only identify parameters offline.

The proposed method is successfully applied to estimate aircraft aerodynamic parameters and can also be used as a new algorithm for other optimization problems.

In this study, the output error method is improved to reduce the dependence on the initial value of parameters and expand its application scope. It is applied in aircraft aerodynamic parameter identification together with neural network.

While the peer effects of technology adoption are well established, few studies have considered the variation in peer effects resulting from the mutual proximity between leaders and followers and the heterogeneity of farmers' learning technology. This study addresses the gap in the literature by analyzing the peer effects of technology adoption among Chinese farmers.

Drawing on a government-led soil testing and formulated fertilization program, this study uses survey data of farmers from three Chinese provinces to examine the peer effects of technology adoption. This study uses a probit model to examine how mutual proximity influences peer effects and their heterogeneity. Accordingly, farmers were divided into two groups, namely small- and large-scale farmers, and then into leaders or followers depending on whether they were selected by the government as model farmers.

Both small- and large-scale farmers are more likely to use formula fertilizer if their peers do so. However, a large-scale farmer is more likely to adopt formula fertilizer if the average adoption behavior of other large-scale model (leader) farmers is higher, while a small-scale farmer is more likely to adopt formula fertilizer if other small-scale non-model (follower) farmers have higher average adoption behavior. Moreover, the peer effect was weakened by geographic distance among small-scale farmers and by economic distance among large-scale farmers.

This study elucidates the means of optimizing social learning and technology adoption among farmers.

Finance is crucial to boosting agricultural development in developing countries. This paper aims to investigate the effects of rural formal and informal financial access on agricultural technical efficiency (TE) in China.

Based on the survey data of demonstrative family farms in Langxi county, Anhui province and Wuhan city, Hubei province in central China in 2017, this research assesses agricultural TE by using a three-stage DEA model. It adopts the tobit model to evaluate the effects of formal and informal financial access on TE, and to explore the heterogeneous effects by types, management states and scales. It uses the OLS regression and PSM method to check the robustness, and applies the IV-Tobit method to solve the endogeneity. The authors apply the mediation effect model to explore the channels through which financial access impacts TE.

Family farms' average TE reaches 13.9%, which shows much room for improvement under the given technical conditions and constant inputs. The research confirms the advantage of formal financial access in raising TE relative to informal financial access. The heterogeneous analysis documents more prominent effects of formal financial access on enhancing TE of aquaculture, hybrid, demonstration and large farms. The mediating effect model reveals that the enhancing TE effect of formal financial access derives from improved machinery investment and family labor division rather than land circulation.

The research clarifies finance into formal and informal finance. The results have considerable policy implications for rural financial policies in China.

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.

The purpose of this paper is to analyze the reasons that plagiarism in online literature is so hard to control in China, and it will conclude with a clear solution for the future.

This paper begins its research with the statistics and analysis of plagiarism data and a review of expert interviews regarding online literature publishing. All of these data materials were collected from anti-plagiarism platforms, online literature websites, news report websites and judiciary office websites.

The paper provides empirical insights into why the plagiarism is so rampant in the publishing of online literature in China. It suggests that the current task of controlling network literature plagiarism is arguably created by the literary production platform, which leads to the problem of the validity of the “self-monitoring model.” In fact, controlling plagiarism must be emphasized by means of external monitoring, because strict supervision and various external punitive measurements for committing plagiarism can force literature-generating platforms to strengthen their own internal monitoring.

Online plagiarism occurs almost constantly, but it rarely results in court cases over copyright because of the lack of a robust copyright ecology in China. This paper considers large amounts of data and cases from self-publishing media platforms.

The paper includes implications for the development of plagiarism management in online literature publishing from the publishing Association, media and government.

This paper suggests to online literature users that plagiarism will be controlled when certain active measures against it are taken. The authors hope that this view will promote the development of original online literature.

This paper points out that China must strengthen supervision that comes from outside the online literature generate platforms to control the current rampant plagiarism that occurs on these platforms.

This study aims to optimise the effect of pre-oxidation on hot corrosion behaviour of Tribaloy T-900 at 900 °C in mixed Na₂SO₄ and K₂SO₄.

Prior to hot corrosion experiment, pre-oxidation treatments were carried in ambient air at 900 °C for 1, 5 and 10 h, respectively. The hot corrosion experiments were performed in a box type furnace at 900 °C. Both surfaces of specimens were brushed with saturated salt solution of 75 wt.% Na₂SO₄ + 25 wt.% K₂SO₄. After brushing, the salt-coated specimens were placed in electric stove to ensure drying of salt. After drying, presence of 3 mg/cm² salt on specimen’s surface was ensured through weighting.

The 1-h pre-oxidation treatment prior to hot corrosion showed superior hot corrosion resistance against molten salt attack. An optimum pre-oxidation time of 1 h helped timely formation of protective Cr₂O₃ layer and inhibited the formation of less stable and porous surface oxides of Ni and Mo during hot corrosion.

Pre-oxidation effect on hot corrosion behaviour of refractory metal (such as Mo in investigated alloy) containing alloy has never been reported previously. Refractory metals oxide (e.g. MoO3) could transform the corrosion phenomena to catastrophic failure through acidic fluxing.

The paper is to explore crowdfunding success determinants from the reward menu design aspect, distinguishing from extant studies focusing on characteristics of project creators or crowdfunding projects and funding dynamics. Both the number of reward options and price differentiation of rewards are considered.

The authors use the quadratic model to identify a curvilinear relationship between the number of reward options and crowdfunding success, by running regressions on data collected from one of the most influential reward-based crowdfunding platforms in China. In addition, they explore the moderating effect of price differentiation on the curvilinear relationship.

The authors find an inverted U-shape relationship between the number of reward options and the optimal number of options is around 10. In addition, they find that the curvilinear relationship is moderated by reward price differentiation.

This paper has managerial implications for crowdfunding project creators and platform managers. To achieve better crowdfunding outcomes, a proper number of reward options with diversified reward prices should be provided.

The paper contributes to the literatures in antecedents of crowdfunding success from reward menu design aspect based on theories in investment and purchasing decision making. It is different from existing studies focusing on the characteristics of project creators and crowdfunding projects or funding dynamics. It also parallels retirement contribution plan design studies by exploring the reward menu design in the crowdfunding context.

The purpose of this study was to investigate the effect of perceived corporate hypocrisy on customer mistreatment behaviors within the banking industry and the moderating effects of customer–company identification (CCI) and brand equity on the hypocrisy-mistreatment behavior relationship.

Using multistage sampling, 567 South Korean banking service users participated in an online survey. Structural equation modeling (confirmatory factor analysis) and hierarchical regression analysis were used to analyze the data.

Perceived corporate hypocrisy was positively related to customer mistreatment behaviors. CCI and brand equity differentially moderated the positive relationship between perceived corporate hypocrisy and customer mistreatment behaviors. Specifically, CCI and brand equity strengthened and weakened the positive relationship between perceived corporate hypocrisy and customer mistreatment behaviors, respectively.

Marketers and banking service managers should pay careful attention to customer evaluations of their social activities and communication about the ethical values and actions of their firms. Since CCI and brand equity have contrasting moderating effects on the corporate hypocrisy-aggressive behavior relationship, marketers should devise different strategies to manage the adverse effects of such corporate crises on company-identified and brand-committed customers. For example, managers should focus on customers who actively express their deep sense of disappointment or profound anger in response to corporate hypocrisy (e.g. those with high levels of CCI) because they are likely to exhibit aggressive behaviors toward the company or its employees. Managers need to devise customized relationship-recovery strategies for such customers (e.g. forging a personal connection between the customer and service provider).

The present findings delineate the adverse effects of perceived corporate hypocrisy on customer behaviors and the moderating effect of customer relationship quality on the corporate hypocrisy-mistreatment behavior relationship within the banking industry.

The purpose of this paper is to discuss the evolution of the food traceability system in China, examine factors that affect consumers' perception of a food traceability system, and determine their willingness to pay for having the system.

Beijing, one of the largest pork markets in urban China, was chosen and 400 consumers were randomly interviewed using questionnaires and finally a logistic model was employed to analyze consumers' willingness to pay for traceable pork.

The authors found that consumers' perception of pork traceability system is subject to a comparatively low level. Purchasing of traceable pork is affected by gender, self‐evaluation of health, awareness of the traceability system, concern about food safety, and the stochastic price willing to pay.

The paper is the first to quantify Chinese consumers' valuation for traceable pork and it helps pork producers and marketers understand consumers' willingness to pay a small premium of 4.5 RMB/kg (0.7 USD) for traceable pork. This finding has imperative policy implications that could help the government deal with the high cost associated with the use of a pork traceability system.