Tengyue Li, Changzheng Cheng, Feiyang Wang, Zongjun Hu and Jingchuan Li
There are domain integrals in the integral equations for analyzing the heat conduction with a heat source.
Abstract
Purpose
There are domain integrals in the integral equations for analyzing the heat conduction with a heat source.
Design/methodology/approach
In order to highlight the advantages of the boundary element method, the dual reciprocity method is introduced to transform the domain integral into the boundary integral through the special interpolation function. When the internal points near the boundary are selected as the nodes for constructing the approximating functions in the dual reciprocity method, the nearly singular integrals will occur in calculating the physical quantities of these internal points. The nearly singular integrals cannot be effectively evaluated by the Gaussian numerical integration, which will reduce the calculation accuracy of the temperature and heat flux at the internal points near the boundary. Herein, a set of analytical formulas is proposed to evaluate the nearly singular integrals in the boundary integral equations for the heat conduction problem with a heat source.
Findings
Thus, the accurate temperature and heat flux at the internal points closer to the boundary can be evaluated by comparing with the conventional boundary element method. The characteristic of the “boundary only” of the boundary element method is maintained for analyzing the temperature field in the heat conduction problem with a heat source.
Originality/value
The boundary-domain integral equation for the heat conduction problem with a heat source is transformed into the boundary integral equation by the dual reciprocity method. Then, the analytical algorithm is introduced to evaluate the nearly singular integral in the heat conduction boundary integral equations with a heat source. The present method retains the “boundary only” characteristic of the boundary element method and effectively evaluates the nearly singular integrals when the internal point is close to the boundary.
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Jinlei Zhuang, Ruifeng Li, Chuqing Cao, Yunfeng Gao, Ke Wang and Feiyang Wang
This paper aims to propose a measurement principle and a calibration method of measurement system integrated with serial robot and 3D camera to identify its parameters…
Abstract
Purpose
This paper aims to propose a measurement principle and a calibration method of measurement system integrated with serial robot and 3D camera to identify its parameters conveniently and achieve high measurement accuracy.
Design/methodology/approach
A stiffness and kinematic measurement principle of the integrated system is proposed, which considers the influence of robot weight and load weight on measurement accuracy. Then an error model is derived based on the principle that the coordinate of sphere center is invariant, which can simultaneously identify the parameters of joint stiffness, kinematic and hand-eye relationship. Further, considering the errors of the parameters to be calibrated and the measurement error of 3D camera, a method to generate calibration observation data is proposed to validate both calibration accuracy and parameter identification accuracy of calibration method.
Findings
Comparative simulations and experiments of conventional kinematic calibration method and the stiffness and kinematic calibration method proposed in this paper are conducted. The results of the simulations show that the proposed method is more accurate, and the identified values of angle parameters in modified Denavit and Hartenberg model are closer to their real values. Compared with the conventional calibration method in experiments, the proposed method decreases the maximum and mean errors by 19.9% and 13.4%, respectively.
Originality/value
A new measurement principle and a novel calibration method are proposed. The proposed method can simultaneously identify joint stiffness, kinematic and hand-eye parameters and obtain not only higher measurement accuracy but also higher parameter identification accuracy, which is suitable for on-site calibration.
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Feiyang Guan, Tienan Wang and Linbing Sun
This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and…
Abstract
Purpose
This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share.
Design/methodology/approach
This paper selects global automobile manufacturing firms as samples whose classification is “Automobile” in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis.
Findings
This paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share.
Originality/value
This paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.
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Feiyang Guan, Wang Tienan, Qianqian Fan and Linlin Liu
This study aims to explore the effect of competitive aggressiveness on firm performance and the moderating effect of firm 2019s ego-network structures in the international…
Abstract
Purpose
This study aims to explore the effect of competitive aggressiveness on firm performance and the moderating effect of firm 2019s ego-network structures in the international coopetition network.
Design/methodology/approach
From the perspective of strong cooperation of the global automobile industry in recent years, this study uses the global automobile firms in Factiva database as samples to test hypotheses using the least squares dummy variable (LSDV) model.
Findings
This study finds that there is different relationship between the number and variety of competitive actions and firm performance. In addition, ego-network structures have different coefficients for the number and variety of competitive actions.
Originality/value
The conclusions provide theoretical support and policy suggestions for firms to develop effective competitive strategies according to ego-network structures in the international coopetition network.
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Guan Feiyang, Wang Tienan, Sun Linbing and Tang Liqing
The authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the…
Abstract
Purpose
The authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.
Design/methodology/approach
The authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.
Findings
The authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.
Practical implications
In the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.
Originality/value
These results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.
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Since IT investment constitutes a significant portion of a firm’s budget, evaluating IT investment performance is important for both research and firms’ operations. In the digital…
Abstract
Purpose
Since IT investment constitutes a significant portion of a firm’s budget, evaluating IT investment performance is important for both research and firms’ operations. In the digital era, there are significant disparities in the effects of IT investment on firm performance.
Design/methodology/approach
Drawing on the resource-based view and upper echelons theory, we investigate the effect of IT investment on the business performance of manufacturing firms. We also explore the moderating role of digital transformation and dual moderating effect of digital transformation and CEO age in this relationship.
Findings
Analyzing a sample of Chinese manufacturing firms spanning 2016–2020, we find that IT investment by Chinese manufacturing firms has a negative effect on business performance. However, this negative effect is moderated by digital transformation. Furthermore, digital transformation has a more pronounced inverse moderating influence on this negative effect for firms with older CEOs.
Originality/value
Hence, we reveal that the key factors for reducing the negative effect of IT investment on China’s manufacturing firms are digital transformation and the appointment of older CEOs who actively lead firms’ digital transformation.
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This paper aims to examine the influence of overconfident or conservative CEOs on the performance feedback of R&D investment, as well as the combined impact of CEO overconfidence…
Abstract
Purpose
This paper aims to examine the influence of overconfident or conservative CEOs on the performance feedback of R&D investment, as well as the combined impact of CEO overconfidence and demographic characteristics on the relationship between performance feedback of R&D investments.
Design/methodology/approach
Grounded in the upper echelon theory, listed companies in China are selected as samples, and the Heckman two-stage model is used to examine all the models.
Findings
This paper reveals that overconfident CEOs tend to make suboptimal investment decisions. These decisions are influenced by cognitive biases that have a negative impact on the performance of R&D investments. However, the negatively moderating effects of CEO overconfidence can be mitigated if they have overseas experience or academic background, or they are younger.
Originality/value
These mechanisms highlight the various ways in which CEO psychological factors and demographic characteristics can complement each other.
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Feiyang Guan, Wang Tienan and Liqing Tang
This study aims at the sudden outbreak of COVID-19, which had an unprecedented negative impact on the Chinese economy, with firms being affected most. Firms differ in terms of…
Abstract
Purpose
This study aims at the sudden outbreak of COVID-19, which had an unprecedented negative impact on the Chinese economy, with firms being affected most. Firms differ in terms of their specific internal environment, shaping their ability to respond to the outbreak, so the impact may also vary.
Design/methodology/approach
In this paper Chinese listed firms are selected as samples to investigate the mediating effect of prior digital technology on the relationship between R&D (research and development) investment (funds and staff) and firm performance during the epidemic. Firm size and diversification are then introduced as moderating variables to explore the conditional mediating effect of digital technology.
Findings
The results indicate that the higher the firm's prior R&D investment, the higher its digital technology level, and thus the stronger its resistance to the epidemic. Moreover, compared with large-scale firms, small-scale firms have the advantage of strategic flexibility to technological changes, which can help them accumulate experience from R&D activities for digital transformation, thus attenuating the negative impact of the COVID-19 on firm performance. Finally, the results also show that digital technology mediates more strongly between R&D investment and firm performance in diversified firms than in centralized firms.
Originality/value
The study builds a mediation model to reveal the process mechanism through which R&D investment affects firm performance via digital technology. Firm size and diversification are then innovatively introduced as situational factors to build the moderated mediation model, which opens up a new perspective for understanding the effect of firm internal factors on the relationship between R&D investment, digital transformation and firm performance.
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Shunqi Hou, Xiaoyu Wang, Jingjing Xiao, Yurui Zhang and Feiyang Cheng
The new Silk Road provides cross-border-e-commerce firms with an opportunity to widen their markets. Under this circumstance, the preference recognition of countries and inventory…
Abstract
The new Silk Road provides cross-border-e-commerce firms with an opportunity to widen their markets. Under this circumstance, the preference recognition of countries and inventory allocation among overseas warehouses both become critical issues to solve. Three Chinese smartphone brands, including HTC, Huawei, and MI, are selected in this chapter for their relatively enormous sales. DHgate and AliExpress websites are chosen as platforms to analyze the sales for data availability. This chapter first depicts key features of the sales and then, based on which, divide countries into several groups according to their preference for phones by cluster analysis. Then, based on the results of cluster analysis, this chapter further models the inventory assignment among the seven major overseas warehouses that were built by AliExpress in 2015. The results show that the HTC seems to be pursuing the “high value with high price” strategy, while the other two companies seem to be pursuing a hybrid strategy of “low-price” strategy and “high value with low price” strategy. This chapter also provides an assignment pattern of inventory among the overseas warehouses based on the real data of sales and costs.
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Ying Li, Ke Yang, Jin Chen, Sumeet Gupta and Feiyang Ning
Drawing upon the Elaboration Likelihood Model, the purpose of this paper is to examine how the characteristics of social media moderate the effect of a firm’s apology on the…
Abstract
Purpose
Drawing upon the Elaboration Likelihood Model, the purpose of this paper is to examine how the characteristics of social media moderate the effect of a firm’s apology on the attitude of its customers.
Design/methodology/approach
An online experiment including 360 active users of internet was employed to test the research model.
Findings
Results revealed that an after-crisis apology and firm reputation both have a positive effect on after-crisis user attitude toward the firm. Furthermore, the positive effect of apology becomes stronger as online media interactivity increases, whereas the positive effect of reputation becomes weaker.
Research limitations/implications
This study included only one important characteristic of social media, and experimental scenarios were limited to car recall crisis. Considering that social media has so many platforms that may have different kinds of interactivity, further studies can be conducted to figure out the most suitable social media for firms to deal with an online crisis.
Practical implications
The results inform managers of the importance of after-crisis apology and firm reputation. It is worthwhile for managers to find out the levels of online media interactivity at which users focus on apology and reputation and accordingly conduct an effective online crisis management response strategy.
Originality/value
This study extends the literature on online crisis management and the literature on ELM by highlighting the role of online media interactivity in influencing the persuasive effectiveness of firm’s crisis response in the context of social media.