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1 – 10 of 16Jincheng Tang, Yongqi Xie, Jianqin Zhu, Xianwei Wang, Siyuan Liu, JianZu Yu and Hongwei Wu
The purpose of this paper is to numerically and experimentally evaluate the effect of the protection net icing on the inlet performance of helicopter engines.
Abstract
Purpose
The purpose of this paper is to numerically and experimentally evaluate the effect of the protection net icing on the inlet performance of helicopter engines.
Design/methodology/approach
The ice shapes of the protection net at different times are first simulated by a two-dimensional (2D) icing calculation, then the porous media parameters are calculated based on the 2D ice shapes. Afterward, three-dimensional flow fields of the engine inlet with the iced net are simulated using the porous media model instead of the real protection net. The transient pressure losses of the iced protection net are calculated and tested through an icing wind tunnel test rig under different icing conditions.
Findings
Overall, the numerical results and experimental data show a good agreement. The effects of several control parameters, such as liquid water contents (LWC), water droplet diameters and airflow velocities on the pressure loss of the protection net during the icing process are analyzed in a systematic manner. The results indicate that the pressure loss increases with the increase of the LWC at the same icing time. The same trend occurs when the water droplet diameter and the airflow velocity increase.
Originality/value
A new method to predict the pressure loss of the iced protection net is proposed. A series of tests in an icing wind tunnel are performed to obtain the ice shapes and pressure loss of protection net during the icing process.
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Tao Zhang, Wanmin Zhao and Dongjun Tong
Flood season in our country is characterized by frequent heavy rains, and flood problems are becoming increasingly serious. The uneven distribution of water resources causes…
Abstract
Flood season in our country is characterized by frequent heavy rains, and flood problems are becoming increasingly serious. The uneven distribution of water resources causes conflicts in the occurrence of floods and droughts. Implementing effective flood control planning and solving drought and flood disasters are the research highlights of relevant institutions both domestic and abroad. This study develops a multiscale method of urban flood control planning based on microcirculation. A microcirculation water ecosystem, which consists of six elements, namely, collecting, interacting, precipitating, reserving, storing, and purifying, is introduced. This study investigates precipitation; peak shaving; recycle mode of filtration at the macro level in different regions; “hierarchy” in rainwater ecosystems in rain parks, heavy rain garden parks, and wetland parks at the meso level; and the concept of zero-emission rain in residential areas and roads at the micro level. Finally, this study analyzes a rain garden and its domestic application. A conclusion is drawn that the flood control planning model based on microcirculation can effectively reduce rain runoff. Empirical measurement proves that the proposed multiscale model for city flood control planning based on microcirculation promotes flood control and effectively reduces the occurrence of droughts and floods.
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Kai Zeng, Duanxu Wang, Qingyan Ye, Zhengwei Li and Xianwei Zheng
Because unethical behaviour pervades in organisations, how to inhibit the interpersonal influence of unethical behaviour has become increasingly important. This study aims to…
Abstract
Purpose
Because unethical behaviour pervades in organisations, how to inhibit the interpersonal influence of unethical behaviour has become increasingly important. This study aims to integrate the deontic justice theory and affective events theory to examine the relationship between an individual’s unethical behaviour and his or her peers’ vicarious learning by highlighting the mediating effect of peers’ moral anger and the moderating effect of task interdependence on this relationship.
Design/methodology/approach
Data were collected in two waves from 254 employees of a large manufacturing company in the People’s Republic of China.
Findings
The hypothesised moderated mediation model was supported. Specifically, as expected, peers’ moral anger mediated the negative relationship between an individual’s unethical behaviour and peers’ vicarious learning. Task interdependence moderated the direct relationship between the individual’s unethical behaviour and his or her peers’ moral anger and the indirect relationship between an individual’s unethical behaviour and his or her peers’ vicarious learning via the peers’ moral anger such that these relationships were stronger when the level of task interdependence was higher.
Originality/value
This study argues that the deontic justice theory is a supplement for the social learning theory in explaining the interpersonal influence of unethical behaviour. Drawing on the deontic justice theory, this study demonstrates that an individual’s unethical behaviours are unlikely to be rewarded or accepted, and by integrating the theories of deontic justice and affective events, offers a rationale for the emotional mechanism that underlies the interpersonal influence of unethical behaviour.
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Xiaoxian Ji, Juan Luis Nicolau and Xianwei Liu
Repeat customers play an important role in the restaurant sector. Previous studies have confirmed the positive effect of managerial responses on customer relationship management…
Abstract
Purpose
Repeat customers play an important role in the restaurant sector. Previous studies have confirmed the positive effect of managerial responses on customer relationship management. However, the practice of managerial response strategies toward repeat customers in the restaurant sector remains unclear. This study aims to explore how social influence and the revisit intention of customers affect the responding behavior of restaurant managers.
Design/methodology/approach
This study collects information of 251,944 customer reviews and managerial responses from 1,272 restaurants on Yelp (a leading restaurant review website around the world) and builds four econometric models (with restaurant and month fixed effects) to test the hypotheses empirically.
Findings
The empirical results show that restaurant managers are less likely to respond to reviews posted by repeat customers (10% lower than that of new customers). This effect is moderated by customer social influence, which entails that repeat customers with great social influence are more likely to receive managerial responses. Moreover, reviews from repeat customers who have had a longer time since their last consumption are also more likely to receive managerial responses.
Practical implications
The results present implications for restaurant managers in business practice regarding managerial response. Managers should take advantage of platform designs and tools (i.e. customer relationship management programs to keep track of repeat customers) to locate repeat customers and avoid the potential negative effects caused by their selected response strategies.
Originality/value
To the best of the authors’ knowledge, this study is among the first attempts to examine empirically how restaurant managers respond to reviews generated by repeat customers in real business practice and reveals what drives such activities from the perspectives of social influence and revisit intention.
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Xingkun Liang, Yining Luo, Xiaolin Shao and Xianwei Shi
Innovation ecosystem research has highlighted complementors as the critical force to determining focal firm innovation’s success in addition to the traditional value chain or…
Abstract
Purpose
Innovation ecosystem research has highlighted complementors as the critical force to determining focal firm innovation’s success in addition to the traditional value chain or supply chain perspective. However, literature is relatively scarce in terms of innovation ecosystem governance, especially, on how to manage various types of complementors. The purpose of this paper is to fill this theoretical gap by developing a typology of managing complementors from multiple case studies.
Design/methodology/approach
This study conducted multiple case studies of three leading focal firms with ecosystem strategies to understand innovation ecosystem governance. Theoretical themes are inductively generated to reveal their success in managing complementors in their ecosystems.
Findings
The case analysis reveals four generic strategies to manage complementors. These strategies are contingent on the types of complementors and level of interdependence: focal firms tend to engage functional complementors and collaborate with infrastructural complementors when the level of interdependence is higher, and acquire functional complementors and nurture infrastructural complementors when the level of interdependence is lower.
Practical implications
For practitioners, this study can improve their understanding on the mechanisms of innovation ecosystem governance, particularly interdependence between participants in an innovation ecosystem, and developing appropriate strategies to manage different types of complementors in innovation ecosystems.
Originality/value
This study contributes to innovation ecosystem literature by enriching the conceptualization of interdependence in innovation ecosystems and unpacking innovation ecosystem governance with the inductively developed holistic typology of strategies to manage complementors. Meanwhile, this study also suggests underlying mechanisms for how innovation ecosystem governance and, therefore, contributes to a systematic theory on understanding innovation ecosystem governance.
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Xianwei Lyu, Omkar Dastane and Xiaoguang He
Food SMEs is the backbone of local and world economy. Even while food SMEs are aware of the potential advantages of implementing supply chain analytics (SCA), only a small number…
Abstract
Purpose
Food SMEs is the backbone of local and world economy. Even while food SMEs are aware of the potential advantages of implementing supply chain analytics (SCA), only a small number of companies use data-based decision-making. This is because of technophobia. In light of this, the purpose of this study is to investigate the factors that have an impact on SCA adoption which in turn influence the sustainable performance of firms.
Design/methodology/approach
The data were collected from 221 managers working in food-related SMEs in China by using a questionnaire-based survey. The framework of this study was validated using a rigorous statistical procedure using the technique, namely, partial least squares structural equation modelling.
Findings
The findings of this study suggest that all modified UTAUT components (i.e. performance expectancy, effort expectancy, social influence, facilitating conditions and technophobia) significantly influence SCA adoption. Moreover, the existing study highlights and confirms the significance of adopting SCA to improve sustainable performance.
Originality/value
This research is novel, as it extends and investigates the theoretical framework based on UTAUT theory in SCA context and its impact on sustainable organizational performance. In addition, the factor of technophobia is tested in SCA context. This study has several contributory managerial implications for food SMEs.
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Xianwei Lu, Jianqiong Wang and Dayong Dong
The purpose of this paper is to analyze and examine the relationship between busy boards and corporate performance in China.
Abstract
Purpose
The purpose of this paper is to analyze and examine the relationship between busy boards and corporate performance in China.
Design/methodology/approach
Based on a sample of non‐financial listed companies in the Chinese stock market from 2007 to 2010, by defining several measures of busy board, the paper investigates the relationship between busy boards and corporate performance in China.
Findings
The paper finds many busy boards in Chinese listed companies; compared to companies without multiple directorships, the companies with multiple directorships have better corporate performance; the number of multiple directorships in boards should maintain a certain ratio, or the busy boards will be harmful to the corporate performance.
Originality/value
This is the first paper to analyze and examine the impacts of busy boards on firm performance in China directly. The findings are also useful to regulation of limiting the numbers of independent directors seated on other boards.
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Xianwei Liu, Huacong Li, Xinxing Shi and Jiangfeng Fu
The purpose of this paper is to improve the hydraulic efficiency without changing the overall dimension. The blade profile optimization design of the aero-centrifugal pump based…
Abstract
Purpose
The purpose of this paper is to improve the hydraulic efficiency without changing the overall dimension. The blade profile optimization design of the aero-centrifugal pump based on the biharmonic equation surrogate model has been studied.
Design/methodology/approach
First of all, Bezier curves and linear function are used to control the annular angle distribution and the stacking angle of blade profile under the MATLAB platform. Grid independence analysis has been studied to find the finest mesh scheme. After the precision comparison of test data and computation fluid dynamics 15 sets of design parameters are carried out as the boundary condition of the biharmonic equation. The efficiency surrogate model of the biharmonic equation is constructed via iteratively solving of a discrete difference equation. The other two surrogate models of response surface model (RSM) and radial basis function neural network surrogate model (RBFNNSM) are compared with the biharmonic equation surrogate model by the standard of modified complex correlation coefficient R2 and root mean square deviation (RSME). Finally, the artificial fish swarm algorithm has been used to find the global optimal design parameters with the objective function of highest efficiency.
Findings
The results show that the design parameters code conversion method can reduce the number of optimization parameters from five to three, makes the design space become a cube, and compared with RSM and RBFNNSM, the biharmonic equation surrogate model has higher precision with R2 is 0.8958, RSME is 0.1382. The final optimum result of AFSA is at the point of [1 −1 −1]. The internal flow field analysis shows that after optimization the outlet relative velocity becomes more uniform and the wake effect has been significantly decreased. The hydraulic efficiency of the optimized pump is about 59.45 per cent increasing 5.4 per cent compared with a prototype pump.
Originality/value
This study developed a new method to optimize the design parameters of aero-centrifugal pump impeller based on biharmonic equation surrogate model, which had a good agreement with experimental values within just 15 sets of the original design. The optimization results shows that the method can improve the hydraulic efficiency significantly.
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Huanren Zhang, Yimei Hu, Xianwei Shi and Yuchen Gao
Studies have documented the distinctive advantage of innovation ecosystems in integrating and recombining heterogeneous knowledge resources across firms' boundaries. However…
Abstract
Purpose
Studies have documented the distinctive advantage of innovation ecosystems in integrating and recombining heterogeneous knowledge resources across firms' boundaries. However, hierarchical governance in the form of vertical integration is still preferred in many industries for organizing innovation, and the current literature touches little on the relative performance of different organizational structures (integrated firms vs innovation ecosystem) and the factors that lead firms to choose one over the other. The authors conjecture that structure of technological interdependence is one of such important factors. Using a computational experiment, the authors compare the innovation performance of ecosystems with integrated firms under different interdependency structures.
Design/methodology/approach
Using the NKC model, the authors incorporate non-generic complementarities and modularity into the technological interdependence between different components. The authors compare four different types of technological interdependence (modular, hierarchical, nearly modular, and random).
Findings
The results show that integrated firms with centralized search demonstrate stable and consistent performance that is robust to the structure of technological interdependencies, but an ecosystem significantly outperforms integrated firms with centralized or decentralized when the products exhibit modular or nearly-modular structures.
Originality/value
This study sheds light on why an ecosystem often exhibits modular structures while vertical integration is prevalent in industries with complex technological interdependence. In addition, it shows the evolutionary nature of ecosystems and indicates how the cooperation and competition between actors shape the interdependence structure of ecosystems.
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Xianwei Liu, Juan Luis Nicolau, Rob Law and Chunhong Li
This study aims to provide a critical reflection of the application of image recognition techniques in visual information mining in hospitality and tourism.
Abstract
Purpose
This study aims to provide a critical reflection of the application of image recognition techniques in visual information mining in hospitality and tourism.
Design/methodology/approach
This study begins by reviewing the progress of image recognition and advantages of convolutional neural network-based image recognition models. Next, this study explains and exemplifies the mechanisms and functions of two relevant image recognition applications: object recognition and facial recognition. This study concludes by providing theoretical and practical implications and potential directions for future research.
Findings
After this study presents different potential applications and compares the use of image recognition with traditional manual methods, the main findings of this critical reflection revolve around the feasibility of the described techniques.
Practical implications
Knowledge on how to extract valuable visual information from large-scale user-generated photos to infer the online behavior of consumers and service providers and its influence on purchase decisions and firm performance is crucial to business practices in hospitality and tourism.
Originality/value
Visual information plays a crucial role in online travel agencies and peer-to-peer accommodation platforms from the side of sellers and buyers. However, extant studies relied heavily on traditional manual identification with small samples and subjective judgment. With the development of deep learning and computer vision techniques, current studies were able to extract various types of visual information from large-scale datasets with high accuracy and efficiency. To the best of the authors’ knowledge, this study is the first to offer an outlook of image recognition techniques for mining visual information in hospitality and tourism.
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