Yafeng Zhang, Shaohua Zhang, Gang Zhou, Jiang Zhang, Tao Qing and Ningning Zhou
Random point-contact between the space bearing retainer and the rolling elements may cause wear of the space bearing retainer. The paper aims to clarify the friction and wear…
Abstract
Purpose
Random point-contact between the space bearing retainer and the rolling elements may cause wear of the space bearing retainer. The paper aims to clarify the friction and wear behaviors of polyimide bearing retainer under point-contact condition.
Design/methodology/approach
Space bearing retainers were cut into flat specimens and the tribological behaviors of the specimens were studied under point-contact condition using a friction and wear testing machine. Different sliding velocities and normal loads were used to simulate the running state of space bearing retainer. The wear behaviors of the space bearing retainer were analyzed by SEM and white light interferometer.
Findings
The friction coefficient of the polyimide composites decreased with increase in sliding velocity from 1 to 5 mm/s. Moreover, with increase in sliding velocity and normal load, the wear rate of the polyimide composites decreased and increased, respectively. Moreover, the wear behaviors of the polyimide composites were mainly determined by the combined actions of ploughing friction and adhesive friction. The lubricating properties of transfer film and wear debris were limited under point-contact condition.
Practical implications
The paper includes implications for the understanding of the wear mechanism of the polyimide composites space bearing retainer under point-contact condition and then to optimize space bearing retainer materials further.
Originality/value
Under point-contact condition, wear debris can hardly participate in the friction process because of limited contact area. Consequently, the wear debris has limited impact on the wear process to decrease the friction and wear.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2020-0017/
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The purpose of this paper is to study a finite‐thrust orbital transfer optimization problem via a new optimal control method‐Gauss pseudospectral method.
Abstract
Purpose
The purpose of this paper is to study a finite‐thrust orbital transfer optimization problem via a new optimal control method‐Gauss pseudospectral method.
Design/methodology/approach
Based on the dynamic equations with the pseudo‐equinoctial elements as state variable, optimality condition is derived and the optimization problem is converted into nonlinear programming problem. Gauss pseudospectral method is used to avoid the two‐point boundary value problem. The dynamic equations are converted into static parameter optimization problem. The state variables and control variables are selected as optimal parameters at all collocation nodes. Two numerical examples of orbital transfer with coplanar and different planes are analyzed, respectively.
Findings
The simulation results demonstrate that Gauss pseudospectral method is not sensitive to the initial conditions of orbital transfer. They also show good robustness and control facility.
Originality/value
The precision and efficiency of this trajectory optimization method are demonstrated by applying it to space vehicle orbital transfer with finite thrust optimization problem.
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Min Bai, Dong Zhang, Fangying Dong and Yafeng Qin
The concept of cost stickiness has emerged as a crucial factor affecting organizational resilience. While prior literature has mainly focused on the short-term performance…
Abstract
Purpose
The concept of cost stickiness has emerged as a crucial factor affecting organizational resilience. While prior literature has mainly focused on the short-term performance implications of cost stickiness, this study aims to investigate its influence on organizational resilience over the long term.
Design/methodology/approach
Using data from Chinese A-share listed companies spanning from 2010 to 2019, we examine how cost stickiness impacts organizational resilience and explore the underlying mechanisms. This study contributes to the theoretical understanding of cost stickiness and organizational resilience and offers practical insights for businesses aiming to strengthen their resilience amid economic uncertainties.
Findings
Our findings suggest that cost stickiness not only promotes sustained performance growth and stabilizes financial outcomes but also enhances organizational resilience. Moreover, we find that macroeconomic policy uncertainty and micro-level corporate governance positively moderate the relationship between cost stickiness and organizational resilience. Additionally, our analysis reveals that organizational slack plays a partial mediating role in this relationship.
Research limitations/implications
It is essential to clarify the concepts of cost and cost stickiness. Enterprises should scientifically implement the policy concept of “cutting overcapacity and reducing costs” while maintaining a reasonable cost stickiness.
Practical implications
Shareholders and institutional investors of enterprises should pay close attention to the behavior of managers to reduce the possibility of “inferior” stickiness due to agency problems. Both external institutional investors and inner shareholders play essential roles in supervising managers.
Social implications
Enterprises should focus on cultivating organizational resilience. Resilience is vital for an enterprise to adapt quickly to external changes, overcome adversity, and make progress. Enterprises should reduce the excessive emphasis on short-term performance, focus on long-term development, cultivate strategic thinking, and establish a corporate culture.
Originality/value
The results show that cost stickiness can enhance organizational resilience. Economic policy uncertainty, the shareholding ratio of institutional investors, and the shareholding ratio of the largest shareholder can inhibit the opportunistic behavior of management, thereby positively regulating the relationship between cost stickiness and organizational resilience.
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Chen Tao, Yafeng Duan and Xinghua Hong
The purpose of this paper is to advance a digital technology that is intended to bring about innovations on the existing textile patterns.
Abstract
Purpose
The purpose of this paper is to advance a digital technology that is intended to bring about innovations on the existing textile patterns.
Design/methodology/approach
The pattern is deemed as a relation function between colors and positions which can be learnt by the artificial neural network (ANN). The outputs of the ANN are used for the reconstruction of the pattern and the innovation is performed by interceptors in the input/output layer. The ANN is carried out with one input layer, one output layer and several hidden layers, and the capacity of the architecture is adjusted by the scale of hidden layers to accommodate different function relations of the patterns. The training is conducted repeatedly on a sample set extracted from the pixels of the pattern image to minimize the error, and the chromatic outputs of the architecture are replaced to their origins so as to rebuild the pattern. Then, the interceptors are installed into the input and output layers to modulate the positions and the colors, and consequently the innovations are achieved on the geometric formation and color distribution of the pattern.
Findings
It has turned out that the precision of reconstruction is concerned with network scale, training epochs and color mode of the sample set. Four primary innovative effects including stripes, twisters, sandification and overprints have been qualified in terms of interceptors.
Originality/value
This study introduces ANN into textile pattern generation and provides a novel way to perform digital innovation of textile patterns.
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Baoku Li, Ruoxi Yao and Yafeng Nan
Benefiting from the development and innovation of artificial intelligence and affective computing technology, social chatbots that integrate cognitive analysis and affective…
Abstract
Purpose
Benefiting from the development and innovation of artificial intelligence and affective computing technology, social chatbots that integrate cognitive analysis and affective social services have flooded into the consumer market. For cognition and emotion-oriented tasks, social chatbots do not always receive positive consumer responses. In addition, consumers have a contradictory attitude toward the anthropomorphism of chatbots. Therefore, from the perspective of mind perception and the two dimensions of social judgment, this research explores the mechanism of consumer responses to anthropomorphic interaction styles when social chatbots complete different service tasks.
Design/methodology/approach
This paper utilizes three behavior experimental designs and survey methods to collect data and the ANOVA, t-test and bootstrap analysis methods to verify the assumed hypotheses.
Findings
The results indicate that when the service task type of a social chatbot is cognition-oriented, compared to a warm anthropomorphic interaction style, a competent anthropomorphic interaction style can improve consumer responses more effectively. During this process, agent-mind perception plays a mediating role. When the service task type of a social chatbot is emotion-oriented, compared with a competent anthropomorphic conversation style, a warm anthropomorphic conversation style can improve consumer responses. Experience-mind perception mediates this influencing relationship.
Originality/value
The research results theoretically enrich the relevant research on the anthropomorphism of social chatbots and expand the application of the theory of mind perception in the fields of artificial intelligence and interactive marketing. Our findings provide theoretical guidance for the anthropomorphic development and design of social chatbots and the practical management of service task scenarios.
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Baoku Li and Yafeng Nan
The purpose of this paper is to explore the main effect of brand perception (brand warmth vs brand competence) on purchase intention, the mediating effect of brand love and the…
Abstract
Purpose
The purpose of this paper is to explore the main effect of brand perception (brand warmth vs brand competence) on purchase intention, the mediating effect of brand love and the moderating effects of the emotional polarity of online reviews.
Design/methodology/approach
This paper utilizes experimental design and machine learning to collect and clean data. The ANOVA, t-test and bootstrap analysis methods are used to verify the assumed hypotheses.
Findings
Findings demonstrate that brand perception influences purchase intention with the mediating effect of brand love and the moderating effect of the emotional polarity of online reviews. In particular, brand perception can promote brand love and further enhance purchase intention. When consumers browse positive online reviews, brand warmth (vs brand competence) will lead to higher purchase intention. However, when consumers browse negative online reviews, brand competence (vs brand warmth) will weaken purchase intention more.
Originality/value
The findings of the current research contribute to purchase intention in the context of online reviews by highlighting the importance of brand love and the key role of brand perception, to which prior studies have paid little attention. The authors' research also provides some suggestions for enterprises about how to strengthen brand love by investigating consumers' perceptions of brand warmth and brand competence and further increasing purchase intention while consumers face positive or negative online reviews.
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Yafeng Fan, Jing Jiang and Zuohao Hu
In daily life, consumers usually experience economic limitations on their consumption, which in turn results in experiencing financial constraints. The purpose of this article is…
Abstract
Purpose
In daily life, consumers usually experience economic limitations on their consumption, which in turn results in experiencing financial constraints. The purpose of this article is to examine how feeling financially constrained influences variety seeking in consumption.
Design/methodology/approach
The authors conducted three experiments to test the proposed hypotheses by applying multiple methods of manipulation of financial constraints and different measures of variety seeking.
Findings
The authors found that feeling financially constrained increases consumers’ insecurity, which in turn decreases their variety-seeking behavior. Additionally, the authors noted that individuals’ positive illusion could moderate the aforementioned effect. The negative effect of financial constraints on variety seeking only existed among consumers with a low positive illusion.
Practical implications
The findings in this article could help marketers attain a better understanding of consumers’ choices under financial constraints and could help retailers optimize their product lines and distribution.
Originality/value
This research marks the first attempt to examine the relationship between financial constraint and variety seeking. The findings make for a valuable addition to both the financial constraint and variety-seeking literature reviews. The research study also extends the literature on how insecurity and positive illusion influence individuals’ decisions in the consumption context.
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Baoku Li, Yafeng Nan and Ruoxi Yao
The purpose of this paper is to explore the effect of cuteness and cool on the perceived quality of digital products, the mediating effect of brand perception (warmth and…
Abstract
Purpose
The purpose of this paper is to explore the effect of cuteness and cool on the perceived quality of digital products, the mediating effect of brand perception (warmth and competence) and the moderating effect of the individual perception level.
Design/methodology/approach
This paper utilizes experimental design and survey methods to collect data and the ANOVA, independent sample t-test and bootstrap analysis methods to verify the assumed hypotheses.
Findings
Studies 1 and 2 demonstrate that cuteness (vs cool) is more likely to promote the perception of brand warmth (vs competence), and the brand perception plays a mediating role between cuteness (cool) and the perceived quality. Study 3 replicates the findings of Study 2 and indicates that people with high-cuteness (vs low-cuteness) perception are the same to perceive the brand warmth to promote the perceived quality of digital products, but people with high-cool (vs low-cool) perception are more likely to perceive the brand competence to promote the perceived quality of digital products.
Practical implications
Based on the conclusions in this paper, marketers could emphasize the cool information of digital products in advertisements to promote the perceived quality to promote younger consumers' willingness to pay (WTP). Furthermore, firms could shape warm brand images by the perception of cuteness because cuteness is positively associated with the warmth of brand perception (e.g. the logo of Three Squirrels, a Chinese nut business brand that consists of three cute squirrels).
Originality/value
From a theoretical standpoint, this paper contributes to the brand perception when consumers accept product information with the characteristics of cuteness or cool. Second, a model of perceived quality of digital products is built based on the stereotype content theory. Third, this paper considers individual perception levels on cuteness and cool as the boundaries to conduct further conceptual model.
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Wang Xinlong, Ji Jiaxing and Li Yafeng
Troposphere delay is one of the important error sources in global positioning system (GPS) positioning. The purpose of this paper is to analyze the accuracy and adaptability of…
Abstract
Purpose
Troposphere delay is one of the important error sources in global positioning system (GPS) positioning. The purpose of this paper is to analyze the accuracy and adaptability of GPS troposphere error correction models, and to provide theoretic foundation for model selection in GPS accurate positioning.
Design/methodology/approach
The principle of troposphere delay error effecting on GPS signals is theoretically analyzed. The model peculiarity and modeling method of the four common troposphere delay correction models: Hopfield, Saastamoinen, Black, and Egnos models are discussed detailedly. With the measurement data from Crustal Dynamics Data Information System of the technical support institution for GPS, the accuracy and applicability of the four models are quantificationally studied.
Findings
For a low elevation, Hopfield, Saastamoinen, and Black models show great agreement with each other, and have quite high precision. In the zenith direction, the maximal troposphere delay error of three models are all less than 1 dm, but Black and Hopfield models have higher precision than Saastamoinen model. Black model can be regarded as the improved form of Hopfield model: for a high elevation, precision of two models are close, while for a low elevation, Black model shows to be more effective than Hopfield model. The precision of Egnos model is quite lower than that of Black, Hopfield, and Saastamoinen models. However, Egnos model can be a better choice when it is difficult to obtain real‐time meteorological data in certain application environment.
Originality/value
This paper makes thorough research on GPS troposphere delay error correction models. The conclusions are presented for selecting troposphere delay models, which are useful for practical engineering application.
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Yafeng Qin, Zikai Yang and Min Bai
This study examines the impact of the $60 billion tariff announcement of the US government on the Chinese exporting firms. In particular, it focuses on the firms whose revenues…
Abstract
Purpose
This study examines the impact of the $60 billion tariff announcement of the US government on the Chinese exporting firms. In particular, it focuses on the firms whose revenues are highly dependent on the US economy.
Design/methodology/approach
This study uses an experimental analysis and the event study methodology. The sample includes firms listed in mainland China and Hong Kong Stock Exchanges that have the highest revenues from exporting to the USA. The data are obtained from China Stock Market and Accounting Research (CSMAR) and DataStream.
Findings
The authors find that the tariff announcement has significantly negative impacts on stock performance both before and after the announcement, and the impacts are heterogeneous across all sample firms. For A shares listed in Mainland China, firms with more revenues from the US experience greater price drops on the announcement day, regardless of being in the targeted industry or not. But such finding is absent from H shares listed in Hong Kong. The authors also find that for all the firms, greater pricing power can alleviate the impacts of the tariff announcement.
Research limitations/implications
The results provide implications to investors, policymakers and regulators on the further US-China cooperation in the future.
Originality/value
This is the first study documenting the heterogeneity of the impact of the tariff announcement and thus contributes to the prosperous studies on the varied firm-level responses in the Chinese stock market, and to the burgeoning literature by filling the gap of the financial market responses to the protectionist policy announcement.