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Article
Publication date: 10 June 2024

Xinghong Wang, Qiang Bian, Xinhua Gao, Chunjiang Zhao, Minghui Liu, Xinghui Xie and Bowen Jiao

The purpose of this paper is to establish a dynamic model considering the actual operating conditions of the train and to study the dynamic performance and vibration…

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Abstract

Purpose

The purpose of this paper is to establish a dynamic model considering the actual operating conditions of the train and to study the dynamic performance and vibration characteristics of axle box bearings under different operating conditions.

Design/methodology/approach

In this paper, based on the internal contact characteristics of double-row tapered roller bearings, a dynamic model considering the actual operating conditions of the train is established. The correctness of the model is verified by the vibration test of the bearing. Comparative analysis was conducted on the effects of axial force, radial force and rotational speed on the angular velocity of the cage, slip rate and vibration acceleration level of the inner ring.

Findings

As the force increases, the slip rate of the cages on both sides decreases, and the vibration acceleration level of the inner ring increases. With the increase of rotational speed, the cage slip rate of the axle box bearing increases and the vibration acceleration level of the inner ring increases.

Originality/value

A dynamic model is established considering the actual operating conditions, and the dynamic performance and vibration characteristics of the axle box bearing under different operating conditions are analyzed by numerical method. The research content can provide reference for the parameter design of high-speed railway bearings.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0085/

Details

Industrial Lubrication and Tribology, vol. 76 no. 5
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 20 September 2024

Ming-Hui Liu, Jianbin Xiong, Chun-Lin Li, Weijun Sun, Qinghua Zhang and Yuyu Zhang

The diagnosis and prediction methods used for estimating the health conditions of the bearing are of great significance in modern petrochemical industries. This paper aims to…

49

Abstract

Purpose

The diagnosis and prediction methods used for estimating the health conditions of the bearing are of great significance in modern petrochemical industries. This paper aims to discuss the accuracy and stability of improved empirical mode decomposition (EMD) algorithm in bearing fault diagnosis.

Design/methodology/approach

This paper adopts the improved adaptive complementary ensemble empirical mode decomposition (ICEEMD) to process the nonlinear and nonstationary signals. Two data sets including a multistage centrifugal fan data set from the laboratory and a motor bearing data set from the Case Western Reserve University are used to perform experiments. Furthermore, the proposed fault diagnosis method, combined with intelligent methods, is evaluated by using two data sets. The proposed method achieved accuracies of 99.62% and 99.17%. Through the experiment of two data, it can be seen that the proposed algorithm has excellent performance in the accuracy and stability of diagnosis.

Findings

According to the review papers, as one of the effective decomposition methods to deal with nonlinear nonstationary signals, the method based on EMD has been widely used in bearing fault diagnosis. However, EMD is often used to figure out the nonlinear nonstationarity of fault data, but the traditional EMD is prone to modal confusion, and the white noise in signal reconstruction is difficult to eliminate.

Research limitations/implications

In this paper only the top three optimal intrinsic mode functions (IMFs) are selected, but IMFs with less correlation cannot completely deny their value. Considering the actual working conditions of petrochemical units, the feasibility of this method in compound fault diagnosis needs to be studied.

Originality/value

Different from traditional methods, ICEEMD not only does not need human intervention and setting but also improves the extraction efficiency of feature information. Then, it is combined with a data-driven approach to complete the data preprocessing, and further carries out the fault identification and classification with the optimized convolutional neural network.

Details

Robotic Intelligence and Automation, vol. 44 no. 6
Type: Research Article
ISSN: 2754-6969

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Article
Publication date: 15 February 2021

Sawssan Jbir, Souhir Neifar and Yosra Makni Fourati

This paper aims to examine the impact of CEO (chief executive officer) compensation and CEO attributes on the level of tax aggressiveness of French companies.

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Abstract

Purpose

This paper aims to examine the impact of CEO (chief executive officer) compensation and CEO attributes on the level of tax aggressiveness of French companies.

Design/methodology/approach

The sample comprises 180 firm-year observations of 40 companies listed on the CAC 40 during the period ranging from 2008 to 2018. For the purpose of overcoming the problems of heteroscedasticity and autocorrelation, the authors apply the generalized least square panel regression.

Findings

This study’s results corroborate the importance of CEO compensation and CEO attributes as determinants of tax aggressiveness. In addition, the authors come up with the fact that CEO compensation has a negative effect on tax aggressiveness, and that older CEOs and CEOs with accounting expertise are negatively linked with tax aggressiveness. The authors also find out that there is a positive relationship between the CEO tenure and tax aggressiveness. Moreover, the authors report that foreign CEOs are more likely to engage in tax aggressiveness practices than local CEOs.

Research limitations/implications

The unavailability of all annual reports and the use of only one proxy to measure tax aggressiveness present limitations. This study shows significant implications for shareholders, regulators and researchers. As a matter of fact, shareholders will observe the effect of appointing a foreign CEO on the tax aggressiveness level. This study may also provide regulators with new ideas regarding the role of the CEO and its impact on aggressive decision-making. And it brings forth new insight for researchers through adding a foreign CEO as a new determinant of tax aggressiveness.

Originality/value

According to the authors’ knowledge, this study is the first to provide empirical evidence regarding the effect of both CEO compensation and CEO attributes on tax aggressiveness. It also looks into the impact of a foreign CEO on tax aggressiveness.

Details

Journal of Financial Crime, vol. 28 no. 4
Type: Research Article
ISSN: 1359-0790

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Article
Publication date: 29 March 2011

Tonglin Liu, Chengdong Wu, Bin Li, Shugen Ma and Jinguo Liu

The purpose of this paper is to describe a shape‐shifting robot with diverse configurations, named “AMOEBA‐I”, which has been developed for search and rescue operations. The…

1661

Abstract

Purpose

The purpose of this paper is to describe a shape‐shifting robot with diverse configurations, named “AMOEBA‐I”, which has been developed for search and rescue operations. The accessibility of this robot to unstructured environment is efficiently enhanced by changing its configuration. So the shape and reconfiguration of the robot should be considered in AMOEBA‐I path planning to improve work ability of the robot in complex environment. The unique accessibility of AMOEBA‐I is thus fully displayed.

Design/methodology/approach

An auto‐adapted path‐planning method is presented for AMOEBA‐I by introducing the reconfigurable ability of the robot into the modified potential field method. The modified potential field method solves the local minimum problem and goal‐unreachable with nearby obstacles (GUWNO) effectively. A method of the shape‐shifting robot's passing through the narrow space is studied by combining the corner detection with the modified potential field method.

Findings

The ability of the robot to automatically change configuration to pass through a narrow space is proven through the experiment. Simulation results show that the robot can change its own configurations to perform auto‐adapted path planning corresponding to the environmental variation. Therefore, the proposed method can improve the probability of completing the path planning. As a result, this method will shorten the path length and complete the rescue operation more effectively.

Originality/value

The paper presents an effective auto‐adapted path‐planning method that integrates the reconfigurable ability of the robot into the modified potential field method in order to realize the auto‐adapted path planning.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 4 no. 1
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 18 August 2023

Mohamed Mihilar Shamil, Dulni Wanya Gooneratne, Dasitha Gunathilaka and Junaid M. Shaikh

This study examines the effect of board characteristics on the tax aggressiveness of listed companies on the Colombo Stock Exchange in Sri Lanka.

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Abstract

Purpose

This study examines the effect of board characteristics on the tax aggressiveness of listed companies on the Colombo Stock Exchange in Sri Lanka.

Design/methodology/approach

The sample consists of 264 firm-year observations of non-financial listed companies in Sri Lanka from 2014 to 2019. The dynamic panel system GMM technique was used to test the hypotheses, and further analyses were performed using the propensity score matching technique.

Findings

All four effective tax rate measures' mean values were lower than the statutory tax rate, indicating the likelihood of tax planning. Whether board attributes are likely to mitigate tax aggressiveness is uncertain because the results are inconsistent and depend on the ETR measure. Similarly, the logistic regression results derived using the PSM approach are inconsistent, suggesting that board characteristics may have a limited effect on tax aggressiveness. Hence, the corporate governance-tax aggressiveness nexus is limited in the case of Sri Lanka.

Research limitations/implications

This investigation is limited to non-financial listed companies in Sri Lanka and incorporates only four tax aggressiveness measures. Findings are imperative for policymakers, regulators, and professional bodies to improve corporate governance codes and rules to enhance organisational transparency toward corporate tax payments.

Social implications

Aggressive tax planning by companies will reduce government tax revenue, hinder social progress, and cause public mistrust of large corporations and institutions.

Originality/value

This study provides insight into the nexus between corporate governance and tax aggressiveness in a middle-income economy in South Asia hit by an economic crisis where tax revenue has fallen and tax enforcement is weak.

Details

Journal of Accounting in Emerging Economies, vol. 14 no. 4
Type: Research Article
ISSN: 2042-1168

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Article
Publication date: 11 June 2018

Tao Wang, Xiaowei Liu, Minghui Kang and Haichao Zheng

The purpose of this paper is to examine factors affecting fundraisers’ voluntary information disclosure on crowdfunding platforms based on risk-perception theory (RPT).

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Abstract

Purpose

The purpose of this paper is to examine factors affecting fundraisers’ voluntary information disclosure on crowdfunding platforms based on risk-perception theory (RPT).

Design/methodology/approach

Structural equation modeling was employed to test the hypothesized relationships using data collected from China.

Findings

The authors found that plagiarism risk and financing risk are two important variables that influence fundraisers’ voluntary information disclosure. Specifically, plagiarism risk has a negative effect on fundraisers’ voluntary information disclosure, while financing risk has a positive effect on fundraisers’ voluntary information disclosure. Plagiarism risk is affected by information concerns, perceived control, project innovativeness, and quality of alternatives, while financing risk is affected by protection policy and information norms.

Originality/value

This study enriches crowdfunding research by identifying factors influencing fundraisers’ voluntary information disclosure and contributes to RPT by applying it in a new crowdfunding context.

Details

Online Information Review, vol. 42 no. 3
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 14 October 2020

Haiyan Ge, Xintian Liu, Yu Fang, Haijie Wang, Xu Wang and Minghui Zhang

The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.

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Abstract

Purpose

The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.

Design/methodology/approach

Based on the bootstrap method and the reliability of the original samples, two error ellipse models are proposed. The error ellipse model reasonably predicts that the discrete law of expanded virtual samples obeys two-dimensional normal distribution.

Findings

By comparing parameters obtained by the bootstrap method, improved bootstrap method (normal distribution) and error ellipse methods, it is found that the error ellipse method achieves the expansion of sampling range and shortens the confidence interval, which improves the accuracy of the estimation of parameters with small samples. Through case analysis, it is proved that the tangent error ellipse method is feasible, and the series of S-N curves is reasonable by the tangent error ellipse method.

Originality/value

The error ellipse methods can lay a technical foundation for life prediction of products and have a progressive significance for the quality evaluation of products.

Details

Engineering Computations, vol. 38 no. 1
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 6 June 2024

Mingze Jiang, Minghui Jiang, Jiaxin Xue, Wentao Zhan and Yuntao Liu

In the construction of charging piles, traditional gas stations possess significant advantages in terms of regional and financial resources. The transformation of gas stations…

47

Abstract

Purpose

In the construction of charging piles, traditional gas stations possess significant advantages in terms of regional and financial resources. The transformation of gas stations into “refueling+charging” integrated gas stations relies on charging pile manufacturers and government, involving coordination issues with them. This paper aims to propose a joint coordination contract based on the principles of cost-sharing and revenue-sharing. The objective is to achieve systemic coordination among integrated gas stations, charging pile manufacturers, and the government, optimizing the planning of the quantity of charging piles and charging prices.

Design/methodology/approach

We have constructed an operational system model based on the Stackelberg game between charging pile manufacturers, integrated gas stations, and government. We have analyzed the optimal quantity of charging piles and charging prices under the impact of government subsidy policies in both decentralized and centralized operation scenarios. Additionally, we have proposed a joint coordination contract based on cost-sharing and revenue-sharing to coordinate this tripartite operational system.

Findings

The study reveals that, under simple cooperative contracts, the optimal decision does not yield maximum profits for the operational system due to the “double-marginal effect”. However, under the impact of the joint coordination contract, which combines cost-sharing and revenue-sharing as proposed in this paper, gas stations will consider the charging pile manufacturer’s costs and government subsidies when determining the optimal quantity and price. This not only achieves system coordination but also results in Pareto improvement in the benefits of all system members by adjusting contract parameters.

Originality/value

The value of this research lies in its insights into operational strategies for the construction of charging piles for electric vehicles. By analyzing optimal decisions under different contract arrangements, the study provides guidance to relevant stakeholders, enabling the operational system to achieve greater efficiency and coordination and realize more extensive Pareto improvements. Furthermore, it extends the application of coordination contract theory in the context of charging pile construction and operations.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 31 December 2024

Zhenzhong Zhu, Xiaowen Zhao, Minghui Shan and Haipeng (Allan) Chen

Language styles of online reviews are becoming increasingly important in consumers’ purchase decisions. However, there are inconsistencies in research on the effects of literal…

68

Abstract

Purpose

Language styles of online reviews are becoming increasingly important in consumers’ purchase decisions. However, there are inconsistencies in research on the effects of literal and figurative language styles in online reviews on service consumption. Drawing upon construal level theory, this research explores the effects of literal and figurative online reviews on consumers’ word-of-mouth recommendations and their internal mechanisms in the context of service consumption. In addition, this research identifies service types (experience vs credence services) as boundary conditions under which online review language styles play a role.

Design/methodology/approach

Three studies are designed to verify the effect of language style in online reviews on consumer word-of-mouth recommendations. Study 1 (N = 195) tests the interaction between construal level and (literal vs figurative) language style on consumers’ word-of-mouth recommendations. Study 2 (N = 191) identifies the depth of information processing as an underlying mechanism. Study 3 (N = 466) examines the boundary condition due to service type. The main methods used are independent sample t-test, ANOVA and bootstrapping.

Findings

The results illustrate that (1) consumers at different construal levels prefer online reviews with different language styles, and this can influence their word-of-mouth recommendations: consumers with a low construal level prefer online reviews with a literal language style, while those with a high construal level prefer online reviews with a figurative language style; (2) the depth of information processing plays a mediating role in the above interaction effect and (3) service type serves as a boundary condition such that the preference for literal (vs figurative) language style among low- (vs high-) construal-level consumers holds only for experience services; for credence services, online reviews with a literal language style enhance word-of-mouth recommendations, regardless of consumers’ construal level. The findings shed light on the drivers of word-of-mouth recommendations and provide insights to promote more effective word-of-mouth recommendations.

Originality/value

Drawing upon the construal level theory, this research explores the factors that influence online review language styles on consumer word-of-mouth recommendations and their underlying mechanisms and discusses the moderating effects of different service types (i.e. experience services and trust services). It not only sheds light on the contradictions in the previous literature but also provides new insights for academics and business managers to deepen their understanding of facilitating word-of-mouth recommendations.

Details

Journal of Service Management, vol. 36 no. 1
Type: Research Article
ISSN: 1757-5818

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Article
Publication date: 31 July 2024

Malan Huang, Minghui Hua, Jin Li and Yanqi Han

As an important engine of economic growth, the digital economy is bringing new opportunities for the promotion of entrepreneurship. However, key questions regarding the extent of…

216

Abstract

Purpose

As an important engine of economic growth, the digital economy is bringing new opportunities for the promotion of entrepreneurship. However, key questions regarding the extent of the effect of the digital economy on entrepreneurship remain unanswered. This study examines how the digital economy influences entrepreneurship in China using provincial data from 2011–2020, applying convergence tests and spatial econometric models.

Design/methodology/approach

Based on theoretical analysis and using macro provincial data covering the period of 2011–2020, we adopt a diversified empirical analytical method and apply a combination of the convergence trend test, spatial auto correlation test, and spatial Durbin model to test the research hypotheses.

Findings

First, there is spatial correlation between the digital economy and entrepreneurship. Second, the overall trend of China’s digital economy shows s convergence, with the whole country and the eastern region showing absolute β convergence and the whole country as well as the central and western regions showing β conditional convergence. Third, the digital economy can significantly promote entrepreneurship and has spatial spillover effects. Moreover, higher education has a negative moderating effect on the process of digital economy empowering entrepreneurship.

Research limitations/implications

Studying the spatially correlated impacts of the digital economy on entrepreneurship enhances our understanding of its contribution to economic growth. Policy-makers can use these findings to develop targeted digital infrastructure investments in lagging provinces, guide entrepreneurs to better grasp the opportunities of the digital economy, and provide support for innovation and entrepreneurship. The findings also could offer Chinese experience that can be used to guide developing countries in utilizing the digital economy to enable entrepreneurship.

Originality/value

This paper expands and enriches the analytical focus on digital economy-empowered entrepreneurship and complements the current theoretical research on the moderating effect of the digital economy in empowering entrepreneurship.

Details

Management Decision, vol. 63 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

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