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1 – 9 of 9Qing Peng, Xuesong Tang and Yuxin Zheng
Extensively public concern on “Huge Executive Compensation” makes it urgent to investigate the reasonability of high executive compensation. The purpose of this paper is to…
Abstract
Purpose
Extensively public concern on “Huge Executive Compensation” makes it urgent to investigate the reasonability of high executive compensation. The purpose of this paper is to explore the effectiveness of compensation contracting based on the specific responsibility of executives. More specifically, this paper is to examine whether high compensation is helpful to mitigate agency problems.
Design/methodology/approach
Considering that board secretaries of listed companies are responsible for information disclosure in China, this paper examines the effect of board secretaries’ excess compensation on firms’ disclosure quality using listed company data from 2007 to 2015. The first measure of disclosure quality is based on the disclosure violation behavior of firms, and the second is KV value that represents the extent to which the investors relay on the stock trading volume. To provide additional confidence that the findings are robust, this paper further conducts two indirect tests based on rumors and cost of equity capital.
Findings
The results show that board secretaries’ excess compensation is negatively associated with the probability of information disclosure violation and also negatively associated with firms’ KV value, suggesting firms that pay high compensation to their information providers are more likely to provide high-quality disclosures. Besides, this paper further finds that board secretaries’ excess compensation is negatively related to the incidence of rumors, the number of rumors incurred or the cost of equity capital.
Research limitations/implications
Overall, the findings provide support to the efficient contracting of executive compensation, which implies that highly paid board secretaries would be better information providers than those poorly paid.
Practical implications
This paper provides empirical evidence that firms’ disclosure quality can be improved by modifying the compensation contract of information providers. This may indicate a new way to improve the quality of disclosures, so as to mitigate the agency problem.
Social implications
In spite of the public criticism on executive excess compensation, the high compensation is not always a signal of manipulation, collusion and self-interest. It also can be a signal of individual talents and great efforts. Board secretaries are worth to be highly paid if they can improve firms’ disclosures, thereby reducing the incidence of rumors and reducing the cost of equity capital.
Originality/value
This paper is the first research to examine the effectiveness of compensation contracting based on information providers’ disclosure responsibility in the Chinese context. It documents a positive relation between board secretaries’ excess compensation and corporate disclosure quality.
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Xian Zhang, Gedong Jiang, Hao Zhang, Xialun Yun and Xuesong Mei
The purpose of this paper is to analyze the dependent competing failure reliability of harmonic drive (HD) with strength failure and degradation failure.
Abstract
Purpose
The purpose of this paper is to analyze the dependent competing failure reliability of harmonic drive (HD) with strength failure and degradation failure.
Design/methodology/approach
Based on life tests and stiffness degradation experiments, Wiener process is used to establish the accelerated performance degradation model of HD. Model parameter distribution is estimated by Bayesian inference and Markov Chain Monte Carlo (MCMC) and stiffness degradation failure samples are obtained by a three-step sampling method. Combined with strength failure samples of HD, copula function is used to describe the dependence between strength failure and stiffness degradation failure.
Findings
Strength failure occurred earlier than degradation failure under high level accelerated condition; degradation failure occurred earlier than strength failure under medium- or low-level accelerated condition. Gumbel copula is the optimum copula function for dependence modeling of strength failure and stiffness degradation failure. Dependent competing failure reliability of HD is larger than independent competing failure reliability.
Originality/value
The reliability evaluation method of dependent competing failure of HD with strength failure and degradation failure is first proposed. Performance degradation experiments during accelerated life test (ALT), step-down ALT and life test under rated condition are conducted for Wiener process based step-down accelerated performance degradation modeling.
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Liang Li, Xuesong Chu and Guangming Yu
The paper aims to construct a method to simulate the relationship between the parameters of soil properties and the area of sliding mass of the true slip surface of a landslide.
Abstract
Purpose
The paper aims to construct a method to simulate the relationship between the parameters of soil properties and the area of sliding mass of the true slip surface of a landslide.
Design/methodology/approach
The smoothed particle hydrodynamics (SPH) algorithm is used to calibrate a response surface function which is adopted to quantify the area of sliding mass of the true slip surface for each failure sample in Monte Carlo simulation. The proposed method is illustrated through a homogeneous and a heterogeneous cohesive soil slope.
Findings
The comparison of the results between the proposed method and the traditional method using the slip surface with minimum factor of safety (FSmin) to quantify the failure consequence has shown that the landslide risk tends to be attributed to a variety of risk sources, and that the use of a slip surface with FSmin to quantify the consequence of a landslide underestimates the landslide risk value. The difference of the risk value between the proposed method and the traditional method increases dramatically as the uncertainty of soil properties becomes significant.
Practical implications
A geotechnical engineer could use the proposed method to perform slope failure analysis.
Originality/value
The failure consequence of a landslide can be rationally predicted using the proposed method.
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Shengzhi Chen, Minghua Zhu, Qing Zhang, Xuesong Cai and Bo Xiao
The differential magnetic gradient tensor system is usually constructed from the three-axis magnetic sensor array. While the effects of measurement error, sensor performance and…
Abstract
Purpose
The differential magnetic gradient tensor system is usually constructed from the three-axis magnetic sensor array. While the effects of measurement error, sensor performance and baseline distance on localization performance of such systems have been widely reported, the research about the effect of spatial design of sensor array is less presented. This paper aims to provide a spatial design method of sensor array and corresponding optimization strategy to localization based on magnetic tensor gradient to get the optimum design of the sensor array. Based on the results of simulation, magnetic localization systems constructed from the proposed array and the traditional array have been built to carry out a localization experiment. The results of experiment have verified the effectiveness of magnetic localization based on the proposed array.
Design/methodology/approach
The authors focus on the localization of the magnetic target based on magnetic gradient by using three-axis magnetic sensor array and combine a design method with corresponding optimization strategy to get the optimum design of the sensor array.
Findings
This paper provides an array design and optimization method for magnetic target localization based on magnetic gradient to improve the localization performance.
Originality/value
In this paper, the authors focus on the magnetic localization based on magnetic gradient by using three-axis magnetic sensors and study the effect of the spatial design of sensor array on localization performance.
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Chunbao Liu, Weiyang Bu, Dong Xu, Yulong Lei and Xuesong Li
This paper aims to improve performance prediction and to acquire more detailed flow structures so as to analyze the turbulence in complex rotor-stator flow.
Abstract
Purpose
This paper aims to improve performance prediction and to acquire more detailed flow structures so as to analyze the turbulence in complex rotor-stator flow.
Design/methodology/approach
Hydraulic retarder as typical fluid machinery was numerically investigated by using hybrid Reynolds-averaged Navier–Stokes (RANS)/large eddy simulation (LES) models CIDDES Algebraic Wall-Modeled Large Eddy Simulation (LES) (WMLES) S-Ω and dynamic hybrid RANS/LES (DHRL). The prediction results were compared and analyzed with a RANS model shear stress transport (SST) k-omega which was a recommended choice in engineering.
Findings
The numerical results were verified by experiment and indicated that the predicted values for three hybrid turbulence models were more accurate. Then, the transient flow field was further analyzed visually in terms of turbulence statistics, Reynolds number, pressure-streamline, vortex structure and eddy viscosity ratio. The results indicated that HRL approaches could capture unsteady flow phenomena.
Practical implications
This study achieves both in performance prediction improvement and better flow mechanism understanding. The computational fluid dynamics (CFD) could be used instead of flow visualization to a certain extent. The improved CFD method, the fine computational grid and the reasonable simulation settings jointly enhance the application of CFD in the rotor-stator flow.
Originality/value
The improvement was quite encouraging compared with the reported literatures, contributing to the CFD playing a more important role in the flow machinery. DHRL provided the detailed explanation of flow transport between rotor and stator, which was not reported before. Through it, the flow mechanism can be better understood.
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With recent advances in internet technologies, internet of things (IoT) technology is having an increasing impact on our daily lives, and beginning to offer interesting and…
Abstract
Purpose
With recent advances in internet technologies, internet of things (IoT) technology is having an increasing impact on our daily lives, and beginning to offer interesting and advantageous new services. The current research aims to develop and test an integrative model of factors determining consumers' acceptance of IoT technology.
Design/methodology/approach
Based on technology acceptance model (TAM), the authors proposed an IoT acceptance model that consists of three technology factors (perceived usefulness, perceived ease of use, and trust); one social context factor (social influence); and two individual user characteristics (perceived enjoyment and perceived behavioral control). Data from 368 Chinese consumers were used to test the research model through the use of structural equation modeling.
Findings
The results showed particularly strong support for the effects of perceived usefulness, perceived ease of use, social influence, perceived enjoyment, and perceived behavioral control. However, trust played an insignificant role in predicting the intention. In addition, perceived ease of use and trust were found to affect perceived usefulness. Compared with the individual TAM model, the integrated model provides more explanation on user behavioral intention toward IoT usage.
Originality/value
The integrated model explores the driving factors of individuals' willingness to use IoT technology from the perspectives of the technology itself, social context and individual user characteristic. It links the constructs of social influence, enjoyment, and perceived behavioral control to the TAM and successfully extends TAM in the IoT technology context.
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Jia Chen Tu, Xiao Ming Qian and Pei Huang Lou
The paper aims to propose general design rules and route plan for automated guided vehicle system (AGVS). The AGVS is applied to automated meter verification areas through a case…
Abstract
Purpose
The paper aims to propose general design rules and route plan for automated guided vehicle system (AGVS). The AGVS is applied to automated meter verification areas through a case study of meter verification shop floor to verify the feasibility.
Design/methodology/approach
The paper gives an appropriate route design for AGVS and proposes an optimized strategy for designed routes and a control system to manage traffic conflict.
Findings
This case study indicates that the application of AGVS can highly improve the efficiency of manufacturing and production. Besides, a reasonable transportation plan is beneficial in making the system run smoothly and in cutting conveying time.
Practical implications
The application of AGVS integrates a variety of advanced technologies (i.e. information technology, artificial intelligence, etc.) into the electricity meter verification system, which brings great economic and social benefits via enhancing the verification efficiency and reducing the total labor costs.
Originality/value
The application proposed in the paper solves the problem that the verification almost relies on workers, labor intensity is high and work efficiency is hard to improve. Furthermore, the general rules and strategies of AGVS transportation can be applied not only to the automated electricity meter verification but also in other industrial areas.
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The purpose of this paper is to understand urban mobility model.
Abstract
Purpose
The purpose of this paper is to understand urban mobility model.
Design/methodology/approach
The authors have used deep learning as tools of analysis and taxi transportation data as sources of mobility.
Findings
The authors have found urban mobility model of weekdays and weekends for a metropolitan city.
Research limitations/implications
There could be many sources of transportation data but the authors have used public taxi data solely.
Practical implications
With the urban mobility model proposed in this paper, other researchers and industries can improve their own service based on urban mobility model.
Social implications
The result would be a good model for urban traffic control or traffic modeling.
Originality/value
This works is an improvement of the paper published in The 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM2017) by recommendation of conference editor, Ismail Khalil, IJPCC editor-in-chief.
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Qian Zhou, Shuxiang Wang, Xiaohong Ma and Wei Xu
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in…
Abstract
Purpose
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.
Design/methodology/approach
Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.
Findings
The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.
Practical implications
The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.
Social implications
The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.
Originality/value
Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.
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