Abstract
Purpose
Career plateau and employee silence are negative employee management phenomena that should be overcome but are challenging. However, relatively speaking, when employees reach a particular career stage, it is inevitable that the hierarchical plateau in the career plateau will occur, while the phenomena of employee silence have the chance to improve. This paper aims to study the influence mechanism of the career plateau on employee silence in an uncertain environment and then provides theoretical support for enhancing the organizational phenomenon of employee silence.
Design/methodology/approach
After considering the effects of career plateau and social desirability of employee silence, this paper obtained 313 samples based on the pilot survey, which were collected anonymously online and offline. Based on passing the data quality test, this experiment uses hierarchical regression, Bootstrap method, interaction graph and slope test to test the mediating variable
Findings
The results show a significant positive correlation between career plateau and employees' silent behavior. Affective commitment plays a partial mediating role between career plateau and employees' silent behavior. Organizational justice not only negatively moderated the relationship between career plateau and affective commitment but also negatively moderated the indirect effect of career plateau on silent behavior through affective commitment.
Originality/value
First, based on the theory of uncertainty management and social exchange theory, this paper develops a behavioral response to the organizational environment based on the principle of fair exchange when employees perceive an uncertain environment. This study innovatively applied the two theories together in one study, establishing a link between the two theories. Second, this study explores the influence of career plateau on employee silence and empirically tests the silent behavior based on the previous division of three dimensions of career plateau. The third study explores affective commitment, the black box of the relationship between career plateau and employee silence. This research also enriches the related research on affective commitment.
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Ruhua Huang, Tong Lai and Lihong Zhou
This paper reports on a critical literature review, which aimed to identify, understand and qualify barriers that hinder the release of open government data (OGD) in China…
Abstract
Purpose
This paper reports on a critical literature review, which aimed to identify, understand and qualify barriers that hinder the release of open government data (OGD) in China. Moreover, the purpose of this paper is to develop and propose a theoretical framework, which can be adopted as a basis for empirical investigation in the future, and to articulate mitigating strategies.
Design/methodology/approach
This study adopted an inductive qualitative approach, retrieving 42 academic articles from three main Chinese academic databases: CNKI, Wanfang and CQVIP. A thematic analysis approach was employed for the literature analysis.
Findings
The literature analysis pointed to 15 barriers to the release of OGD in China. Furthermore, the barriers emerged in the following three main themes: institutional barriers, data integrity and quality barriers, and user participation barriers.
Originality/value
This paper reports on one of the early research efforts into the problems of releasing OGD in China. Although this study focusses on Chinese context and issues, the findings and lessons learnt can be shared across international borders.
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Huang Zhizhong, Zhang Juan, Shen Yanzhi and Xie Wenli
The purpose of this paper is to study the impact of corporate governance on financial restatements in China, with a view to providing reference to strengthen the corporate…
Abstract
Purpose
The purpose of this paper is to study the impact of corporate governance on financial restatements in China, with a view to providing reference to strengthen the corporate governance and improve the quality of financial information.
Design/methodology/approach
The authors investigate associations between financial restatements and corporate governance via a sample of 1,147 listed companies from the period of 2002 to 2006, which includes 880 annual accounting restatements by 465 companies. Logistic model is used to regress restatement dummy variable on not only the equity and board structure, but also the quality of independent auditors. The restatements in this paper are caused by performance‐related accounting errors.
Findings
It was found that accounting misstatements related to performance could be prevented or restrained by strong internal governance, such as a board of higher percentage of outside directors and an audit committee that could oversee the accounting and financial reporting process on behalf of all shareholders, and outside governance, such as a big stockholder and a strong outside auditor from the Big4 accounting firms. However, the matched test shows the effect of audit committee on controlling restatements is endogenous, which relies on the effects of other governance factors.
Originality/value
In China, studies on the impact of corporate governance on financial restatements are few and the existing empirical researches show the selected samples are small, which constitute small part of the revision of accounting errors. In this paper, the data are more accurate and comprehensive than previous research and matched sample method was used to alleviate the impact of endogeneity of some explanatory variables. So, the conclusions are more reliable than in the past.
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Anna Eremina and Chan-Hyun Sohn
Recently the route connecting the trans-Korean railway and the trans-Siberian railway has become of particular interest for many academics and policy-makers in East Asian…
Abstract
Recently the route connecting the trans-Korean railway and the trans-Siberian railway has become of particular interest for many academics and policy-makers in East Asian countries. The extensive review of previous studies, however, reveals that literature on the subject is lacking solid analytical framework. Most studies are one-sided, focusing on the political aspects of the issue or paying little attention to the economic aspects of the problem.
This study intends to develop an analytical framework through which the most efficient route among four major alternative routes connecting the trans-Korean and trans-Siberian railways can be identified. It attempts to assign priorities to the four alternative routes according to their level of economic efficiency.
This study utilizes a simple cost-benefit analysis in evaluating the four routes. Cost side, transportation time, effectiveness of customs procedures, and gauge difference are selected as the main economic factors. The volume of cargo, industrial production in adjacent regions, access to natural resources, and market size and foreign investment climate are used to evaluate the benefits of the routes.
The study concludes that Route 3, which connects ‘Busan - Seoul (South Korea) –Pyongyang -Sinuiju (North Korea) –Shenyang –Beijing - Erenhot (China) –Ulaanbaatar (Mongolia) –Ulan-Ude - Moscow (Russia)’ is the most efficient route.
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Yongbin Lv, Ying Jia, Chenying Sang and Xianming Sun
This study investigates the causal relationship and mechanisms between the development of digital finance and household carbon emissions. Its objective is to explore how digital…
Abstract
Purpose
This study investigates the causal relationship and mechanisms between the development of digital finance and household carbon emissions. Its objective is to explore how digital finance can influence the carbon footprint at the household level, aiming to contribute to the broader understanding of financial innovations' environmental impacts.
Design/methodology/approach
The research combines macro and micro data, employing input-output analysis to utilize data from the China Household Finance Survey (CHFS) for the years 2013, 2015, 2017, and 2019, national input-output tables, and Energy Statistical Yearbooks. This approach calculated CO2 emissions at the household level, including the growth rate of household carbon emissions and per capita emissions. It further integrates the Peking University Digital Financial Inclusion Index of China (PKU-DFIIC) for 2012–2018 and corresponding urban economic data, resulting in panel data for 7,191 households across 151 cities over four years. A fixed effects model was employed to examine the impact of digital finance development on household carbon emissions.
Findings
The findings reveal that digital finance significantly lowers household carbon emissions. Further investigation shows that digital transformation, consumption structure upgrades, and improved household financial literacy enhance the restraining effect of digital finance on carbon emissions. Heterogeneity analysis indicates that this mitigating effect is more pronounced in households during the nurturing phase, those using convenient payment methods, small-scale, and urban households. Sub-index tests suggest that the broadening coverage and deepening usage of digital finance primarily drive its impact on reducing household carbon emissions.
Practical implications
The paper recommends that China should continue to strengthen the layout of digital infrastructure, leverage the advantages of digital finance, promote digital financial education, and facilitate household-level carbon emission management to support the achievement of China's dual carbon goals.
Originality/value
The originality of this paper lies in its detailed examination of the carbon reduction effects of digital finance at the micro (household) level. Unlike previous studies on carbon emissions that focused on absolute emissions, this research investigates the marginal impact of digital finance on relative increases in emissions. This method provides a robust assessment of the net effects of digital finance and offers a novel perspective for examining household carbon reduction measures. The study underscores the importance of considering heterogeneity when formulating targeted policies for households with different characteristics.
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Pingping Xiong, Yue Zhang, Bo Zeng and Tian-Xiang Yao
Aiming at the traditional multivariate grey forecasting model only considers the modelling of real numbers; therefore, the purpose of this paper is to construct an MGM(1, m) model…
Abstract
Purpose
Aiming at the traditional multivariate grey forecasting model only considers the modelling of real numbers; therefore, the purpose of this paper is to construct an MGM(1, m) model based on the interval grey number sequences according to the grey modelling theory.
Design/methodology/approach
First, the multivariable grey number sequences are transformed into the kernel and grey radius sequences which are two feature sequences of interval grey number sequences. Then the MGM(1, m) model for kernel sequences and grey radius sequences are established, respectively. Finally, the simulation and prediction of the upper and lower bounds of the interval grey number sequences are realized by the reductive calculation of the predicted values of the kernel and grey radius.
Findings
The model is applied to the prediction of visibility and relative humidity, the identification factors of the haze. The results show that the model has high accuracy on the simulation and prediction of multivariable grey number sequences, which is reasonable and practical.
Originality/value
The main contribution of this paper is to propose a method to simulate and forecast the multivariable grey number sequence that is to establish the prediction models for the whitening sequences of multivariable grey number sequences which are kernel and grey radius sequences and extend the possibility boundary of kernel by grey radius. The model can reflect the development trend of multivariable grey number sequence accurately. When the grey information is continuously complemented, the multivariable grey number prediction model is transformed into the traditional MGM(1, m) model. Therefore, the MGM(1, m) model based on interval grey number sequence is the generalisation and expansion of the traditional MGM(1, m) model.
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This study aims to focus on the resource-based faultline of a top management team (TMT) and intends to investigate the impact of TMT resource-based faultline on corporate green…
Abstract
Purpose
This study aims to focus on the resource-based faultline of a top management team (TMT) and intends to investigate the impact of TMT resource-based faultline on corporate green innovation, by indicating the environmental management as a mediator and slack resources as a moderator to understand the relationship.
Design/methodology/approach
Based on the empirical data of Chinese listed manufacturing companies from 2008 to 2020, this study assesses the hypotheses using an OLS model with fixed effects of time and industry.
Findings
The results indicate that TMT resource-based faultline is significantly negatively correlated with corporate green innovation. The conclusion remains valid after endogeneity tests and robustness checks. Mechanism test shows that environmental management plays a mediating role in the association between TMT resource-based faultline and corporate green innovation. Moreover, slack resources diminish the negative association between TMT resource-based faultline and corporate green innovation.
Originality/value
The study not only expands the theoretical understanding of the deeper motivation of TMT faultline on corporate green innovation, but also provides a practical reference for optimizing the human resource allocation of the TMT and accelerating green transformation development.
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Mohammad Ghalambaz, Mikhail A. Sheremet, Mohammed Arshad Khan, Zehba Raizah and Jana Shafi
This study aims to explore the evolving field of physics-informed neural networks (PINNs) through an analysis of 996 records retrieved from the Web of Science (WoS) database from…
Abstract
Purpose
This study aims to explore the evolving field of physics-informed neural networks (PINNs) through an analysis of 996 records retrieved from the Web of Science (WoS) database from 2019 to 2022.
Design/methodology/approach
WoS database was analyzed for PINNs using an inhouse python code. The author’s collaborations, most contributing institutes, countries and journals were identified. The trends and application categories were also analyzed.
Findings
The papers were classified into seven key domains: Fluid Dynamics and computational fluid dynamics (CFD); Mechanics and Material Science; Electromagnetism and Wave Propagation; Biomedical Engineering and Biophysics; Quantum Mechanics and Physics; Renewable Energy and Power Systems; and Astrophysics and Cosmology. Fluid Dynamics and CFD emerged as the primary focus, accounting for 69.3% of total publications and witnessing exponential growth from 22 papers in 2019 to 366 in 2022. Mechanics and Material Science followed, with an impressive growth trajectory from 3 to 65 papers within the same period. The study also underscored the rising interest in PINNs across diverse fields such as Biomedical Engineering and Biophysics, and Renewable Energy and Power Systems. Furthermore, the focus of the most active countries within each application category was examined, revealing, for instance, the USA’s significant contribution to Fluid Dynamics and CFD with 319 papers and to Mechanics and Material Science with 66 papers.
Originality/value
This analysis illuminates the rapidly expanding role of PINNs in tackling complex scientific problems and highlights its potential for future research across diverse domains.
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Qinglei Zeng, Zhanli Liu, Tao Wang, Yue Gao and Zhuo Zhuang
The purpose of this paper is to develop a numerical method to model the simultaneous propagation of multiple hydraulic fractures (HFs) with fluid lags driven from a horizontal…
Abstract
Purpose
The purpose of this paper is to develop a numerical method to model the simultaneous propagation of multiple hydraulic fractures (HFs) with fluid lags driven from a horizontal wellbore.
Design/methodology/approach
Fracture propagation in solid medium is modeled with the extended finite element method and fluid flow is modeled with finite volume method. Three iteration loops are introduced to solve the nonlinear system within each time increment, i.e. a Newtonian iteration to solve the solid-fluid coupling system, a Picard iteration to determine fluid front positions and a secant iteration to update fracture lengths.
Findings
The propagation of one single HF with a fluid lag is simulated and agrees well with semi-analytical solutions or other numerical results in the literature. The simultaneous propagation of two HFs are then investigated, which demonstrates the ability of the proposed method in capturing the hydraulic fracturing process with multiple fractures and fluid lags.
Originality/value
With the proposed method, one can simulate the simultaneous propagation of multiple HFs with fluid lags, which play a significant role during early-time propagation or when the confinement stress is relatively low (shallow HFs). Solid deformation and fracturing, fluid flow in fractures and in the wellbore are fully coupled, and three iteration loops are introduced to solve the nonlinear system.
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Junsheng Zhang, Yue Qi, Yaoqing Song and Yamin Zeng
Audit firms have a strong historical tradition of professionalism, but they are also commercial entities. This study aims to investigate the relationship between auditor cash…
Abstract
Purpose
Audit firms have a strong historical tradition of professionalism, but they are also commercial entities. This study aims to investigate the relationship between auditor cash compensation and office-level financial performance.
Design/methodology/approach
This study uses proprietary compensation expense and financial performance data from audit offices in China. Using the ordinary least squares regressions, this study tests the association between per capita compensation and office-level financial outcomes.
Findings
This study provides evidence that audit offices offering higher compensation achieve more profitable performance, as reflected in increased market share, higher return on assets and greater operating profit margins. Mechanism tests suggest that reductions in auditor turnover, driven by compensation incentives, partially account for this performance improvement. Additional tests show that the benefits of compensation incentives are particularly pronounced in audit firms licensed to conduct listed firm audits or when accompanied by staff training and technical development. Furthermore, both partner-level and staff auditor compensation significantly enhance office-level financial performance. The results might be of interest to both practitioners and regulatory bodies.
Originality/value
To the best of the authors’ knowledge, this study is the first to examine the relationship between auditor cash compensation and audit-office profitability. The findings highlight important policy implications for audit firms seeking to retain high-caliber auditors and maximize their economic benefits through human capital investments, including compensation, education, training and technical development.