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Parameter identification is an important issue in structural health monitoring and damage identification for concrete dams. The purpose of this paper is to introduce a novel adaptive fireworks algorithm (AFWA) into inverse analysis of parameter identification.

Swarm intelligence algorithms and finite element analysis are integrated to identify parameters of hydraulic structures. Three swarm intelligence algorithms: AFWA, standard particle swarm optimization (SPSO) and artificial bee colony algorithm (ABC) are adopted to make a comparative study. These algorithms are introduced briefly and then tested by four standard benchmark functions. Inverse analysis methods based on AFWA, SPSO and ABC are adopted to identify Young’s modulus of a concrete gravity dam and a concrete arch dam.

Numerical results show that swarm intelligence algorithms are powerful tools for parameter identification of concrete structures. The proposed AFWA-based inverse analysis algorithm for concrete dams is promising in terms of accuracy and efficiency.

Fireworks algorithm is applied for inverse analysis of hydraulic structures for the first time, and the problem of parameter selection in AFWA is studied.

The purpose of this study is to investigate how family ownership affects the disclosure tone of firm earnings press releases.

Following prior literature, this study defines family firms as those in which members of the founding families continue to hold positions in top management, to sit on the board or to be blockholders. The disclosure tone of earnings press releases is measured by the level of optimism in firms’ earnings announcements using Loughran and McDonald’s (2011) word classifications. Multivariate analysis is performed to examine the impact of family ownership on firms’ disclosure tone. Additional analysis includes controlling for different firm-level characteristics and using alternative measures of disclosure tone.

This study documents that the disclosure tone of earnings announcements is more optimistic for family firms than for non-family firms. The result implies that family owners’ large undiversified equity position in their business results in strong incentives for them to issue more positive earnings announcements to maintain high stock performance. Further analysis reveals that the results are mainly driven by family firms with founder CEOs. The results are robust to controls for corporate governance characteristics and to alternative measures of corporate disclosure tone.

The findings of this study contribute to the literature that examines factors associated with the determinants of the tone in firms’ earnings announcements. In addition, this study adds to the extant literature on family firms by providing useful insight into the influence of family control on corporate voluntary disclosure.

The purpose of this paper is to investigate how companies’ reputation affects their selection of auditors.

This paper measures company reputation using the reputation scores from Fortune’s “America’s Most Admired Companies” list. Multivariate analysis is performed to examine the impact of company reputation on public companies’ auditor choice. Robustness checks include conducting Heckman procedures and instrumental-variable two-stage least square regressions to control for self-selection bias and using alternative measures to proxy for company reputation and auditor industry expertise.

This paper finds that companies with higher reputations are more likely to hire industry-specialist auditors than their counterparts. The results suggest that because of reputation concerns, high-reputation companies have strong incentives to maintain and signal their financial reporting quality, which in turn increase their demand for audit quality.

This paper suggests that company reputation constitutes an important determinant of auditor selection and, therefore, has both policy and practical implications for the demand of audit services. The paper provides policy-makers and practitioners with insights into critical factors influencing companies’ complex decision process of auditor selection.

The findings of this paper on the empirical link between company reputation and auditor choice contribute to the auditing literature by enhancing the understanding of the effects of different company-level characteristics in financial reporting and audit planning process. This paper also adds to the growing literature on the influence of company reputation on corporate behavior by documenting the important role that company reputation plays in the managerial decision-making process.

The purpose of this study is to investigate the association between companies’ reputation and their purchase of non-audit services (NAS).

This study measures company reputation using the reputation scores from Fortune’s “America’s Most Admired Companies” list. Multivariate analysis is performed to examine the association between public companies’ overall reputation and their decision of NAS purchase. Robustness checks are performed to control for self-selection bias and alternate measures are used to proxy for company reputation and NAS fees.

This study finds that high-reputation companies on average pay more NAS fees than their counterparts. The results suggest that due to less severe agency conflicts, high-reputation companies tend to purchase more NAS from their incumbent auditors to appreciate the potential benefits of the auditors’ knowledge spillovers.

The findings of this study on the association between company reputation and NAS fees contribute to the literature by providing additional insight on the factors influencing companies’ NAS purchases. The results of this study suggest that a unique company-level characteristic, company reputation, is significantly associated with companies’ NAS purchase, and therefore has both policy and practical implications for the demand of NAS. This study also adds to the growing literature on the influence of company reputation on corporate behavior by documenting the important role that company reputation plays in the managerial decision-making process.

Despite the increasingly growing empirical research on leader humor, the critical issue of how and when leader humor affects newcomer adjustment was largely overlooked. The purpose of this study is to examine the relationship between leader humor and newcomer adjustment. Based on social information processing theory, the authors identify newcomers' role breadth self-efficacy (RBSE) as the mediator and suggest that newcomers' cognitive flexibility moderates the effects.

Data were obtained from a 2-wave sample of 195 newcomers. The authors utilized the PROCESS procedure developed by Hayes to assess the hypothesized moderated mediation model.

The findings showed that leader humor could boost newcomers' RBSE which, in turn, was beneficial to newcomer adjustment. Besides, newcomers' cognitive flexibility plays a moderating role in the relationship between leader humor and newcomers' RBSE.

This study utilized a cross-sectional research design, making the design difficult to obtain causal conclusions. Moreover, the data were all based on self-reports from newcomers, which may raise a concern of common method bias.

This paper extends the literature on leader humor and newcomer adjustment by treating RBSE as the mediator and newcomers' cognitive flexibility as the moderator. This study is one of several empirical studies to test the link between leader humor and newcomer adjustment.

Despite the growing body of empirical research on leader anger expressions, the issue of how and when leader anger expressions shape newcomers’ proactive career behavior and work alienation in the construction industry has been largely overlooked. Building upon social information processing theory, this research identifies newcomers’ organization-based self-esteem as a mediator, and suggests that newcomers’ performance goal orientation could moderate the relationship.

A questionnaire study was conducted on the construction industry in China, and the PROCESS program developed by Hayes was used to test the hypothetical model with 215 valid cases.

The results suggest that leader anger expressions are negatively associated with newcomers’ organization-based self-esteem, and organization-based self-esteem mediated the link between leader anger expressions and newcomers’ proactive career behavior and work alienation. Furthermore, the newcomers’ performance goal orientation moderates the negative impact of leader anger expressions on newcomers’ organization-based self-esteem.

Due to the cross-sectional nature of this study, causal implications are difficult to draw. Moreover, all data we received was based on participant self-reports, which may raise concerns about common method variance.

In this paper, we contribute to a deeper understanding of the mediating mechanisms and boundary conditions by which leader anger expressions influence newcomers’ proactive career behavior and work alienation from social information processing perspective, in addition to providing valuable insights for management of newcomers in the construction industry.

In the era of big data, data have become an essential factor of production. In the context of open government data (OGD), encouraging the commercial development of OGD is significant for promoting mass innovation and entrepreneurship. This study aims to explore the configurational impact of data supply, external environment and entrepreneurial foundation on data-driven entrepreneurship.

This research used a fuzzy set qualitative comparative analysis (fsQCA). Fourteen start-ups using OGD were taken as a case sample.

This study produces two paths to achieving high entrepreneurial performance, one is a financing-enhanced entrepreneurial path and the other is a data-driven entrepreneurial path. Besides, four conditions are necessary for high performance of OGD-based entrepreneurship: good data quality, mature legal environment, favorable market environment and abundant big data entrepreneurial talents.

The findings have important practical implications for formulating policies related to promoting the application of government open data and innovation and entrepreneurship in terms of strengthening top-level design, improving the legal environment, developing the data market and cultivating entrepreneurial talents.

Although many studies have been conducted on OGD, studies on the paths to successful entrepreneurship based on OGD are limited. In this study, this issue is investigated from a configurational perspective by using the fsQCA technique.

Substantial research has examined the pivotal role of ethical leadership in generating employee outcomes. To date, though, little is known about the relationship between ethical leadership and newcomers' adjustment. The purpose of this paper is to contribute to this gap by examining the effect of ethical leadership on newcomers' adjustment. In doing so, the authors highlighted positive emotions of newcomers as a mediating mechanism that explains the aforementioned association.

Data were drawn from a two-wave sample of 271 newcomers. The hypotheses were tested by using hierarchical regression analyses and Hayes' PROCESS macro.

The results demonstrated that ethical leadership affects employees' positive emotions which, in turn, positively relates to newcomers' adjustment. Additionally, newcomers' social comparison orientation moderated the effect of ethical leadership on newcomers' positive emotions.

The research uses a correlational research design, making it difficult to derive causal inferences from the data. Moreover, the data we obtained on the variables were all based on employees' self-reports, which might inflate the relationship between some of the variables.

To the best of the knowledge, this is the first study that illustrates the role of ethical leadership in enhancing both newcomers’ positive emotions and adjustment.

This study aims to use the ego depletion theory to examine the impact of hindrance stressors on knowledge sharing behaviors by investigating the mediating role of ego depletion and the moderating role of self-enhancing humor.

Data were obtained from a two-wave sample of 226 dyads, including employees in the manufacturing industry and their direct supervisors. The hypotheses were tested by hierarchical regression analyzes and Hayes’ PROCESS macro.

The results demonstrated that employees’ self-enhancing humor style could alleviate the impact of hindrance stressors on employees’ ego depletion state and buffer the negative indirect effect of hindrance stressors on employees’ knowledge-sharing behaviors.

Although the authors collected mediator and dependent variables from different sources, this study used a cross-sectional research design, making it difficult to draw causal conclusions. Besides, hindrance stressors, ego depletion and self-enhancing humor style were all reported by employees.

Through the study, the authors highlight the important role of the self-control view in explaining proactive behavior in the workplace and a great awareness of the unforeseeable consequences of ego depletion for employees.

The purpose of this paper is to analyze the factors influencing the behaviors of government officials during the implementation of open government data (OGD). By identifying and understanding the key factors that determine government officials' adoption of OGD in China, this study can create a valuable reference for other countries and their decision-making regarding government implementation of OGD.

This research collected data by in-depth interviews with government officials in Chinese OGD departments. Through these interviews, the authors consulted 15 administrators from departments that are responsible for the information tasks in Beijing and other cities on their opinions about OGD. The authors also interviewed senior executives from information technology (IT) companies, as well as open data policy scholars from big data alliance and research institutions.

This paper provides insights about how to promote government officials in OGD implementation, including (1) strengthen social supervision for the environment, through developing and publishing OGD technology roadmaps, then attracting the public to actively participate in the implementing of OGD; (2) establish an OGD assessment mechanism for government officials, with bonus motivations, position promotion incentives, as well as spiritual incentives via regional or sector rankings; (3) alleviate the risks of officials' OGD decisions in actual practice, using the institution construction of OGD to guide its direction and strengthen security protection.

This paper fulfils an identified need to study how government officials' behavior can be motivated on OGD implementation.