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The purpose of this paper is to improve the control precision of the station-keeping control for a stratosphere airship through the feedforward-feedback PID controller which is designed by the wind speed prediction based on the incremental extreme learning machine (I-ELM).

First of all, the online prediction of wind speed is implemented by the I-ELM with rolling time. Second, the feedforward-feedback PID controller is designed through the position information of the airship and the predicted wind speed. In the end, the one-dimensional dynamic model of the stratosphere airship is built, and the controller is applied in the numerical simulation.

Based on the conducted numerical simulations, some valuable conclusions are obtained. First, through the comparison between the predicted value and true value of the wind speed, the wind speed prediction based on I-ELM is very accurate. Second, the feedforward-feedback PID controller designed in this paper is very effective.

This paper is very valuable to the research of a high-accuracy station-keeping control of stratosphere airship.

This paper aims to investigate, in China stock market, whether the reputation loss of a firm caused by financial restatements will lead to significant economic consequences such as financial distress and how a firm should respond to such a crisis.

This paper uses Chinese A-share listed firms from 2004 to 2013 as research samples to test research hypotheses using regression analyses.

This paper finds a significant relationship between restatements and financial distress, and such a relationship will be affected by both the type and the magnitude of restatements. More importantly, we find joint effects of restatements and state ownership on financial distress, which provides a unique contribution to the extant literature in restatement, financial distress and crisis management using Chinese stock markets data. It shows that ownership structure, affecting the firm reputation and crisis responses strategies, plays a significant role in consequences of restatements, and it is more important for state-owned enterprises (SOEs) to undertake an appropriate crisis response strategy to reduce the negative impact of restatements.

The results suggest that the damage to a firm’s reputation caused by restatements is affected by restatement type and state ownership. To reduce the negative consequences and avoid financial distress, firms should consider both the restatement type and their firm characteristics when deciding different actions to respond to restatements. In particular, SOEs should act in a more timely manner and take reputation-rebuilding actions such as taking the responsibility and making apologies and taking prompt remedial actions after restatements to regain the public trust and avoid more serious economic consequences. The Chinese government should strengthen their supervisions of SOEs and put more effort to help SOEs reduce administrative procedures, and to improve the efficiency of the implementation of recovery plans after restatements to reinstate firm credibility.

First, this paper is among the first to link financial restatement, including the type and magnitude of restatements, with financial distress, and the authors find a significant relationship between restatement type and financial distress in China stock markets. Second, this paper is the first to examine whether there is a joint effect of state ownership and restatements on financial distress. Third, this study examines how the magnitude and pervasiveness of restatements influence financial distress and find that both result in an increase of financial distress. Finally, this paper is among the first to connect crisis management and accounting literature to explain how a reputation loss caused by financial restatement may damage a firm’s value and subsequent performance, and based on which to suggest crisis-responses strategies.

The purpose of this paper in the editorial review of manuscripts to highlight the emergent aspects of original thinking that provide new perspectives on issues central to management.

A synoptic perspective of a very broad range of topics covered in research by scholars is provided: education, corporate value, quality, corporate social responsibility, risk behavior, managing reputation, expatriation, growth and creativity. In this particular review, the editor emphasizes those facets of the paper that shed original, new light on management. Also, the areas where research provides a theoretical basis for consulting or managerial practice are highlighted to illustrate how research can be of practical relevance.

Some of the insights gained clearly indicate the importance of research. For example, tighter or more rigorous governmental regulations on food quality are unlikely to contribute to the enhancement of firms’ capability in improving food quality. The government needs to do much more than only regulate. Then, there is empirical reaffirmation that guan-xi with government matters: better the relationships, the higher corporate value but only if the firm is in private hands, not for state-owned enterprises (SOEs). Then, the Chinese local firms’ nexus with foreign, and international corporations influences their corporate social performance. Even more fascinating, a bank’s risk behavior is dependent on the structural composition of the board of directors. Indeed, research shows that a gender mix in fact lowers the propensity toward taking a high risk. Then, through reflecting upon their deep researches, the authors derive a theoretic framework for coping with reputation loss following a financial restatement. Here, authors showed SOEs to suffer much more in the event of restatement than the privately owned enterprises. Then, in a piece of innovative research of expatriation, authors relate a spectrum of the Chinese cultural values to performance. In a cross-country (civilization) study, the research motivation is: Whether SMEs in China, India and Pakistan are confronting the same environmental challenges? As expected, the answer would be yes in some aspects and no in others. This a significant finding, as the Chinese are raised on a milieu of suppressing one’s emotions: emotional expressiveness can contribute to creativity!

In this paper, the editor highlights some aspects on the original thinking of the authors within this issue of Chinese Management Studies. Also, the editor highlights on how research contained herein is contributing to managerial (consulting) practice.

The purpose of this paper is to examine the effect of natural resources, market size and five major institutional factors (voice and accountability; political stability and absence of violence; regulatory quality; rule of law and control of corruption) on Chinese foreign direct investment (FDI) in Africa.

This study uses regression analysis on panel data across 22 countries for the period 2008-2014.

Natural resources did not play a significant role in attracting Chinese investments, but market size did. Among the institutional factors, only voice and accountability had a significant and positive effect on attracting Chinese FDI; the effects of rule of law and control of corruption were not significant and political stability and regulatory quality had a significant and negative effect.

Chinese investment in Africa is only a recent phenomenon, and is growing rapidly; further studies should examine factors that are unique to the context such as bilateral political link.

African countries that are struggling with improving their poor institutional quality in the short term could effectively attract Chinese investment by reducing investor psychic distance, e.g. establishing a closer political link with China. Nevertheless, in the long term, measures of improving institutional quality are important.

This study reveals for the first time that what attracts Chinese investment is market size rather than natural resources, and different institutional factors of an African country show varying effects on attracting Chinese FDI.

This study seeks to fill a gap in the literature by examining the role of family firm succession in shaping the firm's approach to financialisation, which has received limited attention in the previous research. In addition, the study explores the influence of factors such as clan culture, concentration of control and generational differences on the relationship between succession and financialisation.

Data were based on a sample of 7,023 firm-year observations, compiled from the listed family firms in China's A-share. Several tobit models are used for analysing the data and testing the hypotheses.

Family firm succession is negatively related to the level of financialisation, and this relationship is influenced by clan culture, concentration of control and the stage of succession. Specifically, a higher clan culture, a greater concentration of ultimate control by the controlling family member and the dominance of the first generation in management strengthens the negative relationship between family firm succession and financialisation.

This study offers new insights into the consequence of family firm succession on a new area of the firm's strategy, i.e. financialisation. The study further advances the understanding of family firm succession by considering the role of clan culture, the concentration of control and the stage of the succession process.

Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that incorporating online review data can enhance the performance of tourism demand forecasting models, the reliability of online review data and consumers’ decision-making process have not been given adequate attention. To address the aforementioned problem, the purpose of this study is to forecast tourism demand using online review data derived from the analysis of review helpfulness.

The authors propose a novel “identification-first, forecasting-second” framework. This framework prioritizes the identification of helpful reviews through a comprehensive analysis of review helpfulness, followed by the integration of helpful online review data into the forecasting system. Using the SARIMAX model with helpful online review data sourced from TripAdvisor, this study forecasts tourist arrivals in Hong Kong during the period from August 2012 to June 2019. The SNAÏVE/SARIMA model was used as the benchmark model. Additionally, artificial intelligence models including long short-term memory, back propagation neural network, extreme learning machine and random forest models were used to assess the robustness of the results.

The results demonstrate that online review data are subject to noise and bias, which can adversely affect the accuracy of predictions when used directly. However, by identifying helpful online reviews beforehand and incorporating them into the forecasting process, a notable enhancement in predictive performance can be realized.

First, to the best of the authors’ knowledge, this study is one of the first to focus on the data issue of online reviews on tourism arrivals forecasting. Second, this study pioneers the integration of the consumer decision-making process into the domain of tourism demand forecasting, marking one of the earliest endeavors in this area. Third, this study makes a novel attempt to identify helpful online reviews based on reviews helpfulness analysis.

Gamification design is considered an effective way of changing users' health behavior and improving their health management performance. Even though numerous studies have investigated the positive effect of gamification competition on users, little research has considered gamification's ineffectiveness and negative effects. In particular, how gamification competition affects users' technological exhaustion remains unclear.

According to flow theory and related research on gamification, this study discusses the nonlinear relationship between gamification competition and users' technological exhaustion. Furthermore, the authors analyze the moderating effect of user type (socializers and achievers) and users' health condition on this nonlinear relationship. Based on flow theory, the authors propose a series of research hypotheses. To test all research hypotheses, the authors collected information from 407 users via a questionnaire as the data for this study.

The empirical results found a U-shaped relationship between gamification competition and technological exhaustion. Technological exhaustion gradually decreases as competition increases until reaching the lowest point; after that, technological exhaustion gradually increases as competition increases. Further, being a socializer and health condition play a moderating role in the U-shaped relationship between competition and technological exhaustion.

This study's findings not only enrich the related research in flow theory and gamification, but also contribute to the effective design of gamification in health management platforms.

Graduate employability is a key concern for many observers particularly at a time when education is increasingly available for the masses. The purpose of this paper is to examine the impact of graduate perceived employability on job search by integrating theory of planned behavior and to identify how job search self-efficacy, subjective norms, intention and intensity change over time.

Data were collected from a six-wave survey study with a sample of Chinese university graduating students.

Results show that perceived employability has a positive and significant effect on job search self-efficacy, attitude, intention and intensity; and that all the repeated measuring variables (except job search attitude) decreased over time.

The study is useful for educators, employers and prospective students. It prompts discussion of reforms in the curriculum to increase graduate awareness of the complexity of the job search process and existing opportunities. The study could also help to explain how job search behavior changes over time.

The findings carry implications for both higher education research and the measures of improving graduate employability. The study fills the gap in the literature by integrating employability and the theory of planned behavior into one framework in order to analyze the process of Chinese university graduates’ job search behavior.

This study aims to investigate the relationships between the different strengths of ties (strong ties and weak ties), types of trust and project performance in megaprojects.

A questionnaire survey was conducted with various experts and professionals involved in megaprojects, and 350 valid responses were received. Data was analyzed by means of structural equation modeling.

The results show that both strong ties and weak ties have positive impacts on trust in megaprojects, but weak ties have a more significant positive effect than do strong ties. Unexpectedly, the introduction of interorganizational trust significantly weakens the effect of the strength of ties on project performance. The indirect influence of the strength of ties on performance has different paths. Weak ties have an indirect effect via calculative trust and relational trust. However, in a strong ties network, inferior stakeholders lack the information necessary to complete a megaproject, and they believe that calculative trust will not promote project performance until the megaproject is successfully delivered. Thus, the effect of calculative trust on project performance is not significant.

These findings provide evidence in regard to strength of ties governance being a part of the effective strategy in improving megaprojects’ performance. It also demonstrates the mediating function of trust and advances the current understandings of the underlying mechanism of the strength of ties on project performance, thus providing implications for researchers and practitioners. However, this study has some limitations. For example, the strength of ties and trust between organizations are a dynamic process in megaprojects. This study does not conduct in-depth analysis of the evolution mechanism and investigate the different levels of trust at different stages of the megaproject. Future research can be guided by these directions.

The main contribution of this study is fourfold. First, this study enriches the literature on strength of ties by accentuating the roles of trust in megaproject context. Second, this study contributes to the theoretical development of a conceptual model for explaining the interrelationships among strength of ties, types of trust and project performance. Third, this study responds to the call “which dimension (i.e. strong ties or weak ties) is more influential” by exploring the direct and indirect effects of strength of ties on project performance. Finally, this study breaks through the limitation of traditional cognition that megaproject management can be met by relying on rigid contracts. In other words, trust can supplement the weakness of rigid contract by forming contract flexibility with different strength of ties. Meanwhile, the specific strategies to establish and maintain trust are given, such as building information model (BIM) collaboration platform and reputation management mechanism.

This paper aims to focus on the finite element method in the frequency domain (FD-FEM) for the transient electric field in the non-sinusoidal steady state under the non-sinusoidal periodic voltage excitation.

Firstly, the boundary value problem of the transient electric field in the frequency domain is described, and the finite element equation of the FD-FEM is derived by Galerkin’s method. Secondly, the constrained electric field equation on the boundary in the frequency domain (FD-CEFEB) is also derived, which can solve the electric field intensity on the boundary and the dielectric interface with high accuracy. Thirdly, the calculation procedures of the FD-FEM with FD-CEFEB are introduced in detail. Finally, a numerical example of the press-packed insulated gate bipolar transistor under the working condition of the repetitive turn-on and turn-off is given.

The FD-CEFEB improves numerical accuracy of electric field intensity on the boundary and interfacial charge density, which can be achieved by modifying the existing FD-FEMs’ code in appropriate steps. Moreover, the proposed FD-FEM and the FD-CEFEB will only increase calculation costs by a little compared with the traditional FD-FEMs.

The FD-CEFEB can directly solve the electric field intensity on the boundary and the dielectric interface with high accuracy. This paper provides a new FD-FEM for the transient electric field in the non-sinusoidal steady state with high accuracy, which is suitable for combined insulation structure with a long time constant.