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This paper aims to address the spacecraft attitude regulation problem in the presence of extrinsic disturbances and actuator faults.

Based on adaptive backstepping design technique, a new concise adaptive dual-mode control scheme is proposed, which can either use the fault information detected by fault diagnosis mechanisms or switch to the fault-unknown mode when the fault diagnosis information is non-existent for control signal generation. These two modes share an adaptive mechanism that reduces the complexity of the algorithm.

The new fault-tolerant attitude control algorithm can accommodate both modes with and without fault diagnosis mechanisms.

The proposed algorithm in this paper can be applied to both cases when the attitude control system is equipped with or without fault diagnosis capability. This also enhances the robustness of attitude control algorithm. This study performs numerical simulations and verifies that the algorithm could effectively adapt to both modes.

This paper investigates the policy changes made towards infrastructure public–private partnerships (PPPs). The purpose of this study is to empirically identify the policy risks associated with the development of PPPs and to assess their impacts on the projects.

A case study of the policy changes that have been implemented for PPPs in China over the past seven years has been undertaken and is presented in this study. The causal loop diagrams are applied to assess and illustrate the potential impacts of the risks as a result of such changes on PPPs.

A sequence of the policy risks, which relate to PPP risk allocation, contract management and implementation, payment and abatement mechanisms and financing, has been identified. It is also found that the identified risks will generate significant but negative impacts on PPPs, leading to an ineffective project delivery, low revenue, poor service quality and even contract breach.

This research provides the private-sector entities that will embark on PPPs with an insight into managing and controlling policy risks over the project's lifecycle.

PPPs have been critical for infrastructure development worldwide. Nevertheless, they have been a controversy, as many of them were subjected to poor outputs. Consequently, a variety of political mechanisms has been implemented to enhance the governance for PPPs. Policy can bring not only benefits but also risks and, however, policy risks of PPPs with a particular assessment for their potential impacts have received limited attention. Therefore, the study presented in this paper will contribute to the identification and assessment of policy risks within the context of PPPs.

The purpose of this paper is to understand the role of multichannel integration quality in enhancing online perceived value and online purchase intention via the online store operated by a land-based retailer.

This paper develops a research model based on the “quality-value-purchase” chain, with four dimensions of multichannel integration quality as antecedents and three dimensions of online perceived value as mediators of online purchase intention. Empirical data were collected from 390 multichannel shoppers and structured equation modeling was used to test the research hypotheses.

Among the four multichannel integration quality dimensions, transparency of service configuration, process consistency and business ties positively affect online purchase intention through online perceived value, whereas the effects of information consistency are not significant; process consistency exerts a stronger influence on online perceived value than business ties; the effect of online convenience on online purchase intention is weaker than that of online monetary savings and online hedonic value.

The study identifies the theoretical principles of the relationships among multichannel integration quality, online perceived value and online perceived value in multichannel context. Based on these theoretical principles, this study will help researchers to better understand consumers’ online purchase intention and the creation of online perceived value in the integrated multichannel context.

The findings of this study can provide retailers with useful strategies to increase online purchase intention depending on improvement of multichannel integration quality and online perceived value.

This study provides a first study to empirically assess various types of online perceived value attached to multidimensional properties of multichannel integration quality and the corresponding effects on online purchase intention. Overall, the results offer insights of how land-based retailers could manage their online performance by integrating multiple channels and improving online perceived value.

The purpose of this paper is to understand how two online marketing orientations of land-based retailers in product category and price could change retail brand attitude when retail brand familiarities differ.

This paper proposes a research model with two orientations in product category and price as antecedents of retail brand attitude change and retail brand familiarity as a moderator. Empirical data were collected from 684 shoppers across three land-based retailers to test the research hypotheses.

Both orientations in product category and price can improve customers’ retail brand attitudes. Retail brand familiarity plays a significant moderator in some of the situations. Online-offline product category congruence and online-prototypical price congruence have significantly positive effects on retail brand attitude change whether retail brand familiarity is high or low. The effect of online-offline price congruence is significant only among high-familiarity customers, while the effect of online-prototypical product category congruence is found to be significant only among low-familiarity customers.

The study identifies the moderating effects of retail brand familiarity on the relationships between two online marketing orientations in product category and price and retail brand attitude change. Based on the moderating effects, this study will help researchers to better understand the effectiveness of two online marketing orientations subject to varying degrees of retail brand familiarity in a multichannel retailing context.

The findings of this study can guide land-based retailers to focus on the right orientations in product category and price to improve customers’ attitudes toward the retail brand when existing or new customers are targeted.

This study provides a first study to empirically assess the change in retail brand attitude prompted by homogenous and prototypical orientations in product category and price and subject to varying degrees of retail brand familiarity. Overall, the results offer insights of how land-based retailers could manage their overall performance by designing more effective online product category and pricing strategies for existing or new customers.

The authors investigate the association of the constructed corporate social responsibility (CSR) measures with the banks’ profitability, social contributions and CSR spending as well as the market reaction to CSR spending.

Using textual analysis of the CSR reports of banks listed on the Chinese market, the authors construct CSR measures in six domains: business, environment, human rights, corporate governance, charity and social capital. Our textual-based CSR measures contain substantial and valuable information beyond what Rankins CSR ratings offer.

The findings suggest that banks with stronger engagements and interests in the business-related CSR domain experience higher profitability, while those that are more committed to the corporate governance and charity-related domains create larger social contributions. Banks tend to incur higher CSR spending when they are more active in corporate governance. Although the stock market reacts positively to CSR expenditures, the reaction is less favorable for banks with CSR expenditures above the industry norm.

This study offers insights to policymakers of the regulatory bodies and the banks in China. To enhance the financial safety and soundness of the banking system, the regulatory bodies should encourage banks to strategically allocate corporate resources to achieve higher CSR ratings and engage more business-related CSR activities. To create larger social values, bank management should invest more in philanthropic CSR initiatives such as corporate governance and charity activities. To pursue higher corporate profits, they should engage more in self-centered business-related CSR activities. However, according to the reaction of the market, they should not over-invest in CSR activities.

While the use of textual analysis to evaluate CSR disclosure has recently emerged in the literature, few studies focus on banks in China. Using the term frequency–inverse data frequency (TF-IDF) method, the authors constructed a score for each of the six CSR domains: business (BUS), environment (ENV), human rights (HR), corporate governance (GOV), charity (CHY) and social capital (SCAP). To the best of our knowledge, no studies have adopted the textual approach to evaluate social reporting quality and CSR activities in the context of the banking industry in China.

The purpose of this paper is to give a review on the newest developments of high-performance finite element methods (FEMs), and exhibit the recent contributions achieved by the authors’ group, especially showing some breakthroughs against inherent difficulties existing in the traditional FEM for a long time.

Three kinds of new FEMs are emphasized and introduced, including the hybrid stress-function element method, the hybrid displacement-function element method for Mindlin–Reissner plate and the improved unsymmetric FEM. The distinguished feature of these three methods is that they all apply the fundamental analytical solutions of elasticity expressed in different coordinates as their trial functions.

The new FEMs show advantages from both analytical and numerical approaches. All the models exhibit outstanding capacity for resisting various severe mesh distortions, and even perform well when other models cannot work. Some difficulties in the history of FEM are also broken through, such as the limitations defined by MacNeal’s theorem and the edge-effect problems of Mindlin–Reissner plate.

These contributions possess high value for solving the difficulties in engineering computations, and promote the progress of FEM.

Pre-construction of a project comprises stages that are pivotal for the procurement performance. It is defined as the duration from the project's initiation to construction. However, Private Public Partnerships (PPPs) have been subjected to a long pre-construction, thereby leading to an inefficient development process. Therefore, the purpose of this paper is to pay attention to the influencing factors elongating the pre-construction duration.

Based on data of 5,677 PPP projects between 2009 and 2021 in China, the authors adopt the Accelerated Failure Time (AFT) model in duration analysis to empirically analyze the following underlying dynamics determining the duration of PPP pre-construction stages: (1) policy uncertainty; (2) corruption; and (3) procurement method selection. To observe the influencing paths more specifically, the authors divided the pre-construction duration into the pre-tendering period and tendering period and regressed them separately.

The results indicate that the pre-construction duration is significantly prolonged with increased policy uncertainty and corruption degree as well as the use of tendering methods. Meanwhile, the above factors have a greater impact on the pre-tendering period than the tendering period.

The contribution of this study is twofold: (1) theoretically, this paper provides new evidence on the impact of PPP policy uncertainty, corruption and procurement method selection on the pre-construction duration. It complements empirical studies on the factors elongating the time efficiency of PPPs projects. (2) In practice, it provides a specific path for the government to improve the time efficiency of PPPs.

Weather forecasting is the trending topic around the world as it is the way to predict the threats posed by extreme rainfall conditions that lead to damage the human life and properties. These issues can be managed only when the occurrence of the worse weather is predicted in advance, and sufficient warnings can be executed in time. Thus, keeping in mind the importance of the rainfall prediction system, the purpose of this paper is to propose an effective rainfall prediction model using the nonlinear auto-regressive with external input (NARX) model.

The paper proposes a rainfall prediction model using the time-series prediction that is enabled using the NARX model. The time-series prediction ensures the effective prediction of the rainfall in a particular area or the locality based on the rainfall data in the previous term or month or year. The proposed NARX model serves as an adaptive prediction model, for which the rainfall data of the previous period is the input, and the optimal computation is based on the proposed algorithm. The adaptive prediction using the proposed algorithm is exhibited in the NARX, and the proposed algorithm is developed based on the Grey Wolf Optimization and the Levenberg–Marqueret (LM) algorithm. The proposed algorithm inherits the advantages of both the algorithms with better computational time and accuracy.

The analysis using two databases enables the better understanding of the proposed rainfall detection methods and proves the effectiveness of the proposed prediction method. The effectiveness of the proposed method is enhanced and the accuracy is found to be better compared with the other existing methods and the mean square error and percentage root mean square difference of the proposed method are found to be around 0.0093 and 0.207.

The rainfall prediction is enabled adaptively using the proposed Grey Wolf Levenberg–Marquardt (GWLM)-based NARX, wherein an algorithm, named GWLM, is proposed by the integration of Grey Wolf Optimizer and LM algorithm.

The aim of this study was to fabricate polyimide (PI)/Al₂O₃ composite films via surface modification and ion exchange techniques, and examine their properties.

The method involves hydrolyzing the PI film double surface layers in an aqueous potassium hydroxide (KOH) solution and incorporating aluminium ions (Al3+) into the hydrolyzed layers of the PI film via subsequent ion exchange, followed by a treatment of the Al3+-loaded PI films with an aqueous ammonia solution, which leads to the formation of Al(OH)₃ in the surface-modified layers. After a final thermal annealing treatment in ambient air, the Al(OH)₃ decomposes to Al₂O₃, and forms composite layers on both surfaces of the re-imidized PI film.

The PI/Al₂O₃ composite film obtained with a 6 hours of KOH treatment exhibited excellent thermal stability, good mechanical properties and better electric breakdown strength and corona-resistance properties than the pristine PI film.

The method for obtaining the composite films in this paper is worth consideration, but additional research will be needed. Furthermore, this method is of general importance for the fabrication of composite PI films with tailored properties.

This study showed that surface modification and ion-exchange techniques are powerful methodologies for the fabrication of PI/Al₂O₃ composite films.