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The paper aims to develop an efficient data-driven modeling approach for the hydroelastic analysis of a semi-circular pipe conveying fluid with elastic end supports. Besides the structural displacement-dependent unsteady fluid force, the steady one related to structural initial configuration and the variable structural parameters (i.e. the variable support stiffness) are considered in the modeling.

The steady fluid force is treated as a pipe preload, and the elastically supported pipe-fluid model is dealt with as a prestressed hydroelastic system with variable parameters. To avoid repeated numerical simulations caused by parameter variation, structural and hydrodynamic reduced-order models (ROMs) instead of conventional computational structural dynamics (CSD) and computational fluid dynamics (CFD) solvers are utilized to produce data for the update of the structural, hydrodynamic and hydroelastic state-space equations. Radial basis function neural network (RBFNN), autoregressive with exogenous input (ARX) model as well as proper orthogonal decomposition (POD) algorithm are applied to modeling these two ROMs, and a hybrid framework is proposed to incorporate them.

The proposed approach is validated by comparing its predictions with theoretical solutions. When the steady fluid force is absent, the predictions agree well with the “inextensible theory”. The pipe always loses its stability via out-of-plane divergence first, regardless of the support stiffness. However, when steady fluid force is considered, the pipe remains stable throughout as flow speed increases, consistent with the “extensible theory”. These results not only verify the accuracy of the present modeling method but also indicate that the steady fluid force, rather than the extensibility of the pipe, is the leading factor for the differences between the in- and extensible theories.

The steady fluid force and the variable structural parameters are considered in the data-driven modeling of a hydroelastic system. Since there are no special restrictions on structural configuration, steady flow pattern and variable structural parameters, the proposed approach has strong portability and great potential application for other hydroelastic problems.

The purpose of this paper is to propose a consensus method for multi-attribute group decision-making (MAGDM) problems based on preference-approval structure and regret theory, which can improve the efficiency of decision-making and promote the consensus level among individuals.

First, a new method to obtain the reference points based on regret theory and expert weighting method is proposed. Second, a consensus reaching method based on preference-approval structure is proposed. Then, an adjustment mechanism to further improve the consensus level between individuals is designed. Finally, an example of the assessment of elderly care institutions is used to illustrate the feasibility and effectiveness of the proposed method.

The feasibility and validity of the proposed method are verified by comparing with the advanced two-stage minimum adjustment method. The compared results show that the proposed method is more consistent with the actual situation.

This paper presents a consensus reaching method for MAGDM based on preference-approval structure, which considers the avoidance behaviors of individuals and reference points. Decision makers (DMs) can use this approach to rank and categorize alternatives while further increasing the level of consensus among them. This can further help determine the optimal alternative more efficiently.

A new MAGDM problem based on the combination of regret theory and individual reference points is proposed. Besides, a new method of obtaining experts' weights and a consensus reaching method for MAGDM based on preference-approval structure are designed.

In real life, excitations are highly non-stationary in frequency and amplitude, which easily induces resonant vibration to structural responses. Conventional control algorithms in this case cannot guarantee cost-effective control effort and efficient structural response alleviation. To this end, this paper proposes a novel adaptive linear quadratic regulator (LQR) by integrating wavelet transform and genetic algorithm (GA).

In each time interval, multiresolution analysis of real-time structural responses returns filtered time signals dominated by different frequency bands. Minimization of cost function in each frequency band obtains control law and gain matrix that depend on temporal-frequency band, so suppressing resonance-induced filtered response signal can be directly achieved by regulating gain matrix in the temporal-frequency band, leading to emphasizing cost-function weights on control and state. To efficiently subdivide gain matrices in resonant and normal frequency bands, the cost-function weights are optimized by a developed procedure associated to genetic algorithm. Single-degree-of-freedom (SDOF) and multi-degree-of-freedom (MDOF) structures subjected to near- and far-fault ground motions are studied.

Resonant band requires a larger control force than non-resonant band to decay resonance-induced peak responses. The time-varying cost-function weights generate control force more cost-effective than time-invariant ones. The scheme outperforms existing control algorithms and attains the trade-off between response suppression and control force under non-stationary excitations.

Proposed control law allocates control force amounts depending upon resonant or non-resonant band in each time interval. Cost-function weights and wavelet decomposition level are formulated in an elegant manner. Genetic algorithm-based optimization cost-efficiently results in minimizing structural responses.

This study examines the relationship between streamers' product descriptions, customer comments and online sales and focuses on the moderating effect of streamer–viewer relationship strength.

Between June 2021 and April 2022, the structured data of 965 livestreaming and unstructured text data of 42,956,147 characters from two major live-streaming platforms were collected for the study. Text analysis and regression analysis methods were employed for data analysis.

First, the authors' analysis reveals an inverted U-shaped relationship between comment length and product sales. Notably, comment volume and comment emotion positively influence product sales. Furthermore, the semantic richness, emotion and readability of streamers' product descriptions also positively influence product sales. Secondly, the authors find that the strength of streamer–viewer relationship weakens the positive effects of comment volume and comment emotion without moderating the inverted U-shaped effect of comment length. Lastly, the strength of streamer–viewer relationship also diminishes the positive effects of emotion, semantics and readability of streamers' product descriptions on product sales.

This study is the first to concurrently examine the direct and interactive effects of user-generated content (UGC) and marketer-generated content (MGC) on consumer purchase behaviors in livestreaming e-commerce, offering a novel perspective on individual decision-making and cue utilization in the social retail context.

On the basis of social identity theory, the purpose of this study is to simultaneously examine how social-based identity (i.e. organizational identification and supervisor support) and personal-based identity (i.e. work-related characteristics and job embeddedness) influence employees’ service sabotage.

By using a sample of 685 employee–customer dyads, this study investigated whether the cross-level moderating roles of organizational identification and supervisor support can activate linkage between work-related characteristics and job embeddedness.

The results of this study indicated that job embeddedness mediates the multiple cross-level effects of organizational identification, supervisor support and work-related characteristics on service sabotage. Moreover, work-related characteristics influence job embeddedness more positively in higher than lower levels of organizational identification and supervisor support.

This study provides a valuable approach to effective management practices, helps to clarify identification at work and expands perceived external prestige for hospitality companies.

These findings support that identity in organizations can be recognized as one of the fundamental concepts that influence individual psychological traits, capabilities, bodily attributes, group classifications and organizational effectiveness.

Drawing on social exchange theory, this study aims to investigate the relation of customer sexual harassment (CSH) and customer-oriented organizational citizenship behaviors (customer-oriented OCB), as well as the mediation of customer–employee exchange (CEX) and the moderation of hostile attribution bias.

The hypotheses were examined through a field study performed in six hotels in three Chinese cities and an experimental study.

The results revealed that CSH undermined the quality of CEX, leading employees to withdraw from customer-oriented OCB. Additionally, the hostile attribution bias of service employees reinforced the direct relationship between CSH and CEX and its indirect relationship with customer-oriented OCB via CEX.

The findings suggest that hospitality organizations should endeavor to reduce the occurrence of CSH, and that by valuing and encouraging the development of high-quality CEX, they can mitigate its detrimental effects. Special attention should also be paid to hospitality employees holding strong hostile attribution bias.

First, to the best of the authors’ knowledge, this is one of the first studies to explore the influence of CSH on customer-oriented OCB among hotel employees. In addition, examining the effect of CSH from the social exchange perspective represents a new theoretical approach. The finding also contributes to the literature on CEX by identifying an important antecedent. Finally, by investigating hostile attribution bias as a moderator, this research provides insights into how individual differences moderate the destructive influence of CSH.

The purpose of this paper is to propose a research model in which coworker service sabotage influences hospitality employees’ service creativity via work engagement. It also aims to test the moderating effect of sensitivity to the interpersonal mistreatment of others (SIMO).

A time-lagged questionnaire study was performed in hotels in China. The hypotheses were tested via hierarchical multiple regression.

Coworker service sabotage is indirectly associated with hospitality employees’ service creativity via work engagement. The trait of SIMO buffers the harmful effect of coworker service sabotage.

Although our research design helps mitigate common method bias, it could still exist. Other coworker behaviors that might influence employees were not included in this research. The findings may also be biased due to the restricted sample from China.

Hospitality organizations should take measures to curb service sabotage. Organizations could also provide supportive resources to suppress the negative impacts of coworker service sabotage. Moreover, organizations should motivate those low in SIMO to care more about customers.

The research takes the lead in investigating the outcomes of service sabotage from a third-party perspective. Work engagement is identified as the mechanism for transmitting the impact of coworker service sabotage to employees. Moreover, a new moderator that attenuates the negative effects of coworker service sabotage is found.

Drawing on source credibility theory, this study aims to explore the relationship between influencers’ characteristics and followers’ well-being through followers’ stickiness to influencers’ channels or posts.

The authors gathered data through an online survey of 450 followers. The proposed hypotheses were examined using structural equation modeling.

Results reveal that trustworthiness and physical attractiveness positively affect followers’ stickiness to influencers, while the influence of expertise is not evident. Stickiness has positive impacts on both hedonic and eudaimonic well-being. The findings also show that stickiness mediates the relationships between physical attractiveness and trustworthiness toward both hedonic and eudaimonic well-being.

To the best of the authors’ knowledge, this study is among the first to explore the impact of influencers’ characteristics on followers’ stickiness to influencer webpages. The findings contribute to transformative service research and the theory of stickiness by deepening the understanding of how influencer characteristics contribute to followers’ well-being through the effect of users’ stickiness.

The COVID-19 pandemic has brought tremendous changes in society. Universities were among the few organisations with some previous knowledge of online education, being able to rapidly adapt by transferring already known best practices to the new context. As teaching moved to online, students encountered less sustainable implementation by their universities. This allowed the development of previously planned sustainable strategies so that when face-to-face teaching resumed, universities could be even more sustainable. This paper aims to explore loyalty to the sustainable university during the later COVID-19 pandemic based on the university’s efforts to manage a green campus.

To investigate loyalty towards the sustainable university during the later COVID-19 pandemic, a conceptual model is proposed. This research is grounded in an empirical investigation using a quantitative online survey implemented with online interviews, the relations between all latent constructs being analysed with SmartPLS.

The results show that university sustainability reflects student loyalty, outlining the image developed under the influence of green campus management. The results show that universities must intensify their efforts to support the sustainable agenda and create a sustainable academic brand, inducing student loyalty. The findings may attract the attention of other universities wishing to gain knowledge about the factors that students consider important in generating their loyalty.

As this research was carried out in the later COVID-19 pandemic context from 2021, the students already had experience of online teaching, so their assessment of the sustainability strategies implemented could be quite different from their perceptions in the first months of the pandemic. This research provides a comprehensive insight into the overall strategy that a sustainable university might apply in a crisis context.

Research has shown that green campus management has a positive impact on the sustainability of a university’s image, on how students perceive the university at which they study and on the university’s efforts to ensure efficient campus management. These factors contribute to the development of a strong and sustainable image of the university within the community.

The originality of this paper lies in the research questions designed to conceptualise and operationalise the generation of students' loyalty towards their university by encouraging and implementing sustainable strategies on campus. This paper highlights a structural model that combines strategic practices to determine students' loyalty towards a sustainable university during the COVID-19 pandemic.

Gallic acid is a substance that is widely found in nature. Initially, it was only used as a corrosion inhibitor to retard the rate of corrosion of metals. In recent years, with intensive research by scholars, the modification of coatings containing gallic acid has become a hot topic in the field of metal protection. This study aims to summarize the various preparation methods of gallic acid and its research progress in corrosion inhibitors and coatings, as well as related studies using quantum chemical methods to assess the predicted corrosion inhibition effects and to systematically describe the prospects and current status of gallic acid applications in the field of metal corrosion inhibition and protection.

First, the various methods of preparation of gallic acid in industry are understood. Second, the corrosion inhibition principles and research progress of gallic acid as a metal corrosion inhibitor are presented. Then, the corrosion inhibition principles and research progress of gallic acid involved in the synthesis and modification of various rust conversion coatings, nano-coatings and organic resin coatings are described. After that, studies related to the evaluation and prediction of gallic acid corrosion inhibition on metals by quantum chemical methods are presented. Finally, new research ideas on gallic acid in the field of corrosion inhibition and protection of metals are summarized.

Gallic acid can be used as a corrosion inhibitor or coating in metal protection.

There is a lack of research on the synergistic improvement of gallic acid and other substances.

The specific application of gallic acid in the field of metal protection was summarized, and the future research focus was put forward.

To the best of the authors’ knowledge, this paper systematically expounds on the research progress of gallic acid in the field of metal protection for the first time and provides new ideas and directions for future research.