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Peer review plays a crucial role in scientific writing and the publishing process, assessing the quality of research work. As the volume of paper submissions increases, peer review becomes increasingly burdensome, highlighting the importance of studying the duration of peer review. This study aims to explore the correlation between review aspect sentiment and the duration of peer review as well as the differences in this relationship across different disciplines and review rounds. Thus helping authors make targeted revisions and optimizations to their papers while reducing the duration of peer review, which enables authors’ research findings to reach the academic community and public domain more rapidly.

The study employs a two-step approach to understand the impact of review aspects on the duration of peer review. First, it extracts fine-grained aspects from peer review comments and uses sentiment classification models to classify the sentiment of each review aspect. Then, it conducts a correlation analysis between review aspect sentiment and the duration of peer review. Additionally, the study calculates sentiment scores for various review rounds to explore the differences in the impact of review aspect sentiment on the duration of peer review across different review rounds.

The study found that there is a weak but significant negative correlation between the sentiment of the review and the duration of peer review. Specifically, the aspect clusters, such as Evaluation & Result and Impact & Research Value, exhibit a relatively stronger correlation with the duration of peer review. Additionally, the correlation between review aspect sentiments and the duration of peer review varies significantly in different review rounds.

The significance of this study lies in connecting peer review comments text with the peer review process. By analyzing the correlation between review aspects and the duration of peer review, it identifies aspects that have a greater impact on the duration of peer review. This helps improve the efficiency of peer review from the perspectives of authors, reviewers and editors. Thus alleviating the burden of peer review and accelerating academic exchange and knowledge dissemination.

It evaluated the seismic vulnerability based on fewer factors by presenting the effectiveness of seismic and structural parameters. The proposed method first demonstrated the effect of earthquake ground motion inputs on predicting the slight, moderate, extensive and collapse limit states and confirmed the method’s efficiency. The fragility curves illustrated with the approach of the present study are compared with the traditional techniques, such as analytical methods.

Based on the different macro- and micro-structural characteristics and the earthquake records, achieving a certain relation from regression analysis using artificial neural networks (ANNs) is difficult. With this background in mind, the present study aimed to compare the proposed model of the considered bridge with the analytical and ANN results. After statistical analysis and estimation of the most effective factors in predicting responses from the proposed approach, two-parameter two- and three-dimensional fragility curves are extracted.

Due to the structural differences between horizontally curved bridges, the methodology does not require any classification of bridge classes to predict responses. For a specific L/R of the bridge, the parameters cumulative absolute velocity (CAV) and Sa (T1) can provide a good estimate of the seismic fragility curves, and the proposed approach with less parameter assignment also leads to good results. With less computational effort, fragility curves can be illustrated.

The proposed method demonstrated the ability to accurately estimate the occurrence and non-occurrence limit states while maintaining a low computational cost and the derivation of a curved bridge’s seismic fragility curve.

This study aims to investigate the potential of wood as a water-lubricated bearing material, determine the factors influencing the water-lubricated properties of wood and identify suitable alternatives to Lignum vitae.

Three resource-abundant wood species, Platycladus orientalis, Cunninghamia lanceolata and Betula platyphylla, were selected, and their properties were compared with those of Lignum vitae. The influencing mechanism of the tribological properties of different woods under water lubrication was thoroughly analyzed, in conjunction with the characterization and testing of mechanical properties, micromorphology and chemical composition.

The findings reveal that the mechanical properties and inclusions of wood are the primary factors affecting its tribological properties, which are significantly influenced by the micromorphology and chemical composition. The friction experiment results demonstrate that Lignum vitae exhibits the best tribological properties among the four wood species. The tribological properties of Platycladus orientalis are comparable to those of Lignum vitae, being only 17.1% higher. However, it is noted that higher mechanical properties can exacerbate the wear of the grinding pair.

The originality of this study lies in the combination of friction experiments and wood performance tests to identify the factors contributing to the superior water lubrication performance of wood, thereby guiding the application and improvement of different wood types in water-lubricated bearings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0284/

This paper divides the dyadic supply chain into three power structures according to the relative channel power of the supply chain members and consequently examines the optimal supply chain pricing decisions when both suppliers and retailers are concerned with fairness issues.

Three models are constructed, namely the Stackelberg game model with the supplier as the leader, the Nash game model with the balance of power and another Stackelberg game model with the retailer as the leader. The equilibrium solutions are solved, and their results are analyzed.

The retail price of a product increases with an increase in the fairness concerns of the leader in a supply chain in which the supplier or retailer is the leader, while the fairness concerns of the member with less channel power have no effect on the retail price. In a power-balanced supply chain, both suppliers and retailers increase their retail prices as their fairness concerns increase. The relative size of the members’ fairness concerns affects member profits and total supply chain profits.

The main contributions are as follows: First, this paper proposes a new approach to studying supply chain pricing strategy, considering fairness concerns and power structure. Secondly, three game models are constructed. The Nash equilibrium solution is introduced to study the fairness of supply chain participants in pricing decisions and overall supply chain profitability. Finally, the supply chain management theory is expanded by this study on pricing decisions and supply chain performance.

Although negative workplace gossip is ubiquitous, we know little about how it influences the sender–receiver relationship. Drawing on attribution theory and the warmth–competence framework, we develop a theoretical model to examine how receivers’ self-serving motives attribution affects their judgments (i.e. warmth and competence) of senders who share negative workplace gossip and their subsequent responses (i.e. interaction avoidance and willingness to cooperate) to these senders.

We collected multi-wave data from 273 employees in China and tested our hypotheses using path analysis.

Our results revealed that when receivers attributed negative workplace gossip to self-serving motives, they perceived the senders to be less warm and competent and subsequently showed more interaction avoidance and less willingness to cooperate with the senders.

These findings suggest that organizations should commit to implementing communication training programs to improve employees’ interpersonal communication skills and guide employees to interpret senders’ intentions with multiple cues.

The finding regarding the moderating role of self-serving motives attribution adds to the literature examining when receivers respond destructively to senders. Analysis of the mediating effects of warmth and competence further revealed the mechanisms of these effects.

This research examines how supply chain collaboration, underpinned by stakeholder trust, information sharing and strategic partnerships, impacts the performance of manufacturing SMEs in Rwanda. The focus on manufacturing SMEs is due to their vital role in the economy and their distinctive resource dynamics.

The study demonstrates that supply chain collaboration, particularly through strategic partnerships and stakeholder trust, positively impacts supply chain performance. While information sharing’s influence is currently limited by technological constraints, the findings highlight the need for a comprehensive approach to address existing challenges and emphasise the crucial roles of stakeholders and policymakers in supporting SMEs’ performance.

This research contributes to a broader understanding of supply chain collaboration, its impact on performance, its interactions with other organisational factors and its implications for managerial decision-making, academic research and supply chain partnerships.

This research is one of the few to demonstrate the impact of supply chain collaboration on the performance of manufacturing SMEs in developing countries, particularly Rwanda.

This study aims to develop a resilient contractor selection model that also considers community concerns in post-disaster reconstruction projects using a “build-back better (BBB)” approach.

At the outset, a comprehensive literature review was conducted to develop the model. During this literature review, a set of contractor selection criteria were identified. Focus group discussion (FGD) sessions were then organized to revise and refine the identified criteria. As a result, a final list of 39 selection criteria was developed. Next, the Bayesian best worst method (BBWM) was conducted to determine the weights of each selection criterion. Finally, the proposed model was validated by conducting a hypothetical case study and fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (fuzzy VIKOR) analysis. Moreover, a sensitivity analysis was conducted to examine the effect of the maximum group utility (v) value in the model.

The results emphasized that contractors in post-disaster reconstruction projects cannot be selected merely based on “technical” and “economic” factors. Instead, the other aspects, namely “organizational and managerial,” “environmental sustainability,” “resource management and procurement” and “end-user,” should also be taken into consideration. Second, factors related to financial strength, experience, risk management, energy efficiency, resource availability and assurance were particularly deemed the most significant, needing the detailed attention of the decision-makers. Lastly, the case study revealed that the proposed model has a significant potential to systemize contractor selection processes in post-disaster reconstruction projects.

Disasters, which are increasing in frequency and severity today, devastate the community’s environmental, economic and social conditions. Post-disaster reconstruction projects commence rapidly after a disaster for recovery. However, poor management procedures in these projects trigger time and cost overruns. Unlike traditional construction projects, post-disaster reconstruction projects are distinctive due to the uncertainties caused by the disasters and the prioritization of community concerns. Therefore, contractors should be selected in a way that can meet the specific needs of reconstruction projects. Otherwise, resilience in the built environment and community satisfaction can hardly be enhanced. Accordingly, this study is one of the first attempts to develop a contractor selection model for post-disaster reconstruction projects. It is believed that the developed model will make essential theoretical and practical contributions to the post-disaster reconstruction domain.

Technology addiction is an increasingly severe problem. TikTok has become increasingly popular recently, and its addiction is also a major concern. This study aims to examine the antecedents and outcomes of TikTok addiction.

The authors collect 579 data from Chinese users using an online survey. The authors use structural equation modeling with partial least squares (PLS-SEM) to analyze data and test hypotheses.

The results illustrate that perceived enjoyment, social relationship, utilitarian need and social influence positively affect TikTok addiction. Both social anxiety and loneliness have positive effects on TikTok addiction. Moreover, parasocial relationships positively moderate the association between the antecedents of self-determination theory (SDT) (perceived enjoyment, social relationship, utilitarian needs, social influence, social anxiety and loneliness) and TikTok addiction. Meanwhile, TikTok addiction intensifies conflicts, including technology-family conflict, technology-person conflict and technology-work conflict. These conflicts reduce life satisfaction.

It offers practical implications for preventing and avoiding TikTok addiction to create a healthy environment.

This study is one of the few to provide a complete process of TikTok addiction. It systematically investigates the antecedents and outcomes of TikTok addiction.

The purpose of this study is to provide insight into how innovation that outperforms peers (IOP) affects corporate financial misconduct. To this end, on the basis of fraud triangle theory, we develop a theoretical relationship between the two and argue that IOP has an inhibitory effect on corporate financial misconduct.

On the basis of empirical data from Chinese listed companies from 2007–2023, we conduct a series of tests to examine whether, how and under what circumstances IOP affects corporate financial misconduct.

IOP does inhibit corporate financial misconduct. This result is validated in a series of sensitivity tests. Further analysis shows that IOP inhibits corporate financial misconduct by reducing executives' incentives to engage in fraud, reducing the opportunity under which executives are involved in fraud, and inhibiting executives' tendency to rationalize fraud. In addition, the results of cross-sectional tests show that the negative impact of IOP on corporate financial misconduct is more significant when the firm is a high-tech enterprise, with a greater balance of power among shareholders, lower supplier concentration and greater consumer confidence.

First, by examining the impact of IOP and corporate financial misconduct, we enrich and extend the literature on the antecedents of corporate financial misconduct. Second, by theoretically and empirically validating the relationship between IOP and corporate financial misconduct, we extend the literature related to the economic consequences of IOP. Finally, we extend fraud triangle theory to a wider range of applications and provide new perspectives and strategies for further research and intervention in corporate financial misconduct.

This study aims to examine the cost stickiness among the firms listed in six Gulf Cooperation Council countries and whether the Shariah compliance status has an impact of on corporate cost behavior.

The present study uses a sample of non-financial firms listed in six Gulf Cooperation Council (GCC) countries to show that the Shariah compliance status of the firm affects its cost behavior. The study uses panel ordinary least squares and Heckman’s selection bias models to test the hypothesis of the study.

Firms classified as Shariah-compliant experience more cost stickiness compared to non-Shariah-compliant peers. This behavior is attributed to the restrictions on external financing options that Shariah corporates experience. Further analysis shows that the Islamic financial development of a country plays an important role in reducing the cost stickiness among the Shariah compliant firms.

The role of Shariah compliance in a firm’s cost structure is not well-explored in the current literature. This study is the first to investigate the relationship between cost stickiness and Shariah compliance. Further, the study establishes a nexus between cost stickiness, Shariah compliance and Islamic financial development.