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During metro construction using the shield method, the construction process's complexity, the construction environment's variability, and other factors can easily lead to tunnel construction accidents. This paper aims to explore the interconnections between risk factors and related accident types, as well as the risk chain formed between risk factors, and to analyze the key risk factors and vulnerabilities in shield tunnel construction through empirical data.

Based on the social network analysis theory, the connection of various risk factors in subway shield tunnel construction is explored, and the mechanism of multiple risk factors is studied. Through literature analysis, articles on safety risk factors in metro shield tunnel construction are organized and studied, and the identified safety risk factors can comprehensively reflect the significant risks that need to be concerned in metro shield tunnel construction.

The results show that a small world characterizes the SNA network of safety risk factors for metro shield tunnel construction: The frequency of association between the five risk factors “unsafe behavior,” “site management,” “safety supervision and inspection,” “safety education system” and “safety protection” is higher than that of other factors. Only a few risks, such as “site management,” “safety supervision and inspection,” and “rapid response capability,” directly lead to accidents. In addition, risk factors such as the “safety education system” and “safety protection” will indirectly cause unsafe behaviors of construction personnel.

During construction, the probability of occurrence of risk factors may vary with the construction phase and area and is not considered in this paper. In addition, although this paper identifies, determines and analyzes the risk factors affecting the safety of metro shield tunnel construction, including the importance of each risk factor and the connection between them, more detailed information before and after the accident could not be obtained based on the accident investigation report alone. Therefore, future research can collect the same accident case from more sources to obtain more information.

The theory of accident causation has been improved at the theoretical level. The identified safety risk factors can comprehensively reflect the significant risks that need to be paid attention to in metro shield tunnel construction. From a practical point of view, the results of the study provide a basis for the rational control of the risk factors in the construction of subway shield tunnels, which can help guide practitioners to do a good job of risk prevention before the construction of metro shield tunnels and reduce the probability of related accidents.

This study expands the application of social network analysis in the field of subway tunnel construction risk, quantitatively analyzes the key risk factors and vulnerabilities in shield method tunnel construction and proposes policy recommendations for future metro tunnel construction safety management.

The mechanical properties, including elastic constants and moduli, indicate the material’s stiffness and stability. Our calculations reveal that CuMg2GaS4 is a direct bandgap semiconductor, 2.18 eV. A detailed analysis of the electronic structure provides an insight into the bonding characteristics and charge distribution within the material.

This work presents a comprehensive investigation of the structural, electronic, optical, mechanical properties of the CuMg2GaS4 compound using density functional theory (DFT) calculations. Unlike its counterpart CuMg2InS4, which exhibits a tetragonal WS structure, CuMg2GaS4 is found to be an energetically stable in the monoclinic phase.

The calculated effective masses of electrons (0.38 m0) and holes (1.28 m0) suggest promising charge carrier mobility within the compound. Furthermore, based on the evaluation of electronic structure and optical absorption properties of CuMg2GaS4 in relation with the redox potentials of water, this demonstrates its potential as a promising candidate for efficient photocatalytic water splitting under visible light irradiation. These findings contribute to the understanding of the structural and functional properties of CuMg2GaS4 and pave the way for its potential applications in optoelectronic and energy conversion devices.

The prime novelty is to employ ab initio self-consistent Full-Potential Linearized augmented plane wave + local orbital method (FP-LAPW + lo) and investigate the properties of CuMg2GaS4 of structural, mechanical, thermodynamic stabilities, linear optical response.

This study aims to develop high-performance truck trailer supports using polyamide PA6, a thermoplastic material renowned for its mechanical strength, durability and adaptability to extreme conditions. By analysing the material’s properties and exploring manufacturing methods such as injection moulding and 3D printing, the research seeks to optimise the design and production of supports capable of withstanding heavy-duty mechanical stresses. The ultimate goal is to provide the transport industry with reliable, cost-effective and durable solutions that meet safety standards and performance demands, ensuring enhanced operational efficiency and resilience in challenging environments.

The study investigates the design and production of truck trailer supports using polyamide PA6, chosen for its high mechanical strength, thermal stability, and resistance to wear and chemical exposure. The research evaluates manufacturing techniques, including injection moulding and 3D printing, to optimise part performance and durability under heavy-duty mechanical stresses. Emphasis is placed on designing supports capable of enduring harsh environmental conditions while ensuring safety and cost-efficiency. By leveraging the superior properties of PA6, the study aims to develop reliable solutions that meet the transport industry’s stringent performance and economic requirements.

The study confirms that using PA6 polyamide for truck trailer supports is an innovative and cost-effective solution, offering superior mechanical performance and environmental resistance. A detailed analysis of PA6 properties and manufacturing methods reveals its suitability as a robust and durable alternative for trailer supports. This integration marks a significant advancement in improving trailer efficiency and performance while maintaining quality standards. The findings underscore the importance of leveraging technological advancements to address challenges in innovation and sustainability, supporting the growth of the transport and logistics sector.

This study introduces an innovative approach to designing truck trailer supports by utilising polyamide PA6, highlighting its superior mechanical properties and environmental resilience. By combining material analysis with advanced manufacturing techniques, such as injection moulding and 3D printing, the research provides a novel framework for producing durable, cost-effective components tailored to the transport industry’s demands. The originality lies in the integration of PA6 into heavy-duty applications, showcasing its potential to enhance performance, efficiency and sustainability. This work adds significant value by addressing critical industry challenges and offering practical solutions that align with modern safety and environmental standards.

This study examines the impact of customer value creation on hotel performance. Customer value is seen as a multi-phase and multi-party process that combines hotel and tourist perspectives while also integrating the participation of frontline employees. The study also investigates financial performance (FP) and customer-based performance (CBP).

Data were collected from Morocco through multiple-informant design surveys to explore three perspectives related to three actors involved in the process, that is, the managers, the employees and the tourists. The hypotheses were tested with SmartPLS4.

The findings reveal that customer value positively and significantly impacts not only the FP of hotels but also the CBP. The results highlight a sequential relationship in which each actor drives the subsequent phase to definitively enhance the hotel's performance. The results further show significant mediation effects in the customer value sequence. Moreover, the results show a significant and positive effect of CBP on FP.

Theoretical and managerial implications of the research are discussed and future important researches are drawn from the study limitations.

Managers must be aware that frontline employees and guests are crucial for creating customer value, which enables to improve their performance. The results highlight that hotels should motivate and involve frontline employees in value propositions (VP) development. Furthermore, the guests are the final arbiters of value who drive hotels' performance. Moreover, for additional FP, managers are required both to deliver superior value and create loyal customers.

This study mostly confirms previous findings and highlights a sequential relationship among three phases involving three actors of customer value. However, it reveals more reasonable and robust results in the mediation effect of the value offering (VO) between the VP and the perceived value-in-use (PVI). This study is also the first to provide evidence on the mediation effect of the PVI between the VO and the CBP.

This study aims to build a comprehensive model for developing higher education institutes (HEIs) brand equity by examining the impact of HEIs intangible resources, brand management aspects, attachment strength and student’s contemporary citizenship behavior (CCB).

Data were gathered through a self-administered questionnaire from Indian students and alumni (n = 703). The study examines the proposed comprehensive model through serial and multiple mediation analysis.

The study unfolded “service quality? brand image? attachment strength? word-of-mouth? brand equity” as the most significant path to develop HEI’s brand equity.

This study pioneers an empirically validated mechanism for developing brand equity in HEIs, addressing gaps identified by previous studies and offering a theoretical framework that elucidates how HEIs can leverage intangible resources through strategic brand management to foster attachment and influence positive student behaviors, thereby contributing to the development of HEI brand equity.

HEIs need to understand that relying solely on tangible aspects leads to short-lived effects. To maintain a lasting competitive advantage, HEIs should focus on crafting a rich historical narrative, retaining talented faculty and staff and earning respect from the public to build a lasting reputation.

This study develops the mechanism for developing brand equity of HEIs using its valuable, rare and inimitable intangible resources. Along with the introduction of novel constructs like competence, heritage and word-of-mouth to existing study, the proposed conceptual model is premised on the theory of self-congruence, social-exchange theory and CCB.

The purpose of this paper is to solve the problem of adaptive predefined-time control for spacecraft rendezvous maneuver with input quantization and unknown parameters.

A significant error-shifting function is established to ensure that the limitation of the initial condition can be ignored. Then, a combination of neural networks method and minimum-learning-parameter method is used to mitigate the adverse effects caused by nonlinear system dynamics. An input quantization method is applied to improved efficiency of data communication between controller and actuator in rendezvous maneuver control system.

The simulation results verify the correctness and effectiveness of the designed control strategy which can effectively overcome the disadvantages caused by coupling nonlinear system dynamics.

This paper designs an adaptive predefined-time control method for spacecraft rendezvous maneuver control with input quantization based on backstepping control method.

This study aims to examine the impact of corporate social responsibility (CSR) on customer-based brand equity (CBBE), with a focus on the mediating role of customer value cocreation (CVCC). The objective is to understand the direct and indirect links between CSR and the dimensions of CBBE (image, quality, awareness, loyalty) in the context of the luxury hotel industry, thus filling existing gaps.

This quantitative study of luxury hotel guests in Morocco used a questionnaire. After a pilot study with 10 professionals, the final version was administered, generating 204 valid responses. Purposive convenience sampling was chosen. PLS analysis was favored.

The results highlight the significant influence of CSR on the four dimensions of CBBE. Likewise, CVCC exerts a significant effect on CBBE aspects, except for brand loyalty. CVCC partially mediates the relationship between CSR and brand image, perceived quality and brand awareness. However, it does not have a significant mediating role in the CSR−brand loyalty relationship.

The study, despite its contributions, is limited to the luxury hotel industry in Morocco, raising concerns of external validity. Future research should diversify service contexts and explore the multidimensionality of CSR.

Luxury hotel managers should prioritize authentic communication to optimize their CBBE through CVCC. An inclusive and strategic approach to cocreation is essential to strengthen the impact of CSR on CBBE. Integrating CSR into customer touchpoints and human resources policies is crucial.

This study, to the best of the authors’ knowledge, enriches understanding of the complex interactions between CSR, CVCC and CBBE in Morocco and North Africa. Its originality lies in its exclusive contribution to the region’s marketing literature, broadening the field of knowledge. By exploring these relationships in the specific context of the region, it offers new perspectives to researchers and practitioners interested in CSR, CVCC and CBBE.

This study examines how top global brands changed their corporate social responsibility (CSR) communication on social media during a victim crisis, and how their CSR communication on social media influenced consumer sentiment.

Using 18,502 firms’ Facebook posts and their most relevant consumer comments from pre-pandemic and during-pandemic timeframes, this study integrates machine learning techniques (BERTopic) with human-based qualitative analysis to analyze CSR posts. It also measures the polarity and magnitude of consumer sentiment with Google Natural Language AI. We tested seven hypotheses using Hierarchical Linear Modeling (HLM).

The machine learning-based topic modeling analysis showed that firms increased CSR communications intensity on social media and they more intentionally chose different CSR communication strategies for different topics on social media during the victim crisis. The hypothesis testing results show proactive, accommodative and interactive strategies have a significant impact on consumer sentiment polarity and magnitude, and these effects are moderated by the level of interactivity and industry type.

(1) This study takes a dynamic view to examine the firms’ CSR communication on social media during a victim crisis. It used machine learning-based text analytics and found many interesting results on how firms changed their CSR communication topics and strategies on social media during the crisis. (2) It measures both consumer sentiment polarity and sentiment magnitude to conduct sentiment analysis. The results indicate that the CSR communication strategies have different impacts on the two sentiment components. (3) It integrates machine learning techniques with human-based qualitative analysis. It shows how researchers can gain the benefits of both approaches.

This study aims to explore and address critical aspects of IoT adoption within supply chains by identifying the key enablers and barriers, examining the drivers and challenges, and assessing the benefits and drawbacks associated with IoT implementation. Additionally, the study aims to provide insights into how organizations can leverage IoT to enhance supply chain performance across economic, operational, social, and environmental dimensions.

This study employed a systematic literature review strategy to identify relevant research published between 2009 and 2024. Using the Scopus database, an initial search yielded 369 publications. Preliminary selection criteria were then applied to narrow down the articles for further detailed evaluation. This process led to an in-depth review of 123 publications, from which data were meticulously extracted, organized into tables and analyzed. Finally, the authors developed a categorization system based on the scope and temporal aspects of IoT implementation.

This study developed a comprehensive model that identified six themes influencing IoT implementation in supply chains: pre-implementation enablers and barriers, drivers and challenges during implementation, and post-implementation benefits and drawbacks. Recommendations were mapped into four performance dimensions: environmental, social, operational, and economic. The analysis showed that IoT can enhance supply chain risk management, process integration, sustainability, collaboration, resilience, and performance measurement. Key technologies aiding IoT implementation include blockchain, radio frequency identification (RFID), enterprise resource planning (ERP), and cloud computing.

This study is one of the few to conduct a comprehensive review of widely cited papers on IoT adoption in supply chains. It systematically summarizes the enablers, barriers, drivers, challenges, benefits, and drawbacks associated with such adoption. Furthermore, it proposes a distinctive model designed to assist organizations in successfully implementing IoT technologies, thereby filling a critical gap in the existing literature.

The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams and future research directions in SFA.

The results are obtained using bibliometric citation analysis and content analysis to conduct a bibliometric review of the intersection of sustainable finance and sustainable accounting using a sample of 795 articles published between 1991 and November 2023.

The most influential factors in the SFA literature are identified, highlighting three primary areas of research: corporate social responsibility and environmental disclosure; financial and economic performance; and regulations and standards.

SFA has experienced rapid development in recent years. The results identify the current research domain, guide potential future research directions, serve as a reference for SFA and provide inspiration to policymakers.

SFA typically encompasses sustainable corporate business practices and investments. This study contributes to broader social impacts by promoting improved corporate practices and sustainability.

This study expands on previous research on SFA. The authors identify significant aspects of the SFA literature, such as the most studied nations, leading journals, authors and trending publications. In addition, the authors provide an overview of the three major streams of the SFA literature and propose various potential future research directions, inspiring both academic research and policymaking.