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The purpose of the study is to obtain and analyze vibro-acoustic characteristics.

A unified analysis model for the rotary composite laminated plate and conical–cylindrical double cavities coupled system is established. The related parameters of the unified model are determined by isoparametric transformation. The modified Fourier series are applied to construct the admissible displacement function and the sound pressure tolerance function of the coupled systems. The energy functional of the structure domain and acoustic field domain is established, respectively, and the structure–acoustic coupling potential energy is introduced to obtain the energy functional. Rayleigh–Ritz method was used to solve the energy functional.

The displacement and sound pressure response of the coupled systems are acquired by introducing the internal point sound source excitation, and the influence of relevant parameters of the coupled systems is researched. Through research, it is found that the impedance wall can reduce the amplitude of the sound pressure response and suppress the resonance of the coupled systems. Besides, the composite laminated plate has a good noise reduction effect.

This study can provide the theoretical guidance for vibration and noise reduction.

The Korean airline industry continues to change in 20-year cycles structurally. The major changes are in their market through deregulation and liberalization resulting in adding more carriers, especially low-cost carriers (LCCs) from 2006. The authors categorize three types of LCCs in Korea: (1) independent LCCs, (2) LCCs subsidized by existing airlines as airlines-within-airlines (AwAs), and (3) LCCs supported by conglomerates and local governments. Independent LCCs have suffered financially during the research period from 2009 to 2013, especially from the impaired capital, even though these LCCs are growing rapidly and expanding their markets in domestic and international routes. AwAs’ efficiency is higher than that of independent LCCs, the roles in the market are limited because of cannibalization by their mother company.

Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.

We estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.

Applying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.

Our analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.

The findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.

Organizational pursuit of sustainability in multi-tier supply chain systems operating in unpredictable environments is often associated with the emergence of paradoxical tensions. This study aims to summarize and synthesize existing literature on managing various paradoxical tensions in supply chains (i.e. sourcing, making, delivering and reverse logistics) as organizations pursue sustainability transformation. It also strives to motivate new academic research inquiry into developing responses to sustainability paradoxes.

The study draws on a systematic literature review of 73 papers from the Web of Science database selected at the intersection of paradox, sustainability and logistics/ supply chain management (SCM). Applying paradox theory as a guiding lens, we investigate organizational strategies, practices and capabilities described in the literature to navigate sustainability paradoxes in supply chains.

The results assert that the success of sustainability transformation will depend on an organizational ability to recognize, accept and navigate paradoxical tensions in one's supply chain. This requires developing the dynamic capabilities of paradoxical leadership, strategic agility, innovativeness, collaboration with contextualization and governance. Successful sustainability transformation is not reliant on finding an optimal, final design but rather the continuous balancing of tensions inherent within or across the organizations that make up one's supply chain.

The research offers an integrative conceptual framework to guide organizations in navigating sustainability paradoxes in supply chains, embracing strategic, practice and capability levels. It also outlines opportunities for future research inquiries connected to this framework that are needed to build additional insight for addressing paradoxical tensions related to the pursuit of sustainable supply chain management.

This study takes a dynamic capabilities approach to navigating paradoxical tensions in pursuit of sustainable supply chain management.

In this paper, the authors study the production and pricing decisions of a remanufacturing supply chain composed of a supplier, an assembler and a remanufacturer, in which the remanufacturing of components requires patent licensing from the supplier.

The authors consider three different models with government subsidy for remanufacturing: (1) no government subsidies; (2) the government subsidizes the remanufacturing behavior of the supplier and (3) the government subsidizes the remanufacturing behavior of the remanufacturer and use the Stackelberg game model to solve and analyze the equilibrium wholesale prices of components and the equilibrium outputs of new and remanufactured products under three subsidy modes.

The results show that the equilibrium wholesale prices of two kinds of components decrease with the unit patent licensing fee and the unit government subsidy, and the equilibrium quantity of the remanufactured products under the three modes is obviously higher than that of the new products.

Finally through numerical simulation, it is found that the equilibrium profits of the supplier, the manufacturer and the supply chain increase monotonously in relation to the unit government subsidy, while the optimal profit of the assembler in relation to the unit government subsidy tends to decrease first and then increase.

This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.

This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.

This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.

Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.

The importance of sustainable supply chain management practices (SSCMPs) in the financial performance of firms is increasing significantly. However, the influence of SSCMPs on financial performance can vary across sectors and contexts. This research aims to provide a comprehensive understanding of the influence of SSCMPs on the financial sustainability of small and medium-sized enterprises (SMEs) in the food processing industry. For this, the influence of sustainable environment practices, customer and supplier relationships, social SCMPs and lean supply chain on the financial sustainability of food processing SMEs is studied.

A questionnaire survey was conducted to collect data from 56 food processing SMEs in Mbeya, Tanzania. The study employed a cross-sectional research design and a census approach to capture data from all eligible SMEs in the target population. Exploratory factor analysis (EFA) and multiple linear regression (MLR) were utilized as the primary data analysis techniques.

The findings of the study revealed a positive and significant influence of various SSCMPs on the financial sustainability of food processing SMEs. Specifically, sustainable environment management practices (β = 0.147, p = 0.000), supplier relationship management (SRM) (β = 0.715, p = 0.001), customer relationship management (CRM) (β = 0.894, p = 0.016), social SCMP (β = 0.901, p = 0.005) and lean supply chain practices (β = 0.675, p = 0.003) were all found to have a significant effect on the financial sustainability of the surveyed food processing SMEs.

The study recommends the need to plan and integrate SSCMPs in firms’ operation processes, promote collaboration and networking and offer capacity-building initiatives that equip food processing SMEs with the necessary skills and knowledge to implement SSCMPs effectively. These will nurture effective adoption of SSCMP, leading to improved operations, environmental performance, financial sustainability and long-term viability of the sector.

While SSCMPs have gained attention in the literature, the specific focus on its impact on financial sustainability in the context of food processing SMEs adds originality to this research. Industry stakeholders and policymakers can utilize the findings of this study to develop supportive policies and programs that promote sustainable supply chain practices and enhance financial sustainability in the food processing sector.

As the demand for human–robot collaboration in manufacturing applications grows, the necessity for collision detection functions in robots becomes increasingly paramount for safety. Hence, this paper aims to improve the existing method to achieve efficient, accurate and sensitive robot collision detection.

The external torque is estimated by momentum observers based on the robot dynamics model. Because the state of the joints is more accessible to distinguish under the action of the suppression operator proposed in this paper, the mutated external torque caused by joint reversal can be accurately attenuated. Finally, time series analysis (TSA) methods can continuously generate dynamic thresholds based on external torques.

Compared with the collision detection method based only on TSA, the invalid time of the proposed method is less during joint reversal. Although the soft-collision detection accuracy of this method is lower than that of the symmetric threshold method, it is superior in terms of detection delay and has a higher hard-collision detection accuracy.

Owing to the mutated external torque caused by joint reversal, which seriously affects the stability of time series models, the collision detection method based only on TSA cannot detect continuously. The consequences are disastrous if the robot collides with people or the environment during joint reversal. After multiple experimental verifications, the proposed method still exhibits detection capabilities during joint reversal and can implement real-time collision detection. Therefore, it is suitable for various engineering applications.

This research aims to examine the effect of organisational culture on supply chain collaboration and firms’ competitive advantage in the garment industry in Vietnam.

Underpinned by the relational view and the organisational culture theories, the conceptual framework was proposed. This study obtained data from a survey of 192 managers in garment firms in Vietnam. A structural equation modelling was employed to examine the relationship between organisational culture, supply chain collaboration and competitive advantage.

There was a significant positive relationship between organisational culture in terms of group and development types and supply chain collaboration. Besides, the results revealed a significant positive relationship between supply chain collaboration and competitive advantage in terms of cost and differentiation. Furthermore, the cost competitive advantage was also found to have a significant positive effect on differentiation competitive advantage.

This study is perhaps one of the first empirical attempts to examine the relationship between organisational culture, supply chain collaboration and competitive advantage in the garment industry in Vietnam. Moreover, this study extends the application of the relational view and organisational culture theories in explaining these relationships in a new research context.

Despite a significant rise in the adoption of online stock trading applications, the research on measuring and enhancing the service experience of customers is scarce. This paper aims to put forth a credible service performance measurement tool, APPQUAL, customized for stock trading applications.

The paper is based on a multi-method research using qualitative and quantitative research. Further, structural equation modeling is used to establish constructs for measuring service performance.

APPQUAL is conceived and built to measure the service performance of stock trading applications. The APPQUAL measures service performance based on five unique dimensions – Safety Accuracy, Performance, Support and Usability associated with the perceived e-service quality of stock trading applications.

This study extends measurement scales for service quality measurement for a relatively new service of online stock trading applications. The scales are adapted as well as built with the help of an iterative process. The methodology is in line with the previous academic research, and the new scales developed can lead to further extensions to scale for different services.

The APPQUAL tool developed as part of this study can be applied to assess service performance and perceived service quality of stock trading applications, which have leap frogged in terms of adoption but have also been met with criticism on poor customer experience. This study shall add to the body of knowledge of stock trading platforms to enhance service experience by targeting the right factors and underlying items. The efficacy and application of the tool have been demonstrated in this paper by applying it to Zerodha and Upstox, the two of the biggest online stock trading applications in India.

There is no research or tool available currently which focuses on the service quality of the new-age platform application of stock trading apps. This is especially glaring due to the large-scale adoption of these applications by Indian customers.