Search results

Developing severe load spectrum of transport aircraft structures is crucial for enhancing the fatigue damage correlation between full-scale fatigue testing results and operational service. The lack of consensus on severe spectrum development methods for transport aircraft has prompted the current research, resulting in a proposed approach for a severe gust load spectrum based on the acceleration cumulative exceedance surface.

The measured load data were analyzed using a model based on the cumulative exceedance number surface to describe the variation in exceedance numbers. An improved sampling method based on multivariate Markov Chain Monte Carlo was employed to obtain the fleet fatigue damage distribution, enabling the determination of the severity of severe spectrum and the corresponding cumulative exceedance number surface, and a severe gust load spectrum was developed based on the surface.

The method that characterizes load spectrum variation using the cumulative exceedance surface minimizes the randomness of peak-trough pairs by incorporating the correlation of load spectrum peaks and troughs. This approach reduces the variation in fleet fatigue damage, thereby lowering the requirements for the severity of severe spectrum fatigue damage.

The proposed methodology extends from a one-dimensional curve to a two-dimensional surface, accounting for the correlation between peak and trough values to develop a severe spectrum. This approach more accurately describes the variation in acceleration cumulative exceedance numbers, directly benefiting fatigue damage calculation. This study provides valuable references for developing severe spectrum for transport aircraft.

In large-scale environments, LIO-SAM (Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping) exhibits poor robustness due to the accumulation of errors caused by factors such as the prevalence of similar surroundings and the lack of features in certain open areas. Therefore, the purpose of this study is to optimize the loop detection module of LIO-SAM to reduce error accumulation and enhance mapping and localization performance.

Based on the LIO-SAM framework, the LinK3D (Linear Keypoints Representation for 3D LiDAR Point Cloud) feature extraction algorithm is integrated in the front end, while the BoW3D (Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM) loop detection algorithm is integrated in the back end. The features extracted by LinK3D serve as the range factors for the LiDAR, the BoW3D generates loop closure factors and these, along with inertial measurement unit (IMU) preintegration factors and global positioning system (GPS) factors, are added to the factor graph of LIO-SAM. This addition of constraints enhances the mapping and localization effects, optimizing the overall mapping and localization performance.

Based on the electrically controlled car, experiments were conducted in the experimental scenario proposed in this paper. Compared to LIO-SAM, the method presented in this paper significantly reduces cumulative errors. While ensuring real-time performance, it demonstrates superior mapping and localization effects.

This paper proposes and validates a method that integrates LinK3D, BoW3D and LIO-SAM, named LB-LIOSAM, which enhances the accuracy of feature extraction, optimizes the loop detection module of LIO-SAM and improves its mapping and localization performance in specific environmental scenarios.

Electric spring (ES) is a demand response method that can stabilize the voltage of critical loads and improve power quality, especially in a weak power grid with a high proportion of renewable energy sources. Most of existing ESs are implemented by voltage-source inverter (VSI), which has some shortcomings. For example, the DC-link capacitor limits the service life of ES, and the battery is costly and hard to recycle. Besides, conventional VSI cannot boost the voltage, which limits the application of ES in high-voltage occasions. This study aims to propose a novel scheme of ES to solve the above problems.

In this work, an ES topology based on current-source inverter (CSI) without a battery is presented, and a direct current control strategy is proposed. The operating principles, voltage regulation range and parameter design of the proposed ES are discussed in detail.

The proposed ES is applicable to various voltage levels, and the harmonics are effectively suppressed, which have been validated via the experimental results in both ideal and distorted grid conditions.

An ES topology based on battery-less CSI is proposed for the first time, which reduces the cost and prolongs the service time of ES. A novel control strategy is proposed to realize the functions of voltage regulation and harmonic suppression.

The purpose of this paper is to study draws on the resource- and knowledge based views (RBV/KBV) of the firm to explain the internationalisation speed of retail firms.

The authors use a panel data set of 144 international retailers over a ten-year period and employ feasible generalised least squares analysis in order to assess the effect of intangible assets and international experience on internationalisation speed.

The results support direct effects of intangible assets and international experience, while the latter effect is also moderated by firms’ home-region concentration.

The study investigates the determinants of retailers’ internationalisation speed. While research stresses the positive performance effects of rapid internationalisation, future research should investigate the role of internationalisation speed for the performance of retailers empirically. The findings support the usefulness of adopting a RBV/KBV for explaining internationalisation speed.

The findings imply that firms need to have particular intangible resources before being able to internationalise rapidly. They also show that decision-makers need to be mindful of the effects of international experience in allowing them to expand overseas both within and outside their home region.

There has been very little research into the speed with which firms in general and service sector firms in particular expand their operations internationally. Through a theory-based analysis of a newly created panel data set this study provides novel insights into the factors that lead retail firms to internationalise rapidly.

Although research on smart technologies explains their critical importance in sustainable business models (SBMs) (Mikalef et al., 2017), it remains unclear how organisations can embrace smart technologies to create and/or improve their sustainable business models. The purpose of this paper is to unravel and address the challenges of smart technologies to build and maintain a sustainable business model for organisations.

The research develops an empirical analysis through a case study approach. We have investigated the case of ENAV – an Italian air navigation service provider – and how this firm uses smart technologies in the creation of its successful SBM. After constructing a basic theory, the authors moved to evidence collection. The data analysis has adopted a qualitative approach based on a thematic analysis of the transcripts and related documents.

The findings from the case study support the idea that the business value and the strategic relevance of smart technologies still remain largely underestimated in SBM adoption (Mikalef et al., 2017). Case study findings suggest that until today smart technologies have played a minimal role in SBM adoption. However, the smart technologies show the potential to inform the SBM adoption process by contributing to corporate communication for external stakeholders and to the main dimensions of SBMs such as safety and security or the respect for social and environmental criteria in the supply chain.

This study seeks to support organisations and their directors to build and improve sustainable business models through smart technologies to maintain their competitive advantages. Specifically, our findings suggest that smart technologies can help organisations bridge the design–implementation gap of sustainable business models.

This research advances our understanding of the role of smart technologies by explaining how they can enhance sustainable business model adoption. Indeed, we offer a comprehensive view of the integration of insights from three different but related literature streams such as sustainability strategies, smart technologies and change management studies.

Many grant proposals requesting federal or state dollars would fare better by targeting local sources. Why? Local funding sources have more commitment to the success of a local project than do regional, state, or federal sources; fewer bureaucratic procedures/reporting requirements are involved in designing and implementing a locally funded project; and no strings are attached to its continuation once the outside funding cycle has ended.

The purpose of this study is to examine the association between audit committee expertise and asymmetric information in the US equity market.

The authors use measures of information asymmetry for 705 US firms (5,260 firm-year observations) over the period from 2007 to 2018, and use the theory of expertise (Ericsson and Smith, 1991) to examine the association between audit committee financial expertise and information asymmetry. The authors use multiple econometric approaches such as firm fixed-effect regression and two-stage ordinary least squares regression to control for possible endogeneity and reverse causality and find that the results remain the same.

The authors find that the existence of an audit committee with financial expertise is negatively and significantly associated with information asymmetry. The authors further provide empirical evidence through which audit committee financial expertise affects the firm’s informational environment. Additional analysis supports the argument that the audit committee’s financial expertise enhances the firm’s informational environment by increasing (decreasing) analyst following (dispersion).

One limitation to consider, like most studies on audit committees, is that the authors do not examine the actual role performed by the audit committee. The authors focus on the characteristics stipulated by the Sarbanes–Oxley Act 2002 and stock exchange rules regarding the financial expertise of audit committee members only.

This study is useful to policy makers, standard setters, investors, activists, managers, lenders and various stakeholders who rely on the financial statements of firms with an expert audit committee on board. The outcome of this study promotes recruiting audit committees with financial expertise due to the assumed benefits of this trait to the US firm.

The results of this study are not event-dependent and therefore have persistent effects, which is important to the evaluation of the usefulness of a regulation. This study promotes recruiting audit committees with financial expertise on boards because of the assumed benefits to the firm and investors.

This study is the first to document that financial expertise of audit committee characteristics is not only negatively related to the magnitude of information asymmetry but also driven by the financial expertise of audit committee members rather than chairs.

Most prior studies treated human resource management (HRM) strength as a whole, while neglecting the dynamic interactions between distinct components (consensus, consistency and distinctiveness). The authors lack a deep understanding of how different components operate together to influence burnout. To address these gaps, this study aims to adopt signaling theory to investigate the interactions among different components and their impacts on employee burnout.

The authors collected time-lagged data from 231 full-time employees in manufacturing firms in Suzhou, China. The authors used the PROCESS Model 6 and hierarchical multiple regression to analyze the data.

This study found that HRM system consensus and consistency mitigate employee burnout, whereas HRM distinctiveness is not significantly related to burnout. Furthermore, the authors revealed that HRM system consistency (rather than distinctiveness) mediated the relationship between consensus and burnout. Moreover, the authors found the sequential mediating effects of HRM system distinctiveness and consistency on the association between consensus and burnout.

Considering that employees’ well-being problems may be debilitating and overwhelming during the COVID-19 pandemic, it is particularly ethical and timely for managers to direct attention to the role of HRM system strength in addressing employee burnout.

This study advances the HRM system literature by teasing out the interactions between the three pivotal components of HRM strength. Our study is among the first to empirically investigate the internal relationships between the meta-features of the HRM system and employee burnout. In doing so, the authors develop a more nuanced understanding of the collective nature of a strong HRM system that conveys a shared message about HRM to promote well-being.

Human resource (HR) process research emerged as a response to questions about how (bundles of) HR practices related to organizational outcomes. The goal of HR process research is to explain variability in employee and organization outcomes by focusing on how HR practices are intended (adopted) by senior managers, the way that these HR practices are implemented and communicated by line managers, and how employees perceive, understand, and attribute these HR practices. In the first part of this chapter, we present a review of 20 years of HR process research from the start, to how it developed, and is now maturing. Within the body of HR process research, several different research theoretical streams have emerged, which are largely studied in isolation without benefiting from each other. Therefore, in the second part of this chapter, we draw on previous work to propose a staged process model in which we integrate the different research streams of HR process research, recognizing contingencies in the model. This leads us to an agenda for future research and practical implications in the final part of the chapter.

The purpose of this paper is to explore the interplay between human resource management (HRM) and emergent factors in constructing a strong HRM climate. Specifically, the paper aims to shed light on how employee perceptions of the HRM process and emergent factors together construct a strong HRM climate, i.e. employees' shared perceptions of HRM.

The paper uses qualitative interview data (managers and employees) from two organisations operating in Finland. The data are analysed based on a systematic data analysis and gives an illustration of the interplay between high-performance work system and the emergent factors.

The findings illustrate the three types of interplay between HPWS and emergent factors – supplementation, substitution and suffocation – that construct employee experience.

The paper extends earlier discussions on the relationship between HRM and employee experience by empirically examining how the HRM process – together with emergent factors – constructs a strong HRM climate. The present study contributes to further theorising and increasing our understanding of the creation of employee experience.