Kunyu Wei, Bowen Li and Xiaofan He
Developing severe load spectrum of transport aircraft structures is crucial for enhancing the fatigue damage correlation between full-scale fatigue testing results and operational…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Bowen Li, Xiaoci Huang, Jiaming Cai and Fang Ma
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Dina El Mahdy, Jia Hao and Yu Cong
The purpose of this study is to examine the association between audit committee expertise and asymmetric information in the US equity market.
Abstract
Purpose
The purpose of this study is to examine the association between audit committee expertise and asymmetric information in the US equity market.
Design/methodology/approach
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.
Findings
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).
Research limitations/implications
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.
Practical implications
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.
Social implications
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.
Originality/value
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.
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Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains…
Abstract
Purpose
Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains unclear. Grounded in Herzberg’s motivation theory and complexity theory, this study aims to explore configurational paths whereby combinations of qualities lead to success for different types of AI-themed hotels.
Design/methodology/approach
This study innovatively blends topic modeling and fuzzy-set qualitative comparative analysis (fsQCA) to investigate configurational paths whereby combined qualities produce positive guest evaluations of 12 AI-themed hotels as evidenced by 7,431 customer reviews.
Findings
The results indicate that AI could serve as a “theme” to attract customers under certain circumstances. First, “attractive” and “must-be” qualities are first identified for different types of AI-themed hotels. Furthermore, 6, 15 and 15 configurational paths inspiring favorable guest evaluations of luxury-independent, budget-independent and chain AI-themed hotels, respectively. Technology-related qualities are found to be especially attractive for luxury-independent AI-themed hotels, whereas the role of technology is minimal for budget AI-themed hotels. The impact of technology is salient for chain AI-themed hotels when combined with other factors. In addition, the effect of price differs among the configurational paths for the three hotel types.
Research limitations/implications
This study expands the understanding of AI applications within the hospitality context by exploring the role of AI in AI-themed hotels and comparing its effectiveness in attracting customers across various hotel types. It also provides operational strategies for adopting AI for different types of hotels and for other hospitality and tourism sectors.
Originality/value
This study represents an early attempt to integrate topic modeling and fsQCA to clarify customers’ perceptions of AI-themed hotels and the combined impacts of various qualities. The findings expand on Kano’s model by classifying technology-related qualities into attractive qualities within AI-themed hotels.
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What shapes entrepreneurs’ intention to allocate entrepreneurial effort towards different types of entrepreneurial start-ups? Grounded in a “national business systems” approach…
Abstract
Purpose
What shapes entrepreneurs’ intention to allocate entrepreneurial effort towards different types of entrepreneurial start-ups? Grounded in a “national business systems” approach, the purpose of this paper is to examine the impacts of institutional dimensions on Schumpeterian and Kirznerian entrepreneurship.
Design/methodology/approach
Drawing upon a global context comprising 82 countries over the period between 2007 and 2018, this research applies a dynamic panel modelling approach, namely, the dynamic panel generalised method of moments estimator. This estimator allows to account for unobserved country-specific heterogeneity and to address endogeneity constraints that might occur between institutions and entrepreneurship.
Findings
The findings reveal that there are positive relationships between financial capital and both Schumpeterian and Kirznerian entrepreneurship. Educational capital positively affects the allocation of entrepreneurial efforts towards opportunity-based entrepreneurial activities. Moreover, institutional regulatory conditions could hinder the allocation of entrepreneurs’ resources into a Schumpeterian while facilitating the allocation of resources into a Kirznerian type of venture. Finally, a higher level of corruption promotes innovative entrepreneurial activities (i.e. a Schumpeterian type of venture) and leads to constraints on Kirznerian entrepreneurship.
Practical implications
The research findings demonstrate the significance of the macro environment for enacting and implementing policies to reap the benefits of different types of start-ups. It suggests different political actions are needed to motivate highly qualified individuals to engage in Schumpeterian and Kirznerian entrepreneurship, rather than focusing purely on enhancing a country’s overall start-up rates.
Originality/value
By acknowledging the multidimensional nature of entrepreneurship, this research provides greater theoretical exposition and empirical support for the role played by macro-level institutions in determining types of entrepreneurship. It reveals the important role played by macro institutional conditions in influencing choices about different types of start-ups and gives rise to the multidimensional nature of entrepreneurship.
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Lucyann Chikaodinaka Akunna, Uche Abamba Osakede and Olayinka Omolara Adenikinju
The purpose of this paper is to examine the effect of unemployment during the COVID-19 pandemic on mental health, quality of life and the labour market outcome across North and…
Abstract
Purpose
The purpose of this paper is to examine the effect of unemployment during the COVID-19 pandemic on mental health, quality of life and the labour market outcome across North and Southern Nigeria.
Design/methodology/approach
Data was obtained from staff laid off in selected tertiary institutions in North East and South West Nigeria using a self-administered questionnaire with a total sample size of 185. Findings are shown using the heteroscedastic linear regression and descriptive statistics.
Findings
The results showed a significant negative effect of unemployment during the pandemic on mental health and quality of life. Less than half of those laid off are reabsorbed into the labour market with the majority in the South than the Northern region and most are in self-employment.
Practical implications
The coronavirus pandemic negatively affected the human race, with a huge socio-economic impact linked to health and well-being. This reality calls for attention to the role it played on mental health and the quality of life as well as how it has influenced the labour market. Labour empowerment during a pandemic is key to cushion the effect of pandemics on health and the labour market. This can be in the form of skill empowerment and increased access to funds for business start-ups to enable self-employment that typifies the labour market after a pandemic. This in turn will reduce mental health challenges and low quality of life associated with pandemics.
Originality/value
To the best of the authors’ knowledge, this research is the first in the literature that provides empirical evidence of the effect of unemployment during the pandemic on well-being captured using mental health and the quality of life in Nigeria. Findings on labour market outcomes due to the pandemic and across regions in Nigeria are also scarce in the literature.
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Elizabeth A. Whalen, John T. Bowen and Seyhmus Baloglu
This research explores differences in consumer behavior across generational cohorts, particularly focusing on customer loyalty. With Millennials becoming the largest generational…
Abstract
Purpose
This research explores differences in consumer behavior across generational cohorts, particularly focusing on customer loyalty. With Millennials becoming the largest generational cohort, it is crucial to understand loyalty variations, given that many loyalty programs were established during the Baby Boomer era. This study investigates two vital aspects for hotel companies aiming to enhance guest loyalty: antecedents to loyalty and loyalty program design.
Design/methodology/approach
In part 1, a loyalty model was tested using corporate social responsibility (CSR), personalization, brand identity, and trust as antecedents for customer loyalty in full-service hotels. The study developed models for the overall sample and each generational cohort. Part 2 explored generational preferences regarding commonly offered hotel loyalty program benefits.
Findings
The study revealed no significant differences across generational cohorts in the loyalty model. Antecedents had similar effects on loyalty creation across all three cohorts. In part 2, the four most desired benefits for all generations were upgrades, customized service, late check-out, and empathetic employees.
Practical implications
This research supports Millennials' loyalty to hotels and highlights the importance of benefits that offer immediate advantages during a stay, such as upgrades, late check-out, empathetic employees, and personalization. These findings emphasize the need for loyalty program designs that provide faster rewards and personalization options.
Originality/value
This study pioneers the examination of hotel customer loyalty models across three generations and evaluates loyalty benefits across these cohorts. The results hold significance for researchers and practitioners in the field.
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Elia Rigamonti, Benedetta Colaiacovo, Luca Gastaldi and Mariano Corso
This paper analyzes employees’ perceptions of data collection processes for human resource analytics (HRA). More specifically, we study the effect that information sharing…
Abstract
Purpose
This paper analyzes employees’ perceptions of data collection processes for human resource analytics (HRA). More specifically, we study the effect that information sharing practices have on employees’ attributions (i.e. benevolent vs malevolent) through the perceived legitimacy of data collection and monitoring processes. Moreover, we investigate whether employees’ emotional reaction (i.e. fear of datafication) depends on their perceived legitimacy and attributions.
Design/methodology/approach
The research is based on a sample of 259 employees operating for an Italian consulting firm that developed and implemented HRA processes in the last 3 years. The hypothesized model has been tested using structural equation modeling (SEM) on Stata 14.
Findings
This paper demonstrates the mediating role of perceived legitimacy in the relationship between information sharing practices and employees’ benevolent and malevolent attributions about data collection and monitoring processes for HRA practices. Results also reveal that perceived legitimacy predicts employees’ fear of datafication, with benevolent attributions that partially mediate this relationship.
Practical implications
This research indicates that employees perceive, try to make sense of and emotionally react to HRA processes. Moreover, we reveal the crucial role of information sharing practices and perceived legitimacy in determining employees’ attributions and emotional reactions to data collection and monitoring processes.
Originality/value
Combining human resource (HR) attributions, HR system strength, information processing and signaling theories, this work explores employees’ perception, attributive processes and emotional reactions to data collection processes for HRA practices.
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Lin Xiao, Xiaofeng Li and Jian Mou
Short-form video advertisements have recently gained popularity and are widely used. However, creating attractive short video advertisements remains a challenge for sellers. Based…
Abstract
Purpose
Short-form video advertisements have recently gained popularity and are widely used. However, creating attractive short video advertisements remains a challenge for sellers. Based on the visual-audio perspective and signaling theory, this study investigated the impacts of three visual features (number of shots, pixel-level image complexity and vertical versus horizontal formats) and two audio features (speech rate and average spectral centroid) on user engagement behavior.
Design/methodology/approach
We conducted a field study on TikTok. To test our various hypotheses, we used regression analysis on 2,511 videos containing product promotion information posted by 60 sellers between January 1, 2020 and November 20, 2021.
Findings
For visual variables, the number of shots and pixel-level image complexity were found to have nonlinear (inverted U-shaped) relationships with user engagement behavior. The vertical video form was found to have a positive effect on comments and shares. In the case of audio variables, speech rate was found to have a significant positive effect on shares but not on likes and comments. The average spectral centroid was found to have significant negative influences on likes and comments.
Practical implications
This study provides specific suggestions for sellers who create short-form videos to improve user engagement behavior.
Originality/value
This study contributes to the literature on short-form video advertising by extending the potential drivers of user engagement behavior. Additionally, from a methodological perspective, it contributes to the literature by using computer vision and speech-processing techniques to analyze user behavior in a video-related context, effectively overcoming the limitations of the widely adopted survey method.
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Fan Yang, Yifan Fei, Lin Guo, Xiuxiu Bai and Xiaodong Li
Young construction project management practitioners (CPMPs) have unique, complex, and notable occupational mental health problems. However, there were few studies about the…
Abstract
Purpose
Young construction project management practitioners (CPMPs) have unique, complex, and notable occupational mental health problems. However, there were few studies about the intervention for occupational mental health of CPMPs, and traditional intervention modes often failed to achieve significant effects. Therefore, this study aims to propose a new and effective intervention method.
Design/methodology/approach
Job crafting intervention was used to design an intervention experiment. A total of 72 CPMPs participated in a 10-week randomized controlled trial in China. Descriptive statistics and repeated measures analysis of variance were used to verify the effectiveness of job crafting intervention (JCI) on job crafting behaviors, job burnout, and work engagement with consideration of the impact of time.
Findings
Results showed that the intervention increased social resources, thus effectively reducing job burnout and promoting work engagement. Time also had a significant impact on cynicism, dedication, and social resources.
Practical implications
The authors should promote the habit of job crafting in CPMPs. Furthermore, in order to facilitate their job crafting, the authors should increase structural and social resources for them, and the authors can also encourage them to undertake challenging demands to increase their self-efficacy and the sense of achievement.
Originality/value
The authors bring into light a new psychological intervention approach among CPMPs, which integrates the advantages of the guidance in traditional organized intervention methods and the proactivity in individual spontaneous job crafting. The authors verify the efficacy of the JCI among CPMPs and help propose countermeasures and suggestions to improve the occupational mental health of CPMPs.