Search results

Hotel management and academia are increasingly interested in corporate social responsibility (CSR) and charismatic leadership. In this context, the present study examines how charismatic leaders affect employee quality of life through CSR practices in hotels.

The survey encompassed employees working at either three-star or five-star hotels in Oman. The model was tested using data gathered from 396 hotel employees.

Results showed that charismatic leadership positively affects CSR-induced intrinsic and extrinsic attributions. CSR positively affected task significance and intrinsic quality and negatively affected turnover intention. Quality of life predictors had a considerable impact, with intrinsic quality and turnover intention standing out. There was no significant effect of task significance on quality of life. The relationship between charismatic leadership and CSR was stronger for employees in five-star hotels and weaker for employees in three-star hotels. The CSR role mediates the relationship between charismatic leadership and quality of life.

The results indicate that charismatic leaders exert a substantial impact on employees’ attributions of CSR. Upper-level management must emphasize fostering the cultivation of charismatic leadership attributes among non-charismatic leaders as a means to enhance employees’ perceptions of CSR.

Few studies have focused on analyzing employees’ perceptions of CSR activities on a micro level. Investigating CSR phenomena in the context of internal stakeholders, especially employees, is very rare.

This empirical study aims to investigate how employee responses to corporate social responsibility (CSR) (i.e. perception of and participation in CSR initiatives) can affect career adaptability in the Vietnamese service industry. Furthermore, the mediating mechanism of psychological capital (PsyCap) and the moderating role of moral identity are explored in this relationship.

The target population for this study includes employees working for service enterprises in which CSR practices are conducted, such as tourism, hospitality, retail, education and others in Vietnam. The data from 685 responses were analyzed for measurement model analysis and structural model analysis using SPSS, AMOS and SmartPLS.

The findings of this study reveal that CSR perception and CSR participation have significant positive effects on career adaptability through PsyCap. This study also confirms that the positive association between CSR perception and PsyCap is more pronounced among employees with a higher level of internalized moral identity and symbolic moral identity.

The collection of data involving multiple dimensions at once did not allow the study to accurately assess the effect of variables over time. Further studies that want to look closely at the impact of perception of and participation in CSR should collect data longitudinally and follow up the target sample over a period of time. Besides, moral identity is a context-dependent construct associated with various social and cultural institutions. Meanwhile, Western moral identity emphasizes individual-oriented morality; Eastern cultures consider a socially oriented person to be highly moral; therefore, this study’s findings might not be appropriate for Western culture. To enrich the existing CSR framework, future studies may attempt to unveil the intervening mechanism of other psychological factors, such as psychological safety, or explore the predictions for other career-related outcomes, such as career satisfaction in the CSR context. Finally, both CB-SEM and PLS-SEM methods can be combined to analyze complex models, especially high-order models.

By leveraging influence processes within the model, service managers can foster human resource development in the workplace by raising the active involvement of employees in CSR activities.

This research enriches the literature on CSR and employee-related outcomes by formulating a conceptual model focusing on employee responses to CSR as key antecedents. This study also contributes to the existing understanding of the CSR context by empirically investigating micro-level CSR in an emerging economy like Vietnam.

Reinforced autoclaved aerated concrete (RAAC) panels have been extensively used in the UK since the 1960s as structural roofs, floors and walls. The lack of a longitudinal, objective, consistent defect data capture process has led to inaccurate, invalid and incomplete RAAC data, which limits the ability to survey RAAC within buildings and monitor performance. Therefore, an accurate, complete and valid digital data capture process is needed to facilitate better RAAC performance and defect monitoring. This paper presents the development of an artificial intelligence (AI)-driven RAAC crack defect capture tool for improving the quality of RAAC survey data.

RAAC crack defect image data were collected, curated and trained. A deep learning approach was employed to train RAAC surveyed defects (cracks) images from two hospitals. This approach mitigated unavoidable occlusions/obstructions and unintended “foreign” objects and textures.

An automatic RAAC crack identification tool has been developed to be integrated into RAAC survey processes via an executable code. The executable code categorises RAAC survey images into “crack” or “non-crack” and can provide longitudinal graphical evidence of changes in the RAAC over time.

This paper identifies the role of AI in addressing the intrinsic defects data capture issues for RAAC and extends current debates on data-driven solutions for defect capture and monitoring.

This study investigates the growing global interest in organic food by examining the relationship between consumer spending patterns and the variety of organic product categories within shopping baskets. Expanding on prior research on intrinsic motivations for choosing organic products, this paper introduces differences between consumers based on their spending levels and the quantity and type – fresh vs processed – of organic products they purchase.

A descriptive analysis was conducted using data from an online panel survey in Spain, targeting regular consumers of ecological products. A total of 627 respondents were surveyed (e = 4%, N.C. = 95%; p = q = 0.5). Consumers were segmented based on the quantity of organic product categories in their baskets. The data were analysed using cross-tabulation, t-tests, and one-way ANOVA to identify significant differences in spending and product variety.

The study identified significant differences in spending patterns and in the variety of organic products purchased between the eco-consumer segments – essential, mindful and super – characterised by the variety of product categories in their shopping baskets. These findings align with global trends in eco-friendly consumption, providing a nuanced understanding of consumer behaviour in the organic food market.

To our knowledge, this study is the first to explore the impact of the variety of organic product categories within a shopping basket as a segmentation factor. The research contributes a novel perspective to the literature on organic food consumption by highlighting how the count and type of products influence consumer segmentation and spending behaviour.

Aluminum foam-filled thin-walled unit structures have received much attention for their excellent energy absorption properties. To improve the energy absorption effect of car energy absorption box under axial compression, this paper optimizes the fiber lay-up sequence, fiber angle and aluminum foam density of aluminum foam filled carbon fiber reinforced plastic (CFRP) thin-walled square tubes.

Design of sample points required to construct the proxy model using design of experiments (DOE) method, and the data sample points of different models are obtained through Abaqus simulation and test. A double high-precision proxy model with the maximum specific energy absorption (SEA) and the minimum initial peak crash force (PCF) as the evaluation index is constructed based on the response surface function method. The NSGA-II multi-objective genetic algorithm was used to optimize the design parameters and obtain the optimal solution for the Pareto front, and the results were verified by using the multi-objective optimization toolbox in design-expert.

The results show that the optimal solution to the multi-objective optimization problem with the inclusion of the lay-up sequence is ρ = 0.5g/cm3 for a fiber lay-up angle varying in the range ±15–90° and an aluminum foam density varying in the range 0.2g/cm3-0.5g/cm3, with a lay-up method of [±87°/±16°/±15°/±89°]. The two optimization methods correspond to SEA and PCF errors of 2.109% and 4.1828%, respectively. The optimized SEA value is 18.2 J/g and the PCF value is 18,230 N. The optimized design reduces the peak impact force and increases the specific energy absorption, which improves the energy absorption effect of thin-walled energy-absorbing boxes for automobiles.

In this paper, the impact resistance of CFRP thin-walled square tubes filled with aluminum foam is optimized. Based on numerical simulations and experiments to obtain the sample point data for constructing the dual-agent model, we investigate the effect of filling with different densities of aluminum foam under the simultaneous change of fiber lay-up angle and order on its mechanical properties in this process, and carry out the multi-objective optimization design with NSGA-II algorithm.

Although the targets of envy have received increasing attention in management research, how envied employees respond to envy remains ambiguous and merits further investigation. Drawing upon regulatory focus theory, this paper aims to reconcile these inconsistent findings by developing and testing a model that elucidates how different types of being envied (i.e. benignly or maliciously) can elicit either favorable or unfavorable motivational and behavioral reactions.

An experience sampling study was conducted on 131 employees across 10 consecutive workdays in China. Focusing on within-person effects, multilevel mediation models using multilevel structural equation modeling were applied.

Results indicated that on days when employees are benignly envied, they engage in more organizational citizenship behavior (OCB) due to increased daily promotion focus. On the contrary, on days when employees are maliciously envied, they participate in more counterproductive work behavior (CWB) due to decreased daily promotion focus.

Organizations and managers should take a more holistic view of workplace envy when considering that envied employees may use OCB to deal with benign envy. Conversely, considering that CWB may emerge from employees who are maliciously envied, it is crucial for managers to be vigilant in discouraging and addressing malicious envy in the workplace.

This paper takes an initial foray into incorporating the concepts of benign envy and malicious envy into the literature on being envied and provides a novel perspective to explain why being envied can lead to both functional and dysfunctional responses.

This study aims to provide a timely review of hospitality and tourism live streaming (HTLS) research, aiming to understand the intellectual foundation in the past and identify opportunities for future research.

This study collected 56 papers from journals in the Social Science Citation Index database or the Australian Business Deans Council journal quality list and adopted a hybrid systematic literature review combining bibliometric analysis and the theory-context-characteristics-method framework-based approach. Additionally, a cross-tabulation analysis was conducted to compare the research on two specific forms of HTLS – tourism e-commerce live streaming (TEcLS) and travel live streaming.

The study found that the current research lacks in-depth theoretical insights, focuses on China as the national context and viewers as the research subject, mainly uses online surveys and lacks first-order knowledge. Moreover, it identified five research themes, including the impact of HTLS on viewer behavior, purchase behavior in HTLS and introduction of HTLS, within which eight categories of research constructs, such as viewer-related, streamer-related and relationship-related, are applied.

In terms of research, the study reveals various gaps in the existing literature and provides potential research directions to advance the field. As for practice, it offers valuable strategies for practitioners to optimize their marketing efforts using HTLS.

This study provides an up-to-date review of the HTLS field through a systematic and reproducible method. It offers critical discussions and suggestions for academic research and industry practices.

This study aims to integrate perspectives of transaction costs and capabilities to investigate how the configurational fit between outsourcing strategies, asset specificity of projects and the capabilities of general contractors could achieve high outsourcing performance.

Employing fuzzy-set qualitative comparative analysis, this study analyzes 31 outsourcing cases in construction projects to examine outsourcing performance under different combinations of transaction costs and capabilities.

The findings highlight six different but functionally equivalent configurations to high outsourcing performance, which vary according to attributes of projects and capabilities of contractors. Further, this study develops four context-dependent paths that link outsourcing strategies to high outsourcing performance: leading practitioner, collaborative manager, partnership dependent, and struggler.

How do contractors in construction projects navigate outsourcing practices to high performance? This study provides a configurational perspective to make outsourcing strategy decisions. Based on the firm’s capabilities and project asset specificity, contractors are encouraged to select from six different but functionally equivalent combinations and thereby four outsourcing strategies, namely leading practitioner, collaborative manager, partnership dependent, and struggler, to achieve high outsourcing performance.

This study contributes to the body of knowledge by offering a holistic perspective that integrates production and transaction costs to analyze contractors’ outsourcing strategies, contributing to the integration of the transaction cost perspective and capability perspective.

This study aims to introduce a method for predicting the remaining useful life (RUL) of bearings based on parallel feature extraction. The proposed model provides prior knowledge and removes redundant handcrafted feature information, additionally, which focuses on the important features at different time scales.

Distinct from traditional parallel feature extraction methods, which can lead to information redundancy, a one-dimensional convolutional autoencoder is introduced to process selected indicators to remove redundancy and retain useful feature information. To fully capture the important degradation information within different stages in the feature sequences, a novel multi-scale attention feature fusion module is proposed to extract degradation features at different time scales. Considering the impact of degradation modes on RUL prediction, a dual-task prediction module based on no degradation mode labels is designed to obtain accurate RUL.

Comparative experiments and ablation studies on the PHM2012 bearing dataset verified the effectiveness of the proposed method. Furthermore, the rationality of the selected parameters is confirmed through model parameter analysis.

The novelty of the proposed method is that it not only provides prior knowledge but also further removes redundant information from prior knowledge. In addition, the distribution differences between the original features and their multi-scale convolution results are measured through Kullback–Leibler divergence as the attention scores, which allows the proposed method to focus on important information at different time scales.

This paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.

This paper applies canonical correlation analysis based on digital technology patents in the key links of manufacturing industries (product design, procurement, product manufacturing, warehousing and transportation, and wholesale and retail) and the related indicators of economic benefits of regions in China.

(1) The degree of digitalization of manufacturing process links is significantly correlated with economic benefits. (2) The improvement of the degree of digitalization in the “product design” link, the “warehousing and transportation” link, the “product manufacturing” link and the “wholesale and retail” link has significant impacts on the economic benefits of manufacturing industry. (3) The digital degree of the “procurement” link has no obvious influence on the economic benefits of manufacturing industry.

The research results can provide reference for the formulation and implementation of micro policies. The strategy of improving the level of digital transformation of key links of manufacturing industry is put forward to better promote both the digital transformation of manufacturing industry and economic development.

This paper innovatively studies the relationship between digitalization of manufacturing process links and economic benefits. The findings can provide theoretical and empirical support for the digital transformation of China's manufacturing industry and high-quality development of economy.