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The problem of stress is increasingly gaining attention in the construction industry in recent years. This study is aimed at examining the causes, effects and possible alleviation of stress of project management (PM) practitioners so that their stress could be appropriately managed and reduced, which would contribute to improved mental health.

Primary data were collected in an online questionnaire survey via Qualtrics. Questions ranged from PM practitioners’ stressors, stress and performance under stress to stress alleviation tools and techniques. One hundred and five PM practitioners completed the questionnaire. Their responses were compiled and analyzed using descriptive statistics, correlation and regression.

The results confirmed that the identified stressors tended to increase stress of PM practitioners. All stressors tested in this study were found to have negative impact on the performance of PM practitioners. In particular, the burnout stressors were seen as the key stressors that influence the performance of PM practitioners and have a strong correlation with all the other stressors. It was also found that a number of tools and techniques can reduce the impact of stressors on PM practitioners.

This study has taken a specific focus on stress-related issues of PM practitioners in the construction industry due to their critical role in this project-dominated industry. Using the Job Demand-Resource theory, a holistic examination was not only conducted on stress and stressors but also on alleviation tools and techniques. This study has thus made significant contribution to the ongoing research aimed at finding solutions to mental health-related problems in the project-dominated construction industry, thereby achieving the United Nations’ social sustainability development goals.

The theme park industry has attracted wide attention and visitors’ perceptions are key to improving theme park management. Applying the cognitive-affective theory, this study aims to explore various cognitive attributes and affective attitudes and how they affect the overall theme park image.

A mixed research method was used to analyze tourists’ cognitive, affective and overall evaluations of theme parks through text mining and logistic regression and to verify their internal relationships.

Study 1 confirms the impact of six features of theme parks, including food and beverage consumption, merchandising, spatiality, immersive technologies, interactive performances and thematization. Study 2 reveals that finer-grained emotions such as goodness, sadness, disgust, surprise, fear, joy and anger are present in visitor reviews. Study 3 confirms the significant influence of cognitive characteristics and emotions related to theme parks on the overall image through regression analysis. The findings carry meaningful implications for theme park managers, offering guidance on customer needs, perceived negative attributes and how to improve visitor experiences.

This study explores the attribute characteristics of cognitive and affective images of theme parks and their influence on the overall image, thereby enriching the research on the connotations of cognitive-affective theory. In particular, this study introduces and quantitatively analyses the concept of theme parks for the first time through a large-scale data analysis, which empirically reconciles the contradictions of previous reviews of different definitions of theme parks.

主题公园评论：文本挖掘的认知特征和情感如何决定主题公园形象

摘要

主题公园行业备受关注, 而游客的看法是改进主题公园管理的关键所在。本研究运用认知-情感理论, 旨在探索游客评论的认知属性与情感态度, 以及它们如何影响主题公园的整体形象。

采用混合研究方法, 通过文本挖掘和逻辑回归分析游客对主题公园的认知、情感及总体评价, 并验证它们之间的内在关系。

研究1证实了主题公园的六个特征所产生的影响, 包括餐饮消费、商品销售、空间性、沉浸式技术、互动表演和主题化。研究2表明, 游客评价中存在更细化的情感, 如好感、悲伤、厌恶、惊讶、恐惧、喜悦和愤怒。研究3通过回归分析证实了与主题公园相关的认知和情感特征对整体形象具有显著影响。这些研究结果对主题公园管理者具有重要意义, 为了解客户需求、识别负面属性以及如何改善游客体验提供了指导。

本研究对主题公园认知和情感形象的属性特征及其对整体形象的影响进行了探索, 从而丰富了认知-情感理论内涵。特别是本研究首次通过引入大规模数据并量化分析了主题公园的概念, 从实证角度调和了以往针对主题公园不同定义的相关评论中存在的矛盾。

Reseñas de parques temáticos: cómo la minería de textos de las características cognitivas y las emociones pueden determinar la imagen del parque temático

Resumen

El sector de los parques temáticos ha atraído una gran atención y las percepciones de los visitantes son clave para mejorar su gestión. Aplicando la teoría cognitivo-afectiva, este estudio pretende explorar diversos atributos cognitivos y actitudes afectivas, y cómo afectan a la imagen global del parque temático.

Se adoptó un enfoque de investigación de métodos mixtos para analizar las evaluaciones cognitivas, afectivas y globales de los turistas sobre los parques temáticos mediante minería de textos y regresión logística, y para validar la relación intrínseca entre ellas.

El estudio 1 confirmó el impacto de seis características de los parques temáticos, como el consumo de alimentos y bebidas, el merchandising, la espacialidad, las tecnologías inmersivas, los espectáculos interactivos y la tematización. El estudio 2 reveló la presencia de emociones más sutiles en las evaluaciones de los visitantes, como la bondad, la tristeza, el asco, la sorpresa, el miedo, la alegría y la ira. El estudio 3 confirmó, mediante un análisis de regresión, que las características cognitivas y las emociones asociadas a los parques temáticos tienen un efecto significativo en la imagen global. Estas conclusiones tienen importantes implicaciones para los gestores de los parques temáticos, ya que proporcionan orientación para comprender las necesidades de los clientes, identificar los atributos negativos percibidos y saber cómo mejorar las experiencias de los visitantes.

Este estudio explora las características de los atributos de las imágenes cognitivas y afectivas de los parques temáticos y su impacto en la imagen global, enriqueciendo así la investigación sobre las connotaciones de la teoría cognitivo-afectiva. En particular, este estudio introduce y analiza cuantitativamente por primera vez el concepto de parque temático mediante un análisis de datos a gran escala, que concilia empíricamente las contradicciones que existían en revisiones anteriores de las distintas definiciones de parque temático.

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.

The current study aims to develop a 3D-printed continuous metal fiber-reinforced recycled thermoplastic composite using an in-nozzle impregnation technique.

Recycled acrylonitrile butadiene styrene (RABS) plastic was blended with virgin ABS (VABS) plastic in a ratio of 60:40 weight proportion to develop a 3D printing filament that was used as a matrix material, while post-used continuous brass wire (CBW) was used as a reinforcement. 3D printing was done by using a self-customized print head to fabricate the flexural, compression and interlaminar shear stress (ILSS) test samples to evaluate the bending, compressive and ILSS properties of the build samples and compared with VABS and RABS-B samples. Moreover, the physical properties of the samples were also analyzed.

Upon three-point bend, compression and ILSS testing, it was found that RABS-B/CBW composite 3D printed with 0.7 mm layer width exhibited a notable improvement in maximum flexural load (L_max), flexural stress at maximum load (sf_max), flex modulus (E_f) and work of fracture (WOF), compression modulus (E_c) and ILSS properties by 30.5%, 49.6%, 88.4% 13.8, 21.6% and 30.3% respectively.

Limited research has been conducted on the in-nozzle impregnation technique for 3D printing metal fiber-reinforced recycled thermoplastic composites. Adopting this method holds the potential to create durable and high-strength sustainable composites suitable for engineering applications, thereby diminishing dependence on virgin materials.

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.

The present study aims to identify the practices employed to bring heirs into family businesses as successors.

We conducted an exploratory, qualitative investigation using a case study approach. Semi-structured face-to-face interviews were conducted with external consultants and with incumbent leaders, next-generation heirs working in the firm (and likely to become successors) and employees from three family firms from different industries and under ownership and control of different generations of their respective families (first, second and third and fourth generations). In addition to surveying their general perceptions of the succession processes in their firms, each informant was asked to rate the degree of importance of 12 succession practices identified in the literature and the extent to which they exist in their respective firms.

Our results showed that heirs typically enter the family business after a development process outside of the family business, which we have termed as coming back to the nest. This process was enacted through practices that we allocated to the following categories: continued development of heirs, developing relationships in the succession process, separation of roles and attitude of the successor heirs. Overall, 8 of the 12 practices derived from the theoretical framework were endorsed as important by representatives of the family businesses and 9 were endorsed by the consultants, 7 of which coincided in both groups. However, only 5 of the practices were identified as present in the firms’ succession processes by the representatives of the family businesses, while the consultants did not identify any of the 12 practices as present.

We present additional important practices, the adoption of which would be beneficial for family business succession, such as adapting external learning to the family business, acquiring leadership skills and experience and developing emotional intelligence. Our study advances the prior literature since we do not merely discuss succession planning but analyze in an applied manner how succession actually takes place in family businesses.

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

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.