Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach

Health-driven mechanism of organic food consumption: A structural equation modelling approach

The COVID-19 pandemic seriously threatened human survival and development. It has also highlighted the significant correlation between ecological and public health. After three years of the COVID pandemic, Chinese consumers have become more aware of the importance of health. Especially in the Internet era, consumers' purchasing methods and health awareness have been changed. Consumers can buy nutritious and organic foods. To understand the impact of consumer psychology and health beliefs on the willingness to purchase organic food in the post-pandemic period, this study uses organic beef as an example and extracts key variables from three basic theories. The three basic theories include the Health Belief Model (HBM), the Theory of Planned Behavior (TPB), and the Norm Activation Model (NAM), respectively. Specifically, perceived susceptibility and severity are combined to form a health belief variable that can drive organic food purchasing. In contrast, perceived benefit, moral norms, self-efficiency, and controllability are introduced as mediating variables to construct the health driving factors of organic beef purchasing. Structural equation modeling (SEM) and mediation effect tests are used to analyse 539 samples. Meanwhile, paths and mechanisms between health concern and other variables are explored. The results show that health concern is an important driving factor. Health concern can significantly promote the formation of willingness to purchase organic beef. Mediation effect tests suggest that health concern can indirectly affect the willingness to purchase organic beef through perceived benefit, moral norms, and controllability, but the mediation effect of self-efficiency is not significant. This study provides important references for government regulation and certification of organic foods as well as for enterprises'organic food marketing strategies.

Rolling bearing fault diagnosis based on RQA with STD and WOA-SVM

A rolling bearing fault diagnosis method based on Recursive Quantitative Analysis (RQA) combined with time domain feature extraction and Whale Optimization Algorithm Support Vector Machine (WOA-SVM) is proposed. Firstly, the recurrence graph of the vibration signal is drawn, and the nonlinear feature parameters in the recurrence graph combined with Standard Deviation (STD) are extracted by recursive quantitative analysis method to generate feature vectors; after that, in order to construct the optimal support vector machine model, the Whale Optimization Algorithm is used to optimize the c and g parameters. Finally, both Recursive Quantitative Analysis and standard deviation are combined with the WOA-SVM model to perform fault diagnosis of rolling bearings. The rolling bearing datasets from Case Western Reserve University and Jiangnan University were used for example analysis, and the fault identification accuracy reached 100% and 95.00%, respectively. Compared to other methods, the method proposed in this paper has higher diagnostic accuracy and wide practical applicability, and the risk of accidents can be reduced through accurate fault diagnosis, which is also important for safety and environmental policies. This research originated in the field of mechanical fault diagnosis to solve the problem of fault diagnosis of rolling bearings in industrial production, it builds on previous research and explores new methods and techniques to fill some gaps in the field of mechanical fault diagnosis.

Assessing the mediating role of motivation in the relationship between perceived management support and perceived job satisfaction among family doctors in Jiangsu province, China

BACKGROUND

The study aimed to examine the influence of perceived management support on job satisfaction through the mediating role of motivation among family doctors in the Jiangsu province of China.

METHODS

Six dimensions of motivation were employed as mediators in the association between perceived management support and job satisfaction in collecting data to analyze the hypothesized relationships in the present study. A total of 600 questionnaires were distributed to family doctors in Jiangsu province. Structural equation model (SEM) in the analysis of a moment structure (AMOS) version 26 software was used to estimate the path coefficients.

RESULTS

Perceived management support has a significant positive relationship with job satisfaction. Motivation had a fully mediated relationship with the association between perceived management support and job satisfaction.

CONCLUSIONS

The study's findings suggest motivation is important in enhancing family doctors' satisfaction and must not be underestimated. It, therefore, offers diverse recommendations for enhancing motivation among healthcare professionals.

Relationship between Green Leaders' Emotional Intelligence and Employees' Green Behavior: A PLS-SEM Approach

The green leadership (GL) concept has significantly gained popularity over the last decade. Consequently, more research has been conducted on this emerging leadership concept, emphasizing leadership styles that promote the green environment so that sustainable goals can be achieved. In the present research, leaders' emotional intelligence (EI) is positioned as a mediating variable between GL and employees' green organizational citizenship behavior (GOCB). The data of this research comprised managerial and non-managerial staff from the manufacturing and service industries. A PLS-SEM was used to evaluate the relationship between the various factors among 422 employees. The empirical findings indicated that GL and GOCB had a favorable and robust relationship. The results of the study also suggested that a leader's EI mediates the influence of green leadership on their employees' green organizational citizenship behavior. Green leadership is essential in creating sustainable environmental behaviors among employees. It can strengthen leaders' EI, which successively helps them to garner positivity and foster an environment of mutual harmony and cooperation in the workplace to support pro-environmental policies. Overall, our study contributes to and advances previous studies and shows that green leadership plays a critical role in influencing a leader's own EI which, in turn, predicts the green OCB of their employees in the workplace.

Characteristics and Causes of Construction Accidents in a Large-Scale Development Project

The airport at the Kai Tak district was relocated to Chek Lap Kok in 1998. The Hong Kong Government endeavors to redevelop Kai Tak into a mixed-use community. A total of eight fatal construction accidents have happened since the Kai Tak Development (KTD) commenced in 2013, and seven of them occurred between 2020 and 2021. The alarming figures call for an in-depth investigation of fatal accidents, hence the aim of the current research. Detailed accident investigation reports that outlined accident causation and preventive measures for the eight accidents were collected. With a detailed examination of validity and reliability, the modified loss causation model was applied to analyze the situational variables, incident sequences, and causes of accidents. The results showed that “fall” and “struck by” were the most common accidents in the KTD. Several risk factors for fatal accidents were identified, including “aging workers”, “new to a construction site”, “ethnic minority”, “illegal worker”, “working on weekends”, and “subcontracting companies”. Preventive measures were offered to help government authorities and construction practitioners enhance the safety performance of the ongoing KTD projects. This study contributes to the knowledge of construction safety by identifying safety issues of mega interfacing projects. The practice of learning from accidents should be promoted in order to prevent similar accidents from occurring again.

Tourist Satisfaction, Willingness to Revisit and Recommend, and Mountain Kangyang Tourism Spots Sustainability: A Structural Equation Modelling Approach

The rapid development of society and economy has imposed insurmountable pressure on the urban population, and many people suffer from sub-health conditions. Kangyang tourism (KT), which combines the concepts of health preservation, ecological resources, and tourism activities, has developed rapidly in China since the concept was first introduced. Although previous studies have examined the relationship among experience, satisfaction, and intention, there is a lack of study of experience value’s impact on Mountain Kangyang Tourim Spots’ Sustainability, that is, willingness to revisit and recommend to other potential tourists. Consequently, an “experience value (functional value, contextual value, emotional value, cognitive value, economic value), satisfaction and post-trip willingness to revisit and recommend” framework is suggested to examine mountain Kangyang tourism (MKT). Data were collected from 500 tourists after visiting five well-known MKT destinations in Panzhihua city. Using the structural equation modeling (SEM) technique, the results suggest that tourist satisfaction plays an important role in experience value as well as willingness to revisit and recommend the MKT spots after their revisits. Our research offers some practical suggestions for MKT destination operators when they design and provide MKT destinations. The results would be useful for governments and non-profit organizations which attempt to promote MKT.

Effect of job situational factors on work outcomes of facilities managers

Purpose

This study aims to investigate how the situational factors that facilities managers (FMs) in Singapore face in their jobs affect their work outcomes. Job situation factors such as types of tasks, interpersonal relationships in teams, supervisors’ actions and advancements opportunities are classified into job characteristics, social environment characteristics, leadership and organisational practices categories.

Design/methodology/approach

Based on a systematic literature review, a questionnaire was designed to collect data on work outcomes and job situational factors from FMs working in public housing estates in Singapore. Using the Statistical Package for the Social Science software, inferential statistical analyses were carried out.

Findings

FMs reported that they used economical means and resources to carry out their work significantly frequently and achieved significantly high productivity. Complaints are received significantly frequently and maintenance defects are regularly encountered. Many of the job situational factors are present and found to be significantly correlated with work outcomes and some of these may be used to predict FMs’ work outcomes. Based on the correlation results, the frequency of complaints from residents may be reduced through the following ways: make FMs’ work tasks less challenging; reduce the variety of work tasks that FMs need to execute; reduce FMs’ work volume and speed of work.

Research limitations/implications

This study is limited to FMs managing public housing estates in Singapore. The work outcomes are self-reported, and thus susceptible to bias. However, as the respondents reported significantly frequent complaints and defects, this might indicate that the bias is not serious.

Practical implications

FMs’ jobs should be broken down into small parts/tasks and assigned to different FMs to specialise. This makes FMs’ tasks less challenging, and allows them to specialise to increase their productivity, improve their quality of work and overcome the problem of high work volume or demanding work speed. By adopting job specialisation, the frequency of receiving complaints from residents may be reduced.

Originality/value

This study discovered strategies to reduce the number of complaints from residents of public housing about facilities management. The contribution to knowledge is that complaints by residents on facilities management can be reduced by adopting job specialisation but not job enlargement. Decomposing work into different tasks and allowing FMs to focus on a few tasks would lead to a reduction in complaints. It also enables FMs to master the skill and complete the tasks without much oversight or supervision.

The impact of servant leadership and perceived organisational and supervisor support on job burnout and work–life balance in the era of teleworking and COVID-19

Purpose

Drawing on organisational support theory, this paper aims to investigate the relationships between servant leadership and (1) job burnout and (2) work–life balance, as mediated by perceived organisational support (POS) and perceived supervisor support (PSS), for both teleworkers and non-teleworkers. It is postulated that, under the influence of a servant leader, as well as a supportive workplace and supervisor, teleworkers and non-teleworkers will demonstrate reduced symptoms of job burnout and maintain a better balance between their professional and personal lives.

Design/methodology/approach

An online survey was developed based on well-established scales. Primary data were collected from individuals working in 22 industrial sectors operating in Greece. In total, 211 individuals participated in this study, of whom 64 were teleworkers and 147 were non-teleworkers. Statistical analyses include Pearson's correlations, exploratory factor analyses and mediation analyses using SPSS Process Version 3.

Findings

The findings established that POS is the full mediator in the relationship between servant leadership and (1) job burnout and (2) work–life balance for both teleworkers and non-teleworkers, whereas PSS was not found to act as a mediator in the aforementioned associations.

Originality/value

This article offers robust evidence for servant leadership and organisational support scholarship by establishing that POS mediates the relationship between servant leadership and (1) job burnout and (2) work–life balance amidst COVID-19 for both teleworkers and non-teleworkers. This evidence contributes to understanding how and why servant leadership influences employee well-being not only in traditional working environments but also in the context of teleworking.

Agroforestry Practices in Livelihood Improvement in the Eastern Cape Province of South Africa

Agroforestry plays a significant role in increasing agricultural productivity. In South Africa, there is a pressing need for promoting smallholder agriculture to promote sustainable rural livelihoods, to ensure food security, to lower inflation in food prices, and address rampant rural unemployment in the country. The agricultural economy is characterised by a monopoly structure where almost every single staple in South Africa is already produced by large manufacturers that can produce it at better quality and lower cost than the average smallholder enterprise or cooperative. Such a monopoly structure fundamentally undermines the development of local markets, where local small-scale producers sell to their local community. The novelty of this study is addressing the research gap that conventional rural livelihood analyses often neglect, i.e., the role of environmental products in general, and forest and agroforestry products. Using a log linear regression model with cross-sectional data collected from a sample of 300 households, this study explores the likely impact of agroforestry practices in promoting the livelihood of rural communities in the study areas. Results obtained from multiple linear regression analysis showed that average household income increased as a function of utilization of agroforestry practices. Agroforestry contributes to sustainable rural livelihoods in South African provinces where the predominant means of livelihoods is rural subsistence farming and agriculture. Since valuation of agroforestry products and services are technically difficult, farmers often underestimate the contribution of agroforestry to the household’s livelihood income. These findings have policy implications in promoting food security in the Eastern Cape Province of South Africa and beyond.

Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks

Peer-to-peer tourism is one of the great global trends that is transforming the tourism sector, introducing several changes in many aspects of tourism, such as the way of travelling, staying or living the experience in the destination. This research aims to determine the relationship between the sociodemographic characteristics of tourists interested in peer-to-peer accommodation and the importance they give to various motivational factors about this type of tourism in a “cultural-tourism” city. The methodology used in this research is an artificial neural network of the multilayer perceptron type to estimate a sociodemographic profile of the peer-to-peer accommodation tourist user based on predetermined input values consisting of the answers to the Likert-type questions previously carried out using a questionnaire. Thus, the model developed, through a customized set of answers to these questions, allows the presentation of a “composite picture” of a peer-to-peer tourist based on sociodemographic characteristics. This function is especially interesting for adapting the peer-to-peer hosting offer according to the preferences of potential users.

Does Employee Quality Affect Corporate Social Responsibility? Evidence from China

This paper investigated the impact of employee quality on corporate social responsibility (CSR). Based on data from China A-share-listed companies for the years 2012–2016 and using ordinary least squares, our empirical results show that the educational level of the workforce, as a proxy for employee quality, is positively associated with CSR, which suggests that higher education can promote CSR implementation. Additional analyses found that this positive relationship is more pronounced in non-state-owned enterprises, enterprises in regions with lower marketisation processes, and firms with lower proportions of independent directors. This study extends the literature on human capital at the level of firms’ entire workforce and CSR by elaborating the positive effect of employee quality on CSR in the context of an emerging economy (China). The results suggest that it is necessary to consider the educational level of employees when analysing CSR, which is of strategic significance for corporate sustainable development.