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Drawing on theories of social information processing and social identity, the authors explore how abusive supervision climate affects team creativity in a Chinese cultural context. The authors propose that this relation will be mediated by collective efficacy and group identification and moderated by task interdependence

The study conducted a confirmatory factor analysis and hierarchical regression to analyze the paired data from 67 research and development (R&D) teams involving 378 employees and employers in a Chinese cultural context.

Results demonstrate that abusive supervision climate was negatively related to team creativity, fully mediated by collective efficacy and group identification in a Chinese cultural context. In addition, task interdependence strengthened the positive relation between collective efficacy and team creativity, as well the positive relation between group identification and team creativity.

Although research has explored how abusive supervision climate influences individual creativity, few studies have investigated the relation between abusive supervision climate and team creativity in a Chinese cultural context. This study is one of the first to explore how abusive supervision climate affects team creativity in a Chinese cultural context and examine the moderating role of task interdependence in the relation between abusive supervision climate and team creativity.

This study aims to model tourist activities in a network and explore the properties of the network. Such network enables the author to explain and quantify how tourist activities are connected in determining tourist consumption as well as the organization of destination supply.

The author developed a network formation mechanism to create edges between nodes based on the joint probability of a pair of activities undertaken by tourists at a destination. By adjusting network sparsity, the author created an ensemble of four topologically similar networks for empirical testing. The author used tourist activity data of Hong Kong inbound tourists to test the network model.

The author found a robust hub–periphery topological structure of the tourist activity network. In addition, the network is featured by high clustering, short diameter and positive correlations between four node centralities, namely, degree, closeness, betweenness and eigenvector centralities. The author also generated the k-cores of the networks to further unravel the structure of hub nodes. The author found that the k-cores are dominated by tourist activities related to shopping or sightseeing, suggesting the high complementarity of these activities.

This study provides a different lens through which tourist consumption can be understood from a macroscopic angle by examining network topology and from a microscopic angle by examining node centralities.

To the best of the author’s knowledge, this is the first study attempting to model tourist activity and consumption in a network and explore the properties of the network. Not only has this study provided a new real-world network for network research, but it has also suggested an innovative modeling approach for tourist behavior research.

This short paper presents the lessons learnt for conservation planning of heritage sites from a pilot study on disused military structures on Devil’s Peak, Hong Kong. Stakeholders’ interest and surveying as facilities management factors should be well considered in the planning stage for heritage conservation. Thus, public education and involvement and on‐site land surveying is essential for future project success.

Drawn upon the perspective of implicit voice theory, the purpose of this paper is to explore the underlying mechanism as well as the boundary effect in the relationship between paternalistic leadership and voice behavior.

Multiple-wave survey data from a sample of 368 employees in China were used to test the hypothesized moderated mediation model.

The findings show that both benevolent leadership and moral leadership related positively to voice behavior, whereas authoritative leadership played a negative role in influencing voice behavior. Employees’ implicit voice belief played a partial mediating role between paternalistic leadership and voice behavior. Furthermore, perceived HRM strength weakens both the mediation relationship among benevolent leadership, implicit voice belief and voice behavior, and the mediation relationship among moral leadership, implicit voice belief and voice behavior. However, the moderated mediation effect of implicit voice belief on the relationship between authoritative leadership and voice behavior is not significant.

Leaders are encouraged to behave benevolently and morally whereas to avoid excessive authoritative style at work, so that employees can be encouraged to speak out. Organizations are advised to introduce management practices like training and development sessions and to improve employees’ perceived HRM strength so that the implicit voice belief can be reduced, and the voice behavior can be stimulated.

The research provided a fresh theoretical perspective on the underlying mechanism between paternalistic leadership and employees’ voice behavior by unveiling employee implicit voice belief’s partial mediating role between paternalistic leadership and employee voice behavior. Furthermore, the study contributed to the literature of voice by adopting a more integrative perspective and exploring the role of the implementation of the organization’s system, i.e., perceived HRM strength that provided a boundary condition in the above mediation model.

SABENA will shortly be bringing into operation a new test bench at Brussels‐National Airport. This is for testing the Pratt and Whitney JT‐9D jet engines which power the Company's Boeing 747 aircraft, and the General Electric CF‐650 jets of the DC‐10 30CF. It will also be available for the jet engines which power the Boeing 707–320C and 727 currently in service, and those of the Boeing 737, which SABENA took delivery of in May this year.

Modular integrated construction (MiC) is an innovative and effective manufacturing-based method of construction that has become the mainstream development direction of projects in Hong Kong (HK). However, large-scale promotion of MiC practice still needs efforts. A pressing concern is that the impact of relevant policies on stakeholders during project implementation is rarely explored in depth. Therefore, to fill the research gap, this study aims to investigate the influence of policies on stakeholders to drive the successful implementation of MiC in HK.

This study uses a strategy of multiple methods. First, a comprehensively literature review and survey were adopted to identify critical policies and stakeholders. Second, semi-structured interviews with 28 experts were conducted to quantify their relationships. Third, three policy–stakeholder networks at initiation, planning and design and construction stages were established using social network analysis.

Environmental protection policy, COVID-19 pandemic policy and environmental protection policy and quality acceptance standard for project completion are found to be the most important policies of the three stages, respectively. The HK government and developers are highlighted as prominent stakeholders influencing policy implementation at all three stages. The dynamics of the influence stakeholders receive from critical policies at different stages of MiC are discussed. Valuable recommendations are accordingly proposed to enhance the successful implementation of MiC projects from the perspective of various stakeholders.

This study contributes to the body of knowledge by considering the mediating influence of stakeholders during policy implementation in the MiC uptake, and is valuable in helping policymakers to deeply understand the influence of policies to further forward successful MiC implementation and practicality in HK.

This study aimed to identify and assess the barriers to implementing modular construction systems (MCS) in developing country's architecture, engineering and construction (AEC) industry, targeting built environment professionals from Nigeria and South Africa.

The study adopted a quantitative research method, using a structured questionnaire to seek the opinions of the professionals on the identified categories of barriers.

Results indicated that all identified categories of barriers were statistically significant using a one-sample t-test at p = 0.05 significance level which indicates they are critical towards the implementation of MCS in developing countries. Assessment of the opinion of the professionals using the Kruskal–Wallis scale showed that they hold similar views on the barriers to the adoption of MCS. Pearson correlation shows a high correlation coefficient amongst the barrier categories and an acceptable level of significance (p = 0.05).

This study is limited to two significant African countries (Nigeria and South Africa) selected based on the gross domestic product (GDP). Further studies can consider developing countries outside Africa and investigate broader respondents.

The study provides implications on the barriers affecting MCS in developing countries for the academia, industry and government to have an insight into the barriers and make informed decisions and policies.

The research satisfies the need to study the barriers affecting the MCS in developing countries that can mitigate housing deficits. This innovative construction method has been adopted and implemented in developed countries, and the result has been positive.

Public housing in Hong Kong plays an essential role in accommodation supply to people of low income. Access to social resources and rent levels of nearby private residential housing are two critical issues impacting the well-being of residents living in public housing estates. However, previous research has rarely focused on the spatial distribution of public housing estates through exploring these two critical issues. On the other hand, Hong Kong is currently experiencing an urban renewal process. It would be beneficial to consider these critical issues for spatial allocation of public housing in urban renewal decision making. The purpose of this paper is to investigate these two critical issues in relation to the spatial distribution of public housing estates in Kowloon, Hong Kong.

Seven spatial variables were selected to reflect these critical issues. Spatial analysis in Geographic Information System was conducted to process the data required. Multiple logistic regression was employed to analyse the relationships between the spatial location of public housing estates and the seven selected variables.

Based on the analysis results, several problems as well as geographical advantages of the current location of public housing estates were discovered, which can be valuable references for decision making by government authorities for public housing development in the future.

This research is a pilot study on the spatial distribution of public housing estates and the critical influencing factors in Hong Kong, undertaken by applying both spatial analysis and statistical methods. It can help relevant decision makers deal with current problems of public housing location and make informed decisions on where to locate new housing projects in an urban renewal process, which can increase the equal distribution of social resources and improve the well-being of people living in public housing.

The impacts of COVID-19 on construction projects have attracted much attention in the construction management research community. Nevertheless, a systematic review of these studies is still lacking. The purpose of this paper is to systematically analyze the impacts of COVID-19 on the different stages of a project life-cycle, and comprehensively sort out the epidemic response measures adopted by project participants. In addition, the study also attempts to explore the challenges and opportunities faced by project management practitioners under the context of COVID-19.

This study comprehensively demonstrates the systematic review process of COVID-19 related research in the construction industry, systematically summarizes the research status of the impact of COVID-19 on construction projects, and defines the strategies to deal with COVID-19 in project management; and through the visualization research, determines the current key research topics and future research trends.

This study identifies 11 construction activities in the project management life cycle that are affected by COVID-19 and finds that the COVID-19 epidemic has the greatest impact on construction workers, construction standards, construction contracts and construction performance. The study further summarizes the six main epidemic countermeasures and mitigation measures taken within the construction industry following the arrival of the epidemic. In addition, the results of this study identify opportunities and future trends in intelligent construction technology, rapid manufacturing engineering and project management in the construction industry in the post-epidemic era through literature results, which also provide ideas for related research.

COVID-19 has brought severe challenges to society. It is of great significance for the future sustainable development of the construction industry to identify the impact of COVID-19 on all phases of the project and to promote the development of coping strategies by project stakeholders.

First of all, there is little study comprehensively reviewing the impacts of COVID-19 on the different stages of construction projects and the strategies to deal with the negative impacts. In addition, from a life cycle perspective, the used articles in this study were grouped into different categories based on project stages. This promotes an integrated and comprehensive understanding of historical studies. Moreover, on the basis of a comprehensive review, this paper puts forward future research directions to promote the sustainable development of the construction sector.

In view of the difficulty in determining the key parameters d in the Corten-Dolan model, based on the introduction of small loads, damage degrees and stress states to the Corten-Dolan model and the existing improved model, the sequential effects of the adjacent two-stage load were further considered.

Two improved Corten-Dolan models were established on the basis of modifying the parameter d by two different methods, namely, increasing stress ratio coefficient as well as considering the effects of loading sequence and damage degree as independent influencing factors respectively. According to the test data of the welded joints of common materials (standard 45 steel), alloy materials (standard 16Mn steel) and Q235B steel, the validity and feasibility of the above two improved models for fatigue life prediction were verified.

Results show that, compared with the traditional Miner model and the existing Corten-Dolan improved model, the two improved models have higher prediction accuracy in the fatigue life prediction of welding materials whether under two-stage load or multi-stage load.

Because the mathematical expressions of the models are relatively simple and need no multi-layer iterative calculation, it is convenient to predict the fatigue life of welded structure in practical engineering.