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This study examines the antecedents and dynamics of authoritarian leadership and extends the effects of managers' sleep quality to employee behavior.

On the basis of self-regulation theory, 513 unit day samples were analyzed using cross-level path analysis and a Monte Carlo simulation test.

Managers' sleep quality is positively related to authoritarian leadership and positive emotions play a mediating role. Authoritarian leadership is positively related to employees' counterproductive behavior. Managers' sleep quality affects employees' counterproductive behavior through managers' positive emotions and authoritarian leadership.

Individuals should learn to reduce stress and maintain a positive mood. Organizations should reduce employees' overtime work and work stress and find other ways to improve employees' sleep quality.

First, we considered authoritarian leadership to be dynamic and studied it on a daily basis. Second, we studied the antecedents of authoritarian leadership from the perspective of leaders' states (sleep quality and emotions). Third, we discussed the effect of managers' sleep quality on employee behavior.

This study is aimed at better understanding the evolution of inequality in carbon emission in intraincome and interincome groups in the world, and then to uncover the driving factors that affect inequality in carbon emission.

The approach is developed by combining the Theil index and the decomposition technique. Specifically, the Theil index is used to measure the inequality in carbon emissions from the perspective of global and each income group level. The extended logarithmic mean Divisia index was developed to explore the driving factors.

This study finds that the inequality in carbon emissions of intraincome group is getting better, whereas the inequality in carbon emission of interincome group is getting worse. And the difference in global carbon emissions between income groups is the main source of global carbon emission inequality, which is greater than that within each income group. In addition, the high-income group has transferred their carbon emissions to upper-middle income group by importing high-carbon-intensive products to meet the domestic demand, while lower-middle-income group do not fully participate in the international trade.

To alleviate the global carbon inequality, more attention should be paid to the inequality in carbon emission of interincome group, especially the trade between high-income group and upper-middle income group. From the perspective of driving factors, the impact of import and export trade dependence on the per capita carbon emissions of different income groups can almost offset each other, so the trade surplus effect should be the focus of each group.

In order to consider the impact of international trade, this study conducts a comprehensive analysis of global carbon emissions inequality from the perspective of income levels and introduces the import and export dependence effect and the trade surplus effect into the analysis framework of global carbon emission inequality drivers, which has not been any research carried out so far. The results of this paper not only provide policy recommendations for mitigating global carbon emissions but also provide a new research perspective for subsequent inequality research.

Multiutility tunnel (MUT) has been recognised as a more sustainable method to place underground utilities than the traditional directly buried (DB) method. However, the implementation of MUT is hindered because of high initial construction costs and the difficulty to demonstrate its benefits, especially social benefits that are hard to be quantified. To address the limitation, this paper aims to quantify and compare both economic costs and traveller loss (i.e. an important part of social costs) of the MUT and DB method.

An agent-based model (ABM) is developed, which considers attributes and actions of vehicles, interactions between vehicles and interactions between vehicles and the road network. The ABM is used to estimate traveller loss by comparing traveller time when the MUT and DB method is adopted, respectively. The traveller loss is combined with economic costs to estimate and compare the LCC of the MUT and DB method. To verify the ABM-based approach, it is implemented in an MUT project in Shanghai, China.

Results of the study indicate: (1) When the DB method is adopted, periodic E&Rs cause severe traffic congestion and substantial traveller loss. (2) When traveller loss is not included in the LCC estimation, the DB method has a lower LCC in most scenarios. (3) When traveller loss is included, the relative LCC of MUT and the time it takes to cover the LCC of the MUT and DB method is largely reduced. Thus, when social costs are considered, MUT will bring more benefits than the DB method.

Previous studies on comparing the MUT and DB method focus on investigating economic costs, while other costs, e.g. social costs, are not well addressed quantitatively. Besides, current studies of traveller loss estimation lack consideration of factors such as unique attributes, actions and interactions of vehicles and the network. Hence, this paper applies an ABM-based approach to involve these factors and produce more reliable estimation of traveller loss than existing approaches. Moreover, by integrating traveller loss into LCC analysis, this paper helps to understand the benefits of MUT thus assisting decision-making in selecting utilities placement methods.

The government plays a critical role in driving building information modeling (BIM) implementation. The purpose of this study is to investigate the government efforts for driving BIM implementation in three benchmark countries, namely, Singapore, the UK and the US, so as to develop appropriate roadmaps for increasing BIM implementations in other countries.

This study performs a review on the government efforts and roles in BIM implementation in three benchmark countries, namely, Singapore, the UK and the US.

Through cross comparison with existing literature, it is found that Singapore and the UK adopt a government-driven approach and a phase-by-phase development pattern is observed. The first phase focuses on the building sector to rapidly increase the use of BIM and the government generally plays the role of an initiator. In the second phase, BIM is expanded to other implementation areas, e.g. smart city. The importance of the initiator role decreases and more attention is paid to supporting roles such as researcher, educator and regulator. In contrast, an industry-driven approach is adopted in the US. The main role of the government is that of a regulator, with research institutions actively supporting the BIM implementation.

General roadmaps of the two mandating approaches are presented. The results can provide a useful reference for countries and regions that intend to develop roadmaps to increase their BIM maturity level and enhance readiness to accept and implement BIM.

This study is one of the first studies that investigate the step-by-step roadmaps for implementing BIM from the perspective of changing government roles.

Employing multi-type laborers (MLs) is common in multinational and cross-culture projects (MPCs). Different attributes of MLs can lead to uncertain and dynamic laborer behaviors (i.e. behavioral diversities), which may cause project deviations. Previous studies do not consider the uncertainties or dynamics of behaviors adequately or they only provide general suggestions. The purpose of this paper is to combine system dynamics (SD) and agent-based modeling (ABM) to build an integrated model. The proposed ABM-SD can gain better understanding of MLs’ behavioral diversities, reveal the associated impacts and improve project management.

Based on extensively review in construction labor management and computer simulation, architecture is built to depict the relationships between the affecting factors of MLs’ behaviors, MLs’ behavioral diversities and project performance. Second, conceptual structures of the ABM-SD model are developed. Third, methods to implement the model in practice are introduced, focusing on data collection and model structure adjustment. Finally, the model is tested in a case study.

Different ML groups have distinctive behaviors which constantly change through interactions between MLs, engineers and external environment. Inadequate consideration of the diversities can result in inaccurate estimation of productivity, work quality and absenteeism, causing severe project deviations such as schedule delay, cost overrun and high absenteeism. On the other hand, using the ABM-SD model, the root causes of project deviations are analyzed from the perspective of MLs’ behavioral diversities and the optimization of labor management can significantly improve project performance.

This paper supplements previous studies because the ABM-SD model takes fully use of the strength of simulation of solving uncertain and dynamic problems and combines both qualitative and quantitative findings in existing studies of labor management. Besides, the ABM-SD model is also a practical management tool to better monitor laborer behaviors and forecast the impacts. The limitation is mainly about the small scale of the case study. However, the ABM-SD model already demonstrates the mechanism about how MLs’ different behaviors affect a project, which fulfill the aim of the study.

The ABM-SD model can simulate MLs’ behavioral diversities and produce reliable estimations of project performance. It also allows to optimize management plans. Furthermore, The ABM-SD model is adjustable based on specific project conditions, which make it applicable for different tasks, different laborer compositions and even different projects. Thus, the ABM-SD model can be a practical tool for engineers in MCPs.

SD and ABM are applied to study behaviors with well-known benefits in both separated and integrated manner. However, few studies use the approach to investigate MLs’ behaviors in MCPs. Hence, the proposed ABM-SD model is an original attempt to improve the laborer management level in MCPs.

Moral leadership is a common leadership style in Chinese society and is of great significance to Chinese organizations. Unethical employee behavior also widely exists in all kinds of social organizations and brings great harm. The research on the relationship between moral leadership and unethical employee behavior has not been involved yet, but it is important. This paper studies how moral manager (senior leader) leadership trickles down to unethical employee behavior through moral supervisor (employee direct supervisor) leadership, and discusses the moderating effect of LMX and ethical climate.

Through the questionnaire survey of 406 pairs of leaders and employees, and use multilevel path analysis, we test the hypothesis in this paper.

The research results show that (1) Moral manager leadership is negatively related to unethical employee behavior. (2) Moral supervisor leadership mediates the relationship between moral manager leadership and unethical employee behavior. (3) LMX positively moderates the relationship between moral manager leadership and moral supervisor leadership, and moderates the mediating effect of moral supervisor leadership. (4) Ethical climate positively moderates the relationship between moral supervisor leadership and unethical employee behavior, and moderates the mediating effect of moral supervisor leadership.

First, this study further proves that moral leadership is a popular positive leadership among the three dimensions of paternalistic leadership that extends its influence to unethical employee behavior. Second, this study traces the source of the moral leadership of employees' supervisors and reveals the action mechanism of how moral manager leadership affects unethical employee behavior. Finally, LMX provides the organizational context of the trickle-down effect and the occurrence of unethical employee behavior.

Conducting research on the relationship between benevolent leadership and unethical employee behavior can help us find solutions to reduce unethical employee behavior. This paper also discusses how the benevolent manager leadership can be transmitted to the employee's unethical behavior through the benevolent supervisor leadership and the moderating effect of LMX and ethical climate.

Through a questionnaire survey of 406 pairs of leaders, supervisor and employees, the authors use data aggregation test, confirmatory factor analysis, descriptive statistics and multilevel model (HLM) to test our hypothesis.

(1) Manager supervisor leadership is negatively related to unethical employee behavior, (2) benevolent supervisor leadership mediates the relationship between benevolent manager leadership and unethical employee behavior, (3) LMX positively moderates the relationship between benevolent manager leadership and benevolent supervisor leadership and moderates the mediating effect of benevolent supervisor leadership, and (4) ethical climate positively moderates the relationship between benevolent supervisor leadership and unethical employee behavior and moderates the mediating effect of benevolent supervisor leadership.

First, based on previous studies, this study further proves that benevolent leadership is a popular positive leadership among the three dimensions of paternalistic leadership that extends its influence to unethical employee behavior. Second, the study traces the source of the benevolent leadership of employees' supervisors and reveals the action mechanism of how benevolent manager leadership affects unethical employee behavior (trickle-down effect). LMX and the ethical climate provide the organizational context of the trickle-down effect and the occurrence of unethical employee behavior.

Co-working spaces bundle all real estate services into a package and leverage shared economy trend to create new opportunities for growth. This sector is anticipated to expand significantly due to changes in mobility and office design driven by the development of remote or hybrid work settings. The current study attempts to identify key motivating factors for users in emerging economies in choosing co-working spaces.

Using analytic hierarchy process (AHP) methodology and the self-determination theory framework, a total of 4 criteria-level factors, along with 13 sub-criteria level factors were identified as key motivators for adapting to co-working spaces.

The study highlights a few factors and their relative importance, which could help firms/organizations to start or offer co-working spaces within emerging economies.

The study contributes to literature by advancing the understanding of key motivators for users of co-working spaces within the ambits of emerging economies. In the process, the authors enlist a few factors vis-à-vis their relative importance, which could help firms/organizations to start or offer co-working spaces within emerging markets.

Over the past decade internationalisation by banks from emerging market economies has accelerated. The purpose of this study is to examine the role of government and home country institutions in the international expansion process of Chinese commercial banks (CCBs).

By employing qualitative research method, data was collected via interviews from 30 senior managers based on a sample of 10 CCBs involved in international expansion over the 2001–2013 period.

The study finds that the Chinese government and home institutions play an important role in motivating CCBs’ internationalisation. Evidence from this research illustrates the effect institutional factors have in emerging economy firms’ internationalisation.

The managerial implication of these findings is that CCBs could take great advantage of government policy by developing proper internationalisation strategies and capabilities that would enhance CCBs’ competitiveness in global market. On the institutional front, removal of the institutional constraints imposed on Chinese banking industry is required. Using market-oriented management and regulatory rules rather than imposing administrative restrictions could therefore accelerate CCBs’ adaption and integration in the international market and enhance their competitive power.