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The purpose of this paper is to examine whether outside CEO directors sympathize with the company CEO due to their similar positions and prestige, and make decisions in favor of the company CEO. Specifically, the authors investigate how outside CEO directors serving on the compensation committee influence CEO compensation.

The authors investigate how outside CEO directors on the compensation committee impact the level and pay‐for‐performance sensitivity of CEO compensation. In addition, the relation between excess CEO compensation (attributable to outside CEO directors) and future firm‐operating performance is examined.

It is found that outside CEO directors on the compensation committee are associated with higher CEO compensation. However, excess CEO compensation attributable to outside CEO directors leads to poor future firm‐operating performance. Outside CEO directors are associated with higher CEO pay‐for‐performance sensitivity when the company experiences positive stock returns, but do not impact pay‐for‐performance sensitivity when firm performance is poor. Finally, when the company CEO has more influence on the board, outside CEO directors are more likely to serve on the compensation committee.

The paper is among the first to show that having outside CEO directors on the compensation committee might create agency problems and is costly to shareholders. The findings of the authors' study are relevant to current efforts of regulators and private sectors to enhance oversight of executive compensation.

From practical perspectives and to improve the working efficiency, trolley transportation and payload hoisting/lowering should be simultaneously controlled. Moreover, in practical crane applications, the transportation time is an important criterion for improving transportation efficiency. Based on these requirements, this paper aims to solve positioning and antiswing control problems and shorten the transportation time for underactuated varying-rope-length overhead cranes.

By choosing trolley acceleration and varying-rope-length acceleration as system inputs, the crane system dynamic model is converted into an equivalent model without linearizing/approximating. Then, based on the converted model and system state constraints, a time-optimal problem is formulated. Further, the original problem is converted into an optimization problem with algebraic constraints which can be conveniently solved. Finally, by solving the optimization problem, the optimal trajectories of system states, including displacements, velocities and accelerations, are obtained.

This paper first provides a nonlinear time-optimal trajectory planner for varying-rope-length overhead cranes, which achieves accurate and fast trolley positioning and eliminates payload residual swings. Meanwhile, all system states satisfy the given constraints during the entire process. Hardware experimental results show that the proposed time-optimal planner is effective and has better performance compared with existing methods.

This paper proposes a time-optimal trajectory planner for overhead crane systems with hoisting/lowering motion. The proposed planner achieves fast trolley positioning and eliminates payload residual swing with all the system states being constrained within given scopes. The planner is presented based on the original nonlinear system dynamics without linearization/approximation.

The purpose of this paper is to examine the impact of social capital on organizational ambidexterity in the context of emerging economies. Moreover, this paper aims to study the moderating influence of absorptive capacity on the relationship between social capital and organizational ambidexterity.

The authors conducted two studies using survey data collected from 97 Ecuadorian and 100 Chinese small and medium-sized enterprises (SMEs).

The authors found that social capital, the extent to which organizational members interact, collaborate and share knowledge with one another and with external actors, has a positive effect on the simultaneous implementation of exploratory and exploitative innovations (i.e. organizational ambidexterity). Moreover, the authors found that absorptive capacity positively strengthens the impact of social capital on organizational ambidexterity.

Drawing on the knowledge-based view and the innovation literature, the authors theoretically argue the importance of social capital and absorptive capacity for SMEs to develop and manage exploratory and exploitative innovations simultaneously in emerging economies of different cultures. The authors empirically test proposed hypotheses in Ecuador and China, two emerging markets with important cultural differences, and show the relevance of social capital in multiple settings.

Research and development (R&D) projects are often pursued through a project portfolio (PP). R&D PPs involve many stakeholders, and without proactive management, their interactions may lead to conflict risks. These conflict risks change dynamically with different stages of the PP life cycle, increasing the challenge of PP risk management. Existing conflict risk research mainly focuses on source identification but lacks risk assessment work. To better manage the stakeholder conflict risks (SCRs) of R&D PPs, this study employs the dynamic Bayesian network (DBN) to construct its dynamic assessment model.

This study constructs a DBN model to assess the SCRs in R&D PP. First, an indicator system of SCRs is constructed from the life cycle perspective. Then, the risk relationships within each R&D PPs life cycle stage are identified via interpretative structural modeling (ISM). The prior and conditional probabilities of risks are obtained by expert judgment and Monte Carlo simulation (MCS). Finally, crucial SCRs at each stage are identified utilizing propagation analysis, and the corresponding risk responses are proposed.

The results of the study identify the crucial risks at each stage. Also, for the crucial risks, this study suggests appropriate risk response strategies to help managers better perform risk response activities.

This study dynamically assesses the stakeholder conflict risks in R&D PPs from a life-cycle perspective, extending the stakeholder risk management research. Meanwhile, the crucial risks are identified at each stage accordingly, providing managerial insights for R&D PPs.

Why do some employees choose to prolong their working hours excessively? The current study tested how core self-evaluations (CSEs) might lead to workaholism and how perceived job demands might mediate this relationship.

Insights from the extant literature underpin the hypotheses on how CSEs would affect the development of workaholism through perceived job demands. A sample of 421 working people in China completed the online surveys, and the mediation model was tested using Mplus 7.0 (Muthén and Muthén, 1998–2012).

This study found that different components of CSEs influence workaholism in different ways. Specifically, generalized self-efficacy positively predicts workaholism, whereas emotional stability negatively predicts workaholism. Moreover, most aspects of CSEs (generalized self-efficacy, emotional stability and locus of control) influence workaholism via perceived job demands, specifically via perceived workload but not via perceived job insecurity.

The current study is the first to explore how individuals' fundamental evaluations of themselves (i.e. CSEs) relate to workaholism. The results are helpful for the prevention and intervention of workaholism in organizations.

The purpose of this paper is to examine how Chinese consumer attitude mediates factors that influence their purchase intention toward low-displacement vehicles.

This study utilizes online survey data in China, multiple regression and recursive regression models.

Consumers’ environmental concern, perceived effectiveness belief and functional value positively affect their attitude toward such products. Consumer attitude positively affects purchase intention. Consumer attitude fully mediates the influence of environmental concern, and partly mediates the effect of perceived effectiveness belief, and functional value on purchase intention. Consumers’ awareness of government policy is not associated with attitude or purchase intention.

This is a first empirical study to systematically examine Chinese consumer attitude's mediation effect on factors influencing their purchase intent toward low-displacement vehicles in China.

Banks are the major suppliers of external funds for companies in China. The purpose of this paper is to examine whether Chinese banks exercise effective monitoring over borrowers in two lending decisions, including loan interest rates and loan renewals.

Using a sample of Chinese public industrial firms from 2000 to 2005, the authors perform multivariate regression analysis to investigate whether banks adjust their loan interest rates and consider loan renewal decisions in response to borrowers financial performance. The authors also examine these bank lending decisions before and after 2003, when the major banking reforms started to take place in China.

A negative relation was found between the loan interest rate spread and the financial performance of borrowers. However, a negative relation was found between loan renewals and the financial performance of borrowers, consistent with firms in financial difficulties being in need of more funding and hence more likely to get its bank loans renewed. Additionally, it was found that the factors banks consider when making loan decisions vary before and after 2003.

The authors' findings suggest that Chinese banks play a limited role in monitoring and disciplining borrowers through adjustments of loan interest rates, and that their loan renewal decisions for firms with poor financial performance highlight banks' financing, instead of monitoring role in this transition economy. These findings provide empirical evidence on bank governance in a transition economy dominated by state‐owned enterprises. The paper contributes to the literature by constructing an alternative loan renewal measure using financial statement information.

Prefabricated buildings (PBs) have proven to effectively mitigate carbon emissions in the construction industry. Existing studies have analyzed the environmental performance of PBs considering the shift in construction methods, ignoring the emissions abatement effects of the low-carbon practices adopted by participants in the prefabricated building supply chain (PBSC). Thus, it is challenging to exploit the environmental advantages of PBs. To further reveal the carbon reduction potential of PBs and assist participants in making low-carbon practice strategy decisions, this paper constructs a system dynamics (SD) model to explore the performance of PBSC in low-carbon practices.

This study adopts the SD approach to integrate the complex dynamic relationship between variables and explicitly considers the environmental and economic impacts of PBSC to explore the carbon emission reduction effects of low-carbon practices by enterprises under environmental policies from the supply chain perspective.

Results show that with the advance of prefabrication level, the carbon emissions from production and transportation processes increase, and the total carbon emissions of PBSC show an upward trend. Low-carbon practices of rational transportation route planning and carbon-reduction energy investment can effectively reduce carbon emissions with negative economic impacts on transportation enterprises. The application of sustainable materials in low-carbon practices is both economically and environmentally friendly. In addition, carbon tax does not always promote the implementation of low-carbon practices, and the improvement of enterprises' environmental awareness can further strengthen the effect of low-carbon practices.

This study dynamically assesses the carbon reduction effects of low-carbon practices in PBSC, informing the low-carbon decision-making of participants in building construction projects and guiding the government to formulate environmental policies.

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

This paper produces a viable option for transit agencies to reduce their operation costs.