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Adopting a multi-level research approach, this study aims to investigate the impact of employee engagement on team performance. It further explores the mediating effects of employee commitment and organizational citizenship behaviour on the employee engagement–team performance relationship.

The study follows a quantitative method. Data were collected through a self-administered questionnaire survey using snowball and convenience sampling. Descriptive statistics and bi-variate correlation analyses were conducted using SmartPLS 2 and SPSS 20 software, and subsequently, a structural equation model was developed.

The study suggests that better employee engagement could improve team performance in organizational contexts. Organizational commitment and citizenship behaviour played a mediating role in the employee engagement–team performance relationship. Further research on the meditating effects of demographic factors is suggested to advance knowledge in the employee engagement domain.

Based on premises of the social exchange theory and the employee stewardship theory, the study integrates multi-level variables to impact of individual employee engagement on organizational team performance. The findings of the study contribute to the existing literature by providing empirical evidence of the impact of individual-level variables on team-level performance. It reiterates the need for multi-level modelling of organizational behavioural research.

The study used a multi-theoretical approach to investigate team performance in organizational contexts, i.e. individual employee engagement, organizational commitment and organizational citizenship behaviour. This integrated model using predictors from multiple levels demonstrates that team performance could be enhanced from interactions of different factors of individual behaviour.

Using a multi-level perspective, the purpose of this paper is to investigate impact of transformational leadership on employees’ creative process engagement and mediating roles of intrinsic motivation, task complexity and innovation support in the process of influence.

This study follows a quantitative method. Using a multi-item survey instrument, a total of 400 questionnaires were distributed among employees of small and medium enterprises registered with the Chittagong Chamber of Commerce and Industry in Bangladesh. Collected data were analyzed using structural equation model as well as factor analysis and path analysis to test the hypotheses and to assess the moderating and mediating effects of the variables.

The findings reveal that transformational leadership has a significant impact on employees’ creative process engagement. The study further shows that task complexity and support for innovation moderate the relationship between transformational leadership and employees’ creative process engagement.

Based on the premises of interactionist perspectives on creativity, this study integrates multi-level variables to investigate leaders’ influences on followers’ creative process engagement. This study contributes to the existing literature by providing empirical evidence on influence of transformational leadership on employees’ creative process engagement as well as the impact of both individual- and organizational-level variables.

The study adopts a distinct model comprising five different variables to investigate creative process engagement from a multi-level perspective, i.e., creative process engagement and intrinsic motivation at the individual level, task complexity at the unit level, and support for innovation and leadership at the organizational level. This integrated model of using predictors from multiple levels supports the theoretical assumptions that creative process engagement results from the interaction of individual-, group- and organizational-level factors.

Given that individual creativity is a critical element to achieving organizational competitiveness, the purpose of this study is to attempt to investigate how transformational leadership (TL) drives employee creative process engagement (CPE) by improving their creative self-efficacy (CSE).

Analysis has been performed based on 194 responses from information and communication technology firms using a cross-sectional survey design. The study follows a deductive research approach to test the hypotheses. It uses SmartPLS2 and IBM SPSS 21 for a structural equation model.

The investigation finds that TL significantly predicts CPE, and CSE partially mediates the TL–CPE relationship. The result demonstrates that TL shapes an organizational climate conducive to the employees’ CPE by building employees’ self-efficacy.

The study sample was drawn from a single sector of the Bangladeshi economy. The sampling design represents a limitation, for which the findings cannot be broadly generalized. Replications and augmentations of the study in various industrial areas will help test the robustness and generalizability of the discoveries.

TL and CPE are desirable organizational outcomes across all cultures. From a practical standpoint, the outcomes demonstrate that TL is linked to CPE and CSE among information and communication technology employees. This study extends the appropriateness of CSE into Asian countries. Notably, it provides additional insight into a contemporary TL model that can unequivocally impact leadership development in the Bangladeshi information and communication technology firms. Managers or chief executive officers in the small and medium enterprises are expected to exhibit TL attributes by designing a supportive organizational climate that will motivate employees to exhibit creative activities.

TL transforms employees’ psychological state to get them to engage in creative processes, benefiting the organizational stakeholders by their unconventional creative behavior. The TL-driven innovative outcome through employees’ CPE contributes to the development of social well-being.

This paper adds significance to the extant literature regarding the determinants of the mediating impact of CSE on TL and CPE from the viewpoints of information and communication technology firms, particularly from developing countries, such as Bangladesh. It also contributes to reconcile the findings of the previous studies around the globe in both developed and developing countries.

In spite of being the second largest recipient of foreign direct investment (FDI) in the world, China shows limited evidence of considerable FDI benefits on growth (Fan and Hu; Luo; Ran et al.). Motivated by Alfaro et al.'s model, the purpose of this study is to test whether poor financial market development might be responsible for the relatively low benefits of FDI on growth in China.

The author applies Blundell‐Bond system GMM estimators to a panel of Chinese provinces.

The results indicate that poor financial intermediation does indeed limit the transmission of FDI benefits within the Chinese economy. Moreover, the study reveals preliminary evidence that banks' credits to unproductive state‐owned enterprises (SOEs) constitute poor financial intermediation with negative growth implications. In contrast, credits to small private enterprises are associated with a positive impact of FDI on growth.

The study is constrained by data availability especially for private credit data across provinces.

Two policy implications can be drawn from the empirical findings. First, the direct policy implication is that to ensure positive benefits from FDI in China, domestic financial reforms are crucial. This is an important perspective for making FDI policies. The results also reveal some key priorities of financial reforms. More credits to small private enterprises are an indication of good financial intermediation, while more loans extended to unproductive SOEs signal poor financial intermediation. The priority of reform comes down to tackling the difficult problem of credit misallocation.

This paper provides an alternative perspective to address the weak FDI‐growth relationship found in China. Inspired by Alfaro et al.'s model and the understanding of the problem of Chinese financial markets, the study examines the role of the financial system in the FDI‐growth linkage and reveals how financial market conditions could influence FDI benefits in China.

The purpose of this paper is to analyse the characteristics of environmental protection behaviours of community residents from the perspective of system dynamics.

Documentation method is used to collect the factors and environmental improvement intervention strategies that influence the environmental protection behaviours of community residents from the top journals. To analyse the characteristics of the environmental protection behaviours of community residents which are nonlinear and dynamic, system dynamics (SD) are drawn. The initial value for simulation is obtained from the investigation report of some communities in China by questionnaires method.

The simulation shows that a process of continuous and interactional feedback is formed among environmental improvement intervention strategies, living context, environmental behavioural intention and environmental protection behaviours. These influences affect how environmental protection behaviour is affected by frequency of community environmental publicity, frequency of community participation regulation and local government investment, all of which are significant and decrease successively. Living context and environmental behavioural intention, which are intervened by the three strategies, can promote community residents’ environmental protection behaviours and reduce the degree of environmental pollution in communities.

The goal of reducing the community environmental pollution may be achieved, because the community environmental management departments can use this system dynamics approach to intervene the environmental protection behaviours of community residents.

The nonlinear and dynamic interactions among influencing factors are illustrated for an in-depth understanding of the environmental protection behaviours of community residents in this study. In addition, the initial parameter value and correlation coefficients are obtained for simulation through the questionnaire survey given to Chinese community residents to avoid the subjectivity of system dynamics.

This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).

Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.

The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.

Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.

This research analyzes the cycle of the dry bulk shipping market (DBSM) as a representative of spot and period charter rates in dry bulk shipping to develop strategies for investment timing (i.e. asset play) and fleet trading (chartering strategy).

Spectral analysis is a numerical approach to extract significant cyclicality, which may be utilized to develop trading strategies. Instead of working with a single dataset (univariate), a system approach can be utilized to observe a significant shipping market cycle in its multi-variate circumstance. In this paper, a system dynamics design is employed to extract cyclicality in the DBSM in its particular industrial environment. The system dynamic design has competitive forecasting accuracy relative to univariate time series models and artificial neural networks (ANNs) in terms of forecasting outcomes.

The results show that the system dynamic design has a better forecasting performance according to three evaluation metrics, mean absolute scale error (MASE), root mean square error (RMSE) and mean absolute percentage error (MAPE).

Cyclical analysis is a significantly useful instrument for shipping asset management, particularly in market entry–exit operations. This paper investigated the cyclical nature of the dry bulk shipping business and estimated significant business cycle periodicity at around 4.5-year frequency (i.e. the Kitchin cycle).

Three types of industrial buyer-seller relational process models are available: joining theory, stage theory, and state theory. However, historically, these models have developed based on the knowledge and cultural context of the Western world. Several researchers note that national culture may have an impact on international industrial buyer-seller relationships. Including culture in the models is highly important, especially as the business environment is increasingly more global and different countries have different business cultures. The goal of this paper is to define the most suitable industrial buyer-seller relational process models for describing relationships in various contexts. The paper includes a through literature review and a single case study in order to reach this objective. A new state theory model evolved during the research. It consists of two beginning states: searching and starting; four purely middles states: constant/static, decline, growth, and troubled; and a purely end state: termination. The state of dormant/inert is both a middle state and an end state, that is, when the relational actors are not in contact does not mean that the relationship has ended, but instead, for example, new legislation may have been implemented, which requires the actors to evaluate their relationship and its future. A relationship goes through the two beginning states in the order mentioned above, but after that, any state may occur.

The purpose of this paper is to extend prior supply chain research by empirically exploring the relationship among guanxi, supply chain integration (SCI), and operational performance. More specifically, this study investigates the mediating role of SCI.

Ordinary least square regression is used to analyze survey data collected from 126 automobile manufacturers in China.

The results reveal a significant positive relationship between guanxi and SCI, and that SCI is significantly and positively related to operational performance. The authors’ findings further suggest that guanxi indirectly affects operational performance through SCI.

The empirical findings imply that it is vital for managers to recognize the important mediating role of dynamic SCI capabilities.

As a fundamental Chinese cultural norm, guanxi can be critical in a supply chain context. Although previous research has identified the importance of guanxi and SCI in improving firm performance, far less attention was given to the study of the mediating effect of SCI on the guanxi-performance relationship. This study thus fulfills the research gap by providing an initial empirical examination of the mediating role of SCI in China’s automotive industry.

The industrial buyer-seller relational process models from the Eastern and Western worlds have not been combined. The Western world has dominated the development of the models, while there exist only a very limited amount of guanxi development models from the East. This paper is exploratory in nature, focusing on combining the development of these two worlds into one intercultural model. Four case relationships verify the proposed model.

This paper focuses on only one cultural context outside of the West, that is to say, China. In order to justify the model to be completely an intercultural one, research in other cultural contexts is necessary.