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The impact of globalization and worldwide competition has become excruciatingly noticeable in China. The purpose of this study is to examine China’s transformation of state‐owned enterprises (SOEs) to competitive, capable organizations by identifying the dominant challenges and forces for change to State‐Owned Enterprises in China (SOE), the nature of SOE responses to those forces, and the degree of SOE success in making the necessary transformations to compete in a global business environment.

One of the most important challenges confronting enterprise managers is that of controlling employees' social cyberloafing. The use of enterprise social media entails opportunities for cyberloafing. However, previous research on how enterprise social media use affects cyberloafing is rather limited. Using the job demands-resources (JD-R) model, this paper proposes a research model to investigate the relationship between enterprise social media usage and employees' social cyberloafing behavior.

Structural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an online platform in China, generating 510 employees' data for analysis.

First, both public social media and private social media used for work-related and social-related purposes have a positive effect on employees' job engagement. Further, job engagement has a negative effect on employees' social cyberloafing. Second, the use of public social media for work-related and social-related purposes has no effect on employees' emotional exhaustion. However, work-related private social media usage has a negative effect on employees' emotional exhaustion, and social-related private social media usage has a positive effect on employees' emotional exhaustion. Further, employees' emotional exhaustion has a positive effect on employees' social cyberloafing. Third, there are significant differences in the effects of enterprise social media on employees' social cyberloafing between male and female employees.

First, this paper contributes to the social cyberloafing literature by establishing a relationship between enterprise social media usage and social cyberloafing in relation to the dual influence mechanism. Second, it contributes to the JD-R model by clarifying how the use of enterprise social media with different motivations affects social cyberloafing through a mediation mechanism, namely, an enabling mechanism and a burden mechanism. Third, this paper also contributes to the social cyberloafing literature by revealing the boundary condition, namely gender, between enterprise social media use and employees' social cyberloafing.

The purpose of this paper is to investigate why firms engaged in R&D investment and international diversification produce different results in innovation performance.

This study is based on a sample of 283 Taiwanese manufacturing firms in the information technology industry.

The findings showed that in the top management teams (TMTs) with greater tenure diversity there was a stronger relationship between R&D investment and innovation performance. In addition, the TMTs with greater educational diversity enhanced the relationship between international diversification and innovation performance.

This study stresses the vital role of TMT diversity in resource allocation and information processing during the process of innovation. The authors examined the critical role of TMT educational diversity in bringing a wider range of network resources and the role of TMT tenure diversity in the allocation of firm-specific resources. The TMT diversity causes firms to experience different innovation results during the innovation process.

The purpose of this paper is to incorporate the resource-based perspective with upper echelon theory to examine the effect of top management teams’ (TMTs) managerial resources on international diversification.

The authors sampled 360 listed companies in the USA that operated in the information technology industry in 2009, the year after the financial crisis.

The findings show that TMTs’ tenure has a negative impact on international diversification but international experience exerts a positive impact on international diversification. Furthermore, TMTs’ educational background diversity and international experience contribute to a reduction in the negative effect of tenure on international diversification.

Prior studies have investigated the role of TMT in international diversification, but they pay less attention to the interactive effect of the variety of managerial resources on international diversification. In particular, the authors examined the effect of a variety of management resources on the level of international diversification under the uncertain environment.

With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually introduced to domestic shipyards. The purpose of this study is to promote the lean management of Chinese ship outfitting plants by lean production strategy.

To promote the lean implementation of Chinese shipyards, the lean practice of ship-pipe part production is highlighted by lot-sizing optimization and strategic CONWIP (constant work-in-process) control. A nonlinear programming model is formulated to minimize the total cost of ship-pipe part manufacturing and the particle swarm optimization (PSO)-based algorithm is designed to resolve the established model. Besides, the pull-from-the-bottleneck (PFB) strategy is used to control ship-pipe part production, verified by Simulink simulation.

Results show that the proposed lean strategy of the programming model and strategic PFB control could assist Chinese ship outfitting plants to leverage competitive advantage by waste reduction and lean achievement. Specifically, the PFB double-loop control strategy shows better performance when there is high productivity and the PFB single-loop control outperforms at lower productivity scenarios.

To verify the effectiveness of the proposed lean strategy, a case study is performed to validate the formulated model. Also, simulation experiments realized by FlexSim software are conducted to testify results obtained by the constructed programming model.

Lean production management practice of the shipyard building industry is performed by the proposed lean production strategy through lot-sizing optimization and strategic PFB control in terms of ship-pipe part manufacturing.

The purpose of this study is to propose a comprehensive benchmarking approach to help subsidiaries of a company to implement continuous improvement (CI).

The proposed approach classifies subsidiaries of a company into the three stages of CI. After that, the proposed approach employs data envelopment analysis (DEA)-super slacks-based measure (SBM) model and Malmquist Productivity Index (MPI) to evaluate the operational efficiency of the subsidiaries and selects benchmarking targets and sets benchmarking goals based on the operational efficiency for benchmarking of input and output criteria. Then, the proposed approach suggests a four-step benchmarking process for benchmarking of detailed efficiency. Finally, the proposed approach makes the subsidiaries achieve CI by implementing the input and output benchmarking and the efficiency benchmarking.

The results show that the proposed approach can help subsidiaries of a company to implement a staged benchmarking which considers input and output criteria and Malmquist productivity and efficiency comprehensively.

Generally, benchmarking is implemented in many aspects. However, due to the restriction of a company’s resource level, a practical and staged benchmarking is preferred. This study proposes a comprehensive approach to benchmark systematically and gradually, and provides a more reasonable benchmarking process for implementing CI.

Prior studies have shown various mediating and moderating mechanisms regarding the effect of employees' perceived overqualification on intention to leave (ITL). Nonetheless, only a few empirical studies have shed light on the negative underlying processes that explain this relationship. Furthermore, less is known about the role of high-performance work systems (HPWSs) in the overqualification literature. Drawing upon relative deprivation theory (RDT), this research attempts to fill these gaps by examining the mediating role of work-related boredom and the moderating role of perceived HPWSs in the association between perceived overqualification and ITL.

Data from a sample of 188 employees working in a Greek manufacturing company were analyzed using the PROCESS macros for SPSS.

The results indicated that work-related boredom mediates the association between perceived overqualification and ITL. Moreover, HPWSs attenuated the relationship of perceived overqualification with both work-related boredom and ITL, such that their association was positive only when employees' perceptions of HPWSs were low.

This study adds to the existing literature regarding why and how perceived overqualification affects ITL. Even more, this is one of the first studies that examine the role of HPWSs in the literature of overqualification. Theoretical and practical implications were also considered.

Based on virtual maintenance, this paper aims to propose a time prediction method of assembly and disassembly (A&D) actions of product maintenance process to enhance existing methods’ prediction accuracy, applicability and efficiency.

First, a framework of A&D time prediction model is constructed, which describes the time prediction process in detail. Then, basic maintenance motions which can comprise a whole A&D process are classified into five categories: body movement, working posture change, upper limb movement, operation and grasp/placement. A standard posture library is developed based on the classification. Next, according to motion characteristics, different time prediction methods for each motion category are proposed based on virtual maintenance simulation, modular arrangement of predetermined time standard theory and the statistics acquired from motion experiment. Finally, time correction based on the quantitative evaluation method of motion time influence factors is studied so that A&D time could be predicted with more accuracy.

Case study of time prediction of products’ various A&D processes is conducted by implementing the proposed method. The prediction process of diesel cooling fan disassemble time is presented in detail. Through comparison, the advantages and effectiveness of the method are demonstrated.

This paper proposes a more accurate, efficient and applicable product A&D time prediction method. It can help designers predict A&D time of a product maintenance accurately in early design phases without a physical prototype. It can also provide basis for the verification of maintainability, the balance of the design of product structure and system layout.

The paper aims to propose a systematic approach for human factors (HFs) automatic evaluation for entire maintenance processes in virtual environment.

First, a maintenance process information model is constructed to map real maintenance processes into computer environment. Next, based on this information model, the automatic evaluation methods for visibility, operation comfort and reachability are presented. All evaluation results are weighted and added up to establish a comprehensive HFs evaluation model. Then, the methods mentioned above are realized as an HFs evaluation module, which is integrated into virtual maintenance simulation platform, software developed by our lab.

An application in HFs evaluation of repairing hydraulic motor on container spreader is implemented, and an on-site survey is carried out. The comparison between the result from the survey and the result we get using the presented methods shows that our solution can support HFs fast assessment accurately and effectively.

Through evaluating maintenance operation processes, engineers can better analyze and validate the maintainability design of complex equipment, and some potential ergonomic issues can be found and dealt earlier.

The paper contributes to present a systematic approach to achieve HFs fast and accurate evaluation for entire maintenance processes, rather than for a few maintenance postures.