Kemin Li, Zhifu Huang, Hanwen Ma, Shaofei Wang, Chaofeng Qin and Pengcheng Liu
The purpose of this study was to investigate the tribological properties of bulk Fe2B with pre-oxidation treatment.
Abstract
Purpose
The purpose of this study was to investigate the tribological properties of bulk Fe2B with pre-oxidation treatment.
Design/methodology/approach
Bulk Fe2B was oxidized in an electric box furnace with a soaking time of 9 min under 750°C in air. Then, the tribological experiments were carried out on an UMT-Tribolab tester.
Findings
The oxide layer was composed of Fe, Fe2O3, Fe3O4, B2O3 and H3BO3. The oxidative direction of bulk Fe2B was perpendicular to the sample surface. But, the oxidative direction of Fe2B crystals was irregular. At 0.1 m/s, the friction coefficient was the lowest. The effects of shortening the running-in period of friction and reducing the friction coefficient by pre-oxidation treatment at 0.1 m/s were remarkable. Nevertheless, the effect of pre-oxidation treatment was futile at 0.2 m/s. Wear mechanisms of oxidized Fe2B mainly were adhesive and abrasive wear.
Originality/value
The effects of shortening the running-in period of friction and reducing the friction coefficient by pre-oxidation treatment were remarkable.
Details
Keywords
Chuanyan Qin, Pengcheng Wang and Shanshi Liu
Outsourcing has become a crucial avenue for companies to acquire external knowledge. To better understand how dual organizational supports influence the knowledge sharing behavior…
Abstract
Purpose
Outsourcing has become a crucial avenue for companies to acquire external knowledge. To better understand how dual organizational supports influence the knowledge sharing behavior of outsourced employees within triangular employment relationships, grounded in social exchange theory, this study explores the effect and mechanism of differentiation in perceived organizational support (DPOS) on knowledge sharing of outsourced employees.
Design/methodology/approach
A two-wave survey was conducted to test the hypotheses, and data were collected from 271 outsourced employees and their leaders (from client organizations) in 52 interorganizational teams.
Findings
Results show that DPOS positively affect the knowledge sharing of outsourced employees and has a stronger predictive value than that of client organizational support. Outsourced employees’ psychological ownership to the interorganizational team mediates this relationship. Task interdependence plays a positive cross-hierarchy moderating role in the relationship between DPOS and psychological ownership to the interorganizational team.
Practical implications
This research provides practical advice for support strategies of client and supplier organizations.
Originality/value
Results provide further understanding for outsourced employees’ psychological and behavioral mode in triangular employment contexts.
Details
Keywords
Pengcheng Wang, Chuanyan Qin and Shanshi Liu
How to manage outsourced employees in interorganizational teams with triangular relationships has not yet attracted enough attention. Based on relative deprivation theory, this…
Abstract
Purpose
How to manage outsourced employees in interorganizational teams with triangular relationships has not yet attracted enough attention. Based on relative deprivation theory, this study explores how relative deprivation affects outsourced employees’ innovative behavior and investigates the complex moderating effects of dual organizational support.
Design/methodology/approach
The authors tested their hypothesis by conducting a two-wave survey; responses to a questionnaire were collected from 283 outsourced employees and their managers among 52 client organizations.
Findings
Results found that relative deprivation negatively influences the outsourced employees’ innovative behavior by eliciting their perceptions of status conflict. Support from client (supplier) organization attenuates (aggravates) the positive impact of relative deprivation on innovative behavior throughout status conflict. The moderating effect of client organizational support was moderated by support from supplier organization.
Research limitations/implications
The authors selected the outsourced employees in a Chinese context to conduct this study, and the results need to be generalized in future research.
Practical implications
Client organizational support can alleviate the negative effect of relative deprivation on outsourced employees, whereas supplier organization support aggravates the negative effect; managers should pay attention to the different effects of the two organizations’ support and provide reasonable support for outsourced employees.
Originality/value
This study identified the mechanism of relative deprivation’s effect on outsourced employees’ innovative behavior from the perspective of interpersonal interaction and compared the effect of support from dual organizations. This study expands the research on triangular relationships, relative deprivation, status conflict and other field.
Details
Keywords
Hui Ma, Shenglan Chen, Xiaoling Liu and Pengcheng Wang
To enrich the research on the economic consequences of enterprise digital development from the perspective of capacity utilization.
Abstract
Purpose
To enrich the research on the economic consequences of enterprise digital development from the perspective of capacity utilization.
Design/methodology/approach
Using a sample of listed firms from 2010 to 2020, this paper exploits text analysis of annual reports to construct a proxy for enterprise digital development.
Findings
Results show that enterprise digital development not only improves their own capacity utilization but also generates a positive spillover effect on the capacity utilization of peer firms and firms in the supply chain. Next, based on the incomplete information about market demand and potential competitors when making capacity-building decisions, the mechanism tests show that improving the accuracy of market forecasts and reducing investment surges are potential channels behind the baseline results. Cross-sectional tests show the baseline result is more pronounced when industries are highly homogeneous and when firms have access to less information.
Originality/value
This paper contributes to the research related to the economic consequences of digital development. With the development of the digital economy, the real effects of enterprise digital development have also triggered extensive interest and exploration. Existing studies mainly examine the impact on physical operations, such as specialization division of labor, innovation activities, business performance or total factor productivity (Huang, Yu, & Zhang, 2019; Yuan, Xiao, Geng, & Sheng, 2021; Wang, Kuang, & Shao, 2017; Li, Liu, & Shao, 2021; Zhao, Wang, & Li, 2021). These studies measure the economic benefits from the perspective of the supply (output) side but neglect the importance of the supply system to adapt to the actual market demand. In contrast, this paper focuses on capacity utilization, aimed at estimating the net economic effect of digital development by considering the supply-demand fit scenario. Thus, our findings enrich the relevant studies on the potential consequences of digital development.
Details
Keywords
Mingxiao Dai, Xu Peng, Xiao Liang, Xinyu Zhu, Xiaohan Liu, Xijun Liu, Pengcheng Han and Chao Wu
The purpose of this paper is to propose a DC-port voltage balance strategy realizing it by logic combination modulation (LCM). This voltage balance strategy is brief and high…
Abstract
Purpose
The purpose of this paper is to propose a DC-port voltage balance strategy realizing it by logic combination modulation (LCM). This voltage balance strategy is brief and high efficient, which can be used in many power electronic devices adopting the cascaded H-bridge rectifier (CHBR) such as power electronic transformer (PET).
Design/methodology/approach
The CHBR is typically as a core component in the power electronic devices to implement the voltage or current conversion. The modulation method presented here is aiming to solve the voltage imbalance problem occurred in the CHBR with more stable work station and higher reliability in ordinary operating conditions. In particular, by changing the switch states smoothly and quickly, the DC-port voltage can be controlled as the ideal value even one of the modules in CHBR is facing the load-removed problem.
Findings
By using the voltage balance strategy of LCM, the problem of voltage imbalance occurring in three-phase cascaded rectifiers has been solved properly. With the lower modulation depth, the efficiency of the strategy is shown to be better and stronger. The strategy can work reliably and quickly no matter facing the problem as load-removed change or the ordinary operating conditions.
Research limitations/implications
The limitation of the proposed DC-port voltage balance strategy is calculated and proved, in a three-module CHBR, the LCM could balance the DC-port voltage while one module facing the load-removed situation under 0.83 modulation depth.
Originality/value
This paper provides a useful and particular voltage balance strategy which can be used in the topology of three-phase cascaded rectifier. The value of the strategy is that a brief and reliable voltage balance method in the power electronic devices can be achieved. What is more, facing the problem, such as load-removed, in outport, the strategy can response quickly with no switch jump and switch frequency rising.
Details
Keywords
Mingze Li, Wenxing Liu, Yi Han and Pengcheng Zhang
The purpose of this paper is to build a link between empowering leadership and change-oriented organizational citizenship behavior (OCB) based on the theory of the socially…
Abstract
Purpose
The purpose of this paper is to build a link between empowering leadership and change-oriented organizational citizenship behavior (OCB) based on the theory of the socially embedded model so as to explore why empowering leadership has an impact on change-oriented OCBs and for whom this effect may be amplified or alleviated.
Design/methodology/approach
Using data collected from 203 employees and 80 supervisors in one information technology company, the authors examined the mediating role of thriving at work and the moderating role of autonomy between empowering leadership and change-oriented OCBs. The authors used statistical methods such as hierarchical regression, bootstrapping test, and so on to analyze the data.
Findings
The results indicated that empowering leadership was positively related to thriving at work, and thus in turn influenced change-oriented OCBs. In addition, employees’ autonomy orientation moderated those relationships such that when employees were had high autonomy orientations, they thrived at work to a high degree and were more likely to perform change-oriented OCBs.
Research limitations/implications
The authors collected the data of this study within a single organization, and that may limit the observed viability and decrease external validity.
Practical implications
The findings suggest that leaders’ empowering behaviors are a critical factor for simulating employees’ change-oriented OCBs. They also indicate that leaders are better off empowering individuals with high autonomy orientations.
Originality/value
This study contributes to the literature by linking empowering leadership and change-oriented OCBs. It clarifies how and why empowering leadership can stimulate employees’ change-oriented OCBs.
Details
Keywords
Pengcheng Li, Qikai Liu, Qikai Cheng and Wei Lu
This paper aims to identify data set entities in scientific literature. To address poor recognition caused by a lack of training corpora in existing studies, a distant supervised…
Abstract
Purpose
This paper aims to identify data set entities in scientific literature. To address poor recognition caused by a lack of training corpora in existing studies, a distant supervised learning-based approach is proposed to identify data set entities automatically from large-scale scientific literature in an open domain.
Design/methodology/approach
Firstly, the authors use a dictionary combined with a bootstrapping strategy to create a labelled corpus to apply supervised learning. Secondly, a bidirectional encoder representation from transformers (BERT)-based neural model was applied to identify data set entities in the scientific literature automatically. Finally, two data augmentation techniques, entity replacement and entity masking, were introduced to enhance the model generalisability and improve the recognition of data set entities.
Findings
In the absence of training data, the proposed method can effectively identify data set entities in large-scale scientific papers. The BERT-based vectorised representation and data augmentation techniques enable significant improvements in the generality and robustness of named entity recognition models, especially in long-tailed data set entity recognition.
Originality/value
This paper provides a practical research method for automatically recognising data set entities in scientific literature. To the best of the authors’ knowledge, this is the first attempt to apply distant learning to the study of data set entity recognition. The authors introduce a robust vectorised representation and two data augmentation strategies (entity replacement and entity masking) to address the problem inherent in distant supervised learning methods, which the existing research has mostly ignored. The experimental results demonstrate that our approach effectively improves the recognition of data set entities, especially long-tailed data set entities.
Details
Keywords
Li Xuemei, Benshuo Yang, Yun Cao, Liyan Zhang, Han Liu, Pengcheng Wang and Xiaomei Qu
China's marine economy occupies an important position within the national economy, and its contribution thereto is constantly improving. The overall operation of the marine…
Abstract
Purpose
China's marine economy occupies an important position within the national economy, and its contribution thereto is constantly improving. The overall operation of the marine economy shows positive developmental trends with potential for further growth. The purpose of this research is to analyse the prosperity of China's marine economy, reveal trends therein and forecast the likely turning point in its operation.
Design/methodology/approach
Based on the periodicity and fluctuation of China's marine economy development, China's marine economic prosperity indicator system is established from five perspectives. On this basis, China's marine economic operation prosperity index can be synthesised and calculated, then a dynamic factor model is constructed. Using the filtering method to calculate China's marine economic operational Stock–Watson index, Markov switching has been used to determine the trend to transition. Furthermore, China's current marine economic prosperity is evaluated through analysis of influencing factors and correlation analysis.
Findings
The analysis shows that, from 2017 to 2019, the operation of the marine economy is relatively stable, and the prosperity index supports this finding; meanwhile it also exposes problems in China's marine economy, such as an unbalanced industrial structure, low marine economic benefits and insufficient capacity for sustainable development.
Originality/value
Through the analysis of the prosperity of China's marine economy, the authors reveal the trends in China's marine economy and forecast its likely future turning point.
Details
Keywords
Jeen Guo, Pengcheng Xiang, Qiqi Liu and Yun Luo
The purpose of this paper is to propose a method that can calculate the transportation infrastructure network service capacity enhancement given by planned transportation…
Abstract
Purpose
The purpose of this paper is to propose a method that can calculate the transportation infrastructure network service capacity enhancement given by planned transportation infrastructure projects construction. Managers can sequence projects more rationally to maximize the construction effectiveness of infrastructure investments.
Design/methodology/approach
This paper designed a computational network simulation software to generate topological networks based on established rules. Based on the topological networks, the software simulated the movement path of users and calculated the average travel time. This software allows the adjustment of parameters to suit different research objectives. The average travel time is used as an evaluation index to determine the most appropriate construction sequence.
Findings
In this paper, the transportation infrastructure network of Sichuan Province in China was used to demonstrate this software. The average travel time of the existing transportation network in Sichuan Province was calculated as 211 min using this software. The high-speed railways from Leshan to Xichang and from Xichang to Yibin had the greatest influence on shortening the average travel time. This paper also measured the changes in the average travel time under two strategies: shortening the maximum and minimum priorities. All the transportation network optimisation plans for Sichuan Province will be somewhere between these two strategies.
Originality/value
The contribution of this research are three aspects: First, a complex network analysis method that can take into account the differences of node elements is proposed. Second, it provides an effective tool for decision makers to plan transportation infrastructure construction. Third, the construction sequence of transportation infrastructure development plan can effect the infrastructure investment effectiveness.
Details
Keywords
Managers of megaprojects face social risk management challenges throughout the various design, construction, and operation stages, owing to the various conflicts of interest among…
Abstract
Purpose
Managers of megaprojects face social risk management challenges throughout the various design, construction, and operation stages, owing to the various conflicts of interest among stakeholders, public skepticism, and opposition. However, most existing studies have not focused on the dynamic analysis of integrating social risks in these stages. This study developed a dynamic analysis approach to explore the dynamics of critical social risk factors and related stakeholders of megaprojects and built the managerial maps for various stakeholders.
Design/methodology/approach
Based on the social analysis network (SNA), a dynamic network analysis approach for understanding the dynamics of social risk and related stakeholders has been developed by literature and case analysis. The approach comprises the following steps: (1) generating social risk–stakeholder networks in different stages; (2) analysis of the critical stakeholders and social risk factors; (3) dynamic analysis of social risk factors; and (4) developing social risk management maps for various stakeholders. To verify the feasibility and effectiveness of the approach, 40 megaprojects from China were analyzed.
Findings
According to the results, the local government is a critical stakeholder during all stages, inadequate information promotion (IIP) and imperfect communication and coordination mechanism (ICCM) are key social risk sources throughout the megaproject life cycle. Furthermore, the management maps for government organizations, project implementation groups, and external stakeholders were constructed.
Originality/value
This research has three contributions. First, a dynamic analysis approach of stakeholder-associated social risks in megaprojects is developed, which enriches the social risk management theory of megaprojects and provides inspiration for future research focus. Second, the social risk–stakeholder networks and critical social risks in different stages are confirmed to provide a more valid and accurate picture of social risk management in megaprojects. Third, the social risk managerial maps for different stakeholders built in this research will be beneficial for governments, project implementation groups, and external stakeholders to optimize management strategies.