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The intelligent connected vehicle (ICV) is an important trend in automobile development, but little research has been conducted on the technological differences in the ICV industry across countries. In this regard, the authors select China, the United States (US) and the European Union (EU) as countries with developed ICV industries to reveal these differences based on the perspective of subdivision technology.

The authors use logistic regression to fit lifecycles at technology level and country level based on ICV-related patents from China, the US and the EU, then use the Revealed Technological Advantage (RTA) index, Fast-Growing Specialization Index (FGSI) and International Patent Classification (IPC) numbers to conduct comparison of national technology advantages, finally use the social network analysis to investigate the evolution of characteristics and intermediate nodes of each technology innovation network.

Technology lifecycles vary according to the subdivision technology and country. The global development of the ICV industry has reached the mature stage, and 2030 may be a watershed moment, ushering in a wave of new technology iterations. In various subdivision technologies, China and the US have more leading RTAs, and China and the EU have more leading FGSIs. Innovation networks in different countries expand with technology lifecycles, with that in China being the fastest. China's Universities, the US's enterprises and the EU's research institutes are active in cooperative innovation as intermediaries.

This is the first study to compare the development of the ICV industry in major countries from the perspective of subdivision technology and reveal characteristics of innovation networks in each.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

The purpose of the paper is to advance a framework that can analyze the impact of the egocentric alliance network on firm ambidextrous innovation holistically. On this purpose, the framework involves and integrates structural holes (SH), alliance functional diversity (AFD) and alliance partner geographical diversity (APGD) that measure network characteristics from structural, relational and nodal perspectives, respectively.

The authors collected multi-source matching panel data including alliance deals, technical patents and financial information during 2000–2017 of the 106 top high-tech firms in the computer, communications, electronics and biopharmaceutical industries and conducted a three-way interaction model to uncover the complex mechanisms from a contingency perspective.

Empirical results show that SH as structural capital is positive to both exploitative and exploratory innovation. Both AFD as relational capital and APGD as cognitive capital positively moderate the SH-exploitative innovation nexus rather than the SH-exploratory innovation nexus. APGD and AFD co-moderate the relationship between SH and firm ambidextrous innovation in the way that when APGD and AFD are both high, SH has the strongest positive impacts on firm exploitative and exploratory innovation.

This research provides new insights into the benefit-cost paradox of the structural brokerage position (SH) by uncovering relational (AFD) and nodal (APGD) network characteristics that impact the trade-off. Also, it contributes to social capital theory by differentiating three dimensions of network capital (structural, relational and cognitive capital) and integrating them into ambidextrous innovation research. Finally, the findings give firms enlightenment to configure their egocentric alliance network for innovation ambidexterity.

This study investigated four different economic level areas of China (Shanghai, Shandong, Shaanxi, and Guizhou) to analyze the eastern and western urban and rural media service status at different development stages. This set of data comes from the comparison of regional urban and rural areas and indicates the various aspects of differences in the survey area, including the media use habits, media resources, media consumer demand, evaluation of media services, the role of media in public life, public knowledge level, and so on. On analyzing data comprehensively, one thing can be found that there is a positive correlation between the public media contact degree and the public knowledge level. The media plays an extremely important role in public life and regional public knowledge gap between urban and rural areas exists. Furthermore, this gap is positively correlated to the media resources and media exposure. The trend of media using on mobile phone and computer in urban areas increases significantly greater than in rural areas. Then, how to narrow the urban–rural and regional public knowledge gap and reduce the negative impact of the digital divide will be an important urgent task.

In order to systematically grasp the changes and matching characteristics of wheel and rail profiles of high speed railway (HSR) in China, 172 rail profile measurement points and 384 wheels of 6 high-speed electric motive unites (EMUs) were selected on 6 typical HSR lines, including Beijing–Shanghai, Wuhan–Guangzhou, Harbin–Dalian, Lanzhou–Xinjiang, Guiyang–Guangzhou and Dandong–Dalian for a two-year field test.

Based on the measured data, the characteristics of rail and wheel wear were analyzed by mathematical statistics method. The equivalent conicity of wheel and rail matching in a wheel reprofiling cycle was analyzed by using the measured rail profile.

Results showed that when the curve radius of HSR was larger than 2,495 m, the wear rate of straight line and curve rail was almost the same. For the line with annual traffic gross weight less than 11 Mt, the vertical wear of rail was less than 0.01 mm. The wear rate of the rail with the curve radius less than 800 m increased obviously. The wheel tread wear of EMUs on Harbin–Dalian line, Lanzhou–Xinjiang line and Dandong–Dalian line was relatively large, and the average wear rate of tread was about 0.05–0.06 mm·(10,000 km)⁻¹, while that of Beijing–Shanghai line, Wuhan–Guangzhou line and Guiyang–Guangzhou line was about 0.03–0.035 mm·(10,000 km)⁻¹. When the wear range was small, the equivalent conicity increased with the increase of wheel tread wear. When the wear range of wheel was wide, the wheel–rail contact points were evenly distributed, and the equivalent conicity did not increase obviously.

This research proposes the distribution range of the equivalent conicity in one reprofiling cycle of various EMU trains, which provides guidance for the condition-based wheel reprofiling.

Organic coatings are one of the most widely applied methods for corrosion protection of metallic materials such as the tubing used in sour gas field. However, such coatings usually encounter the risk of failure due to the harsh and complex environment. Therefore, the study of failure of the organic coating is highly significant.

In this paper, the effects of Cl-concentration, HCl content, hydrogen sulfide/carbon dioxide (H₂S/CO₂), temperature and flow rate on the failure of epoxy-phenolic coating on the internal surface of BG90S steel tubing were investigated using adhesion force measurement, metallographic microscope, electrochemistry impedance spectroscopy and Fourier transform infrared spectroscopy.

The results show that the Cl-concentration, HCl content and H₂S/CO₂ do not affect the failure process too much as the ion concentration increased. However, the flow rate at the high temperature is the most important factor affecting the corrosion resistance of the inner coating tubing. With the increase of the flow rate, the pore resistance of the coating shows a decreasing trend, and the rate of decrease in pore resistance is first rapid and then slow. It demonstrates that the penetration speed of the electrolyte solution into the coating varied from fast to slowly. A weakening influence of the flow rate on the penetration failure of the inner coating can be found as the increase of the flow rate. Once the HS-ions penetrate through the coating and reach at the coating/steel interface where H₂ could be formed through the adsorption reaction, the coating failure occurs.

The failure of the coating depends on the penetration rate of water and ions, with the presence of exposed or punctured holes is accelerated and HS- was adsorpted by substrate Fe, and form H2 molecules between the coatings and substrate, that results failure of coatings.

Previous studies have examined the emotional mechanism between perceived overqualification and knowledge hiding. Based on a relational perspective, this study aims to draw on social comparison theory to reveal the cognitive mechanism of perceived overqualification on knowledge hiding, along with the mediating effect of relational identification. This research conceptualizes perceived overqualification differentiation and reveals the moderating effect of perceived overqualification differentiation on strengthening the link between perceived overqualification and knowledge hiding.

This paper conducts two times lagged research, addresses a sample of 216 employees nested in 47 groups from technology or R&D industries and uses structural equation modeling to test an original model.

The results show that perceived overqualification positively affects knowledge hiding; relational identification mediates this relationship; perceived overqualification differentiation moderates the effect of perceived overqualification on relational identification as well the indirect effect of perceived overqualification on knowledge hiding via relational identification.

This paper shows the cognitive mechanism of perceived overqualification on knowledge hiding. Moreover, this study also extends current perceived overqualification literature from a single individual level/a dyad level to a complex team level by conceptualizing the perceived overqualification differentiation. The research findings are helpful to guide team talent management and knowledge management in business management practice.

Rotating machinery is a crucial component of large equipment, and detecting faults in it accurately is critical for reliable operation. Although fault diagnosis methods based on deep learning have been significantly developed, the existing methods model spatial and temporal features separately and then weigh them, resulting in the decoupling of spatiotemporal features.

The authors propose a spatiotemporal long short-term memory (ST-LSTM) method for fault diagnosis of rotating machinery. The authors collected vibration signals from real rolling bearing and gearing test rigs for verification.

Through these two experiments, the authors demonstrate that machine learning methods still have advantages on small-scale data sets, but our proposed method exhibits a significant advantage due to the simultaneous modeling of the time domain and space domain. These results indicate the potential of the interactive spatiotemporal modeling method for fault diagnosis of rotating machinery.

The authors propose a ST-LSTM method for fault diagnosis of rotating machinery. The authors collected vibration signals from real rolling bearing and gearing test rigs for verification.

Drawing upon ego depletion theory, the authors developed a serial mediation model linking job insecurity with employee political behavior in which resource depletion and moral disengagement operated as two sequential mediators. The authors further identified employee moral identity as an important boundary condition that impacts the strength of this serial mediation effect.

Multilevel analyses were utilized to test the proposed hypotheses by analyzing a sample included 306 employees nested in 71 groups.

Results revealed that job insecurity induced resource depletion that activated moral disengagement, which in turn instigated political behavior. Furthermore, employee moral identity weakened this serial indirect effect. Specifically, this indirect effect was positive when moral identity was low, whereas did not present when moral identity was high.

Prior studies have primarily concentrated on the detrimental effects of job insecurity. However, less study has investigated how individuals proactively cope with job insecurity. The authors contribute to this stream of research by exploring whether and how job insecurity facilitates employee political behavior.

Based on the work–home resources model regarding the work domain and the home domain as a whole resource exchange system with directional resource flows, this study proposed that perceived overqualification could lead to personal resources drain, especially for employees with high work–family centrality (i.e. valuing work more than family). Furthermore, the drained personal resources of the focal employees brought in more spouse undermining and less spouse support at home.

A quantitative approach in which Study 1 involving 259 pairs and Study 2 involving 260 pairs of employees and their spouses from China provided support to the first-stage moderated mediation model.

Results revealed that when employees' work–family centrality is high, perceived overqualification could elicit personal resources drain and induce more spouse undermining and less spouse support. On the contrary, when employees' work–family centrality is low, perceived overqualification could reduce personal resources drain and render less spouse undermining and more spouse support. The two studies consistently provided support for most of the hypotheses.

The research results suggest that organizations could take some feasible measures to help overqualified employees articulate the value of work–family centrality to manage overqualified employees' work–family resources further, bringing appropriate sequential behaviors at home.

Research on perceived overqualification has primarily focused on its consequences in the work domain, paying scant attention to whether it can influence the home domain outside work. This research contributes to this line of literature by investigating how and when perceived overqualification leads to family outcomes.