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Social networking services (SNS) empower users with a robust capability to connect with others and manage their social relationships. However, as the size of users’ social networks increases, coupled with the inherent boundary-spanning technical features of SNS, users are faced with unprecedented role stresses. This, in turn, leads to maladaptive lurking decisions. This study delves into the mechanism of this technology-induced decision-making process among SNS users.

Survey data were collected from 491 Chinese WeChat Moment users. The model and hypotheses testing were conducted using SmartPLS 4.0.

Our findings indicate that both social network size and boundary spanning have a positive influence on role conflict and role overload. Both role conflict and role overload significantly contribute to SNS fatigue, which further intensifies users’ lurking intention. Furthermore, SNS fatigue fully mediated the relationship between role conflict and lurking intention, and partially mediated the relationship between role overload and lurking intention.

Our study offers a fresh viewpoint for comprehending lurking behaviors on SNS, furnishing practical insights for platform providers. Additionally, it paves the way for future research into the deeper mechanisms driving SNS lurking behaviors, by providing a novel construct (i.e. boundary spanning) to distinguish and measure the unique social environment of SNS.

The smoothness of the high-speed railway (HSR) on the bridge may exceed the allowable standard when an earthquake causes vibrations for HSR bridges, which may threaten the safety of running trains. Indeed, few studies have evaluated the exceeding probability of rail displacement exceeding the allowable standard. The purposes of this article are to provide a method for investigating the exceeding probability of the rail displacement of HSRs under seismic excitation and to calculate the exceeding probability.

In order to investigate the exceeding probability of the rail displacement under different seismic excitations, the workflow of analyzing the smoothness of the rail based on incremental dynamic analysis (IDA) is proposed, and the intensity measure and limit state for the exceeding probability analysis of HSRs are defined. Then a finite element model (FEM) of an assumed HSR track-bridge system is constructed, which comprises a five-span simply-supported girder bridge supporting a finite length CRTS II ballastless track. Under different seismic excitations, the seismic displacement response of the rail is calculated; the character of the rail displacement is analyzed; and the exceeding probability of the rail vertical displacement exceeding the allowable standard (2mm) is investigated.

The results show that: (1) The bridge-abutment joint position may form a step-like under seismic excitation, threatening the running safety of high-speed trains under seismic excitations, and the rail displacements at mid-span positions are bigger than that at other positions on the bridge. (2) The exceeding probability of rail displacement is up to about 44% when PGA = 0.01g, which is the level-five risk probability and can be described as 'very likely to happen'. (3) The exceeding probability of the rail at the mid-span positions is bigger than that above other positions of the bridge, and the mid-span positions of the track-bridge system above the bridge may be the most hazardous area for the running safety of trains under seismic excitation when high-speed trains run on bridges.

The work extends the seismic hazardous analysis of HSRs and would lead to a better understanding of the exceeding probability for the rail of HSRs under seismic excitations and better references for the alert of the HSR operation.

This paper aims to put forward a kind of new method of intelligent trust engineering metrics for application of mobile ad hoc network (MANET).

The new method calculates the communication trust by using the number of data packets among the nodes of MANET, predicts intelligently the trust and calculates the comprehensive trust based on the historical trust; then calculates the energy trust based on the residual energy of the nodes of MANET, calculates the direct trust based on the communication trust and energy trust. The new method calculates the recommendation trust based on the recommendation reliability; adopts the adaptive weighting to calculate the integrated direct trust by considering the direct trust with recommendation trust.

Based on the integrated direct trust and the factor of trust propagation distance, the indirect trust among the nodes of MANET is calculated. The above process can be optimized based on the dynamic machine learning presented in this study. The advantage of the new method is its intelligent ability to discover malicious nodes.

The advantage of the new method is its intelligent ability to discover malicious nodes which can partition the network by falsely reporting other nodes as misbehaving and proceeds to protect the network. The authors have done the experiments based on the tool kits such as NS3, QualNet, OMNET++ and MATLAB. The experimental results show that this study’s approach can effectively avoid the attacks of malicious nodes, and more conformable to the actual engineering application of MANET.

To cope with climate change and achieve the dual carbon goal, China has actively promoted the implementation of carbon trading pilot policy, among which the power industry plays an important role in China’s carbon emission reduction work. The purpose of this paper is to study the influence of carbon trading policy on the energy efficiency of power industry and achieve the comprehensive goal of carbon emission reduction, carbon peak and carbon neutralization.

This paper constructs the difference-in-differences model based on 2012–2019 provincial data to study the impact of carbon trading policy on energy efficiency in the power industry and its effect path. Heterogeneity analysis was conducted to compare the effects of carbon trading policy in eastern, central and western regions as well as at different levels of power structures.

Carbon trading policy can significantly improve the energy efficiency of the power industry, and the policy effect is more significant in eastern and western regions and areas with high power structure. Mechanism analysis shows that carbon trading policy mainly influences the energy efficiency of power industry by environmental protection investment, power consumption demand and industrial structure.

This paper uses provincial panel data to deeply study the influence of carbon trading policy on energy efficiency of the power industry and its effect path. By constructing the difference-in-differences model, this paper empirically analyzes the governance effect of carbon trading policy. Meanwhile, it controls individual and time effects to solve the endogeneity problem prevalent in previous literature.

The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

By establishing a rural household decision-making model based on the transfer market of farmland operation rights, this paper systematically analyzes the effects of land transfer-in and land transfer-out on the productivity (per labor income) of rural households. The authors conducted basic regression analysis and robustness tests using propensity score-matching and proxy variable approaches based on the micro survey data from rural households in 30 counties in 21 provinces/municipalities/autonomous regions in 2013.

After the completion of land transfer, the total productivity of rural households transferring in lands will increase with an increase in the agricultural productivity; the total productivity of rural households transferring out land will increase due to a rise in non-agricultural productivity and the absolute total productivity of rural households not involved in land transfer will remain unchanged.

Unlike previous literature, this paper discusses the impacts of land transfer-in and transfer-out on total productivity, agricultural productivity and non-agricultural productivity among various rural households (i.e. those transferring in land, transferring out land or which are self-sufficient).

Prior research treated entrepreneurs’ actions as purely opportunistic and voluntary, excluding social and economic systems’ influence on entrepreneurial actions. However, the applications of communication strategies, project management and social network are anchored in socioeconomic systems in which the entrepreneurs are rooted. To address the gap, this study aims to articulate – through the prism of institutional theory – how restaurant crowdfunding (CF) success is affected by socioeconomic prosperity according to entrepreneurs’ race and geographic area.

The current study analyzed 2,008 restaurant CF projects launched in the USA through the Kickstarter platform from 2010 to 2020. By conducting one-way analysis of variance and multilevel mixed-effect logistic regression models, this study examined the relative socioeconomic prosperity and CF success according to the race of the restaurant entrepreneurs. The study also examined how socioeconomic prosperity affected CF success and how that relationship was moderated by the entrepreneurs’ level of restaurant experience.

This study finds that relative socioeconomic prosperity and CF success does differ according to race. Also in the CF context, lower socioeconomic prosperity does impede fundraising success. While the level of restaurant experience significantly increased an entrepreneur’s CF success, the impact was not so significant as to overcome the impact of socioeconomic prosperity.

Drawing on institutional theory, this study examines the impact of socioeconomic prosperity on CF project outcomes. By uncovering the significant impact of socioeconomic systems on CF success, this study fills the research gap. Previous studies have generally treated minority entrepreneurs as an aggregated form. The authors’ results extend the literature by including major ethnic groups – whites, African Americans and Asians.

The findings of the current study show restaurant entrepreneurs can raise the likelihood of CF success by doing two things: first, accumulate experience in the restaurant industry; second, use their CF websites to highlight testimonials about the value of that experience. Federal, state and local governments can institute policies to help improve racial minorities’ socioeconomic conditions and thereby promote startups’ fundraising success.

To the best of the authors’ knowledge, this study is one of the first to examine unexplored institutional effect on CF outcomes. It examines how and why socioeconomic factors affect minority entrepreneurs’ funding success. It compares the prosperity and CF success of white, African American and Asian entrepreneurs.

Studies on titanium implants have shown that the mechanical properties of the parts are affected by the microstructure characteristic derived from the manufacturing process. The properties of different orientations of specimens under the same process parameters will be different, which should be considered in the application of bone implants. This paper aims to understand the influence of microstructure on micro-hardness, wear and corrosion resistance in different orientations.

The authors manufactured titanium parts and carried out micro-hardness, wear tests and electrochemical corrosion of different orientations under the same process conditions. Then, finally studied the evolution mechanism of the microstructure in different orientations and its influence mechanism on wear and corrosion mechanism.

The melting method makes the grains on the surface in XY orientation finer. The wear mechanism of XY orientation is abrasive wear, that of XZ and YZ orientations are adhesive wear. During corrosion, XY orientation forms a stable passivation film earlier. Compared with XZ and YZ orientations, XY orientation has higher micro-hardness, better wear and corrosion resistance.

In this paper, the microstructure, wear and corrosion resistance of selective laser melted parts were discussed and the differences in different orientations under the same experimental conditions were discussed. The evolution mechanism of the microstructure in different orientations and its influence mechanism on wear mechanism and corrosion mechanism was studied. The mechanical anisotropy of selective laser melted components was discussed.

The purpose of this paper is to provide comprehensive analysis and understanding of lean construction (LC) and to help researchers to find new gaps and research opportunities and develop potential collaboration chances.

The bibliographic data were obtained in peer-reviewed journals. The science mapping analysis and social network analysis (SNA) were used to conduct the analysis and visualization. Science mapping was performed to identify the research topics, evolution and the relationships between these topics. Also, the most influential LC-related articles in each topic were identified based on the concept of H-classics. SNA was also used to explore the collaboration status of authors and to identify the core authors in the LC field.

The results showed that topics in the LC field are consistently and continuously changing, which also reveals the fact that the lean concept system has evolved over time to a certain extent. The topics that could form the knowledge base of the LC research field in the future are related to two thematic areas: supply chain management (SCM) and planning and scheduling. SCM focuses on developing a system where supplier and client work together in coordination to deliver materials, works, equipment and labor and other resources. Moreover, prefabrication is a new hot topic, while BIM is a well-developed and isolated topic in the last five years. This result indicates that more studies need to be conducted in the future, to promote the integration of BIM and lean practices in the construction phase, as well as to explore the value of BIM in the reduction or elimination of waste and lean project delivery. As for global collaborations, LC research has been widely pursued throughout the world. The USA and the UK play the most dominant role in the international collaboration network.

Since the analysis of data takes some time, the specific results of this paper are limited to articles published in peer-reviewed journals, which leads to a certain degree of research lag.

This paper provides insights (such as major journals, institutions, key scholars, the evolution of topics, highly indexed articles and the new LC trends in the last five years) for researchers in the LC field.

This paper gives a general review of the above-mentioned literature, including the number of LC-related articles published in each year, as well as the major journals and main contributors to the field of LC.

Online communities are increasingly important for organizations and marketers. However, the issue of how structural features of online communities affect consumers' behavioral engagement remains relatively unexplored. The purpose of this study is to examine how and why different types of interdependence within online communities (i.e. task/outcome interdependence) influence individual engagement in group activities, thereby providing insights regarding online community design.

Two surveys were conducted with two online groups in China. One is a task-interdependent group from Douban Forum, and the other is an outcome-interdependent group from Sina Forum. A total of 159 valid responses from the task-interdependent group and 162 valid responses from the outcome-interdependent group were received. We analyzed the data using multivariate regression with Smart PLS and SPSS.

The results reveal that both task and outcome interdependence are positively related to individual behavioral engagement in online group behavior, and collective efficacy mediates the aforementioned effects. In addition, task complexity moderates the relationship between task interdependence and individual behavioral engagement; communication within group moderates the relationship between outcome interdependence and behavioral engagement, and the effect is mediated by collective efficacy.

This study is the first to investigate the role of an important factor of group structure, namely, interdependence, in fueling individual behavioral engagement in online communities. The results shed light on companies' design strategies to develop and retain online community members and also provide important insights for researchers interested in social network marketing.

This paper aims to study the impact of the interactive effect of knowledge characteristics – tacitness, specificity and availability – and resource structure – complementarily and asymmetric – on learning race behavior among international joint venture (IJV) partners in China.

Preliminary in-depth interviews with three IJV managers were conducted to develop and evaluate the tentatively developed questionnaire. The finalized survey questionnaire was distributed to middle and top-level managers of IJVs, resulting in a total of 124 usable surveys. The psychometric properties of data were evaluated using Cronbach’s alpha and confirmatory factor analysis and hypotheses were tested using a generalized linear model.

The results show that partners in IJV have low tendencies to acquire tacit and specific knowledge, but, when the resource is complementary, it stimulates the learning race. Also, when resources are asymmetric, IJV partners engage in the learning race more aggressively, particularly for highly specific knowledge. The situation reverses for highly available knowledge.

The findings provide important insights for both researchers and managers on knowledge characteristics and resource structure influencing learning race behavior. This insight allows firms to leverage features of knowledge and resource conditions to prevent or facilitate the learning race for either common or private interests.