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As the role of AI on human teams shifts from a tool to a teammate, the implementation of AI teammates into knowledge-intensive crowdsourcing (KI-C) contest teams represents a forward-thinking and feasible solution to improve team performance. Since contest teams are characterized by virtuality, temporality, competitiveness, and skill diversity, the human-AI interaction mechanism underlying conventional teams is no longer applicable. This study empirically analyzes the effects of AI teammate attributes on human team members’ willingness to adopt AI in crowdsourcing contests.

A questionnaire-based online experiment was designed to perform behavioral data collection. We obtained 206 valid anonymized samples from 28 provinces in China. The Ordinary Least Squares (OLS) model was used to test the proposed hypotheses.

We find that the transparency and explainability of AI teammates have mediating effects on human team members’ willingness to adopt AI through trust. Due to the different tendencies exhibited by members with regard to three types of cognitive load, nonlinear U-shaped relationships are observed among explainability, cognitive load, and willingness to adopt AI.

We provide design ideas for human-AI team mechanisms in KI-C scenarios, and rationally explain how the U-shaped relationship between AI explainability and cognitive load emerges.

The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.

A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (N = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.

The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.

While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.

The purpose of this paper is to put forward the lubrication model of oil bearing and enrich the design theory under the condition of mixed lubrication.

A mixed lubrication model of bilayer porous bearing is established. The effects of the working conditions on the lubrication performance and seepage behavior were analyzed.

Results show that the oil film pressure mainly occurs in the bearing convergence zone and contact pressure mainly occurs near the minimum film thickness. The oil infiltrates into the porous matrix in the contact area and precipitates out to the friction surface at the inlet of the contact area. The oil seepage velocity and dynamic pressure effect at the friction interface can be improved by reasonably matching the load and speed. With the decrease of the external load or increase of the rotating speed, the lubrication performance becomes well.

This study provides a reference for the design and application of oil bearing under harsh working conditions.

This paper aims to investigate the correlation between wear behavior and microstructure evolution in friction-induced deformation layers (FDL) of 30CrMnSi steel, especially the role of strain-hardening induced by plastic deformation in FDL, which accordingly alters the wear behavior.

Dry sliding friction and wear behaviors of the 30CrMnSi steel against quenched and tempered GCr15 steel were studied using a pin-on-disc tester. The microstructure, hardness and plastic deformation of FDL were investigated.

It was found that the evolution of microstructure and strain-hardening induced by plastic deformation were occurred in the subsurface. When the microstructure, hardness and depth of the plastic deformation layer (PDL) reached a relatively steady state, the friction process transformed into stable-state stage. The wear loss and depth of the PDL was in dynamic equilibrium at stable wear stage.

In this paper, the correlation among the microstructure evolution, the strain-hardening and wear behavior were systemically analyzed. This paper could provide a theoretical reference for optimizing the microstructure and strain hardening properties of tribo-pairs materials.

Under the new policy framework, the China Government will substantially increase education resources investment. As a result, financial under‐provision of schools will not be the main problem in the near future. However, school efficiency will emerge as the new factor in attracting the attention of the government and the public in China, which is also one of the important fields of Education Economics research.

The authors use Data Envelopment Analysis (DEA) to evaluate a sample of 58 primary schools in six districts in Beijing, hoping to find the solutions to school efficiency improvement as a result of under‐adequate investment.

In the years to come, the central government of China will continue to enhance transferring payment from the exchequer. The education input will be assured accordingly. However, if schools run under low efficiency, the education resources will not be well used and sustainability of elementary education will not be assured.

In light of the research purpose and the limited data, there has been no in‐depth discussion of the impact of, for example, families' social status, district development disparity, social cultural influence and history context. Obviously, considering more factors which may affect school efficiency will help to find the best solution for the public education sector of government.

Based on the team conflict theory and organizational learning theory, this study aims to discuss the two different types of conflicts of the top management team (TMT) on the different mechanisms of exploratory learning behavior of firms, and, based on the perspective of CEO-TMT (CEO – chief executive officer) interface, the different moderating effects caused by different CEO leadership styles are clarified.

Using the sample of 193 firms’ samples with multi-source data, the authors take an empirical test of the theoretical framework.

The effect of task conflict on exploratory learning behavior was insignificant, and relationship conflict had a positive effect on exploratory learning behavior. However, when CEO’s transformational leadership level was high, or transactional leadership level was low, there existed “bathtub curve” relationship between task conflict and exploratory learning behavior, and the relationship conflict under these conditions strengthened exploratory learning behavior. When CEO’s transactional leadership level was high, or transformational leadership level was low, there existed the inverted U-shaped relationship between task conflict and exploratory learning behavior, and the relationship conflict under such conditions weakened exploratory learning behavior.

First, the authors challenge the assumption of linear mechanism of task conflict, trying to build the mechanism of curve hypothesis, and the nonlinear explanation might be able to integrate the inconsistent results in the existing literature. Second, according to the inconsistent results of relationship conflict in existing literature, this study takes perspective of the CEO-TMT and introduces CEO leadership behavior as a moderating variable to test the moderating effect of CEO leadership and clarifies the boundary conditions of TMT conflicts.

Vegetable e-commerce is of great significance for improving the efficiency of vegetable circulation, and for solving the problems of high circulation cost and poor connection between production and marketing. The purpose of this study is to explore the key factors that influence consumers’ vegetable e-commerce adoption willingness, behavior, and willingness-behavior consistency.

A total of 427 valid questionnaires were collected from 16 districts of Beijing in 2019 via the internet, yielding a response rate of 94.9%. Bivariate probit and binary logistic regression were used for analysis.

The results show that 62.84% of vegetable e-commerce consumers have the same willingness and behavior, and 37.16% of consumers have a deviation of willingness and behavior; the key factors influencing the willingness, behavior, and willingness-behavior consistency of vegetable e-commerce consumers are different. The three variables of usefulness perception, logistics service quality perception, and nearest vegetable market distance have significant effects on and are positively correlated with the adoption willingness, behavior, and willingness-behavior consistency of vegetable e-commerce consumers.

Consumers in Beijing, a first-tier city, were taken as the research object in this study. Second-tier and even third-tier cities can be investigated as comparative studies in a follow-up study. In addition, the key factors that affect the differences in the willingness and behavior of vegetable e-commerce adoption can be studied.

The results obtained in the present study and their implications could aid in vegetable e-commerce optimization, and contribute to the understanding of how to improve consumers’ awareness and participation in vegetable e-commerce. The suggestions of this study could also be used for the improvement of vegetable e-commerce in other cities facing similar issues.

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual historical figures cultures. The purpose of this paper is to determine how the former residences respond once the historical figures living there have passed.

The history of human culture and progression of urban construction – which are submerged in societal transformation – is recorded for old Beijing city. Narrative space theory is used and methods such as a content analysis, map overlay and the Geographic Information System are employed to analyse the selected 300 former residences of historical figures in old Beijing city.

The results are as follows: the political setting played a key role in the evolution process, three political narrative areas in the inner city and one cultural narrative area in the outer city form the narrative spatial structure of the former residences of historical figures, “government construction” and “resident construction” are the main reasons for the loss and destruction of narrative spaces and ordinary life is an important channel for showcasing the history of former residences. The narrative spaces of these residences carry double histories, namely, the development of human history and of city construction.

Different from former studies that focus on the preservation of the single historical building, this study explores the integral logic of historic buildings in the whole city through narrative space theory to get a combination of culture and space.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.