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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.

This paper aims to solve the problem of public resource allocation among vulnerable groups by proposing a new method called uncertain α-coordination value based on uncertain cooperative game.

First, explicit forms of uncertain Shapley value with Chouqet integral form and uncertain centre-of-gravity of imputation-set (CIS) value are defined separately on the basis of uncertainty theory and cooperative game. Then, a convex combination of the two values above called the uncertain α-coordination value is used as the best solution. This study proves that the proposed methods meet the basic properties of cooperative game.

The uncertain α-coordination value is used to solve a public medical resource allocation problem in fuzzy coalitions and uncertain payoffs. Compared with other methods, the α-coordination value can solve such problem effectively because it balances the worries of vulnerable group’s further development and group fairness.

In this paper, an extension of classical cooperative game called uncertain cooperative game is proposed, in which players choose any level of participation in a game and relate uncertainty with the value of the game. A new function called uncertain α-Coordination value is proposed to allocate public resources amongst vulnerable groups in an uncertain environment, a topic that has not been explored yet. The definitions of uncertain Shapley value with Choquet integral form and uncertain CIS value are proposed separately to establish uncertain α-Coordination value.

The purpose of this paper is to explore the role of intellectual capital (IC) in supply chain intelligence integration (SCII) and the interrelationships of the three components of IC (i.e. human capital (HC), structural capital (SC) and relational capital (RC)) in the supply chain context.

This paper conducted an empirical study by using primary data from 389 sample firms. The authors applied structural equation modeling to test the proposed hypotheses.

The results indicate that both HC and RC have direct impact on SCII, whereas SC only influences SCII through RC.

This study evidences that IC is an enabler of SCII. Furthermore, this study reveals the interrelationships of human, structural and RC.

Informed by learning transfer theory, the purpose of this paper is to validate the instrument measuring educational leadership preparation program (LPP) quality attributes and graduates’ leadership learning and to assess the direct and indirect relationships among them, as reported by program graduates.

This study uses data collected from the 2016 INSPIRE-G Survey, which gathers information from LPP graduates in the USA on their perceptions of program quality and leadership learning. Structural equation modeling was used to determine which program quality factors directly and indirectly influence graduate leadership learning.

The results suggest significant relationships between the assessed LPP attributes and leadership learning. Faculty quality and program rigor and relevance (PRR) had the strongest association with leadership learning, although the relationship between faculty quality and learning was fully mediated by PRR. Internship experiences and peer relationships were also important predictors of leadership learning. Studying with a cohort had a small but positive relationship with graduates’ leadership learning, although the relationship was fully mediated by perceived peer relationships.

This study further validates the INSPIRE-G Survey and affirms the imperative role of leadership preparation as a predictor to graduate reported learning outcomes and learning transfer. Moreover, this study illustrates the importance of leadership preparation by demonstrating positive relationships between program quality features and reported leadership learning outcomes. Finally, the INSPIRE-G instrument demonstrates its utility as a reliable measure of program quality, which opens the door to large-scale and longitudinal studies of the transfer of learning from leader preparation to practice.

China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is recognized as an important element to rural revitalization and entrepreneurship, research into the role of psychological capital is less developed. Therefore, this paper assesses the impact of both social and psychological capital on entrepreneurial performance of Chinese new-generation rural migrant entrepreneurs (NGRMEs) who have returned to their homes to develop businesses as part of the rural revitalization revolution.

Based on a survey, data were collected from 525 NGRMEs in Shaanxi province. This paper uses factor analysis to determine variables for a multiple linear regression model to investigate the impacts of dimensions of both social capital and psychological capital on NGRMEs’ entrepreneurial performance.

Through the factor analysis, social capital of these entrepreneurs consists of five dimensions (reputation, participation, networks, trust and support), psychological capital has three dimensions (innovation and risk-taking, self-efficacy and entrepreneurial happiness) and entrepreneurial performance contains four dimensions (financial, customer, learning and growth, and internal business process). Furthermore, the multiple linear regression model empirically verifies that both social capital and psychological capital significantly influence and positively correlate with NGRMEs' entrepreneurial performance.

This study shows the importance of how a mixture of interrelated social and psychological dimensions influence entrepreneurial performance that may contribute to the success of the Chinese rural revitalization strategy. This has serious implications when attempting to improve the lives of over 100 million rural Chinese citizens.

The quality of produced textile fibers plays a very important role in the textile industry, and detection and assessment schemes are the key problems. Therefore, the purpose of this paper is to propose a relatively simple and effective technique to detect and assess the quality of produced textile fibers.

In order to achieve automatic visual inspection of fabric defects, first, images of the textile fabric are pre-processed by using Block-Matching and 3-D (BM3D) filtering. And then, features of textile fibers image are respectively extracted, including color, texture and frequency spectrum features. The color features are extracted by using hue–saturation–intensity model, which is more consistent with the human vision perception model; texture features are extracted by using scale-invariant feature transform scheme, which is a quite good method to detect and describe the local image features, and the obtained features are robust to local geometric distortion; frequency spectrum features of textiles are less sensitive to noise and intensity variations than spatial features. Finally, for evaluating the quality of the fabric in real time, two quantitatively metric parameters, peak signal-to-noise ratio and structural similarity, are used to objectively assess the quality of textile fabric image.

Compared to the quality between production and pre-processing of textile fiber images, the BM3D filtering method is a very efficient technology to improve the quality of textile fiber images. Compared to the different features of textile fibers, like color, texture and frequency spectrum, the proposed detection and assessment method based on textile fabric image feature can easily detect and assess the quality of textiles. Moreover, the objective metrics can further improve the intelligence and performance of detection and assessment schemes, and it is very simple to detect and assess the quality of textiles in the textile industry.

An intelligent detection and assessment method based on textile fabric image feature is proposed, which can efficiently detect and assess the quality of textiles, thereby improving the efficiency of textile production lines.

This study explored whether crowdsourcing work characteristics are associated with perceived work effort in competitive crowdsourcing markets. The study also investigated the important contextual variables and internal mechanisms related to perceived work effort.

A questionnaire was posted as a crowdsourcing task on China's Time Fortune website. Data from 231 valid questionnaires were analyzed using SmartPLS 3.

Crowdsourcing workers' intrinsic and extrinsic motivations were significantly and positively correlated with their perceived work effort. Task autonomy and feedback were significantly and positively correlated with intrinsic motivation. Skill variety, task significance, task identity, and task clarity had no significant correlations with intrinsic motivation. However, task clarity was significantly and positively correlated with perceived work effort. Moreover, the relationship between workers' trust in task requesters and perceived work effort was fully mediated by intrinsic motivation.

This study extended the job characteristic model into the virtual competitive crowdsourcing market. The authors verified the relationship between task clarity/trust in task requesters and workers' motivation and perceived work effort.

The purpose of this paper is to examine the impact mechanism of workers’ perceived justice, trust and job satisfaction (JS) on their continuance participation intention in the crowdsourcing market.

An e-questionnaire was posted as an online task on Zhubajie, and data from 304 valid questionnaires were analyzed using SmartPLS 3 software.

Results show that crowdsourcing workers’ distributive and interpersonal justice have a significant impact on their trust in the task requester, while procedural and informational justice significantly affect their trust in intermediary management. Workers’ trust in the task requester and in intermediary management positively affects JS, which ultimately affects their continuance participation intention in the crowdsourcing market.

Based on the social exchange theory, this study examines the positive impact of workers’ justice perception on their continuance participation intention. It dissects the inherent mechanism of workers’ justice perception about their continuance participation intention using three variables of trust in the task requester, trust in intermediary management and JS.

Given the positive relationship between workers’ justice perception and continuance participation intention, crowdsourcing intermediary website managers should adopt effective measures to enhance workers’ justice perception to strengthen their continuance participation intention.

This study explores factors that influence workers’ continuance participation intention and their inherent mechanism in the crowdsourcing market based on justice and social exchange theories. It is an extension of research on continuous participation behavior in the crowdsourcing field.

As one of the omnichannel sales models, “buy online and pick up in store” (BOPS) not only is used in the commercial field but also has gradually attracted many scholars’ interests. However, although there are numerous research ideas, most of the current work is still limited to theoretical and empirical research, and few scholars study BOPS through models. This paper aims to discuss the best market conditions and opportunities for the implementation of BOPS against the backdrop of omnichannel by means of mathematical models and data simulations and discuss the optimal price–service strategies under different sales models.

First, from the perspective of different consumer shopping types, this paper separately divides consumers into different groups in traditional “dual channel” and BOPS models. Then, the authors analyze the impact of company market size, consumer service sensitivity and the scale of BOPS on companies’ strategies and the profit of the supply chain. Subsequently, they conduct an empirical analysis through specific values. Finally, the authors further expand the model on the basis of the original research, and discuss the retailer’s fairness concerns and unit compensation strategy to ensure that the research content is more rigorous.

It is observed that whether companies adopt BOPS depends on consumers’ service sensitivity degree and the scale of BOPS consumers and online retailers: when the sensitivity and the proportion of online consumers are high or the number of BOPS consumers is large, it is more advantageous for companies to implement BOPS. Moreover, companies should not only consider the market scale and production cost but also have a precise orientation of consumers’ experience sensitivity and willingness to engage in extra consumption when making price and service strategies. At the same time, the compensation strategy of companies and the peer-regarding fairness concern behavior of offline retailers will affect the optimal price and service strategy in the BOPS model.

These results provide managerial insights for companies preparing to implement BOPS and promote the development of relevant theories in the channel field.

At present, most of the research on BOPS is based on empirical reviews. However, this paper analyzes the applicability and feasibility of implementing BOPS by using specific models, and it will provide some reference for companies preparing to implement BOPS. In addition, this paper also discusses the unit compensation strategy and peer-regarding fairness concern behavior in the BOPS model, which have not been studied by relevant scholars.