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Agricultural science and technology (AST) often need the form of industry-university-research cooperation in successfully completing breakthrough agricultural technology innovations. Therefore, AST industry-university-research cooperation is not only the need of the AST development strategy in China but also the only way for the development of agricultural colleges and universities, agricultural scientific research institutions and agricultural enterprises. Among them, in the process of cooperative breakthrough agricultural technology innovation, the correct selection of partners is the basis for ensuring its effective operation.

Aiming at the time-series characteristics and information ambiguity of decision information in the dynamic selection process of AST industry-university-research partners, this research introduces the dynamic intuitionistic fuzzy multi-criteria decision-making method of time degree and orthogonal projection. On this basis, field theory is used to construct the cooperative innovation capability field model of the partners, and the threshold for the partners to enter or exit the system is designed to dynamically select and eliminate the partners.

Results show that this method fully considers the situation of cooperative innovation resources within the AST industry-university-research system and the resource complementarity of candidate partners.

Combined with examples from agricultural scientific research institutions, the applicability and superiority of the model are verified.

As a result of the increasing challenges of time overrun, several companies regularly set up delay assessment procedures for performance improvement and profit maximization. In the construction industry, projects are enormously complicated and involve significant budgets, and therefore optimizing project performance through the root cause analysis should be imperative for every project manager. Typically issues of delays in projects are generally discussed and problematized separately, yet a comprehensive framework for systematic analysis and grouping of delays is rarely contended. The purpose of this paper is to introduce the 4P concept (project related, practices, participants, and procurement) for identifying, analyzing, and classifying delays in the internal environment of the project development process.

The 4P conceptual framework was validated through the synthesis of the existing literature.

Interestingly, despite the increasing concerns about delays in the construction industry, most research on delays are project and/or country specific, thus no consensus about the sources of delays. The application of the proposed concept as a theoretical framework would provide an understanding of the available delay sources, their risks and use for project delay assessment and classification.

This study grouped delays based on the shared characteristics and four main sources were identified and analyzed. There may be other sources or factors, yet would be dependent or aspect of the 4P.

The study informs project teams to reduce delays in the construction industry.

The paper is an application of risk assessment tool to conceptualize delays in the internal project environment.

The continuous failure of construction projects notwithstanding appreciable increase in project management knowledge has necessitated a proactive approach of assessing early warning signs (EWS) of building projects failure. Building projects are expected to show warning signs before experiencing crises, comparable to a patient displaying symptoms of a disease. Thus, this study aims to examine the EWS that predisposed building projects to failure in Nigeria to provide empirical data for enhancing projects delivery.

Primary data were used for the study. Structured questionnaire was administered to consultants and contractors’ personnel within Lagos State, Nigeria. A total of 180 copies of questionnaire were administered and 134 copies (combined response rate of 74.44 per cent) were retrieved. Frequency distribution, percentages, mean item score and Mann–Whitney test were used to analyse the data.

Most construction professionals applied the EWS approach from project planning and early construction phase. The most significant EWS predisposing building projects to failure were “Management inability and incompetence to proactively detect and manage problems at early project stages”, “Actual expenditure is constantly shooting beyond cost estimates” and “Incurred costs already getting higher than the anticipated benefits”. Project/construction management-related symptoms are most significant to predisposing building projects to failure.

The study provided implications for effective project management of building projects through proactive approach which is very paramount to improving the delivery of building projects in Nigeria.

The study provides implications for proactive management of building projects, thereby enhancing the delivery of building projects.

The failure and abandonment of construction projects have proven to be insurmountable problems incessantly militating against the efficient performance of the construction industry in Nigeria. The complexity, technicality and a host of other project execution issues unique to multi-storey building projects do increase their susceptibility to failure and abandonment. Thus, the purpose of this paper is to examine the factors influencing failure and abandonment of multi-storey building projects in Nigeria. This is with a view to provide inferential empirical data that could enhance successful delivery of multi-storey building projects in Nigeria.

Primary data were used for the study. A structured questionnaire was administered on consultants and contractors’ personnel within Lagos State, Nigeria. A total of 180 copies of the questionnaire were administered ,and 134 copies which represent a combined response rate of 74.4 per cent were retrieved. The data were analysed using frequency distribution and percentages, Mean item score and factor analysis.

The factors most significant to the failure and abandonment of multi-storey building projects are inadequate funding by the client, improper planning at the pre-construction phase, structural failure in multi-storey building during construction, bankruptcy/business failure of the contractor, improper scheduling of the building project activities and failure to engage qualified professionals with technical expertise and experience. The rated factors clustered under human resources capability, planning and structural quality, contractor selection and variation, insecurity and variation, and force majeure and political risk.

The study was limited to multi-storey building projects in Lagos State, Nigeria. Further studies could focus on specific resuscitation strategies for abandoned multi-storey building projects.

The study provided implications for effective project and contract management of multi-storey building projects which is very paramount to improve the delivery of complex, technical- and capital-intensive building projects in Nigeria.

The study provides specific implications for the management of multi-storey building projects, thereby enhancing the delivery of building projects.

The purpose of this paper is to identify the relative importance of factors affecting quality. This is important where great expenditures of time, money, and resources are wasted each year due to inefficient or non-existent quality levels.

An exploratory approach is employed. After a literature review, six interviews are initially conducted with construction experts and then a simple survey of 328 questionnaires was administrated through structured personal interviews among contractors and architects in the Jordanian housing sector.

The findings suggest that contractors and architects combined agreed that the highest important factors affecting quality are: human resource management, customer satisfaction, and construction specific factors. The findings also suggest that strategic planning, continuous improvement, resources are the lowest important factors. A conceptual framework encompassing the key quality factors is also developed.

This research has important implications for different level managers at construction companies. By understanding the quality factors, managers can focus on the highest factors and catch up with their lowest important factors in order to maintain a balanced and integrated quality approach.

This is one of few studies that investigate the importance of quality factors. To the authors’ knowledge, this is the first paper providing empirical evidence of the quality factors in construction management in a developing country.

The construction industry has always been regarded as a stressful and task-driven industry with high levels of work pressure. When the stressful situations are prolonged, job burnout becomes unavoidable for construction professionals. The purpose of the present paper is to investigate the critical predictors of burnout among civil engineers at construction sites in Turkey and identify the impact of those determined burnout predictors on various burnout dimensions.

The possible causes of burnout for civil engineers at construction sites were determined using an extensive literature review and were further studied using a questionnaire. The obtained data were analysed statistically using SPSS 22 and LISREL 8.7 software. Correlation analysis, exploratory and confirmatory analysis, and structural equation modelling were performed on this collected data, and a structural model was developed.

Three critical factors affecting burnout levels of civil engineers in construction sites were determined; among them “organisational injustice” and “competitive pricing and lack of contract management” were identified as the critical predictors of burnout in the emotional-exhaustion and cynicism dimensions. Based on these predictors, potential solutions and recommendations are proposed that are anticipated to decrease the burnout among civil engineers at construction sites.

Although there are several works of research regarding the burnout among construction professionals, there is limited research that has provided insight into the specific factors causing burnout among civil engineers. This research presents a structural model of the predictors obtained by a confirmatory factor analysis for decreasing the burnout level of civil engineers at construction sites. The current study represents the first comprehensive quantitative determination of the factors and predictors of burnout among civil engineers at construction sites in Turkey.

The purpose of this paper is to examine how Si-shu, a traditional form of local, private education grounded in classical instruction, responded to the rapid modernization of education during the late Qing dynasty and early Republic of China and to explain why these schools, once extraordinarily adaptable, finally disappeared.

The authors have examined both primary and secondary sources, including government reports, education yearbooks, professional annals, public archives, and published research to analyze the social, political and institutional changes that reshaped Si-shu in the context of China's late-19th- and early-20th-century educational modernization.

Si-shu went through four stages of institutional change during the last century. First, they faced increased competition from new-style (westernized) schools during the late Qing dynasty. Second, they engaged in a process of intense self-reform, particularly after the Xinhai Revolution of 1911. Third, they were marginalized by the new educational systems of the Republic of China, especially the Renxu School System of 1922 and the Wuchen School System of 1928. Finally, after the foundation of the People's Republic of China in 1949, they were considered remnants of feudal culture and forcibly replaced by modern schools.

This paper brings hitherto unexplored Chinese sources to an English-speaking audience in an effort to shed new light on the history of traditional Chinese education. The fate of Si-shu was part of the larger modernization of Chinese education – a development that had both advantages and disadvantages.

This chapter examines the development of accounting thought and practices in China with the purpose of illustrating its relevance to current accounting policies and practices. The review indicates that changes in accounting in China did not usually occur completely and easily. Over the past three decades, while Chinese accounting has gradually moved toward the Anglo-American model, convergence has presented unique features in China. For example, the review suggests that the accounting reforms in China have been heavily government-driven and that uniform accounting systems still remain. Chinese regulators maintain a cautious attitude toward the application of fair value and professional judgment, which are essentially the center of the Anglo-American accounting system. Furthermore, Chinese accounting regulators have a different view of business combinations from the IASB and have developed alternative accounting methods for those transactions. China’s departure from IFRS reflects its politico-economic context and essentially challenges the IASB’s goal of achieving international accounting convergence. China’s approach to internationally acceptable practices is likely to have implications for the effectiveness of the imported ideas.

The purpose of this paper is to provide a historical review of China’s anti-corruption efforts, from the ancient period of Chinese slavery societies to the late 1970s before China launched its profound economic reform, under the current status of the harsh crusade against corruption that the Chinese new leadership initiated.

This paper is mainly based on a great deal of historical literature and empirical findings, with relevant comparative analysis on policies and regulations between various periods of China.

The phenomenon of corruption has existed in Chinese history for thousands of years, throughout Chinese slavery societies, feudal societies, republic period and the People’s Republic of China (PRC). Anti-corruption laws formed an important part of ancient Chinese legal system, and each dynasty has made continuous and commendable progress on fighting such misconduct. Innumerable initiatives have also been taken by the ruling party Chinese Communist Party (CCP) since the founding of the PRC. The PRC government created various specially designed government organizations and a series of updated regulations for preventing economic crimes. They have realized that periodic movements against corruption would no longer be helpful, and the paramount issue nowadays is indeed how bold the leaders are in striking out those unhealthy tendencies.

This paper fills in the blanks in the Western world with a comprehensive description of, and comments on, the historical efforts on China’s corruption and economic crime prevention. It also, in various ways, provides meaningful information that links to China’s current furious war against corruption.

The quality of the unstructured mesh has a considerable impact on the stability and accuracy of aerodynamic simulation in computational fluid dynamics (CFD). Typically, engineers spend a significant portion of their time on mesh quality evaluation to ensure a valid, high-quality mesh. The extensive manual interaction and a priori knowledge required to undertake an accurate and timely evaluation process have become a bottleneck in the idealized efficient CFD workflow. This paper aims to introduce a neural network-based quality evaluation approach for unstructured meshes to enable higher efficiency and the level of automation.

The paper investigates the capability of deep neural networks for the quality evaluation of unstructured meshes. For training the network, we build a training dataset for mesh quality learning algorithms. The dataset contains a rich variety of unstructured aircraft meshes with different mesh sizes, densities, cell distribution, growth ratios and cell numbers to ensure its diversity and availability. We also design a neural network, AircraftNet, to learn the effect of mesh quality on the convergent properties of the numerical solutions. The proposed network directly manipulates raw point data in mesh source files rather than passing it to an intermediate data representation. During training, AircraftNet extracts non-linear quality features from high-dimensional data spaces and then automatically predicts the overall quality of the input unstructured mesh.

The paper provides a series of experimental results on GPUs. It shows that AircraftNet is able to effectively analyze the quality-related features like mesh density and distribution from the extracted features and achieve high prediction accuracy on the proposed dataset with even a small number of training runs.

Because of the limited training dataset, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

The paper publishes a benchmarking dataset for mesh quality learning algorithms and designs a novel neural network approach for unstructured mesh quality evaluation.