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This paper aims to establish a service efficiency-oriented framework for training design and evaluation as a pivotal service procedure in the workplace to fill the gap between training and organizational performance in a service context.

A semi-structured interview was first employed to confirm the primary indicator for training programs and criteria design as the pivotal factor for operational efficiency. An observation experiment was subsequently conducted to reveal that the training program can be redesigned according to the concrete operation effects and influencing factors for operational efficiency in the workplace.

The proposed service efficiency-oriented training model is suggested to underline and guide the activities for training requirements, training methods, training criteria and training evaluation for the service sector. Training auditing, analyzing and redesigning based on service efficiency could help to integrate service efficiency so that service organizations can readjust their specific training needs and concise the training program in the human resource management practice.

This study only conducted an on-site observational experiment on one of the casinos in Macau. An observational method assessed the conceptual model in the context of table game operations. More quantitative approaches like AI-assisted systems may be employed in the future. The representativeness of the sample is somewhat limited. In addition, the service efficiency-oriented training concept model is an open system that any organization could extend by incorporating more elements in each part that can be developed to meet their human resource management needs. Finally, other service-oriented organizations like airlines and banks can learn from the theoretical model proposed in this article. It is suggested that non-profit organizations would be a better research area.

The finding can provide organizations and practitioners with insights and tools on how to provide and evaluate service efficiency and assess employee performance.

The proposed service efficiency-oriented training model provides a theoretical foundation for training and organizational performance for service organizations.

This study is the first to develop a service efficiency-oriented training framework with training needs, methods, criteria and evaluation. A service industry sample was used to verify the framework in the context of casino game pace and dealer training for table games. Suggestions for a combination of management are provided for casino operators to redesign and evaluate the dealer training program for service improvement.

The purpose of this paper is to discuss characteristics of dealers training and development in Macau gambling industry by investigating and analyzing the current dealers training and development status of Macau gambling casinos. Training and development prepare and enhance dealer's knowledge and skills to enable them to adapt to the working environment and create a career opportunity in their organization.

In-depth interviews were conducted with Macau casino human recourse manger, and questionnaire survey was used to investigate the views of dealers in training and development provided by their organization.

This paper revealed that the development and training of Macao's dealers are mainly in individual professional skills, including executive ability, professional attitude and communication skills training. According to the current situation of dealer's training and development, a human resource investment policy is that the government requires undertaking a part of the work in the dealers' community.

This paper examined the current demand for talents in Macau gambling casinos focusing on dealers' survey of the casino's training concepts, including training perception, organization arrangement and training information, etc. It is the least published official information, and training and development program in Macau gambling industry wreaked the questionnaire design.

This survey first time revealed a characteristic of dealer's human resources training and development in the Macau gambling industry. The authors got comprehensive and profound understanding of dealers' job skills and career development needs through the professional position and job characteristics investigation and analysis.

The investigation reveals the inadequately training offered for dealers pre-employment. At least, it cannot meet the gambling industry's basic needs for dealer occupation in many ways. The school's training of dealers and the training provided by the casino has a huge gap, which the school's training is a short-term, compared to the gambling enterprises on the professional skills requirements of recruit dealers. But the school in long-term provide a wider range of knowledge for dealers career development.

This research conducted by the author in 2017 showed that dealer training and development views could be used to in the gambling industry in human resource practical management.

The purpose of this study is to present the relationship between family support factors and Chinese college students’ online-startup thinking on live streaming platforms. Considering China's specific online entrepreneurial environment, this paper divides Chinese college students’ online-startup thinking according to the liberal–conservative thinking theory. This study classifies family support factors based on the tangible–intangible resource division theory. Different tangible and intangible factors have different impacts on their online-startup thinking.

This study tests 588 samples based on the partial least squares path modelling and variance-based structural equation modelling. This study promotes importance-performance map analysis to explore additional findings of influencing factors and provide suitable suggestions for Chinese college students and related departments.

Tangible family support factors, such as labour resources support, and intangible family support factors, such as verbal encouragement, can positively enhance Chinese college students’ liberal thinking to online-startup and decrease their conservative thinking. Meanwhile, according to importance-performance map analysis results, verbal encouragement from the intangible unit instead of financial resource support from the tangible unit has a higher total effect and performance on Chinese college students’ liberal thinking and conservative thinking.

This study draws on psychology research based on Chinese college students’ unique entrepreneurial mentality. This paper divides Chinese college students’ thinking in online-startups into liberal thinking and conservative thinking based on the liberal–conservative thinking theory. Meanwhile, according to the feature of Chinese family support factors, this paper classifies various elements based on the tangible–intangible resource division theory, which is helpful for scholars to understand that the student perceptions of the value of family support are critical to the success of the online-startup.

This paper presents the experimental and numerical results of the bending properties of low-height prestressed T-beams. The purpose is to study the bearing capacity, failure state and strain distribution of low-height prestressed T-beams.

First, two 13 m-long full-size test beams were fabricated with different positions of prestressed steel bundles in the span. The load–deflection curves and failure patterns of each test beam were obtained through static load tests. Secondly, the test data were used to validate the finite element model developed to simulate the flexural behavior of low-height prestressed T-beams. Finally, the influence of different parameters (the number of prestressed steel bundles, initial prestress and concrete strength grade) on the flexural performance of the test beams is studied by using a finite element model.

The test results show that when the distance of the prestressed steel beam from the bottom height of the test beam increases from 40 to 120 mm, the cracking load of the test beam decreases from 550.00 to 450.00 kN, reducing by 18.18%, and the ultimate load decreases from 1338.15 to 1227.66 kN, reducing by 8.26%, therefore, the increase of the height of the prestressed steel beam reduces the bearing capacity of the test beam. The numerical simulation results show that when the number of steel bundles increases from 2 to 9, the cracking load increases by 183.60%, the yield load increases by 117.71% and the ultimate load increases by 132.95%. Therefore, the increase in the number of prestressed steel bundles can increase the cracking load, yield load and ultimate load of the test beam. When the initial prestress is from 695 to 1,395 MPa, the cracking load increases by 69.20%, the yield load of the bottom reinforcement increases by 31.61% and the ultimate load increases by 3.97%. Therefore, increasing the initial prestress can increase the cracking load and yield load of the test beam, but it has little effect on the ultimate load. The strength grade of concrete increases from C30 to C80, the cracking load is about 455.00 kN, the yield load is about 850.00 kN and the ultimate load is increased by 4.90%. Therefore, the improvement in concrete strength grade has little influence on the bearing capacity of the test beam.

Based on the experimental study, the bearing capacity of low-height prestressed T-beams with different prestressed steel beam heights is calculated by finite element simulation, and the influence of different parameters on the bearing capacity is discussed. This method not only ensures the accuracy of bearing capacity assessment, but also does not require a large number of samples and has a certain economy. The study of prestressed low-height T-beams is of great significance for understanding the principle and application of prestressed technology. Research on the mechanical behavior and performance of low-height prestressed T beams can provide a scientific basis and technical support for the design and construction of prestressed concrete structures. In addition, the study of prestressed low-height T-beams can also provide a reference for the optimization design and construction of other structural types.

The use of AI for operations management, with its ability to evolve solutions, handle uncertainty and perform optimisation continues to be a major field of research. The growing body of publications over the last two decades means that it can be difficult to keep track of what has been done previously, what has worked, and what really needs to be addressed. Hence, the purpose of this paper is to present a survey of the use of AI in operations management aimed at presenting the key research themes, trends and directions of research.

The paper builds upon our previous survey of this field which was carried out for the ten‐year period 1995‐2004. Like the previous survey, it uses Elsevier's Science Direct database as a source. The framework and methodology adopted for the survey is kept as similar as possible to enable continuity and comparison of trends. Thus, the application categories adopted are: design; scheduling; process planning and control; and quality, maintenance and fault diagnosis. Research on utilising neural networks, case‐based reasoning (CBR), fuzzy logic (FL), knowledge‐Based systems (KBS), data mining, and hybrid AI in the four application areas are identified.

The survey categorises over 1,400 papers, identifying the uses of AI in the four categories of operations management and concludes with an analysis of the trends, gaps and directions for future research. The findings include: the trends for design and scheduling show a dramatic increase in the use of genetic algorithms since 2003 that reflect recognition of their success in these areas; there is a significant decline in research on use of KBS, reflecting their transition into practice; there is an increasing trend in the use of FL in quality, maintenance and fault diagnosis; and there are surprising gaps in the use of CBR and hybrid methods in operations management that offer opportunities for future research.

This is the largest and most comprehensive study to classify research on the use of AI in operations management to date. The survey and trends identified provide a useful reference point and directions for future research.