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The paper aims to propose general design rules and route plan for automated guided vehicle system (AGVS). The AGVS is applied to automated meter verification areas through a case study of meter verification shop floor to verify the feasibility.

The paper gives an appropriate route design for AGVS and proposes an optimized strategy for designed routes and a control system to manage traffic conflict.

This case study indicates that the application of AGVS can highly improve the efficiency of manufacturing and production. Besides, a reasonable transportation plan is beneficial in making the system run smoothly and in cutting conveying time.

The application of AGVS integrates a variety of advanced technologies (i.e. information technology, artificial intelligence, etc.) into the electricity meter verification system, which brings great economic and social benefits via enhancing the verification efficiency and reducing the total labor costs.

The application proposed in the paper solves the problem that the verification almost relies on workers, labor intensity is high and work efficiency is hard to improve. Furthermore, the general rules and strategies of AGVS transportation can be applied not only to the automated electricity meter verification but also in other industrial areas.

The main purpose of this paper is to develop a method to recognize the initial welding position for large-diameter pipeline automatically, and introduce the image processing based on pulse-coupled neural network (PCNN) which is adopted by the proposed method.

In this paper, a passive vision sensor is designed to capture weld seam images in real time. The proposed method contains two steps. The first step is to detect the rough position of the weld seam, and the second step is to recognize one of the solder joints from the local image and extract its centroid, which is regarded as the initial welding position. In each step, image segmentation and removal of small false regions based on PCNN are adopted to obtain the object regions; then, the traditional image processing theory is used for the subsequent processing.

The experimental results show the feasibility and real time of the proposed method. Based on vision sensing technology and PCNN, it is able to achieve the autonomous recognition of initial welding position in large-diameter pipeline welding.

The proposed method can greatly shorten the time of positioning the initial welding position and satisfy the automatic welding for large-diameter pipeline.

In the proposed method, the image pre-processing is based on PCNN, which is more robust and flexible in the complex welding environment. After that, traditional image processing theory is adopted for the subsequent processing, of which the processing speed is faster.

The purpose of this study is to explore how gender influences peer assessment in team-building activities in China.

A nine-player Werewolf game was adopted to conduct the experiment. Nine abilities were defined to evaluate players’ performances. Before the game, players filled out a self-assessment questionnaire (five-point Likert scale). After the game, players evaluated other game members’ performances using the same questionnaire. Data were analyzed using linear regression.

The results showed that gender bias clearly existed in team-building activities, with men more likely to receive better peer assessment than women. In addition, when women presented themselves as actively as men did, they received less favorable evaluations than men, whereas their failures were more likely to be exaggerated.

This study may help build harmonious teams for gender equality, and we give practical suggestions respectively from the perspective of female employees, their managers, and their companies.

Given the importance of team-building activities in teamwork, fair evaluations of team-building performances are essential. However, gender influences on peer assessment in team-building activities in China remain unclear. This study adds new and important knowledge to research on gender bias in teams.

The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.

A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.

The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.

The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.

T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.

This paper aims to explore the relationship between human resource attributes and the operating performances of accounting firms by sampling data from the 2012-2013 Survey Report on Accounting Firms, as compiled by the Financial Supervisory Commission in Taiwan.

Multiple regression analysis is conducted to measure operating performances with various measurements, such as operating profits and business diversification. The independent variables include male to female ratio, percentage of senior executives, percentage of employees with higher education backgrounds, organizational vitality, human resource diversity, percentage of employees with certified public accountant (CPA) qualifications and human resource costs (HRCs). The control variables are the firm history, market shares and ownership structures since the inception of the firms.

The empirical results regarding the operating profits model suggest that the higher the male to female ratio, the percentage of employees with higher education backgrounds, organizational vitality, human resource diversity, percentage of employees with CPA qualifications and HRCs, the greater the operating profits. Meanwhile, the findings regarding the business diversification model indicate that the higher the male to female ratio, percentage of senior executives and human resource diversity, the greater the business diversification.

It is intended that the research findings can assist the management of accounting firms to understand the human resource attributes critical to operating performances, which will help to enhance the competitiveness of employees, mitigate the operating risks and improve the operating performances of the firms.

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.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

Transformations taking place in China are of crucial importance in the development of the world economy. The international community is turning its attention to China's move towards a market economy and assessing the likely impact on the years ahead. This paper aims to plot the evolution of administrative reforms in China with particular reference to the state (and therefore public sector), because the modernization of the state is an issue that will persist into the future, and because the state itself was driving the country's transformation towards a market economy in a deliberate way.

The paper revisits the debate on administrative reforms at different levels, i.e. fiscal, budgeting, government organizations, and public sector units (PSUs). In addition to reconstructing the evolution of norms and procedures as part of deliberate strategies by the center, the paper also investigates how actual practices at the micro level have followed this process of reform, with reference to the administration of cultural heritage at the municipal level, based on a field research project.

A lack of understanding of the role played by actual accounting transformation seems to characterize the current debate on policies. Serious discrepancies can be found between expectations and actual changes; between macro and micro policies, and micro practices.

An holistic focus on various trend of reforms is taken, looking at debates that are usually separated, also linking them to actual changes in accounting practice.

The purpose of this paper is to identify the factors that influence people to play socially interactive games on mobile devices. Based on network externalities and theory of uses and gratifications (U&G), it seeks to provide direction for further academic research on this timely topic.

Based on 237 valid responses collected from online questionnaires, structural equation modeling technology was employed to examine the research model.

The results reveal that both network externalities and individual gratifications significantly influence the intention to play social games on mobile devices. Time flexibility, however, which is one of the mobile device features, appears to contribute relatively little to the intention to play mobile social games.

This research successfully applies a combination of network externalities theory and U&G theory to investigate the antecedents of players’ intentions to play mobile social games. This study is able to provide a better understanding of how two dimensions – perceived number of users/peers and individual gratification – influence mobile game playing, an insight that has not been examined previously in the mobile apps literature.

This chapter examines the changing state–university–student relationships in post/socialist China since the late 1980s. We begin with an introduction to four salient themes in scholarship on Chinese post/socialism that are highly relevant to higher education: globalization, gradualism, civic society, and a critique of holism. These themes help us explain interrelated educational trends that affect the state–university–student relationship: the globalization, “massification,” and stratification of higher education; the redefined role of the state in university governance and management; higher education marketization and privatization; and the quest for meaning and (e)quality in and through higher education. Our general argument is that during the “socialist” period the main relationship central to higher learning was between the state and students. Universities were agents of the state; from a legal point of view, indeed, universities did not have an independent status from the state. In the “post-socialist” era the university–student relationship has become more significant. We examine this reconfiguration through two case studies, one on the development of college student grievance and rights consciousness, and the other on reforms in higher education student services administration. When looked at from the point of view of the state, we see that appropriation and implementation of policies and regulations shaping student rights and services are in partial contradiction with state policies to accelerate economic growth and bolster party authority. From the point of view of universities, we see institutions grappling with how to deliver on forward-looking structures and actions while navigating between the state's policy mandates and growing expectations and demands of its student and business stakeholders. From the point of view of students, we see how constrained agency, uncertainty, and the power of the credential motivates social praxis. At all levels of the state–institution–student relationship actors are employing a kind of pragmatic improvisation (one of the salient features of post/socialism) captured by the well-known Chinese proverb “groping for stones to cross the river.” This saying is an apt metaphor for the tentative searching by state, institution, and individual for a safe foothold in the post/socialist world.