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This qualitative study aimed to explore how the school–university partnership (SUP) enhances the elementary teachers' professional development in a school-based setting.

By following the qualitative case study methodology, this case study employs semi-structured interviews (the authors designed) with 10 school teachers and administrators. The authors adapted the iterative process analysis (Miles and Huberman, 1984) for compiling, coding, annotating the data and interpreting the interview transcripts. The authors also used the member checking technique that establishes credibility in a qualitative study (Lincoln and Guba, 1985) with six participants.

The findings suggest that participating in a series of professional learning activities led to the enhancement of teachers' and administrators learning experiences in view of educational theories, action research abilities, teaching efficiency, teaching research capacities and improvement of school guidelines. Further, they reveal that the participants' expectations for future SUP collaborations centred on realizing the sustainability and effectiveness of collaborations, and autonomy of teachers.

The limitations of the current study include its focus on a single SUP within one school and the reliance on data collected only by interviews during the SUP process. This study offers implications for teacher learning within SUP collaborations. First, schools should consider how to involve and influence all teachers rather than SUP core members only. To this end, authentic professional learning communities need to be constructed. Second, universities should pay much more attention to the professional development of their faculty members towards integration of theoretical knowledge and practical experiences.

This original study explores practical ways of improving teachers' theoretical and practical teaching practices/experiences through SUP projects, and contributes new knowledge to the teaching professional development of school teachers and administrators.

This study aims to investigate how artificial intelligence (AI)-powered smart home devices affect young consumers' requirements for convenience, support, security and monitoring, as well as their ability to advance environmental sustainability. This study also examines the variables that impact users' motivation to use AI-powered smart home devices, such as perceived value, ease of use, social presence, identity, technology security and the moderating impact of trust.

The responses from residents of Sarawak, Malaysia, were collected through online questionnaires. This study aimed to examine the perceptions of millennials and zillennials towards their trust and adoption of AI-powered devices. This study used a quantitative approach, and the relationships among the study constructs were analysed using partial least squares - structural equation modelling.

The present study found that perceived usefulness, ease of use and social presence were the main motivators among actual and potential users of smart home devices, especially in determining their intentions to use and actual usage. Additionally, there was a moderating effect of trust on the relationship between perceived ease of use, social presence, social identity and intention to use AI-powered devices in smart homes.

To the best of the authors’ knowledge, this is one of the first studies to examine the factors influencing smart technology adoption. This study provided meaningful insights on the development of strategies for the key stakeholders to enhance the adoption and usage of AI-powered smart home devices in Sarawak, one of the promising Borneo states. Additionally, this study contributed to the growing body of knowledge on the associations between technology acceptance model dimensions, intention and actual usage of smart technology, with the moderating impact of trust.

This study aims to address existing gaps in the literature and theories by investigating the influence of responsible leadership traits on employees’ sustainable performance (E-SuPer) in the Malaysian service sector. Specifically, the authors focus on three key responsible leadership traits: relationship building, relational governance and sharing orientation. Additionally, the authors explore how these traits interact with leader-member exchange (LMX) and whether gender plays a role in this relationship.

A total of 235 usable responses were analysed using partial least squares structural equation modelling. Multi-group analysis (MGA) was employed to examine the moderating impact of gender.

The results showed that both relationship building and relational governance significantly affect E-SuPer among organisations in the service industry. LMX was found to be a significant moderating condition influencing the association between responsible leaders’ sharing orientation and E-SuPer. Interestingly, the MGA results suggest that the effect on male employees was greater than on female employees across the relationships examined. The findings suggest that responsible leadership traits are essential for sustainable employee performance, but there is room for improvement in how these traits are perceived by female employees.

The present study contributes to gender equality agenda, supports the sustainable development goals, adds to the growing body of knowledge on the relationship between responsible leadership traits and E-SuPer within one of the most important economic sectors in Malaysia and sheds lights on the moderating effect of LMX.

This study investigates how responsible leadership traits affect E-SuPer in the service industry, particularly among male and female employees. Moreover, this study is one of the early investigations into the significance of responsible leadership within Malaysian service sector and offers valuable information for industry actors to improve their management approaches.

Seasonal fluctuation interference often affects the relational analysis of economic time series. The main purpose of this paper is to propose a new grey relational model for relational analysis of seasonal time series and apply it to identify and eliminate the influence of seasonal fluctuation of retail sales of consumer goods in China.

First, the whole quarterly time series is divided into four groups by data grouping method. Each group only contains the time series data in the same quarter. Then, the new series of four-quarters are used to establish the grey correlation model and calculate its correlation coefficient. Finally, the correlation degree of factors in each group of data was calculated and sorted to determine its importance.

The data grouping method can effectively reflect the correlation between time series in different quarters and eliminate the influence of seasonal fluctuation.

In this paper, the main factors influencing the quarterly fluctuations of retail sales of consumer goods in China are explored by using the grouped grey correlation model. The results show that the main factors are different from quarter to quarter: in the first quarter, the main factors are money supply, tax and per capita disposable income of rural residents. In the second quarter are money supply, fiscal expenditure and tax. In the third quarter are money supply, fiscal expenditure and per capita disposable income of rural residents. In the fourth quarter are money supply, fiscal expenditure and tax.

This paper successfully realizes the application of grey relational model in quarterly time series and extends the applicable scope of grey relational model.

In order to verify the feasibility of different techniques, this chapter further studies the adaptability of two massive straw biomass applications in rural areas in China.

The methods of assessing biomass power generation project with Life Cycle Assessment (LCA), survey and field test of one biogas station, and game-theoretic analysis are adopted.

The following conclusions can be drawn: The air pollution costs account for more than 60% of the total environmental cost, followed by depreciation expense and maintenance fee of 18%, compared to that of biomass power generation at 0.01711 CNY/kWh. The adopted greenhouse sunlight technology of Solar Biogas Plant in Xuzhou, China, raises the inside average temperature by 11.0 °C higher than outside and keeps the pool temperature above 16 °C in winter, ensuring a gas productivity of biogas project in winter up to 0.5–0.7 m³/m³ by volume. This chapter also analyzes the information cost incurred by asymmetric information in biomass power generation via game theory method and illustrates the information structure with game results. It provides not only a foundation for the policy research in promoting straw power generation but also theoretical framework to solve the problem of straw collection.

These studies will propose solutions to relevant problems arisen in the running process.

These studies are all based on real cases, field research, and appropriate theoretical analyses, so, they can reduce the relevant costs and promote the application of relevant technologies.

This research is designed to explore Chinese customers' wine purchasing behaviours and to investigate the effect of country‐of‐origin (COO) information on their wine evaluations.

Data were collected from the shopping malls both in Shanghai and Hangzhou, China, using the systematic sampling method. A total 148 usable questionnaires were returned and analysed by SPSS.

The results confirmed that Chinese customers consider COO as the most important factor in their wine evaluation when a single‐cue approach is applied. When a multi‐cue approach is used however the results showed that there was no significant difference in the importance in COO and price as indicators. This research also revealed some salient characteristics of Chinese consumers buying behaviour associated with Chinese culture. When the Chinese are evaluating wine for gift giving and consuming wine in public, they tend to attach more importance to COO than to other variables and are more likely to purchase foreign or imported wine instead of domestic brands.

Only respondents from Shanghai and Hangzhou were chosen, limiting the representativeness of the sample. Future research will be benefited from increased sample size from different geographical regions and by examining the relationship between the consumer demographic characteristics and the COO effects.

The results from this study stand in contrast to previous studies relating to the role of COO in product evaluation. It illustrates the importance of culture in relation to COO.

The purpose of this paper is to present a novel and accurate coordination control method of dual‐arm modular robot based on position feedback using 3D motion measurement system – Optotrak3020. The end‐position accuracy of dual‐arm modular robot can be improved obviously.

By means of Optotrak3020, the actual end‐position of dual‐arm modular robot is acquired and then returned to the robotic controllers, so the corresponding position error compensation is implemented. Through a 3D simulation and experiment of dual‐arm modular robot for tracking a trajectory of plane right triangle, the feasibility and validity of this control strategy are verified.

The coordination control of dual‐arm modular robot based on position feedback can be accomplished by means of Optotrak3020. The dual‐arm modular robot can accurately accomplish the task of positioning or tracking a reference trajectory.

This real‐time position feedback control method with high control accuracy can be implemented on a PowerCube dual‐arm modular robot system. This method also can be applied to other dual‐arm robot systems, such as mobile robot with dual‐arm, humanoid robot.

The coordination control method of dual‐arm modular robot is presented based on end‐position feedback using Optotrak3020 motion measurement system. The platforms of simulation, communication and experiment are developed, respectively.

The purpose of this paper is to investigate the relationship between international expansion and firm performance in an emerging market.

The paper firstly explores the relationship between internationalization and firm performance, then investigates the roles of diversification, and examines how diversification moderates the relationship between internationalization and firm performance. For this purpose, panel data on 318 Chinese listed manufacturing firms during the period 1999‐2008 were utilized. Three groups of samples of high, medium and low levels of diversified manufacturing firms were obtained. Statistical techniques of fixed‐effects panel data model yielded an interesting pattern of findings. On the basis of these results, the paper then discusses the implications for the international expansion of Chinese firms.

At high and low levels of internationalization, internationalization is negatively associated with firm performance, but at medium levels of internationalization, greater internationalization is accompanied by higher performance. Product diversification negatively moderates the relationship between internationalization and performance. As product diversification increases, the relationship between internationalization and performance changes from a horizontal S‐curve in firms with low levels of diversification to a U‐curve in moderately diversified firms and eventually to an equilibrium level in highly diversified firms. The initial stage of the horizontal S‐curve of internationalization and performance declines markedly in Chinese manufacturing firms as a whole, therefore it is by no means easy for Chinese firms to undertake internationalization.

These findings do suggest that managers need to take a long‐term view of internationalization and make a commitment to internationalization.

This is the first paper of its kind to empirically validate the relationship between internationalization, firm performance and diversification in China. It is intended to make a contribution to theoretical research on international business in an emerging market.

The purpose of this paper is to present a novel automatic planning and coordinated control method of redundant dual‐arm space robot for inner space‐station operation based on multiple sensors information by stages.

In order to improve the coordinated control capability of dual‐arm robot system, a four‐layer hierarchical control structure is designed based on the theory of centralization and decentralization. At the high‐level planning of dual‐arm system, a task decomposition strategy based on task knowledge and a task allocation strategy in terms of the robotic capability are proposed, respectively. Moreover, a control method by stages based on the information of multiple sensors is introduced to object recognition, task planning, path planning and trajectory planning. Finally, a 3D simulation and experiment of screwing nut and bolt are implemented on a dual‐arm robot system, and the feasibility and applicability of this control strategy are verified.

The automatic planning can be accomplished by means of sensors information by stages, and by this method, the autonomy and intelligence of dual‐arm space robot system can be further improved.

A new automatic planning strategy integrated with multiple sensors information by stages is proposed, and can be implemented on a dual‐arm robot system for inner space‐station operations. This method specializes in heterogeneous dual‐arm robot system.

A task decomposition strategy based on task knowledge and a task allocation strategy in terms of the robotic capability are proposed, respectively. Moreover, a control method by stages based on the information of multiple sensors is introduced to object recognition, task planning, path planning and trajectory planning of dual‐arm robot system.

The purpose of this paper is to investigate how and why a firm’s product market power affects its dividend policy.

This paper uses three measures of market power? The degree of import competition, Herfindahl-Hirschman index, and Lerner Index? To examine how a firm’s product market power affects its dividend policy. Further, it proposes and tests a risk-based explanation for this impact.

This paper shows that market power positively affects the dividend decision, in terms of both the probability of paying a dividend and the amount of dividend payment. It also provides evidence that the route through which market power affects the dividend decision is business risk: firms with less market power are riskier and hence less likely to pay dividends than firms with more market power.

The results show that product market power may have played an important role in reshaping dividend policy of corporate America.

This study documents the relevance of market power behind dividend policy and therefore adds to the knowledge on the relationship between product markets and corporate financial policies, which is an important and understudied area of corporate finance.