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This study aimed to explore how a group of Chinese primary mathematics teachers learned through conducting an online cross-cultural lesson study between China and Australia.

An expansive learning theory was adopted to examine teachers' learning through collective activities across different activity systems. Multiple data sets including videos of research lessons, debriefings and audios of interviews were collected. From the expansive learning perspective, based on a fine-grained qualitative data analysis, various contradictions (as driving forces of learning) were identified and the ways of resolving the contradictions (as enactment of learning) were located to feature teacher learning throughout the online lesson study process.

Teachers' expansive learning includes enhancing teachers' MKT and Mathematics TPACK, developing instructional design skills and capabilities in addressing challenges occurring in the virtual environment were identified.

Theoretically, the study illustrated how expansive learning theory could be utilized to examine teacher collaborative learning in the online cross-cultural lesson study. Practically, this study showed that reiterative cycles and experts' facilitation are crucial to expansive learning for linking research to classroom practice. However, this study did not focus on student learning in the virtual environment. Australian teachers' reciprocal learning through the online lesson study also requires further exploration.

Both online lesson study and cross-cultural collaboration are innovative. The expansive learning lens are creatively used to examine the complexity of teacher learning in such a novel environment.

The purpose of this paper is to explore the longitudinal influence of gender, age, education level, organizational tenure and emotional intelligence on three dimensions of knowledge hiding over time.

A longitudinal study using two-wave data sets of 390 employees in Chinese enterprises was conducted to build fixed, continuous and interacting models for investigating the effects of individual differences on the processes of knowledge hiding over time.

This research uncovered the changing relationships of individual differences on knowledge-hiding behaviors over time, such that age correlates with rationalized hiding in the interacting model, indicating younger employees are less likely to choose rationalized hiding when facing situation changes; and education level, organizational tenure and emotional intelligence moderate knowledge hiding over time, implying individuals with better education, longer tenure and higher emotional intelligence tend to exhibit more rationalized hiding behaviors rather than evasive hiding and playing dumb behaviors at Time 2.

One of the novel contributions of this study is that it tests the longitudinal effect of individual differences on knowledge hiding, providing a vertical perspective, and thereby contributing to the body of knowledge in knowledge management. The study also constructs fixed, continuous and interacting models to measure the covering longitudinal influences, thus making the research original.

This paper aims to examine the critical role played by cultural flow in fostering successful expatriate cross-border transitions.

The authors develop and test a model on the interplay among cultural intelligence, organizational position level, cultural flow direction and expatriate adaptation, using a data set of 387 expatriate on cross-border transitions along the Belt & Road area.

The authors find that both organizational position level and cultural flow moderate the relationship between cultural intelligence and expatriate adaptation, whereby the relationship is contingent on the interaction of organizational position status and assignment directions between high power distance and low power distance host environments.

Previous research has shown that higher levels of cultural intelligence are positively related to better expatriate adaptation. However, there is a lack of research on the effect of position difference and cultural flow on such relationship. Our study is among the first to examine how the interaction between cultural flow and organizational position level influences the cultural intelligence (CI) and cultural adjustment relationship in cross-cultural transitions.

This paper seeks to investigate the roles of small and large projects in the development and evolution of a commercial company and why companies with a history of taking on large projects tend to eventually fail with large projects.

In terms of small and large projects, analytic models are established to: describe investors' behaviors; depict the dynamics between CEOs and their boards of directors; and reveal how profit ceilings exist for large projects.

After making the concepts of small and large projects precise, the paper establishes several analytic models for the investigation of the behaviors of various market participants. Then, it develops an explanation for why some decision makers like to take on large projects and why most new startups fail because of a lack of funds. A theory is given to show how investors value small projects more than large projects and why the current trend of moving manufacturing operations from industrialized nations to third world countries does not seem reversible in the foreseeable future, as long as international transportation costs stay low and the global economic system stays open and competitive. Among other results, it is also shown that: the higher the level the CEO's initial ability is, the more likely he would initiate and manage small projects, and the more labor effort he will devote to these projects; the CEO's additional effort spent on the small projects helps him gain non‐pecuniary benefits, which he can use to gain additional bargaining power over the board; to realistically maximize his private utility, the CEO would spend more of his time and effort on small projects; each large project has a glass ceiling for its maximum level of profits; companies taking on large projects cannot afford to devote much of their scarce resources to expand their market share and appearance; and to increase their profit potential, these companies have to control their spending so that their profit can be maximized by lowering their unit selling price p_s; for small projects, the profit potential for the company is unlimited.

This work is the first to employ models of human behaviors to research the interactions and dynamics between projects of different scales. It provides a theoretically reliable distinction between small and large projects.

People's conciliation is a grass‐roots effort for conflict management in China. It settles civil disputes without characterizing them as conflicts between blameworthy adversaries. It does not take legal effect. But with support from the people's court and government, it is generally honored as an institution to maintain and promote mutual confidence and reciprocal relations among rural villagers, urban residents, and work unit employees. This paper attempts to provide a comprehensive description and analysis of people's conciliation. The origin, development, and organization are approached in relation to conciliation in Chinese history as well as other forms of intervention such as self‐conducted, lawyer‐assisted, administrative, and judicial conciliation. Case variety, principle, prohibition, strategy, procedure, and conciliator training are examined Illustrative cases are provided. Ideological and institutional aspects are analyzed in light of Maoism, political economy, culture and community, and public attitude in China.

The purpose of this paper is to investigate the influence of supply chain (SC) justice practices in shared value-supplier delivery performance relationship and the contingent role of trust in SC ecosystem operation.

The authors collect and analyze dyadic survey data from a marina resort SC ecosystem in Indonesia.

The results suggest the differential moderating effects of two types of perceived SC justice – perceived procedural justice and perceived interactional justice – on the relationship between shared value and supplier delivery performance. More specifically, we find that perceived procedural justice strengthens the shared value-supplier delivery performance relationship, but that perceived interactional justice weakens such a relationship. Furthermore, the findings demonstrate a positive three-way interaction effect between shared value, perceived SC justice and trust on supplier delivery performance.

The study is the first to introduce the role of SC justice practices in SC ecosystem operation. The authors examine how shared value interacts with perceived SC justice and trust in order to determine supplier delivery performance.

Computer‐aided fixture design (CAFD) techniques have been advanced so rapidly that computers can now generate fixture configurations automatically, for both modular fixtures and dedicated fixtures. Computer‐aided fixture design verification (CAFDV) is the techniques for verifying and improving existing fixture designs. It verifies the followings: geometric constraining ability, achieved tolerance, fixturing stability, and fixturing accessibility. Two models – one geometric and one kinematic – are created for the verification.

This study aims to investigate the complex relationship between corporate–nonprofit partnership characteristics (type, duration and source of communication); attitude toward the corporation (pretest and posttest); partnership evaluation; and stakeholders' willingness to engage in anti-corporate behaviors when a corporation behaves irresponsibly and negatively impacts an individual's community. The three partnership characteristics are evaluated, individually and collectively, to discern which, if any, characteristics protect or buffer a corporation from stakeholders' engagement in negative communication behaviors when controlling for how stakeholders evaluate the partnership and the corporation.

The study used an online experiment with 970 participants who were randomly assigned to a 2 × 2 × 3 × 2 factorial design.

Contrary to some previous research findings, this study found that individuals who evaluate either the corporation or the partnership favorably are more likely to engage in anti-corporate behaviors. Neither the partnership type nor communication source provides a buffering effect. The only partnership characteristic to generate a buffering effect was duration and that only occurred if the partnership lasted three years. This study concludes that when corporate social responsibility (CSR) and corporate social irresponsibility (CSI) co-occur, an amplification rather than mollifies stakeholders' willingness to enact anti-corporate communication behaviors in instances of CSI.

This study advances scholarly understanding of CSR and CSI as in-tandem concepts and practices. The findings challenge previous claims that corporate–nonprofit partnerships can buffer corporations from negative events. In contrast, we find that partnerships are limited in their ability to reduce stakeholders' willingness to engage in anti-corporate behaviors in instances of CSR. It also answers calls that CSR research should use non-fictitious companies to increase ecological validity of the study design.

The purpose of this paper is to propose an approach to incorporate contextual information into collaborative filtering (CF) based on the restricted Boltzmann machine (RBM) and deep belief networks (DBNs). Traditionally, neither the RBM nor its derivative model has been applied to modeling contextual information. In this work, the authors analyze the RBM and explore how to utilize a user’s occupation information to enhance recommendation accuracy.

The proposed approach is based on the RBM. The authors employ user occupation information as a context to design a context-aware RBM and stack the context-aware RBM to construct DBNs for recommendations.

The experiments on the MovieLens data sets show that the user occupation-aware RBM outperforms other CF models, and combinations of different context-aware models by mutual information can obtain better accuracy. Moreover, the context-aware DBNs model is superior to baseline methods, indicating that deep networks have more qualifications for extracting preference features.

To improve recommendation accuracy through modeling contextual information, the authors propose context-aware CF approaches based on the RBM. Additionally, the authors attempt to introduce hybrid weights based on information entropy to combine context-aware models. Furthermore, the authors stack the RBM to construct a context-aware multilayer network model. The results of the experiments not only convey that the context-aware RBM has potential in terms of contextual information but also demonstrate that the combination method, the hybrid recommendation and the multilayer neural network extension have significant benefits for the recommendation quality.

The subject of food has been well researched by academics, and is often employed by tourism destination practitioners. However, a review of relevant literature indicates that there is a lack of research reported and written in English on the importance of food in Chinese local regional development. The purpose of this paper is to assess the potential of local food to act as a destination attraction, and contribute to the development of local regions in China, by examining the food-related motivation, involvement, satisfaction, and behavioural intentions of Chinese domestic tourists.

Data were collected using interviewer-completed questionnaire from a sample of 1,353 domestic tourists at eight destinations geographically spread or in one region in China.

The results reveal three types of food-related behaviour (which are described and evaluated below). While gender is seen to be significant, other demographical factors, such as ages and educational levels, do not appear to influence the level of interests and involvement in local food for Chinese domestic tourists.

This study is a contribution towards assessing the potential for using local food as a tool to develop local regions in China, and to obtain a better understanding of the market segmentation of Chinese local food tourists. It assists in identifying potential food tourists towards whom marketing should be addressed.