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Effective maintenance of construction supply chains is paramount to business continuity during the pandemic. Focusing on a large private Australian construction company, this research aims to investigate to what extent the current pandemic has affected the daily operations of this company. This research touches on the broader effect on the industry, while it narrows the focus on how effective construction supply chain management can minimise a pandemic's negative impact on a company. The critical question will be how private contractors that primarily rely on social infrastructure projects can fortify their supply chains and general operations during the global pandemic.

A mixed qualitative and quantitative approach is employed in this research. Based on literature review and question design, data is collected through interviews with various stakeholders. Moreover, operation data is also collected from the case company to support the results and findings.

The respondents have generally agreed that the case company has effectively managed its supply chains to this point of the pandemic through the implementation of supply chain monitoring processes and maintaining stable relationships with stakeholders. This is supported by the operation data of the case company.

This is timely-conducted research, and it is original research with invaluable operation data. This case study is conducted during a pandemic and provides lessons learned for global supply chain management in the post-pandemic period.

The new town concept originated from the ideal city model of Ebenezer Howard and expanded from Europe to America in the 1900s. It has reemerged as a site for accommodating population from highly dense urban centers of China and India since the early twenty-first century. The massive infusion of public and private investments has enabled the emergence of new towns in China and India as planned centers of world-class residential, commercial, and work spaces. The rational goal of de-densifying the crowded central cities can lead to a more balanced distribution and use of resources across the metropolitan regions with more spacious housing for the growing middle class in China and India. Yet it is a relatively small number of the wealthy and mobile people who have turned out to be beneficiaries of the mostly high-end housing and well-developed transport infrastructure that evokes social and economic polarizations and political contestations. In this chapter, we will examine: (1) how these top-down planned and developed new towns have reshaped the urbanization process of the megacities in India and China, (2) the socio-spatial influence of these settlements on the central city as well as the surrounding rural areas, and (3) the expected and actual spatial users (both old and new residents) of the new towns? We address these questions by organizing two pairs of cases in a systematic framework: Anting New Town and Thames Town in Shanghai, China and Rajarhat New Town and the Kolkata West International City (KWIC) near Kolkata, India.

The purpose of this study is to provide an alternative approach to teacher learning on top of the usual practices of listening to experts' lectures and conducting school-based activities among peers in China. A boundary-crossing lesson study (BCLS) through school-university partnership served as an example to illustrate how a class teacher's mindset changed towards her students in equal interactions with university scholars.

With the lenses of action science theory and boundary-crossing learning theory, the study used qualitative research approach to collect and analyze data. One Chinese primary school class teacher from a workshop on narrative action research was selected as the case for this study. Interviewing, observation and document analysis were used to collect data. Data analysis methods included categorization and contextualization of the teacher's mindset change towards her student.

The case teacher, Mrs. Li, collaborated closely in paired teaching with her university partner AP Yu in all the four phases of their BCLS. Each phase was marked with an interactive event such as dialogic illumination, reflexive theorization, embodied conversation, and fusion of teacher and trainer roles. With inspirational trust as a major interactive mechanism, Mrs. Li jumped out of her single-loop learning (changing strategies according to results) to double-loop learning (changing both strategies and values/values). As a result, her mindset changed from attribution to appreciation towards her low-achieving student.

This study made contributions in two ways. First, it examined a class teacher's mindset change towards her student, rather than that of subject matter teachers towards their teaching materials and methods. Second, it revealed how reflective interactions in a special kind of BCLS by school teachers and university scholars may promote the teacher's mindset change. The findings further confirm that having differences as boundaries is not enough for teacher learning. For deep learning like Mrs. Li's mindset change, it requires a respectful and inspirational relationship between school teachers and university scholars in the BCLS.

This study tested the hypothesis of collectivist orientation as a predictor of affective organizational commitment. Data from 510 employees working in two organizations in China supported the hypothesis, that is, collectivist orientation is a significant predictor of affective organizational commitment when employees' specific organization, age, sex, organizational tenure, educational level, and pay satisfaction are controlled.

To combat poverty in China's rural areas, Chinese government has established an unconditional cash transfer program known as the Rural Minimum Living Standard Guarantee (Rural Dibao) Program. Interestingly, despite the importance of education in breaking cycles of poverty, little is known about Rural Dibao's impact on rural children's education. This study investigates Rural Dibao's impact on rural children's learning outcomes by first examining targeting issues within the program, exploring a causal relationship between Rural Dibao and learning outcomes, and then exploring potential mechanisms and heterogeneous effects.

Fixed effects model and propensity score weighting method and data from China Family Panel Studies (CFPS) from the years 2010 and 2014 were used.

The results suggest that the Rural Dibao program suffers from high levels of targeting error, yet is still effective (i.e., program transfers generally still go to people in need). The fixed effects and propensity score weighting models find that program participation raises rural children's standardized test scores in CFPS Chinese-language and math tests. In investigating mechanisms, increased education expenditure seems to connect Rural Dibao participation to increased learning results. The heterogeneity analysis shows that poorer, non-eastern, not left behind, younger or male children benefit from the program (while others have no effect).

These findings suggest that Rural Dibao participation boosts rural children's learning, which could indicate a long-term anti-poverty effect, and that if the program can resolve targeting problems, this effect could be even greater.

Enterprises' multichannel operations provide various avenues for customer interaction; however, existing literature investigating customer-to-customer interaction (CCI) mainly focuses on a single channel. The purpose of this paper is to investigate the spillover effect of CCI and potential underlying mediating mechanisms in different information channels.

Three between-subjects experiments with 946 participants were employed to empirically validate the proposed hypotheses in the context of an experiential product and a material product.

Results suggest the clear spillover effect of CCI, indicating that positive CCI improves focal customers' satisfaction and purchase intention, whereas negative CCI reduces focal customers' satisfaction and purchase intention. Moreover, CCI's spillover effect varies based on the CCI channel. Offline CCI has a stronger positive spillover effect than online CCI. Contrarily, online CCI has a stronger negative spillover effect than offline CCI. Customer experience and trust are demonstrated to have mediating roles in this process.

This study is the first to comprehensively understand and compare the CCI spillover effect of the two information channels. The findings add to the existing knowledge of information processing in the psychological mechanisms influencing the belief in addition to providing insights for companies engaged in multichannel operations management across different channels.

Although CLS has been implemented in China for over a century, it is barely known to educators internationally. The purpose of this paper is to synthesize the salient characteristics of Chinese lesson study (CLS), introduce the major themes of this special issue, and invite dialogues about the theories and practices of CLS.

The authors of this editorial paper conducted an extensive literature review on CLS, analyzed the contents and methods of the existing research categorically, compared CLS with other models of LS globally, and present this special issue articles and their major contributions thematically. The theoretical framework of the paper relies mainly on cultural theories and theories on research paradigms such as improvement science, which explain why and how CLS functions in Chinese education system over time.

Existing studies suggest that CLS is a deliberate practice for developing instructional expertise, a research methodology for linking research and practice, and an improvement science for instruction and school improvement system wide. In addition to the theorization of CLS, this special issue also introduces some adaptations of CLS outside of China such as the USA and Italy.

This paper, for the first time, spells out some salient features of CLS, and discusses issues in adapting CLS in other parts of the world. It will enrich the understanding of LS theories and practices in China and promotes trans-cultural development of LS internationally.

As internet dividends are gradually disappearing, loyalty programs have become the panacea for monetizing traffic, attracting new customers and retaining existing customers. Improving their effectiveness has thus become key to enterprises’ market competitiveness. However, member customers’ hedonic adaptation to this relationship strategy undermines its effectiveness. Based on the hedonic adaptation theory, this study aims to analyze the process of member customers' hedonic adaptation to preferential treatment in loyalty programs and explore the boundary conditions of alleviating this effect.

This study surveyed 271 member customers in China and tested the hypothesized relationships using structural equation modeling and multigroup analysis.

Preferential treatment suffers from hedonic adaptation to member customer engagement and customer gratitude, and customer tenure is a key condition for these effects. Customer gratitude is an intermediary mechanism that explains the hedonic adaptation effect of preferential treatment to member customers engagement. In addition, the structural characteristics of loyalty programs form the boundary condition that alleviates hedonic adaptation. The authors found that high-tier and -payment strategies are more likely to mitigate hedonic adaptation of preferential treatment to customer gratitude.

This study elucidates the factors that influence the effectiveness of preferential treatment and provides constructive insights into customer relationship management and for improving enterprise performance.

This paper aims to address the challenge of analysing the features of negative sentiment tweets. The method adopted in this paper elucidates the classification of social network documents and paves the way for sentiment analysis of tweets in further research.

This study classifies negative tweets and analyses their features.

Through negative tweet content analysis, tweets are divided into ten topics. Many related words and negative words were found. Some indicators of negative word use could reflect the degree to which users release negative emotions: part of speech, the density and frequency of negative words and negative word distribution. Furthermore, the distribution of negative words obeys Zipf’s law.

This study manually analysed only a small sample of negative tweets.

The research explored how many categories of negative sentiment tweets there are on Twitter. Related words are helpful to construct an ontology of tweets, which helps people with information retrieval in a fixed research area. The analysis of extracted negative words determined the features of negative tweets, which is useful to detect the polarity of tweets by machine learning method.

The research provides an initial exploration of a negative document classification method and classifies the negative tweets into ten topics. By analysing the features of negative tweets, related words, negative words, the density of negative words, etc. are presented. This work is the first step to extend Plutchik’s emotion wheel theory into social media data analysis by constructing filed specific thesauri, referred to as local sentimental thesauri.

The purpose of this paper is to examine the cultural roots of Chinese lesson study (LS) so as to account for its persistence in the Chinese education history as well as its importance in Chinese teacher professional development and student learning.

The overarching research question is: “How can Chinese lesson study be theorized from a cultural perspective?” The sub-questions include: “What cultural features do Chinese teachers demonstrate in their LS activities? How can traditional Chinese cultural resources be utilized in explaining the existence and development of these features?” Based on a close reading of firsthand classic texts on Chinese cultural thoughts and related literature, the researchers collected data from Chinese teachers’ LS activities, stimulated recall interviews and focus groups, and related documents. An analysis is conducted with interplay among the theoretical framework, the data, and the researchers’ personal insights.

The findings of the study include three aspects. First, in terms of their actions, the Chinese teachers enact their understanding of teaching in public lessons through unity of knowing and doing (知行合一) more than conceptual explication. Second, with regard to their thinking, the Chinese teachers use practical reasoning (实践推理) in deliberate practice of repeated teaching through group inquiry and reflection. Third, a tendency of emulating those better than oneself (见贤思齐) is evident in novice teachers’ learning from “good” examples by expert teachers.

The revelation of these cultural features can not only contribute to a deeper understanding about the persistence and importance of LS in the Chinese education history, but also provide an example of analyzing LS from a cultural perspective to the world LS community.