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Effective knowledge management has played a crucial role in propelling the green transformation of organisations and industries. Nevertheless, its underutilisation in the real estate sector has impeded the progress of green transformation. Therefore, the purpose of this paper is to offer a theoretical and practical analysis of the green transformation of the real estate industry through the lens of knowledge management and to provide a valuable reference to facilitate the industry’s green transformation.

This study entailed applying induction and deduction method, using China’s real estate industry as a typical case, and collecting and analysing the public data, corporate reports and literature of China’s real estate industry. On this basis, the authors conducted an in-depth analysis of the mechanisms through which the green transformation has empowered the sustainable development of China’s real estate industry, as well as the critical role of knowledge management.

The study has revealed that the primary challenges encountered by China’s real estate industry during the green transformation have stemmed from significant disparities in the knowledge base among different industry entities, the complexities related to knowledge integration and the “difficulty” of applying green knowledge across the entire life cycle. To address these issues, the authors recommend several strategic actions, including creating a dedicated green knowledge platform for the real estate industry, establishing a knowledge-sharing mechanism, enhancing knowledge acquisition on both the supply and demand sides and intensifying the focus on the application of green knowledge within the real estate industry.

This research holds considerable theoretical and practical significance concerning the comprehension and promotion of knowledge management’s role in the green transformation of China’s real estate industry. These insights can be applied to significantly enhance the theoretical framework of knowledge management, and the research outcomes provide substantial support for propelling the green transformation in China’s real estate industry and contributing to the sustainable development of the overall economy in China.

From a knowledge management perspective, this study introduces a series of solutions and recommendations, presenting new research ideas and pathways for advancing the green transformation of the real estate industry. In addition to guiding the industry’s sustainable development, it also significantly contributes to enhancing the theoretical framework of knowledge management.

This paper aims to investigate the impact of relationship quality among team members in the project team on knowledge transfer effectiveness and analyze the role of organizational structure in the influencing process.

The hypotheses are verified by the Structural Equation Modeling (SEM) analysis using Smart PLS 3 software with the data collected from 236 questionnaire samples in Chinese construction industry.

The results indicate that relationship quality has a direct impact on knowledge transfer in project teams and centralization has a negative impact on relationship quality. Moreover, relationship quality plays a mediating role between centralization and knowledge transfer effectiveness and formalization plays a negative moderating role in the effect of relationship quality on knowledge transfer effectiveness.

This paper studies intra-project knowledge transfer from the perspective of relationship quality of project teams and explores the antecedent and moderating role of organizational structure in the influence of relationship quality on knowledge transfer.

We investigate the joint impacts of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of reviews and attitude toward the product/service reviewed.

We performed three studies to test our research model, presenting participants with scenarios involving product reviews and prior users' helpful and unhelpful votes across experimental settings.

A high helpfulness ratio boosts users’ trust and influences behaviors in both positive and negative reviews. This effect is more pronounced in attribute-based reviews than emotion-based ones. Unlike the ratio effect, helpfulness magnitude significantly impacts only negative attribute-based reviews.

Future research should investigate voting systems in various online contexts, such as Facebook post likes, Twitter microblog thumb-ups and up-votes for article comments on platforms like The New York Times.

Our findings have significant implications for voting system-providers implementing information techniques on third-party review platforms, participatory sites emphasizing user-generated content and online retailers prioritizing product awareness and reputation.

This study addresses an identified need; that is, the helpfulness votes as an additional trust cue and the joint effects of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of customers in reviews and their consequential attitude toward the product/service reviewed.

Lead users are essential participants in crowdsourcing innovation events; their continuance intention significantly affects the success of the crowdsourcing innovation community (CIC). Although researchers have acknowledged the influences of network externalities on users' sustained participation in general information systems, limited work has been conducted to probe these relationships in the CIC context; particularly, the predictors of lead users' continued usage intention in such context are still unclear. Hence, this paper aims to explore the precursors of lead users' continuance intention from a network externalities perspective in CIC.

This work ranked users' leading-edge status to recognize lead users in the CIC. And then, the authors proposed a research model based on the network externalities theory, which was examined utilizing the partial least squares (PLS) technique. The research data were collected from an online survey of lead users (n = 229) of a CIC hosted by a China handset manufacturer.

Results revealed that the number of peers, perceived complementarity and perceived compatibility significantly influence lead users' continuance intention through identification and perceived usefulness.

This work contributes to the crowdsourcing innovation research and provides views regarding how lead users' sustained participation can be developed in the CICs. This work also offers an alternative theoretical framework for further research on users' continued intention in open innovation activities.

China has fully capitalized on the opportunities presented by the latest wave of technological revolution and industrial transformation, paving the way for a path with Chinese characteristics in the development of the digital economy. This paper analyzes the development of China’s digital economy, outlining its path, advantages and challenges. It aims to provide insights into how China capitalized on technological and industrial transformation to foster a digital economy with distinct Chinese characteristics.

This paper adopts a descriptive analytical approach to outline the evolution of China’s digital economy through various stages of development. It highlights the pivotal role of market demand, the intricate government-market relations and technological advancements in shaping this evolution. The approach also identifies key factors that have contributed significantly to China’s success in digital economy development.

The key findings reveal that China’s digital economy has grown rapidly, driven by market demand, technological innovation and government support. The “Chinese path” prioritizes consumer internet, leverages scale advantages and emphasizes data-driven development. However, challenges exist in balancing governance systems, endogenous growth and external environments.

This paper offers original insights into the unique development path of China’s digital economy, highlighting its advantages and challenges. It provides valuable insights for other countries seeking to foster their own digital economies, especially in managing government-market relations and leveraging domestic market demand.

This paper aims to explore recent advances in drift compensation algorithms for Electronic Nose (E-nose) technology and addresses sensor drift challenges through offline, online and neural network-based strategies. It offers a comprehensive review and covers causes of drift, compensation methods and future directions. This synthesis provides insights for enhancing the reliability and effectiveness of E-nose systems in drift issues.

The article adopts a comprehensive approach and systematically explores the causes of sensor drift in E-nose systems and proposes various compensation strategies. It covers both offline and online compensation methods, as well as neural network-based approaches, and provides a holistic view of the available techniques.

The article provides a comprehensive overview of drift compensation algorithms for E-nose technology and consolidates recent research insights. It addresses challenges like sensor calibration and algorithm complexity, while discussing future directions. Readers gain an understanding of the current state-of-the-art and emerging trends in electronic olfaction.

This article presents a comprehensive review of the latest advancements in drift compensation algorithms for electronic nose technology and covers the causes of drift, offline drift compensation algorithms, online drift compensation algorithms and neural network drift compensation algorithms. The article also summarizes and discusses the current challenges and future directions of drift compensation algorithms in electronic nose systems.

Drawing on conservation of resources theory, this study aims to develop and test a model of moderated mediation in the relationship between job autonomy and employee life satisfaction, focusing on the mediating role of work–family enrichment (WFE) and the moderating role of segmentation preference.

Using a time-lagged research design, data were collected from 314 employees representing various organisations in Vietnam. The PROCESS macro in SPSS 20.0 was used to analyse the relationships.

The results indicate a positive relationship between job autonomy and employees’ life satisfaction, mediated by WFE. Additionally, the indirect effect of job autonomy on life satisfaction via WFE was weaker when employees preferred high work–family segmentation.

The study suggests that organisations can enhance employee life satisfaction by increasing job autonomy and promoting WFE. Organisations can establish a more supportive and engaging work environment that promotes well-being by tailoring these interventions to suit employees’ segmentation preferences.

This study contributes to the literature by shedding light on how organisational factors influence employee life satisfaction. It provides the first empirical evidence of a relationship between job autonomy and life satisfaction. It also explores the potential mediation effect of WFE and the moderating effect of segmentation preference.

This study investigates the ubiquitous business model and e-commerce strategy of WeChat as a platform. The potential of WeChat as a tool for sustainable entrepreneurial development has received limited attention from researchers. The purpose of this study is to uncover the hidden issues associated with WeChat's role in e-commerce development. It also examines the opportunities and limitations of using WeChat for e-commerce. The study employs a qualitative research approach, including an extensive literature review and ethnographic study. The results demonstrate that leveraging mobile apps like WeChat can greatly enhance entrepreneurial tendencies and foster sustainable entrepreneurship, thus contributing to poverty eradication in emerging nations.

This study aims to establish a reliable index to identify interdisciplinary breakthrough innovation effectively. We constructed a new index, the D_Div index, for this purpose.

The D_Div index incorporates the degree of interdisciplinarity in the breakthrough index. To validate the index, a data set combining the publication records and citations of Nobel Prize laureates was divided into experimental and control groups. The validation methods included sensitivity analysis, correlation analysis and effectiveness analysis.

The sensitivity analysis demonstrated the D_Div index’s ability to differentiate interdisciplinary breakthrough papers from various categories of papers. This index not only retains the strengths of the existing index in identifying breakthrough innovation but also captures interdisciplinary characteristics. The correlation analysis revealed a significant correlation (correlation coefficient = 0.555) between the interdisciplinary attributes of scientific research and the occurrence of breakthrough innovation. The effectiveness analysis showed that the D_Div index reached the highest prediction accuracy of 0.8. Furthermore, the D_Div index outperforms the traditional DI index in terms of accuracy when it comes to identifying interdisciplinary breakthrough innovation.

This study proposed a practical and effective index that combines interdisciplinary and disruptive dimensions for detecting interdisciplinary breakthrough innovation. The identification and measurement of interdisciplinary breakthrough innovation play a crucial role in facilitating the integration of multidisciplinary knowledge, thereby accelerating the scientific breakthrough process.

This chapter presents data and analysis to conceptualise the role of the executive principal, and how the executive principal practises leadership in formal school partnerships in China. To achieve this, this research draws on Foucault’s concept of pastoral power, enriching it through interplay with Chinese notions of morality. This research is anchored in one innovative educational organisation – the Education Collective (EC). The EC is a large-scale and multi-level educational organisation formed by two or more schools or campuses guided by a common concept and bound by a contract. Education collectivisation has now become the mainstream model of running compulsory education in China. The head of the EC, often referred to as the executive principal, is the legal representative of each EC and is responsible for the entire collective.