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Metadiscourse is an important dialogue technique used in productive knowledge building to help a group evaluate and advance their knowledge progress. Previous studies have identified and defined various types of metadiscourse. However, there is scant knowledge about how different metadiscourse types emerge among different groups or what implicit correlations lie between progressive discourse and metadiscourse. Moreover, research on how different types of metadiscourse influence groups' knowledge advancement and artifacts is still inadequate. Therefore, this study aims to further examine the roles that different types of metadiscourse play in the collaborative knowledge building community on both a fine-grained (i.e. progressive discourse) and coarse-grained (i.e. group knowledge advancement and group artifacts) level.

Data for this study are drawn from the behaviour of undergraduate students participating in a 12-week course at a key university in China. On the fine-grained level, epistemic network analysis (ENA) is applied to illustrate how metadiscourse promotes the development of progressive discourse. On the coarse-grained level, two different chi-square tests are conducted to examine the roles of different types of metadiscourse in groups' knowledge advancement and artifacts.

The analysis allowed several conclusions to be drawn. First, the types of metadiscourse that students most often adopted were reflecting on ideas development (RD) and commenting on ideas (CI); they less frequently adopted setting group goals (SG) and making group plans (MP). Second, most types of metadiscourse correlated with developments in progressive discourse, particularly RD and CI. Third, the metadiscourse types RD, CI and coordinating group efforts (CE) played essential roles in knowledge advancement. Fourth, higher-quality artifacts could be created by using the metadiscourse type reviewing the state of knowledge building progress (RP).

A more profound comprehension of the role that metadiscourse plays in the collaborative knowledge building community not only contributes to the literature in the knowledge building field but also carries a significant meaning in regulating community, promoting learner agency and sustained knowledge, and consequently improving collaborative learning performance.

This study aims to address workplace cyber incivility in digital environments by proposing human resource (HR) management strategies derived from a systematic review of the literature. It seeks to clarify the concept of cyber incivility, identify its antecedents and outcomes and provide practical recommendations for HR practices to mitigate its effects.

A systematic review following PRISMA guidelines analyzed 31 empirical studies (2006–2024) using Google Scholar, PsycINFO, Business Source Complete and Web of Science databases with keywords, including “cyber incivility,” “digital workplace” and “employee well-being.” Studies were included if they focused on workplace cyber incivility, provided primary data and were published in English, while those on cyber aggression or bullying were excluded. Two authors independently screened studies, resolving discrepancies through discussion. Thematic analysis synthesized findings on definitions, antecedents, outcomes and moderators.

The review identifies gaps in the literature, including inconsistent measurement approaches, limited understanding of cyber incivility’s multidimensional nature, insufficient examination of dyadic perspectives between perpetrators and targets and fragmented research across different digital platforms. The included studies (n = 31) examined diverse professional contexts, with sample sizes ranging from 69 to 830 participants. Cyber incivility is shaped by individual factors (e.g. personality traits, demographic characteristics), situational factors (e.g. workload, stress) and technology-driven factors (e.g. misinterpretation in digital communication). Its negative impacts include reduced job satisfaction, heightened stress, burnout and increased turnover intentions. Evidence-based HR recommendations include developing digital communication guidelines, implementing resilience-building programs and offering training on digital etiquette and conflict resolution.

This study provides a comprehensive framework for understanding cyber incivility in digital work environments and offers evidence-based HR interventions to foster respectful communication and improve employee well-being. It bridges existing research gaps by synthesizing fragmented studies and highlighting actionable strategies for HR professionals.

The purpose of this study is to examine how social media affects luxury brand equity and purchase intention in Malaysia.

Questionnaires were distributed across shopping malls in the Klang Valley, including Kuala Lumpur and surrounding areas, targeting Malaysian citizens aged 18 and above with a history of luxury purchases. Using random sampling, the study collected and analysed 300 valid responses.

The findings demonstrate that social media has a positive effect on luxury brand equity and that brand equity significantly influences purchase intention. However, the study reveals a negative impact of social media on purchase intention.

This study explores the profound impact of social media on luxury brand equity in Malaysia, revealing its role in shaping brand awareness, associations, uniqueness, loyalty and perceived quality.

Loading the work on social capital theory, we have tried to check the influence of social currency (SC) on social media usage (SMU) and its subsequent impact on the brand experience (BE). The study attempted to ascertain the mediation of loyalty (LT) between the SC and SMU as well as the moderation of perceived ease of use (PEU) in the SMU and BE relationship.

The data were collected from 384 respondents employing snowball sampling technique by administering a questionnaire on seven-point Likert scale. The respondents were the active internet users, who devote the significant part of their daily routine to social media activities. Structural equation modelling was used to study the path of the considered variables.

The result of the study strengthened the findings of earlier studies on SC dimensions. This study elaborated about the positive impact of SC on SMU, SC on LT, LT on SMU, SMU on BE. The study also found the mediating effect of LT in the SC and BE relationship. The study did not identify a moderating role of PEU in the SMU and BE relationship.

By taking into account SC, SMU, LT, PEU and BE, the study adds the knowledge to the social capital theory.

This study aids marketers in adjusting social media strategies for the effective use of SC aimed to deliver enhanced BE. Additionally, it demonstrates the value of customer LT in the context of SC and SMU by customers.

This study is among the few research on the SC of the Indian user and its impact on SMU and BE. Checking the mediation of LT and the moderation of PEU in the SC context makes this study novel and different from any study conducted earlier.

The impact of environmental regulations on ecological innovation is a contested issue in current research. However, there is no uniform consensus on existing conclusions. It is commonly accepted among scholars that external environment and organizational characteristics are key factors affecting ecological innovation. However, these are often analyzed in isolation, without consideration of the interaction between leadership and external environment. So this study aims to explore the impact of environmental regulation on ecological innovation by combining internal and external factors.

Based on institutional theory and leadership theory, this paper takes environmental regulation as the independent variable, environmental leadership as the intermediary variable and intellectual property protection level as the regulating variable to explore the impact mechanism of environmental regulation on ecological innovation.

The findings indicate an inverted U-shaped relationship between environmental regulation and ecological innovation. Additionally, there is a positive correlation between environmental leadership and intellectual property protection level with ecological innovation. Furthermore, environmental leadership partially mediates the relationship between environmental regulation and ecological innovation. However, the level of intellectual property protection does not have a significant moderating effect on the relationship between environmental leadership and ecological innovation.

This paper proposes suggestions for regional ecological innovation based on the current policy and research situation to promote its development.

The global construction industry faces both challenges and opportunities from electronic waste (e-waste). This study aims to present a bibliometric analysis and comprehensive literature assessment on e-waste in concrete construction materials.

This study studies 4,122 Scopus documents to examine garbage generation in different countries and inventive ways to integrate e-waste into construction as a sustainable strategy. This study lists famous researchers and their cooperation networks, demonstrating a robust and dynamic area with a surge in research output, notably from 2018 to 2022. Data is visually represented using VOS Viewer to show trends, patterns and study interests throughout time.

The findings imply that e-waste can improve construction materials’ mechanical characteristics and sustainability. The results are inconsistent and suggest further optimization. e-Waste into construction has garnered scientific interest for its environmental, life cycle, and economic impacts. This field has great potential for improving e-waste material use, developing sophisticated prediction models, studying environmental implications, economic analysis, policy formulation, novel construction methods, global cooperation and public awareness. This study shows that e-waste can be used in sustainable building. It stresses this area’s need for research and innovation. This lays the groundwork for using electronic trash in buildings, which promotes a circular economy and environmental sustainability.

The findings underscore the critical role of ongoing research and innovation in leveraging e-waste for sustainable building practices. This study lays the groundwork for integrating e-waste into construction, contributing to the advancement of a circular economy and environmental sustainability.

The social implications of integrating e-waste into construction are significant. Using e-waste not only addresses environmental concerns but also promotes social sustainability by creating new job opportunities in the recycling and construction sectors. It fosters community awareness and responsibility towards sustainable practices and waste management. Additionally, this approach can reduce construction costs, making building projects more accessible and potentially lowering housing prices.

This research contributes to the field by offering a bibliometric analysis and comprehensive assessment of e-waste in concrete construction materials, highlighting its global significance.

This study aimed to explore the relationship between supply chain resilience (SCR) and organizational performance (OP), with innovation (INN) serving as a mediator and information sharing (IS) acting as a moderator.

The study comprehensively examined the connections between SCR, OP, INN and IS. An exploratory approach and quantitative methods were employed. The data were collected from small and medium-sized manufacturing enterprises of three cities Xian, Hainan and Guangzhou of China via online questionnaire surveys conducted through Emails and WeChat. SmartPLS-4 was used for data analysis.

The findings indicated that SCR has a positive effect on sustainability efforts. Additionally, INN and effective IS both mediated and moderated this relationship, playing crucial roles in improving sustainability within the supply chain.

The study offered practical insights for businesses to enhance their sustainability efforts. Managers can use these findings to develop strategies that improve SCR, foster INN and encourage effective IS, ultimately resulting in a more sustainable supply chain.

This study enriched the existing knowledge base by investigating the intricate relationships among SCR, OP, INN and IS, all within the context of achieving sustainability. By exploring these elements holistically, the research introduced originality and highlighted effective strategies for sustainable supply chain management.

Partnering has been introduced to the construction field to improve project delivery efficiency. However, little research outlines the factors influencing the intention to form partnerships. This paper aims to investigate the relationships between attitude, subjective norm perceived behavioural control (PBC) and intention to form partnering, as well as to elicit behavioural, normative and control beliefs regarding partnering formation. The study also examines the relationships between these beliefs and their respective constructs within the Theory of Planned Behavior (TPB) framework.

In order to achieve these objectives, a two-stage approach was employed. First, a belief elicitation study (BES) involving 20 construction industry professionals was conducted to elicit salient beliefs. Subsequently, a TPB survey was administered to 99 contractors from grades G4 to G7. Partial Least Square analysis assessed the factors influencing the intention to form partnering.

The results supported six hypotheses, while six others were unsupported. Perceived usefulness significantly influenced attitude towards intention to form partnering, followed by attitude itself, which also significantly influenced intention. The project management team and sole proprietors had significant effects on the subjective norms, while facilitating conditions and consensus on appropriation significantly affected PBC.

This research contributes to the existing literature by providing empirical evidence on the role of intention in partnering formation. Moreover, by applying the BES, this research extends the TPB model of intention to form partnering in construction projects, offering valuable insights for future research and practice.

This study investigates the relationships between attitude, subjective norm PBC and intention to form partnering, as well as to elicit behavioural, normative and control beliefs regarding partnering formation. The study also examines the relationships between these beliefs and their respective constructs within the TPB framework.

The importance of carbon reduction has become a global consensus, and more and more countries are implementing the cap-and-trade mechanism, including China. The purpose of this paper is to investigate the optimal carbon emission allowances (CEA) purchasing decisions of supply chain members under the cap-and-trade mechanism in China.

An evolutionary game model is established to analyze the CEA purchase strategy choices of suppliers and manufacturers in the supply chain. The influence of the key parameters on the evolutionary game results is analyzed by numerical simulations.

The supply chain system always evolves towards neither supplier nor manufacturer purchasing CEA or both purchasing CEA. Illegal production behavior and excessive CEA costs are key factors that hinder parties from purchasing CEA. High revenue from purchasing CEA for production, high supply chain losses and high governmental penalties can promote parties to purchase CEA.

The results help supply chain members make better CEA purchasing decisions and also benefit the development of China’s carbon trading market and environmental protection.

This paper aims to design a deep reinforcement learning (DRL)-based variable impedance control policy that supports stability analysis for robot force tracking in complex geometric environments.

The DRL-based variable impedance controller explores and pre-learns the optimal policy for impedance parameter tuning in simulation scenarios with randomly generated workpieces. The trained results are then used as feedforward inputs to improve the force-tracking performance of the robot during contact. Based on Lyapunov’s theory, the stability of the proposed control policy is analysed to illustrate the interpretability of the results.

Simulations and experiments are performed on different types of complex environments. The results show that the proposed method is not only theoretically feasible but also has better force-tracking effects in practice.

Compared with most other DRL-based control policies, the proposed method possesses stability and interpretability, effectively avoids the overfitting phenomenon and thus has better simulation-to-real deployment results.