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The purpose of this study is to investigate the impact of servant leadership on frugal innovation through the mediating role of corporate social responsibility to employees.

This study used a quantitative research method and structural equation modeling to test hypotheses in the proposed research model based on a sample of 325 Vietnamese firms.

The research findings indicated that five dimensions of servant leadership including empowerment, humility, standing back, stewardship and authenticity are positively related to frugal innovation. Moreover, corporate social responsibility to employees partially mediates the connections between five servant leadership’s dimensions and frugal innovation.

This study provides important insights and a novel approach for leaders of Vietnamese small and medium-sized firms to improve their firms’ frugal innovation capability through leadership practice and corporate social responsibility to employees.

This study significantly fills research gaps in the literature and advances the understanding of how servant leadership promotes corporate social responsibility to employees to improve frugal innovation.

Over energy consumption is one of the causes of global warming and climate change. To deal with this issue, using energy-efficient appliances is strongly encouraged and cultivating consumer loyalty toward energy-efficient appliances is crucial for long-term sustainability. This study investigates the effects of multiple dimensions of perceived value on consumer satisfaction and three outcomes of consumer loyalty (i.e. willingness to pay a premium, repurchase intention and word-of-mouth intention), considering the moderating role of the product category.

Quota sampling based on age and gender and snowball sampling methods were applied to recruit 423 participants for this study. A combination of partial least squares structural equation modeling (PLS-SEM), importance-performance map analysis (IPMA) and necessary condition analysis (NCA) was employed to examine the proposed model.

Functional, price, emotional and environmental values positively impact consumer satisfaction, enhancing the three dimensions of consumer loyalty. The product category moderates the effects of perceived value dimensions on consumer satisfaction. Moreover, the IPMA results highlight that functional value and environmental value are the most essential but underperforming value attributes. The NCA results indicate that social value is a necessary condition for consumer satisfaction.

This study is one of the pioneers in integrating PLS-SEM, IPMA and NCA approaches to comprehensively unpack the relationships between perceived value dimensions, consumer satisfaction and consumer loyalty in the context of energy-efficient appliances. The findings offer theoretical and practical importance for academics, retailers, producers and policymakers to encourage consumer loyalty toward energy-efficient appliances.

In response to challenges in traditional professional development, educators are increasingly utilizing social media platforms to customize their learning experiences and facilitate their professional growth. This systematic literature review seeks to examine articles published between January 2018 and July 2023 to synthesize evidence on the ways in which teachers are leveraging social media to improve their teaching practices.

The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to guide the literature review process. First, the authors established synthesis questions, set up eligibility criteria and determined search engines and search terms to identify the relevant literature. Second, the authors sorted and selected from the preliminary article search and screened based on the established criteria. Finally, the authors analyzed each selected article’s content, which included coding, interpreting the themes and organizing the findings.

Teachers are increasingly using social media for professional development, engaging in collaboration, empowering connection, and relationship-building through teacherpreneurship. They take on various roles, from info-consumers and info-networkers to self-seeking contributors, vocationalists and lurkers. Despite these benefits, challenges remain, such as potential for unexpected misunderstandings, social comparison that can lead to low self-esteem, which can hinder effective engagement in social media-based professional development. Additionally, this paper observed a growing trend in scholarly articles on this topic, particularly from 2020, 2021 and 2022, highlighting its increasing relevance and impact on the educational community.

This systematic literature review focused exclusively on studies involving in-service K-12 teachers as participants, excluding perspectives from preservice teachers, higher education instructors, instructional coaches and school administrators. While these other educational professionals undoubtedly offer valuable insights into improving teaching practices and contribute significantly to social media-based professional development, this review aimed to center the experiences of K-12 in-service teachers to understand their unique professional development needs and practices. Consequently, it does not capture the potential synergies between K-12 teachers and other educator groups, such as the ways in which school administrators might support or enhance in-service teachers’ professional development through social media. Future studies could explore these interactions more deeply to provide a fuller picture of the collective expertise within these groups.

The COVID-19 pandemic underscored the value of social media for informal professional development, as shown by the increased number of publications on this topic during that period. However, some social media platforms prioritize consumerism over educational resources, emphasizing the need for educators to critically evaluate their sources. Teachers should be discerning in their resource selection, ensuring that educational references are credible and free of hidden costs.

This study uncovered several unique patterns in how teachers use social media, revealing both benefits and challenges. Notably, some teachers are leveraging social media not only to build professional connections but also to engage in commercial activities. While this practice can create a supportive network – where teachers promote one another’s visibility, share products and seek support – it can also detract from the intended purpose of professional learning. The focus on brand-building and profit-making may overshadow authentic community-building and collaborative growth. Additionally, the presence of paid content introduces financial barriers, as many teachers have limited resources for professional development.

This study provides a comprehensive review of recent literature (January 2018 to July 2023) on teachers' use of social media for professional development and learning, offering fresh insights into emerging trends. Notably, findings of this study highlight the role of teacherpreneurship in fostering beneficial social connections within digital spaces, a factor that has gained prominence as teachers seek collaborative and supportive networks. Additionally, this research sheds light on lurking as a common strategy among teachers to avoid conflict and misunderstandings when engaging in social media-based professional development. Furthermore, by addressing various challenges, this paper presents suggestions for thoughtfully integrating social media into school professional development programs, with the intention of supporting the diverse needs of teachers and fostering their professional growth.

This study aims to comprehensively identify supply chain risks and their causes, the factors influencing supply chain management and techniques to successfully mitigate and control supply chain risks in construction projects. This study developed a comprehensive framework showing various supply chain risks and how these risks that influence project execution are systematically identified and managed for the overall construction project success.

The research conducted was characterised by its descriptive, exploratory and quantitative nature. The collection of quantitative data was conducted by means of structured online questionnaires. The sample consisted of 205 construction project professionals who were selected randomly. This group included individuals with various roles in the construction industry, such as project managers, civil/structural engineers mechanical engineers, risk managers, architects, quantity surveyors, electrical engineers, construction managers, health, safety and environment managers, estate managers and other professionals. All participants were actively involved in construction projects located in the Gauteng province of South Africa. The data was analysed, using descriptive statistical methods, including factor analysis, reliability assessment and calculations of frequencies and percentages.

The result showed that predictable delivery, funding schedule, inventories, balanced demands, production capabilities, timely procurement, construction supply chain management coordination, delivery reliability, the proximity of suppliers, identification of supply chain risks in the conceptualisation stage of a project, identification of supply chain risks in the planning stage of a project, identification of supply chain risks in the execution stage and the reconciliation of material flows of the subcontractors with the contractors were identified as the key factors that influenced the construction supply chain management the most. The result also showed that subcontractor’s negative attitudes towards supply chain management, procurement delays, imbalanced demands, clients’ negative attitudes towards other project stakeholders, unpredictable delivery reliability, disorganised construction supply chain management approach, delayed funding, low delivery reliability, poor inventories, poor construction supply chain co-ordination, suppliers’ negative attitudes towards supply chain management and when the material flows of the subcontractors with the contractors are not reconciled were identified as the factors that have the greatest impacts on construction supply chain risks management.

For future research, it is recommended to incorporate fourth industrial revolution) such as machine learning prediction models and algorithms, Artificial intelligence and blockchain to identify and manage supply chain, supply chain risks and project stakeholders involved in supply chain in construction projects. Green construction or sustainable construction was not fully covered in this study. The findings will be beneficial for sustainable construction projects in developing countries for sustainability, although it did not extensively cover green buildings and related risks.

Supply chain risk is one of the major challenges facing the construction industry because construction projects are complex by nature involving a lot of activities and participants with different responsibilities and tasks therefore it is highly recommended to implement the proposed frameworks in this paper from the conceptualisation stage to the execution stage, carefully identifying parties involved in supply chain, supply chain management, stakeholders, tasks, activities, responsibilities and supply chain risks generated as a result of the interactions between stakeholders involved in supply chain management and coordination to realise project objectives. The findings will be a foundation for identifying and managing supply risks in sustainable buildings in developing countries.

Supply chain management is crucial in every enterprise. Managing supply chain risks is a major aspect of risk and disaster management and this implies that supply chain excellence is achievable by building communication, trust and mutual objectives, no blame culture, performance measurement, constant improvement and partnering.

The implementation of construction supply chain risk management framework involves assessing the impacts of these supply chain risks on the objectives of construction projects with respect to time, cost, safety, health, environment, stakeholders, financial performance, client satisfaction and quality.

This study examines the impact of inter-organisational justice (i.e. distributive, procedural and interactional) in the buyer–supplier relationship on supply risk and, in turn, on a firm’s marketing and financial performance.

A structured survey was administered both online and in-person to Jordan-based manufacturing companies. The 137 responses received were analysed using partial least structural equation modelling.

The study found that while establishing both procedural and interactional justice in the relationship has a negative impact on supply risk, promoting distributive justice, surprisingly, has no impact. Moreover, supply risk was found to be detrimental to the firm’s marketing and financial performance.

This study considers only the direct role of inter-organisational justice in reducing supply risk. Future research could enhance our understanding of this role by exploring the underlying mechanisms and conditions that could govern it.

Managers can alleviate supply risk by ensuring procedural and interactional justice in the relationship through involving suppliers in the decision-making processes, consistently adhering to established procedures and communicating transparent and ample information.

Addressing supply risk can help in maintaining community resilience and economic stability.

The study highlights inter-organisational justice as a new approach to mitigating supply risk. Moreover, by examining how supply risk can affect a firm’s marketing performance, it also highlights a new implication of supply risk. Furthermore, by exclusively examining the impact of supply risk on a firm’s financial performance, the study provides a more nuanced interpretation of the effect of supply risk and how it can be reduced.

The number of construction dispute cases has maintained a high growth trend in recent years. The effective exploration and management of construction contract risk can directly promote the overall performance of the project life cycle. The miss of clauses may result in a failure to match with standard contracts. If the contract, modified by the owner, omits key clauses, potential disputes may lead to contractors paying substantial compensation. Therefore, the identification of construction project contract missing clauses has heavily relied on the manual review technique, which is inefficient and highly restricted by personnel experience. The existing intelligent means only work for the contract query and storage. It is urgent to raise the level of intelligence for contract clause management. Therefore, this paper aims to propose an intelligent method to detect construction project contract missing clauses based on Natural Language Processing (NLP) and deep learning technology.

A complete classification scheme of contract clauses is designed based on NLP. First, construction contract texts are pre-processed and converted from unstructured natural language into structured digital vector form. Following the initial categorization, a multi-label classification of long text construction contract clauses is designed to preliminary identify whether the clause labels are missing. After the multi-label clause missing detection, the authors implement a clause similarity algorithm by creatively integrating the image detection thought, MatchPyramid model, with BERT to identify missing substantial content in the contract clauses.

1,322 construction project contracts were tested. Results showed that the accuracy of multi-label classification could reach 93%, the accuracy of similarity matching can reach 83%, and the recall rate and F1 mean of both can reach more than 0.7. The experimental results verify the feasibility of intelligently detecting contract risk through the NLP-based method to some extent.

NLP is adept at recognizing textual content and has shown promising results in some contract processing applications. However, the mostly used approaches of its utilization for risk detection in construction contract clauses predominantly are rule-based, which encounter challenges when handling intricate and lengthy engineering contracts. This paper introduces an NLP technique based on deep learning which reduces manual intervention and can autonomously identify and tag types of contractual deficiencies, aligning with the evolving complexities anticipated in future construction contracts. Moreover, this method achieves the recognition of extended contract clause texts. Ultimately, this approach boasts versatility; users simply need to adjust parameters such as segmentation based on language categories to detect omissions in contract clauses of diverse languages.

Due to the flexibility and proactivity emphasized by job crafting in today’s uncertain and complex era, scholars have preliminarily proved its positive consequences in the project context. Nevertheless, little is known about the task-related antecedents of job crafting in the construction project environment and whether these task factors can be further converted into project performance through job crafting of project teams, thereby motivating this study.

Drawing on the person-environment fit theory, this study hypothesized job crafting of construction project teams as a mediator that links the project task-related job resources (job autonomy and informal coordination) and job demands (time urgency and task complexity) with project performance. The proposed conceptual model was empirically validated with survey data from 244 members of construction project teams.

The results show that job autonomy and informal coordination motivate project teams to engage in job crafting and thus improve project performance. Further, the direct effect of task complexity on team job crafting and the indirect effect on project performance are negative. Moreover, informal coordination is found to buffer the negative impact of task complexity on team job crafting and project performance.

This research explores how construction task characteristics can be leveraged to boost project performance from a team proactivity perspective. The findings of this study offer novel insights into effectively incentivizing job crafting of project teams and transforming task characteristics into project performance within the construction management field.

This study aims to explore the underlying mechanism and boundary conditions of consumer’s preference on a multiple-percentage discount over an economically equivalent single discount.

The authors tested their predictions using two large-scale online experiments accompanied by a fully controlled laboratory experiment.

This study shows that the preference for a multiple-percentage discounts over an economically equivalent single-percentage discount is because consumers directly add the raw values of multiple-percentage discounts. The preference is less prominent if the percentage discounts are presented using round (vs non-round) numbers and is strengthened by experiential-thinking style.

This study examined consumer preferences between a single-percentage discount and an economic equivalent multiple-percentage discount. A promising research topic is exploring consumer preferences between multiple-percentage discounts.

Understanding how different presentation formats of the same price discount can lead to different evaluations enables managers and marketers to ensure a more effective promotional strategy.

This study extends literature on price-based promotions by demonstrating how consumers’ preferences for multiple discounts can be strengthened or weakened.

This study investigates firms' innovation behaviour under environmental change. Therefore, it examines the effect of trade disputes on corporate technological innovation and how product market competition moderates this relationship.

This research tests the hypotheses using the fixed effects model based on panel data of publicly listed enterprises in China from 2007–2020.

The empirical results validate the positive association between trade disputes and corporate research and development (R&D) intensity as well as the U-shaped relationship between trade disputes and radical innovation. Additionally, the moderating effect of product market competition is verified: a concentrated market with less competition flattens the U-shaped curve of radical innovation induced by trade disputes; as the market becomes more concentrated and less competitive, the U-shaped relationship eventually turns into an inverted U.

First, this study contributes to the corporate innovation and trade dispute literature by expanding the environmental antecedents of technological innovation and the firm-level consequences of trade disputes. Second, this study enriches the theoretical framework of the environment–innovation link through an integrated perspective of contingency theory and dynamic capabilities view. Third, instead of the traditional linear mindset which had led to contradictory results, this study explores a curvilinear effect in the environment–innovation relationship.

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.