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This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.

The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.

The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.

The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.

Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.

This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.

This paper proposes an assessment method for lean and sustainability (LS) practices for shop-floor workers, designed to evaluate their current practice culture.

The method is developed in five phases: setting predefined indicators, constructing the assessment mechanism, implementing the assessment procedure, analyzing data and delivering results with recommendations. Validation is performed using two worker groups – line supervisors and operators – within the light-emitting diode (LED) manufacturing industry.

The results showed that workers’ familiarity and understanding of LS practices do not always correspond to their awareness levels. Key recommendations include prioritizing training for critical cases and adapting training approaches to fit the specific knowledge profiles identified.

Firstly, the company should integrate the proposed assessment into an online platform that can automatically generate individual statistical results and priority levels. This reduces the burden of manual work and makes large-scale assessments more practical. Secondly, the study should expand to other shop-floor workers, such as technicians and engineers, to assess their knowledge profiles for future LS development initiatives.

The recommendations provide managers and training departments with guidelines to revise current training approaches. The methodology is validated, enabling the identification and mapping of each worker’s knowledge profile.

This study presents an original assessment method for evaluating the knowledge profiles of shop-floor workers regarding LS practices. To the best of the authors’ knowledge, no prior literature has reported on an assessment method targeting this specific group. The proposed approach supports the decision-making process for better LS practices in the company.

Strategic flexibility (SF) has become increasingly important for firms because of the fast changes in the external environment. In line with the practical importance of SF, an emerging research field has developed around it that has attempted to understand the nature of SF and the key relationships. The aim of this study is to unveil the semantic structure of the recent literature on SF and to suggest new promising areas for future research.

The authors conduct a systematic literature review with a bibliographic analysis technique, which allows authors to identify the main recent streams in the literature, as well as offer reflections and suggestions for future research.

The authors uncover three main emerging areas in the research on SF, namely SF as a dynamic capability, the role of knowledge management for SF and the relationship between a firm SF and the external environment. The authors put forward three avenues for future research on SF: Avenue 1. SF, business model innovation (BMI) and other dynamic capabilities (DC), Avenue 2. Digital technologies and SF/organizational agility and Avenue 3. SF and sustainability. Articles included in the special issue entitled “A strategic perspective on flexibility, agility and adaptability in the digital era” contribute to Avenue 2, thus paving the way for filling some of the identified gaps regarding the relationship between SF and digitalization.

To the best of authors’ knowledge, this is the first literature review on SF that uses a bibliometric approach to draw conclusions on the findings in the literature. The review contributes to the theoretical understanding of SF by illustrating and explicating core topics that have persisted over time, as well as by presenting three main avenues for further developing authors’ knowledge around SF.

Sustainability represents innovative elements in determining the profitability of real estate investments, among other factors, including the green component in real estate. Evidence from the literature has pointed out that incorporating green features into residential buildings can reduce operational costs and increase the building’s value. Although green real estate is considered the future trend of choice, it is still being determined whether prospective buyers are willing to accept the extra cost of green residential investment. Therefore, this study aims to investigate the effect of housing attributes and green certification on residential real estate prices.

The impact of the housing attribute and green certification in the residential sectors was assessed using a transaction data set comprising approximately 861 residential units sold in Selangor, Malaysia, between 2014 and 2022. Linear and quantile regression were used in this study by using SPSS software for a robust result.

The findings indicate that the market price of residential properties in Malaysia is influenced by housing attributes, transaction types and Green Building Index certification. The empirical evidence from this study suggests that green certification significantly affects the sales price of residential properties in Malaysia. The findings of this research will help investors identify measurable factors that affect the transaction prices of green-certified residential real estate. These identifications will facilitate the development of strategic plans aimed at achieving sustainable rates of return in the sustainable residential real estate market.

Specifically, this research will contribute to achieving area 4 of the 11th Malaysia Plan, which pertains to pursuing green growth for sustainability and resilience. This will be achieved by enhancing awareness among investors and homebuyers regarding the importance of green residential buildings in contributing to the environment, the economy and society.

The regression model for housing attributes and green certification on house price developed in this study could offer valuable benefits to support and advance Malaysia in realising its medium and long-term goals for green technology.

Drawing on the co-creation literature and self-determination theory, this study takes a broader organisational perspective linking employees’ motivational antecedents (corporate brand socialization, employee brand identification and impression management) and employee-based brand co-creation (EBBC), with three employee-level outcomes: sales performance, employee resilience and adaptive selling. We therefore bridge the complex nexus between employees and organisational performance.

Survey data of 313 employees across industries and different-sized business-to-business (B2B) companies in China were collected. We used AMOS 21 to carry out structural equation modelling (SEM) for testing the main hypotheses.

The results reveal that EBBC is driven by external, internal and self-related motivations and leads to an increase in the three employee performance-related outcomes. The results further indicate that employees’ social media usage exerts contrasting moderating effects for each of the three motivational antecedents: While it strengthens the effect of employee identification on EBBC, it weakens the effect of corporate brand socialization on EBBC and exerts no effect on the relationship between impression management and EBBC.

This study confirms the effectiveness of EBBC in improving performance outcomes for B2B employees, particularly sales performance, resilience and job satisfaction, all of which are crucial for employee success. On the basis of our findings, in terms of employee satisfaction and performance, and in addition to conventional strategies and incentives, B2B organisations should encourage employee co-creation activities as outlined above, since such activities tend to impact these outcomes positively.

This study features and substantiates the self-related goal initiatives in EBBC, such as developing a sense of self-promotion desires and uncovers a moderator of the relationships between motivational antecedents and EBBC. These findings highlight the managerial relevance of specific motivational and psychological pathways in building employee brand co-creation behaviours, employee outcomes and organisational performance via employee sales.

The happy-productive worker hypothesis posits that employee well-being is an important factor in work performance. Educational institutions around the world are facing both internal and external pressures to integrate sustainability into their practices, with the goal of protecting the planet and ultimately boosting profits. This paper explores the potential wider benefits of sustainability, including its relationship with employee well-being and performance, by investigating the influence of organisational sustainability on the happy-productive worker hypothesis.

Educational institution employees from the UAE and USA (n = 199; 66.3% teachers) completed an online questionnaire measuring their well-being, perceptions of their organisations’ environmental sustainability and three self-reported job performance measures (task performance, contextual performance and counter-productive workplace behaviours). Regression and mediation analyses were conducted to test hypothesised relationships.

Both well-being and sustainability were positively associated with work performance. Furthermore, sustainability accounted for additional variance in performance beyond that accounted for by well-being. Sustainability partially mediated the relationship between well-being and performance, providing evidence of the importance of sustainability in the workplace.

This study contributes to an emerging field by investigating the relationship between an organisation’s sustainability and benefits of this for employees in terms of well-being as well as work performance. The findings provide further support for the happy-productive worker hypothesis and also the first evidence that educational institutions’ sustainability can mediate this relationship.

This paper aims to provide a broad overview of the corpus of studies on digital finance in relation to small and medium enterprises (SMEs) and startups.

Bibliometric analysis was used, allowing to investigate the relevant literature (735 articles). In accordance with best practices, relevant articles were identified on the topic following the PRISMA 2020 framework that ensures reproducible and rigorous results. The search then proceeds with performance analysis, identifying key trends at the intersection of research fields, including distribution of articles by year, citations by year, most cited contributions and most cited and prolific authors. This is followed by analyses of co-citation, co-authorship and co-occurrence with a detailed description of the thematic clusters identified.

Performance analysis shows that scholarly output covers a 12-year period, starting in 2011, and demonstrates a growing interest in this topic. Co-occurrence analysis reveals a significant intellectual structure which allows numerous knowledge gaps to emerge, and these offer new opportunities to be addressed in future research.

This study uniquely focuses on the evolution of the research domain related to digital finance associated with SMEs and startups. It provides implications for practitioners and avenues that researchers can develop in the future to produce impactful studies.

Sustainability transitions (STs) refer to large-scale step changes in complex systems required to face sustainability issues. We aim to delineate how they can unfold in service ecosystems, especially when inspired by regenerative thinking.

We develop a conceptual framework based on a processual view of STs and provide a propositional inventory based on literature leveraging deductive reasoning. Moreover, we contextualize our conceptualizations by showing illustrative examples of cities coping with STs.

We connect the perception of unsustainability with the shift toward service-dominant (S-D) logic and identify them as triggers of an ST; we focus on the role of nested service ecosystems and the adoption of regenerative thinking in STs; finally, we highlight the domino effect that can drive continuous change towards sustainability in service ecosystems. Future research could be focused on (loss of) sensemaking for driving STs, practical approaches to deal with institutional tensions in nested service ecosystems and the possible fractality of ST processes in service ecosystems.

This study supports the understanding of STs in cities and other systems such as industries, markets and organizations. It contributes to ST literature by suggesting the adoption of S-D logic and system lenses to identify, drive and cope with system changes toward sustainability, showing implications for policymakers and practitioners. Furthermore, it contributes to S-D logic by unfolding the self-adjustment of service ecosystems and the focus of sustainability initiatives on nested service ecosystems to sustain the broader systems. Finally, it contributes to transformative service research by identifying how the procedural and inspirational principles characterizing regenerative thinking can support design for STs.

The objective of this study is to accurately predict the cost of green buildings to provide quantifiable criteria for investment decisions from investors.

This study proposes a hybrid prediction model ML-based for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide independent characteristic terms. Moreover, the support vector machine (SVM) algorithm is improved to optimize the prediction results and integrated with parameter dimensionality reduction and cost prediction.

The prediction results show that the mean absolute and relative errors of the hybrid prediction model proposed in this study are equal to 39.78 and 0.02, respectively, which are much lower than those of the traditional SVM model and MRA prediction model. Moreover, the hybrid prediction model with parameter dimensionality reduction also achieved better prediction accuracy (R² = 0.319) and superior prediction accuracy for different cost terms.

Theoretically, the hybrid prediction model developed in this study can reliably predict the cost while accurately capturing the characteristics of GBPs, which is a bold attempt at a comprehensive approach. Practically, this study provides developers with a new ML-based prediction model that is capable of capturing the costs of projects with ambiguous definitions and complex characteristics.

We examined the dynamic volatility connectedness and diversification strategies among US real estate investment trusts (REITs) and green finance indices.

The DCC-GARCH dynamic connectedness framework and he DCC-GARCH t-copula model were employed in this study.

Using daily data from 2,206 observations spanning from 2 January 2015 to 31 January 2023 this paper presents the following findings: (1) cross-market spillovers exhibited a high correlation and significant fluctuations, particularly during extreme events; (2) our analysis confirmed that REIT acted as net receivers from other green indices, with the S&P North America Large-MidCap Carbon Efficient Index dominating the in-network volatility spillover; (3) this observation suggests asymmetric spillovers between the two markets and (4) a portfolio analysis was conducted using the DCC-GARCH t-copula framework to estimate hedging ratios and portfolio weights for these indices. When REIT and the Dow Jones US Select ESG REIT Index were simultaneously added to a risk-hedged portfolio, our findings indicated that no risk-hedging effect could be achieved. Moreover, the cost and performance of hedging green assets using REIT were found to be comparable.

We first examined the dynamic volatility connectedness and diversification strategies among US REITs and green finance indices. The outcomes of this study carry practical implications for market participants.