This study proposes an investment evaluation and incentive allocation model for public-private partnerships (PPPs) in renewable energy development projects (REDPs). A hybrid multicriteria decision-making (MCDM) and bi-level optimization model are proposed to evaluate investment opportunities and allocate government financial incentives (GFIs) to REDPs. The best-worst method (BWM) is used to weigh the evaluation criteria. VIKOR and grey relational analysis (GRA) rank and allocate GFIs to the private sector companies selected to participate in the REDPs. The government uses the PPP to persuade digital services companies in the private sector to invest in underdeveloped REDPs using financial incentives with minimal risk and maximum return. An iterative full-enumeration-based heuristic model is developed to handle the computational intractability in the bi-level model. The computational results show that political and financial support and land use are the most and the least important criteria, respectively. Moreover, we show that the government prefers to allocate a significant portion of its GFIs to waste heat recovery and hydropower in partnership with digital services companies. The results from the bi-level model help government agencies and policymakers offer equitable incentive programs in the energy sectors. © 2024 Elsevier B.V., All rights reserved.

This study explores the adequacy of the CRETA-R framework as a teaching resource and the reliability of AI-based assessment using ChatGPT. A mixed-methods design was applied with 427 university students completing a structured task evaluated by both professors and ChatGPT. Quantitative analysis employed Kendall’s tau-b and the Wilcoxon test to compare scores, while qualitative clustering examined student performance across CRETA-R dimensions. Results showed no significant differences between human and AI evaluations, with high alignment in scoring criteria. However, students struggled with prompt refinement and example integration. The strongest predictors of high performance were the Role, Adjustment, and Refinement components. The findings support the use of AI as a viable tool for structured academic assessment, though outcomes are highly dependent on prompt quality. The study highlights the importance of AI literacy and structured prompt design to ensure consistent and pedagogically meaningful evaluation. © 2025 Elsevier B.V., All rights reserved.

Initial coin offerings (ICOs) have emerged as a modern alternative financing instrument capable of connecting economic agents, entrepreneurs, and investors from all over the world. The benefits of blockchain technology in terms of privacy, security, and immutability make these financing tools particularly attractive. In this article, we analyze ICOs through the world’s largest global database of ICOs. The analysis has been carried out through fsQCA methodology to a sample of 75 projects funded through this funding tool and aims to answer what are the possible ways to achieve success in fundraising in an ICO. The results shed light on the importance of financial factors, such as the risk of the operation, but also related to communication and user communities for the success or failure of these campaigns. The aim of this article is to provide entrepreneurs with a tool to help them plan their ICOs, develop them in a suitable way to attract the largest amount of funds, and mobilize investors’ resources, achieving a synergy between the entrepreneur and the investor, with impactful, innovative, and profitable projects. It is also intended to contribute to the academic development of the subject with comparative qualitative studies. © 2024 Elsevier B.V., All rights reserved.

Kinomichi is a movement art of Japanese origin based on the martial art of Aikido. It is based on the Japanese tradition known as Budo, which can be translated as a form of self-knowledge and personal development through martial practice. It was created by Aikido master Masamichi Noro (1935-2013) after a serious traffic accident in 1966. Noro adapted Aikido, minimised the physical demands and incorporated therapeutic exercises so that people with motor limitations could also practice it. Our aim is to analyse the therapeutic potential of Kinomichi by determining the Western therapies on which it is based. A systematic search of six databases was conducted using PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. The search yielded 118 results, of which seven met the inclusion criteria (n = 7) and were found in the EBSCOHOST and Google Scholar databases. The Western therapeutic methods incorporated in the Kinomichi were the following (n = 9): Alexander Technique; Gindler Method; Ehrenfried Method; Kabat Method; Feldenkrais Method; Eutonia Method; Mézières Method; GDS-Godolieve Denys-Struyf Method and Antigymnastics Method. It justifies the need for quantitative experimental or quasi-experimental studies to verify the hypothetical benefits of Kinomichi as a therapeutic exercise. © 2024 Elsevier B.V., All rights reserved.

Purpose: Organizational sustainability in the changing market requires adequate management of resources and opportunities; thus, entrepreneurship and digitization have acquired special relevance as key elements in the training programs offered for employee’s development. In order to analyze whether employee motivations influence corporate entrepreneurial development and consider the influence of this type of training program on intrapreneurial activity, a survey of 241 small and medium-sized enterprises (SMEs) in the Community of Madrid was carried out. Design/methodology/approach: The analysis was conducted using the fuzzy set qualitative comparative analysis (fsQCA) methodology. Findings: This analysis provides a new perspective for the research of the training programs proposed and puts forward recommendations to achieve an approach that favors entrepreneurial development. The paper concludes by discussing the implications for managers and business leaders and showing actions to integrate digitalization with transversal value for continuous and sustainable development. Originality/value: The value of this article lies in demonstrating that training in entrepreneurial skills or digital tools is not a necessary variable for the presence of entrepreneurship in the organization; however, an absence of training in these areas does imply that intrapreneurial characteristics do not develop. © 2024 Elsevier B.V., All rights reserved.

Many studies are available on the relationship between natural resources, economic growth, and sustainable development; however, studies on the influence of debt servicing and its role in sustainable economic growth in poor economies are missing. This study explores the influence of natural resources and debt servicing on the economic growth of highly indebted poor economies between 1988 and 2021, including the role of renewable electricity output. Various time-series approaches were employed, including unit root tests (ADF with and without break years, DF-GLS) and Bayer-Hanck cointegration. The empirical evidence indicates a positive contribution of natural resource rents, like natural gas and coal, to economic growth. Preliminary findings were offered by utilizing FMOLS, DOLS, and CCR, and to ascertain the precision, robustness techniques varied from parametric to nonparametric analyses were employed. Conversely, renewable electricity output reduces long-term economic growth. These outcomes were confirmed by robust regression analysis, structural breaks, simple least squares, and quantile regression. The research provides policy implications for the prudent use of external debts, natural resources, and renewable electricity output for sustainable economic growth. © 2024 Elsevier B.V., All rights reserved.

The judicialization of climate change has emerged as a key mechanism for demanding environmental protection in response to state inaction. Through the analysis of environmental principles such as precaution, non-regression, and sustainable development, this study examines the growing role of the judiciary in climate governance. It also addresses the legal and political challenges of this trend, including the tension between judicial activism and the separation of powers, as well as the effectiveness of climate rulings. In this context, the need to consolidate a hybrid model of environmental protection that combines strategic litigation with robust regulatory frameworks is proposed, ensuring the effective safeguarding of the right to a healthy environment. © 2025 Elsevier B.V., All rights reserved.

Purpose: This study investigates the effects of institutional pressures on the adoption of supply chain analytics (SCA) and its subsequent impact on supply chain (SC) innovation and frugal innovation. It also examines the correlation between SC innovation and frugal innovation. Design/methodology/approach: The study collected data from manufacturing companies in Jordan. PLS path analysis is applied. Findings: The PLS path analysis showed that coercive pressures did not significantly affect the outcome, but both normative and mimetic ones were found to have significant effects on SCA adoption. The study also shows that SCA plays a significant role in SC innovation and frugal innovation. Furthermore, it demonstrates that SC innovation significantly impacts frugal innovation. Originality/value: Overall, these findings provide valuable theoretical implications to the literature by advancing our understanding of the interactive relationships between institutional pressures, SCA, SC innovation and frugal innovation. Understanding the role that institutional pressures play in SCA adoption and its subsequent impact on SC innovation and frugal innovation enables organizations to strategically position themselves for competitive advantage and sustainable growth within the dynamic field of supply chain management. © 2025 Elsevier B.V., All rights reserved.