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Found 5152 publications
A review of hydrogen energy in renewable energy supply chain finance
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Energy supply chain participants recognise the benefits of hydrogen energy in accelerating the energy transition and meeting the global energy demand. However, concerns remain regarding the financial viability of hydrogen energy supply chain operations. The construct of supply chain finance (SCF) in renewable energy networks has received significant attention as stakeholders perceive its benefits in improving liquidity, financial performance, and competitiveness. Despite the increasing volume of SCF-related studies on renewable energy networks, there is a dearth of articles that extensively review extant literature to identify SCF capabilities suitable for hydrogen energy networks, propose a comprehensive framework of hydrogen energy-SCF, and provide actionable insights into future research directions. This study addresses this limitation by conducting a state-of-the-art systematic literature review (SLR) of 75 candidate articles, which were analysed using template analysis to uncover the existing research trends and distil key hydrogen energy-SCF themes. The study uniquely develops a holistic framework of hydrogen energy-SCF, addressing key drivers including environmental sustainability, financial considerations, policies, technologies, and SCF initiatives. Moreover, this study offers fresh perspectives on SCF initiatives specific to hydrogen energy networks, emphasizing their importance for energy security and sustainability. Importantly, gaps in the literature are identified, upon which future research opportunities are proposed. The findings position hydrogen energy-SCF not only as a game-changer for the transition of global energy systems but also provide both practical and theoretical insights for academics and industry stakeholders.
Open Access: Yes
High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
The control of a dc motor drive system is performed using two Proportional-Integral (PI) controllers, mostly comprising the outer (speed) and inner (torque) loops. However, the tuning of the PI controllers is challenging, because of the significant overshoot and substantial settling time. The overshoot cannot be absolutely removed without sacrificing the speediness. In this paper, an experimental implementation of Adaptive Neuro-Fuzzy Inference System (ANFIS) based high-precision controllers for a dc motor drive system is presented for eliminating the overshoot contemporaneously improving the settling time. In this regard, for fair comparison, Bode Plot method is used for obtaining most satisfactory values of Kp and Ki of both the controllers and the performance of the proposed ANFIS controllers is compared with the tuned PI controllers. For the sake of validation, an experimental setup, a 2-quadrant dc motor drive based on DS1104 R&D controller board from dSPACE is used. The designed ANFIS controllers are implemented and also authenticated using simulations. The obtained simulation as well as experimental results indicated that the ANFIS controller successfully eliminates the overshoot and significantly improves settling time. Thereby, outclass the tuned PI controllers by giving experimental results as 0% overshoot and just 0.18 s settling time.
Open Access: Yes
Building organizational resilience in emerging economies: Strategic insights from Bangladesh
Publication Name: Sustainable Futures
Publication Date: 2025-12-01
Volume: 10
Issue: Unknown
Page Range: Unknown
Description:
Organizational resilience is a key aspect for sustaining comparative benefit and performance amidst uncertainties such as pandemics, political volatility, and financial crises. Despite its significance, limited studies have explored the potential sufficient solutions to resilience-enabling constructs, especially in emerging economies. This research combines the Resource-Based View (RBV) and Transaction Cost Economics (TCE) to propose a theoretical framework for understanding and predicting organizational resilience. Using survey data from 348 respondents serving corporate industries in Bangladesh, we employ Necessary Condition Analysis (NCA) and fuzzy set Qualitative Comparative Analysis (fsQCA) to identify causal configurations to predict organizational resilience. The findings reveal five configurations that are sufficient for achieving high resilience and four configurations associated with low resilience, highlighting the nuanced interplay between resources, costs, and adaptability. Specifically, flexibility, response, recovery, benevolence, and commitment must need conditions for achieving organizational resilience in NCA analysis. In fsQCA analysis, flexibility and commitment are core conditions, whereas response and information sharing are peripheral conditions for achieving high organizational resilience. This study strengthens resilient strategies by demonstrating the supplementary contributions of RBV and TCE. This combination offers policymakers actionable insights to develop resilient strategies that enhance organizational adaptability and performance in turbulent times.
Open Access: Yes
Halal tourism research in Indonesian context: a bibliometric analysis
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Halal tourism is a growing sector of tourism that has attracted considerable attention in recent years due to its potential for economic growth and the need to meet the demands of Muslim travelers. This study aims to provide a comprehensive overview of halal tourism research in Indonesia through the utilization of bibliometric approach. The study utilizes Scopus database to analyze the publication trends, co-authorship, and thematic analysis, as well as the future research directions on this field in the context of Indonesia spanning the years 2017 to 2024. The findings indicate that there is a disparity in the involvement of authors and affiliations from Indonesia in terms of publications. The results show consistent growth in Indonesian publications, but emphasize the need for better quality and global dissemination. Moreover, the findings suggest that Indonesia plays a key role in the development of tourism in Indonesia due to its Muslim population and integration of Islamic principles in education and tourism. These findings highlight the importance of understanding Muslims tourists’ behavior, political economy influences, and service quality in different regions of Indonesia, thereby informing policy-making, industry practices, and future research agendas in this field.
Open Access: Yes
Pathways to asbestos-free and sustainable cities using multi-level perspective approach
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Urban policymakers, researchers, and municipal planners increasingly face the challenge of managing complex sustainability transitions, particularly in contexts involving persistent environmental hazards such as asbestos contamination. This systematic review applies the Multi-Level Perspective (MLP), which examines interactions between niche innovations, socio-technical regimes, and broader landscapes, to the underexplored area of asbestos-free urban transitions. The concept of an “asbestos-free city” is introduced in this paper as a novel analytical lens to describe urban transitions aiming to eliminate asbestos-related risks through systemic, sustainable interventions. The review was conducted through a structured qualitative analysis of peer-reviewed academic literature, guided by predefined thematic criteria and relevance to urban asbestos-related transitions. The review highlights the factors that enable or hinder the adoption of asbestos-free and strong sustainable solutions, as well as the role of various actors, such as policymakers, industry, and civil society, in driving these transitions. Despite the growing body of work on sustainability transitions, the integration of MLP into asbestos-related urban transformation remains limited. This paper fills that gap by offering a structured synthesis and proposing a roadmap for future research and practice. Our findings provide actionable insights for actors across policy, civil society, and industry seeking to accelerate transitions toward asbestos-free and sustainable cities.
Open Access: Yes
Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
In modern power engineering, the optimal operation aims to achieve the basic requirements of the electrical power grid, meet various technical and economic aspects, and preserve the environmental limits within their accepted bounds. In this line, the current paper finds the optimal operational scheduling of the power generation units that cover the load requirements, considering different frameworks of the optimal power flow (OPF) problem involving single- and multi-objective functions. Technical, economic, and emissions objective functions are considered. Artificial rabbits’ optimization (ARO) is developed to find the optimal OPF framework solution. The effectiveness of the proposed algorithm is evaluated through a comprehensive comparison study with the existing works in the literature. With six IEEE standard power systems, 22 different cases are implemented to test the ARO performance as an alternative to solve the OPF problem. Two of these systems are considered small-size systems, 30-, and 57-test systems, while the other four are large-scale power systems (IEEE 300, 1354, 3012, and 9241 test systems) to expand the validation scope of this paper. This comparison validates the scalability and efficiency of the ARO algorithm. The impact of varied population size and maximum iteration number is tested for two test systems, the most benchmarking test systems. It was proven that the routine of ARO has robust and superior competitive performance compared with others at fine convergence rates. Significant improvements are acquired in the range of 47% in the technical and economic issues by accepting the environmental concerns.
Open Access: Yes
Understanding patient perception of digital value co-creation in electronic health record through clustering approach
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
Patients are central to healthcare services, and comprehending their perceptions is crucial for fostering effective value co-creation. This study aimed to investigate the user characteristics and perceptions of value co-creation within the context of Mobile Electronic Health Records (EHR). Using a questionnaire collected from 422 patients, the study employed the K-modes clustering algorithm in R-Studio to group users based on shared characteristics and perceptions of value co-creation. The analysis revealed three distinct user clusters, which are high familiarity-positive perception, low familiarity-positive perception and high familiarity-neutral to negative perception. These clusters characterized by unique attributes such as socio-economic, history of medical visit, intention to use, technological familiarity, and different perception of value co-creation in Mobile EHR systems. Descriptive statistics were used to further interpret the clusters, revealing differences in user characteristics and perception across cluster. The findings emphasize the importance of alignment between user expectations and system interactions. Effective alignment fosters value co-creation through resource access, sharing, integration, and recombination, while misalignment may result in value destruction. This study highlights the need to design and implement Mobile EHR systems that align with the diverse characteristics and of their users to enhance engagement and promote value co-creation.
Open Access: Yes
The impact of changing energy prices, interest rates, and investment costs on the net present value and internal rate of return for alternative energy projects
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
This study investigates how changes in energy prices, interest rates, and investment costs impact the Net Present Value (NPV) and Internal Rate of Return (IRR) of three alternative energy projects: a solar PV (photovoltaic) system, a woodchip-fired boiler, and a heat pump system. Rather than comparing these projects directly, the paper aims to illustrate how returns on alternative energy investments have evolved under economic conditions specific to Hungary. The central focus of this study is to highlight the economic rationality of postponement decisions which is one of the most adverse effects of unpredictability, in addition to the numerous inhibiting factors listed in the professional literature. In conclusion, this study highlights the inherent risks in making investment decisions at any single time for projects expected to yield returns over the long term, emphasising the importance of evaluating the main factors that affect potential returns. In all three projects, the application of random shocks shows that the probability of a negative net present value, i.e. non-return on project expenditure, is greater than 55%. Through the case studies presented, the study shows that the state has a role to play in reducing risk by providing investment subsidies, tax incentives, favourable fixed-rate credit schemes and a predictable regulatory environment.
Open Access: Yes
Optimal design of agro-residue filled poly(lactic acid) biocomposites using an integrated CRITIC-CoCoSo multi-criteria decision-making approach
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
In recent years, there has been a rise in environmental awareness, leading to increased efforts to develop eco-friendly materials as alternatives to petroleum-based polymers. This study examined the performance optimization of poly(lactic acid) (PLA) biocomposites filled with agricultural byproducts at concentrations ranging from 0 to 20% by weight, highlighting their potential as substitutes for commodity plastics. The agro-residues used as fillers were flax seed meal and rapeseed straw. A hybrid decision-making algorithm was proposed, utilizing the “criteria importance through inter-criteria correlation” (CRITIC) alongside the “combined compromise solution” (CoCoSo), aimed at identifying the optimal alternative among the evaluated samples. The algorithm considered several attributes, including mechanical traits evaluated via tensile, flexural, and impact tests, hardness, water absorption, biodegradation, and production cost. The findings revealed that the strength properties, including tensile, flexural, impact, and water absorption, were most advantageous for neat PLA. In contrast, the highest modulus values were recorded for the biocomposite filled with 20 wt% rapeseed straw. The biocomposites exhibit increased hardness as agro-waste content rose, with the highest hardness observed in the biocomposite filled with 20 wt% flax seed meal. The study on biodegradation indicates that a higher content of agro-waste promotes disintegration, with flax seed meal emerging as the most effective additive in this context. The findings show that adding various agricultural byproducts in varying amounts affects the evaluated properties differently. Hence, the hybrid CRITIC-CoCoSo optimization approach is utilized to choose the optimal biocomposite. The findings show that the biocomposite with 20 wt% rapeseed straw demonstrated optimal physico-mechanical and biodegradation properties, making it a promising eco-friendly alternative for future applications.
Open Access: Yes
