Inclusive innovation and green growth in advanced economies DOI
Irsan Hardi, Ghalieb Mutig Idroes,

Laura Márquez-Ramos

и другие.

Sustainable Futures, Год журнала: 2025, Номер 9, С. 100540 - 100540

Опубликована: Март 24, 2025

Язык: Английский

Discussion on the Relation Between Carbon Emissions and Solid Waste Management to Develop a Sustainable Business Model DOI Open Access
Cemre Avşar, Ertuğrul Çelık, Suna Ertunç

и другие.

Environmental Quality Management, Год журнала: 2025, Номер 34(3)

Опубликована: Янв. 5, 2025

ABSTRACT Increasing environmental issues, such as climate change and industrial waste management, have been putting pressure on developing novel efficient solutions. Besides, global population increase is another increasing challenge for humanity in terms of adequate secure food supply. The Merseburg process, the conversion reaction gypsum with ammonium carbonate to yield sulfate calcium carbonate, offers dual advantages against warming solid management issues. Another advantage process production sulfate, an agriculturally valuable fertilizer. Utilization would be strategically important since it provides both consumption phosphogypsum low‐cost raw material supply together carbon dioxide consumption. This mini‐review gives a detailed discussion semi‐batch production, followed by conversion, which can alternative operation feed strategy conducted ternary‐multiphase system. paper also resource utilization route phosphogypsum, including CO 2 sequestration production.

Язык: Английский

Процитировано

0

Green creativity and business sustainability: the influence of dynamic capabilities, technology adoption, business strategies and knowledge management DOI
Mehmet Bağış, Zafer Adıgüzel, Bablu Kumar Dhar

и другие.

Business Process Management Journal, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Purpose The increasing global emphasis on environmental sustainability necessitates a better understanding of the antecedents green creativity (GC) and business (BSE). However, research this topic is limited, these have not been examined holistically. Considering gap, in study, we interconnected roles dynamic capabilities (GDC), technology adoption (GTA), strategies (GBS) knowledge management (GKM) influencing GC BSE. Design/methodology/approach We collected data through surveys applied to 874 companies operating manufacturing service sectors Turkey analyzed using partial least squares structural equation modeling (PLS-SEM) method. Findings study shows that GDC positively influence GBS, GKM. Additionally, GTA affects BSE GBS only impacts GC, while GKM influences Our mediation analysis results indicate mediates relationships between GDC–GTA GC. Furthermore, relationship Similarly, GC–BSE. Finally, it was determined Research limitations/implications focus Türkiye limits generalizability findings. Future can examine variables different geographical industrial settings provide deeper insights into causal mechanisms underlying relationships. Practical implications actionable for aiming improve their practices. In addition, managers use strengthen GKM, thus realizing positive importance integrating take challenges account emphasized. Originality/value one important studies comprehensively interaction GDC, GTA, provides transformation efforts emerging economies, expanding literature beyond sector include sector.

Язык: Английский

Процитировано

0

Machine Learning for the Optimization and Performance Prediction of Solid Oxide Electrolysis Cells: A Review DOI Open Access

Mahmoud Makki Abadi,

Mohammad Mehdi Rashidi

Processes, Год журнала: 2025, Номер 13(3), С. 875 - 875

Опубликована: Март 16, 2025

Solid oxide electrolysis cells (SOECs) represent a promising technology because they have the potential to achieve greater efficiency than existing methods, making them strong candidate for sustainable hydrogen production. SOECs utilize solid electrolyte, which facilitates migration of oxygen ions while maintaining gas impermeability at temperatures between 600 °C and 900 °C. This review provides an overview recent advancements in research development intersection machine learning technology. It emphasizes how data-driven methods can improve performance prediction, facilitate material discovery, enhance operational efficiency, with particular focus on materials cathode-supported cells. paper also addresses challenges associated implementing SOECs, such as data scarcity need robust validation techniques. aims address related degradation intricate electrochemical behaviors observed SOECs. description reactions that may be involved mechanisms, taking into account thermodynamic kinetic factors. information is utilized construct fault tree, helps categorize various faults enhances understanding relationship their causes symptoms.

Язык: Английский

Процитировано

0

Inclusive innovation and green growth in advanced economies DOI
Irsan Hardi, Ghalieb Mutig Idroes,

Laura Márquez-Ramos

и другие.

Sustainable Futures, Год журнала: 2025, Номер 9, С. 100540 - 100540

Опубликована: Март 24, 2025

Язык: Английский

Процитировано

0