6 research outputs found
Eco-Chic: le nuove frontiere della sostenibilità nella moda
No full textObiettivo del paper - Tale studio si propone di analizzare le pratiche emergenti per la sostenibilità nel settore della moda, evidenziando le tendenze attuali e i modelli di business innovativi che possono condurre le aziende verso una maggiore responsabilità ambientale e sociale.
Metodologia - Per comprendere le principali evoluzioni del dibattito accademico, è stata effettuata una disamina della letteratura relativa al periodo 1970-2010. Inoltre, è stata condotta una revisione della letteratura attraverso i database Scopus e Google Scholar, esaminando le pubblicazioni dal 2010 al 2023 per identificare le nuove tendenze in grado di promuovere la transizione del settore moda verso la sostenibilità.
Risultati - I risultati indicano un incremento degli studi sulla sostenibilità dal 2019, con un focus crescente sulla rendicontazione non finanziaria e sulle pratiche innovative, come l'uso di tecnologie avanzate e partnership strategiche.
Limiti della ricerca - La ricerca è limitata alla letteratura peer-reviewed in inglese, escludendo potenziali contributi in lingue diverse e da altri database. Inoltre, l’esistenza di differenti modelli di business potrebbe rendere opportune ulteriori ricerche empiriche al fine di esaminare come queste prassi possano essere adattate e applicate in contesti specifici.
Implicazioni pratiche - Le aziende del settore moda possono trarre vantaggio dalle evidenze emerse dall’analisi del dibattito accademico, adottando modelli di business e procedure responsabili e contribuendo, in tal modo, a promuovere un futuro più sostenibile per l'intero settore.
Originalità del paper - Questo studio offre una visione organica e integrata della letteratura esistente sulla sostenibilità nella moda e proponendo un quadro di insieme che collega le principali tematiche accademiche alle implementazioni di modelli di business sostenibili
Cybernetic Strategies: Fashion’s Sustainable Supply Chain Evolution with Ship-then-Shop
No full textPurpose – This study explores cybernetics and systems theory in the fashion supply chain, focusing on integrating predictive AI and the Ship-then-Shop model to enhance sustainability. It investigates how these innovations optimize resource allocation, reduce waste, and minimize environmental impact. The study also examines how AI insights align production with consumer demand, enhancing supply chain resilience and adaptability. This holistic approach aims to engage manufacturers, retailers, and consumers effectively, advancing toward a sustainable and efficient supply chain paradigm.
Design/methodology/approach – The study employed a comprehensive literature review, covering established and emerging sources from national and international scientific journals. It aimed to gain a thorough understanding of current knowledge and identify areas for future research. Additionally, the study explored the potential impacts of the ship-then-shop model on different supply chain stages, including consumer preferences, sourcing strategies, warehousing operations, production methods, and distribution processes. It also analyzed the handling and reintegration of returned products, emphasizing the model’s influence on reverse logistics and sustainability efforts.
Findings/Results – The fashion industry’s increasing focus on sustainability necessitates a holistic view of the supply chain. Employing systems theory and cybernetics, technologies like Blockchain and AI improve transparency and resource management. Predictive AI acts as a cybernetic control mechanism, adjusting to data changes to optimize supply chain decisions and predict consumer demands, enhancing flexibility and reducing waste. The Ship-then-Shop model operates as a feedback loop, allowing retailers to adjust inventory strategies based on consumer behavior insights. Integrating advanced technologies with cybernetic principles promotes a more efficient, sustainable, and consumer-centric fashion supply chain, improving operational efficiency and fostering consumer trust through better supply-demand alignment.
Originality/value – The research investigates predictive AI in fashion using cybernetics and systems theory, focusing on advancements in consumer preference analysis and product recommendations. It highlights AI’s role in understanding complex consumer behaviors in B2C interactions and creating personalized profiles, providing competitive advantages to retailers. Despite progress, gaps remain in understanding AI’s transformative impact in retail. The study explores integrating predictive AI into the Ship-then-Shop model to optimize resource allocation, minimize waste, and enhance sustainability. By analyzing feedback loops and information flows in AI-driven supply chain management, this research aims to uncover AI’s potential in fostering a more adaptive, resilient, and sustainable fashion supply chain.
Research/ Practical/ Social/ Environment implications - Implementing the ship-then-shop model offers significant cybernetics and systems theory benefits in three key areas. It enhances competitive advantage by leveraging predictive AI to address consumer preference uncertainties, optimize operations, and deliver personalized experiences. This model accelerates consumer searches and tailors offers, improving the shopping experience. Moreover, it supports sustainability by cutting production waste, prolonging product lifecycles, and minimizing environmental impact and resource depletion. Efficient logistics and transportation also reduce carbon emissions, aligning product regulations with consumer preferences and promoting an environmentally conscious fashion supply chain.
Research limitations - This study analyzes the ship-then-shop model in the fashion industry’s supply chain using theoretical frameworks and conceptual models. Despite offering conceptual insights, empirical validation is lacking. Future research should adopt an empirical approach with case studies and real-world data to assess the model’s impact on consumer experience, business performance, and sustainability. Integrating systems theory, cybernetics, and information theory could provide deeper insights into its effectiveness. Comparative studies across industries could also offer lessons for different contexts, highlighting implementation variations and impacts. This combined approach would enhance understanding of the ship-then-shop model’s implications for supply chain management and sustainability
Metaverse into Events: implications for Sustainable Development Goals
No full textThis paper explores the multifaceted implications of integrating digital tools and metaverse into events, with a specific focus on the Phygital Sustainability Expo. The metaverse, representing an innovative evolution of the internet, has significant potential to advance Sustainable Development Goals (SDGs), across diverse sectors. Through a conceptual-based observation, this research analyzes the impact of using the metaverse in events on Sustainable Development Goals (SDGs), including partnerships, inclusive education, and climate action. In addition, a predictive approach, using linear interpolation, is utilized to measure how much the metaverse may affect the magnitude of the event in the future. The findings contribute to bridging gaps in the current academic discourse surrounding the metaverse's intersection with sustainability offering actionable insights for entities navigating this evolving landscape. Limitations include the case study focus and the relatively short dataset timeframe, suggesting avenues for future research expansion
L’integrazione del Metaverso negli eventi: impatto sugli SDG’s e prospettive future
No full textL’articolo esplora le molteplici implicazioni dell’integrazione degli strumenti digitali e del metaverso negli eventi, con un focus specifico sul caso del Phygital Sustainability Expo. Il metaverso che rappresenta un’evoluzione innovativa di internet risulta avere un potenziale nel promuovere gli Obiettivi di Sviluppo Sostenibile (SDG’s) in diversi settori. Attraverso un’osservazione della letteratura, questa ricerca esaminale implicazioni dell’utilizzo del metaverso negli eventi sugli Obiettivi di Sviluppo Sostenibile (SDG’s). Inoltre, viene adottato un approccio predittivo, mediante interpolazione lineare, per misurare quanto l’utilizzo di tool digitali e del metaverso possano consentire il coinvolgimento di un più vasto pubblico e, congiuntamente, perseguire obiettivi correlati alla sostenibilità. I risultati contribuiscono a colmare le attuali lacune in letteratura riguardo l’intersezione del metaverso con la sostenibilità, offrendo spunti pratici per le imprese che si muovono in questo mondo ancora in evoluzione
Is PPP a tool for achieving Sustainable Development Goals? An empirical analysis in the Italian cultural heritage sector
No full textThis paper discusses the significance of Public-Private Partnerships (PPPs) in achieving sustainable development goals (SDGs) and analyses such partnerships in the context of fundraising strategies. The focus is on assessing the sensitivity of PPPs to sustainability concerns, especially when the State relies on external financing. The paper explores how collaboration between the private and public sectors aligns with the restoration and conservation of assets, financial returns for donors, and the pursuit of sustainable objectives.
Given the absence of a standardized ranking for sites based on SDG impact, the study investigates the willingness to finance sustainability among both financing actors and the public recipients. The study specifically examines the long-term effectiveness of the Italian ArtBonus tool in contributing to SDGs. Descriptive statistical analysis is carried out in order to provide a first analytical picture of the diffusion of the Italian tool of ArtBonus and deductive content analysis of three case studies is employed to evaluate the level of transparency of communication regarding the SDG's targets.
The research emphasizes the need for a consistent method for using SDG targets related to cultural heritage. A concrete reporting method is proposed, aiming to establish a dual commitment for receiving institutions, ensuring accountability at both the project's inception and conclusion. This approach encourages the integration of activities contributing to SDGs, providing guidelines for users and promoting transparency by requiring beneficiaries to inform the community about funded projects and their sustainability impact. Further research is recommended to expand the study and refine the reporting system
Public debt, North and South
No full textThe recent rise in domestic public nonmonetary debt and in domestic bond yields is imposing a heavier burden on governments in countries like Brazil and Mexico than foreign debt does. This is a relatively new experience for developing countries but not for OECD countries. Reisen's discussion of rising government indebtedness, therefore, includes the experiences of four developing (Brazil, Mexico, Korea, and Indonesia) and three highly indebted OECD countries (Belgium, Ireland, and Italy). The major determinants for government debt rising are: 1) external transfers, which imply an internal transfer of resources from the private to the public sector, 2) fiscal rigidities, because of failure to broaden tax bases and cut government consumption, 3) high interest rates coupled with low growth of GDP, and 4) massive devaluation of the real exchange rate and big swings in value among key currencies.Economic Theory&Research,Public Sector Economics&Finance,Banks&Banking Reform,Strategic Debt Management,Environmental Economics&Policies
