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Authenticity as a Double-Edged Sword in Female Digital Entrepreneurship: The Case of Chiara Ferragni
No full textPurpose: This study examines how legitimacy and authenticity shape the emergence and consequences of socialwashing (SW) in female digital entrepreneurship, where authenticity functions simultaneously as an economic asset and a site of tension in digitally mediated entrepreneurial practice.
Methodology: Using a qualitative design, the study draws on 30 news articles, 2 videos, and a 25-page regulatory decision, analysed through content analysis. Scandals are conceptualised not simply as sequences of misconduct, but as socially constructed processes arising from public communication, moral evaluation, and media amplification. The use of multiple data sources provides a holistic account of entrepreneurial reputation dynamics while mitigating the bias associated with a single source.
Findings: The analysis shows that pursuing rapid legitimacy or perceived authenticity can trigger SW in digital entrepreneurial ventures. Once exposed, SW generates severe entrepreneurial consequences, including reputational damage, consumer scepticism, measurable follower decline, and loss of commercial partnerships. In female digital entrepreneurship, where ventures are closely tied to personal brands, legitimacy is particularly fragile; once authenticity is questioned, recovery is challenging, underscoring the gendered vulnerability of small, platform-based ventures.
Originality: This study adds to entrepreneurship research by showing how SW can emerge as a practical risk for digital entrepreneurs. It demonstrates how women influencers use social and charitable claims to build credibility and visibility, while also revealing how these strategies can backfire when authenticity is questioned. By focusing on platform-based ventures and personal branding, the study provides new insight into how trust and reputation are built, challenged, and difficult to repair.
Implications: The findings offer practical guidance for digital entrepreneurs, small business owners, and policymakers regarding transparency and credibility in social claims, especially in ventures involving charities or social initiatives. For entrepreneurship research, the study advances understanding of how gender, authenticity, and social legitimacy intersect in digitally mediated, small-scale ventures, providing a framework for analysing symbolic CSR, reputation management, and legitimacy recovery in platform-based entrepreneurship
PROFILI FENOMENOLOGICI DEL “DOGMA CAUSALE”: INVOLUZIONI APPLICATIVE E PROBLEMATICHE PROIEZIONI ‘ESTERNE’ DEL METODO “FRANZESE”
No full textIl contributo ha ad oggetto alcune rilevanti criticità palesate dal "dogma causale" sul piano teorico ed applicativo
INDUSTRIAL HERITAGE REUSE: A SYSTEMIC DESIGN PROCESS FROM KNOWLEDGE TO INTERVENTION. EXAMPLES IN TUSCANY
No full textAbandoned and disused industrial sites across the country and locally are a long-known phenomenon; however, numerous questions remain as to understanding the causes. The definition of a systemic design process for recovery, reuse and
regeneration cannot ignore the social community of reference and the verification of regulatory planning tools and real estate dynamics. It is therefore necessary to develop greater awareness of disused industrial sites or buildings within a geographical area, starting with a realistic analysis, investigating the phenomenon that led to their disuse and subsequently identifying possible contextualised strategies for their recovery and transformation. This is a selection of the results of extensive research, begun in the early 2000s, which analyses 33 case studies in Tuscany, from their transformation to the problems that, in many cases, cause permanent abandonment. The use of consolidated reading tools such as technological and functional descriptions, with the drafting of 165 analysis sheets, systematises the peculiarities and issues related to the possibility of restoring the analysed artefacts, assessing whether they have been restored and their intended use, so as to draw up design guidelines for functional recovery in a contemporary and strategic manner for the future of the building itself and for the
resident community
Natural, small molecule aliphatics (cholesterol and hexadecyl palmitate) as dielectrics for low-voltage organic field effect transistors
No full textIn this study, we show that hexadecyl palmitate and cholesterol, two naturally occurring small molecule aliphatics, are suitable dielectrics for organic field effect transistors (OFETs). We provide a comprehensive description of their material characteristics, processability, and film-forming capabilities, as well as surface characterization and dielectric analysis. We finally employ them for the fabrication of organic field effect transistors, employing two traditional organic semiconductors, pentacene and fullerene, C60. We demonstrate that most OFETs can function with operating voltage windows as low as 1 V, and driving voltages as low as 10 mV, when these materials solubilized in chloroform, are fabricated utilizing blade coating technique
Social Media e valore economico
No full textIl contributo mira ad identificare e analizzare le fonti del valore che emergono dall'impiego dei social medie a propone alcune vie per una loro valutazione economico
Memory for repeated auditory textures
No full textEven though memory plays a pervasive role in perception, the nature of the memory traces left by past sounds is still largely mysterious. Here, we probed the memory for natural auditory textures. For such stochastic sounds, two types of representations have been put forward: a representation based on sets of temporally local features, or a representation based on time-averaged summary statistics. We synthesized naturalistic texture exemplars and used them in an implicit memory paradigm based on repetition, previously shown to induce rapid learning for artificial sounds such as white noise. Results were similar for artificial and natural sounds, exhibiting a general trend for a decrease in repetition detection performance with increasing exemplar duration, although with some variation depending on texture type. This trend could be captured by a summary statistics model, but also by a new model based on the random sampling of temporally local features. Moreover, repeated exposure to a same natural texture or artificial noise exemplar systematically induced a performance gain, which was comparable across all sound types and exemplar durations. Thus, natural texture exemplars were amenable to learning when repeated exposure was available. The findings are consistent with two interpretations: the existence of a special processing mode when acoustic repetition is involved, to which natural textures are not immune, or a convergence of the local features versus summary statistics descriptions if a continuum of time scales is considered for auditory representations
An anti-sandwich mechanism for EVM's smart contracts
No full textWith the advent of blockchain, Decentralised Finance (DeFi) has become an accessible and decentralised method for financial services. One of the most important components of DeFi is the Decentralised Exchanges (DEXs), smart contracts that let users exchange tokens with each other. Trading through DEXs has become crucial in the blockchain ecosystem; however, new malicious activities have begun to spread in parallel. The Maximal Extractable Value (MEV) is becoming pervasive. In this paper, we propose an analysis of the magnitude of MEV activities and a new solution to prevent sandwich attacks after a deep overview of the current anti-MEV approaches. We focused on sandwich attacks because they are the most common MEV attacks (1,330,732 attacks within our 3-year-wide dataset) and cause significant losses to end users ($809,453,320 recorded in our dataset). Our proposed solution prevents sandwich attacks by enhancing token contracts to enforce a cooldown for transferring tokens. Unlike existing approaches, this solution can be easily integrated into any token contract, providing developers with a versatile and customisable MEV solution. Additionally, we extensively evaluate our solution and show that it successfully blocks all sandwich attacks, prove that it does not cause any harm to normal users, and compute that it only introduces a small 3 % gas fee increase
