Women Entrepreneurs in Italy: A prosopographic Study

Women entrepreneurs have long been an understudied topic in business history. This paper contributes to fill this gap by analyzing Italian women’s entrepreneurship from the mid-20th century to 2016. It is based on a new dataset concerning the profiles of the 80 women who were successful entrepreneurs and became Cavalieri del Lavoro (Knights of Labour), i.e., they were decorated with the Ordine al “Merito del Lavoro” (Order of Merit for Labour), the highest recognition for achievements in the world of business in Italy. The dataset also includes a comparable balanced sample of men who obtained the same award to single out the main similarities and differences between men and women entrepreneurs. This paper employs a quantitative prosopographic approach: after presenting some descriptive statistics and some exemplary cases of women entrepreneurs, it uses cluster analysis to identify typological groups of women versus men entrepreneurs. This paper show that the institutional context and gender stereotypes slowed down the development of Italian women’s entrepreneurial abilities. Women entrepreneurs tend to cluster in family firms and to have become entrepreneurs by inheritance, whereas they have been handicapped in all other fields relevant to entrepreneurial success: access to education (especially STEM), managerial career and experience abroad. Nonetheless, women entrepreneurs operated beyond women’s niches tied to the traditional ideology of femininity, e.g., textiles, garment and services. Several women operated in sectors such as chemicals and engineering in which many Italian industrial districts are specialized

Disastri Naturali e Dynamic Capabilities nel Commercio

Il presente contributo descrive i primi risultati emersi da un’indagine esplorativa volta ad esaminare l’impatto che il terremoto del 2012 ha prodotto sulle attività commerciali al dettaglio della bassa emiliana. L’obiettivo specifico è quello di analizzare la capacità di risposta di tali tipologie di imprese all’evento critico adottando la prospettiva teorica delle capacità dinamiche. Si tratta di temi che la letteratura corrente non ha affrontato in modo sistematico ed adeguato in condizioni di criticità, soprattutto con riferimento al contesto della distribuzione al dettaglio. La metodologia scelta si è basata sull’utilizzo di strumenti di analisi qualitativa quali focus group e interviste semi-strutturate a un campione di dettaglianti colpiti dal sisma, caratterizzati da diverse specializzazioni merceologiche e parametri dimensionali. I primi risultati hanno evidenziato le risorse e le competenze ritenute necessarie per essere competitivi prima del sisma (qualità del servizio e assistenza alla clientela nel momento della vendita), nella gestione dell’evento critico (tempestività di reazione, creatività e flessibilità nella gestione dell’emergenza, sia nei rapporti con la clientela che con i fornitori; la necessità di rivedere l’offerta e di modificare l’assortimento) e in prospettiva futura (capacità di lettura del mercato, innovazione, acquisizione di nuove competenze tramite percorsi di formazione). Ne emergono alcune implicazioni manageriali e di policy

The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states

Finding precise signatures of different brain states is a central, unsolved question in neuroscience. We reformulated the problem to quantify the 'inside out' balance of intrinsic and extrinsic brain dynamics in brain states. The difference in brain state can be described as differences in the detailed causal interactions found in the underlying intrinsic brain dynamics. We used a thermodynamics framework to quantify the breaking of the detailed balance captured by the level of asymmetry in temporal processing, i.e. the arrow of time. Specifically, the temporal asymmetry was computed by the time-shifted correlation matrices for the forward and reversed time series, reflecting the level of non-reversibility/non-equilibrium. We found precise, distinguishing signatures in terms of the reversibility and hierarchy of large-scale dynamics in three radically different brain states (awake, deep sleep and anaesthesia) in electrocorticography data from non-human primates. Significantly lower levels of reversibility were found in deep sleep and anaesthesia compared to wakefulness. Non-wakeful states also showed a flatter hierarchy, reflecting the diversity of the reversibility across the brain. Overall, this provides signatures of the breaking of detailed balance in different brain states, perhaps reflecting levels of conscious awareness

Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics

Despite decades of research, there is still a lack of understanding of the role and generating mechanisms of the ubiquitous fluctuations and oscillations found in recordings of brain dynamics. Here, we used whole-brain computational models capable of presenting different dynamical regimes to reproduce empirical data's turbulence level. We showed that the model's fluctuations regime fitted to turbulence more faithfully reproduces the empirical functional connectivity compared to oscillatory and noise regimes. By applying global and local strength-dependent perturbations and subsequently measuring the responsiveness of the model, we revealed each regime's computational capacity demonstrating that brain dynamics is shifted towards fluctuations to provide much-needed flexibility. Importantly, fluctuation regime stimulation in a brain region within a given resting state network modulates that network, aligned with previous empirical and computational studies. Furthermore, this framework generates specific, testable empirical predictions for human stimulation studies using strength-dependent rather than constant perturbation. Overall, the whole-brain models fitted to the level of empirical turbulence together with functional connectivity unveil that the fluctuation regime best captures empirical data, and the strength-dependent perturbative framework demonstrates how this regime provides maximal flexibility to the human brain

Data-driven discovery of canonical large-scale brain dynamics

Human behavior and cognitive function correlate with complex patterns of spatio-temporal brain dynamics, which can be simulated using computational models with different degrees of biophysical realism. We used a data-driven optimization algorithm to determine and classify the types of local dynamics that enable the reproduction of different observables derived from functional magnetic resonance recordings. The phase space analysis of the resulting equations revealed a predominance of stable spiral attractors, which optimized the similarity to the empirical data in terms of the synchronization, metastability, and functional connectivity dynamics. For stable limit cycles, departures from harmonic oscillations improved the fit in terms of functional connectivity dynamics. Eigenvalue analyses showed that proximity to a bifurcation improved the accuracy of the simulation for wakefulness, while deep sleep was associated with increased stability. Our results provide testable predictions that constrain the landscape of suitable biophysical models, while supporting noise-driven dynamics close to a bifurcation as a canonical mechanism underlying the complex fluctuations that characterize endogenous brain activity

Capacità dinamiche e vantaggio competitivo: un’analisi empirica nel retail

Obiettivi. L’articolo studia il tema delle capacità dinamiche nel retail, verificando l’impatto delle sue componenti sulle performance competitive di un campione di piccoli imprenditori commerciali al dettaglio. Metodologia. La ricerca è stata svolta somministrando un questionario strutturato ad un campione di imprenditori commerciali al dettaglio. I dati raccolti sono stati elaborati applicando una regressione lineare multipla. Risultati. Le evidenze empiriche mostrano come la creazione di conoscenza e di integrazione della stessa impattano in modo significativo e positivo sulle performance competitive, mentre capacità dinamiche legate a processi strutturati di apprendimento e riconfigurazione delle risorse agiscono in senso opposto. Limiti della ricerca. L’articolo esplora come le capacità dinamiche impattano sulle performance di piccoli imprenditori industriali al dettaglio; l’originalità dell’analisi e i pochi studi empirici di riferimento circoscrivono la lettura degli effetti evidenziati, che richiedono ulteriori approfondimenti. Implicazioni pratiche. I piccoli imprenditori commerciali al dettaglio in sede fissa dovrebbero puntare sulla capacità di innovare la propria offerta, rivedendola sia in termini di assortimento offerto che di servizio erogato, migliorando la capacità di alimentare un network con i propri stakeholder, fornitori e clienti in primis. Originalità del lavoro. Ad oggi la letteratura di retail ha scarsamente investigato il tema delle capacità dinamiche, rari sono gli studi empirici sul tema e limitati ad indagini di tipo qualitativo con finalità sostanzialmente esplorative. Il paper intende contribuire a colmare tali gap con una ricerca originale, sulla base di una raccolta dati ad hoc