Archivio Istituzionale della Ricerca- Università degli Studi di Foggia
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Understanding Sustainability Competences Through a Paradox Lens: Evidence From Project Management Practice
No full textContemporary project environments are increasingly shaped by paradoxical tensions—between control and flexibility, short-term
delivery and long-term
value, or efficiency and innovation—that require project professionals to cultivate a more complex
set of competences. This exploratory study reconceptualises soft competences not as peripheral interpersonal assets but as
paradox-handling
mechanisms central to navigating the contradictions embedded in managing projects. Drawing on paradox
theory, we explore how soft competences enable individuals to reconcile competing logics without succumbing to managerial paralysis.
Employing a mixed-methods
design, we integrate survey data from 149 project professionals across five European countries
with qualitative insights from executive focus groups. Exploratory factor analysis reveals seven coherent competence factors
and a persistent undervaluation of sustainability-related
and ethically grounded soft competences. The study contributes theoretically
to paradox-informed
project management and practically to competency development aligned with grand challenges
Soil accumulation and plant uptake of pharmaceutical active compounds and related metabolites from irrigation water in fennel (Foeniculum vulgare Mill.)
No full textIntroduction: The reuse of treated wastewater (TWW) in agriculture is attracting increasing interest as a sustainable strategy to address water scarcity, particularly in arid and semi-arid regions. However, its use can pose risks due to the potential presence of emerging contaminants of concern, such as personal care products
and pharmaceuticals.
Methods: This study investigated the fate of three commonly occurring pharmaceutical contaminants (PhACs) (carbamazepine, climbazole, and flecainide) and their metabolites in the soil–plant system when applied through treated
wastewater. The research involved irrigating a fennel crop (Foeniculum vulgare Mill.) with fresh water spiked with these PhACs at different concentrations (0.5, 2.0, 200, and 600 μg L−1). Fennel plants were grown under controlled greenhouse conditions and analysed for PhAC content in their roots, leaves, and edible parts
(bulbs). Soil and plant PhACs content were evaluated using SPE-UHPLC-HRMS/MS and the Bioconcentration (BCF) and translocation factors (TF) were also assessed.
Results: Results showed PhACs accumulation in the soil and roots only at higher spiked concentrations (≥200 μg L−1). Among the compounds, carbamazepine exhibited the highest root accumulation (BCF>1), but limited translocation to bulbs (TF<1). Climbazole and flecainide, despite their persistence in soil, showed low root uptake (BCF<1) and negligible translocation to bulbs.
Discussion: Multivariate statistical analyses revealed compound-specific patterns governed by physicochemical properties such as ionization and hydrophobicity.
Overall, fennel crop showed a restricted capacity to accumulate and translocate PhACs to bulbs, suggesting a physiological barrier that may reduce human health risks when using treated wastewater for irrigation. The results provide new insights into the environmental safety of wastewater reuse, with a specific focus
on its impact on crop yield, highlighting the need for crop-specific assessments
Gli appalti pubblici sanitari tra esternalizzazioni, affidamenti in house providing e reinternalizzazioni
No full textOutro - L'automatizzazione della discriminazione: una prospettiva giuridica multidisciplinare
No full textStakeholder Relationship Dynamics in Megaprojects: A Conceptual Framework Based on Project Management Focus Areas
No full textMegaprojects unfold through non-linear trajectories shaped by evolv-ing stakeholder relationships. Although research recognises the temporal variabil-ity of stakeholder behaviours, analyses often rely on organisation-specific project life cycles, limiting conceptual comparability. This paper introduces a conceptual framework explaining how stakeholder relationship configurations change across the Project Management Focus Areas—Initiating, Planning, Executing, Moni-toring & Controlling, and Closing. Drawing on project stakeholder management research and relational and network perspectives, the framework shows how stake-holder motivations, expectations and influence strategies evolve as megaprojects unfold. This temporally explicit and theoretically integrated perspective advances understanding of stakeholder dynamics and offers a foundation for improved stake-holder engagement strategies in megaprojects. Implications and future research avenues are discussed
Intelligenza artificiale e (non) discriminazione nel diritto internazionale e dell'Unione europea: alcuni spunti di riflessione
No full textIntroduction. How to Do Things with(out) Words: Intersections between Pragmatics and Multimodality
No full textIn outlining the state of the art in multimodal pragmatics, or indeed in pragmatic multimodality, one naturally turns to the foundational texts of the senior discipline. H.P. Grice’s Conversational Maxims
and J.L. Austin’s Speech Act Theory may ostensibly seem to envisage solely the verbal, linguistic modes in interpersonal communication. However, Grice discusses both non-verbal communication, or
“transactions that are not talk-exchanges” (1989: 28), and features of prosody, such as stress and tone, and their impact on meaning (pp. 50-4). Austin, too, acknowledges the role of gesture and prosody – “I may nod or shake my head”; “intonation, winks, gestures”([1962] 2018: 87, 97) – in communicative events. Thus, while traditional pragmatics has primarily focused on
the verbal mode, recent scholars have found that its principles and heuristics may be successfully applied to other semiotic modes.
Indeed, later developments in pragmatics, such as (im)politeness studies, a key, prolific cluster in pragmatic research over the past 30 years (Blitvich 2010; Dynel 2015; Liu, Liu, Li 2025), have produced a wealth of texts analysing (im)politeness in cinema, television
and online mediated discourse, integrating multimodal texts and pragmatic analysis (see, among others Culpeper 2005; Dynel 2016, 2017; McIntyre and Bousfield 2017; Locher and Jucker 2021; Beville and Pasquali forthcoming). However, these are often dialogue-
centred, featuring pragmatic analyses of the verbal mode of
telecinematic discourse and the written mode of internet-mediated
communication. A similar criticism may be levied at studies in
audiovisual translation (AVT), which concentrate on multimodal
texts as the object of pragmatic analysis rather than approaching
interpersonal communication with a model of analysis that draws
from both multimodality and pragmatics (notable exceptions
include Mubenga 2009; Dicerto 2018). Such studies may risk not
fully engaging with the interplay of multiple semiotic modes (verbal, gestural, audio, visual, spatial)
Literature, the arts, and the societal impact of research
No full textThe societal impact of research increasingly extends beyond commercialisation and policy uptake, engaging broader publics through cultural and creative practices. This special issue explores how literature and the arts open alternative pathways for knowledge transfer, public engagement, and societal relevance. We introduce the LASIR model, which conceptualises two complementary mechanisms: direct collaborations between researchers and creative practitioners, and the cultural representation of science and technology in literary and artistic narratives. The contributions examine cases ranging from science-theatre and art-science policy programmes to speculative fiction shaping public imaginaries of artificial intelligence. Together, these contributions advance understanding of how creative practices intersect with research impact, demonstrating how literature and the arts serve as sites where research is co-produced, societal meaning is negotiated, and the cultural legitimacy and practical relevance of science are constructed. The issue calls for expanded innovation policy and research evaluation frameworks that fully recognise creative practices as integral to knowledge valorisation and research impact, and for the development of dedicated funding instruments and evaluation approaches to support them
IA predittiva e attività di vigilanza in materia di lavoro e legislazione sociale. Riflessioni critiche sulle prassi ispettive del domani
No full textBeyond Opacity: Interpretable Machine Learning for Hospital Efficiency Assessment
No full textHospital efficiency optimization remains a critical challenge as healthcare systems worldwide face mounting economic pressures. Traditional efficiency assessment methods often lack predictive capability, while machine learning approaches frequently operate as opaque "opacity"unsuitable for high-stakes healthcare decisions. This study presents an integrated interpretable machine learning and multi-objective optimization framework for hospital resource allocation, bridging Data Envelopment Analysis (DEA) with explainable artificial intelligence and prescriptive analytics. The methodology comprises a four-stage analytical pipeline: 1) DEA-based efficiency scoring through Principal Component Analysis, 2) Agglomerative Hierarchical Clustering with Ward linkage for hospital stratification into efficiency tiers, 3) Decision Tree classification with SHAP (SHapley Additive exPlanations) interpretability analysis, and 4) NSGA-II bi-objective optimization with data-driven grid search for context-specific resource allocation strategies. Validated on 127 public hospitals across five institutional typologies, the framework achieved 94.87% classification accuracy (AUC = 0.993). SHAP analysis revealed that energy costs (mean | SHAP | = 0.2416) and medical staffing levels (0.2257) constitute the primary efficiency determinants, while equipment showed negligible contribution. Multi-objective optimization demonstrated substantial strategic heterogeneity: optimal weight configurations ranged from balanced (0.5/0.5) to energy-focused (0.9/0.1), with personnel ratios spanning 51%-77% across hospital types. Critically, 47% of hospitals require clinical staff reductions while 16% require increases, demonstrating that uniform resource allocation guidelines are inadequate for heterogeneous healthcare systems. By integrating explanatory analysis with prescriptive optimization, this framework transforms Opacity predictions into transparent, context-specific, evidencebased recommendations for sustainable healthcare resource management