1,721,278 research outputs found
Resilience in healthcare after Covid-19: Rethinking technologies, operations, supply chain and network
Full text linkThe concept of resilience, defined as the ability of organizations to adapt their operations before, during, and after disruptions while ensuring the delivery of essential services, has garnered increasing attention in healthcare research. Despite its theoretical significance, hospital resilience remains underexplored in practice, with limited consensus on its contextual applications, contributing factors, and empirical validation. This thesis addresses these gaps by examining hospital resilience through the combined lenses of the Resource-Based View (RBV) and Contingent RBV (CRBV), focusing on the organizational characteristics, resources, and capabilities that underpin resilience across different crisis phases. Adopting a resource-based perspective enables a deeper understanding of hospital dynamics during crises by identifying the resources and capabilities critical for maintaining operations, adapting to challenges, and achieving resilience outcomes. Moreover, this approach emphasizes the importance of context, highlighting how internal and external contingencies shape the effectiveness of resilience strategies.
First, a systematic literature review is conducted to systematize knowledge on resources and capabilities that strengthen hospital resilience, distinguishing their roles across the five resilience dimensions: anticipation, adaptation, response, recovery, and learning. This review integrates fragmented findings, highlights synergies among organizational elements, and proposes an integrated framework to guide future research.
Building on these insights, the thesis empirically investigates the role of digital technologies, staff skills, and information integration capabilities in enhancing hospital resilience during crises. Through structural equation modeling (SEM) on data from 130 Italian hospitals, findings reveal that digital technologies and staff skills significantly contribute to resilience outcomes, with external information integration acting as a critical mediator.
The final phase of the thesis examines the moderating role of contingencies, including service complexity and operational efficiency, on the relationships between resources, capabilities, and resilience. In this phase, data were collected through an online survey of Italian hospitals and supplemented by secondary data from databases provided by the Italian Minestry of Health to measure the moderating factors. The analysis confirms the direct effects of ICTs, digital skills, and information integration on hospital resilience, while demonstrating how these effects are influenced by contextual factors. Results show that both service complexity and operational efficiency condition the effectiveness of resources, underscoring the nuanced dynamics of hospital resilience in varying contexts.
This research contributes to the theoretical and practical advancement of hospital resilience by providing a structured framework and empirical evidence to inform resource allocation, emergency planning, and strategic decision-making. It highlights the necessity of integrating diverse organizational elements and considering contextual factors to enhance resilience and ensure high-quality, safe patient care in increasingly volatile healthcare environments
Antologia della letteratura latina, Mario Bonaria : Seneca il Vecchio ; C. Grassi, Quintiliano. Brescia, Paideia éditrice, 1971
No full textCousin Jean. Antologia della letteratura latina, Mario Bonaria : Seneca il Vecchio ; C. Grassi, Quintiliano. Brescia, Paideia éditrice, 1971. In: Revue des Études Anciennes. Tome 78-79, 1976, n°1-4. pp. 250-251
Seismic assessment of a RC case study building using the simple lateral mechanism analysis, SLaMA, method
No full textThe seismic assessment of an existing structure is a complex procedure. In the evaluation of the structural capacity, difficulties arise in the definition of the lateral resisting members, in the estimation of the lateral capacity from component to system level. The identification of the local and global mechanisms, depending on the hierarchy of strength at subassembly level, is a challenging task. Nowadays, advanced numerical analysis procedures, implemented in user-friendly commercial software, are commonly adopted in the current practice to overcome the difficulties in the use of non-linear analyses. Nevertheless, their accuracy strongly depends on the ability of the numerical model to capture all the probable failure mechanisms. To help the user in the assessment of the probable failure mechanism and to have a first estimation of the building lateral capacity, the Simple Lateral Mechanism Analysis (SLaMA) method has been recently developed and included in the NZSEE 2016 guidelines. SLaMA is a simple and reliable "by-hand" tool to derive the local and global mechanism of a structural system and the corresponding capacity curve. This paper deals with the application of the SLaMA to an existing RC building severely damaged during the Christchurch earthquake (2011, New Zealand). The lateral capacity of four 2D resisting systems was assessed following the SLaMA method. The results of a refined nonlinear numerical model were used to assess the accuracy and reliability of SLaMA. The good match confirmed that SLaMA can be a useful and simple tool to have a first estimation of the building lateral response. It allows to identify the main structural weaknesses driving the user to the development of more refined nonlinear models
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Sampled-data set stabilization of switched boolean control networks
No full textIn this paper, the set stabilization of switched Boolean control networks (SBCNs) under sampled-data feedback control is addressed. Here, the control input is switching signal-dependent, and SBCNs can switch only at the sampling instants. First, the sampled point control invariant subset (SPCIS) of SBCNs is defined, and an algorithm is provided to obtain the largest SPCIS under arbitrary switching signal. Based on the largest SPCIS, some necessary and sufficient conditions are presented for the set stabilization of SBCNs by switching signal-dependent sampled-data (SSDSD) state feedback control. Furthermore, a constructive procedure is given to design all possible SSDSD state feedback controllers. Finally, some examples are presented to illustrate the effectiveness of the obtained results
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