124 research outputs found

    Technological Scanning for Foresight: The case of Metaverse applications for Healthcare

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    The process of foresight, which allows companies and organizations to build scenarios and inform the creation and sustainment of their competitive advantage, relies on the integration of several steps. Scanning is a crucial step of foresight, as it informs and influences the results of the whole process and, thus, the strategic decision-making of the company. Sources and methods of scan- ning for foresight analysis can be diverse and lead to different results, although few studies investigate such differences: more specifically, the informative power of academic and non- academic articles and reports has not been assessed yet. This study aims to shed novel light on how the different analysis methods of full reading of records and text mining analysis isolate and gather forces of change differently, based on the source analyzed. The study’s empirical context is the metaverse and its application in healthcare. We find that each source and method by itself is unable to fully gather the whole set of forces of change; however, each source presents some topics that are specific to the target readers of the source, and each methodology presents some advantages as well as some limitations. From the comparison of the results, theoretical and managerial implications are drawn

    Unveiling the interplay between rational, psychological and functional factors in continuous glucose monitoring early adoption: Novel evidence from the Dexcom ONE case in Italy

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    Abstract Background The escalating prevalence of diabetes, with its multifaceted complications, poses a pressing challenge for healthcare systems globally. In response, the advent of continuous glucose monitoring (CGM) systems, offering technological solutions for daily diabetes management, presents significant opportunities. However, the widespread adoption faces several barriers, linked both to the technological configuration of the devices and to the psychological dimension of patients. Therefore, this study aims to apply and test a theoretical model that investigates the antecedents of the intention to use Continuous Glucose Monitoring systems. Methods The research model was built to unveil the impacts of psychological factors, functional components and rational constructs derived from the Technology Acceptance Model (TAM) on CGM systems sustained adoption. To ensure the comparability of results, we have collected data from people who had used Dexcom ONE Dexcom (San Diego, CA) for the first time for at least one month. Employing Structural Equation Modelling (SEM) techniques, the hypothesized relationships among constructs were assessed. Results The analyses confirmed the positive correlation of rational factors to the Intention to Use. Subjective Norm, intended as the physicians’ influence, is positively correlated with the Perceived Usefulness. Trend Arrows, albeit being negatively correlated with Perceived Usefulness, have a positive correlation on Perceived Ease Of Use, reinforcing its mediating effect towards Perceived Usefulness. Among psychological factors, Trust in the CGM technology positively correlates with Intention to Use. Health Literacy is negatively correlated to the Intention to Use. Conclusions These findings contribute to theoretical and managerial understanding, providing recommendations to enhance the adoption of CGM systems like Dexcom ONE

    A Meta-Analysis for an Interactive, Intersectional and Inclusive Exhibition Based on the SDGs

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    The main goal of the project is to create an interactive exhibition, innovative and technological in its approach, that aims to create awareness and promote the knowledge of the Sustainable Development Goals of the Agenda ONU 2030 – in particular, on the value of social and environmental sustainability. 178 Countries adopted a common agenda to preserve our planet for the first time in 1992, during the Rio de Janeiro Summit. From that moment, the concept of sustainability has changed forever and has been changing ever since. In this paper, after understanding the state of the art in the field of the interactive exhibition, it is going to be explained how the methodology is applied in order to evolve from a desk and field analysis to a concept definition. These key points will then help define the concept in the shape of an operative strategy with methodological guidelines and a structured solution. From this stage, a few considerations on the future of this proposal can be drawn

    Long-range angular correlations on the near and away side in p–Pb collisions at

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    90-річчя члена-кореспондента НАН України Г.К. Степанковської

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    The p(T)-differential production cross section of electrons from semileptonic decays of heavy-flavor hadrons has been measured at midrapidity in proton-proton collisions at root s = 2.76 TeV in the transverse momentum range 0.5 < p(T) < 12 GeV/c with the ALICE detector at the LHC. The analysis was performed using minimum bias events and events triggered by the electromagnetic calorimeter. Predictions from perturbative QCD calculations agree with the data within the theoretical and experimental uncertainties

    Underlying Event measurements in pp collisions at s=0.9 \sqrt {s} = 0.9 and 7 TeV with the ALICE experiment at the LHC

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    Technological Scanning for Corporate Foresight: The case of Metaverse applications for healthcare

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    The process of Corporate Foresight (CF), which allows companies to build scenarios and inform the creation and sustainment of their competitive advantage, relies on the integration of several steps. Scanning is a crucial step of CF, as it informs and influences the results of the whole process and, thus, the strategic decision-making of the company. Sources and methods of scanning for CF analysis can be diverse and lead to different results, although few studies investigate such differences: more specifically, the informative power of academic and non-academic articles and reports has not been assessed yet. This study aims at shedding novel light on how the different analysis methods of (i) full reading of records, (ii) bibliometric analysis, and (iii) text mining analysis, gather forces of change differently, based on the source analyzed. The study’s empirical context is the metaverse and its application in healthcare. We find that each source and method by itself is unable to fully gather the whole set of forces of change; however, each source presents some topics that are specific to the target readers of the source, and each methodology presents some limitations. From the comparison of the results, theoretical and managerial implications are drawn
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