47 research outputs found

    Regional innovation systems as complex adaptive systems: The case of lagging European regions

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    This article proposes an agent-based model to support the development of self-sustaining regional innovation systems (RIS). The model is the base of a computational laboratory, CARIS (Complex Adaptive Regional Innovation System), which aims at evaluating the self-sustainability of RIS and at investigating what are the resources, competencies and mechanisms able to trigger powerful innovation and economic growth processes. Such a topic is particularly interesting for the so-called lagging regions, which, notwithstanding noticeable policy interventions, have been unable to significantly improve their innovation performances. Results of this study show that the exploration capacity, the propensity to cooperation, and the endowed competencies of actors belonging to a region could be considered as key aspects in affecting the regional innovation performance. This means that policy-makers should (i) incentivize investments in research and development activities both at the public and private levels; (ii) support public-private partnerships; (iii) enhance national and regional university systems; and (iv) increase the number of researchers employed both in the public and private sectors. In the next future, the CARIS laboratory could be adopted as policy support instrument to evaluate how much effective are current innovation policies and what are the most effective ones to reassess the current patterns

    The drivers of eco‐innovations in small and medium‐sized enterprises: A systematic literature review and research directions

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    The debate on innovations that contributes to the decoupling of economic growth and environmental degradation or fosters the transition from the brown to the green economy is becoming increasingly relevant in the academic and business worlds, fuelling a research stream that is proving very interesting for its economic, environmental and social implications. Although the debate on the adoption of environmental innovations is well underway, the discussion on eco-innovation in the context of small- and medium-sized enterprises (SMEs) is at a less developed stage and deserves more attention, especially given the relevance of these companies in the economic system of several countries. Thus, this study proposes a systematic literature review of the determinants of eco-innovation in SMEs and explores the relationships among them by starting from the criticalities highlighted in the five literature reviews of determinants of eco-innovations in SMEs that have been recently published. The first step of the research concerns a detailed description of the selection process of the articles under consideration and of their characteristics. In the second step, 14 main categories of determinants are identified. Additionally, in the third step, as result of this investigation, three basilar research directions and 13 related research questions emerged

    Development, Optimization, and Comparison of Different Sample Pre-Treatments for Simultaneous Determination of Vitamin E and Vitamin K in Vegetables

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    The absence of vitamin E from the diet can lead to cardiovascular disease, cancer, cataracts, and premature aging. Vitamin K deficiency can lead to bleeding disorders. These fat-soluble vitamins are important nutritional factors that can be determined in different methods in vegetables. In this work, the simultaneous determination of α-tocopherol, α-tocopheryl acetate, phylloquinone, and menaquinone-4 by gas chromatography–mass spectrometry (GC–MS) has been optimized using both direct injection and solid phase microextraction (SPME). Three different sample pre-treatment approaches based on: (A) solid–liquid–liquid–liquid extraction (SLE–LLE), (B) SLE, and (C) SPME were then applied to extract the target analytes from vegetables samples using menaquinone as internal standard. All the procedures allowed the determination of the target analytes in onion, carrot, celery, and curly kale samples. Similar results were obtained with the three different approaches, even if the one based on SPME offers the best performance, together with a reduced use of solvent, time consumption, and experimental complexity, which makes it the preferable option for industrial applications

    Socially-augmented argumentation tools: rationale, design and evaluation of a debate dashboard

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    Collaborative Computer-Supported Argument Visualization (CCSAV) is a technical methodology that offers support for online collective deliberation over complex dilemmas. As compared with more traditional conversational technologies, like wikis and forums, CCSAV is designed to promote more critical thinking and evidence-based reasoning, by using representations that highlight conceptual relationships between contributions, and through computational analytics that assess the structural integrity of the network. However, to date, CCSAV tools have achieved adoption primarily in small-scale educational contexts, and only to a limited degree in real world applications. We hypothesise that by reifying conversations as logical maps to address the shortcomings of chronological streams, CCSAV tools underestimate the importance of participation and interaction in enhancing collaborative knowledge-building. We argue, therefore, that CCSAV platforms should be socially augmented in order to improve their mediation capability. Drawing on Clark and Brennan’s influential Common Ground theory, we designed a Debate Dashboard, which augmented a CCSAV tool with a set of widgets that deliver meta-information about participants and the interaction process. An empirical study simulating a moderately sized collective deliberation scenario provides evidence that this experimental version outperformed the control version on a range of indicators, including usability, mutual understanding, quality of perceived collaboration, and accuracy of individual decisions. No evidence was found that the addition of the Debate Dashboard impeded the quality of the argumentation or the richness of content

    Omecamtiv mecarbil in chronic heart failure with reduced ejection fraction, GALACTIC‐HF: baseline characteristics and comparison with contemporary clinical trials

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    Aims: The safety and efficacy of the novel selective cardiac myosin activator, omecamtiv mecarbil, in patients with heart failure with reduced ejection fraction (HFrEF) is tested in the Global Approach to Lowering Adverse Cardiac outcomes Through Improving Contractility in Heart Failure (GALACTIC‐HF) trial. Here we describe the baseline characteristics of participants in GALACTIC‐HF and how these compare with other contemporary trials. Methods and Results: Adults with established HFrEF, New York Heart Association functional class (NYHA) ≄ II, EF ≀35%, elevated natriuretic peptides and either current hospitalization for HF or history of hospitalization/ emergency department visit for HF within a year were randomized to either placebo or omecamtiv mecarbil (pharmacokinetic‐guided dosing: 25, 37.5 or 50 mg bid). 8256 patients [male (79%), non‐white (22%), mean age 65 years] were enrolled with a mean EF 27%, ischemic etiology in 54%, NYHA II 53% and III/IV 47%, and median NT‐proBNP 1971 pg/mL. HF therapies at baseline were among the most effectively employed in contemporary HF trials. GALACTIC‐HF randomized patients representative of recent HF registries and trials with substantial numbers of patients also having characteristics understudied in previous trials including more from North America (n = 1386), enrolled as inpatients (n = 2084), systolic blood pressure < 100 mmHg (n = 1127), estimated glomerular filtration rate < 30 mL/min/1.73 m2 (n = 528), and treated with sacubitril‐valsartan at baseline (n = 1594). Conclusions: GALACTIC‐HF enrolled a well‐treated, high‐risk population from both inpatient and outpatient settings, which will provide a definitive evaluation of the efficacy and safety of this novel therapy, as well as informing its potential future implementation

    Knowledge sharing VS construction in online-conversations: a Debate Dashboard to support distributed decision making through the collaborative construction of shared knowledge representations

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    This study aims at improving argumentation mediation capabilities in order to exploit their inherent advantages and, at the same time, fostering interaction among online users through the implementation of an online Debate Dashboard. Debat Dashboard is made up of a set of visual widgets able to provide feedback about users, interaction process and generated content. Through an empirical study, we tested several hypotheses: i. the impact of visual feedback on Mutual Understanding, ii. the effect of Mutual Understanding on the users’ performances, iii. the impact of feedback on users’ performances. iv. the mediation effects of Mutual Understanding between feedback and users’ performances. The results confirm the expectations. In other words, the provision of visual feedback impacts on users’ mutual understanding and performances, namely quality of collaboration, quality of decision and usability. Practical and theoretical contributions have emerged from this study. First, the findings from the analysis of structural equation model confirm that visual, social and conversational feedback impact on mutual understanding and on users’ performances. Second, the results indicate that mutual understanding has a role of mediator and catalyst among visual feedback and users’ performances. Third, in order to support efficient and effective distributed decision making process, online collaborative tools have to be able both to foster interactions and support knowledge organization. In turns, Socialization and knowledge organization are two crucial condition for supporting deliberation and decision making successfully

    Supporting Entrepreneurship Policy: An overview of Italian Start-up Competitions

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    Innovative start-ups are currently considered to be an important channel for industrial change and for the renewal of economic systems. Among the initiatives that have been implemented to promote their diffusion, start-up competitions (SUCs) have received much recognition from policy-makers, followers and participants. Although the number of SUCs has grown, there are no comprehensive or systematic overviews of SUCs in the literature. Hence, this paper presents a cross-sectional exploratory analysis of Italian SUCs to provide an overview of their core characteristics. This in-depth study will support the diffusion of SUCs and will provide a foundation for the creation of a suitable ecosystem to improve the proc esses of business start-ups. The results show that the diffusion of SUCs is accompanied by deep structural changes, which can be interpreted as a consequence of the growing involvement of private organisations in promoting SUCs. Nevertheless, wide-ranging public intervention appears to be necessary to increase the effectiveness of SUCs. Keywords

    Il processo evolutivo dei knowledge intensive business services: una panoramica per la Campania

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    Il contributo illustra alcune dinamiche e processi che interessano l’aggregato economico rappresentato dei servizi alla produzione ad alta intensitĂ  di conoscenza, comunemente riconosciuti, tanto a livello nazionale quanto internazionale, con l’acronimo di KIBS - Knowledge Intensive Business Services -, nonchĂ© il ruolo da essi svolto nei moderni sistemi economici. In particolare, il lavoro mira all’identificazione delle componenti di attivitĂ  rientranti nei KIBS ed alla relativa quantificazione con precipuo riferimento ad una delle piĂč rappresentative regione del Mezzogiorno, la Campania
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