1,721,000 research outputs found

    Reply structure and participation in online conversations enabled by argumentation platforms: A real world experiment of collective deliberation in e-democracy

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    In this paper we report evidence from a collective deliberation experiment in which the supporters of a political party were asked to debate online about ways to reform the electoral law. We compared a forum with an argumentation platform, an online collaboration tool that supports the construction of a collective map representing the debate in terms of issues, proposals, pros and cons. We analyze the structural proprieties of the reply networks generated in the two conditions. Our findings show that forum generated more redundant ideas and highly central speakers, whereas the argumentation platform tested in this study favored viewing and rating of others’ posts, produced more arguments per idea, and promoted brokerage between users belonging to different subgroups

    How to improve the Triage: A dashboard to assess the quality of nurses’ decision-making

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    This paper presents a dashboard for assessing the quality of Triage decision-making process in the assignment of the priority code to patients arriving at an emergency department. The quality is assessed through performance indexes aimed at measuring both the nurses’ accuracy and the presence of nurses’ shared behavior in the Triage assignment process. The theoretical perspective of the cognitive heuristic, that is a cognitive shortcut strategy to make decisions, is the framework to design performance indexes of the dashboard. The dashboard has been tested in two Emergency Departments. We gather the data input through the submission to 54 nurses of a questionnaire, simulating 25 patients’ scenarios. The dashboard reveals a disparity between nurses in priority level assignment. This disparity depends on nurses’ capacity in disregarding some information and in considering the right cue. We find the presence of sharing behaviors and inclination to over or under assessment by nurses. This performance analysis, integrated with the nurses’ reasoning in assigning the priority code, can address the management in designing improvement actions at individual level and at the organizational one. In addition, the application to two Emergency Department confirms the influence of organizational aspects in the individual decision process

    Open innovation and technology adoption during emergency. Lessons from a case study in telemedicine in time of COVID-19

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    Faced with dramatic pressures connected with COVID-19, the health systems were challenged by the need of providing care to COVID-19 patients, without jeopardising the lives of physicians. Telemedicine was a candidate solution, but just having a well-performing technology is not enough. Theoretical models on technology adoption alert that to be effectively and timely adopted, technology–e.g. telemedicine–has to be accepted. In this article, we investigate the innovation journey of a firm (Firm A) that designed and developed a telemedicine platform, collaborating with different actors–adopters (physicians, nurses and patients) and health decision-makers–according to an open innovation (OI) approach. During the COVID-19 emergency, Firm A has rapidly and successfully modified its product to provide a Local Health District with an effective solution for patients monitoring. The case study shows an interwoven relationship between the OI approach adopted in the development of the telemedicine platform and the acceptance of the technology itself, paving the way to a new role for OI: not only an enabler supporting knowledge exchanges, but also an enabler of Technology Acceptanc

    Computing competencies value through a fuzzy real option model�, Fuzzy Economic Review

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    This paper presents a fuzzy real option model for the estimation of the value of an investment in individual competencies. The use of the real option technique is justified on the basis of the following hypotheses: i) either developing or acquiring a competency is a financial investment; ii) the value of such an investment can be estimated by assuming that the decision made by a firm either to develop or acquire an individual competency can be considered as buying an option today that will allow the firm itself to exploit a market opportunity in the future by implementing a new productive process Pj; iii) the uncertainty concerning the future value of an investment can be evaluated through a fuzzy model for the estimation of the volatility of the investment itself. Traditional models proposed in literature for the estimation of the volatility are unable to cope with the lack of historical and reliable data that are usually available in financial investments. Second, those models can manage only uncertainty of probabilistic nature. The model proposed attempts to estimate the volatility of an investment when the uncertainty come from possibilistic sources and data are given by imprecise estimations given by human experts assessing the benefits deriving form the implementation of new productive processes

    Determining competencies economic value through a Fuzzy Real option methodology

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    This work attempts to bridge economic and organizational assessment methodologies to evaluate the economic impact of individual competencies on value creation process. Competencies are considered as active assets needed to nurture value creation in key organization processes (critical capabilities). The aim of the paper is to propose a methodology to compute the cost-value ratio related to the acquisition or development competencies in a given organizational process. The methodology integrates a multi-attribute decision making method (Analytic Hierarchical Process - AHP) and cost accounting techniques (Activity Based Costing - ABC) to compute the cost and a real option technique to estimate the value of competencies. In particular, a fuzzy real option model is presented. The proposed methodology is based on the idea that acquiring/developing a competence Ci is equivalent to purchasing an option allowing a firm to implement a specific productive process Pj. This, the value of Ci can be estimated from the economic value that the process Pj generates. Fuzzy logic is used to estimate the value of option volatility based on imprecise data as linguistic assertions and estimations provided by process experts. We present the results of the application of proposed methodology to a case study of a small manufacturing firm operating in the packaging sector

    The effectiveness of ambiguity in the management of complexity

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    This paper is aimed at exploring the role of natural language in organizational learning performances, particularly under conditions of high complexity of external environment. To address this issue, the stylized representation of organizational learning proposed in the seminal paper of March of 1991 “Exploration and exploitation in organizational learning” is used as a reference model to build up an agent-based computational laboratory. Through this lab simulative experiments have been settled and performed to verify in which environmental conditions a cognitive system capable of managing vague descriptions of reality is more effective than a formal system which instead provides precise descriptions. Experimental results show that in stable environments the language-based management of organizations does not offer significant advantages with respect to traditional approaches. In turbulent environments, instead, the benefits of natural language are related to the ability of the fuzzy organization to cope effectively with environmental complexity (modelled as turbulence) in the long run
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