40 research outputs found

    Through the eyes of industrial researchers: how new “Connect & Develop” practices change the role of human resources in the lab

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    An intense debate is going on about more “open” strategies that are supposedly diffusing in industrial R&D. We here discuss the relationship between such practices and Human Resources Management (HRM) in industrial R&D Labs. The paper in fact aims at representing an original attempt of looking at the linkage between R&D strategy and HRM in some Italian high-tech firms. In particular, we identify, select and discuss a set of variables related to the management of HR in R&D that fit with the reconceptualization of innovation proposed by Chesbrough in the “Open Innovation” (OI) paradigm and inspired by the example of P&G’s model of Connect and Develop (C&D). More precisely, our objective is that of investigating the role of HRM in the shift towards “Open Innovation” through the bottom-up lenses of industrial researchers’ characteristics, feelings and behaviours. What we here suggest is that by observing behaviour and expectations of R&D workers, we can investigate the acceptance and implementation of new R&D management practices. Our empirical base is represented by 330 questionnaires completed by R&D personnel and collected through an online survey. The results have been discussed with the HR managers of each company, in order to also gain a “top-down” perspective on the observed dynamics. The research is carried out around three main groups of issues: HR characteristics (e.g., demographic parameters, productivity, time horizons, satisfaction, expectations, mobility, education), job organization aspects (e.g., teamwork vs. individual research, flexibility, decisional centres, work time allocation, type of relationships, communication flows), and HRM tools (e.g., talent attraction, training, evaluation methods, goal definition, roles, leadership, responsibility, incentives, career systems, problem sources). According to Chesbrough, firms fitting the OI model present characteristics related to the R&D structure itself. Nonetheless, even if this model has been widely enthusiastically discussed and sometimes criticized by both practitioners and researchers, we still lack a comprehensive understanding of how such changes effect dynamics and daily operations of an R&D lab. Our empirical analysis ultimately aims at understanding to what extent the shift towards an extended definition of R&D, which includes the new concept of C&D, can be considered as one of the main potential factors of change in HR organization. Beyond the relevance of our findings for the debate among scholars, we argue that managerial implications may derive from a better knowledge of individual perceptions and behaviours of R&D personnel. In fact, the changing pattern of innovation processes implies parallel changes in the organization of R&D labs, where the role of the most important component, i. e. researchers themselves, is not always adequately considered. This paper is a first attempt to explore these relationships. Through a convenience sample we first attempted to test various strategies to best collect data, provide timely valuable feedbacks to our industrial partners and better define our framework, matching early results with existing theories. Further research will aim at making the sample representative of the Italian industrial R&D system.Open Innovation Human Resources Management

    Axial symptoms as main predictors of short-term subthalamic stimulation outcome in Parkinson's disease

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    : Deep brain stimulation (DBS) is an established therapeutic option for Parkinson's disease (PD) patients; however, a clear-cut definition of subthalamic (STN) DBS predictors in PD is lacking. We analyzed a cohort of 181 STN-treated PD patients and compared pre- vs. 1-year post-surgical motor, dyskinesia, Off time, and daily-life activities (ADL) scores. A multivariate linear regression analysis was used to evaluate the association between clinical/demographic characteristics and the extent of STN-DBS response for outcomes proving a significant change after surgery. After STN-DBS, we observed a significant improvement of motor symptoms (P < 0.001), dyskinesia (P < 0.001), and daily Off time (P < 0.001). Sex, PD duration, cognitive status, and the motor and axial response to levodopa significantly explained the motor improvement (R = 0.360, P = 0.002), with presurgical response of axial symptoms (Beta = 0.203, P = 0.025) and disease duration (Beta = 0.205, P = 0.013) being the strongest predictors. Considering the daily Off time improvement, motor and axial response at the levodopa challenge test and disease duration explained 10.6% of variance (R = 0.326, p < 0.001), with disease duration being the strongest predictor of improvement (Beta = 0.253, p: 0.001) and axial levodopa response showing a trend of significance in explaining the change (Beta = 0.173, p: 0.056). Dyskinesia improvement was not significantly explained by the model. Our findings highlight the emerging role of axial symptoms in PD and their response to levodopa as potentially pivotal also in the DBS selection process

    COVID-19 and Parkinson's disease: what do we know so far?

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    Background: Many studies on Parkinson’s disease (PD) patients affected by Coronavirus-disease-2019 (COVID-19) were recently published. However, the small sample size of infected patients enrolled in most studies did not allow to draw robust conclusions on the COVID-19 impact in PD. Objective: We aimed to assess whether the prevalence and outcome of COVID-19 in PD patients are different from those observed in the general population. Methods: We conducted a systematic review of studies reporting data on PD patients with a diagnosis of COVID-19 (PD-COVID+). We extracted prevalence, clinical-demographic data, outcome, and mortality. We also analyzed risk or protective factors based on comparisons between PD-COVID+ and control populations with PD without COVID-19 or without PD with COVID-19. Results: We included 16 studies reporting on a total of 11,325 PD patients, 1,061 with a confirmed diagnosis of COVID-19. The median infection prevalence ranged from 0.6% to 8.5%. PD-COVID+ patients had a median age of 74 and a disease duration of 9.4 years. Pooling all PD-COVID+ patients from included studies, 28.6% required hospitalization, 37.1% required levodopa dose increasing, and 18.9% died. The case fatality was higher in PD-COVID+ patients than the general population, with longer PD duration as a possible risk factor for worse outcome. Amantadine and vitamin D were proposed as potential protective factors. Conclusion: Available studies indicate a higher case fatality in PD patients affected by COVID-19 than the general population. Conversely, current literature does not definitively clarify whether PD patients are more susceptible to get infected. The potential protective role of vitamin D and amantadine is intriguing but deserves further investigation

    La gestione delle attività di Ricerca e Sviluppo nell’era della conoscenza: verso il paradigma della Open Innovation

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    “La gestione delle attività di Ricerca e Sviluppo nell’era della conoscenza: verso il paradigma della Open Innovation

    COVID-19 and Parkinson’s Disease: What Do We Know So Far?

    No full text
    Background: Many studies on Parkinson’s disease (PD) patients affected by Coronavirus-disease-2019 (COVID-19) were recently published. However, the small sample size of infected patients enrolled in most studies did not allow to draw robust conclusions on the COVID-19 impact in PD. Objective: We aimed to assess whether the prevalence and outcome of COVID-19 in PD patients are different from those observed in the general population. Methods: We conducted a systematic review of studies reporting data on PD patients with a diagnosis of COVID-19 (PD-COVID+). We extracted prevalence, clinical-demographic data, outcome, and mortality. We also analyzed risk or protective factors based on comparisons between PD-COVID+ and control populations with PD without COVID-19 or without PD with COVID-19. Results: We included 16 studies reporting on a total of 11,325 PD patients, 1,061 with a confirmed diagnosis of COVID-19. The median infection prevalence ranged from 0.6% to 8.5%. PD-COVID+ patients had a median age of 74 and a disease duration of 9.4 years. Pooling all PD-COVID+ patients from included studies, 28.6% required hospitalization, 37.1% required levodopa dose increasing, and 18.9% died. The case fatality was higher in PD-COVID+ patients than the general population, with longer PD duration as a possible risk factor for worse outcome. Amantadine and vitamin D were proposed as potential protective factors. Conclusion: Available studies indicate a higher case fatality in PD patients affected by COVID-19 than the general population. Conversely, current literature does not definitively clarify whether PD patients are more susceptible to get infected. The potential protective role of vitamin D and amantadine is intriguing but deserves further investigation.</jats:p
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