The Implementation of TQM in R & D Environments

Research & development has been identified as a key element to achieve competitive advantage, particularly in contexts of change and especially for technology-based companies. Nowadays, organizations are aware that quality, and quality management as a consequence, represents an important strategic stimulus, thus assuming a fundamental role in the business strategies implementation. This article, aiming at outlining the practices that managers believe are critical for achieving quality management in applied research and development, examines the adoption of total quality management within R & D based organizations, and its impact in terms of performance. This is a qualitative research from a multicase study on eleven companies. Data were collected through open interviews, using a semi-structured script, with R & D managers and employees from each company. Our study supports the hypothesis that TQM practices positively impact the performance of an organization. Implications for managers and for academics can be derived from the study

Evaluating Performance of University Spin-Off Companies: Lessons from Italy

Academic spin-offs are very special start-up companies that are founded by an academic inventor with the aim to exploit technological knowledge that originated within a University setting in order to develop products or services. During the last two decades, academic spin-offs have received increasing attention from both researchers and practitioners, mainly due to their ability to advance industrial application of scientific knowledge. Much of the studies available in literature on this matter, however, have focused on USA’s spin-offs, while still little attention has been paid to the European countries, and to Italy in particular. Thus, the aim of our research is twofold: first, to fill this gap in literature. Second, to propose, on the basis of the above mentioned literature review, a model of ex-ante evaluation of the spin-off companies’ performance. Specifically, the research methodology followed was a combination of literature analysis and Delphi technique: we first extensively reviewed the extant literature on spin-off companies, then we proposed to a panel of expert the indicators that emerged from the literature as affecting the performance of academic spin-offs

Binary domain generalization for sparsifying binary neural networks

Binary neural networks (BNNs) are an attractive solution for developing and deploying deep neural network (DNN)-based applications in resource constrained devices. Despite their success, BNNs still suffer from a fixed and limited compression factor that may be explained by the fact that existing pruning methods for full-precision DNNs cannot be directly applied to BNNs. In fact, weight pruning of BNNs leads to performance degradation, which suggests that the standard binarization domain of BNNs is not well adapted for the task. This work proposes a novel more general binary domain that extends the standard binary one that is more robust to pruning techniques, thus guaranteeing improved compression and avoiding severe performance losses. We demonstrate a closed-form solution for quantizing the weights of a full-precision network into the proposed binary domain. Finally, we show the flexibility of our method, which can be combined with other pruning strategies. Experiments over CIFAR-10 and CIFAR-100 demonstrate that the novel approach is able to generate efficient sparse networks with reduced memory usage and run-time latency, while maintaining performance.Comment: Accepted as conference paper at ECML PKDD 202

Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists

BACKGROUND: Analysis of inherited diseases and their associated phenotypes is of great importance to gain knowledge of underlying genetic interactions and could ultimately give clinically useful insights into disease processes, including complex diseases influenced by multiple genetic loci. Nevertheless, to date few computational contributions have been proposed for this purpose, mainly due to lack of controlled clinical information easily accessible and structured for computational genome-wise analyses. To allow performing phenotype analyses of inherited disorder related genes we implemented new original modules within GFINDer , a Web system we previously developed that dynamically aggregates functional annotations of user uploaded gene lists and allows performing their statistical analysis and mining. RESULTS: New GFINDer modules allow annotating large numbers of user classified biomolecular sequence identifiers with morbidity and clinical information, classifying them according to genetic disease phenotypes and their locations of occurrence, and statistically analyzing the obtained classifications. To achieve this we exploited, normalized and structured the information present in textual form in the Clinical Synopsis sections of the Online Mendelian Inheritance in Man (OMIM) databank. Such valuable information delineates numerous signs and symptoms accompanying many genetic diseases and it is divided into phenotype location categories, either by organ system or type of finding. CONCLUSION: Supporting phenotype analyses of inherited diseases and biomolecular functional evaluations, GFINDer facilitates a genomic approach to the understanding of fundamental biological processes and complex cellular mechanisms underlying patho-physiological phenotypes

The Intention to Purchase Recycled Products: Towards an Integrative Theoretical Framework

The growing interest of the scientific literature regarding purchase behavior, circular economy and new business models has generated the need, as well as the opportunity, for a comprehensive review and categorization of the state of the existing research carried out so far. The present study aims at reconciling the wide but fragmented literature dealing with the purchase intention of recycled products. An integrative theoretical framework, able to combine several constructs, perspectives, and theories discussed to date on the topic, is proposed. Such framework represents a further step toward a comprehensive understanding of behavioral theories and constructs, which need to be understood to design effective business models for the circular economy. This effort could be highly valuable both for scholars interested in the topic—as the integrative framework could assist them in theorizing additional effects—and for firms’ managers—who can understand, more in depth, the drivers of the consumers’ purchasing process and act accordingly

Reduced GABA Content in the Motor Thalamus during Effective Deep Brain Stimulation of the Subthalamic Nucleus

Deep brain stimulation (DBS) of the subthalamic nucleus (STN), in Parkinson's disease (PD) patients, is a well established therapeutic option, but its mechanisms of action are only partially known. In our previous study, the clinical transitions from OFF- to ON-state were not correlated with significant changes of GABA content inside GPi or substantia nigra reticulata. Here, biochemical effects of STN-DBS have been assessed in putamen (PUT), internal pallidus (GPi), and inside the antero-ventral thalamus (VA), the key station receiving pallidothalamic fibers. In 10 advanced PD patients undergoing surgery, microdialysis samples were collected before and during STN-DBS. cGMP, an index of glutamatergic transmission, was measured in GPi and PUT by radioimmunoassay, whereas GABA from VA was measured by HPLC. During clinically effective STN-DBS, we found a significant decrease in GABA extracellular concentrations in VA (−30%). Simultaneously, cGMP extracellular concentrations were enhanced in PUT (+200%) and GPi (+481%). These findings support a thalamic dis-inhibition, in turn re-establishing a more physiological corticostriatal transmission, as the source of motor improvement. They indirectly confirm the relevance of patterning (instead of mere changes of excitability) and suggest that a rigid interpretation of the standard model, at least when it indicates the hyperactive indirect pathway as key feature of hypokinetic signs, is unlikely to be correct. Finally, given the demonstration of a key role of VA in inducing clinical relief, locally administration of drugs modulating GABA transmission in thalamic nuclei could become an innovative therapeutic strategy