907 resultados para organisation reputation


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What explains Germany’s superb export performance? Is Germany’s export behaviour very distinct compared to other European countries? The authors explore the organisational responses to competition of 14,000 exporting firms in seven European countries. The paper examines the export business model of the median exporter and of the top one percent exporters in each country, accounting for 20 percent to 55 percent of total exports. What do these firms do to become superstars? The authors find, first, that the export market share of the median exporter in each of the countries to the world more than tripled (in some cases the export market share increases tenfold) for firms that combine decentralised management with offshoring of production to low-wage countries. Exporters which abstain from any organisational adjustment do very badly. Decentralised management provides incentives for workers for product improvements allowing exporters to compete on quality. Offshoring production to low-wage countries reduces costs allowing exporters to compete on price. Second, we find that Germany is the leading quality exporter in Europe followed by Austria and Spain. Among the top 10 percent of exporters there is no single firm with low quality in Germany and Austria, which suggest that decentralised management has provided incentives for quality in these countries. Third, Germany’s exports are less vulnerable to price increases, while exports from France and Italy respond strongly to price changes, and thus costs reductions via offshoring benefits these countries most.

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Primary treatment of rectal cancer was the focus of the second St. Gallen European Organisation for Research and Treatment of Cancer (EORTC) Gastrointestinal Cancer Conference. In the context of the conference, a multidisciplinary international expert panel discussed and voted on controversial issues which could not be easily answered using published evidence. Main topics included optimal pretherapeutic imaging, indication and type of neoadjuvant treatment, and the treatment strategies in advanced tumours. Here we report the key recommendations and summarise the related evidence. The treatment strategy for localised rectal cancer varies from local excision in early tumours to neoadjuvant radiochemotherapy (RCT) in combination with extended surgery in locally advanced disease. Optimal pretherapeutic staging is a key to any treatment decision. The panel recommended magnetic resonance imaging (MRI) or MRI + endoscopic ultrasonography (EUS) as mandatory staging modalities, except for early T1 cancers with an option for local excision, where EUS in addition to MRI was considered to be most important because of its superior near-field resolution. Primary surgery with total mesorectal excision was recommended by most panellists for some early tumours with limited risk of recurrence (i.e. cT1-2 or cT3a N0 with clear mesorectal fascia on MRI and clearly above the levator muscles), whereas all other stages were considered for multimodal treatment. The consensus panel recommended long-course RCT over short-course radiotherapy for most clinical situations where neoadjuvant treatment is indicated, with the exception of T3a/b N0 tumours where short-course radiotherapy or even no neoadjuvant therapy were regarded to be an option. In patients with potentially resectable tumours and synchronous liver metastases, most panel members did not see an indication to start with classical fluoropyrimidine-based RCT but rather favoured preoperative short-course radiotherapy with systemic combination chemotherapy or alternatively a liver-first resection approach in resectable metastases, which both allow optimal systemic therapy for the metastatic disease. In general, proper patient selection and discussion in an experienced multidisciplinary team was considered as crucial component of care.

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Parametro indispensabile di valutazione di un qualsiasi prodotto o servizio, ai giorni nostri, è la web reputation. Sono sempre più numerose le aziende che monitorano la propria "reputazione online". Quest'ultima può esser definita come l'insieme dei messaggi, commenti e feedbacks, positivi, neutri o negativi che siano, di utenti che esprimono la loro opinione tramite il web su un determinato servizio o prodotto rivolto al pubblico. L’applicazione sviluppata, si pone l’obiettivo di analizzare in tempo reale tramite l’utilizzo di Apache Storm, dati provenienti da fonti eterogenee, classificarli tramite KNIME utilizzando tecniche di classificazione quali SVM, alberi decisionali e Naive Bayesian, renderli persistenti mediante l’utilizzo del database NoSQL HBASE e di visualizzarli in tempo reale attraverso dei grafici utilizzando delle servlet, al fine di costituire un valido strumento di supporto per i processi decisionali.