How service design cues help in service failures

Terres, M. D. S., Herter, M. M., Pinto, D. C., & Mazzon, J. A. (2020). The power of sophistication: How service design cues help in service failures. Journal of Consumer Behaviour, 19(3), 277-290. https://doi.org/10.1002/cb.1816By analyzing three experimental studies, this research tests how and when sophisticated service environment designs (compared to modest service designs) can minimize consumers' negative emotions and increase repurchase intentions after a failure. Drawing on part-list cueing literature, this research proposes that when a service failure occurs in a sophisticated (vs. modest) environment, consumers will rely on the sophisticated style of design as cues for service quality. We argue that sophisticated (vs. modest) service designs work as strong cues for quality that restrict the retrieval of negative information by consumers and can minimize the negative impacts of service failure, reducing consumers' negative emotions and increasing repurchase intentions. We further advance our theorizing by showing how choice failure consequences (i.e., the risk or consequence related to the service choice) moderate the effects via associative pathways of retrieval. The findings contribute to theory and practice by revealing how service designs can serve as cues to mitigate adverse consequences of service failure.authorsversionpublishe

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences

Non peer reviewe

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction

Non peer reviewe

Adherence to antibiotic treatment guidelines and outcomes in the hospitalized elderly with different types of pneumonia

Background: Few studies evaluated the clinical outcomes of Community Acquired Pneumonia (CAP), Hospital-Acquired Pneumonia (HAP) and Health Care-Associated Pneumonia (HCAP) in relation to the adherence of antibiotic treatment to the guidelines of the Infectious Diseases Society of America (IDSA) and the American Thoracic Society (ATS) in hospitalized elderly people (65 years or older). Methods: Data were obtained from REPOSI, a prospective registry held in 87 Italian internal medicine and geriatric wards. Patients with a diagnosis of pneumonia (ICD-9 480-487) or prescribed with an antibiotic for pneumonia as indication were selected. The empirical antibiotic regimen was defined to be adherent to guidelines if concordant with the treatment regimens recommended by IDSA/ATS for CAP, HAP, and HCAP. Outcomes were assessed by logistic regression models. Results: A diagnosis of pneumonia was made in 317 patients. Only 38.8% of them received an empirical antibiotic regimen that was adherent to guidelines. However, no significant association was found between adherence to guidelines and outcomes. Having HAP, older age, and higher CIRS severity index were the main factors associated with in-hospital mortality. Conclusions: The adherence to antibiotic treatment guidelines was poor, particularly for HAP and HCAP, suggesting the need for more adherence to the optimal management of antibiotics in the elderly with pneumonia

The European language technology landscape in 2020 : language-centric and human-centric AI for cross-cultural communication in multilingual Europe

Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cross-lingual and cross-cultural communication are still omnipresent. Language Technologies (LTs) are a powerful means to break down these barriers. While the last decade has seen various initiatives that created a multitude of approaches and technologies tailored to Europe’s specific needs, there is still an immense level of fragmentation. At the same time, AI has become an increasingly important concept in the European Information and Communication Technology area. For a few years now, AI – including many opportunities, synergies but also misconceptions – has been overshadowing every other topic. We present an overview of the European LT landscape, describing funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. We present a brief overview of the main LT-related activities on the EU level in the last ten years and develop strategic guidance with regard to four key dimensions

Mining least relational patterns from multi relational tables

Existing mining association rules in relational tables only focus on discovering the relationship among large data items in a database. However, association rule for significant rare items that appear infrequently in a database but are highly related with other items is yet to be discovered. In this paper, we propose an algorithm called Extraction Least Pattern (ELP) algorithm that using a couple of predefined minimum support thresholds. Results from the implementation reveal that the algorithm is capable of mining rare item in multi relational tables

Using Keyphrases as Features for Text Categorization

Keyphrases provide a semantic metadata that summarize and characterize documents. Since keyphrases summarize documents very concisely, they can be used as a low-cost measure of similarity between documents, making it possible to group documents by measuring overlap between the keyphrases they are assigned to. In this paper we investigate the usefulness of keyphrases in text categorization (TC). We apply a keyphrase extraction algorithm to the Reuters Corpus Volume I (RCVI) and then we use the keyphrases extracted as features of the TC algorithm