The impact of attribution modelling in luxury e-commerce : attribution model simulation

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementLuxurious goods started to be sold in online stores at a slow pace, but today the market has grown and it is working at high speed and has great potential. In fashion world exclusivity is the main word and along with the creation of online stores by luxurious brands, it is necessary to advertise them to the right audience and at the right time. So, companies tend to apply their marketing budget in multiple channels (search, email, display, affiliate and social networks) and because there are multiple ways to reward each channel, companies need to decide which Attribution Models they will use when rewarding affiliates. Using a well-known andmulti-brand seller as an allied to better understand advertise in ecommerce websites, this project will be based in a real database in order to create accurate simulations and to get the best model for similar companies. The simulations created for this project were based in almost two hundred and fifty thousand conversions and more than two million interactions with the e-commerce website.Inicialmente, os bens de luxo começaram por ser vendidos em lojas online a um ritmo consideravelmente lento, sendo que, atualmente, já é possível ver um rápido crescimento do mercado e o seu grande potencial. Neste mundo em que "exclusividade"é palavra chave e com, cada vez mais, marcas a lançar as suas próprias lojas online, é imperativo atrair o público certo, no momento certo. Desta forma, as empresas tendem a aplicar o orçamento de marketing em vários canais (pesquisa, e-mail, display, redes de afiliados, ou até em redes sociais). Como é possível utilizar diferentes Modelos de Atribuição para definir recompensas, as empresas necessitam de selecionar qual o que deve ser utilizado para premiar cada um desses canais. Através da parceria com uma empresa do setor de luxo, cujas vendas se baseiam em produtos de diversas marcas conhecidas mundialmente, foi possível utilizar neste projecto, desde início, uma base de dados real. Desta forma, foi possível criar simulações precisas de forma a obter o melhor modelo para empresas como esta, tendo sido baseadas em quase duzentas e cinquenta mil conversões e mais de dois milhões de interações geradas na loja eletrónica da empresa

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data

Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)