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Evaluating the impact of tweets on stock market is a major challenge and has been addressed several times for American indices. The problematic relies on multidisciplinary techniques such as the use of data mining, text mining and statistical techniques in order to establish a link between tweets sentiment and stock market movements. Yet the literature has mainly overlooked less volatile market. In our paper, we focus on London stock market at two levels: the FTSE100 index and one of its individual stocks. We explain how we collect data and use sentiment analysis to annotate tweets automatically with positive, negative or neutral sentiment. Then we perform statistical tests to ensure we can safely apply regression techniques. Eventually, we try to build accurate predictions of stock market movements with various Twitter variables such as the number of tweets per day or the overall sentiment. The results for both the index and the company stock level are inconclusive because of low accuracies and F1-measures.

Sciences économiques & de gestion > Multidisciplinaire, généralités & autres

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Considering the ever-increasing air traffic, prediction of aircraft delays has become a more and more valuable tool to try to limit the negative impacts of flights running behind schedule. Better prediction of delays would lead to decreased costs, lower environment impact and better welfare for workers and travelers.
Based on U.S. flight records for the year 2015, this paper aims at determining the variables that have the most impact on aircrafts delays, and also intends to analyze the various models used. Using data mining techniques such as decision trees, random forests, neural networks, regressions and support vector machines, various configurations of input and output variables are studied. The results are compared and interpreted, and the performance of the models are analyzed through indicators such as receiver operating characteristic (ROC) curves, misclassification rates, average squared errors, and lifts.
Results show that the most influential variable is the time of departure, as delay propagation throughout the day increases the risk that a late-afternoon flight be delayed. Weather conditions such as rainfalls or extreme temperature play an important role too, and finally, delays depend a lot on the air carrier selected, with delays rates varying threefold amongst the top 10 carriers.

Airline delays --- Prediction --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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This master thesis will be devoted to the initiative’s evaluation, which aims at improving the urban mobility and decreasing the congestion, the urban consolidation centers. Many urban consolidation trials have failed, despite the fact that some studies have shown those initiatives’ advantages. This dissertation will try to understand the root causes of such failures and to reassess the urban consolidation centers advantages.
Many of the advantages of consolidation only become apparent when sufficient volume is transported through the urban consolidation centers, located at the entrance to the cities. These new centers are struggling to acquire this sufficient volume since their use is an additional step and the cost of these deliveries is more expensive than direct delivery. In addition, transport perceive these centers as additional competition in an already highly competitive market where margins are extremely low. The reasons for this lack of success will be expressed in the second part through concrete cases and actions taken by carriers to reduce their costs while reducing pollution.

urban consolidation centers --- urban deliveries --- advantages --- disadvantages --- causes of failures --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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In the context of always more competitive markets and customers more demanding than ever, understanding variables influencing customer satisfaction, trust and loyalty is paramount. 
In e-commerce, the demands placed on businesses in even greater. In the context of this project-thesis, I will seek to understand customers’ expectations and to identify the variables at the different stages in the customer purchase journey playing a key role on customer satisfaction, online trust and customer loyalty and repurchase intention. The final goal of this project is focused on the sportswear company Gore Wear and looks at helping them to increase their online sales. 

Firstly, a theoretical research using the PLS-SEM analysis method will be testing the impact of presumed antecedents of customer satisfaction, trust and loyalty is conducted. The results obtained will contribute to the formation of recommendations improving Gore Wear shortcomings. 

Secondly, a practical analysis of Gore Wear competitors and their service level aims at identifying more precise and concrete actions that could be implemented in the company’s services in order to increase its service quality. 

Finally, several leads of improvements that could help the company increase its sales are suggested. Each recommendation finds roots in results from the research and the benchmark.

E-commerce --- customer satisfaction --- online trust --- loyalty --- repurchase intention --- product information --- ease of use --- ease of return --- security --- online clothes retailing --- PLS-SEM --- purchase journey --- Sciences économiques & de gestion > Multidisciplinaire, généralités & autres

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Enterprise wide project management offices (EPMO) is a recent notion that appeared in big companies in the last ten years. The idea is to homogenize the project management methods within an organization and to create consolidated reporting to the executives. 
At NRB, the latest acquisitions and the steady growth of the organization made it impossible to manage the entire project portfolio. With each silo gathering and working on the project data in their own way, it was no longer possible for the operations managers to know the overall situation and to identify operational issues related to the projects.
This project-thesis explores this notion of EPMO and tries to bring a more academic vision of the subject. It defines the first actions that have been taken in recent months at NRB and suggests a list of methods to improve the structure. 
The implementation of the EPMO starts from defining a list of KPIs that reflects the most of the operational situation of a project and a method to track the alignment of the projects with strategic objectives of the portfolio. 
Moreover, it gathers the methods of collecting the project data through the notion of data governance and the methodology to consolidate and present the data through the notions of Business Process Automation (BPA) and Business Intelligence (BI).
Finally, it takes into account the notion of maturity level in project management, seen as a real competitive advantage, through the acquisition of official certifications. The EPMO has then the role to be a support for the process owners in the study of this maturity level in order to improve it and ensure the future audits.

Project management office --- EPMO --- Key performance indicator --- Process owners --- Projects --- Business Intelligence --- Business process automation --- Operations --- Project management institute --- Project management maturity --- PMBOK --- Visual Basic for Applications --- ISO --- Project portfolio --- Data governance --- Sciences économiques & de gestion > Stratégie & innovation