Artigos Publicados – 2022

012 – Application of Artificial Neural Networks for Classification of Drilling Operations: The deepwater wells case of exploration and production

Valter Chaile, Sergio Moro, Aristides Carneiro and Ricardo F. Ramos
Revista Ibérica de Sistemas e Tecnologias de Informação

The application of automatic methods for the classification of unstructured text is precious for the Oil&Gas industry. Drilling is an operation that entails high costs that demands efficiency. A classification of the various operations during drilling is vital to generate assumptions of duration for the design of new
wells. For this paper, two classification analyses for operation classification were conducted to identify the Non-Productive Time (NPT) and Productive Time (PT) best model. Conclusions led to Multi-layer Perceptron (MLP) as the best model. The classification system can produce an accurate and detailed report on the activities performed during the drilling of a well. Through this work, it is possible to
conclude that the currently available daily drilling report represents a rich source of
information and can optimize the oil well construction process.

011 – How the response to service incidents change customer–firm relationships

Pedro Simões Coelho and Paulo Rita

Purpose – This paper analyzes previously unmeasured effects of a response to a service incident called
“benevolent” within the customer –firm relationship.
Design/methodology/approach – A questionnaire was administered to telecommunication customers in a Western European country, and the model was estimated using partial least squares (PLS).
Findings – This study shows that the customer–firm relationship is surprisingly affected by the response to expected incidents that the customer interprets as acts of benevolence or opportunism. This research also shows that the firm’s incident response interpreted as benevolence or opportunism has an effect that merely positive or negative events do not. Acts of benevolence response towards an incident positively affect customer–firm relationship quality, and expectations of such acts may lead to an upward spiral in customer commitment.
Originality/value – While benevolence trust has been proposed and studied before, the response to incidents interpreted as benevolent or opportunistic and their consequences have been under-studied, hence exhibiting a research gap.
Keywords – Customer relationships, Service incidents, Expectancy and disconfirmation, Benevolence,
Paper type – Research paper

010 – Stick or Twist: The Rise of Blockchain Applications in Marketing Management

Catarina Lemos, Ricardo F. Ramos, Sérgio Moro & Pedro Miguel Oliveira

The adoption of blockchain technology by companies can change the way they interact with stakeholders, redefining communication strategies and other marketing processes. In this study, we investigated the relevance of blockchain applications for marketing management from the perspective of marketing-related professionals. Answers about blockchain technology application in the marketing arena were collected from the social platform Quora. The data were analyzed through text mining and Spearman’s correlation coefficient to assess the degree of association, inherent intensity, and the association significance between the variables payments, supply chain, loyalty programs, digital marketing, credential management, and marketing management, using Quora- specific metrics, namely, upvotes, shares, and views. The results posit blockchain technology as being an asset for marketing, with greater relevance in supply chain and internal management among marketing operations. Professionals will be able to potentially improve internal management systems and marketing campaigns, which will enhance companies’ competitive advantage.

009 – Education and Financial Mistakes: The Case of Avoidable Trading Fees in Stock Markets

Paulo Pereira da Silva & Victor Mendes
Portuguese Economic Journal

We study a quasi-natural experiment that altered the structure of commission fee schedules applied to retail investors in the Portuguese stock market in 2003.Using a difference-in-differences analysis, we show that investors with a university degree, financial knowledge and numerical skills demonstrate greater ability and eagerness in adjusting their trading patterns to the new commission schedules. The impact of education was stronger for those lacking trading experience. Investors with a university degree that were more prone to issue small orders before the event were also more eager to scale up their order size.

008 – The Seasonality Structure of Portuguese Hotel Industry’s Demand Prior to Covid 19 Pandemic

Sara Paralta & Bruno Melo Maia
European Review of Business Economics, Vol.1 (2)

The purpose of this paper is to study the monthly seasonality structure of demand
in the hotel industry in continental Portugal before the outbreak of the COVID-19
pandemic in 2020. The tourism sector accounts for more than 10% of Portugal’s GDP,
as well as being a key factor for regional development and employment. Understanding
the seasonality structure of the hotel sector provides useful insight about business
viability and aids operational decisions, namely concerning the post-pandemic recovery.
Therefore, we analyze time-series data collected from Statistics Portugal, concerning
net bed occupancy rates for continental Portugal, as well as according to region and
hotel category, for the pre-pandemic period between 2014 and 2019. This allows us to
identify the seasonal peaks according to region and compare the differences in demand
for hotels according to hotel category. We also analyze the relationship between the
seasonality coefficients and the average income per night (room rate).

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