The hospitality industry

This study of independent Portuguese hotels‘ positioning strategies regarding adopting, or not, a soft brand affiliation seeks to determine what motivates this choice. Surveyed hotels were asked to enunciate the benefits and disadvantages associated with their strategic decision, and other difficulties experienced in their business. The results indicate that international brand awareness and the hotel owners‘ long-term goals are the core factors affecting the choice. In practice, we conclude that there isn‘t a ‗one size fits all‘ strategy. Nevertheless, affiliated hotels experience an operational advantage over non-affiliated ones stemming from the affiliating organization‘s accumulated experience in sales, distribution channels and marketing resources.

The relationship between liquidity and profitability in the food & beverage industry evidence from Europe and United States

This Work Project clarifies the relationship between liquidity and profitability based on a sample in the Food & Beverage (F&B) industry, and comparing the largest European and United States companies. The research concludes that liquidity, proxied by current ratio or quick ratio, correlates with return on assets taken as the measure of profitability, and so does the cash conversion cycle and its components. Moreover, company size correlates with liquidity, and indirectly affects ROA. This research contributes and addresses to managers in the F&B industry and recommends how they should act in order to improve profitability in the industry.

exploring the differences of CSR and CSE activities on consumer attributions and responses

The following directed research project analyzes how different sustainability efforts of an organization influence consumers’ responses in an industry, which faces high controversy. The study tested shows how two different high fit sustainability endeavors, namely high fit Corporate Social Responsibility (CSR) activities and Corporate Social Entrepreneurship (CSE), affect the way consumers’ attributions are being made with regard to the company’s motive. With data gathered from surveying 156 participants, the study provides evidence that CSR as well as CSE programs stimulate values-driven attributions which positively affect consumers’ trust, corporate reputation and corporate image. Lastly, theoretical and managerial implications of the study are discussed and future research suggestions provided.

Return on assets in the Tobacco Industry analysis of the four main Tobacco Manufacturers

This paper studies operating profitability drivers in the Four Main Tobacco Manufacturers for the period 2004-2014. The operating profitability is analyzed as return on assets (ROA) based on the DuPont Extended Model breakdown in degree of operational risk, gross sales margin and assets turnover. The sources of ROA are market share and price strategies appraised through the drivers: firm-size, global value and strategic choices. Using consolidated data, results suggest that firm-size and global value holds a positive relationship with ROA. Also innovation through less harmful tobacco products can lead to better ROA despite no correlation between R&D and ROA.

Portuguese footwear

This case study deals with the reasons why the Portuguese Footwear Cluster evolved from a small industry focused on the Portuguese internal market into a high-tech industry capable of designing and producing some of the best and most expensive shoes in the world. It went from using the low labor costs of an under-developed economy to produce long series of shoes for pre-designated brands in Northern Europe to having the ability to produce some of the highest quality shoes in the world, in small orders, designed and delivered in record timing, while offering a service of excellence. In 1960, when Portugal became a founding member of EFTA, the footwear industry in Portugal was globally irrelevant, producing low quality shoes directed to the puny internal market and its African colonies. The new free trade zone with economies much more developed that itself, led to the transfer of the labor-intensive, low skilled manufacture from the UK and Scandinavian countries to Portugal. Mostly through joint ventures, the industry was able to mechanize itself so it could produce shoes in long series at low prices. It grew based on that model up until the 1990s, when the emergence of the Asian countries meant either a different strategy or extinction. Taking advantage of a clarified leadership of its trade association, it used the European funds made available to it during the 1990s, to modernize its factory floors, so it could become more nimble and flexible, expand its design capabilities and dramatically change its image abroad. The role of the trade association, APICCAPS, was instrumental throughout the process going well beyond what came to be expected of trade associations. It used its privileged position to provide understanding regarding the current situation and competitive landscape, alerting for changes ahead and at the same time providing a strategic vision on how to deal with the challenges. Moreover, it helped companies get the resources they needed by creating a research center in collaboration with a University, by creating a process that allowed companies to learn from each other via the show casing of projects sponsored by the association or by helping industrials traveling to locations where new customers could be found. The case study provides insight on how the trade association leadership, which has no formal authority over its members, was able to guide and motivate an industry through a consistent positive approach. That approach focused on the solutions, on the opportunities and on the success stories of companies in the cluster rather than on what was wrong or needed to be addressed. Based on this case, one could use the leadership role of the trade association to discuss and change leaders’ roles and styles in other sectors or even companies.

Project management: evaluation of the problems in the portuguese construction industry

During recent decades it has been possible to identify several problems in construction industry project management, related with to systematic failures in terms of fulfilling its schedule, cost and quality targets, which highlight a need for an evaluation of the factors that may cause these failures. Therefore, it is important to understand how project managers plan the projects, so that the performance and the results can be improved. However, it is important to understand if other areas beyond cost and time management that are mentioned on several studies as the most critical areas, receive the necessary attention from construction project managers. Despite the cost and time are the most sensitive areas/fields, there are several other factors that may lead to project failure. This study aims at understand the reasons that may cause the deviation in terms of cost, time and quality, from the project management point of view, looking at the knowledge areas mentioned by PMI (Project Management Institute).

Hand gesture recognition for human computer interaction : a comparative study of different image features

Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

Step towards of a homemade business intelligence solution: A case study in textile industry

Nowadays, organizations are increasingly looking to invest in business intelligence solutions, mainly private companies in order to get advantage over its competitors, however they do not know what is necessary. Business intelligence allows an analysis of consolidated information in order to obtain more specific outlets and certain indications in order to support the decision making process. You can take the right decision based on the data collected from different information systems present in the organization and outside of them. The textile sector is a sector where concept of Business Intelligence it is not many explored yet. Actually there are few textile companies that have a BI platform. Thus, the article objective is present an architecture and show all the steps by which companies need to spend to implement a successful free homemade Business Intelligence system. As result the proposed approach it was validated using real data aiming assess the steps defined.

Quantitative image analysis as a tool for Yarrowia lipolytica dimorphic growth evaluation in different culture media

Yarrowia lipolytica, a yeast strain with a huge biotechnological potential, capable to produce metabolites such as γ-decalactone, citric acid, intracellular lipids and enzymes, possesses the ability to change its morphology in response to environmental conditions. In the present study, a quantitative image analysis (QIA) procedure was developed for the identification and quantification of Y. lipolytica W29 and MTLY40-2P strains dimorphic growth, cultivated in batch cultures on hydrophilic (glucose and N-acetylglucosamine (GlcNAc) and hydrophobic (olive oil and castor oil) media. The morphological characterization of yeast cells by QIA techniques revealed that hydrophobic carbon sources, namely castor oil, should be preferred for both strains growth in the yeast single cell morphotype. On the other hand, hydrophilic sugars, namely glucose and GlcNAc caused a dimorphic transition growth towards the hyphae morphotype. Experiments for γ-decalactone production with MTLY40-2P strain in two distinct morphotypes (yeast single cells and hyphae cells) were also performed. The obtained results showed the adequacy of the proposed morphology monitoring tool in relation to each morphotype on the aroma production ability. The present work allowed establishing that QIA techniques can be a valuable tool for the identification of the best culture conditions for industrial processes implementation.

Exploring TM image texture and its relationships with biomass estimation in Rondônia, Brazilian Amazon

Many texture measures have been developed and used for improving land-cover classification accuracy, but rarely has research examined the role of textures in improving the performance of aboveground biomass estimations. The relationship between texture and biomass is poorly understood. This paper used Landsat Thematic Mapper (TM) data to explore relationships between TM image textures and aboveground biomass in Rondônia, Brazilian Amazon. Eight grey level co-occurrence matrix (GLCM) based texture measures (i.e., mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation), associated with seven different window sizes (5x5, 7x7, 9x9, 11x11, 15x15, 19x19, and 25x25), and five TM bands (TM 2, 3, 4, 5, and 7) were analyzed. Pearson's correlation coefficient was used to analyze texture and biomass relationships. This research indicates that most textures are weakly correlated with successional vegetation biomass, but some textures are significantly correlated with mature forest biomass. In contrast, TM spectral signatures are significantly correlated with successional vegetation biomass, but weakly correlated with mature forest biomass. Our findings imply that textures may be critical in improving mature forest biomass estimation, but relatively less important for successional vegetation biomass estimation.

Inovação como fator de competitividade da cadeia de valor da moda

Tese de Doutoramento em Engenharia Têxtil

Promoting sustainability as a strategy to mitigate the effects of economic downturn on the construction industry

During the recent years followed by the Global Financial Crisis (GFC), most of business and industries around the globe have been hardly hit to the limit that it still struggling to survive, suffering from the crisis financial consequences. For instance, in the construction industry; many construction projects have been suspended or totally cancelled. Nevertheless, among this dilemma, a call has been raised to use the sustainable practices to mitigate the effects of the GFC on construction industry. For the first look, it seems that there is contradiction since the sustainable solutions are often associated with an increase in the initial cost, undoubtedly, the sustainable practices have many advantages in both economic and environment aspects, however, the question which needs to be addressed here is, to what extent using such sustainable practices can mitigate the negative effects of the economic downturn on construction industry. Therefore, it is a challenging argument for using such sustainable construction from its economic perspective, however, this paper is aiming to present the economical benefits of sustainable practices in construction industry, and trying to clear the doubt of the high initial costs of the sustainable construction through studying the life cycle benefit of green building.

Quality costs analysis: case study in the automotive industry

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

Aplicação de celulases e xilanases na reciclagem de fibras de papel

Tese de Doutoramento em Engenharia Química e Biológica (área de conhecimento em Engenharia Enzimática e das Fermentações)