Online strategies for offline business the case of Millennials and shopping centrs (Sonae Sierra)

The project, conducted within a direct research internship at Sonae Sierra, aims to propose innovative digital approaches for Shopping Centres (SC) to deal successfully with millennial consumer behavior concerning digital devices and online content in relation to shopping. An online survey followed by a focus group were conducted for this purpose. Results show a demand for specific digital services created by a SC and that their perception depends highly on gender of millennials. Moreover it´s a cohort seeking for personalized content, providing emotional or functional benefit. Consequently a SC must deliver services, as presented in this work satisfying those needs.

Proposta de um modelo de medição e análise da satisfação de clientes em empresas de software : caso prático do ambiente business-to-business

Os estudos da satisfação e lealdade do cliente em ambiente Business-to-Business têm emergido devido ao interesse práctico e académico. Recorreu-se a um caso práctico de uma empresa de software internacional, ESRI, a operar em Portugal com modelo de negócio B2B e comportamento de compra extensivo. Desenvolveu-se um modelo estrutural com 11 variáveis latentes: lealdade; satisfação; imagem; atmosfera; cooperação; adaptação; processos; tecnologia; orientação ao cliente; competências; colaboradores e comunicação. Foram analisadas 304 respostas ao questionário de satisfação e de seguida aplicou-se o modelo a seis grupos de clientes segmentados de acordo com a contribuição do cliente para as receitas e o comportamento no processo de decisão de compra. Recorreu-se a modelos SEM (Structural Equation Modelling) com estimação dos parâmetros através da metodologia PLS (partial Least Squares). Os resultados mostram nos seis segmentos, que os valores da empresa, a cooperação através da competência dos colaboradores e da orientação ao cliente e a tecnologia são factores mais importantes para a satisfação e lealdade dos clientes.

Connect to success- consulting program of the U.S. embassy Lisbon creation of a business plan for “Quinta dos I’s”

The purpose of this project is to analyse and evaluate if the rural tourism cottage Quinta dos I’s will be profitable within the first five years of operation. It starts with a brief description of the business, followed by an industry analysis of the rural tourism market in Portugal and an intensive competitor analysis to evaluate Quinta dos I’s’ competitive advantages. The project then defines a marketing plan to generate awareness and establish the cottage in the market. Finally, a financial analysis is performed to examine the outcome of Quinta dos I’s’ recommended strategic activities. The results of this project show that the cottage is profitable after the first year of operation and expects to grow annually.

Structured business solution for infrastructure projects

Companies seeking to continue growing and developing need to consider the possibility of international expansion and what that represents to their future. To tackle this challenge it becomes necessary to establish the company’s interests and priorities as well as defining and assessing the foreign market opportunities of a specific industry. This directed research internship proposes and conducts a simulation of the preliminary foreign market assessment and selection within the Juncker Plan: country filtering and ranking having as a frame of reference the second largest construction company in Brazil, Andrade Gutierrez.

The role of information systems in business process redesign : a case of Turkish electricity market

This study is specifically concerned with the effect of the Enterprise Resource Planning (ERP) on the Business Process Redesign (BPR). Researcher’s experience and the investigation on previous researches imply that BPR and ERP are deeply related to each other and a study to found the mentioned relation further is necessary. In order to elaborate the hypothesis, a case study, in particular Turkish electricity distribution market and the phase of privatization are investigated. Eight companies that have taken part in privatization process and executed BPR serve as cases in this study. During the research, the cases are evaluated through critical success factors on both BPR and ERP. It was seen that combining the ERP Solution features with business processes lead the companies to be successful in ERP and BPR implementation. When the companies’ success and efficiency were compared before and after the ERP implementation, a considerable change was observed in organizational structure. It was spotted that the team composition is important in the success of ERP projects. Additionally, when the ERP is in driver or enabler role, the companies can be considered successful. On the contrary, when the ERP has a neutral role of business processes, the project fails. In conclusion, it can be said that the companies, which have implemented the ERP successfully, have accomplished the goals of the BPR.

Yacht charter in Portugal- developing a business model for a sailing charter company

Given the signals that Portugal can be a great destination for charter sailing, the purpose of this work is to disprove this. Thereby the model of Porter’s five forces has been used to analyze the Portuguese yacht charter market, whereas a SWOT analysis should give an overview and compare the Portuguese market with the well running charter market of Croatia. The research outcome on the supply side as well as on the demand side should then serve as a foundation for establishing a model of a sailing charter company in Portugal, explained with the aid of the Canvas model.

How could marketing automation impact the business performance of Comexposium?

Comexposium continues to exhibit strong growth through global acquisition of key events. However, the company identified the need to increase the renewal rate of its exhibitors. In order to do so, Comexposium determined marketing automation software could have enormous value. However, the company currently does not have the appropriate data to determine to specific returns the software could provide. Thus, this report focused on assessing the impact of marketing automation on the business performance of a B2B enterprise and the best methods to implement and measure it. The main findings were that the software could be of immense value to Comexposium, if the company is ready to invest in internal resources and take the time to adapt to the changes the tool will incur.

Finest business plan

Field lab: Entrepreneurial and business ventures

Ideation at Canon business services

Digitalisation, globalisation, and evolving customer demands are only a few of the factors that are bound to transform the business process services industry for CBS. By investigating new ways to address these imminent challenges, this thesis explores the feasibility of implementing a formal approach to ideation to complement CBS’ service innovation practice. Two workshops were therefore conducted to put theory into action by generating new service ideas in a multifunctional team. Applying both divergent and convergent ideation techniques revealed that the latter improved an idea’s novelty and creativity as opposed to the expected increase in workability and relevance. Additionally, further analysis sheds light into the potential influence of individual characteristics and group dynamics on creativity. The thesis concludes with a discussion on the organisational implications of the findings and recommendations for future research.

[An editorial to] Recent Advances on Knowledge Discovery and Business Intelligence

Special issue guest editorial, June, 2015.

Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation

telligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in or- der to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelli- gence domains. Such procedure allowed for the identification of relationships between terms and topics grouping articles, enabling to emerge hypotheses regarding research directions. To confirm such hypotheses, relevant articles were collected and scrutinized, allowing to validate the text mining proce- dure. The results show that credit in banking is clearly the main application trend, particularly predicting risk and thus supporting credit approval or de- nial. There is also a relevant interest in bankruptcy and fraud prediction. Customer retention seems to be associated, although weakly, with targeting, justifying bank offers to reduce churn. In addition, a large number of ar- ticles focused more on business intelligence techniques and its applications, using the banking industry just for evaluation, thus, not clearly acclaiming for benefits in the banking business. By identifying these current research topics, this study also highlights opportunities for future research.

From a NoSQL data source to a business intelligence solution: An experiment

We are living in the era of Big Data. A time which is characterized by the continuous creation of vast amounts of data, originated from different sources, and with different formats. First, with the rise of the social networks and, more recently, with the advent of the Internet of Things (IoT), in which everyone and (eventually) everything is linked to the Internet, data with enormous potential for organizations is being continuously generated. In order to be more competitive, organizations want to access and explore all the richness that is present in those data. Indeed, Big Data is only as valuable as the insights organizations gather from it to make better decisions, which is the main goal of Business Intelligence. In this paper we describe an experiment in which data obtained from a NoSQL data source (database technology explicitly developed to deal with the specificities of Big Data) is used to feed a Business Intelligence solution.

Improving selective collection of urban waste using a business intelligence system

Today recovering urban waste requires effective management services, which usually imply sophisticated monitoring and analysis mechanisms. This is essential for the smooth running of the entire recycling process as well as for planning and control urban waste recovering. In this paper we present a business intelligence system especially designed and im- plemented to support regular decision-making tasks on urban waste management processes. The system provides a set of domain-oriented analytical tools for studying and characterizing poten- tial scenarios of collection processes of urban waste, as well as for supporting waste manage- ment in urban areas, allowing for the organization and optimization of collection services. In or- der to clarify the way the system was developed and the how it operates, particularly in process visualization and data analysis, we also present the organization model of the system, the ser- vices it disposes, and the interface platforms for exploring data.

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.