Online MBPeT dashboard : enabling performance testing as a service in the cloud

In this thesis, tool support is addressed for the combined disciplines of Model-based testing and performance testing. Model-based testing (MBT) utilizes abstract behavioral models to automate test generation, thus decreasing time and cost of test creation. MBT is a functional testing technique, thereby focusing on output, behavior, and functionality. Performance testing, however, is non-functional and is concerned with responsiveness and stability under various load conditions. MBPeT (Model-Based Performance evaluation Tool) is one such tool which utilizes probabilistic models, representing dynamic real-world user behavior patterns, to generate synthetic workload against a System Under Test and in turn carry out performance analysis based on key performance indicators (KPI). Developed at Åbo Akademi University, the MBPeT tool is currently comprised of a downloadable command-line based tool as well as a graphical user interface. The goal of this thesis project is two-fold: 1) to extend the existing MBPeT tool by deploying it as a web-based application, thereby removing the requirement of local installation, and 2) to design a user interface for this web application which will add new user interaction paradigms to the existing feature set of the tool. All phases of the MBPeT process will be realized via this single web deployment location including probabilistic model creation, test configurations, test session execution against a SUT with real-time monitoring of user configurable metric, and final test report generation and display. This web application (MBPeT Dashboard) is implemented with the Java programming language on top of the Vaadin framework for rich internet application development. The Vaadin framework handles the complicated web communications processes and front-end technologies, freeing developers to implement the business logic as well as the user interface in pure Java. A number of experiments are run in a case study environment to validate the functionality of the newly developed Dashboard application as well as the scalability of the solution implemented in handling multiple concurrent users. The results support a successful solution with regards to the functional and performance criteria defined, while improvements and optimizations are suggested to increase both of these factors.

ASSESSING QUALITY IN HIGH-UNCERTAINTY MARKETS: ONLINE REVIEWS OF CREDENCE SERVICES

In economics of information theory, credence products are those whose quality is difficult or impossible for consumers to assess, even after they have consumed the product (Darby & Karni, 1973). This dissertation is focused on the content, consumer perception, and power of online reviews for credence services. Economics of information theory has long assumed, without empirical confirmation, that consumers will discount the credibility of claims about credence quality attributes. The same theories predict that because credence services are by definition obscure to the consumer, reviews of credence services are incapable of signaling quality. Our research aims to question these assumptions. In the first essay we examine how the content and structure of online reviews of credence services systematically differ from the content and structure of reviews of experience services and how consumers judge these differences. We have found that online reviews of credence services have either less important or less credible content than reviews of experience services and that consumers do discount the credibility of credence claims. However, while consumers rationally discount the credibility of simple credence claims in a review, more complex argument structure and the inclusion of evidence attenuate this effect. In the second essay we ask, “Can online reviews predict the worst doctors?” We examine the power of online reviews to detect low quality, as measured by state medical board sanctions. We find that online reviews are somewhat predictive of a doctor’s suitability to practice medicine; however, not all the data are useful. Numerical or star ratings provide the strongest quality signal; user-submitted text provides some signal but is subsumed almost completely by ratings. Of the ratings variables in our dataset, we find that punctuality, rather than knowledge, is the strongest predictor of medical board sanctions. These results challenge the definition of credence products, which is a long-standing construct in economics of information theory. Our results also have implications for online review users, review platforms, and for the use of predictive modeling in the context of information systems research.

Effect of Aging in the Perception of Health-Related Quality of Life in End-Stage Renal Disease Patients under Online-Hemodiafiltration

This work aimed to evaluate how aging could influence patients' perception of health quality of life (HRQOL), as well as, the effect of aging on dialysis adequacy and in hematological, iron status, inflammatory and nutritional markers. In this transversal study were enrolled 305 ESRD patients under online-hemodiafiltration (OL-HDF) (59.67% males; 64.9 ± 14.3 years old). Data about comorbidities, hematological data, iron status, dialysis adequacy, nutritional and inflammatory markers were collected from patient's records. Moreover, HRQOL score, by using the Kidney Disease Quality of Life-Short Form (KDQOL-SF), was assessed. Analyzing the results according to quartiles of age, significant differences were found for some parameters evaluated by the KDQOL-SF instrument, namely for work status, physical functioning and role-physical, which decreased with increasing age. We also found a higher proportion of diabetic patients, a decrease in creatinine, iron, albumin serum levels, transferrin saturation and nPCR, with increasing age. Moreover, significant negative correlations were found between age and mean cell hemoglobin concentration, iron, transferrin saturation, albumin, nPCR, work status, physical functioning and role-physical. In conclusion, our results showed that aging is associated with a decreased work status, physical functioning and role-physical, with a decreased dialysis adequacy, iron availability and nutritional status, and with an increased proportion of diabetic patients and of patients using central venous catheter, as the vascular access. The knowledge of these changes associated with aging, which have impact in the quality of life of the patients, could be useful in their management.

Active Data Collection Techniques to Understand Online Scammers and Cybercriminals

Nigerian scam, also known as advance fee fraud or 419 scam, is a prevalent form of online fraudulent activity that causes financial loss to individuals and businesses. Nigerian scam has evolved from simple non-targeted email messages to more sophisticated scams targeted at users of classifieds, dating and other websites. Even though such scams are observed and reported by users frequently, the community’s understanding of Nigerian scams is limited since the scammers operate “underground”. To better understand the underground Nigerian scam ecosystem and seek effective methods to deter Nigerian scam and cybercrime in general, we conduct a series of active and passive measurement studies. Relying upon the analysis and insight gained from the measurement studies, we make four contributions: (1) we analyze the taxonomy of Nigerian scam and derive long-term trends in scams; (2) we provide an insight on Nigerian scam and cybercrime ecosystems and their underground operation; (3) we propose a payment intervention as a potential deterrent to cybercrime operation in general and evaluate its effectiveness; and (4) we offer active and passive measurement tools and techniques that enable in-depth analysis of cybercrime ecosystems and deterrence on them. We first created and analyze a repository of more than two hundred thousand user-reported scam emails, stretching from 2006 to 2014, from four major scam reporting websites. We select ten most commonly observed scam categories and tag 2,000 scam emails randomly selected from our repository. Based upon the manually tagged dataset, we train a machine learning classifier and cluster all scam emails in the repository. From the clustering result, we find a strong and sustained upward trend for targeted scams and downward trend for non-targeted scams. We then focus on two types of targeted scams: sales scams and rental scams targeted users on Craigslist. We built an automated scam data collection system and gathered large-scale sales scam emails. Using the system we posted honeypot ads on Craigslist and conversed automatically with the scammers. Through the email conversation, the system obtained additional confirmation of likely scam activities and collected additional information such as IP addresses and shipping addresses. Our analysis revealed that around 10 groups were responsible for nearly half of the over 13,000 total scam attempts we received. These groups used IP addresses and shipping addresses in both Nigeria and the U.S. We also crawled rental ads on Craigslist, identified rental scam ads amongst the large number of benign ads and conversed with the potential scammers. Through in-depth analysis of the rental scams, we found seven major scam campaigns employing various operations and monetization methods. We also found that unlike sales scammers, most rental scammers were in the U.S. The large-scale scam data and in-depth analysis provide useful insights on how to design effective deterrence techniques against cybercrime in general. We study underground DDoS-for-hire services, also known as booters, and measure the effectiveness of undermining a payment system of DDoS Services. Our analysis shows that the payment intervention can have the desired effect of limiting cybercriminals’ ability and increasing the risk of accepting payments.

Get your website noticed How to reach, acquire and retain customers online

The Internet has developed itself as a major tool in marketing. With the advent of the Internet, online marketing has become the main marketing strategy used by most companies to promote their products. However, with the Internet, competition among companies has increased as each company has an opportunity to reach the same type of potential consumers through the Internet. This implies that for a company to attract and retain customers, it has to employ unique features in its website in order to make it stand out. This study was aimed at determining the features of a company’s website which can help to attract and retain customers. It was also meant to find out about the online marketing strategies that can be used to attract customers at the initial stage as well as find out on how companies engage their customers on their site. In this study, the qualitative method of research was used. Data collection was done using interviews. The interviewees were selected from marketing agencies in Finland

Os efeitos das reclamações online na lealdade dos consumidores: um estudo experimental

In an environment of constant change, technological developments, market competition and more informed consumers, the search for a lasting relationship through the conquest of loyalty has become the objective of companies. However, several authors suggest that this loyalty can be affected by negative comments available on the internet. Therefore, this dissertation has as objective to examine if the complaints are available on the internet impact the loyalty to a brand of mobile phone. The research used as the basis the Expanded NCSB model suggest by Johnson et al. (2001), studying five prominent drives of loyalty: image/brand reputation, affective commitment, calculative commitment, perceived value and trust, beyond the satisfaction construct as moderator variable. The research method adopted was the experimental design which included 285 undergraduate students, with the trial which included 285 undergraduate students, with the field study of the mobile industry, specifically, the brands of cell phones. The research approach was quantitative and methods were descriptive statistics, factor analysis, cluster analysis, linear regression and non-parametric test of Wilcoxon for data analysis. Of the 16 hypothesis stemmed from the research model proposed, 12 were confirmed. The results showed that the complaint available on the internet, here represented by the available on the site Reclame Aqui, may impact consumer perceptions about brand loyalty, as well as its antecedents, being that these complaints can affect all the consumers, regardless of historical satisfaction with the brand. It also noted the positive relationship between the independent variables trust, image/brand reputation, perceived value, affective commitment and calculative commitment and the dependent variable - loyalty, even when considering the data obtained after exposure to the complaint. However, no unanimous conclusion that the relationship between these variables was strongest in the group with satisfactory experience. At the first moment of the research, the trust was the most important variable for the formation of loyalty. However, after exposure to treatment, the image/brand reputation, was more relevant. Contributions of the study, limitations and recommendations for future researches are approached in the present investigation

Employment testing online, offline, and over the phone: implications for e-assessment

This research investigated faking across test administration modes in an employment testing scenario. For the first time, phone administration was included. Participants (N = 91) were randomly allocated to testing mode (telephone, Internet, or pen-and-paper). Participants completed a personality measure under standard instructions and then under instructions to fake as an ideal police applicant. No significant difference in any faked personality domains as a function of administration mode was found. Effect sizes indicated that the influence of administration mode was small. Limitations and future directions are considered. Overall, results indicate that if an individual intends to fake on a self-report test in a vocational assessment scenario, the electronic administration mode in which the test is delivered may be unimportant.

As redes sociais e a participação política no âmbito do marketing político do Governo Federal Brasileiro entre 2011 e 2014 : atuação do Ministério da Educação no Facebook

A democracia contemporânea vem, ao longo das últimas décadas, recebendo cada vez mais influência dos meios de comunicação em seus processos. Com o surgimento e propagação da Internet, os governos tem precisado se adaptar e se preocupar com a transparência de suas ações e com as inúmeras vozes de atores sociais cada vez mais conectados, informados e munidos de ferramentas, por meio das quais, podem realizar comunicações de grande alcance de forma rápida e eficaz, sem o intermédio de grandes meios de comunicação. Com o objetivo de observar a relação entre o governos e cidadãos por meio das redess sociais online – um dos principais meios por onde a sociedade, hoje, tem se comunicado e se mobilizado sobre inúmeras, inclusive, políticas – esse estudo analisou como o Ministério da Educação do Brasil (MEC), órgão responsável pelo planejamento e desenvolvimento de políticas públicas para educação no país, trabalha sua comunicação com o cidadão por meio do Facebook e como utiliza essa ferramenta no processo de implementação e avaliação de suas políticas. O trabalho foi realizado por meio do estudo exploratório e da análise qualitativa dos dados colhidos na página MEC no Facebook entre anos de 2011 e 2014, período do primeiro mandato da presidente Dilma Rousseff. Com a análise, observou-se que o MEC modificou bastante a forma como se comunica por esta rede social, recebendo, inclusive, aparente melhor infra-estrutura para esta tarefa. Sua mudança de postura no Facebook deixa claro o interesse e a busca pela participação dos cidadadãos no desevolvimento de suas políticas públicas. Por outro lado, mostra que essa participação é, de certa forma, limitada pela atitude do MEC de não desenvolver diálogo com o cidadão, mantendo-os sempre a certa distância.

AN EMPIRICAL ASSESSMENT OF USER ONLINE SECURITY BEHAVIOR: EVIDENCE FROM A UNIVERSITY

The ever-increasing number and severity of cybersecurity breaches makes it vital to understand the factors that make organizations vulnerable. Since humans are considered the weakest link in the cybersecurity chain of an organization, this study evaluates users’ individual differences (demographic factors, risk-taking preferences, decision-making styles and personality traits) to understand online security behavior. This thesis studies four different yet tightly related online security behaviors that influence organizational cybersecurity: device securement, password generation, proactive awareness and updating. A survey (N=369) of students, faculty and staff in a large mid-Atlantic U.S. public university identifies individual characteristics that relate to online security behavior and characterizes the higher-risk individuals that pose threats to the university’s cybersecurity. Based on these findings and insights from interviews with phishing victims, the study concludes with recommendations to help similat organizations increase end-user cybersecurity compliance and mitigate the risks caused by humans in the organizational cybersecurity chain.

Perceções e atitude acerca da publicidade nas redes sociais e nos motores de pesquisa : uma análise comparativa

Mestrado em Marketing

The Relationship between Faculty Perceptions and Implementation of Elements of Transactional Distance Theory and Online Web-Based Course Completion Rates

The purpose of this study was to explore the relationship between faculty perceptions, selected demographics, implementation of elements of transactional distance theory and online web-based course completion rates. This theory posits that the high transactional distance of online courses makes it difficult for students to complete these courses successfully; too often this is associated with low completion rates. Faculty members play an indispensable role in course design, whether online or face-to-face. They also influence course delivery format from design through implementation and ultimately to how students will experience the course. This study used transactional distance theory as the conceptual framework to examine the relationship between teaching and learning strategies used by faculty members to help students complete online courses. Faculty members’ sex, number of years teaching online at the college, and their online course completion rates were considered. A researcher-developed survey was used to collect data from 348 faculty members who teach online at two prominent colleges in the southeastern part of United States. An exploratory factor analysis resulted in six factors related to transactional distance theory. The factors accounted for slightly over 65% of the variance of transactional distance scores as measured by the survey instrument. Results provided support for Moore’s (1993) theory of transactional distance. Female faculty members scored higher in all the factors of transactional distance theory when compared to men. Faculty number of years teaching online at the college level correlated significantly with all the elements of transactional distance theory. Regression analysis was used to determine that two of the factors, instructor interface and instructor-learner interaction, accounted for 12% of the variance in student online course completion rates. In conclusion, of the six factors found, the two with the highest percentage scores were instructor interface and instructor-learner interaction. This finding, while in alignment with the literature concerning the dialogue element of transactional distance theory, brings a special interest to the importance of instructor interface as a factor. Surprisingly, based on the reviewed literature on transactional distance theory, faculty perceptions concerning learner-learner interaction was not an important factor and there was no learner-content interaction factor.

Travellers’ intention to purchase travel online: integrating trust and risk to the theory of planned behaviour

This study aims to determine which factors influence travellers’ intentions to purchase travel online by proposing and empirically testing a new model grounded on the theory of planned behaviour. In order to validate the model, a web-based questionnaire was applied and a total of 1732 valid responses were obtained. The findings show that attitudes, perceived risk, and perceived behavioural control have significant effects on intentions to purchase travel online. However, contrary to what was expected, neither trust nor the influence of others seems to directly affect intentions to purchase travel online. Finally, the paper discusses the findings with the implicationsfor theory and practice and makes several suggestions for future research.

Travellers’ intention to purchase travel online: integrating trust and risk to the theory of planned behaviour

This study aims to determine which factors influence travellers’ intentions to purchase travel online by proposing and empirically testing a new model grounded on the theory of planned behaviour. In order to validate the model, a web-based questionnaire was applied and a total of 1732 valid responses were obtained. The findings show that attitudes, perceived risk, and perceived behavioural control have significant effects on intentions to purchase travel online. However, contrary to what was expected, neither trust nor the influence of others seems to directly affect intentions to purchase travel online. Finally, the paper discusses the findings with the implications for theory and practice and makes several suggestions for future research.

Online presence of the international automobile industry: evaluation of the digital business representation in the business to consumer section of the international automobile industry

Tesis inédita presentada en la Universidad Europea de Madrid. Facultad de Ciencias Sociales. Programa de Doctorado en Economía y Empresa

Desenvolvimento de uma plataforma online na área da restauração

Cada vez mais, no nosso quotidiano, recorremos à internet para obter respostas aos nossos problemas diários, para tal existem motores de busca que nos facilitam a procura. Por vezes não somos bem-sucedidos na nossa busca, pela complexidade dos nossos requisitos, ou pela sua especificidade. Neste projeto considera-se como caso de estudo o modelo de negócio que suporta a divulgação, por parte das empresas de restauração, das informações acerca das suas refeições disponibilizadas diariamente. No sentido de avaliar a viabilidade do projeto no contexto do caso de estudo considerado, são realizados dois estudos: um estudo de marketing, como intuito de avaliar as suas mais-valias e fraquezas; e uma avaliação das plataformas online atualmente existentes na área da restauração. O objetivo principal deste projeto é desenvolver uma plataforma online, utlizando a tecnologia Outsystems, que facilite a apresentação das refeições diárias de cada empresa de restauração, apoiando diariamente a decisão do utilizador (consumidor), e disponibilizando-lhe um serviço de pesquisa eficaz e de simples utilização. Pretende-se sustentar o desenvolvimento através do alinhamento, da tecnologia proposta, com o modelo de negócio considerado. Ou seja, a plataforma possibilita a interação entre os seus atores, ao longo do processo de negócio, estabelecendo claramente a responsabilidade de cada um, nas suas comunicações. Assim, pretendemos que esta plataforma seja o suporte do modelo de negócio, correspondendo às funcionalidades pretendidas e facilitando a sua futura integração com outras áreas. A validação da solução desenvolvida neste projeto foi realizada através de inquéritos de satisfa-ção, e testes de usabilidade, aos diferentes utilizadores da plataforma. De acordo com o resultado final da plataforma desenvolvida, podemos afirmar que esta, possui todas as funcionalidades necessárias para atingir os objetivos iniciais deste projeto.