Model to evaluate customer satisfaction in e-commerce through multi-criteria and semantic analysis

Trabajo de Grado (Profundización)Se presenta un modelo de evaluación multicriterio para la medición de satisfacción del cliente en el sector de comercio electrónico, el modelo propone 7 criterios objetivos de evaluación, a saber: seguridad, información, producto o servicio, distribución logística, diseño del sitio, servicio al cliente y usabilidad, cada criterio tiene un peso estimado según la importancia percibida por los clientes. Se extraen los comentarios de la red social Facebook de dos plataformas de comercio electrónico que operan en Colombia y se realiza la medición de satisfacción del cliente obteniendo resultados importantes para la toma de decisiones empresariales.1. INTRODUCTION 2. PROBLEM STATEMENT 3. OBJETIVES 4. CONCEPTUAL FRAMEWORK 5. THEORETICAL FRAMEWORK 6. STATE OF THE ART 7. METHODOLOGY 8. VIGILANCIA TECNOLÓGICA 9. ONTOLOGY FOR E-COMMERCE 10. RESULTS 11. CONCLUSIONS 12. FUTURE WORKS 13. REFERENCESMaestríaMagister en Ingeniería y Gestión de la Innovació

Determining Additional Modulus of Subgarde Reaction Based on Tolerable Settlement for the Nailed-slab System Resting on Soft Clay.

Abstract—Nailed-slab System is a proposed alternative solution for rigid pavement problem on soft soils. Equivalent modulus of subgrade reaction (k’) can be used in designing of nailed-slab system. This modular is the cumulative of modulus of subgrade reaction from plate load test (k) and additional modulus of subgrade reaction due to pile installing (∆∆∆∆k). A recent method has used reduction of pile resistance approach in determining ∆∆∆∆k. The relative displacement between pile and soils, and reduction of pile resistance has been identified. In fact, determining of reduction of pile resistance is difficult. This paper proposes an approach by considering tolerable settlement of rigid pavement. Validation is carried out with respect to a loading test of nailed-slab models. The models are presented as strip section of rigid pavement. The theory of beams on elastic foundation is used to calculate the slab deflection by using k’. Proposed approach can results in deflection prediction close to observed one. In practice, the Nailed-slab System would be constructed by multiple-row piles. Designing this system based on one-pile row analysis will give more safety design and will consume less time

Data mining methods for the prediction of intestinal absorption using QSAR

Oral administration is the most common route for administration of drugs. With the growing cost of drug discovery, the development of Quantitative Structure-Activity Relationships (QSAR) as computational methods to predict oral absorption is highly desirable for cost effective reasons. The aim of this research was to develop QSAR models that are highly accurate and interpretable for the prediction of oral absorption. In this investigation the problems addressed were datasets with unbalanced class distributions, feature selection and the effects of solubility and permeability towards oral absorption prediction. Firstly, oral absorption models were obtained by overcoming the problem of unbalanced class distributions in datasets using two techniques, under-sampling of compounds belonging to the majority class and the use of different misclassification costs for different types of misclassifications. Using these methods, models with higher accuracy were produced using regression and linear/non-linear classification techniques. Secondly, the use of several pre-processing feature selection methods in tandem with decision tree classification analysis – including misclassification costs – were found to produce models with better interpretability and higher predictive accuracy. These methods were successful to select the most important molecular descriptors and to overcome the problem of unbalanced classes. Thirdly, the roles of solubility and permeability in oral absorption were also investigated. This involved expansion of oral absorption datasets and collection of in vitro and aqueous solubility data. This work found that the inclusion of predicted and experimental solubility in permeability models can improve model accuracy. However, the impact of solubility on oral absorption prediction was not as influential as expected. Finally, predictive models of permeability and solubility were built to predict a provisional Biopharmaceutic Classification System (BCS) class using two multi-label classification techniques, binary relevance and classifier chain. The classifier chain method was shown to have higher predictive accuracy by using predicted solubility as a molecular descriptor for permeability models, and hence better final provisional BCS prediction. Overall, this research has resulted in predictive and interpretable models that could be useful in a drug discovery context

Evaluation of Alternative Non-Animal Approaches for the Prediction of Skin Sensitisation Potential of Agrochemicals

Skin sensitisation in humans is an important toxicological effect to be determined should there be frequent and prolonged exposure. Current approaches to assessing skin sensitisation mostly utilise in vivo testing, although there is a move to alternatives such as in silico, in chemico and in vitro approaches. The aim of this thesis was to investigate whether these alternative approaches could be utilised for agrochemical active ingredients (AIs) and formulations. Agrochemicals represent a unique problem for risk assessment due to the high level of regulatory compliance required in addition to the intrinsic issues of assessing formulations. Using the in vivo experimental results as a benchmark, the overall sensitivity and specificity of the Classification Labelling and Packaging (CLP) threshold calculation method, regardless of agrochemical formulation type, were determined to be 58% and 82% respectively. Thus, for the plant production products (PPPs) assessed, the threshold method had a high probability of accurately predicting non-sensitisers. To supplement the information, the in vitro triple pack (Direct Peptide Reactivity Assay, KeratinoSensTM and h-CLAT) was applied using established Integrated Testing Strategies and Defined Approaches. Overall, the triple pack performed poorly for the assessment of AIs and formulations alike. The Genomic Allergen Rapid Detection (GARD) assay for the ten AIs showed a high sensitivity but a low total accuracy; the sensitivity was 0% with the in vivo non-sensitisers being predicted as sensitisers in the GARD assay. Eight of the ten PPPs tested in the SENS-IS assay produced results that were in good agreement with the vertebrate study outcomes. Findings from investigations into the Two Dimensional (2D) in vitro test methods demonstrated that testing of complex mixtures in those models could not be conducted accurately with current methods. Use of the SENS-IS method allowed for direct application of the PPP to the Reconstructed Human Epidermis (RhE) test system so that good comparison to the products intended and anticipated use can be made. It is envisaged that the work conducted in this thesis will add to the toxicology research conducted on skin sensitisation thus far and be of use primarily for decision making in hazard assessment of agrochemicals

Authentication technology methods for E-Commerce applications in Nigeria — a case for biometric digital security contactless palm vein authentication

E-Commerce has become one of the most interesting and beneficial Internet-enabled systems for humanity. E-Commerce has served as an economic enabler and driver for developed countries because of the total adoption by their citizens. However, in Nigeria citizens have rejected E-Commerce due to a lack of trust and inadequate security. This research identifies several factors that lead to distrust of E-Commerce systems in Nigeria. These factors: perceived fear, security, perceived risk, trust, usability, perceived advantage, and use of web assurance seal services are very important for intention to adopt E-Commerce as an online transaction technology. This thesis uses a novel Design Fiction and E-Commerce website simulation methodology to show citizens how new and improved security in E-Commerce could increase those citizens' trust and thus increase their intention to adopt E-Commerce. The research surveys a broad demographic sample of citizens from Nigeria who completed a set of tasks associated with the novel Design Fiction and E-Commerce website simulation followed by a detailed questionnaire. The questionnaire, with associated items, was designed to answer the research questions and hypothesis based on the E-Commerce Adoption Model proposed in the thesis. This new E-Commerce Adoption model is based on the Technology Acceptance Model and uses to comparatively test Digital Signature, Finger Print Identification, and Contactless Palm Vein Authentication technologies in E-Commerce transactions. Results from the survey show that Contactless Palm Vein Authentication leads to greater trust in E-Commerce in Nigeria. The thesis research findings also indicate that new improved security authentication techniques are overdue. The research indicates that poor E-Commerce adoption in Nigeria is mainly due to a key identified factor, which is security. The conceptual model and trust model are developed for E-Commerce adoption in Nigeria. Therefore, it shows that citizens are willing to accept Contactless Palm Vein Authentication as a solution. In particular, the research results also show that there are strong relationships between all the identified factors and citizens’ intention to adopt E-Commerce in Nigeria thus rejecting all null hypotheses

Factors Influencing Customer Satisfaction towards E-shopping in Malaysia

Online shopping or e-shopping has changed the world of business and quite a few people have decided to work with these features. What their primary concerns precisely and the responses from the globalisation are the competency of incorporation while doing their businesses. E-shopping has also increased substantially in Malaysia in recent years. The rapid increase in the e-commerce industry in Malaysia has created the demand to emphasize on how to increase customer satisfaction while operating in the e-retailing environment. It is very important that customers are satisfied with the website, or else, they would not return. Therefore, a crucial fact to look into is that companies must ensure that their customers are satisfied with their purchases that are really essential from the ecommerce’s point of view. With is in mind, this study aimed at investigating customer satisfaction towards e-shopping in Malaysia. A total of 400 questionnaires were distributed among students randomly selected from various public and private universities located within Klang valley area. Total 369 questionnaires were returned, out of which 341 questionnaires were found usable for further analysis. Finally, SEM was employed to test the hypotheses. This study found that customer satisfaction towards e-shopping in Malaysia is to a great extent influenced by ease of use, trust, design of the website, online security and e-service quality. Finally, recommendations and future study direction is provided. Keywords: E-shopping, Customer satisfaction, Trust, Online security, E-service quality, Malaysia