Análise de Sentimentos/Mineração de Opinião é adotada na engenharia de software para questões como usabilidade e sentimentos de desenvolvedores em projetos. Este trabalho propõe métodos para avaliar os sentimentos presentes em tíquetes abertos à área de suporte de TI. Há diversos tipos de tíquetes abertos à TI (e.g. infraestrutura, software), que envolvem erros, incidentes, requisições, etc. O maior desafio é automaticamente distinguir entre a necessidade em si, a qual é intrinsecamente negativa (por exemplo, a descrição de um erro), de um sentimento embutido na descrição. Nossa abordagem automaticamente cria um dicionário de domínio que contém termos que expressam sentimentos no contexto de TI, utilizados para filtrar expressões em um tíquete para análise de sentimentos. Nós criamos e avaliamos três métodos de classificação para calcular a polaridade em tíquetes. Nosso estudo utilizou 34.895 tíquetes de cinco organizações. Para polaridade, 2.333 tíquetes foram selecionados aleatoriamente para compor nosso gold standard. Nossos melhores resultados apresentam uma precisão e revocação de 82,83% e 88,42%, respectivamente, o que supera outras soluções de análise de sentimentos comparadas. De forma complementar, emoções em tíquetes foram estudadas considerando os modelos de Ekman e VAD. Um dos três métodos de classificação criados foi adaptado para também identificar emoções nos tíquetes. Possíveis correlações entre polaridade e emoções foram verificadas via regras de associação. Resultados correlacionam tíquetes positivos com valência e dominância altas e excitação baixa, além de presença de alegria e surpresa e ausência de medo. Tíquetes negativos correlacionam com valência, excitação e dominância neutras, além de ausência de alegria e presença de medo. Contudo os resultados para a polaridade negativa não são precisos. / Sentiment Analysis/Opinion Mining has been adopted in software engineering for problems such as software usability and sentiment of developers in projects. This work proposes methods to evaluate the sentiment contained in tickets for IT (Information Technology) support. IT tickets are broad in coverage (e.g. infrastructure, software), and involve errors, incidents, requests, etc. The main challenge is to automatically distinguish between factual information, which is intrinsically negative (e.g. error description), from the sentiment embedded in the description. Our approach is to automatically create a domain dictionary that contains terms with sentiment in IT context, used to filter terms in tickets for sentiment analysis. We created and evaluate three classification methods for calculating the polarity of terms in tickets. Our study was developed using 34,895 tickets from five organizations. For polarity, we randomly selected 2.333 tickets to compose a gold standard. Our best results display an average precision and recall of 82.83% and 88.42%, respectively, which outperforms the compared sentiment analysis solutions. Complementarily, emotions in tickets were studied considering the models of Ekman and VAD. One of the three classification methods created has been adapted to also identify emotions in the tickets. Possible correlations between polarity and emotions were verified through association rules. Results correlate positive tickets with valence and dominance high and low excitation, besides presence of joy and surprise and absence of fear. Negative tickets correlate with valence, neutral excitement and dominance, besides absence of joy and presence of fear. However the results for negative polarity are not accurate.

Submitted by Jorge Silva (jorgelmsilva@ufrrj.br) on 2017-10-30T18:03:06Z No. of bitstreams: 1 2014 - Gustavo C?sar Ar?as de Souza.pdf: 825148 bytes, checksum: 9a82bc5e8c5afb69da1c09582194146e (MD5) / Made available in DSpace on 2017-10-30T18:03:06Z (GMT). No. of bitstreams: 1 2014 - Gustavo C?sar Ar?as de Souza.pdf: 825148 bytes, checksum: 9a82bc5e8c5afb69da1c09582194146e (MD5) Previous issue date: 2014-05-14 / CAPES / This work aims to investigate the nature of the relationship between ?Torcidas Organizadas? and directors of the football?s clubs. F or this an ethnography was produced having as object of analysis the crowd ?Young Flu?, of Fluminense, That ethnography took 1 year to be prepared, in which involved travel , interviews , friendships , dangers and a new vision about football. Football should be seen as a "total social fact", where the concept by Anthropologist Mauss (2003), wich the social are only real if that?s integrate a system. All the meaning of one society are resumed in all: total in the sense that society includes all human phenomena of economic , cultural, political, religious , among others , with no prior hierarchy . Whole, in the sense that the nature of the goods produced by community members is not only material, but particularly symbolic. ?Torcidas Organizadas? are legal institutions, they are legally registered in government, not being clandestine groups. The ?Organizadas? uses symbols as flags, banners, and ?bandeir?es?. Recivieng for free a quota of tickets, Tickets to the hands of the fans become a form of self-financing, a symbolic economy of tickets, we could include in this list as well the social events and activities like travels, where twisted also remunerate, sales material symbols using the free licensed club form. If so show true income profit generating enterprises. Suggesting a market relationship between ?Torcidas Organizadas? and the club boards, this can be understood as informal. Being a member of a ?Torcida Organizada? confers rights, a sense of belonging different from others. Being part of this group creates bonds of solidarity , cooperation and distinction before the other, it is assumed a commitment with face, but in bleachers everyone are welcome to support. / Este trabalho visa investigar a natureza da rela??o entre Torcidas Organizadas e diretoria de clube de futebol. Para tal, foi produzida uma etnografia tendo como objeto de an?lise a torcida Young Flu, do Fluminense. A etnografia foi realizada em cerca de 1 ano no qual acumularam-se viagens, entrevistas, amizades, perigos e uma nova vis?o a respeito do futebol. O futebol deve ser visto como ?um fato social total?, conceito de Mauss (2003), no qual o social s? ? real quando est? integrado a um sistema. Uma totalidade no sentido de que a sociedade inclui todos os fen?menos humanos de natureza econ?mica, cultural, pol?tica, religiosa, entre outros. Totalidade, no sentido de que a natureza desses bens produzidos pelos membros das comunidades n?o ? apenas material, mas, sobretudo, simb?lica. Torcidas Organizadas s?o institui??es legais, com CNPJ, n?o sendo grupos clandestinos. As Organizadas usam s?mbolos, bandeiras, bandeir?es e faixas. Recendo gratuitamente das diretorias uma cota de ingressos, estes que nas m?os das torcidas, tornam-se um instrumento de uma economia simb?lica de ingressos. Esta forma de autofinanciamento engloba tamb?m atividades sociais, como eventos e viagens, al?m da venda de material esportivo com s?mbolos da torcida e do clube (com a licen?a gratuita deste tamb?m). Mostram-se assim, verdadeiras empresas geradoras de lucro. Sugerindo, dessa forma, que existe uma rela??o de mercado compreendida como informal entre as Torcidas Organizadas e as diretorias de clube. Ser membro de Torcida Organizada garante certos direitos e contribui para internalizar um sentimento de pertencimento pelos quais outros n?o passam. Criam-se la?os de solidariedade, de coopera??o e de distin??o perante os demais; assume-se um compromisso com rosto. Contudo, saliento que na arquibancada todos s?o bem-vindos para apoiar.

The main objective of this work was to develop and implement the travel reservation system, which would be easy to use, widely accessible for large amount of users, progressive and works without mistakes. This system would allow users to save time planning job or holiday trip. The project was implemented using PHP and Microsoft SQL. The program performs a lot of functions: booking of tickets, hotels and additional services, travel routes catalog review and personal trip design, edition of the reservations that has been already made. These are only several features from the travel reservation system, which would help to plan holiday or job trip.

Airlines try to maximize revenue by letting prices of tickets vary over time. This fluctuation contains patterns that can be exploited to predict price lows. In this study, we create an algorithm that daily decides whether to buy a certain ticket or wait for the price to go down. For creation and evaluation, we have used data from searches made online for flights on the route Stockholm – New York during 2017 and 2018. The algorithm is based on time series features selected by a decision tree and clearly outperforms the selected benchmarks.

Análise de Sentimentos/Mineração de Opinião é adotada na engenharia de software para questões como usabilidade e sentimentos de desenvolvedores em projetos. Este trabalho propõe métodos para avaliar os sentimentos presentes em tíquetes abertos à área de suporte de TI. Há diversos tipos de tíquetes abertos à TI (e.g. infraestrutura, software), que envolvem erros, incidentes, requisições, etc. O maior desafio é automaticamente distinguir entre a necessidade em si, a qual é intrinsecamente negativa (por exemplo, a descrição de um erro), de um sentimento embutido na descrição. Nossa abordagem automaticamente cria um dicionário de domínio que contém termos que expressam sentimentos no contexto de TI, utilizados para filtrar expressões em um tíquete para análise de sentimentos. Nós criamos e avaliamos três métodos de classificação para calcular a polaridade em tíquetes. Nosso estudo utilizou 34.895 tíquetes de cinco organizações. Para polaridade, 2.333 tíquetes foram selecionados aleatoriamente para compor nosso gold standard. Nossos melhores resultados apresentam uma precisão e revocação de 82,83% e 88,42%, respectivamente, o que supera outras soluções de análise de sentimentos comparadas. De forma complementar, emoções em tíquetes foram estudadas considerando os modelos de Ekman e VAD. Um dos três métodos de classificação criados foi adaptado para também identificar emoções nos tíquetes. Possíveis correlações entre polaridade e emoções foram verificadas via regras de associação. Resultados correlacionam tíquetes positivos com valência e dominância altas e excitação baixa, além de presença de alegria e surpresa e ausência de medo. Tíquetes negativos correlacionam com valência, excitação e dominância neutras, além de ausência de alegria e presença de medo. Contudo os resultados para a polaridade negativa não são precisos. / Sentiment Analysis/Opinion Mining has been adopted in software engineering for problems such as software usability and sentiment of developers in projects. This work proposes methods to evaluate the sentiment contained in tickets for IT (Information Technology) support. IT tickets are broad in coverage (e.g. infrastructure, software), and involve errors, incidents, requests, etc. The main challenge is to automatically distinguish between factual information, which is intrinsically negative (e.g. error description), from the sentiment embedded in the description. Our approach is to automatically create a domain dictionary that contains terms with sentiment in IT context, used to filter terms in tickets for sentiment analysis. We created and evaluate three classification methods for calculating the polarity of terms in tickets. Our study was developed using 34,895 tickets from five organizations. For polarity, we randomly selected 2.333 tickets to compose a gold standard. Our best results display an average precision and recall of 82.83% and 88.42%, respectively, which outperforms the compared sentiment analysis solutions. Complementarily, emotions in tickets were studied considering the models of Ekman and VAD. One of the three classification methods created has been adapted to also identify emotions in the tickets. Possible correlations between polarity and emotions were verified through association rules. Results correlate positive tickets with valence and dominance high and low excitation, besides presence of joy and surprise and absence of fear. Negative tickets correlate with valence, neutral excitement and dominance, besides absence of joy and presence of fear. However the results for negative polarity are not accurate.

Análise de Sentimentos/Mineração de Opinião é adotada na engenharia de software para questões como usabilidade e sentimentos de desenvolvedores em projetos. Este trabalho propõe métodos para avaliar os sentimentos presentes em tíquetes abertos à área de suporte de TI. Há diversos tipos de tíquetes abertos à TI (e.g. infraestrutura, software), que envolvem erros, incidentes, requisições, etc. O maior desafio é automaticamente distinguir entre a necessidade em si, a qual é intrinsecamente negativa (por exemplo, a descrição de um erro), de um sentimento embutido na descrição. Nossa abordagem automaticamente cria um dicionário de domínio que contém termos que expressam sentimentos no contexto de TI, utilizados para filtrar expressões em um tíquete para análise de sentimentos. Nós criamos e avaliamos três métodos de classificação para calcular a polaridade em tíquetes. Nosso estudo utilizou 34.895 tíquetes de cinco organizações. Para polaridade, 2.333 tíquetes foram selecionados aleatoriamente para compor nosso gold standard. Nossos melhores resultados apresentam uma precisão e revocação de 82,83% e 88,42%, respectivamente, o que supera outras soluções de análise de sentimentos comparadas. De forma complementar, emoções em tíquetes foram estudadas considerando os modelos de Ekman e VAD. Um dos três métodos de classificação criados foi adaptado para também identificar emoções nos tíquetes. Possíveis correlações entre polaridade e emoções foram verificadas via regras de associação. Resultados correlacionam tíquetes positivos com valência e dominância altas e excitação baixa, além de presença de alegria e surpresa e ausência de medo. Tíquetes negativos correlacionam com valência, excitação e dominância neutras, além de ausência de alegria e presença de medo. Contudo os resultados para a polaridade negativa não são precisos. / Sentiment Analysis/Opinion Mining has been adopted in software engineering for problems such as software usability and sentiment of developers in projects. This work proposes methods to evaluate the sentiment contained in tickets for IT (Information Technology) support. IT tickets are broad in coverage (e.g. infrastructure, software), and involve errors, incidents, requests, etc. The main challenge is to automatically distinguish between factual information, which is intrinsically negative (e.g. error description), from the sentiment embedded in the description. Our approach is to automatically create a domain dictionary that contains terms with sentiment in IT context, used to filter terms in tickets for sentiment analysis. We created and evaluate three classification methods for calculating the polarity of terms in tickets. Our study was developed using 34,895 tickets from five organizations. For polarity, we randomly selected 2.333 tickets to compose a gold standard. Our best results display an average precision and recall of 82.83% and 88.42%, respectively, which outperforms the compared sentiment analysis solutions. Complementarily, emotions in tickets were studied considering the models of Ekman and VAD. One of the three classification methods created has been adapted to also identify emotions in the tickets. Possible correlations between polarity and emotions were verified through association rules. Results correlate positive tickets with valence and dominance high and low excitation, besides presence of joy and surprise and absence of fear. Negative tickets correlate with valence, neutral excitement and dominance, besides absence of joy and presence of fear. However the results for negative polarity are not accurate.

Management thinking has changed focus from bringing in new customers to under- standing the significance of maintaining existing customers and the need to attain loyalty with these customers. This has increased the importance of keeping good customer relationships. One important element to attain good customer relations is through a solid customer support. In this thesis a customer support approach for a software consultancy company has been implemented. The goal was to create a SharePoint Online application that would work as a single point of contact for the customers to improve the issue resolution process. Requirements elicitation was done through five customer interviews to obtain opinions and needs. Moreover, based on the customer requirements a workshop were held with developers from the consultancy firm to design a workflow proto- type. The final result is a customer-centered process that takes reported issues and manages the tickets through the issue life cycle until the issue is resolved. The approaches relies heavily on light-weight feedback in terms of mail notifications, reminders, and automatic assignment of tasks. The new process was developed in SharePoint Online and implemented using SharePoint Designer.

TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. The goal of this research work is to present an ML-based solution that predicts the Resolution Times (RTs) of the TV cases in each TV delivery service type, therefore how long the cases will take to be solved. The approach taken to provide meaningful results consisted in utilizing four Machine Learning (ML) algorithms to create 480 models for each of the two scenarios. The results revealed that Random Forest (RF) and, specially, Gradient Boosting Machine (GBM) performed exceptionally well. Surprisingly, hyperparameter tuning didn’t significantly improve the RT as expected. Some challenges included the initial data preprocessing and some uncertainty in hyperparameter tuning approaches. Thanks to these predicted times, the company is now able to better inform their costumers on how long the problem is expected to last until is resolved. This real case scenario also considers how the company processes the available data and manages the problem. The research work consists in, first, a literature review on the prediction of RT of Trouble Ticket (TT) and customer churn in telecommunication companies, as well as the study of the company’s available data for the problem. Later, the research focuses in analysing the provided dataset for the experimentation, the preprocessing of the this data according to the industry standards and, finally, the predictions and analysis of the obtained performance metrics. The proposed solution is designed to offer an improved resolution for the company’s specified task. Future work could involve increasing the number of TV cases per service for improving the results and exploring the link between resolution times and customer churn decisions. / TV-distribution och leverans av strömningsinnehåll via internet består av komplexa nätverk, inklusive CDNs, kablar och slutanvändarutrustning. Detta gör det känsligt för problem på olika nätverksnivåer som kan påverka slutkundens TV-tjänster. När ett problem påverkar kunden och hindrar en korrekt TV-leveranstjänst rapporteras det genom ett samtal. Ett ärende öppnas, och företagets kundhanteringsagenter övervakar det för att lösa problemet så snabbt som möjligt. Målet med detta forskningsarbete är att presentera en maskininlärningsbaserad lösning som förutsäger löstiderna (RTs) för TV-ärenden inom varje TV-leveranstjänsttyp, det vill säga hur lång tid ärendena kommer att ta att lösa. För att få meningsfulla resultat användes fyra maskininlärningsalgoritmer för att skapa 480 modeller för var och en av de två scenarierna. Resultaten visade att Random Forest (RF) och framför allt Gradient Boosting Machine (GBM) presterade exceptionellt bra. Överraskande nog förbättrade inte finjusteringen av hyperparametrar RT som förväntat. Vissa utmaningar inkluderade den initiala dataförbehandlingen och osäkerhet i metoder för hyperparametertuning. Tack vare dessa förutsagda tider kan företaget nu bättre informera sina kunder om hur länge problemet förväntas vara olöst. Denna verkliga fallstudie tar också hänsyn till hur företaget hanterar tillgängliga data och problemet. Forskningsarbetet börjar med en litteraturgenomgång om förutsägelse av RT för Trouble Ticket (TT) och kundavhopp inom telekommunikationsföretag samt studier av företagets tillgängliga data för problemet. Därefter fokuserar forskningen på att analysera den tillhandahållna datamängden för experiment, förbehandling av datan enligt branschstandarder och till sist förutsägelser och analys av de erhållna prestandamätvärdena. Den föreslagna lösningen är utformad för att erbjuda en förbättrad lösning för företagets angivna uppgift. Framtida arbete kan innebära att öka antalet TV-ärenden per tjänst för att förbättra resultaten och utforska sambandet mellan löstider och kundavhoppbeslut.

Η εποχή της παγκοσμιοποίησης και του ψηφιακού κόσμου έχει δημιουργήσει ένα νέο είδος κοινωνίας της πληροφορίας και οικονομίας βασισμένης στη γνώση, τα οποία αλλάζουν την ανθρώπινη συμπεριφορά. Αυτό επιδρά σε πολλούς τομείς όπως στην πολιτική, στα οικονομικά και στην κοινωνία. Η τεχνολογία της πληροφορίας και της επικοινωνίας (Information and Communication Technology, ICT), θεωρείται ένα πανίσχυρο εργαλείο που παίζει βασικό ρόλο σ’ αυτές τις αλλαγές. Παρέχει έναν εναλλακτικό τρόπο επικοινωνίας μεταξύ κυβέρνησης και πολιτών μέσω ηλεκτρονικών υπηρεσιών. Αυτές οι υπηρεσίες μπορούν να οδηγήσουν στη διαφάνεια της κυβερνητικής διαχείρισης στο δημοκρατικό κόσμο. Ο όρος Ηλεκτρονική Διακυβέρνηση (Electronic Government, επίσης γνωστός και ως e-gov) αναφέρεται στη χρήση των τεχνολογιών της πληροφορικής και των υπολογιστών ως πλατφόρμα για την ανταλλαγή πληροφοριών, παροχή υπηρεσιών και πραγματοποίηση συναλλαγών με πολίτες, επιχειρήσεις και άλλα σκέλη της κυβέρνησης. Επίσης, η ευρεία χρήση του Διαδικτύου έχει οδηγήσει στην ανάδειξη μιας ποικιλίας ηλεκτρονικών υπηρεσιών, γνωστών ως “e-services”. Τα Ηλεκτρονικά Εισιτήρια, ή αλλιώς “e-Tickets”, αποτελούν παράδειγμα ηλεκτρονικών υπηρεσιών. Γενικά μιλώντας, τα ηλεκτρονικά εισιτήρια είναι αντίστοιχα με τα έντυπα εισιτήρια και αποδεικνύουν ότι ο κάτοχός τους έχει πληρώσει ή δικαιούται μια υπηρεσία, όπως παραδείγματος χάριν είσοδο σε μέρος διασκέδασης, αναβάθμιση λογισμικού μέσω internet, χρήση κάποιου μέσου μαζικής μεταφοράς. Τα έντυπα και τα ηλεκτρονικά εισιτήρια εμφανίζονται επίσης σε συστήματα διαχείρισης ροής πελατών για ιδιωτικούς ή δημόσιους οργανισμούς και επιχειρήσεις που αντιμετωπίζουν το πρόβλημα των μεγάλων ουρών και χρόνων αναμονής. Τέτοιες περιπτώσεις είναι τράπεζες, φαρμακεία, ταχυδρομεία, νοσοκομεία, εμπορικά κέντρα, αστυνομικές υπηρεσίες και υπηρεσίες ευρέσεως εργασίας. Στις περιπτώσεις αυτές, ο πελάτης εισέρχεται στο χώρο υποδοχής, λαμβάνει ένα εισιτήριο και μπαίνει σε μια ουρά αναμονής μέχρι να έρθει η ώρα εξυπηρέτησής του οπότε και ειδοποιείται να προσέλθει στο χώρο εξυπηρέτησης. Τα συστήματα αυτά, παρά τα πλεονεκτήματα που έχουν, παρουσιάζουν κάποιες ελλείψεις οι οποίες μπορούν να συνοψιστούν στις εξής: Ο πελάτης πρέπει να προσέλθει στο χώρο υποδοχής για να λάβει το εισιτήριο, δεν υπάρχει δηλαδή κάποιο σύστημα παραγωγής ηλεκτρονικών εισιτηρίων ώστε ο πελάτης να λαμβάνει ηλεκτρονικά εισιτήρια πριν μεταβεί στους χώρους του οργανισμού ή της επιχείρησης. Επίσης, ο πελάτης πρέπει να περιμένει μέχρι να εξυπηρετηθεί στους χώρους αναμονής του οργανισμού ή της επιχείρησης μιας και δεν υπάρχει σύστημα με το οποίο να ενημερώνεται όποια στιγμή το θελήσει για τον ανανεωμένο χρόνο αναμονής του. Στον τομέα των τραπεζών, οι τραπεζικοί οργανισμοί παρέχουν ένα ευρύ σύνολο ηλεκτρονικών υπηρεσιών που περιλαμβάνουν διαδικτυακές υπηρεσίες και υπηρεσίες μέσω κινητών συσκευών και αφορούν οικονομικές συναλλαγές και υπηρεσίες πληροφόρησης. Στις ηλεκτρονικές υπηρεσίες τους δεν περιλαμβάνονται ωστόσο υπηρεσίες για ηλεκτρονική κράτηση θέσης, μέσω ηλεκτρονικών εισιτηρίων, στις ουρές αναμονής των υποκαταστημάτων τους, για τους πελάτες που θέλουν να εξυπηρετηθούν με αυτόν τον τρόπο. Επίσης δεν υπάρχουν υπηρεσίες που να ενημερώνουν τον κάτοχο ενός ηλεκτρονικού εισιτηρίου όποια στιγμή το θελήσει για τον ανανεωμένο χρόνο αναμονής του. Στα πλαίσια της παρούσας διπλωματικής εργασίας, αναπτύχθηκε ένα ολοκληρωμένο σύστημα εφαρμογών για παραγωγή και εξυπηρέτηση Ηλεκτρονικών Εισιτηρίων. Το ηλεκτρονικό αυτό σύστημα επιτρέπει τη δημιουργία ηλεκτρονικών εισιτηρίων αναμονής και την εξυπηρέτηση των κατόχων τους σε ένα σύστημα εικονικών τραπεζών. Βασικές λειτουργίες του συστήματος είναι η δυνατότητα που δίνει στους χρήστες να αιτούνται ηλεκτρονικά εισιτήρια πριν μεταβούν στους χώρους εξυπηρέτησης μέσω διαδικτυακών εφαρμογών και εφαρμογών για φορητές συσκευές χειρός, όπως επίσης και η δυνατότητα που δίνει στους κατόχους των ηλεκτρονικών εισιτηρίων να ενημερώνονται οποιαδήποτε στιγμή θελήσουν, για τον τρέχοντα χρόνο αναμονής που αντιστοιχεί στο εισιτήριό τους. Το σύστημα αυτό αποτελεί μια από τις πρώτες προσπάθειες όχι μόνο στον τομέα των τραπεζικών οργανισμών αλλά στον ευρύτερο τομέα διαχείρισης ηλεκτρονικών εισιτηρίων για ουρές αναμονής. Η δομή της παρούσας διπλωματικής εργασίας έχει ως εξής: Στο πρώτο κεφάλαιο γίνεται μια εισαγωγή και παρουσίαση της έννοιας της Ηλεκτρονικής Διακυβέρνησης και των διαστάσεών της. Στο δεύτερο κεφάλαιο γίνεται εκτενής αναφορά στις πολιτικές που εφαρμόζονται σε εθνικό και ευρωπαϊκό επίπεδο για την Ηλεκτρονική Διακυβέρνηση. Σε ευρωπαϊκό επίπεδο γίνεται αναφορά στη στρατηγική i2010 και στην πρωτοβουλία e-Europe, ενώ σε εθνικό επίπεδο παρουσιάζεται το πρόγραμμα της Κοινωνίας της Πληροφορίας και η αναπτυξιακή στρατηγική της χώρας μας για το διάστημα 2007 – 2013. Στο κεφάλαιο αυτό παρουσιάζονται και κάποια παραδείγματα από το διεθνή χώρο, βέλτιστων πρακτικών Ηλεκτρονικής Διακυβέρνησης. Στο τρίτο κεφάλαιο δίνεται έμφαση στην κατάσταση που επικρατεί στη χώρα μας σχετικά με την Ηλεκτρονική Διακυβέρνηση. Παρουσιάζεται το «Ελληνικό Πλαίσιο Παροχής Υπηρεσιών Ηλεκτρονικής Διακυβέρνησης και Πρότυπα Διαλειτουργικότητας» και συγκεκριμένα η αρχιτεκτονική του πλαισίου και τα συστατικά του μέρη, καθώς και η έκθεση του World Economic Forum 2007 – 2008. Στο τέταρτο κεφάλαιο γίνεται παρουσίαση της έννοιας των Ηλεκτρονικών Εισιτηρίων και των τομέων εφαρμογής τους. Πιο αναλυτικά παρουσιάζεται ο τομέας εφαρμογής που αφορά στη διαχείριση της ροής των πελατών, με παρουσίαση των δυο πιο γνωστών συστημάτων διεθνώς. Στη συνέχεια γίνεται αναφορά στις υπηρεσίες που παρέχουν σήμερα οι τραπεζικοί οργανισμοί και δίνεται έμφαση στις κατηγορίες ηλεκτρονικών υπηρεσιών, οι οποίες και παρουσιάζονται αναλυτικά. Στο τέλος του κεφαλαίου περιγράφεται η σημερινή κατάσταση στην Ελλάδα στον τομέα των ηλεκτρονικών τραπεζικών συναλλαγών. Στο πέμπτο κεφάλαιο παρουσιάζεται το Ολοκληρωμένο Σύστημα Εφαρμογών για Παραγωγή και Εξυπηρέτηση Ηλεκτρονικών Εισιτηρίων που υλοποιήθηκε στα πλαίσια της παρούσας διπλωματικής εργασίας. Πιο αναλυτικά, παρουσιάζεται η αρχιτεκτονική του συστήματος και τα συστατικά του μέρη: η Βάση Δεδομένων, οι Μηχανισμοί Υπολογισμού Μέσου Χρόνου Αναμονής και Μέσου Χρόνου Εξυπηρέτησης, ο Διαδικτυακός Τόπος, η Τοπική Εφαρμογή PDA, οι Διαδικτυακές Υπηρεσίες εξυπηρέτησης αιτήσεων Διαδικτυακού Τόπου και Τοπικής Εφαρμογής PDA, η Τοπική Εφαρμογή Προσομοίωσης Τραπεζών και η Διαδικτυακή Υπηρεσία εξυπηρέτησης αιτήσεων Τοπικής Εφαρμογής Προσομοίωσης Τραπεζών. Τέλος γίνεται μια σύνοψη των πλεονεκτημάτων του συστήματος και παρουσιάζονται προτάσεις μελλοντικής βελτίωσης. Στο έκτο κεφάλαιο παρουσιάζονται οι τεχνολογίες που χρησιμοποιήθηκαν για την ανάπτυξη του Ολοκληρωμένου Συστήματος Εφαρμογών για Παραγωγή και Εξυπηρέτηση Ηλεκτρονικών Εισιτηρίων. Στο έβδομο κεφάλαιο παρουσιάζεται η βιβλιογραφία στην οποία βασίστηκε η συγγραφή της διπλωματικής εργασίας. / The era of globalization or digital world has created a new kind of information society and knowledge-based economy, which change our human behavior. This has effects on many aspects such as politics, economic, and society. Information and Communication Technology (ICT) is claimed as the powerful tool which plays an important role on those changes. It provides an alternative channel for government and citizens’ communication of new services, e.g. providing information source, collaboration between stakeholders. Such e-Services could lead to transparency of government administration in democracy world. The term Electronic Government (e-Government) refers to the use of information and communication technology to provide and improve government services, transactions and interactions with citizens, businesses, and other arms of government. The widespread use of Internet has recently led to the emergence of a variety of electronic services, also known as “e-services”. Electronic tickets, or e-tickets, are an example of such a class of e-services. Generally speaking, e-tickets are the Internet counterpart of real-world tickets, and give evidence that the holder has paid or is entitled to some service (e.g., entering a place of entertainment, upgrading a software from the Internet). Paper and Electronic Tickets also appear in customer flow management systems for private and public organizations or enterprises, which face the problem of big queues and waiting times. Such cases include banks, pharmacies, post offices, hospitals, shopping malls, police stations, employment services. In these cases, customers enter the reception area, get a ticket and enter a waiting queue until their time to be served arrives. That time, they are informed to enter the service area. These systems, despite their advantages, have a few deficiencies which are summarized below: Customers have to enter the reception area in order to get a ticket. There exists no electronic tickets production system for customers to receive e-tickets before they arrive at the building. Moreover, customers have to wait somewhere in the facilities of the organization or enterprise until they will be served, as there exists no system to inform them whenever they want about their refreshed waiting time. In regard of the banks sector, bank organizations provide a wide variety of e-services which include internet services and services for mobile devices. These services involve financial transactions and information services. However, banks e-services don’t include services for electronic reservations in waiting queues using e-tickets, for customers who want to be served in bank branches. Moreover, banks e-services don’t include services with which e-ticket holders can be informed whenever they want about their refreshed waiting time. In this thesis, an Applications Integrated System for Creating and Servicing e-Tickets was developed. The integrated system allows e-tickets creation and their holders’ service from a set of virtual banks. The system’s basic functionality includes e-tickets creation, via internet applications and applications for mobile devices, before customers reach the servicing area, as well as informing e-ticket holders, whenever they want, about their refreshed waiting time. The integrated system constitutes one of the first attempts, not only in the bank organizations sector, but in the wider sector of managing e-tickets for waiting queues. The thesis structure is organized as follows: The first chapter introduces and presents the concept of e-Government and its aspects. The second chapter includes a comprehensive reference to the European and National policies for e-Government. The European policies include the strategy i2010 and the e-Europe initiative, while the national policies include the Operational Program of Information Society and developmental strategy for years 2007 – 2013. This chapter also includes best practices of e-Government in the international arena. The third chapter revolves around the current situation in our country regarding e-Government. The “Greek Framework for e-Government Services Provision and Interoperability Templates” is presented and distinctly, the architecture and the various components of the framework, as well as the exhibition of the World Economic Forum 2007-2008. The fourth chapter presents the concept of e-ticket and its application domain. Namely, the application sector concerning customer flow management is described, followed by the two most important systems worldwide. Next, the services provided by banks are reported, laying emphasis on the categories of e-services, which are presented thoroughly. In the end of the chapter, the current status in the domain of electronic bank transactions in Greece is presented. The fifth chapter presents the Integrated System for Creating and Servicing e-Tickets which was developed for this thesis. More explicitly, the chapter presents the system architecture and all of its components: the Database, the Mean Waiting Time and Servicing Time Computing Mechanisms, the Web Site, the PDA Local Application, the Web Services for servicing requests made by the Web Site and the PDA Local Application, the Banks Simulation Local Application, the Web Service for servicing requests made by the Banks Simulation Local Application. In the end, the chapter summarizes the Integrated System’s advantages and presents proposals for future improvements. The sixth chapter presents the technologies being used for the development of the Integrated System for Creating and Servicing e-Tickets. The seventh chapter presents the bibliography in which the composition of this thesis was based.

Att vänta i kö är något som de flesta människor inte tycker om, speciellt långa köer där väntan drar ut på tiden. I ett försök att minska väntetiden för kunder har företag börjat utveckla nya typer av köhanteringssystem vilka stödjer smartphonebaserade nummerlappar. Företagen erbjuder smartphonebaserade nummerlappar på olika sätt; antigen via sms eller en mobilapp. De smartphonebaserade nummerlapparna ger användarna, i tillägg till den vanliga funktionalitet som traditionella köhanteringssystem har, möjlighet att bland annat få uppdateringar om kön, ansluta sig till en kö utan att fysiskt vara på plats och att informera systemet om att de lämnar kön.Syftet med studien var att undersöka om smartphonebaserade nummerlappar påverkar kundernas kundnöjdhet jämfört med traditionella system. Det ansågs finnas ett behov av att undersöka detta eftersom köhanteringssystem som stödjer smartphonebaserade nummerlappar är relativt nya och att det inte har påträffats någon forskning som undersöker de mobila nummerlapparnas påverkan på kundnöjdheten. Den fråga som ställdes var: Påverkar en smartphonebaserad nummerlappsapp kundens kundnöjdhet i förhållande till ett traditionellt system?Studien använde en experimentell strategi för att besvara frågeställningen. Ett fältexperiment genomfördes i studentexpeditionen vid Högskolan i Borås där besökarna fick välja en mobilnummerlappsapp eller en pappersnummerlapp. Efter att besökarens betjäntas i kassan erbjöds denne att besvara en enkät om kundnöjdhet. Resultaten från enkäten användes för att beräkna en kundnöjdhetspoäng för respektive respondent och för att jämföra svaren från grupperna med olika nummerlappstyper. Även gruppernas medelkundnöjdhetspoäng beräknades och jämfördes med hjälp av independent samples t-test.Resultaten i studien visade att appanvändarna var signifikant mer nöjda än pappersanvändarna i den totala jämförelsen. För de enskilda frågorna visade resultatet att kundnöjdheten i vissa fall påverkades positiv men även att kundnöjdheten i vissa fall inte påverkades alls. Slutsatsen som drogs var att en smartphonebaserade nummerlappsapp påverkar kundnöjdheten positivt i förhållande till traditionella system. / Waiting in lines is something that most people do not like, especially waiting in long queues where the waiting drags on. In an attempt to reduce the waiting time for customers companies have begun to develop new types of queue management systems which support smartphone based queue tickets. The companies offer the smartphone based queue tickets in different ways, either by SMS or a mobile application. In addition to the usual functionality that traditional queue management systems offers the smartphone-based queue tickets provide users, with the ability to receive updates about the queue, connect to a queue without being physically on the site and inform the system that they left the queue.The purpose of this study was to investigate if smartphone based queue tickets affect the customer satisfaction compared to traditional systems. There was a need for such an investigation because the queue management system that support smartphone based queue tickets are relatively new and no research which examines the affect that smartphone based queue tickets has on customer satisfaction could be found. The question asked was: Does a smartphone based queue ticket application affect the customer satisfaction of the customer compared to a traditional system?The study used an experimental approach to answer the question. A field experiment was conducted in the student office at the University in Borås were the visitors could choose either a mobile application or a paper queue ticket. When the visitors’ had been served they were asked to answer a questionnaire about customer satisfaction. The results from the survey were used to calculate a customer satisfaction scores for each respondent and to compare the responses of the groups with different queue ticket types. The mean of the customer satisfaction scores of each group were also calculated and compared using independent samples t-test.The results of the study showed that the users of mobile application queue tickets were significantly more satisfied than those who used paper queue tickets. The results of the individual questions showed that for some questions the customer satisfaction were positively affected but for other questions the customer satisfaction were not affected. The overall conclusion was that a smartphone based queue ticket application affects the customer satisfaction positively compared to a traditional queue management system.