With the emergence of a new service delivery model, Software-as-a-Service (SaaS), interest in quality management in the planning and operation of SaaS systems is increasing significantly. Most current quality management approaches for SaaS focus primarily on the perspective of service provider. They largely ignore the perspective of service customer as well as the nature of ongoing business relationship between the service provider and customer. Based on an extensive exploration of this relationship, the thesis research makes contributions in the following four areas: 1. A theory of SaaS business relationships is introduced by integrating an adapted quality paradigm with the notion of value co-creation (co-value) for the service provider and customer. In the theory, we define a specification of four quality-based service types (Ad-hoc, Defined, Managed and Strategic). 2. The theory is used as the foundation for building a model that assists service customers in SaaS evaluation in support of service planning and ongoing operations. 3. Based on the model, an evaluation tool is designed and used in a particular service area. As an example, a case study is undertaken to assist the decision making of email service adoption in the University of Alberta. 4. Two surveys are conducted to assist in the building and evolution of the evaluation model, as well as in the use of an email service evaluation tool.

This research is based on marketing theory by utilizing content analysis. By the indepth interview and questionnaire in two dimensions of international hostel managers and dwellers in cross straits, using qualitied and quantified statistical tools, trying to comprehend the tendency of development of international youth hostels and predicting the future developments and directions. Besides, the measured standard of quality service and 8P of marketing mix examine nowadays managing situations of international youth hostels between cross straits, trying to find the diverseness of development as the basis of a comparision of cross straits, building informational cross-platform to reach bright future. The results of this research are not only beneficial to the managers of international youth hostels in Taiwan to understand the lack of management skills in developing international hostels in China, but helpful to investors from Taiwan. Furthermore, by analyzing the data of this research, the future development and service of the international youth hostels between cross straits pursue for high-quality management strategy. Facing to the economic hotels put premium on the competitive advantages of service quality, it is bound to improve the service quality. And by the pricing strategy, all the managers of international youth hostels of cross straits desire to attract customers by low pricing. This research provides those managers in the budding stage industries, and developes directions to achieve the vision of international hostels between cross straits.

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O tema central desta tese são as razões para a ocorrência dos gaps de gestão da qualidade de serviço. O objetivo é analisar, com base no modelo estendido de qualidade de serviço, as razões para essa ocorrência. Para tanto, realizou-se um estudo exploratório em duas etapas. Na primeira, foi feita uma revisão da literatura relativa ao tema; na segunda, uma pesquisa de campo para se analisarem as razões para a ocorrência dos gaps de gestão da qualidade de serviço numa organização de transporte metroviário. Os resultados mostram que esta tese contribui para o avanço do estado da arte acerca do tema, tanto pelo fato de somar-se aos poucos trabalhos acadêmicos que lhe têm dado atenção, quanto pela identificação de novos elementos relativos ao tema que não foram discutidos por outros pesquisadores. Como parte das considerações finais, apontam-se novas oportunidades de pesquisas para aqueles que se interessam pela qualidade de serviço e pela análise dos gaps de gestão da qualidade de serviço. / The aim of this thesis are the reasons for the service quality management gaps occurrence. The purpose of this work is to analyze, based on the extended service quality model, the reasons for the occurrence of these gaps. To achieve this purpose, a two-stage exploratory study was conducted. In the first stage, a bibliographic review was made. In the second one, a field research was conducted in order to analyze the reasons for the occurrence of the service quality management gaps in a subway system service provider. The results show that this thesis brings a contribution to the advancement of the literature because it adds to a few academic studies that have given attention to the subject, and identifies new elements pertaining to the subject that have not been discussed by other researchers. As part of the conclusion section, new research opportunities are offered to those who are interested in service quality and in the analysis of the service quality management gaps.

O tema central desta tese são as razões para a ocorrência dos gaps de gestão da qualidade de serviço. O objetivo é analisar, com base no modelo estendido de qualidade de serviço, as razões para essa ocorrência. Para tanto, realizou-se um estudo exploratório em duas etapas. Na primeira, foi feita uma revisão da literatura relativa ao tema; na segunda, uma pesquisa de campo para se analisarem as razões para a ocorrência dos gaps de gestão da qualidade de serviço numa organização de transporte metroviário. Os resultados mostram que esta tese contribui para o avanço do estado da arte acerca do tema, tanto pelo fato de somar-se aos poucos trabalhos acadêmicos que lhe têm dado atenção, quanto pela identificação de novos elementos relativos ao tema que não foram discutidos por outros pesquisadores. Como parte das considerações finais, apontam-se novas oportunidades de pesquisas para aqueles que se interessam pela qualidade de serviço e pela análise dos gaps de gestão da qualidade de serviço. / The aim of this thesis are the reasons for the service quality management gaps occurrence. The purpose of this work is to analyze, based on the extended service quality model, the reasons for the occurrence of these gaps. To achieve this purpose, a two-stage exploratory study was conducted. In the first stage, a bibliographic review was made. In the second one, a field research was conducted in order to analyze the reasons for the occurrence of the service quality management gaps in a subway system service provider. The results show that this thesis brings a contribution to the advancement of the literature because it adds to a few academic studies that have given attention to the subject, and identifies new elements pertaining to the subject that have not been discussed by other researchers. As part of the conclusion section, new research opportunities are offered to those who are interested in service quality and in the analysis of the service quality management gaps.

The industry of our country has turned to the Hi-Tech industry gradually, the competition among the same industry is fiercer and fiercer, different properties of industries move towards the road of the heterogeneous alliance gradually too. Under this rival environment, without doing out of the common being, the ability that will lose key competition soon withdraws , the management of making the respect is an indispensable ring too, because management is not good, even more advanced technology may be unable to consolidate enterprises in the position of the environment now. Service Quality Management (SQM) is a kind of management idea that can be suitable for various trades, the service pointed herein refers to various functions that all industries offer in general. This research will canvass the concept of Service Quality Management, use in our country the semiconductor assembly factory of Manufacturing Execution System (MES), embed Preventive Maintenance and Productivity Maintenance Systematic association, in order to reach the different property systems, carry on discussion and analysis. The systems of two kinds of different ways, build the system which forms different management styles by way of simulation, and use Arena simulation software to simulation and analysis under different situation, and canvass its own benefits. The results can be regarded as the manufacturing industry reference basis while construct a Manufacturing Execution System into or revised.

This study assesses tourism policy and service quality management in business and conference tourism in the Kingdom of Saudi Arabia (KSA), examining the capacity of KSA to become an international business conference tourism destination. It considers the factors that could favour or hinder the expansion of the conference industry in (KSA), Research was conducted through mixed methods, the fact that qualitative and quantitative designs complement each other - each covering for the weakness of the other including original data drawn from interviews and questionnaires. The target respondents are officials from the Saudi Exhibition and Convention Bureau, which is the government organisation responsible for conferences, drawn from the public sector, and staff and managers of tourism companies drawn from the private sector. Understanding these factors is vital to enable stakeholders to address the opportunities and challenges that may emerge. Substantial analysis of the interviews and questionnaires brings out both important recurring themes and specific detail. The personal views of the participants reflect optimism for the sector's current performance and its prospects in the future. The participants also noted that the continuous increase of the sector's performance in KSA has been secured mostly due to the government's support. It demonstrated that there are several positive factors about KSA that may promote a thriving conference tourism sector. This is contrary to the expectations that global issues such as terrorism, and the negative images they have painted of the Arab world from the Western perspective, which have increased safety concerns for delegates visiting KSA. A further objective was to analyse the quality of service and its effects on business conference tourism in (KSA). This facilitates the rating of the current condition of facilities used in conference tourism, as well as the status of supporting industries such as hospitality. Respondents in this context include external delegates who use these services and can give a first-hand account of their experiences. From these responses, it was established that that a large percentage of external delegates preferred staying in 4- and 5-star hotels. The fact that these hotels were available for these delegates meant that the hospitality industry in KSA is large enough to accommodate conferences and also that the level of customer satisfaction that they offer is relatively high. A further objective was to explore the social and political feasibility of KSA developing as a business conference tourism destination. This objective was addressed using the responses of internal conference delegates to evaluate how the social and political characteristics and perceptions of KSA may influence the future conditions of conference tourism in the country. The data gathered shows that there is a close relationship between social and political factors, and the performance of business and conference tourism in KSA. Several elements of the social and political environment have a bearing, not only tourism but also on other sectors in the country One of these is infrastructure; with appropriate infrastructure, which can only be attained with responsible political planning, the running of many industries will be smooth. This study has established that KSA has the infrastructural capability for hosting international conferences, and its organizational capabilities are good. The themes uncovered have pointed out that the Saudi tradition is significant in the development of Saudi Arabia as a business and conference tourism destination. Culture has been shown to be significant determinant of the sector. It is thus important to consider the cultural attributes that act as obstacles to KSA gaining a position as a business and conference tourism destination, while also noting that the themes have pointed out that several socio-political challenges surround the development of Saudi Arabia as a business and conference tourism destination.

Master's dissertationis devoted to the development of management approach to improving the quality of educational services in municipal preschool institutions of the Nevyansk city district. The dissertation presents: the results of theoretical analysis of the concept of quality of educational services of preschool institutions as a type of municipal services; the results of the analysis of the legal framework of quality management of educational services in preschool. In the dissertation the existing management approaches to ensuring the quality of educational services in municipal preschool institutions of the Nevyansk city district are studied; the assessment of the quality of educational services of preschool institutions of the Nevyansk city district is given; a social project to improve the quality of educational services in preschool institutions of the Nevyansk city district is developed. / Магистерская диссертация посвящена разработке управленческого подхода к повышению качества образовательных услуг в муниципальных дошкольных учреждениях Невьянского городского округа. В диссертации представлены результаты теоретического анализа понятия качества образовательных услуг дошкольного учреждения как вида муниципальной услуги; осуществлен анализ нормативно-правовых основ управления качеством образовательных услуг в дошкольном учреждении; изучены сложившиеся управленческие подходы к обеспечению качества образовательных услуг в муниципальных дошкольных учреждениях Невьянского городского округа; дана оценка качества образовательных услуг дошкольных учреждений Невьянского городского округа; разработан социальный проект по повышению качества образовательных услуг в дошкольных учреждениях Невьянского городского округа.

This research study focuses on the application models of Data Mining and Machine Learning covering cellular network traffic, in the objective to arm Mobile Network Operators with full view of performance branches (Services, Device, Subscribers). The purpose is to optimize and minimize the time to detect service and subscriber patterns behaviour. Different data mining techniques and predictive algorithms have been applied on real cellular network datasets to uncover different data usage patterns using specific Key Performance Indicators (KPIs) and Key Quality Indicators (KQI). The following tools will be used to develop the concept: RStudio for Machine Learning and process visualization, Apache Spark, SparkSQL for data and big data processing and clicData for service Visualization. Two use cases have been studied during this research. In the first study, the process of Data and predictive Analytics are fully applied in the field of Telecommunications to efficiently address users’ experience, in the goal of increasing customer loyalty and decreasing churn or customer attrition. Using real cellular network transactions, prediction analytics are used to predict customers who are likely to churn, which can result in revenue loss. Prediction algorithms and models including Classification Tree, Random Forest, Neural Networks and Gradient boosting have been used with an exploratory Data Analysis, determining relationship between predicting variables. The data is segmented in to two, a training set to train the model and a testing set to test the model. The evaluation of the best performing model is based on the prediction accuracy, sensitivity, specificity and the Confusion Matrix on the test set. The second use case analyses Service Quality Management using modern data mining techniques and the advantages of in-memory big data processing with Apache Spark and SparkSQL to save cost on tool investment; thus, a low-cost Service Quality Management model is proposed and analyzed. With increase in Smart phone adoption, access to mobile internet services, applications such as streaming, interactive chats require a certain service level to ensure customer satisfaction. As a result, an SQM framework is developed with Service Quality Index (SQI) and Key Performance Index (KPI). The research concludes with recommendations and future studies around modern technology applications in Telecommunications including Internet of Things (IoT), Cloud and recommender systems. / Cellular networks have evolved and are still evolving, from traditional GSM (Global System for Mobile Communication) Circuit switched which only supported voice services and extremely low data rate, to LTE all Packet networks accommodating high speed data used for various service applications such as video streaming, video conferencing, heavy torrent download; and for say in a near future the roll-out of the Fifth generation (5G) cellular networks, intended to support complex technologies such as IoT (Internet of Things), High Definition video streaming and projected to cater massive amount of data. With high demand on network services and easy access to mobile phones, billions of transactions are performed by subscribers. The transactions appear in the form of SMSs, Handovers, voice calls, web browsing activities, video and audio streaming, heavy downloads and uploads. Nevertheless, the stormy growth in data traffic and the high requirements of new services introduce bigger challenges to Mobile Network Operators (NMOs) in analysing the big data traffic flowing in the network. Therefore, Quality of Service (QoS) and Quality of Experience (QoE) turn in to a challenge. Inefficiency in mining, analysing data and applying predictive intelligence on network traffic can produce high rate of unhappy customers or subscribers, loss on revenue and negative services’ perspective. Researchers and Service Providers are investing in Data mining, Machine Learning and AI (Artificial Intelligence) methods to manage services and experience. This research study focuses on the application models of Data Mining and Machine Learning covering network traffic, in the objective to arm Mobile Network Operators with full view of performance branches (Services, Device, Subscribers). The purpose is to optimize and minimize the time to detect service and subscriber patterns behaviour. Different data mining techniques and predictive algorithms will be applied on cellular network datasets to uncover different data usage patterns using specific Key Performance Indicators (KPIs) and Key Quality Indicators (KQI). The following tools will be used to develop the concept: R-Studio for Machine Learning, Apache Spark, SparkSQL for data processing and clicData for Visualization. / Electrical and Mining Engineering / M. Tech (Electrical Engineering)