E-learning systems provide a promising solution as an information exchanging channel. Improved technology could mean faster and easier access to information but does not necessarily ensure the quality of this information. Therefore it is essential to develop valid and reliable methods of quality measurement and carry out careful information quality evaluations. Information quality frameworks are developed to measure the quality of information systems, generally from the designers¿ viewpoint. The recent proliferation of e-services, and e-learning particularly, raises the need for a new quality framework in the context of e-learning systems. The main contribution of this thesis is to propose a new information quality framework, with 14 information quality attributes grouped in three quality dimensions: intrinsic, contextual representation and accessibility. We report results based on original questionnaire data and factor analysis. Moreover, we validate the proposed framework using an empirical approach. We report our validation results on the basis of data collected from an original questionnaire and structural equation modeling (SEM) analysis, confirmatory factor analysis (CFA) in particular. However, it is difficult to measure information quality in an e-learning context because the concept of information quality is complex and it is expected that the measurements will be multidimensional in nature. Reliable measures need to be obtained in a systematic way, whilst considering the purpose of the measurement. Therefore, we start by adopting a Goal Question Metrics (GQM) approach to develop a set of quality metrics for the identified quality attributes within the proposed framework. We then define an assessment model and measurement scheme, based on a multi element analysis technique. The obtained results can be considered to be promising and positive, and revealed that the framework and assessment scheme could give good predictions for information quality within e-learning context. This research generates novel contributions as it proposes a solution to the problems raised from the absence of consensus regarding evaluation standards and methods for measuring information quality within an e-learning context. Also, it anticipates the feasibility of taking advantage of web mining techniques to automate the retrieval process of the information required for quality measurement. This assessment model is useful to e-learning systems designers, providers and users as it gives a comprehensive indication of the quality of information in such systems, and also facilitates the evaluation, allows comparisons and analysis of information quality.

The increasing attention to the provision of accessible, decent, safe and academically appropriate student housing in South Africa has led to a closer investigation of the nature and levels of quality in both on-campus and off-campus student accommodation. Nationwide, student housing management recognises that quality student housing is of great importance to both the quality of the higher education system and the success of students. In recent years, many studies in the field of service quality have been conducted within higher education. However, fewer studies have focused specifically on service quality in student housing. The purpose of this study was to evaluate the perceptions of students with regard to service quality levels in on-campus and off-campus student housing at NMMU, and to identify those service quality dimensions that need attention. A literature review was conducted to explore the meaning and nature of service and quality in student housing. It was concluded that from the different facets of service that quality, customer expectations, customer perception and customer satisfaction are important constructs in evaluating fully the levels of service quality. An amended SERVQUAL instrument comprising 41 items was used for students, in order to evaluate the service quality at on-campus and accredited off-campus student housing at NMMU. The results showed that there are significant differences in the service quality dimensions of on-campus student housing and off-campus student housing. Oncampus student housing gleaned a positive assessment for the dimensions of reliability, responsiveness, empathy and assurance. However, negative perceptions prevail with regard to on-campus infrastructural/tangible issues. The off-campus student housing fell short in a number of service-quality dimensions, including reliability, empathy, responsiveness and infrastructural/tangible issues. The assurance dimension received positive assessments for both on-campus and off-campus student housing. The study proposes that the NMMU student housing management pay attention to the shortcomings and make the desired improvements. The findings of this treatise have practical implications for student-housing managers, as they could direct their resources to improving poor service dimensions, and similarly refine marketing strategies, so that students’ needs are met in an exceptional and satisfactory manner.

Thesis (M. Tech. (Tourism and Hospitality management)) -- Central University, Free State, 2014 / The formal full-service restaurant industry in South Africa is undergoing a period of anaemic growth due to the after effects of the 2009 global economic recession. Since the recession, industry growth has been subdued as diners seek more for their money when spending at restaurants. Consequently, industry revenue declined 1.8% in 2013 as diners tightened their purse strings. It is for this reason that it was decided to investigate diners’ expectations and experiences in selected formal full-service restaurants in Port Elizabeth. A pilot study was conducted among five diners in two formal full-service restaurants in Port Elizabeth, and the empirical study was conducted in December 2011 and January 2012 among 400 diners of eight formal full-service restaurants in Port Elizabeth. The research findings revealed that respondents with a tertiary diploma recorded the highest expectation score (4.25) whilst those who spoke languages other than Afrikaans, English, IsiZulu and IsiXhosa recorded the lowest (3.69). Respondents in the age group 55 to 64 years recorded the highest experience score (4.53) whilst those who spoke IsiXhosa recorded the lowest (3.84). Altogether 44.5% of the respondents frequented restaurants at different intervals two to four times in the previous six months whilst 51.2% spent on average, R200 to R299 per person and 18.5% held occupations in business, commerce and finance. Respondents who spent more than R399 had the highest expectation score (4.53) whilst those who frequented restaurants at different intervals more than 10 times in the previous six months had the lowest (3.97). Respondents with an occupation in education reported the highest experience score (4.36) whilst those who frequented restaurants at different intervals of nil to one time in the previous six months reported the lowest (4.04). A total of 22% of the respondents patronised restaurants because of good service. Restaurant B obtained the highest expectation (4.39) and experience (4.51) scores whilst restaurant C recorded the lowest expectation (3.71) and experience (4.03) scores. All diners’ experiences were below expectations giving an overall gap of -0.47. The strongest correlation with diners’ expectations was level of service whilst the strongest correlation with diners’ experiences was food quality. The regression model showed that the level of service was rated as the most important variable for diners’ expectations whilst the quality of food was rated as the most important for diners’ experiences. However, recommendations were made to improve diners’ experiences in the selected formal full-service restaurants in Port Elizabeth. The results of this study would help restaurateurs to identify areas of improvement and increase customer satisfaction.

The aim of this research is to evaluate the level of service quality provided by Eskom to its Large Power User (LPU) customer segment in the Eastern Cape. The research uses the SERVQUAL model in order to assess the customers’ expectations and perceptions of the service provided by Eskom. This evaluation report comprises three sections. Section one consists of (a) a review of service quality literature that exists and is applied to Eskom where relevant, (b) a summary of the method used to conduct the research, (c) the research findings, and (d) a discussion of the research findings and recommendations. Section two consists of a review of the key concepts identified for this study as follows: (a) defining customer service quality by looking at the concepts of the customer, service, quality and the dimensions of quality, (b) the importance of service quality, (c) the components of service quality in Eskom, (d) models of service quality, and (e) the SERVQUAL model used in this study. Section three consists of the detail of the research methodology used to conduct this study. The Gap Model of Service Quality (Parasuraman et al., 1985:44) is evaluated in order to understand the gaps between expected and perceived service. The provider gap (Zeithaml et al., 2006: 34) is also reviewed in order to identify the gaps that occur within the organisation. An extensive review of customer service quality models is undertaken before a discussion of the SERVQUAL model, which was used in this evaluation study, is provided. The researcher adopted the critical realism research paradigm and quantitative data was collected from a sample of 120 Eskom customers within the LPU customer segment in the Eastern Cape. These customers were randomly selected from the Eskom Customer Care and Billing database and comprised customers from Port Elizabeth, Aliwal North, Mthatha and East London Areas within the Eastern Cape. The data was collected online through a questionnaire which was based on SERVQUAL and modified for electricity services. The quantitative data obtained from the study is presented in the form of tables and graphs created from the data obtained from the 45 customers who responded to the questionnaire. The gaps between LPU customer perceptions and expectations were calculated for the five SERVQUAL dimensions. The research identifies the existing gaps in the service delivered by Eskom; this is based on the perceptions and expectations of the LPU customers in the Eastern Cape, who participated in the study. The results reveal that gaps exist between LPU customer perceptions and their expectations of the service provided by Eskom in the Eastern Cape. The key findings reveal that the largest gaps are within the reliability and empathy dimensions and the smallest gap is in the tangibles dimension. The recommendations were made on the basis of the gaps which were identified and these focus on the training of the front line staff responsible for servicing customers. It is recommended that this training should include an overview of the organisation’s policies and procedures to enable employees to respond adequately to customer queries. Recommendation is also made on training staff to interact with customers effectively in order to resolve customer queries satisfactorily. Finally, it is recommended that regular assessments of the existing customer service quality levels are conducted in order for the organisation to remain aware of the current customer perceptions and expectations

The amount of data accumulated by organizations have grown significantly during the last couple of years, increasing the importance of data quality. Ensuring data quality for large amounts of data is a complicated task, but crucial to subsequent analysis. This study investigates how to maintain and improve data quality in a data warehouse. A case study of the errors in a data warehouse was conducted at the Swedish company Kaplan, and resulted in guiding principles on how to improve the data quality. The investigation was done by manually comparing data from the source systems to the data integrated in the data warehouse and applying a quality framework based on semiotic theory to identify errors. The three main guiding principles given are (1) to implement a standardized format for the source data, (2) to implement a check prior to integration where the source data are reviewed and corrected if necessary, and (3) to create and implement specific database integrity rules. Further work is encouraged on establishing a guide for the framework on how to best perform a manual approach for comparing data, and quality assurance of source data. / Mängden data som ackumulerats av organisationer har ökat betydligt under de senaste åren, vilket har ökat betydelsen för datakvalitet. Att säkerställa datakvalitet för stora mängder data är en komplicerad uppgift, men avgörande för efterföljande analys. Denna studie undersöker hur man underhåller och förbättrar datakvaliteten i ett datalager. En fallstudie av fel i ett datalager på det svenska företaget Kaplan genomfördes och resulterade i riktlinjer för hur datakvaliteten kan förbättras. Undersökningen gjordes genom att manuellt jämföra data från källsystemen med datat integrerat i datalagret och genom att tillämpa ett kvalitetsramverk grundat på semiotisk teori för att kunna identifiera fel. De tre huvudsakliga riktlinjerna som gavs är att (1) implementera ett standardiserat format för källdatat, (2) genomföra en kontroll före integration där källdatat granskas och korrigeras vid behov, och (3) att skapa och implementera specifika databasintegritetsregler. Vidare forskning uppmuntras för att skapa en guide till ramverket om hur man bäst jämför data genom en manuell undersökning, och kvalitetssäkring av källdata.

Delivering education through open and distance learning (ODL) mode imposes upon ODL institutions a responsibility to provide support services deemed adequate to address students’ expectations and learning needs. Student support services are a vital part of academic success in distance learning environments because of the nature of distance education. Therefore, it is critical to provide student support services whose quality levels are acceptable to those who use them. Quality and its measurements are a contentious issue in higher education and distance education. Efforts to help service quality researchers in distance education understand service quality and its evaluation have come from marketing researchers. Among different approaches of service quality assessment is the SERVQUAL model. This study explored and examined the quality of students’ support services in distance learning environments from students’ perspective, using a modified SERVQUAL model. The objectives of the study were to examine students’ expectations and perceptions of the quality of support services; analyse the gaps between expectations and perceptions; develop and validate a service quality model and a scale to evaluate the quality of distance education students’ support services. A sequential mixed methods design was used to collect and analyse the data. Data were collected in two phases. The first phase involved collecting data qualitatively. The qualitative data were used to develop a context specific service quality model and a scale. The model and the scale were validated in the second (quantitative) phase of the study. The results of the study showed that the students’ expectations exceeded the perceived performance levels of the student support services. The largest gaps related to feedback, study material delivery and spaces for quiet learning. The study also found that distance education student support services can be measured by four service quality dimensions, namely: tangibles, reliability, delivery and assurance. / Curriculum and Instructional Studies / D. Ed. (Curriculum Studies)

Submitted in fulfillment of the requirements for the degree Master in Philosophy Public Management, Durban, University of Technology, Durban, South Africa, 2017. / This research investigated internal service quality perceptions held by DUT Writing Centre tutors. This research is important because literature is indicative of the fact that internal service quality is a precursor to external service quality. The study employs a mixed method approach. An adapted SERVQUAL Battery termed by Frost and Kumar (2000) as INTSERVQUAL was used to gather the quantitative data. The qualitative data was from a secondary source which was focus group discussions and was analysed using thematic analysis. This study utilised the survey method and a census was conducted to investigate the service quality dimensions. The quantitative results were analysed by use of descriptive and inferential statistics by SPSS 24 program. Five dimensions being reliability, responsiveness, assurance, empathy and tangibles were measured by the instrument and a GAP analysis of the expectation and perception scores was done. It was found that the highest gap was in the tangibles dimension and the lowest gap in the reliability dimension. The research objectives were as follows: • To determine Writing Centre tutors’ expectations of internal service quality at DUT writing centres; • To evaluate Writing Centre tutors’ perceptions of internal service quality at DUT writing centres; • To identify gaps between expectations and perceptions of internal service quality at DUT writing centres; and • To identify customer service expectations and perceptual differences in relation to biographical variables in the population. / M

Les modèles conceptuels (MC) jouent un rôle crucial qui est celui de servir de base à l’ensemble du processus de développement d’un système d’information (SI) mais aussi de moyen de communication à la fois au sein de l’équipe de développement et avec les utilisateurs durant les premières étapes de validation. Leur qualité joue par conséquent un rôle déterminant dans le succès du système final. Des études ont montré que la majeure partie des changements que subit un SI concerne des manques ou des défaillances liés aux fonctionnalités attendues. Sachant que la définition de ses fonctionnalités incombe à la phase de l’analyse et conception dont les MC constituent les livrables, il apparaît indispensable pour une méthode de conception de veiller à la qualité des MC qu’elle produit. Notre approche vise les problèmes liés à la qualité de la modélisation conceptuelle en proposant une solution intégrée au processus de développement qui à l’avantage d’être complète puisqu’elle adresse à la fois la mesure de la qualité ainsi que son amélioration. La proposition couvre les aspects suivants: i. Formulation de critères de qualité en fédérant dans un premier temps les travaux existant sur la qualité des MC. En effet, un des manques constaté dans le domaine de la qualité des MC est l’absence de consensus sur les concepts et leurs définitions. Ce travail a été validé par une étude empirique. Ce travail a également permis d’identifier les parties non couverte par la littérature et de les compléter en proposant de nouveaux concepts ou en précisant ceux dont la définition n’était complète. ii. Définition d’un concept (pattern de qualité) permettant de capitaliser les bonnes pratiques dans le domaine de la mesure et de l’amélioration de la qualité des MC. Un pattern de qualité sert à aider un concepteur de SI dans l’identification des critères de qualité applicables à sa spécification, puis de le guider progressivement dans la mesure de la qualité ainsi que dans son amélioration. Sachant que la plupart des approches existantes s’intéresse à la mesure de la qualité et néglige les moyens de la corriger. La définition de ce concept est motivée par la difficulté et le degré d’expertise important qu’exige la gestion de la qualité surtout au niveau conceptuel où le logiciel fini n’est pas encore disponible et face à la diversité des concepts de qualité (critères et métriques) pouvant s’appliquer. iii. Formulation d’une méthode orientée qualité incluant à la fois des concepts, des guides et des techniques permettant de définir les concepts de qualité souhaités, leur mesure et l’amélioration de la qualité des MC. Cette méthode propose comme point d’entrée le besoin de qualité que doit formuler le concepteur. Il est ensuite guidée de manière flexible dans le choix des critères de qualité adaptés jusqu’à la mesure et la proposition de recommandations aidant à l’amélioration de la qualité du MC initial conformément au besoin formulé. iv. Développement d'un prototype "CM-Quality". Notre prototype met en œuvre la méthode proposée et offre ainsi une aide outillé à son application. Nous avons enfin mené deux expérimentations ; la première avait comme objectif de valider les concepts de qualité utilisés et de les retenir. La deuxième visait à valider la méthode de conception guidée par la qualité proposée / Conceptual models (CM) serve as the blueprints of information systems and their quality plays decisive role in the success of the end system. It has been witnessed that majority of the IS change-requests result due to deficient functionalities in the information systems. Therefore, a good analysis and design method should ensure that CM are correct and complete, as they are the communicating mediator between the users and the development team. Our approach targets the problems related to conceptual modeling quality by proposing a comprehensive solution. We designed multiple artifacts for different aspects of CM quality. These artifacts include the following: i. Formulation of comprehensive quality criteria (quality attributes, metrics, etc.) by federating the existing quality frameworks and identifying the quality criteria for gray areas. Most of the existing literature on CM quality evaluation represents disparate and autonomous quality frameworks proposing non-converging solutions. Thus, we synthesized (existing concepts proposed by researchers) and added the new concepts to formulate a comprehensive quality approach for conceptual models that also resulted in federating the existing quality frameworks. ii. Formulation of quality patterns to encapsulate past-experiences and good practices as the selection of relevant quality criteria (including quality attributes and metrics) with respect to a particular requirement (or goal) remains trickier for a non-expert user. These quality patterns encapsulate valuable knowledge in the form of established and better solutions to resolve quality problems in CM. iii. Designing of the guided quality driven process encompassing methods and techniques to evaluate and improve the conceptual models with respect to a specific user requirement or goal. Our process guides the user in formulating the desired quality goal, helps him/her in identifying the relevant quality patterns or quality attributes with respect to the quality goal and finally the process helps in evaluating the quality of the model and propose relevant recommendations for improvement. iv. Development of a software prototype “CM-Quality”. Our prototype implements all the above mentioned artifacts and proposes a workflow enabling its users to evaluate and improve CMs efficiently and effectively. We conducted a survey to validate the selection of the quality attributes through the above mentioned federating activity and also conducted three step detailed experiment to evaluate the efficacy and efficiency of our overall approach and proposed artifacts.

Purpose: The purpose of this study was to determine if a proposed technology-mediated intervention is a viable alternative to traditional study abroad for those who are unable to travel. While technology cannot reproduce the same experience of traveling abroad, the primary objective of this study was to determine if there is value in using Web conferencing technology to provide students with access to the same opportunity to interact with international experts in the field as their counterparts who were able to travel. This formative evaluation is the first in a series of iterative studies aimed at developing a viable, sustainable, technology-based solution through design-based research (Reeves, 2006). Methodology/Design: Two guiding questions drove the focus of this formative evaluation: Did the program accomplish what was intended and was it implemented effectively? These generated a set of evaluation questions using the Online Learning Consortium (OLC) Quality Framework, which were used to evaluate the quality of a joint study abroad program in Brazil with students and instructors from the University of Central Florida and the University of Scranton. While studying global health management in Brazil, the group in the field broadcasted their site visits live to online participants back in the United States. Web conferencing tools allowed the online attendees to see and hear the group in Brazil and interact in real time through the audio or text chat. Evaluation data was compiled from multiple sources including an anonymous student survey, instructor interviews, session recordings, financial budgets, and online facilitator observations in order to triangulate and evaluate the effectiveness of this Web-based intervention. Findings: Web conferencing technology appears to be a viable alternative that is not necessarily as immersive as traveling abroad, but it does provide its own set of benefits to higher education students. This formative evaluation revealed clear areas for improvement, including technical and procedural elements, but instructors and online participants did find value in the experience. Was it perfect? No. Was it successful? Yes. Was it encouraging? Definitely. Exploration of the evaluation questions under each of the five pillars of the OLC Quality Framework revealed both success factors and areas for improvement in each of the following categories: learning effectiveness, scale (commitment & cost), access, faculty satisfaction, and student satisfaction. Implications: Overall, this was a successful proof of concept that justifies future improvements and subsequent further evaluation in an iterative design-based research program. In addition to repeating this study with the joint global health management course in Brazil, this intervention could also be implemented and evaluated in other contexts, disciplines, and countries around the world. This formative evaluation produced a set of recommendations for the next study based on the success factors as well as the areas for improvement identified in this initial implementation in addition to a list of suggestions for future research.