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1
Weng, Li-Tung. "Information enrichment for quality recommender systems." Queensland University of Technology, 2008. http://eprints.qut.edu.au/29165/.
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The explosive growth of the World-Wide-Web and the emergence of ecommerce are the major two factors that have led to the development of recommender systems (Resnick and Varian, 1997). The main task of recommender systems is to learn from users and recommend items (e.g. information, products or books) that match the users’ personal preferences.
Recommender systems have been an active research area for more than a decade. Many different techniques and systems with distinct strengths have been developed to generate better quality recommendations. One of the main factors that affect recommenders’ recommendation quality is the amount of information resources that are available to the recommenders. The main feature of the recommender systems is their ability to make personalised recommendations for different individuals. However, for many ecommerce sites, it is difficult for them to obtain sufficient knowledge about their users. Hence, the recommendations they provided to their users are often poor and not personalised. This information insufficiency problem is commonly referred to as the cold-start problem.
Most existing research on recommender systems focus on developing techniques to better utilise the available information resources to achieve better recommendation quality. However, while the amount of available data and information remains insufficient, these techniques can only provide limited improvements to the overall recommendation quality.
In this thesis, a novel and intuitive approach towards improving recommendation quality and alleviating the cold-start problem is attempted. This approach is enriching the information resources. It can be easily observed that when there is sufficient information and knowledge base to support recommendation making, even the simplest recommender systems can outperform the sophisticated ones with limited information resources. Two possible strategies are suggested in this thesis to achieve the proposed information enrichment for recommenders:
• The first strategy suggests that information resources can be enriched by considering other information or data facets. Specifically, a taxonomy-based recommender, Hybrid Taxonomy Recommender (HTR), is presented in this thesis. HTR exploits the relationship between users’ taxonomic preferences and item preferences from the combination of the widely available product taxonomic information and the existing user rating data, and it then utilises this taxonomic preference to item preference relation to generate high quality recommendations.
• The second strategy suggests that information resources can be enriched simply by obtaining information resources from other parties. In this thesis, a distributed recommender framework, Ecommerce-oriented Distributed Recommender System (EDRS), is proposed. The proposed EDRS allows multiple recommenders from different parties (i.e. organisations or ecommerce sites) to share recommendations and information resources with each other in order to improve their recommendation quality.
Based on the results obtained from the experiments conducted in this thesis, the proposed systems and techniques have achieved great improvement in both making quality recommendations and alleviating the cold-start problem.
2
Edlund, Sara, and Andreas Lövquist. "The role of system administrators in information systems success." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176138.
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Limited research has been conducted on how system administrators actually can affect information systems (IS) after they have been implemented; hence, this study examines how system administrators can affect IS success in an implemented IS. The study identified a system administrator´s affect on the three IS quality dimensions in the DeLone and McLean IS success model. The empirical findings was based on a single case study where the data was collected through interviews with the system administrator and the system assistants, but also through a questionnaire answered by the users of the IS. The empirical findings suggested that the system administrator can affect IS success through the IS quality dimensions both directly and indirectly. The system administrator´s affect on IS success proved to be highly dependent on the external system vendor and the structure of the internal support unit.
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Alkhattabi, Mona A. "Information quality assessment in e-learning systems." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4867.
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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.
4
Alkhattabi, Mona Awad. "Information quality assessment in e-learning systems." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4867.
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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.
5
Jonsdottir, Elin Astridur. "The Intranet and Information Quality." Thesis, University of Skövde, Department of Computer Science, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-496.
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In this work, the quality of information in the Internet and intranet will be dealt with. What characterises information of quality cannot be decided ones and for all, as it always will be in relation to the user's needs. The factors, however, that can be thought of when evaluating information can be outlined. These factors will be discussed and compared to the methods that are used by web editors to secure quality of the information in the intranet.
The methods used to investigate the paper's thesis, are the study of literature and three interviews are conducted. The study of literature is meant to reveal the aspects that can be considered when evaluating information published via the Internet and intranet. The interviews are conducted to see how web editors secure that the information in the intranet is of high quality.
The study has revealed that the following aspects can be considered when evaluating information in the Internet and intranet. These aspects are the purpose of the information; the information's authority; the accuracy, maintenance, and currency of the information and last, the accessibility and presentation of the information.
6
Theodorsson, Mike, and Ida Rydiander. "Assuring Quality in Web-Based Information Systems : A quality-driven design model." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1353.
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Quality has always been an elusive concept in information system design, even more so when dealing with the online-sphere. The purpose of this thesis is to investigate and dissect the concept of quality and present a practical way to apply it to the design process. To do this, a quality-driven design model has been developed, focused around four crucial aspects of overall quality: accessibility, usability, navigation and interactivity. By utilizing simple and practical techniques and measuring their success in achieving quality, this study attempts to prove that quality can be harnessed as a hands-on resource, guaranteed in any design project involving a Web-Based Information System, merely by applying this model.
Kvalitet har alltid varit ett begrepp svårt att fånga och tillämpa, speciellt när området Internet kommer in i bilden. Den här C-uppsatsen har således som syfte att undersöka och bryta ned kvalitetskonceptet samt presentera ett praktiskt tillvägagångsätt som kan utnyttjas under design processen. För att göra detta så har vi utvecklat en kvalitetsdriven designmodell, fokuserad runt fyra kvalitetsaspekter: tillgänglighet, användbarhet, navigation och interaktion. Genom att utnyttja praktiska och enkla tekniker och genom att mäta deras effektivitet i att utveckla kvalitet, så försöker den här studien att bevisa att kvalitet kan användas som en praktisk resurs. Kvalitet kan garanteras i alla designprojekt som involverar ett web-baserat informationssystem, genom användning av denna modell.
7
Baškarada, Saša Koronios Andy. "Information quality management capability maturity model." Wiesbaden : Vieweg + Teubner Research, 2009. http://site.ebrary.com/id/10382617.
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Baškarada, Saša. "Information quality management capability maturity model." Wiesbaden [Germany] : Vieweg+Teubner Research, 2009. http://dx.doi.org/10.1007/978-3-8348-9634-6.
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Naumann, Felix. "Quality-driven query answering for integrated information systems /." Berlin [u.a.] : Springer, 2002. http://www.loc.gov/catdir/enhancements/fy0817/2002023684-d.html.
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Tamtam, Abdurrzzag Giuma A. "A Framework for Exploring Information Systems Quality Perspectives." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-233430.
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Záměrem předložené disertační práce je porozumět tomu, jak investoři v konkrétním společenském kontextu vnímají význam kvality informačních systémů. Ze studia literatury zabývající se přístupy a rámci hodnocení kvality informačních systémů vyplývá, že tato kvalita je obecně hodnocena z hlediska striktního přístupu. V této práci je ukázáno, že kvalitu informačního systému lze smysluplně pochopit použitím interpretačního paradigmatu a že kvalita informačního systému je definována společensky a ovlivňována kontextem tohoto systému. Studie byla zahájena průzkumem dvaceti libyjských organizací. Podrobnější data byla získána z případové studie dvou vybraných libyjských organizací působících ve veřejném sektoru. Při empirické analýze nashromážděných dat bylo využito rámce mnohočetné perspektivy, který zahrnuje hlediska teorie strukturalizace, pojem mnohočetných perspektiv a metodologii měkkých systémů. V práci se dospělo ke zjištění, že: a) kvalita informačních systémů je pojata šíře, než je tomu u tradiční definice kvality, b) mnohočetné perspektivy kvality informačních systémů jsou ovlivněny opakovanou interakcí mezi investorem a institucionálními vlastnostmi kontextu informačního systému a že c) rozdílné hodnoty v kulturním prostředí a vnějším kontextu ovlivňují rozsah působnosti investora a interakce v kontextu informačního systému. Ze závěru práce vyplývá, že společenská skladba mnohočetných perspektiv kvality informačního systému je ovlivněna strukturalizačními procesy mezi investory a vlastnostmi v kontextu informačního systému.
11
Lui, King Hong. "Adoption of quality practices in managing information systems." HKBU Institutional Repository, 1998. http://repository.hkbu.edu.hk/etd_ra/171.
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Mycroft, Matthew. "An Information System for Health Care Quality Measures." Digital Commons at Loyola Marymount University and Loyola Law School, 2016. https://digitalcommons.lmu.edu/etd/426.
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The Patient Protection and Affordable Care Act (PPACA) is slowly transforming the U.S. Health Care System from a fee-for-service structure, which reimburses providers based on the quantity of patient encounters, to a new structure that emphasizes the value of care. Since value can be interpreted differently among various stakeholders, quality measures have been established by government and nonprofit sources. These quality measures serve as agreed-upon criteria by which to measure the achievement of value in health care. While these measures help to improve the quality of health care, they can also be burdensome to physicians and health care organizations. Implementation of quality measurement programs requires the involvement of highly intelligent people who think about what to measure, what to focus on, and how to accomplish outcomes. Thus, the process of selecting measures and compiling recommendations (reports) can be time consuming, complicated, and expensive.
Applying SELP coursework fundamentals, key process activities outlined by INCOSE, and the DoD Architectural Framework, a quality measure information system was developed. The primary business objective (top level requirement) of the project was to reduce the cost and improve the quality of the measure selection and report generation processes. First, fundamental systems engineering principles were applied to understand the problem, conduct a lean analysis, identify stakeholders' needs, and derive a set of requirements to meet the primary business objective. Subsequently, five alternative solutions were evaluated to identify a preferred solution that could best meet the primary business objective while minimizing risk. The DoD Architectural Framework and course material from Integration of Hybrid Hardware and Software Systems (SELP 560) was then applied to develop, represent, and understand the information system architecture. Finally, leveraging Management Information Systems Coursework (MBAA 609), a system prototype was created utilizing Microsoft Access.
The system prototype demonstrated a capability to reduce the cost and improve the quality of the health care quality measure selection and report generation processes. Utilizing pre-selected associations between various quality measures and categories of care, comprehensive quality measure reports can be generated in a matter of seconds for many categories of medical care. These comprehensive reports serve to educate users about various quality measures and to aid administrators in the development of comprehensive quality measurement programs. In one particular example, health care organizations will utilize the generated quality measure reports for the purpose of redesigning compensation and incentive pay for physicians and health care executives. In this particular example, estimates show that the system prototype is expected to reduce the labor associated with measure research and selection by approximately 49%, resulting in thousands of dollars of estimated savings. Additionally, the system will automate complicated measure search processes, which will increase the quality and consistency of the reported data.
13
Bizer, Christian. "Quality-driven Information Filtering in the Context of web-based Information Systems." [S.l.] : [s.n.], 2007. http://www.diss.fu-berlin.de/2007/217/index.html.
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Pham, Tommy. "Impact of Customer Analytics Use on CRM : Role of Analytics's culture, Information quality, and customer orientation." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85169.
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The present research work is an exploratory study that aims to investigate the impact of Big Data Customer Analytics Use (BDCAUse) in customer relationship management (CRM) by providing a comprehensive overview of the main factors that can affect BDCAUse in the organizations andhow this use affects the information quality. The influence of BDCAUse could bring benefits and increase the competitive advantage for the companies. More precisely, this study analysed if customer orientation and big data analytics culture would improve the use of big data customer analytics in the organization, and if this would, in turn, enhance the quality of the information, thus the customer knowledge, get into more insights about the customer behaviour and answer the right needs of its customers. Using an online survey, respondents from different business units in different organizations and companies were invited to participate. The author received 20 responses of which 18 were considered valid. The data was analysed using the SPSS tool and SmartPLS to analyse the consistency of the measures used and to test the suggested research model. The results show that customer orientation and big data analytics culture are key to influence the use of big data customer analytics to be able to gather information quality and improve the CRM performance in the organization. The main limitations of the research work consisted of collecting data with a relatively very small sample, although these were designed as an exploratory study to test first identified factors that could affect big data customer analytics use. A recommendation for future research would be to run the study with a larger sample size to analyse the research model and check again the reliability of the measures and the validity of the results. Keywords: Big Data Customer Analytics Use, Customer Orientation, Big Data Analytics Culture, Information Quality, Customer Relationship Management Performance
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Wilkin, Carla Lesley, and kimg@deakin edu au. "QUALITY AS THE CRITERION FOR DELIVERED INFORMATION SYSTEMS EFFECTIVENESS." Deakin University. School of Information Services, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20031205.172039.
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One of the major challenges of MIS activities is the difficulty in measuring the effectiveness of delivered systems. The principal purpose of my research is to explore this field in order to develop an instrument by which to measure such effectiveness. Conceptualisation of Information System (IS) Effectiveness has been substantially framed by DeLone and McLean's (1992) Success; Model. But with the innovation in Information Technology (IT) over the past decade, and the constant pressure in IT to improve performance, there is merit in undertaking a fresh appraisal of the issue.
This study built on the model of IS Success developed by DeLone and MeLean, but was broadened to include related research from the domains of IS, Management and Marketing. This analysis found that an effective IS function is built on three pillars: the systems implemented; the information held and delivered by these systems; and, the service provided in support of the IS function. A common foundation for these pillars is the concept of stakeholder needs. In seeking to appreciate the effectiveness: of delivered IS applications in relation to the job performance of stakeholders, this research developed an understanding of what quality means in an IT context I argue that quality is a more useful criterion for effectiveness than the more customary measures of use and user satisfaction. Respecification of the IS Success Model was then proposed.
The second phase of the research was to test this model empirically through judgment panels, focus groups and interviews. Results consistently supported the structure and components of the respecified model. Quality was determined as a multi-dimensional construct, with the key dimensions for the quality of delivered IS differing from those used in the research from other disciplines. Empirical work indicated that end-user stakeholders derived their evaluations of quality by internally evaluating perceived performance of delivered IS in relation to their expectations for such performance. A short trial explored whether, when overt measurement of expectations was concurrent with the measurement of perceptions, a more revealing
appraisal of delivered IS quality was provided than when perceptions alone were measured. Results revealed a difference between the two measures.
Using the New IS Success Model as the foundation, and drawing upon the related theoretical and empirical research, an instrument was developed to measure the quality/effectiveness of delivered IS applications. Four trials of this instrument, QUALIT, are documented. Analysis of results from preliminary trials indicates promise in terms of business value: the instrument is simple to administer and has the capacity to pinpoint areas of weakness.
The research related to the respecification of the New IS Success Model and the associated empirical studies, including the development of QTJALIT, have both contributed to the development of theory about IS Effectiveness. More precisely, my research has reviewed the components of an information system, the dimensions comprising these components and the indicators of each, and based upon these findings, formulated an instrument by which to measure the effectiveness of a delivered IS.
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Xu, Hongjiang. "Critical success factors for accounting information systems data quality." University of Southern Queensland, Faculty of Business, 2003. http://eprints.usq.edu.au/archive/00001526/.
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Quality information is critical to organisations’ success in today’s highly competitive environment. Accounting information systems (AIS) as a discipline within information systems require high quality data. However, empirical evidence suggests that data quality is problematic in AIS. Therefore, knowledge of critical factors that are important in ensuring data quality in accounting information systems is desirable. A literature review evaluates previous research work in quality management, data quality, and accounting information systems. It was found that there was a gap in the literature about critical success factors for data quality in accounting information systems. Based on this gap in the literature and the findings of the exploratory stage of the research, a preliminary research model for factors influence data quality in AIS was developed. A framework for understanding relationships between stakeholder groups and data quality in accounting information systems was also developed. The major stakeholders are information producers, information custodians, information managers, information users, and internal auditors. Case study and survey methodology were adopted for this research. Case studies in seven Australian organisations were carried out, where four of them were large organisations and the other three are small to medium organisations (SMEs). Each case was examined as a whole to obtain an understanding of the opinions and perspectives of the respondents from each individual organisation as to what are considered to be the important factors in the case. Then, cross-case analysis was used to analyze the similarities and differences of the seven cases, which also include the variations between large organisations and small to medium organisations (SMEs). Furthermore, the variations between five different stakeholder groups were also examined. The results of the seven main case studies suggested 26 factors that may have impact on data quality in AIS. Survey instrument was developed based on the findings from case studies. Two large-scale surveys were sent to selected members of Australian CPA, and Australian Computer Society to further develop and test the research framework. The major findings from the survey are: 1. respondents rated the importance of the factors consistent higher than the actual performance of those factors. 2. There was only one factor, ‘audit and reviews’, that was found to be different between different sized organisations. 3. Four factors were found to be significantly different between different stakeholder groups: user focus, measurement and reporting, data supplier quality management and audit and reviews. 4. The top three critical factors for ensuring data quality in AIS were: top management commitment, education and training, and the nature of the accounting information systems. The key contribution of this thesis is the theoretical framework developed from the analysis of the findings of this research, which is the first such framework built upon empirical study that explored factors influencing data quality in AIS and their interrelationships with stakeholder groups and data quality outcomes. That is, it is now clear which factors impact on data quality in AIS, and which of those factors are critical success factors for ensuring high quality information outcomes. In addition, the performance level of factors was also incorporated into the research framework. Since the actual performance of factors has not been highlighted in other studies, this research adds new theoretical insights to the extant literature. In turn, this research confirms some of the factors mentioned in the literature and adds a few new factors. Moreover, stakeholder groups of data quality in AIS are important considerations and need more attention. The research framework of this research shows the relationship between stakeholder groups, important factors and data quality outcomes by highlighting stakeholder groups’ influence on identifying the important factors, as well as the evaluation of the importance and p erformance of the factors.
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Drummond, Jane E. "Determining and processing quality parameters in geographic information systems." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315587.
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Zhang, Yanlong. "Quality Modelling and Metrics of Web-based Information Systems." Thesis, Oxford Brookes University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492158.
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In recent years, the World Wide Web has become a major platform for software applications. Web-based information systems have been involved in many areas of our everyday life, such as education, entertainment, business, manufacturing, communication, etc. As web-based systems are usually distributed, multimedia, interactive and cooperative, and their production processes usually follow ad-hoc approaches, the quality of web-based systems has become a major concern. . Existing quality models and metrics do not fully satisfy the needs of quality management of Web-based systems. This study has applied and adapted software quality engineering methods and principles to address the following issues, a quality modeling method for derivation of quality models of Web-based information systems; and the development, implementation and validation of quality metrics of key quality' attributes of Web-based information systems, which include navigability and timeliness. The quality modeling method proposed in this study has the following strengths. It is more objective and rigorous than existing approaches. The quality analysis can be conducted in the early stage of system life cycle on the design. It is easy to use and can provide insight into the improvement of the design of systems. Results of case studies demonstrated that the quality modeling method is applicable and practical. Practitioners can use the modeling method to develop their own quality models. This study is amongst the first comprehensive attempts to develop quality measurement for Web-based information systems. First, it identified the relationship between website structural complexity and navigability. Quality metrics of navigability were defined, investigated and implemented. Empirical studies were conducted to evaluate the metrics. Second, this study investigated website timeliness and attempted to find direct and indirect measures for the quality attribute. Empirical studies for validating such metrics were also conducted. This study also suggests four areas of future research that may be fruitful.
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Chen, Hong. "Modeling information quality in agent-based e-commerce systems." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28167.
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In agent-based e-commerce systems, most buying agents rely primarily on ranking algorithms to make purchase decisions. These algorithms are based on one or a combination of several features of goods information, such as price, seller's reputation, etc.; however, information quality is usually ignored. This leads to the problem that product information is retrieved without proper regard to their quality. Realizing the importance and necessity of information quality for buying agents, this thesis introduces an Information Quality (IQ)-based ranking approach. A model which combines information quality assessment with user expectation is proposed. An approach on representation and interpretation of information quality is also developed. Two sets of experiments are conducted to verify the applicability of the proposed model and explore the effectiveness of individual information quality dimensions. The experimental results show that information quality based ranking does lead to better user satisfaction.
Keywords: Information quality, agent system, e-commerce
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Dooley, Paul. "An Empirical Development of Critical Value Factors for System Quality and Information Quality in Business Intelligence Systems Implementations." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/48.
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Business intelligence (BI) systems have been widely recognized as a leading technology for many years. However, despite the high priority and importance placed on BI, there has been a significant lack of BI system implementation (BISI) success. BI systems are not considered to be conventional information systems (IS) and often rely on the integration of a complex information infrastructure. Consequently, the degree of information quality (IQ) and system quality (SQ) have not met expectations for BISI success.
This study was designed to determine how an organization may gain benefits in the context of BISI by uncovering the antecedents and critical value factors (CVFs) of SQ and IQ necessary to derive greater BISI success. In phase one, a list of BISI SQ and IQ characteristics were collected through literature discovery and an open-ended questionnaire delivered to a group of BI user experts. The collected items were grouped and categorized based on their similarities. In phase two of the study 257 survey responses were collected from BI users to measure the level of importance, i.e. value, they placed on SQ and IQ characteristics. Exploratory factor analysis (EFA) via principal component analysis (PCA) was then used to uncover the CVFs of SQ and IQ that influence BISI success. Two highly reliable CVFs for SQ of BISI with a cumulative variance of nearly 62% and three highly reliable CVFs for IQ of BISI with a cumulative variance of over 75% were subsequently identified. In phase three of the study, an extended conceptual model for IS success was validated to assess the uncovered CVFs of SQ and IQ, as well as their influence on the constructs of perceived SQ of BISI and perceived IQ of BISI. Employing partial least squares (PLS), a subset of structural equation modeling (SEM), the research model was then used to assess the dimensions of perceived SQ of BISI and perceived IQ of BISI as antecedents of the constructs of perceived user systems satisfaction and perceived user information satisfaction from BISI. The crossover effects of perceived user systems and information satisfaction from BISI were also analyzed. The results identified two SQ CVFs of BISI (integration flexibility SQ and reliability SQ) that demonstrated a significant positive impact on perceived SQ for BISI as well as three IQ CVFs of BISI (representation IQ, intrinsic IQ, and accessibility IQ) that had a significant positive impact on perceived IQ of BISI. The constructs of perceived user systems satisfaction and perceived user information satisfaction from BISI had explained variances of R2 = .576 and .589 respectively. Additionally, 12 items of SQ for BISI and 14 items of IQ for BISI were identified as possessing high reliability.
This study makes two important contributions to the IS body of knowledge. First, it investigated the universal set of antecedents of SQ and IQ to establish the CVFs of IQ (integration flexibility SQ and reliability SQ) as well as the CVFs of IQ (representation IQ, intrinsic IQ, and accessibility IQ) for BISI success. Second, this study evaluated the crossover effects of system and information satisfaction in BISI success highlighting the importance that BI users place on the need to distinguish between the BI system, the IQ of the output produced, and the influence of IQ on perceived user system satisfaction from BISI. This study benefits stakeholders by focusing on what is important to BISI success and identifies those areas that are most likely to lead to better use of scarce resources while providing the greatest benefits.
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Unal, Muruvvet. "Centralization And Advance Quality Information In Remanufacturing." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12611109/index.pdf.
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In this study, value of quality information and the eects of centralization are investigated
for a reverse supply chain consisting of a remanufacturer and a collector. Used products are
collected and inspected to classify them into quality groups, then they are remanufactured to
meet the demand of remanufactured products. The supply of collected products and demand
of remanufactured products are both price-sensitive. The uncertain quality of the collected
products is revealed by an inspection process. Two quality classes are considered, and the cost
of remanufacturing depends on the quality class. The main decisions are on acquisition fee for
the returns, the selling price for remanufactured products, and the transfer prices of inspected
products between the collector and the remanufacturer. For this environment, centralized
and decentralized settings are considered and dierent models that dier in availability of
quality information when the pricing decisions are made are built. We explore the value of
advance quality information and eects of centralization on the optimal prices and profits via
a computational study.
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Deaton, Scott Lowrey. "Site investigation quality analysis using a geographic information system." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/21252.
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Smith, Jill Yvonne. "Communication Quality in Information Systems Development: The Effect of Computer-Mediated Communication on Task-Oriented Problem Solving." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc331600/.
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The problem motivating this research is that ineffective communication may hamper systems development efforts. Specifically germane to this study are development efforts characterized as task-oriented, and which require information-sharing and problem-solving activities. This research problem motivated an analysis of the communication process and lead to the development of a temporal framework that delineates variables associated with task-oriented, end user/systems analyst communication interactions. Several variables within this framework are depicted in two theoretical models. The first model shows the theoretical relationship between an independent variable, communication mode (represented by asynchronous computer conferencing and face-to-face conferencing), and five dependent variables: (1) the amount of information shared, (2) the significance of the information shared, (3) the comprehensiveness of the information shared, (4) the perception of progress toward the goal, and (5) the perception of freedom to participate. The second model depicts the assumed interaction between communication mode, the five variables cited above (now acting as independent variables), and a dependent variable, communication quality. There are two theoretical components of communication quality: (1) deviation from an optimal set of user requirements, and (2) the degree of convergence (unity based on mutual understanding and mutual agreement) emanating from a communication interaction. Using the theoretical models as a guide, an experiment was designed and performed to test the relationships among the variables. The experimental results led to the rejection of all null hypotheses; the results strongly favored face-to-face conferencing for solving task-oriented, information-sharing problems analagous to the case used in the present study. The findings indicate that asynchronous computer conferencing may have a detrimental effect on the thoroughness of information exchange, on the relevance of the information shared in terms of making the correct decision, and on the completeness of the consideration given to all problem dimensions.
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Wiberg, Nils. "Use Qualities: An Organic Luxury We Can Afford : A Primer and Implementation of how Organic Interfaces can Improve the Use Quality Affordance." Thesis, Umeå University, Department of Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-32874.
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Use qualities are sought after in interaction design and increasingly reachable given the new developments in tangible, ubiquitous and embodied interactions. But are they really obtainable regardless of what approach one chooses. This thesis explores how use qualities can be reached by Organic Interaction Design and in doing so it also provides a primer for what this concept entails: A concept which demands a high level of intuitivity in the designs of new media and new interaction trajectories. It is implemented here in a case of an interactive table complete with tangible interactions. This thesis provides examples of how use qualities such as immersion, playability and even vulnerability are reached not via e.g. system transparency but rather via a mimicry of the tacit cues of biological systems occurring in the natural world. The interaction design need be thoughtful and holistic for such endeavors.
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Borglund, Erik. "A predictive model for attaining quality in recordkeeping." Licentiate thesis, Mid Sweden University, Department of Information Technology and Media, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42.
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Records are a subset of information and recordkeeping requirements demand that a record is managed with maintained authenticity and reliability, i.e. with high quality. Records are evidence of transactions and are used and managed in daily work processes. Records may be preserved for anything from milliseconds to eternity. With computer based information systems the electronic record was born: a record that is born digital. With electronic records problems regarding maintenance of authenticity and reliability have been identified. Electronic records are no longer physical entities as traditional records were. An electronic record is a logical entity that can be spread over different locations in a computer based information system. In this research the aim is to improve the possibility of reaching high quality in recordkeeping systems, i.e. to maintain reliability and authenticity of electronic records, which is necessary if electronic records are to be usable as evidence of transactions. Based on case studies and literature studies, a recordkeeping quality model is presented: a predictive model for attaining quality in recordkeeping. The recordkeeping quality model consists of four major concepts which are interrelated with each other: Electronic records, Records use, Electronic record quality, and Multidimensional perspective. The model is proposed for use when designing and developing computer based information systems which are required to be recordkeeping, systems which manage electronic records. In this research two results beside the recordkeeping quality model are emphasized. The first is that quality in recordkeeping must be seen in a multidimensional perspective, and the second is that recordkeeping systems are information systems with a partially unknown purpose.
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Napoleon, Karen J. "Improvement in productivity and quality from information technology-worker systems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/30380.
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Hristova, Diana [Verfasser], and Bernd [Akademischer Betreuer] Heinrich. "Quantitative Approaches for Modeling Information Quality in Information Systems / Diana Hristova. Betreuer: Bernd Heinrich." Regensburg : Universitätsbibliothek Regensburg, 2016. http://d-nb.info/1095233343/34.
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Rossi, Pablo Hernan, and pablo@cs rmit edu au. "Software design measures for distributed enterprise Information systems." RMIT University. Computer Science and Information Technology, 2004. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20081211.164307.
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Enterprise information systems are increasingly being developed as distributed information systems. Quality attributes of distributed information systems, as in the centralised case, should be evaluated as early and as accurately as possible in the software engineering process. In particular, software measures associated with quality attributes of such systems should consider the characteristics of modern distributed technologies. Early design decisions have a deep impact on the implementation of distributed enterprise information systems and thus, on the ultimate quality of the software as an operational entity. Due to the fact that the distributed-software engineering process affords software engineers a number of design alternatives, it is important to develop tools and guidelines that can be used to assess and compare design artefacts quantitatively. This dissertation makes a contribution to the field of Software Engineering by proposing and evaluating software design measures for distributed enterprise information systems. In previous research, measures developed for distributed software have been focused in code attributes, and thus, only provide feedback towards the end of the software engineering process. In contrast, this thesis proposes a number of specific design measures that provide quantitative information before the implementation. These measures capture attributes of the structure and behaviour of distributed information systems that are deemed important to assess their quality attributes, based on the analysis of the problem domain. The measures were evaluated theoretically and empirically as part of a well defined methodology. On the one hand, we have followed a formal framework based on the theory of measurement, in order to carry out the theoretical validation of the proposed measures. On the other hand, the suitability of the measures, to be used as indicators of quality attributes, was evaluated empirically with a robust statistical technique for exploratory research. The data sets analysed were gathered after running several experiments and replications with a distributed enterprise information system. The results of the empirical evaluation show that most of the proposed measures are correlated to the quality attributes of interest, and that most of these measures may be used, individually or in combination, for the estimation of these quality attributes-namely efficiency, reliability and maintainability. The design of a distributed information system is modelled as a combination of its structure, which reflects static characteristics, and its behaviour, which captures complementary dynamic aspects. The behavioural measures showed slightly better individual and combined results than the structural measures in the experimentation. This was in line with our expectations, since the measures were evaluated as indicators of non-functional quality attributes of the operational system. On the other hand, the structural measures provide useful feedback that is available earlier in the software engineering process. Finally, we developed a prototype application to collect the proposed measures automatically and examined typical real-world scenarios where the measures may be used to make design decisions as part of the software engineering process.
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Chong, Hyonsong. "IS-MBNQA: A new framework for the relationship between Information Systems and organizational quality." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc3060/.
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Despite numerous frameworks and models proposed in the literature, Information Systems (IS) assessment still remains elusive. In addition, little agreement exists on the contribution of the IS function within an organization and on how IS is related to the other organizational dimensions. Frameworks that show the relationship between IS and the organization are in the developmental stage and this work proposes a more comprehensive framework to assist in better understanding the relationship between IS and organizational quality. This research examines two popular IS quality assessment frameworks - Malcolm Baldrige National Quality Award (MBNQA) and Information Systems Assessment (ISA) - and suggests a new framework, IS-MBNQA. This work integrates these two IS quality assessment frameworks into a single comprehensive model that provides a holistic view on how IS quality is interrelated to organizational quality. The existing two IS assessment frameworks attempted to measure IS quality at different levels within an organization. The MBNQA model is the most comprehensive quality framework because it takes an organization wide perspective. On the other hand, ISA employs an IS specific perspective and reflects the relationships of eight major IS success dimensions. ISA is a modified version of DeLone & McLean's model with the inclusion of a success factor for Service Quality. For this study, survey instruments are developed from the MBNQA and ISA frameworks and they are consolidated to allow testing of the single IS-MBNQA framework. Exploratory factor analysis is performed for instrument refinement and confirmatory factor analysis for validity of the models. The instruments developed in this work are utilized as a foundation for identifying the relationships among the dimensions within and between each model. A major contribution of this work is the validation of the 2000 MBNQA model and the extension of existing models/frameworks to better explain the IS contribution to an organization.
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Frank, Tyler. "KidsPeace New England action research quality of information systems customer service /." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/TFrank2006.pdf.
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Fu, R. "The quality of probabilistic search in unstructured distributed information retrieval systems." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1370031/.
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Searching the web is critical to the Web's success. However, the frequency of searches together with the size of the index prohibit a single computer being able to cope with the computational load. Consequently, a variety of distributed architectures have been proposed. Commercial search engines such as Google, usually use an architecture where the the index is distributed but centrally managed over a number of disjoint partitions. This centralized architecture has a high capital and operating cost that presents a significant barrier preventing any new competitor from entering the search market. The dominance of a few Web search giants brings concerns about the objectivity of search results and the privacy of the user. A promising solution to eliminate the high cost of entry is to conduct the search on a peer-to-peer (P2P) architecture. Peer-to-peer architectures offer a more geographically dispersed arrangement of machines that are not centrally managed. This has the benefit of not requiring an expensive centralized server facility. However, the lack of a centralized management can complicate the communication process. And the storage and computational capabilities of peers may be much less than for nodes in a commercial search engine. P2P architectures are commonly categorized into two broad classes, structured and unstructured. Structured architectures guarantee that the entire index is searched for a query, but suffer high communication cost during retrieval and maintenance. In comparison, unstructured architectures do not guarantee the entire index is searched, but require less maintenance cost and are more robust to attacks. In this thesis we study the quality of the probabilistic search in an unstructured distributed network since such a network has potential for developing a low cost and robust large scale information retrieval system. Search in an unstructured distributed network is a challenge, since a single machine normally can only store a subset of documents, and a query is only sent to a subset of machines, due to limitations on computational and communication resources. Thus, IR systems built on such network do not guarantee that a query finds the required documents in the collection, and the search has to be probabilistic and non-deterministic. The search quality is measured by a new metric called accuracy, defined as the fraction of documents retrieved by a constrained, probabilistic search compared with those that would have been retrieved by an exhaustive search. We propose a mathematical framework for modeling search in an unstructured distributed network, and present a non-deterministic distributed search architecture called Probably Approximately Correct (PAC) search, We provide formulas to estimate the search quality based on different system parameters, and show that PAC can achieve good performance when using the same amount of resources of a centrally managed deterministic distributed information retrieval system. We also study the effects of node selection in a centralized PAC architecture. We theoretically and empirically analyze the search performance across query iterations, and show that the search accuracy can be improved by caching good performing nodes in a centralized PAC architecture. Experiments on a real document collection and query log support our analysis. We then investigate the effects of different document replication policies in a PAC IR system. We show that the traditional square-root replication policy is not optimum for maximizing accuracy, and give an optimality criterion for accuracy. A non-uniform distribution of documents improves the retrieval performance of popular documents at the expense of less popular documents. To compensate for this, we propose a hybrid replication policy consisting of a combination of uniform and non-uniform distributions. Theoretical and experimental results show that such an arrangement significantly improves the accuracy of less popular documents at the expense of only a small degradation in accuracy averaged over all queries. We finally explore the effects of query caching in the PAC architecture. We empirically analyze the search performance of queries being issued from a query log, and show that the search accuracy can be improved by caching the top-k documents on each node. Simulations on a real document collection and query log support our analysis.
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Murthy, Sindhu Dharani. "Ikriya: Simulating Software Quality Enhancement With Selected Replacement Policies." TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1247.
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The quality of information systems in any organization helps to determine theefficiency of the organization. Many organizations maintain a custom software portfolio, whose quality is important to the organization. Management would like to optimize the portfolio’s quality. Decisions about software replacement or enhancement are made based on organizational needs and priorities. The development resources allocated help in determining the quality of new software, and should be put to optimal use. Enhancing existing software might sound cheap and easy but it is not always efficient. This thesis proposes a simulation model - iKriya - for this problem. It explores the consequences of various development and maintenance policies which might be applied.These depend on the state of existing software portfolio, the queue and properties of proposed projects, and the resources available. Optimal decisions are made by the simulator by taking the above mentioned factors into consideration.
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Mwita, Nyamoni David, and Jimmy Johansson. "Indicators and Implications for Information Quality Management Improvements : A case study within AGA Specialty Gas division." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19049.
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The two largest resources companies have today are knowledge workers and information. Therefore, it is important for companies to focus efforts on providing information users with the best possible quality of information to ensure that knowledge can perform tasks efficiently and effectively. The first task of this study was to figure out if the case division had any information quality problems; this was because our case division did not know if they had any information quality problems and thereby asked the researchers to start from a blank page. Therefore, the focus of this research was to investigate the level of infor-mation quality management implementation as well as knowledge workers’ perception re-garding information product within the company. By using the characteristics of IQMM the researchers were able to find implications and indicators for information quality man-agement at AGA Specialty Gas division. The researchers decided that the nature of the problem was to investigate the current situation within our case company. An inductive approach was the best solution with a philosophical stand point of interpretation to tackle the problem. The collection of data was done in a multi-method approach in which qualita-tive data was gathered from semi-structured face-to-face interviews while quantitative data was gathered by the use of a questionnaire. This data was then interpreted in a narrative style in which the researchers told what was going on and what it implies for the case com-pany by using relevant theories. The analysis illustrates some interesting findings regarding indications and implications for information quality management implementation, as well as the difficulties in assessing the level of information quality maturity level. The results show that there are some limitations towards the use of a linear information maturity mod-el which makes it hard to assess the level of maturity in this study. The contribution in this research study is both practically and academically sound.
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Alkhouli, Samer. "The Impact of Bank Website Service Quality on Customer Satisfaction: An Empirical Study on Swedish Banks." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-61115.
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Attah, Aloysius. "The Relationship Between Information Quality and Construction Safety." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6713.
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Fatal occupational injury is a construction and management problem in the United States. Fatality rates among specialty trade contractors made up the largest percent of fatalities in construction at 62% per year. The purpose of this nonexperimental study was to examine the relationship between the quality of information in construction safety plans and construction safety among specialty trade contractors. The theoretical foundations for the study were Petersen's accident/incident theory and work systems theory. The key research question was to examine the relationship between information quality and construction safety among specialty trade contractors. A survey with closed-ended questions was used to collect primary data from a self-selection sample of 134 specialty trade contractors in the United States. Spearman rank correlation coefficient (rs) was used to measure the strength of the relationship between information quality and construction safety. Results indicated that the quality of information in construction safety plans (measured by the relevance, accuracy, timeliness, and completeness of information) did not have any statistically significant relationships with construction safety among U.S. specialty trade contractors. Further research is needed to understand if the variables used in this study are relevant predictors for construction safety. This study connects with positive social change by bringing into focus quality information systems research required to improve safety among U.S. specialty trade contractors and provide safety professionals a direction for continuous safety improvement in the U.S. construction industry, thus benefitting construction stake holders.
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Yang, Ting Surveying & Spatial Information Systems Faculty of Engineering UNSW. "VISUALISATION OF SPATIAL DATA QUALITY FOR DISTRIBUTED GIS." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2007. http://handle.unsw.edu.au/1959.4/27434.
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Nowadays a substantial trend occurs that vast amounts of geospatial data are supplied, managed, and processed over distributed GIS. It is important to provide users with the capability of visualising spatial data quality information in a meaningful way for distributed GIS, since it will significantly enhance user understanding of data quality and aid them in assessing the data fitness for their application requirements. This thesis investigates the issue of visualisation of spatial data quality for distributed GIS. Based on a review of core concepts associated with spatial data quality, metadata standards, and major research areas related to data quality, the limitations of current data quality presentation are highlighted. To overcome some of these limitations, the research topic of this thesis is proposed, namely, adding visualisation functionality to the presentation of spatial data quality to convey uncertainty information to users in an interactive and graphical manner. Based on a review of the theories on visualisation and the frameworks developed for visualisation of spatial data quality in literature, an extended framework is developed incorporating several aspects of visualisation such as contexts, contents, and techniques, where the hierarchical nature of data quality and error models are two main parts of the visualisation contents. A brief framework of visualisation of spatial data quality for distributed GIS is proposed, where data storage with quality information and web services for visualising data quality are two key components. To satisfy a series of requirements for representing spatial data quality, a new object-oriented data model is proposed based on the review of developments of data models. This data model can specifically deal with the hierarchical nature of data quality and error propagation, recognising data quality as a dynamic process. Further, The implementation of the data model using GML and SVG is discussed. The details of a web service for visualising spatial data quality are addressed. After proposing the requirements on building a system for spatial data quality visualisation for distributed GIS, the design of a prototype visualisation system for distributed GIS is addressed in detail. The prototype visualisation system for spatial data quality is developed and implemented with an example data set, where SVG and JavaScript are used to illustrate how various graphic methods such as animation, data quality filters, and colour gradients can be used for distributed GIS. In addition to the visualisation of positional accuracy at the feature level, in this pilot system, the hierarchical structure of data quality information is also presented. Limitations of the research in this thesis are also addressed. However, in general, this research is of great significance for the contributions made to a relatively new research area in terms of theories, procedures, and software developments.
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Saripalli, Phani. "Decision support material to incorporate quality requirements technologies: a systematic literature review and industrial interviews." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11804.
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AbstractBackground: In an applied engineering field like requirements engineering, the final goal of the research is its adoption by industry. For technology transfer to be possible practitioners need strong evidence for a technologys applicability and possible benefits. Therefore research on a technology should be done in a realistic setting so that practitioners can use the results to build a strong case for its adoption. Quality requirements are constraints placed on the software. Empirical results show challenges in handling quality requirements, e.g. include late discovery of quality requirements. In addition, we lack technologies that can be used to incorporate them into the final software. Functional and quality requirements differ in nature; treatment given to functional requirements will not always be applicable for quality requirements. Therefore practitioners need decision support material based on empirical evidence to incorporate the suggested technologies.Objective: The purpose of the thesis is to identify technologies for quality requirements that have been empirically evaluated. Methods in relation to elicitation, specification, metrics (or measurement) and testing will be identified with the aim of providing decision support material to practitioners for incorporating quality requirements in the software. To find possible future directions of requirements engineering research, the current state of technology adoption for quality requirements will be identified. Method: The presented research is explorative and investigative in nature. A systematic literature review method was employed to identify potential technologies for adoption. An empirical study was conducted with three participants from three companies to get an insight into the state of technology adoption. Results: The systematic literature review includes 46 papers published between 2000 and 2010. All in all only four of the 46 papers offer high realism and support for technology adoption, i.e. presenting evaluations in a realistic setting, with practitioners using real world industrial applications. Another three papers were found to have potential in terms of furthering technology transfer. A general finding common for many of the papers reviewed is a lack of scientific rigour which affects the credibility of the results. Among the participants in the three companies interviewed, none of the methods presented were used. Conclusions: Technology transfer support for quality requirements technologies is challenged by low strength of evidence. Evaluations of technologies lack descriptions of evaluation design - description of how evaluations have been performed - and validity. There is a need for more and better empirical evaluations of technologies to handle quality requirements. The results of industrial interviews shows the need for more empirical investigations, for example surveys, to identify current industrial practices and technologies able to handle or incorporate quality requirements in projects successfully.
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Maples, Glenn (Glenn Edward). "Information System Quality: An Examination of Service-Based Models and Alternatives." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc277952/.
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Service quality as a component of overall Information Systems quality is examined. Three related studies test the SERVQUAL and related instruments (SERVPERF and Importance-weighted SERVPERF) using Information System users. SERVPERF outperformed SERVQUAL in all three studies.
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Khalane, Tiisetso. "Software quality assurance in Scrum the need for concrete guidance on SQA strategies in meeting user expectations." Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/5670.
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Includes abstract.Includes abstract.
The purpose of this study is to identify and present the concerns of project stakeholders in relation to Software Quality Assurance (SQA) in a Scrum environment. Guided by the tenets of Classic Grounded Theory Methodology, this exploratory and inductive case study presents a broad range of SQA concepts related to the main concern of “Meeting User Expectations”. In trying to resolve the main concern, the Scrum project stakeholders alluded to lack of “Concrete Guidance” on SQA strategies, tools, and techniques in Scrum. The lack of concrete guidance in Scrum requires a development team to devise “Innovations” which may include “Adopting Practices” from other methodologies and carefully designing the “Process Structure” to accommodate the “Adopted Practices”, ensure “Continuous Improvement” of the process, and provide an environment for “Collaborative Ownership”. In addition to the “Need for Concrete Guidance”, the study reveals two other important concepts necessary for “Meeting User Expectations”: the “Need for Solid User Representation” and the “Need for Dedicated Testing”. While some Agile proponents claim that the Agile SQA practices are adequate on their own, the study reveals a number of challenges that impact on a team’s ability to meet user expectations when there is no dedicated tester in a Scrum environment.
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Saleh, Mehdi. "Built-in software quality in Agile development." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413344.
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Abstract Waterfall and Agile are the two most popular software development methodologies. Waterfall as the traditional one, is a progressive method. The progress flows in one direction, and upon the completion of previous process. Agile is another software development methodology with more iterative approach and possible change of requirements; with incremental delivery. Agile introduces freedom to requirement change and iterative delivery. However, such a liberty should not disrate software quality. Especially in automotive industry that deals with human safety and security. In such an iterative environment, there is a higher risk to compromise on quality checks before each delivery, due to short intense lead times. There will not be enough time for intensive quality assurance activities after each iteration. The solution to downsize the intensive quality check after each iteration, is to improve development quality during the development and building quality into development processes. This is what we refer as “Built-in quality”; the quality that is built during software artefacts development on a continuous basis. This study conducted at Volvo Cars during Agile transformation time and the main objective was to connect and emphasize the importance of built-in quality in agile software development. In this study we look at existing challenges that decrease quality of software artifacts during the development. Thus, by prevailing those challenges we can improve the software quality during iteration delivery. Such an improvement decreases the amount of intensive quality check after each iteration. Additionally, we look at guidelines and tools that used by different development teams to improve software artifacts’ quality. We also investigate how quality assurance engineer can support builtin quality during agile transformation.
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Beaton, Duncan. "Integration of data description and quality information using metadata for spatial data and spatial information systems." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321263.
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Els, Dierdre Jean. "A framework for managing timetable data quality within the NMMU." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/948.
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This dissertation investigates the influencing factors on timetable quality, not only from a data quality perspective, but also from an information quality perspective which takes into account the quality of the business processes involved in creating the timetable. The Nelson Mandela Metropolitan University was used as a case study for assessing the quality of the timetable process, the quality of the source data, and the quality of the final timetable produced. A framework for managing the data quality during the timetabling process is proposed. The framework is based on reviews done on data quality management best practices and data quality aspects. Chapter 1 introduces the current Nelson Mandela Metropolitan University timetable, and motivates why data quality management is essential to its success. The scope and research objectives are presented for this dissertation. Chapter 2 covers a literature study on business process and data quality management best practices. The common thread through all the management methodologies investigated, was top management involvement and commitment to continuously improving the quality of data. Chapter 3 discusses various characteristics of data quality. Quality is determined to be whether the end result meets the quality requirements for which it was intended. Hence each system could have quality aspects that are unique to it. Chapter 4 explains various research designs and which were followed for this dissertation. The combination of literature studies, a questionnaire and a case study were used. Chapter 5 is a case study of the data quality and timetabling processes used at the Nelson Mandela Metropolitan University and is based on the research design described in chapter 4. The current business processes followed in setting up the current timetable are presented, as well as the proposed timetabling process that should produce a better quality timetable for the Nelson Mandela Metropolitan 4 University. The data quality aspects most pertinent to the Nelson Mandela Metropolitan University are determined, being timeliness, accountability, integrity and consistency, as well as the most probable causes for bad timetable quality, like uniform technology, processes, ownership and using a common terminology. Chapter 6 presents a framework for managing timetable data quality at the Nelson Mandela Metropolitan University using an Information Product Map approach that will ensure a better quality timetable. Future research is also proposed. It is evident from this dissertation that data quality of source data as well as the quality of the business process involved is essential for producing a timetable that satisfies the requirements for which it was intended. The management framework proposed for the Nelson Mandela Metropolitan University timetabling process can potentially be used at other institutions as well.
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Ralphs, Martin P. "Towards the evaluation and management of spatial data quality." Thesis, University of East London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282737.
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Didan, Kamel. "Prototype geographic information system for agricultural water quality management." Diss., The University of Arizona, 1999. http://ezproxy.library.arizona.edu/login?url=.
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Cederlöv, Joakim, and Elinore Hagman. "Software quality characteristics and where to find them : A qualitative study of how developers in Örebro work with design quality." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-89800.
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Alias, Rose Alinda. "A multiple perspectives exploration of information systems quality in a Malaysian context." Thesis, University of Salford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289884.
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April, Graham. "Dimensions for evaluating information systems service quality expectations of e-Commerce SMMEs." Thesis, Cape Peninsula University of Technology, 2007. http://hdl.handle.net/20.500.11838/1378.
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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2007With growing invesbnent in WWW technologies bye-Commerce businesses the measurement of Information Systems (IS) effectiveness in this area has become increasingly important over the last decade. As business users have become reliant on outsourced IS service providers for a wide range of services, the quality of service rendered by the latter is an important issue which impacts on IS effectiveness. Researchers have for many years recognised the importance of service quality as a measure of IS performance. Service quality measurement tools such as SERVQUAL from the marketing field, have been proven to be applicable to the IS domain. However, empirical studies in this regard are concentrated in the context of large, non- eCommerce organisations only. In South Africa, e-Commerce has been recognised as an important driver for growth in SMMEs. The literature suggests that IS service delivery to eCommerce businesses needs to be evaluated differently to that of traditional brick-and-mortar businesses. There is however a paucity of research regarding IS evaluation in e-Commerce environments, including that of the application of service quality principles. It is thus difficult for managers of IS service providers in this context to develop a complete picture of the effectiveness of the IS they deliver. Furthermore, because e-Commerce SMMEs are almost wholly reliant on these service providers for the supply of IS and support, their service expectations could be different from those in traditional businesses. The primary objective of this research was to investigate whether IS service quality criteria applied in large traditional businesses, are also applicable to SMME e-Commerce businesses. The applicability of a service quality measurement instrument, based on SERVQUAL, was tested in an ev Commerce SMME context. Specifically, this instrument measures the service quality expectations that e-Commerce SMMEs have of IS service providers. A SERVQUAL measurement scale from a recent MISQ paper was adapted and used to collect data concerning service quality expectations of e· Commerce SMMEs. Using a structured survey method, the research was delineated to e-Commerce enabled bed-and-breakfast and self-catering accommodation businesses in the Western Cape, South Africa. The research results indicate that, although SERVQUAL principles were applicable to the e-Commerce SMME context, the service quality dimensionality was different. There are four derived dimensions for service quality expectations of e-Commerce SMMEs in this research, viz., Credibility, Expertise, Availability and Supportiveness. A fifth dimension is the Tangibles dimension, which is retained from SERVQUAL. Furthermore the results indicate that the Credibility was the most important dimension in this research context, while the Tangibles dimension was the least important.
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Chrystie, Jeanetta R. "A Model for Applying Total Quality Management in Computer Information Systems Management." NSUWorks, 1998. http://nsuworks.nova.edu/gscis_etd/454.
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Total Quality Management addressed the importance of an organization listening to its customers and taking a structured, strategic approach to providing improved products and services. Problems were no stranger to most information systems departments. Software quality problems, work backlogs, negative user perceptions of IS; all pointed to a need for total quality management concepts and techniques to be applied in the processes and to the products of an IS department. TQM provided the tools and techniques necessary to bring continuous quality improvements in IS.
In this study, the researcher conducted literature searches on Total Quality Management, its history and development, leading proponents, quality basics, and quality awards. TQM's use of baselines and benchmarking was presented. The appropriate use of each of TQM's seven problem-solving tools, quality function deployment, and the seven management and planning tools was explained. Future trends in TQM were also documented.
A TQM literature search on customer identification, including employees and vendors was reviewed. Literature research on determining customer needs and prioritizing those needs was presented. Extensive research on the need for customer surveys, the development of accurate survey instruments, and validating and testing a survey was covered. TQM's emphasis on customer service and employee involvement was applied toward creating a model for implementing TQM in the IS department of an organization. A search of the literature for applications and case studies on additional IS management issues, the use of TQM in academia, and relevant TQM studies provided additional problem-solving information.
Through incorporating TQM principles into IS management practices, a new strategic TQMIS (Total Quality Management Information Systems) conceptual framework was developed, based on further literature searches on model creation and validation. A customer survey was designed and piloted to provide example baseline and benchmarking information. The customer surveys provided totals for both customer perceptions of the service levels they received and the customer-defined relative importance of these items. An IS problem list was created from the survey data, demonstrating that process. In this study, the researcher accomplished her aims of creating the TQMIS conceptual framework and a pilot survey example for beginning a TQMIS effort.
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Biscobing, Scott. "Maintaining a quality curriculum in information technology at Nicolet Area Technical College using the Wisconsin Technical College Systems quality review process." Menomonie, WI : University of Wisconsin--Stout, 2006. http://www.uwstout.edu/lib/thesis/2006/2006biscobings.pdf.
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Hoover, Mark A. "Analysis of water quality in Lake Erie using GIS methods." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177438679.
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