Relevant bibliographies by topics / Information systems Quality

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Information systems Quality'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Information systems Quality"

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Menkus, Belden. "Information Systems Quality Assurance Enhances Information Systems Security." EDPACS 17, no. 12 (June 1990): 6–10. http://dx.doi.org/10.1080/07366989009450603.

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Nelson, Klara G. "Global Information Systems Quality." Journal of Global Information Management 4, no. 4 (October 1996): 4–15. http://dx.doi.org/10.4018/jgim.1996100101.

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Andersson, Thorbjorn, and Liisa A. von Hellens. "Information systems work quality." Information and Software Technology 39, no. 12 (January 1997): 837–44. http://dx.doi.org/10.1016/s0950-5849(97)00042-6.

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Andersson, Thorbjorn, and Liisa A. von Hellens. "Information systems work quality." Computer Standards & Interfaces 21, no. 2 (June 1999): 166. http://dx.doi.org/10.1016/s0920-5489(99)92179-7.

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Wilson, Cathleen Krueger. "Quality-driven information systems." Journal of Nursing Care Quality 7, no. 1 (October 1992): 7–15. http://dx.doi.org/10.1097/00001786-199210000-00004.

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Prior, Derek. "Quality control information systems." Quality and Reliability Engineering International 1, no. 4 (October 1985): 227–34. http://dx.doi.org/10.1002/qre.4680010404.

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Forza, C. "Quality information systems and quality management." Industrial Management & Data Systems 95, no. 2 (March 1995): 6–14. http://dx.doi.org/10.1108/02635579510082502.

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Havelka, Douglas, Steve G. Sutton, and Vicky Arnold. "Information Systems Quality Assurance: Users Perceptions Of Information Systems And Systems Design Quality Factors." Review of Business Information Systems (RBIS) 5, no. 2 (April 1, 2001): 49–62. http://dx.doi.org/10.19030/rbis.v5i2.5350.

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With the emergence of information systems reliability and quality assurance and its perceived revenue generation in the billions of dollars, the accounting profession has developed a keen interest in improving the understanding of the underlying factors affecting information quality. This paper expands the Havelka et al. (1999) study, which explored the key quality factors impacting the information requirements definition stage of the systems development process. The extensions explored within the current paper focus on the relationship between users perceptions toward information systems and key quality factors for systems design. In particular, user involvement and user satisfaction are examined for their potential impact on the weightings of quality factors. The results indicate that users perceptions toward information systems do influence their perceptions of the importance of the key quality factors for systems design. This result may allow practitioners to tailor a project management strategy for IS development based on targeted users current perceptions of information systems.
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Flores, Javier, and Jun Sun. "Information Quality Awareness and Information Quality Practice." Journal of Data and Information Quality 10, no. 1 (May 30, 2018): 1–18. http://dx.doi.org/10.1145/3182182.

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Zoto, Erjon. "Data quality and accounting information systems: Actual performance in Albania." Perspectives of Innovations, Economics and Business 14, no. 1 (February 6, 2014): 34–41. http://dx.doi.org/10.15208/pieb.2014.04.

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Dissertations / Theses on the topic "Information systems Quality"

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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.
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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.
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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.
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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.

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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.

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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.
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Books on the topic "Information systems Quality"

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Zahedi, Fatemeh. Quality information systems. Danvers, Mass: Boyd & Fraser, 1995.

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Quality information systems. Danvers, Mass: Boyd & Fraser Pub. Co., 1995.

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Kirkham, John A. Quality management systems in information systems development. Salford: University of Salford Information Technology Institute, 1995.

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Information quality management. Oxford: NCC Blackwell, 1994.

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Total Quality in Information Systems and Technology. Delray Beach, USA: St. Lucie Press, 1997.

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Spohrer, Kai. Collaborative Quality Assurance in Information Systems Development. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25163-9.

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W, Lee Yang, and Wang Richard Y, eds. Quality information and knowledge. Upper Saddle River, N.J: Prentice Hall PTR, 1999.

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Xin xi zhi liang: Information Quality. Beijing Shi: Guo fang gong ye chu ban she, 2013.

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Vidgen, Richard. A multiple perspective approach to information systems quality. Salford: University of Salford, 1996.

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Naumann, Felix, ed. Quality-Driven Query Answering for Integrated Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45921-9.

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Book chapters on the topic "Information systems Quality"

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Beynon-Davies, Paul. "Quality Assurance." In Information Systems Development, 343–50. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14931-5_36.

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Pipino, Leo L. "Information Quality Assessment." In Encyclopedia of Database Systems, 1955–58. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_496.

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Pipino, Leo L. "Information Quality Assessment." In Encyclopedia of Database Systems, 1512–15. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_496.

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Pipino, Leo L. "Information Quality Assessment." In Encyclopedia of Database Systems, 1–4. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_496-2.

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Viscusi, Gianluigi, Carlo Batini, and Massimo Mecella. "Quality Assessment." In Information Systems for eGovernment, 127–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13571-2_7.

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Escalona, M. J., J. J. Gutiérrez, M. Pérez-Pérez, A. Molina, E. Domínguez-Mayo, and F. J. Domínguez-Mayo. "Measuring the Quality of Model-Driven Projects with NDT-Quality." In Information Systems Development, 307–17. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7355-9_26.

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Winter, Alfred, Reinhold Haux, Elske Ammenwerth, Birgit Brigl, Nils Hellrung, and Franziska Jahn. "Quality of Health Information Systems." In Health Information Systems, 201–36. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-441-8_8.

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Batini, Carlo, and Monica Scannapieco. "Introduction to Information Quality." In Data-Centric Systems and Applications, 1–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24106-7_1.

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Batini, Carlo, and Monica Scannapieco. "Information Quality in Use." In Data-Centric Systems and Applications, 309–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24106-7_11.

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Cabitza, Federico, and Carlo Batini. "Information Quality in Healthcare." In Data-Centric Systems and Applications, 403–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24106-7_13.

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Conference papers on the topic "Information systems Quality"

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Georges, Marcos Ricardo Rosa. "INFORMATION SYSTEMS AND QUALITY MANAGEMENT SYSTEMS." In 11th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2014. http://dx.doi.org/10.5748/9788599693100-11contecsi/comm-866.

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Viriansky, Zalman Ya, and Sergey O. Shaposhnikov. "Quality Assurance of Quality Management Systems." In 2019 International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). IEEE, 2019. http://dx.doi.org/10.1109/itqmis.2019.8928299.

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Yoruk, Suleyman, and Sami Ercan. "Service Quality of Information Systems." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320694.

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Ramadhan, Yanuar. "Determinants of Management Accounting Information Systems Quality on Management Accounting Information Quality." In Proceedings of the International Conference on Business, Economic, Social Science and Humanities (ICOBEST 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icobest-18.2018.28.

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Khalil, Omar E. M. "Information systems and total quality management." In the 1994 computer personnel research conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/186281.186318.

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Tonta, Yaşar, and İrem Soydal. "Service Quality of Web Information Systems." In Proceedings of the International Conference on QQML2009. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814299701_0049.

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"Quality management systems. International integrated systems of quality management for information systems. Implementation, certification, auditing." In 2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS). IEEE, 2017. http://dx.doi.org/10.1109/itmqis.2017.8085847.

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Alzoabi, Zaidoun, Faek Diko, and Mouhib Alnoukari. "Enhancing education quality assurance using information systems: QAAS system." In 2008 International Symposium on Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/itsim.2008.4631579.

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Schewe, Klaus-Dieter, Jane Zhao, and Bernhard Thalheim. "Quality Assurance in Web Information Systems Development." In Seventh International Conference on Quality Software (QSIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/qsic.2007.4385498.

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Gusman, Yu A., and Yu A. Pichugin. "INFORMATION ORDERING OF DATA AT THE PRESENCE OF UNSTABLE SOURCES OF INFORMATION." In Modeling and situational quality management of complex systems. Saint-Petersburg State University of Aerospace Instrumentation, 2020. http://dx.doi.org/10.31799/978-5-8088-1449-3-2020-1-28-31.

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Reports on the topic "Information systems Quality"

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Fishler, B. NIF Projects Controls and Information Systems Software Quality Assurance Plan. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1022145.

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Suhartono, Suhartono, Agoes Soegianto, and Achmad Amzeri. Mapping of land potentially for maize plant in Madura Island-Indonesia using remote sensing data and geographic information systems (GIS). EM International, November 2020. http://dx.doi.org/10.21107/amzeri.2020.1.

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Maize productivity in Indonesia was still low (5.241 tons/ha) compared to the average of the ten largest maize producing countries in the world (6.179 tons/ha). The potential for maize on the island of Madura is approximately 360,000 hectares. The potential for maize cultivation in Madura continues to decrease in land quality due to improper land clearing and land-use change. The purpose of this research was to make a map of land suitability for maize using Remote Sensing Data and Geographic Information System (GIS). The land suitability method for maize plants used satellite imagery as a data source, supported by fieldwork and secondary data. Data analysis using Geographic Information Systems (GIS). The results of the analysis of land suitability modeling based on agroecosystem potential found that most of the Madura area was suitable for maize cultivation. Madura island had a land area of 456,622.3ha for maize cultivation, where 170.379.5 (15.4%) was very appropriate, 211.412.3 ha (46.3%) was appropriate, 160,098.6 (35.1%) was less appropriate, and 14,732.0 ha (3.2%) was not appropriate.
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Johnson, Eric M., Robert Urquhart, and Maggie O'Neil. The Importance of Geospatial Data to Labor Market Information. RTI Press, June 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0017.1806.

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School-to-work transition data are an important component of labor market information systems (LMIS). Policy makers, researchers, and education providers benefit from knowing how long it takes work-seekers to find employment, how and where they search for employment, the quality of employment obtained, and how steady it is over time. In less-developed countries, these data are poorly collected, or not collected at all, a situation the International Labour Organization and other donors have attempted to change. However, LMIS reform efforts typically miss a critical part of the picture—the geospatial aspects of these transitions. Few LMIS systems fully consider or integrate geospatial school-to-work transition information, ignoring data critical to understanding and supporting successful and sustainable employment: employer locations; transportation infrastructure; commute time, distance, and cost; location of employment services; and other geographic barriers to employment. We provide recently collected geospatial school-to-work transition data from South Africa and Kenya to demonstrate the importance of these data and their implications for labor market and urban development policy.
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DEFENSE ENERGY SUPPORT CENTER FORT BELVOIR VA. Petroleum Quality Information System Jet Fuels Data. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada362332.

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DLA ENERGY FORT BELVOIR VA. Petroleum Quality Information System 2012 Annual Report. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada620063.

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Martin, Douglas, and Patricia Wilkins. Petroleum Quality Information System (PQIS) 2011 Annual Report. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada635643.

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Carter, R. J. Parking and routing information system phase 1 evaluation -- Data management and quality control/quality assurance plans. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/654092.

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Schreck, R. I. Hanford Environmental Information System (HEIS). Volume 9, Field Quality Control subject area. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10169488.

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Peterson, B. L., and A. S. Lundeen. Waste Management facilities cost information: System Cost Model Software Quality Assurance Plan. Revision 2. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/214309.

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Foster, M. Integrated Information Support System (IISS). Volume 3. Configuration Management. Part 1. Quality Assurance Plan. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada250105.

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