Relevant bibliographies by topics / Information Quality

Academic literature on the topic 'Information Quality'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Information Quality"

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Ali, Basel J. A. "Information Quality and Data Quality in Accounting Information System: Implications on the Organization Performance." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 3258–69. http://dx.doi.org/10.37200/ijpr/v24i5/pr202034.

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Clancy, Carolyn M. "From Information on Quality to Quality Information." Health Services Research 39, no. 6p1 (December 2004): 1631–34. http://dx.doi.org/10.1111/j.1475-6773.2004.00309.x.

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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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English, Larry P. "Information Quality." Journal of Database Management 16, no. 1 (January 2005): 18–32. http://dx.doi.org/10.4018/jdm.2005010102.

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Salaün, Yvette, and Karine Flores. "Information quality:." International Journal of Information Management 21, no. 1 (February 2001): 21–37. http://dx.doi.org/10.1016/s0268-4012(00)00048-7.

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Floridi, Luciano. "Information Quality." Philosophy & Technology 26, no. 1 (February 15, 2013): 1–6. http://dx.doi.org/10.1007/s13347-013-0101-3.

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Wang, Shouhong, and Hai Wang. "Information quality chain analysis for total information quality management." International Journal of Information Quality 2, no. 1 (2008): 4. http://dx.doi.org/10.1504/ijiq.2008.019560.

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Fedorowicz, Jane, and Yang W. Lee. "Accounting Information Quality." Review of Business Information Systems (RBIS) 3, no. 1 (January 1, 1999): 1–8. http://dx.doi.org/10.19030/rbis.v3i1.5417.

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Kenett, Ron S., and Galit Shmueli. "On information quality." Journal of the Royal Statistical Society: Series A (Statistics in Society) 177, no. 1 (February 7, 2013): 3–38. http://dx.doi.org/10.1111/rssa.12007.

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Kahn, Beverly K., Diane M. Strong, and Richard Y. Wang. "Information quality benchmarks." Communications of the ACM 45, no. 4 (April 2002): 184–92. http://dx.doi.org/10.1145/505248.506007.

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Dissertations / Theses on the topic "Information Quality"

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Eriksson, Hanna. "Informationskvalitet : informationssökares syn på kvalitet = [Information quality] : [information seekers' evaluation of quality] /." Borås : Högsk. i Borås, Bibliotekshögskolan/Biblioteks- och informationsvetenskap, 2004. http://www.hb.se/bhs/slutversioner/2004/04-24.pdf.

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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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Svensson, Bolennarth. "Information theory in quality engineering." Thesis, University of Strathclyde, 1998. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=29903.

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This thesis presents the results of research into a universal theory for quality techniques. The unique contribution that is made is twofold: • A new quality metric is proposed; • An integrating perspective to quality engineering is introduced through the application of information theory. The quality metric is designed as an information distance, measuring the difference between two probability density functions. The two distributions are the actual outcome of a running process and the expected outcome, i.e. the target distribution. The target distribution makes it possible to integrate the quality losses into the metric. The metric may be adapted to the state of knowledge of the process studied. The new quality metric is applicable to any process, be it a product processor an administration process. The information distance metric makes the analysis procedures uniform for all types of quality characteristics. A function based process documentation makes information theory generally applicable to quality engineering. The function description makes it possible to visualize poor quality as a surplus of information. All quality techniques aim at minimizing the information content in the system. Quality engineering in general may be expressed as an activity to stop surplus information flow reaching the process result. There is a natural focus on noise, i.e. influencing factors that are out of control of the user, affecting the systems. This focus is in robust design developed through a process performance perspective rather than an experimental design perspective. An effort addressing a product process subject to improvement has to be discriminated from an effort addressing the efficiency of the experimentation process used to study the product process. The present work is of pioneering character. Thus it opens a new area of research. Areas of further research are indicated.
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Korn, Alexandra. "Information System Quality Assessment Methods." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193230.

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This thesis explores challenging topic of information system quality assessment and mainly process assessment. In this work the term Information System Quality is defined as well as different approaches in a quality definition for different domains of information systems are outlined. Main methods of process assessment are overviewed and their relationships are described. Process assessment methods are divided into two categories: ISO standards and best practices. The main objective of this work is application of gained theoretical knowledge in process assessment with CobiT 4.1 and CobiT 5.0 frameworks, and comparing results. The objective was achieved through consultation with processes owner and the completed questionnaires filled in by management of OnLine S.r.l. Additionally targeted level of capability in CobiT 5.0 is compared with actual, achieved level.
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Eshraghian, Farjam. "Information quality frames : an information product perspective and a socio-cognitive approach to perceiving quality of information in organisations." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28747.

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There has been much advancement in the field of data and information quality (DIQ) since two decades ago. However, despite a large number of the theoretical and empirical studies in this field, there is a lack of understanding about the mechanisms and dynamics of forming, adjusting and changing organisational users’ (information consumers) assumptions and expectations based on which they perceive the quality of information required for making decision in order to perform a task within an organisational environment. Although it is already known that information consumers perceive the quality of information according to the requirements of the organisational task and the context of use, how the task requirements affect information consumers’ expectations of information quality has been a black-box in the body of literature. The main objective of this research is to contribute to the literature of DIQ by exploring the role of the setting of a task within an organisational context in the formation, development and change of information consumers’ underlying expectations of information quality. Information consumers’ assumptions and expectations are called information quality (IQ) frames by this research. Moreover, this research examines the role of IT artefacts, which are used to support performing the task, in these dynamics. As an organisational task is usually performed by a group, the role of the task group of which information consumers are members is investigated by this research. Having adopted a multi-case study design, this thesis has targeted seven different task groups in seven different organisations from multiple industries. This in-depth qualitative research also employs interviews as the main source of data and documents as the secondary source of data. The collected data and empirical evidence is analysed using the thematic analysis and pattern coding. This study’s theoretical contributions to the body of literature are as follows. Firstly, the findings indicate that information consumers should not be simply categorised into domain-specific experts or novices for understanding the mechanisms that affect their IQ frames. Regarding the domain of the task, an information consumer might have domain-related experience that differentiates him from both an expert and a novice. Moreover, this study found that the organisational-specific experience plays a significant role in these dynamics. Secondly, four different settings of a task within an organisational context have been recognised and the insights have been provided into the likely impact of each setting on IQ frames. The findings show that the setting of a task that affects IQ frames is enforced by the interplay between the degree of situatedness of the task and the degree of its explicitness. Thirdly, this research contends that the role of other members of a task group contributes directly to the setting of a task rather than directly influencing their colleague’s IQ frames. Fourthly, this thesis confirms that the organisational resource limitations and the time pressure, which were already mentioned in the literature, affect how information consumers perceive the quality of information but the empirical evidence reveals that other types of pressure such as the pressure of a competitive market has a similar role, therefore, it is argued that in general the organisational pressure impacts the way information consumers perceive information quality. However, this thesis argues that this influence is mediated by the setting of a task. In other words, the organisational pressure can increase the degree of situatedness of a task within an organisational context. Finally, the findings of this study indicate that information consumers’ interpretation of how an IT artefact enables a task within an organisational context is the key mechanism through which the IT artefact can participate in forming, adjusting or changing their IQ frames. The interpreted type of an IT artefact, its interpreted capabilities, the organisational intervention and the IT support by IT technicians of an organisations are the main four factors that govern the influence of the IT artefact on information consumers’ IQ frames. In addition, the computing environment in which the IT artefact operates in, information consumers’ level of IT knowledge and prior experience of using the IT artefact can be involved indirectly in these dynamics. The theoretical contributions of this research have led to the development of a framework for IQ frames and the underlying dynamics have been explained in detail. In addition to the theoretical contributions, this study has a number of practical implications for organisations and management regarding the importance of the organisational settings in how information quality is judged by organisational users (information consumers).
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Brandt, Patrik. "Information in use : aspects of information quality in workflows /." Karlskrona : School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/Forskinfo.nsf/01f1d3898cbbd490c12568160037fb62/e7dea68ff7c42604c12572b10051f3e6!OpenDocument.

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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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Wort, Ralph George. "Integrated information system for quality control." Thesis, University of the West of England, Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283909.

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Baškarada, Saša. "Information quality management capability maturity model." Wiesbaden Vieweg + Teubner, 2008. http://d-nb.info/996641726/04.

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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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Books on the topic "Information Quality"

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Kenett, Ron S., and Galit Shmueli. Information Quality. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118890622.

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Eppler, Martin J. Managing Information Quality. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24782-1.

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Eppler, Martin J. Managing Information Quality. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32225-6.

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

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Association, Library, ed. Quality information file. London: Library Association, 1996.

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Information quality management. Oxford: NCC Blackwell, 1994.

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

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Batini, Carlo, and Monica Scannapieco. Data and Information Quality. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24106-7.

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Piattini, Mario G., Coral Calero, and Marcela Genero, eds. Information and Database Quality. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0831-1.

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1966-, Piattini Mario, Calero Coral 1968-, and Genero Marcela 1966-, eds. Information and database quality. Boston: Kluwer Academic Publishers, 2002.

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Book chapters on the topic "Information Quality"

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Su, Qi. "Information quality." In The Routledge Handbook of Chinese Applied Linguistics, 498–513. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781315625157-33.

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Colomb, Robert M. "Quality." In Information Spaces, 196–205. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0163-5_15.

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Pfeifer, Tilo. "Quality and Information." In Quality Management, 127–79. München: Carl Hanser Verlag GmbH & Co. KG, 2002. http://dx.doi.org/10.3139/9783446224025.003.

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Ingason, Helgi Thor. "Information and processes." In Quality Management, 113–31. 1 Edition. | New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781003003137-7.

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Pfeifer, Tilo. "Quality and Information." In Quality Management, 127–79. München, Germany: Carl Hanser Verlag GmbH & Co. KG, 2002. http://dx.doi.org/10.1007/978-3-446-22402-5_4.

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Cugnata, Federica, Silvia Salini, and Elena Siletti. "InfoQ support with R." In Information Quality, 265–94. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118890622.ch14.

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Grima, Pere, Lluis Marco-Almagro, and Xavier Tort-Martorell. "InfoQ support with Minitab." In Information Quality, 295–323. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118890622.ch15.

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Cox, Ian. "InfoQ support with JMP." In Information Quality, 324–50. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118890622.ch16.

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Wingkvist, Anna, Morgan Ericsson, Welf Löwe, and Rüdiger Lincke. "Information Quality Testing." In Lecture Notes in Business Information Processing, 14–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16101-8_2.

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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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Conference papers on the topic "Information Quality"

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Rogova, G. L., and E. Bosse. "Information quality in information fusion." In 2010 13th International Conference on Information Fusion (FUSION 2010). IEEE, 2010. http://dx.doi.org/10.1109/icif.2010.5711857.

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Liu, Qing, and Xuemin Lin. "Genomic Information Quality." In Proceedings of the DASFAA 2008 Workshops. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814273497_0001.

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Markov, Krassimir. "Quality of Information." In IS4SI 2021. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/proceedings2022081118.

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Benmoussa, Khaoula, Majida Laaziri, Samira Khoulji, Mohamed Larbi Kerkeb, and Abir El Yamami. "Impact of System Quality, Information Quality and Service Quality on the efficiency of information system." In SCA '18: 3rd International Conference on Smart City Applications. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3286606.3286818.

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Rosenfeld, Louis, Keith Instone, Shiraz Cupala, Jesse James Garrett, Marti Hearst, Gary Marchionini, and Nick Ragouzis. "Measuring information architecture quality." In CHI '01 extended abstracts. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/634067.634198.

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Rosenfeld, Louis, Keith Instone, Shiraz Cupala, Jesse James Garrett, Marti Hearst, Gary Marchionini, and Nick Ragouzis. "Measuring information architecture quality." In CHI '01 extended abstracts. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/634193.634198.

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Booth, Kayla M. "Teens and Information Quality." In SIGMIS-CPR '16: 2016 Computers and People Research Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2890602.2906190.

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Styrin, Evgeny, and Natalya Dmitrieva. "Information Services Quality Measurement." In EGOSE '15: Challenges in Eurasia. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2846012.2846023.

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Gell-Mann, Murray. "The quality of information." In ACM97: The Next 50 Years of Computing. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/2723279.2723296.

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Pavel, M., and H. A. Cunningham. "Quality of location information." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.thi3.

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Theoretical and empirical characterization of changes in performance with eccentricity is used to assess the availability of location information in the human visual system. We first examine conditions in which a single scaling function can be used to describe performance at various eccentricities. We then consider performance on two types of task: (1) detection of presence/absence of stimuli, and (2) Vernier acuity and discrimination of length.
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Reports on the topic "Information Quality"

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Liu, Peng. Measuring Quality of Information Assurance (QoIA). Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada419205.

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ARMY MATERIEL COMMAND ALEXANDRIA VA. A Guide for Soldiers: Quality Information for a Quality Force. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada349430.

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Bambery, James R. Development of Information Quality Engineering (IEQ) Methodology for Information Resource Management. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada210615.

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Snir, Y., Y. Ramberg, J. Strassner, R. Cohen, and B. Moore. Policy Quality of Service (QoS) Information Model. RFC Editor, November 2003. http://dx.doi.org/10.17487/rfc3644.

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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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Chan, K., R. Sahita, S. Hahn, and K. McCloghrie. Differentiated Services Quality of Service Policy Information Base. RFC Editor, March 2003. http://dx.doi.org/10.17487/rfc3317.

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Rivera, R. G., S. Das, and T. E. Walsh. Environmental Quality Information Analysis Center multi-year plan. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/7249894.

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Purtell, Russell, Ravi Prasanth, Joao Cabrera, Raman Mehra, and Robert Smith. Quality of Information Metrics for Autonomous Decision Marking. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada418371.

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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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