Journal articles on the topic 'Information Quality'

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Shah, Asghar, Jaffer Shah, and Naveed Shah. "Physician Quality Information." Health Affairs 38, no. 6 (June 2019): 1055. http://dx.doi.org/10.1377/hlthaff.2019.00375.

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12

Mandel, Theo. "Quality technical information." ACM Journal of Computer Documentation 26, no. 3 (August 2002): 118–25. http://dx.doi.org/10.1145/604228.604234.

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13

Davies, Mark A. P. "Perceived Information Quality." Journal of International Consumer Marketing 13, no. 4 (June 2001): 29–50. http://dx.doi.org/10.1300/j046v13n04_03.

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14

Hall, Homer J. "Quality of information." Journal of the American Society for Information Science and Technology 55, no. 1 (2003): 92. http://dx.doi.org/10.1002/asi.10349.

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15

Fletcher, Sam, and Md Zahidul Islam. "Measuring Information Quality for Privacy Preserving Data Mining." International Journal of Computer Theory and Engineering 7, no. 1 (February 2014): 21–28. http://dx.doi.org/10.7763/ijcte.2015.v7.924.

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16

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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17

HELFERT, Markus, Ray WALSHE, and Cathal GURRIN. "The Impact of Information Quality on Quality of Life: An Information Quality Oriented Framework." IEICE Transactions on Communications E96.B, no. 2 (2013): 404–9. http://dx.doi.org/10.1587/transcom.e96.b.404.

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18

Niland, J. C., L. Rouse, and D. C. Stahl. "An Informatics Blueprint for Healthcare Quality Information Systems." Journal of the American Medical Informatics Association 13, no. 4 (July 1, 2006): 402–17. http://dx.doi.org/10.1197/jamia.m2050.

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19

M, Jufli Anita Ranti. "The Effect Of Information System Quality And Information Quality On User Statisfaction Accounting Information System." International Journal of Applied Finance and Business Studies 9, no. 3 (December 30, 2021): 100–106. http://dx.doi.org/10.35335/ijafibs.v9i3.4.

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The purpose of this study was to examine the influence of the quality of information and quality of information systems to the satisfaction of the end users of accounting information systems. This research model is used with reference to the model in using information technology system that is the Technology Acceptance Model (TAM) developed by DeLone and McLean. Data were collected from questionnaires given to 110 employees at Kodam I/BB as information systems user. Questionnaires were received back from 78 questionnaire respondents, and only 74 questionnaires that can be used for further analysis. Data analysis was performed using regression analysis through SPSS version 17. The results showed that the quality of information systems and information quality affects the end-user satisfaction of information system. The results showed that the quality of information system and the quality of information has a positive and significant influence on the accounting information system of user satisfaction in Kodam I/Bukit Barisan. This shows that the better the quality of information system and the quality of information applied to the level of satisfaction of users of accounting information system are getting higher.
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20

Huh, Seung. "The Effect of Inaccurate Quality Signaling under Information Asymmetry." Institute of Management and Economy Research 14, no. 1 (March 30, 2023): 231–46. http://dx.doi.org/10.32599/apjb.14.1.202303.231.

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Purpose - This study attempts to provide a new theoretical perspective on the quality signaling and its impact on a market under information asymmetry, focusing on how the accuracy and the cost of quality signaling affect sellers’ and buyers’ profit, suggesting appropriate designs of quality signaling methods which mitigates information asymmetry. Design/methodology/approach - In order to examine the effect of quality signaling on strategic interactions within the market, we establish an analytic model where market outcomes are determined by seller’s quality claim and price, and buyers are risk-neutral. By investigating this analytic model through relevant game trees, we find the subgame perfect Nash equilibria of the market and predict related market outcomes based on sellers’ quality signaling strategy. Findings - Our analytic model shows counterintuitive results that seller profit will be the lowest with inaccurate quality signaling and the highest with no quality signaling, mostly due to the certification cost. Consequently, sellers should proceed with caution if the quality signaling is less than accurate, as it may backfire. We believe that this is due to the fact that the inaccuracy of quality signaling causes some confusion and uncertainty in both sellers and buyers’ decision to maximize profit, making it hard for sellers to predict buyers’ behavior. Research implications or Originality - Although the sources and types of quality signaling errors have been investigated in the literature, there has not been satisfactory understanding regarding how inaccuracy of quality certification affects specific market outcomes. We expect that our theoretical model would provide important implications on how to utilize quality signaling to solve adverse selection issues in markets under information asymmetry.
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21

Hwang, Mark I., and Jerry W. Lin. "Information dimension, information overload and decision quality." Journal of Information Science 25, no. 3 (June 1999): 213–18. http://dx.doi.org/10.1177/016555159902500305.

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22

Lin, M. I. J. W. "Information Dimension, Information Overload and Dcision Quality." Journal of Information Science 25, no. 3 (June 1, 1999): 213–18. http://dx.doi.org/10.1177/0165551994232684.

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23

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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24

Floridi, Luciano. "What is information quality?" Philosophers' Magazine, no. 61 (2013): 24–25. http://dx.doi.org/10.5840/tpm20136149.

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25

Graziotin, Daniel. "Software quality information needs." Research Ideas and Outcomes 2 (April 20, 2016): e8865. http://dx.doi.org/10.3897/rio.2.e8865.

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26

Lillrank, Paul. "The quality of information." International Journal of Quality & Reliability Management 20, no. 6 (August 2003): 691–703. http://dx.doi.org/10.1108/02656710310482131.

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27

Burke, Patricia A. "Quality Information is Timeless." IDA Journal of Desalination and Water Reuse 2, no. 4 (October 2010): 1. http://dx.doi.org/10.1179/ida.2010.2.4.1.

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28

KOBAYASHI, H. "IMAGE QUALITY: SIGNALSAND INFORMATION." Nondestructive Testing and Evaluation 16, no. 2-6 (January 2001): 71–84. http://dx.doi.org/10.1080/10589750108953065.

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29

Showstack, Randy. "Air quality information tools." Eos, Transactions American Geophysical Union 88, no. 48 (November 27, 2007): 523. http://dx.doi.org/10.1029/2007eo480006.

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30

Cappiello, Cinzia, Florian Daniel, Maristella Matera, and Cesare Pautasso. "Information Quality in Mashups." IEEE Internet Computing 14, no. 4 (July 2010): 14–22. http://dx.doi.org/10.1109/mic.2010.60.

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31

Flynn, T., and K. Daily. "Quality and information technology." Manufacturing Engineer 78, no. 3 (June 1, 1999): 130–34. http://dx.doi.org/10.1049/me:19990312.

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32

Heldman, R. "The Quality Information Network." IEEE Journal on Selected Areas in Communications 4, no. 7 (October 1986): 1024–25. http://dx.doi.org/10.1109/jsac.1986.1146443.

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33

Berman, Yitzhak, and David Phillips. "Information and social quality." Aslib Proceedings 53, no. 5 (June 2001): 179–88. http://dx.doi.org/10.1108/eum0000000007052.

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34

Talburt, John, Therese L. Williams, Thomas C. Redman, and David Becker. "Information quality research challenge." Journal of Data and Information Quality 5, no. 1-2 (September 4, 2014): 1–3. http://dx.doi.org/10.1145/2629603.

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35

Stead, D. A., N. W. Paton, P. Missier, S. M. Embury, C. Hedeler, B. Jin, A. J. P. Brown, and A. Preece. "Information quality in proteomics." Briefings in Bioinformatics 9, no. 2 (September 28, 2007): 174–88. http://dx.doi.org/10.1093/bib/bbn004.

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36

Reynolds, Edward H. "The quality of information." Journal of the Royal Society of Medicine 110, no. 10 (October 2017): 388. http://dx.doi.org/10.1177/0141076817731219.

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37

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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38

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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39

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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40

Vanden, Joel M. "Information Quality and Options." Review of Financial Studies 21, no. 6 (October 25, 2006): 2635–76. http://dx.doi.org/10.1093/rfs/hhl040.

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41

Richards, Derek. "Finding good quality information." Evidence-Based Dentistry 3, no. 1 (January 2002): 1. http://dx.doi.org/10.1038/sj.ebd.6400097.

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42

Dean, Morris. "Producing quality technical information." ACM Journal of Computer Documentation 26, no. 3 (August 2002): 66–117. http://dx.doi.org/10.1145/604228.604232.

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43

Lukyanenko, Roman. "Information Quality Research Challenge." Journal of Data and Information Quality 7, no. 1-2 (June 6, 2016): 1–3. http://dx.doi.org/10.1145/2856038.

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44

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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45

Zhang, Xiangmin. "Rejoinder: Quality of information." Journal of the American Society for Information Science and Technology 55, no. 1 (2003): 92. http://dx.doi.org/10.1002/asi.10355.

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46

Bergmann, Ran. "INFORMATION PROJECTS QUALITY MODEL." EPH - International Journal of Science And Engineering 6, no. 1 (March 27, 2020): 1–9. http://dx.doi.org/10.53555/eijse.v6i1.1.

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The requirement to establish a quality model has been felt by users for the purpose of evaluating the software quality quantitatively and qualitatively. Information quality literature has provided a great amount of proposals for assessing the quality of information, but there is still a need to develop frameworks for assessing and improving the quality of information from the information consumer and the organizational point of view in the perspective of the information project classification. Moreover, for each dimension there must be set a clear definition what it represents, in order to be able to compare it for any type of Information Project (i.e. Information System) throughout its life cycle [2]. In order to improve the quality of information projects, it is required to present an information project quality improvement model that can be iterative measured and improved, during a period of time. Quality improvement is an iterative process that requires planning, execution, checks and feedback from the information consumers (IS users) in the organization. By this process, during a certain time frame, the quality of the project can be improved and reach higher business performances. Therefore, the quality activities are performed on a time scale, all along with the project's life cycle, in order to achieve an effective improvement of the project quality.
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47

alá, Jana, and Ľubica Černá. "Information Quality, Its Dimension and the Basic Criteria for Assessing Information Quality." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 20, Special-Number (December 1, 2012): 86–93. http://dx.doi.org/10.2478/v10186-012-0015-4.

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Abstract Poor quality of information in modern organizations depends on many aspects. As such the size and nature of the information, human factors, organizational culture, experience and skills as a manager and other team members, technology, but also the quality of inputs including, but not least, include data quality. Applying methodology of quality control help organizations create effective management of its information. The method of quality information control depends on all those aspects. The importance of the organization should be given to dispose of an optimum amount of information in the required quality and especially to share this information. Quality information is the key to the success of the project management, but also in many other areas. Understanding the mechanics of control information management and class is essential, but it is experience that distinguishes successful information quality managers.
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48

Lukyanenko, Roman, and Jeffrey Parsons. "Information Quality Research Challenge: Adapting Information Quality Principles to User-Generated Content." Journal of Data and Information Quality 6, no. 1 (March 4, 2015): 1–3. http://dx.doi.org/10.1145/2723166.

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49

Gorla, Narasimhaiah, Toni M. Somers, and Betty Wong. "Organizational impact of system quality, information quality, and service quality." Journal of Strategic Information Systems 19, no. 3 (September 2010): 207–28. http://dx.doi.org/10.1016/j.jsis.2010.05.001.

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50

Bradley, Jana. "Applied information quality: A framework for thinking about the quality of specific information." Journal of Urban Health 75, no. 4 (December 1998): 864–77. http://dx.doi.org/10.1007/bf02344514.

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