International Journal of Information Quality http://www.inderscience.com/browse/index.php?journalID=204&year=2011&vol=2&issue=4 Inderscience Publishers Ltd en-uk International Journal of Information Quality 1751-0457 1751-0465 © 2011 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijiq_scoverijiq.jpg http://www.inderscience.com/browse/index.php?journalID=204&year=2011&vol=2&issue=4 http://www.inderscience.com/link.php?id=43779 Mexico was a relatively early adopter of the internet, and although broadband access has been limited in some parts of the country, the government has aggressively sought to provide internet access to users throughout the country. This study reports the results of a study of perceptions of information quality among Mexican users of the internet. Results are reported from a survey of internet users at two Mexican universities in which perceptions of 15 dimensions of information quality are assessed. The nine dimensions of believability, accuracy, objectivity, reputation, value-added, ease of understanding, representational consistency, concise representation, and access security have higher ratings for traditional text sources of information than for internet sources of information. In contrast, the dimensions of timeliness and accessibility have higher ratings for internet sources than for traditional text sources of information. An examination of the information quality perceptions of Mexican internet users
Barbara D. Klein; Magali Valero; Yi Maggie Guo
International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 287 - 299
Mexico was a relatively early adopter of the internet, and although broadband access has been limited in some parts of the country, the government has aggressively sought to provide internet access to users throughout the country. This study reports the results of a study of perceptions of information quality among Mexican users of the internet. Results are reported from a survey of internet users at two Mexican universities in which perceptions of 15 dimensions of information quality are assessed. The nine dimensions of believability, accuracy, objectivity, reputation, value-added, ease of understanding, representational consistency, concise representation, and access security have higher ratings for traditional text sources of information than for internet sources of information. In contrast, the dimensions of timeliness and accessibility have higher ratings for internet sources than for traditional text sources of information.

]]> 10.1504/IJIQ.2011.043779 International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 287 - 299 Barbara D. Klein; Magali Valero; Yi Maggie Guo University of Michigan-Dearborn, 19000 Hubbard Drive, Dearborn, MI 48126 USA. ' University of Michigan-Dearborn, 19000 Hubbard Drive, Dearborn, MI 48126 USA. ' University of Michigan-Dearborn, 19000 Hubbard Drive, Dearborn, MI 48126 USA information quality internet sources information sources Mexican end users Mexico perceived quality higher education text sources. 2011-11-22T23:20:50-05:00 2 4 287 299 2011-11-22T23:20:50-05:00 http://www.inderscience.com/link.php?id=43780 Information quality is a complex and multidimensional notion. In the context of information system engineering, it is also a transversal notion and to be fully understood, it needs to be evaluated jointly considering the quality of data, the quality of the underlying conceptual data model and the quality of the software system that manages these data. This paper presents a multidimensional model for exploring information in a multidimensional way, which aids in the navigation, filtering, and interpretation of quality measures, and thus in the identification of the most appropriate actions to improve information quality. Two application scenarios are presented to illustrate and validate the multidimensional approach: the first one concerns the quality of customer information at Electricité de France, a French electricity company, and the second concerns the quality of patient records at Institut Curie, a well-known medical institute in France. The instantiation of our multidimensional model in these contexts shows first illustrations of its applicability. Assessment and analysis of information quality: a multidimensional model and case studies
Laure Berti-Équille; Isabelle Comyn-Wattiau; Mireille Cosquer; Zoubida Kedad; Sylvaine Nugier; Verónika Peralta; Samira Si-Saïd Cherfi; Virginie Thion-Goasdoué
International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 300 - 323
Information quality is a complex and multidimensional notion. In the context of information system engineering, it is also a transversal notion and to be fully understood, it needs to be evaluated jointly considering the quality of data, the quality of the underlying conceptual data model and the quality of the software system that manages these data. This paper presents a multidimensional model for exploring information in a multidimensional way, which aids in the navigation, filtering, and interpretation of quality measures, and thus in the identification of the most appropriate actions to improve information quality. Two application scenarios are presented to illustrate and validate the multidimensional approach: the first one concerns the quality of customer information at Electricité de France, a French electricity company, and the second concerns the quality of patient records at Institut Curie, a well-known medical institute in France. The instantiation of our multidimensional model in these contexts shows first illustrations of its applicability.

]]> 10.1504/IJIQ.2011.043780 International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 300 - 323 Laure Berti-Équille; Isabelle Comyn-Wattiau; Mireille Cosquer; Zoubida Kedad; Sylvaine Nugier; Verónika Peralta; Samira Si-Saïd Cherfi; Virginie Thion-Goasdoué CEREGE-IRD, Europôle Méditerranéen de l'Arbois, Av. L. Philibert, BP 80, 13545 Aix-En-Provence, France. ' CEDRIC, Conservatoire National des Arts et Métiers (CNAM) et ESSEC Business School, 292 Rue Saint Martin, 75141 Paris Cedex 03, Paris, France. ' Service d'Information Médicale, Institut Curie, 26, Rue des Fossés Saint-Jacques, 75005 Paris, France. ' Laboratoire PRiSM, Université de Versailles Saint-Quentin-en-Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France. ' EDF R&D, Département STEP, 6 Quai Watier, BP 49, 78401 Chatou Cedex, France. ' Antenne Universitaire de Blois, 3 Place Jean Jaurès, 41000 Blois, France. ' CEDRIC, Conservatoire National des Arts et Métiers (CNAM), 292 Rue Saint Martin, 75141 Paris Cedex 03, Paris, France. ' CEDRIC, Conservatoire National des Arts et Métiers (CNAM), 292 Rue Saint Martin, 75141 Paris Cedex 03, Paris, France information quality model quality data quality quality analysis quality measures customer information patient records patient information. 2011-11-22T23:20:50-05:00 2 4 300 323 2011-11-22T23:20:50-05:00 http://www.inderscience.com/link.php?id=43784 Data consumers are provided with easy online access to information on the World Wide Web. However, consumers face information quality problems in their quest for information. This paper focuses on the development of an instrument to measure information quality (IQ) on the World Wide Web from a user's perspective. Based on a comprehensive review of the literature, 20 important IQ frameworks were identified. These models, though varied in their approach and application, share a number of characteristics regarding their classifications of the attributes of quality. The paper identifies common dimensions that exist across the existing IQ frameworks in the literature and develops a unified comprehensive framework for the measurement of IQ based on the identified thread of commonality and the intuitive approach. A survey instrument was developed and fine-tuned using the iterative cognitive interview process. The proposed survey instrument comprises 72 questions to measure 22 IQ dimensions. Information quality on the World Wide Web: development of a framework
Jaikrit Kandari; Erick C. Jones; Fiona Fui-Hoon Nah; Ram R. Bishu
International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 324 - 343
Data consumers are provided with easy online access to information on the World Wide Web. However, consumers face information quality problems in their quest for information. This paper focuses on the development of an instrument to measure information quality (IQ) on the World Wide Web from a user's perspective. Based on a comprehensive review of the literature, 20 important IQ frameworks were identified. These models, though varied in their approach and application, share a number of characteristics regarding their classifications of the attributes of quality. The paper identifies common dimensions that exist across the existing IQ frameworks in the literature and develops a unified comprehensive framework for the measurement of IQ based on the identified thread of commonality and the intuitive approach. A survey instrument was developed and fine-tuned using the iterative cognitive interview process. The proposed survey instrument comprises 72 questions to measure 22 IQ dimensions.

]]> 10.1504/IJIQ.2011.043784 International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 324 - 343 Jaikrit Kandari; Erick C. Jones; Fiona Fui-Hoon Nah; Ram R. Bishu The Department of Industrial and Management Systems Engineering, University of Nebraska, 328 NH Lincoln NE 68588-0518, Lincoln, USA. ' The Department of Industrial and Manufacturing Systems Engineering, The University of Texas at Arlington, Woolf Hall, Room 420, 500 West First Street, Arlington, TX 76019, USA. ' Department of Management, University of Nebraska, CBA 267, P.O. Box 880491, Lincoln, NE 68588-0491, USA. ' University of Nebraska, Work 328 NH Lincoln NE 68588-0518, USA information quality frameworks survey instrument reliability internet world wide web WWW quality measurement. 2011-11-22T23:20:50-05:00 2 4 324 343 2011-11-22T23:20:50-05:00 http://www.inderscience.com/link.php?id=43782 Data warehouses are large repositories designed to enable the knowledge workers to take better and faster decisions. Due to its significance in strategic decisions, there is a need to assure data warehouse quality. One of the factors affecting the data warehouse quality is multidimensional model quality. Although there are some useful guidelines for designing good multidimensional data models, but objective indicators, i.e., metrics are needed to help designers to develop quality multidimensional models. Few researchers have proposed quality metrics for multidimensional models for data warehouse. These metrics need to be theoretically as well as empirically validated in order to prove their practical utility. In this paper, empirical validation using controlled experiment is carried out. We not only evaluate the effect of individual metric but also evaluate the effect of various combinations of metrics on data warehouse model quality specifically understandability, in order to best explain the variance of dependent variable due to independent variables. The results show that these metrics may be used as objective indicators for understandability. Finally, accuracy of our model in predicting the multidimensional model quality is also evaluated. Assessment of quality of data warehouse multidimensional model
Anjana Gosain; Sangeeta Sabharwal; Sushama Nagpal
International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 344 - 358
Data warehouses are large repositories designed to enable the knowledge workers to take better and faster decisions. Due to its significance in strategic decisions, there is a need to assure data warehouse quality. One of the factors affecting the data warehouse quality is multidimensional model quality. Although there are some useful guidelines for designing good multidimensional data models, but objective indicators, i.e., metrics are needed to help designers to develop quality multidimensional models. Few researchers have proposed quality metrics for multidimensional models for data warehouse. These metrics need to be theoretically as well as empirically validated in order to prove their practical utility. In this paper, empirical validation using controlled experiment is carried out. We not only evaluate the effect of individual metric but also evaluate the effect of various combinations of metrics on data warehouse model quality specifically understandability, in order to best explain the variance of dependent variable due to independent variables. The results show that these metrics may be used as objective indicators for understandability. Finally, accuracy of our model in predicting the multidimensional model quality is also evaluated.

]]> 10.1504/IJIQ.2011.043782 International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 344 - 358 Anjana Gosain; Sangeeta Sabharwal; Sushama Nagpal University School of Information Technology, GGSIPU, New Delhi-110006, India. ' Computer Engineering Division, Netaji Subhas Institute of Technology, Dwarka, New Delhi-110078, India. ' Computer Engineering Division, Netaji Subhas Institute of Technology, Dwarka, New Delhi-110078, India data warehouses multidimensional models metrics empirical validation data warehouse quality information quality model quality. 2011-11-22T23:20:50-05:00 2 4 344 358 2011-11-22T23:20:50-05:00 http://www.inderscience.com/link.php?id=43783 This research considers information quality from the perspective of the dimensions of trust. This paper identifies 12 effective factors of information quality. These factors are investigated in order to gauge the gap between expected importance and perceived performance ratings of these factors within the process of information sharing. The research presents results of a survey comprising 39 organisations. Data analysis recognises four factors with critical gaps affecting information sharing. These are 'level of responsiveness', 'information accessibility', 'information accuracy' and 'information timely as agreed'. Trust and information quality: performance gap analysis
Latif Al-Hakim
International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 359 - 372
This research considers information quality from the perspective of the dimensions of trust. This paper identifies 12 effective factors of information quality. These factors are investigated in order to gauge the gap between expected importance and perceived performance ratings of these factors within the process of information sharing. The research presents results of a survey comprising 39 organisations. Data analysis recognises four factors with critical gaps affecting information sharing. These are 'level of responsiveness', 'information accessibility', 'information accuracy' and 'information timely as agreed'.

]]> 10.1504/IJIQ.2011.043783 International Journal of Information Quality, Vol. 2, No. 4 (2011) pp. 359 - 372 Latif Al-Hakim Faculty of Business and Law, University of Southern Queensland, Queensland, 4350, Australia information quality information sharing trust dimensions gap analysis. 2011-11-22T23:20:50-05:00 2 4 359 372 2011-11-22T23:20:50-05:00