Authors: Davod Khosroanjom, Masoud Ahmadzade, Ali Niknafs, Reza Kiani Mavi
Addresses: Department of Information Technology Management, Tarbiat Modares University, Jalal Ale Ahmad Highway, P.O. Box 14115-317, Tehran, Iran. ' Department of Industrial Management, Imam Khomeini International University (IKIU), Noruzian Street, Qazvin 34149-16818, Iran. ' Department of Information Technology Management, Tarbiat Modares University, Jalal Ale Ahmad Highway, P.O. Box 14115-317 Tehran, Iran. ' Department of Industrial Management, Islamic Azad University (IAU), Nokhbegan Street, Qazvin 34185-1416, Iran
Abstract: The business work flow depends on the data quality which is applied in the organisation. Therefore, data quality has become increasingly important to many organisations such as semiconductor industry. Data quality depends strongly on organisation of the information system (IS) and how the data is processed. Measuring and improving data quality in an organisation is a complex task. The purpose of this paper is to provide a good insight into the use of fuzzy analytical hierarchy process (fuzzy AHP) to incorporate four aspect dimensions of data quality: 1) intrinsic; 2) accessibility; 3) contextual; 4) representational. Findings demonstrate that the intrinsic criteria and accessibility criteria are the preferred key decision dimensions of data quality in semiconductor industry. Fuzzy AHP as a decision-making analysis tool is used for handling uncertain and imprecise data.
Keywords: data quality; semiconductor industry; analytical hierarchy process; fuzzy AHP; decision making; information systems.
International Journal of Business Information Systems, 2011 Vol.8 No.3, pp.269 - 285
Published online: 30 Sep 2014 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article