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The assessment of the information quality with the aid of multiple criteria analysis
Authors:Jerzy Michnik  Mei-Chen Lo
Institution:1. The K. Adamiecki University of Economics in Katowice ul. 1 Maja 15, 40-287 Katowice, Poland;2. Department of Business Management, National United University No. 1, Lien Da, Kung-Ching Li, Miao-Li City 36003, Taiwan
Abstract:The virtual business work flow depends on the information quality (IQ) which is essential attribute of information. The IQ depends strongly on organization of the information system (IS) and how the information is processed. In our approach we incorporate the four-aspect representation of IQ: (1) intrinsic, (2) contextual, (3) representational, and (4) accessibility. These four-aspects are divided into several criteria at the next level of hierarchy. The weights, representing the relative importance of criteria, have been assessed by pair-wise comparisons made by group of experts. Based on discussion with experts, six alternative strategies, that could be used for improving the IQ, were designed. For each given criterion, the group of subjects revealed the opinion about the level of achievement of every alternative. The set of scores, assigned to the alternative by different subjects, formed the discrete distribution that is used for a comparison of alternatives with the aid of stochastic dominances. In analogy to the Electre I methodology, the simple algorithm for the aggregate evaluation of analyzed alternatives was proposed. The benefits of proposed approach were demonstrated in a case study of the semiconductor industry. The results of our study suggest, that in case of matured company, the external strategies, that point out to the information exchange and strategic networked alliance with customers and suppliers, are preferred to the internal ones. The latter ones might be of greater importance for the new set up or for a young company.
Keywords:Multiple criteria analysis  Analytic hierarchy process (AHP)  Stochastic dominance (SD)  Information quality (IQ)  Semiconductor industry
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