Authors: Jaikrit Kandari; Erick C. Jones; Fiona Fui-Hoon Nah; Ram R. Bishu
Addresses: 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
Abstract: 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.
Keywords: information quality frameworks; survey instrument; reliability; internet; world wide web; WWW; quality measurement.
International Journal of Information Quality, 2011 Vol.2 No.4, pp.324 - 343
Received: 09 Dec 2010
Accepted: 04 Jun 2011
Published online: 21 Nov 2011 *