Integration, uncertainty, information quality, and performance: a review of empirical research. Issue 1 (July 2015)

• Record Type: Journal Article
• Authors: Sagawa, Juliana; Nagano, Marcelo
• Is Part Of: International journal of advanced manufacturing technology. Volume 79:Issue 1(2015)
• Page Start: 299
• Page End: 306
• Publication Date: 2015-07
• Subjects: Integration -- Uncertainty -- Information quality -- Performance; Manufacturing processes -- Periodicals; Production engineering -- Periodicals; 670.427
• DOI: 10.1007/s00170-015-6836-5
• Languages: English
• ISSNs: 0268-3768

Abstract

Abstract This paper aims to review and discuss the empirical research that investigates the relationships among integration, uncertainty, information quality (IQ), and firm performance. A conceptual framework to classify the reviewed works is also proposed. The scope of the review comprises papers from 2001 to 2013, but some older publications were reviewed in order to recall some classical definitions of the constructs. A comprehensive look at these studies revealed the fragmented nature of this body of knowledge as well as dissimilarities in the definition of the constructs. Most of the research focuses on the dyadic relationship between integration and performance, moderated or not by uncertainty. Thus, the literature lacks more empirical evidence regarding the integration-IQ and the uncertainty-IQ relationships. This paper contributes to the scientific field by the following: considering all these four constructs together in a literature review; synthesizing the growing body of knowledge on these topics; and presenting a critical analysis. Researchers that want to further investigate this subject may use this paper as a starting point. Managers' understanding of these empirical relationships can be improved.