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Topic

Information quality

About: Information quality is a(n) research topic. Over the lifetime, 10596 publication(s) have been published within this topic receiving 261433 citation(s). The topic is also known as: quality of information.

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Journal ArticleDOI
William H. DeLone1, Ephraim R. McLean2Institutions (2)
TL;DR: A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success, but the dependent variable in these studies-I/S success-has been an elusive one to define.

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Abstract: A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success. However, the dependent variable in these studies-I/S success-has been an elusive one to define. Different researchers have addressed different aspects of success, making comparisons difficult and the prospect of building a cumulative tradition for I/S research similarly elusive. To organize this diverse research, as well as to present a more integrated view of the concept of I/S success, a comprehensive taxonomy is introduced. This taxonomy posits six major dimensions or categories of I/S success-SYSTEM QUALITY, INFORMATION QUALITY, USE, USER SATISFACTION, INDIVIDUAL IMPACT, and ORGANIZATIONAL IMPACT. Using these dimensions, both conceptual and empirical studies are then reviewed a total of 180 articles are cited and organized according to the dimensions of the taxonomy. Finally, the many aspects of I/S success are drawn together into a descriptive model and its implications for future I/S research are discussed.

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9,454 citations


Journal ArticleDOI
Richard L. Daft1, Robert H. Lengel2Institutions (2)
01 May 1986-Management Science
TL;DR: Models are proposed that show how organizations can be designed to meet the information needs of technology, interdepartmental relations, and the environment to both reduce uncertainty and resolve equivocality.

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Abstract: This paper answers the question, "Why do organizations process information?" Uncertainty and equivocality are defined as two forces that influence information processing in organizations. Organization structure and internal systems determine both the amount and richness of information provided to managers. Models are proposed that show how organizations can be designed to meet the information needs of technology, interdepartmental relations, and the environment. One implication for managers is that a major problem is lack of clarity, not lack of data. The models indicate how organizations can be designed to provide information mechanisms to both reduce uncertainty and resolve equivocality.

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8,154 citations


Journal ArticleDOI
01 Jul 2000-Work Study

2,820 citations


ReportDOI
Richard L. Daft1, Robert H. LengelInstitutions (1)
TL;DR: The concept of information richness is introduced, and three models of information processing are proposed that describe (1) manager information behavior, (2) organizational mechanisms for coping with equivocality from the environment, and (3) organizational mechanism for internal coordination.

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Abstract: : This paper introduces the concept of information richness, and proposes three models of information processing. The models describe (1) manager information behavior, (2) organizational mechanisms for coping with equivocality from the environment, and (3) organizational mechanisms for internal coordination. Concepts developed by Weick (1979) and Galbraith (1973) are integrated into two information tasks: equivocality reduction and the processing of a sufficient amount of information. The premise of this paper is that the accomplishment of these information tasks and the ultimate success of the organization are related to the balance of information richness used in the organization.

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2,468 citations


Journal ArticleDOI
Maureen O'Hara1, David Easley1Institutions (1)
Abstract: We investigate the role of information in affecting a firm's cost of capital. Using a multi-asset rational expectations model, we show that differences in the composition of information between public and private information affect the cost of capital, with investors demanding a higher return to hold stocks with greater private information. This higher return arises because informed investors are better able to shift their portfolio weights to incorporate new information, and uninformed investors are thus disadvantaged. The model demonstrates how in equilibrium the quantity and quality of information affect asset prices, resulting in cross-sectional differences in firms' required returns. We show how a firm can influence its cost of capital by choosing features like accounting treatments, financial analyst coverage, and market microstructure.

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2,298 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20228
2021448
2020529
2019512
2018483
2017568

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Topic's top 5 most impactful authors

Markus Helfert

45 papers, 631 citations

Richard Y. Wang

20 papers, 2.2K citations

Ron S. Kenett

18 papers, 212 citations

Monica Scannapieco

18 papers, 505 citations

Andy Koronios

13 papers, 229 citations