Criticality of data quality as exemplified in two disasters

Fisher, Craig W.; Kingma, Bruce R.

doi:10.1016/s0378-7206(01)00083-0

Cited by 166 publications

(80 citation statements)

References 30 publications

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“…Information technology (IT) and the information attributes it produces thus represent a crucial dimension of the sharing and coordination of information. Because the environment during a disaster is dynamic , information may well be outdated by the time it is collected (e.g., Fisher and Kingma 2001). For instance, in case of a major disaster, the state and configuration of human and other types of resources keep on changing.…”

Section: Information Sharing and Coordination Problemsmentioning

confidence: 99%

Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises

2009

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Although various scholars have researched issues regarding disaster management, few have studied the sharing and coordinating of information during disasters. Not much empirical data is available in this field and there is sparse insight into the factors that may impede or facilitate information sharing and coordination among stakeholders. In this paper, we provide an overview of the relevant obstacles and challenges by examining existing literature and then investigating a series of multi-agency disaster management exercises, using observations and a survey. Although all the people who took part in our study agree that sharing information is important, for the success of their own organization as well as the exercise as a whole, the extent to which information is actually being shared among organizations is often limited by a number of factors that can be attributed to the community, agency and individual level. We found that relief workers are often more concerned with receiving information from others than with providing information to others who may benefit. Incentives for sharing information, understanding each other's work-processes and the usability of information systems have shown positive effects on information sharing and coordination. The findings of our study have been formulated using six grounded propositions, which can be used by system designers and policy-makers upon validation in further research. We also provide directions for future research.

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Section: Information Sharing and Coordination Problemsmentioning

confidence: 99%

Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises

2009

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“…The ship's captain stated that they had less than 4 minutes to take action-not sufficient to verify the ambiguous information. Many deficiencies were listed as contributing factors to this disaster; however, one of them was also "duplicate tracking numbers with no computer alert" (Fisher & Kingma, 2001). A code value (a symbolic representation) previously pointed to Iranian Air Force F-14 (a factual existing or potential danger), but, actually, it was IA 655: Airbus A300, a commercial airliner (a different fact, but of no danger unless used by terrorists).…”

Section: The Possible Chasm Between Facts and The Data That Representmentioning

confidence: 99%

Focus and Perspectivism in Viewing Information, Data, and Informing: Fundamental Distinctions

Gackowski

2012

InformingSciJ

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In the theory of knowledge, Nietzsche articulated the principle of perspectivism. Using a simplified example, this paper illustrates how changing the optical perspective dramatically changes the results of observations. In the age of information, we still are far away from a reasonable consensus in viewing information and informing. Callaos and Callaos (2002) tried to integrate the disparate views into a "systemic notion of information" based on the "distributive notion of truth," but it did not bring us closer to a more cohesive view for research and practice. Misplaced focus and ignored perspectives seem to be the root cause of failure. By placing the disparate views into a down-to-earth context of routine human-controlled operations and processes observed in nature, most of them can be clarified, explained, dispelled, or refuted. This paper articulates the most fundamental distinctions that should not be ignored when information is a significant factor that contributes to the success of operations.

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“…Information of poor quality can endanger the competitiveness and success of organizations. It can lead to poor decision making (Raghunathan 1999;Keller and Staelin 1987;O'Reilly III 1982;Jung et al 2005;Shankaranarayanan and Cai 2006;Chengalur-Smith, Ballou, and Pazer 1999;Ge and Helfert 2008) and can in many ways create risks that hinder organizational performance (Redman 1998;Slone 2006;Eppler and Helfert 2004;Fisher and Kingma 2001).…”

Section: Introductionmentioning

confidence: 99%

A risk based model for quantifying the impact of information quality

Borek

Parlikad

Woodall

et al. 2014

Computers in Industry

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Information quality is one of the key determinants of information system success. When information quality is poor, it can cause a variety of risks in an organization. To manage resources for information quality improvement effectively, it is necessary to understand where, how, and how much information quality impacts an organization's ability to successfully deliver its objectives. So far, existing models have mostly focused on the measurement of information quality but not on the impact that information quality causes. This paper presents a model to quantify the business impact that arises through poor information quality in an organization by using a risk based approach. It hence addresses the inherent uncertainty in the relationship between information quality and organizational impact. The model can help information managers to obtain quantitative figures which can be used to build reliable and convincing business cases for information quality improvement.

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Criticality of data quality as exemplified in two disasters

Cited by 166 publications

References 30 publications

Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises

Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises

Focus and Perspectivism in Viewing Information, Data, and Informing: Fundamental Distinctions

A risk based model for quantifying the impact of information quality

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