Information quality factors affecting innovation process

Al-Hakim, Latif

doi:10.1504/ijiq.2007.014607

Cited by 17 publications

(21 citation statements)

References 24 publications

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“…The decline rate of the attribute first_name was assumed as 0.00 since the first name usually remains the same. 4 In contrast, the decline rate of current_tariff was estimated based on historical data of the mobile services provider as 0.40 (instead, key account managers could also have been surveyed, accordingly [14]). On this basis, we defined the metric for currency (cf.…”

Section: Application Of the Metric For Currencymentioning

confidence: 99%

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Assessing data currency — a probabilistic approach

Heinrich

Klier

2010

Journal of Information Science

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Abstract.The growing relevance of data quality has revealed the need for adequate measurement. As time aspects are extremely important in data quality management, we propose a novel approach to assess data currency. Our metric, which is founded on probability theory, enables an objective and widely automated assessment for data liable to temporal decline. Its values are easy to interpret by business users. Moreover, the metric makes it possible to analyse the economic impacts of data quality measures like data cleansing and can therefore build a basis for an economic management of data quality. The approach can be applied in various fields of application where the currency of data is important. To illustrate the practical benefit and the applicability of the novel metric, we provide an extensive realworld example. In cooperation with a major German mobile services provider, the approach was successfully applied in campaign management and led to an improved decision support.Keywords: data quality; data quality assessment; data quality metrics IntroductionBoth the benefit and the acceptance of information systems depend heavily on the quality of data provided by these systems [1][2][3]. Executives and employees need high-quality data in order to perform business, innovation, and decision-making processes properly [4,5]. It is, therefore, not surprising that bad data quality may lead to wrong decisions and correspondingly high costs. According to an international survey, 75 percent of all respondents have already made wrong decisions due to incorrect or outdated data. In addition, they and their staff spend up to 30 percent % of their working time on checking the quality of data provided [6]. Here, ensuring completeness, correctness and currency of data -such properties are known as data quality dimensions [7] -still remains an important problem for many companies and public institutions [8][9][10][11][12][13]. But how good is an organization's data quality? To answer this important question, well-founded and applicable metrics are needed [8,14,15]. In addition, assessing data quality (e.g. master data) is essential for analysing the economic effects of bad or improved data quality as well as for planning data quality measures in an economic manner. In this paper, we present a novel metric for currency, as empirical investigations reveal that time aspects are extremely

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Section: Application Of the Metric For Currencymentioning

confidence: 99%

“…Executives and employees need high-quality data in order to perform business, innovation, and decision-making processes properly [4,5]. It is, therefore, not surprising that bad data quality may lead to wrong decisions and correspondingly high costs.…”

Section: Introductionmentioning

confidence: 99%

Assessing data currency — a probabilistic approach

Heinrich

Klier

2010

Journal of Information Science

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“…Figure 1 illustrates the five elements of information; input, output, constraint, guidance and feedback. Source: Adapted from Al-Hakim (2007, 2008 Information mapping is a process of tracing the relationships (interdependencies) between information elements governing the process activities. Though the quality of information flow for all elements is crucial for achieving quality healthcare, the constraints and feedback directly related to disruptions inside operating rooms.…”

Section: Information Quality Conceptsmentioning

confidence: 99%

“…Thus, information and data can be regarded as being of high quality if they are fit for their intended use in operations, decision making and planning (Redman, 2004). While this perspective captures the essence of information quality, it is very broad definition and is difficult to use in the measurement of quality (Al-Hakim 2007). Several researchers have attempted to identify the IQ dimensions (Wand and Wang 1996;Wang, Story, and Fifth 1995;Wang and Strong 1996).…”

Section: Dimensions Of Information Qualitymentioning

confidence: 99%

Surgical disruption: information quality perspective

Al-Hakim

2008

IJIQ

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Abstract. This paper emphasises that most surgical errors can be prevented or intercepted by reducing preventable disruptions inside the operating rooms. It uses information quality concepts and identifies information elements cause disruptions. The paper report initial results from 27 observed surgeries conducted in operating rooms of two Australian hospitals. This research employs an 'object-centred' strategy in which the object is the surgeon conducting the surgery and records the time during which a surgeon has to wait unnecessarily is recorded. The research indicates that disruptions may force surgeons to unnecessary wait more than 19% of the surgical time. However, the paper stresses that the results from the limited number of observations may not provides comprehensive list of disruptions.

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“…The definition is broadened by Copeland and Simpson (2004) to include "any communication or representation of knowledge such as facts or data, in any medium or form". Organisations, including educational institutions, have become so critically dependent on information that information quality (IQ) problems must be identified and treated as quickly as possible (Al-Hakim, 2007). A key target of modern education, including distance as well as traditional education, is to improve information flow between the instructors and the students.…”

Section: Education and Information Qualitymentioning

confidence: 99%

Perception of students on performance of dual-mode education: Information Quality perspective

Al-Hakim

2007

IJIQ

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Abstract. In recent years, there have been radical developments in higher education in China. The most significant of these has been the aspiration of Chinese universities to form partnerships with overseas universities that allow their students to have the advantages of dual-mode enrolment, that is, to get the advantages of courses developed by other universities via distance education in addition to their University's on-campus courses. The current literature investigating general perceptions of service quality by distance education students has so far barely examined perceptions of dual-mode students. This preliminary research attempts to fill this gap. It ascertains the relevance of information quality (IQ) dimensions for delivery evaluation of various education modes. This paper employs a qualitative methodology and uses importance-performance analysis to investigate information quality dimensions affecting student satisfaction of dual-mode education. The case considered is a newly established Chinese University that has a partnership with an Australian University. The results show significant gaps in the performance of accessibility, amount of information, coherency, relevancy and timeliness.

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Information quality factors affecting innovation process

Cited by 17 publications

References 24 publications

Assessing data currency — a probabilistic approach

Assessing data currency — a probabilistic approach

Surgical disruption: information quality perspective

Perception of students on performance of dual-mode education: Information Quality perspective

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