The assessment of the information quality with the aid of multiple criteria analysis

Michnik, Jerzy; Lo, Mei-Chen

doi:10.1016/j.ejor.2007.11.017

Cited by 58 publications

(66 citation statements)

References 8 publications

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“…Information can be defined from the organization's perspective as data that need to be processed (Michnik & Lo, 2009). Without adequate processing of such data, organizations may not have the necessary information to operate effectively.…”

Section: Information Qualitymentioning

confidence: 99%

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

Abumandil¹,

Hassan²

2016

European Proceedings of Social &Amp; Behavioural Sciences

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Banks in Palestine are an important source of businesses and organizations for financing and bank's managers have to make effective decisions. The literature indicates the important role of information quality to facilitate managers to make effective decisions. Information quality dimensions of accuracy, accessibility, relevancy, completeness, accuracy, and timeliness are the factors that determine whether the information received by managers meet the quality. In this paper we argue that the effective decision making effectiveness depends on the structure of the organization. A formalized organizational structure, for example, is likely to affect the information quality, and, hence, the decision-making process. In essence, this paper proposes the moderating effect of organizational structure on the link between information quality and decision making effectiveness.

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Section: Information Qualitymentioning

confidence: 99%

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

Abumandil¹,

Hassan²

2016

European Proceedings of Social &Amp; Behavioural Sciences

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“…Based on the literature considered in this study (e.g. Michnik & Lo, 2007;Knight & Burn, 2005), it was observed that the definition and classification of data quality dimensions proposed by Wang and Strong (1996) is by far the most referenced and widely accepted classification than other competing classifications. The Michnik and Lo (2007) classification was derived from the original Wang and Strong (1996) but was slightly modified to incorporate expert opinion on the original model.…”

Section: 2mentioning

confidence: 99%

“…The intrinsic data quality dimension refers to degree to which data values are in conformance with the actual or true values (Wang and Strong, 1996). Intrinsic data quality denotes features which belong to internal characteristic of data namely: accuracy, objectivity, believability and credibility (Michnik and Lo, 2007).…”

Section: 2mentioning

confidence: 99%

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Improving Data Quality in the Banking Supervisory Data of Southern Africa Central Banks

Motjolopane

Lutu

2012

E J Info Sys Dev Countries

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The importance of effective supervision of banking institutions in developing countries cannot be over-emphasised. Central banks are responsible for the supervision of the banking institutions of a country. In order to effectively perform the supervisory role of banking institutions, central banks need to collect and analyse data about the operations of the banking institutions they supervise. Data analysis is conducted in order to establish the health of these institutions. Central banks in the SADC region experience many problems with the quality of the data that they receive from the banking institutions they supervise. Needless to say, decisions made on the basis of poor quality data increase the risk of allowing unsound institutions to continue in operation. This creates the real risk of loss of money by the individuals and organisations that form the clientele of these institutions, and will adversely affect the economy of the country. Despite the commendable efforts made by the regional central banks to implement a banking supervision application to expedite the supervisory activities through instituting a one-stop-shop for all the banking supervisory information, and the introduction of an electronic platform for collecting and analysing periodic banking supervision returns, there are still many imperfections in the information. A survey was conducted to investigate data quality problems at three SADC central banks. Recommendations are provided in this paper on measures that can be taken to improve the quality of the banking supervisory data for the SADC central banks.

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“…Not only is the Delphi method based on expert advice but it can also confirm that each dimension is suitable to the criteria. All structures of future criteria use AHP to calculate criteria (Chang et al, 2007;Michnik & Lo, 2009). Finally, this study used the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to obtain the ranking results.…”

Section: Figure1 the Four Perspectives Of Taiwan Training Quality Symentioning

confidence: 99%

Combining MCDM Methods and AHP to Improve TTQS: A Case Study of the VETC

Chung¹,

Chang²

2015

IES

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This study proposed the use of the benchmarking framework to evaluate the performance of vocational education and training centers (VETC) in using the Taiwan Training Quality System (TTQS) to ensure the advantages and disadvantages of each factor and to confirm the priority of the weights of the criteria and alternative solutions. This study used the Delphi method, Analytic Hierarchy Process Theory (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as the base method and divided the whole process into three stages. In the first stage, the Delphi method identified and integrated the criteria, sub-criteria, and alternatives. In the second stage, AHP was used to ensure that VETC underwent performance evaluation against their competitors through TTQS to observe the relationships of every criteria and sub-criteria, as well as the overall performance indicators. In the third stage, the TOPSIS is used as the basis to evaluate the VETC performance.

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The assessment of the information quality with the aid of multiple criteria analysis

Cited by 58 publications

References 8 publications

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

Improving Data Quality in the Banking Supervisory Data of Southern Africa Central Banks

Combining MCDM Methods and AHP to Improve TTQS: A Case Study of the VETC

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