Concept Of Information Quality Research Articles

Technology Strategy in Website Communication Media in Improving Business Activities

The competition faced by the company is an obstacle to achieving business goals in order to maintain the growth and survival of the company. System Strategic planning of information systems and information technology which refers to business strategy must be adapted to the company's business processes. The process of finding the future application portfolio is preceded by the discovery of business strategy, IS/IT management strategy and Website strategy. This will lead to the acquisition of fast, accurate and up-to-date information that is needed for decision making. The basic capital in the realm of computerized information systems is an innovation better known as electronic computers and the internet. This study tries to dissect the strategy of systems and technology on website communication media in increasing business activities. The use of the literature study method brings together several important studies from the perspective of the world of communication and economics, and will be linked in a more comprehensive manner. The results of the literature study illustrate that the increase in business communication supported by the website cannot be separated from the concept of information quality. A more visible result is a new concept of design management that emphasizes technical to socio-cultural considerations.

Dynamic model of online information quality perceptions and impacts: a literature review

ABSTRACTThis paper reviews the literature related to the concept of information quality (IQ) in the context of the online environment to understand how it has been conceptualised in the Information Systems (IS) literature, to identify gaps in the literature, and to make recommendations for future research. This study also extends the Information Processing Model (IPM) and proposes a novel dynamic model of online IQ perceptions and impacts. To understand the online IQ construct, an in-depth review of the literature is conducted. Overall, we reviewed 508 journal articles published between 1995 and 2016. This study found that there is a substantial gap in the IS literature in regards to a full understanding of the online IQ construct and its relation with the IPM. More research is needed to understand the way individuals process and respond to online information. Further, although the importance of context in theory development has been emphasised in the literature, very few empirical articles have explored the impact of contextual factors on the IPM as well as perceived online IQ. The findings provide online vendors with important guidelines that should be considered to motivate individuals to acquire more information from their websites that could lead to more satisfied and loyal users.

From Quality to Information Quality in Official Statistics

Abstract The term quality of statistical data, developed and used in official statistics and international organizations such as the International Monetary Fund (IMF) and the Organisation for Economic Co-operation and Development (OECD), refers to the usefulness of summary statistics generated by producers of official statistics. Similarly, in the context of survey quality, official agencies such as Eurostat, National Center for Science and Engineering Statistics (NCSES), and Statistics Canada have created dimensions for evaluating the quality of a survey and its ability to report ‘accurate survey data’. The concept of Information Quality, or InfoQ provides a general framework applicable to data analysis in a broader sense than summary statistics: InfoQ is defined as “the potential of a data set to achieve a specific (scientific or practical) goal by using a given empirical analysis method.” It relies on identifying and examining the relationships between four components: the analysis goal, the data, the data analysis, and the utility. The InfoQ framework relies on deconstructing the InfoQ concept into eight dimensions used for InfoQ assessment. In this article, we compare and contrast the InfoQ framework and dimensions with those typically used by statistical agencies. We discuss how the InfoQ approach can support the use of official statistics not only by governments for policy decision making, but also by other stakeholders, such as industry, by integrating official and organizational data.

On generating high InfoQ with Bayesian networks

Numbers are not data and data analysis does not necessarily produce information and knowledge. Statistics, data mining, and artificial intelligence are disciplines focused on extracting knowledge from data. They provide tools for testing hypotheses, predicting new observations, quantifying population effects, and efficiently summarizing data. In these fields, quantitative and qualitative data is used to derive knowledge. The concept of Information Quality (InfoQ) is defined by Kenett and Shmueli as the potential of a dataset to achieve a specific (scientific or practical) goal using a given data analysis method. Eight dimensions help assess the level of InfoQ of a study. These are: Data Resolution, Data Structure, Data Integration, Temporal Relevance, Generalizability, Chronology of Data and Goal, Operationalization, and Communication. This paper shows with examples, how combining graphical analysis with Bayesian analysis in the form of Bayesian networks generates high InfoQ. Specifically, we refer to examples from customer surveys of high tech companies, risk management of telecom systems, monitoring of bioreactors and managing healthcare of diabetic patients. These examples support the more general claim made here that Bayesian networks generate high information quality (InfoQ).

From Quality to Information Quality in Official Statistics

The term quality of statistical data, developed and used in official statistics and international organizations such as IMF and OECD, refers to usefulness of summary statistics generated by producers of official statistics. Similarly, in context of survey quality, official agencies such as Eurostat, NCSES and Statistics Canada created dimensions for evaluating quality of a survey for obtaining 'accurate survey data'.The concept of Information Quality, or InfoQ, (Kenett and Shmueli, 2014), provides a general framework applicable to data analysis in a broader sense than summary statistics: InfoQ is defined as the potential of a dataset to achieve a specific goal using a given empirical analysis method. It relies on identifying and examining relationships between four components: analysis goal, data, data analysis, and utility. The InfoQ framework relies on eight dimensions used to deconstruct InfoQ and thereby provide an approach for assessing it.We compare and contrast InfoQ framework and dimensions with those typically used by statistical agencies. We discuss how InfoQ approach can support using official statistics not only by government for policy decision making, but also by other stakeholders such as industry by integrating official and organizational data.

Online Budget Transparency in OECD Member Countries and Administrative Culture

The Organisation for Economic Co-Operation and Development emphasizes the e-government process as a tool for promoting budget transparency making all fiscal reports publicly available on the Internet. Nonetheless, the particular approach adopted to New Public Management models may influence different policies concerning the concepts of information quality and transparency. Based on an administrative culture approach, the aim of this article is to analyze whether the new technologies are being used by central governments for improving their accountability and democracy making their budgetary figures transparent for all stakeholders. The results of this study confirm that differences do exist across countries under different administrative cultures.

Improving information quality of MR brain images by fully automatic and robust image analysis methods

Abstract— The medical experts are expected to make diagnosis on ever‐increasing amount of data. Although the intention with the technological advances in imaging devices, such as MRI (magnetic resonance imaging), is to improve the medical practice, the increased amount of data may make the medical expert's task even harder and could arguably be counter‐productive. A more desirable situation for the medical expert is the improvement in the clinical relevance of the image content and a faster, preferably automated, access to the most relevant part of the existing large amount of data. To this effect, the concept of information quality is introduced, and fully automatic, fast, and robust image analysis methods that improve it are proposed. As a guideline for a general framework, these methods are classified by the type of information they can improve: geometric, structural (sub‐organ), and organizational. The algorithmic contributions are in the domain of MR brain image analysis. These methods improve the information quality not only for the visualization and the diagnosis by the expert, but also for the quantification by other automated methods. The robustness of these algorithms has been extensively tested at the Leiden University Medical Center over a large database of 550 patients.

Test and evaluation of distributed information system networks

As information services become increasingly ubiquitous, and are being charged for, users are demanding the ability to choose the quality of an information service based on its cost. In this environment, delivering the right information to the right user at the right time, and with appropriate quality, is the challenge. In addition, resource optimizations must be performed to the degree possible. In this paper we introduce the concept of information quality based system evaluation. The key contribution is a framework in which user/application needs for information quality can be quantified in terms of rigorously defined metrics, existing systems can be evaluated against these metrics, and the tradeoffs between information quality and its cost of provisioning can be examined. Further, this provides an approach to developing information quality aware policies and mechanisms for the system. This framework has been partially validated by applying it to the provisioning of continuous media services, i.e., audio and video, in a distributed environment. This paper presents the case study in detail. Finally, the paper outlines a research program in the area of information quality based system evaluation.