Developing a Measurement Instrument for Subjective Aspects of Information Quality

  title={Developing a Measurement Instrument for Subjective Aspects of Information Quality},
  author={Rosanne J. Price and Dina Neiger and Graeme G. Shanks},
  journal={Commun. Assoc. Inf. Syst.},

Figures and Tables from this paper

Adaptation au domaine bancaire du modèle d'évaluation du succès des systèmes d'information (ISSM) de Delone et McLean
En s’appuyant sur le modele de Delone et McLean (2003) (Information System Success Model – ISSM), cet article propose un modele d’evaluation du succes des systemes d’information bancaires de
Individual Risk Perception and Choice using Cryptocurrency for Transactions
This preliminary empirical study suggests that risk perception is of the same magnitude as online risk in e-Commerce but different from those in social and financial situations.
The Role of the Perceived Quality of Information and of the Risk – taking Propensity for News Sharing on Facebook
This model combines content enjoyability and perceived information relevance are predictors for news sharing for both groups and shows that perceived reliability and risk-taking propensity do not influence news sharing.
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing
This work focuses on the development of an algorithm that exploits context awareness to improve the reliability of MCS collected data, and has been validated against some real use cases for noise pollution and promises to improved the trustworthiness of end users generated data.
Data literacy in the supply chain — groundwork for big data potentials in cross-company value chains
The information supply chain illustrates the need for proactive data management in the supply chain and a maturity model for data management competency is developed based on a large‐scale empirical study.
Proaktives Risikomanagement als Unterstützung einer nachhaltigen Beschaffung
Um Nachhaltigkeit zu erreichen, benotigen Unternehmen einen ganzheitlichen und risikoadjustierten Planungsprozess. Fur die Umsetzung des Prozesses bedarf es transparenter Datenbestande und eines
An Overview of Data Quality Frameworks
Data quality frameworks are surveyed in a comparative way regarding the definition, assessment, and improvement of data quality with a focus on methodologies that are applicable in a wide range of business environments to aid the decision process concerning the suitability of these methods.
What is information? Toward a theory of information as objective and veridical
This paper develops and defends a particular theory of information that sees information as both objective and veridical, and discusses four contentious issues – information as objective rather than subjective; information as true or correct; information and knowledge; and information and the ambiguity of meaning.


Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing
A model consisting of nine fundamental determinants of quality in an information technology context, four under the rubric of information quality and five that describe system quality are developed, suggesting that the determinants are indeed predictive of overall information and system quality in data warehouse environments.
Survey Errors and Survey Costs
Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits
An Overview of Total Quality Data Management (TQdM), Assessing Data Definition and Information Architecture Quality, and Application of Quality Management Principles to Information.
Applied Business research: Qualitative and Quantitative Methods
The research report provides a refresher on some statistical terms and describes the research process in terms of values and methodology, methodology, and results.
Advanced Quantitative Data Analysis
The series editor's forewordPrefaceIntroductiongrouping quantitative variables together, an introduction to analysis of variance and covariance and related one-way analysis of covariance.
Discovering statistics using SPSS for Windows.
The present book by Andy Field is a rare and excellent combination of both statistical theory as well as statistical treatment of the data using SPSS under one umbrella.