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Decision Support Systems, Volume 126

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Volume 126, November 2019

Perspectives on Numerical Data Quality in IS Research

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James R. Marsden, David E. Pingry, Jason Bennett Thatcher:
Perspectives on numerical data quality in IS research.
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  - journals/dss/HuiLL19
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Wendy Hui, Siu Man Lui, Wai Kwong Lau:
A reporting guideline for IS survey research.
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  - journals/dss/TimmermanB19
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Yoram Timmerman, Antoon Bronselaer:
Measuring data quality in information systems research.
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John Qi Dong:
Numerical data quality in simulation research: A reflection and epistemic implications.
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  - journals/dss/Vial19
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Gregory Vial:
Reflections on quality requirements for digital trace data in IS research.
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  - journals/dss/Lee-PostP19
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Anita Lee-Post, Ramakrishnan Pakath:
Numerical, secondary Big Data quality issues, quality threshold establishment, & guidelines for journal policy development.
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  - journals/dss/JetleyZ19
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Gaurav Jetley, He Zhang:
Electronic health records in IS research: Quality issues, essential thresholds and remedial actions.
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  - journals/dss/OLeary19a
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Daniel E. O'Leary:
Technology life cycle and data quality: Action and triangulation.
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