Information Quality: The Potential of Data and Analytics to Generate Knowledge
, Information Quality: The Potential of Data and Analytics to Generate Knowledge: John Wiley & Sons, pp. 384, 2016.
Statistical Strategy
Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure
, "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure", Information Systems Research, vol. 31, issue 4, pp. 1183–1199, 2020.
PLS-based model selection: the role of alternative explanations in information systems research
, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.
Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers
, "Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers", Big data, 2019.
Research Dilemmas With Behavioral Big Data
, "Research Dilemmas With Behavioral Big Data", Big Data, vol. 5, issue 2, pp. 98-119, 2017.
Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues
, "Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues", Quality Engineering, vol. 29, issue 1, pp. 57-74 and 88-90, 2017.
From Quality to Information Quality in Official Statistics
, "From Quality to Information Quality in Official Statistics", Journal of Official Statistics, vol. 32, issue 4, pp. 1–19, 2016.
The elephant in the room: Predictive performance of PLS models
, "The elephant in the room: Predictive performance of PLS models", Journal of Business Research, vol. 69, issue 10, pp. 4552–4564, 2016.
Rejoinder: Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research
, "Rejoinder: Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research", Statistical Journal of the IAOS, vol. 32, issue 1, pp. 33-35, 2016.
Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research
, "Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research", Statistical Journal of the IAOS, vol. 32, issue 1, pp. 11-19, 2016.
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