Merged Datasets: An Analytic Tool for Evidence-Based Management

California Management Review.52 (1), pp.120-139, 2009

Posted: 9 Mar 2013 Last revised: 2 Oct 2017

See all articles by Palmer Morrel-Samuels

Palmer Morrel-Samuels

Employee Motivation and Performance Assessment; University of Michigan at Ann Arbor - School of Public Health

Edward Francis

Independent

Steve Shucard

Independent

Date Written: October 1, 2009

Abstract

Many businesses fail to merge and analyze data effectively. When data are merged from diverse independent sources across a business — something that is now practical and inexpensive — it becomes possible to conduct rigorous pretest-posttest comparisons of complex datasets with a precision, speed, and breadth that have not been practical until now. This paper describes a straightforward method for merging independent datasets and using the compiled data to run informative quantitative analyses that facilitate sound decision-making. Our approach can help support several critical tasks in evidence-based management: documenting changes in the corporate culture; measuring linkages between “soft” perceptual variables and “hard” performance metrics; conducting rigorous pretest-posttest comparisons; and evaluating program effectiveness. We provide case-study examples using merged datasets, along with a brief discussion of experimental designs, underlying theory, pitfalls, impediments, and essential features.

Suggested Citation

Morrel-Samuels, Palmer and Francis, Edward and Shucard, Steve, Merged Datasets: An Analytic Tool for Evidence-Based Management (October 1, 2009). California Management Review.52 (1), pp.120-139, 2009. Available at SSRN: https://ssrn.com/abstract=2230068

Palmer Morrel-Samuels (Contact Author)

Employee Motivation and Performance Assessment ( email )

210 Park St.
Chelsea, MI 48118
United States
734-368-3348 (Phone)

HOME PAGE: http://SurveysForBusiness.com

University of Michigan at Ann Arbor - School of Public Health ( email )

1415 Washington Heights
Ann Arbor, MI 48109-2029
United States
734-368-3348 (Phone)

Edward Francis

Independent ( email )

Steve Shucard

Independent ( email )

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