Deming’s: Management’s Responsibility for the Utilization of Statistical Techniques in Industry

Authors

  • David Fogarty Baruch College, Columbia University in the City of New York, New York University, University of Liverpool / City University of New York, New York, USA.

DOI:

https://doi.org/10.9734/bpi/nvst/v6/1981C

Keywords:

BIG DATA, six sigma, analytics, statistics, hypothesis, testing, TQM, strategy, competition

Abstract

In his main paper published in 1953, William Edwards Deming stated that improved quality through the use of statistical techniques can provide firms with a competitive advantage. He also stated that in order to achieve a wider and more effective use of these techniques, top management should not only become familiar with the results of statistical methods; they should also study organisational problems in order to achieve a wider and more effective use of these methods. This paper investigates Deming's original premise and assesses its contribution and lessons for the modern post-industrial world, in which BIG Data is collected and is used by many firms across a wide range of industries in an effort to gain a competitive advantage through statistical analysis. It also dispels the common misconception that competing on analytics is something new and novel, which serves as a wake-up call for managers in analytically challenged organisations, as they will now be underinvesting in a function that has been around for over half a century.

Published

2021-10-02

How to Cite

David Fogarty. (2021). Deming’s: Management’s Responsibility for the Utilization of Statistical Techniques in Industry. New Visions in Science and Technology Vol. 6, 161–167. https://doi.org/10.9734/bpi/nvst/v6/1981C