Article
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Introducing the Privacy Aspect to Systems Thinking Assessment Method
Version 1
: Received: 28 February 2021 / Approved: 1 March 2021 / Online: 1 March 2021 (17:19:52 CET)
A peer-reviewed article of this Preprint also exists.
Hirschprung, R.S.; Kordova, S. Introducing the Privacy Aspect to Systems Thinking Assessment Method. Systems 2021, 9, 36. Hirschprung, R.S.; Kordova, S. Introducing the Privacy Aspect to Systems Thinking Assessment Method. Systems 2021, 9, 36.
Abstract
Systems thinking is a valuable skill that may be required for an individual to be promoted in the business arena to managerial or leading positions. Thus, assessing systems thinking skills is an essential transaction for decision-makers in the organization as a preceding step to the promotion decision. One of the well-known and validated tools for this task is a questionnaire. However, because some of the questions invade the employee / candidate’s privacy, the answer may be biased. In this paper, we consider this potential bias, a phenomenon that is becoming more and more significant as privacy concerns and awareness continuously increase in the modern digital world. We propose a formal methodology to optimize the questionnaire based on the privacy sensitivity of each question, thereby providing a more reliable assessment. We conducted an empirical study (n=142), and showed that a systems skills questionnaire can be enhanced. This research has a significant contribution to improving the systems skills assessment process in particular, and also lays the foundations for improving the evaluation of other skills / traits.
Keywords
systems thinking; privacy; questionnaire reliability; skills evaluation; systems engineers
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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