Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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.

Journal reference: Systems 2021, 9, 36
DOI: 10.3390/systems9020036

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

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