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Introducing the Privacy Aspect to Systems Thinking Assessment Method

Industrial Engineering and Management Department, Faculty of Engineering, Ariel University, Ariel 4077625, Israel
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Academic Editor: Oz Sahin
Systems 2021, 9(2), 36; https://doi.org/10.3390/systems9020036
Received: 9 March 2021 / Revised: 13 May 2021 / Accepted: 17 May 2021 / Published: 20 May 2021
(This article belongs to the Section Systems Engineering)
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 or 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 makes a significant contribution to improving the systems skills assessment process in particular, and lays the foundations for improving the evaluation of other skills or traits. View Full-Text
Keywords: systems thinking; privacy; questionnaire reliability; skills evaluation; systems engineers systems thinking; privacy; questionnaire reliability; skills evaluation; systems engineers
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MDPI and ACS Style

Hirschprung, R.S.; Kordova, S. Introducing the Privacy Aspect to Systems Thinking Assessment Method. Systems 2021, 9, 36. https://doi.org/10.3390/systems9020036

AMA Style

Hirschprung RS, Kordova S. Introducing the Privacy Aspect to Systems Thinking Assessment Method. Systems. 2021; 9(2):36. https://doi.org/10.3390/systems9020036

Chicago/Turabian Style

Hirschprung, Ron S., and Sigal Kordova. 2021. "Introducing the Privacy Aspect to Systems Thinking Assessment Method" Systems 9, no. 2: 36. https://doi.org/10.3390/systems9020036

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