Identifying Failures in Mobile Devices

Esmeralda Kadena () and András Keszthely
Additional contact information
Esmeralda Kadena: Óbuda University, Doctoral School on Safety and Security Sciences,Budapest, Hungary
András Keszthely: Óbuda University, Keleti Faculty of Business and Management, Institute of Management and Organisation, Budapest, Hungary

Interdisciplinary Description of Complex Systems - scientific journal, 2022, vol. 20, issue 3, 222-229

Abstract: Mobile devices are well-known communication tools. People, especially young people, cannot go even one step without them. Technological advancements provide better features, but at the same time, such systems still face security risks. Protective layers do exist, but some systems are automated and engineered, while others rely on humans. This work begins with examining some critical points related to the weakest link in the security chain: the human factor. Errors are given in the view of the Swiss Cheese Model by emphasizing the role of latent conditions in "holes". We found that the Swiss Cheese Model has some limitations. In order to enhance it, we have used the Failure Mode and Effect Analysis risk matrix methodology. Thus, we represent its application on mobile devices to demonstrate that it can give us more accurate results by identifying the most critical points where manufacturers should focus on. This work is based on qualitative data, and it provides the basis for quantitative research. In the end, we suggest that in order to obtain more accurate findings, the Failure Mode and Effect Analysis can be further extended.

Keywords: mobile device; SCM; FMEA; human errors; failures (search for similar items in EconPapers)
JEL-codes: C25 L15 L63 L96 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.indecs.eu/2022/indecs2022-pp222-229.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zna:indecs:v:20:y:2022:i:3:p:222-229

Access Statistics for this article

More articles in Interdisciplinary Description of Complex Systems - scientific journal from Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu
Bibliographic data for series maintained by Josip Stepanic ().