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008			231130s2023 si | o |||| 0|eng d
020			_a9789819951345
024	7		_a10.1007/978-981-99-5134-5 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aHD61 _b2023 EB
100	1		_aNakamura, Takafumi _d1974- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9518183
245	1	0	_aSystem of Human Activity Systems : _bA Novel Way to Visualize Invisible Risks _cby Takafumi Nakamura
250			_a1st ed 2023
264		1	_aSingapore _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aTranslational Systems Sciences _x2197-8840 ; _v37
505	0		_aChapter 1: Introduction -- Chapter 2: Survey for current methodologies -- Chapter 3: Proposal of new methodology to overcome current methodological shortcomings -- Chapter 4: Risk quantification/visualization methodology -- Chapter 5: Discussion -- Chapter 6: Conclusion.
520			_aThis book has unique features that set it apart from conventional books on the prevention of system failures in that it provides a method that views human activities from a meta-methodological perspective based upon an inter-disciplinary understanding of human activities. With these characteristics, the book also proposes a common methodological basis to apply to various problems surrounding society today such as an aging social infrastructure; the safety of food, medicine, and public transportation; and the creation of sustainable electricity and cybersecurity. Furthermore, since the failure of human activities is expressed in a three-dimensional space and the topological metrics are implemented, the failure trajectories can be quantitatively monitored in time series to take effective preventive measures. Considering the implementation of the topological metrics, the causes of each failure are classified into two dimensions of the degree of coupling between system elements and the interaction between the target system and the external environment. Owing to the nature of the introduction of topological metrics, all individual and diverse systems can share general topological metrics. Consequently, understanding various failures over cross-industries is possible with the use of common meta-systemic language and mutual learning between different industries, and the solution of social problems can be effectively achieved. A system of system failures (SOSF) proposed and confirmed the effectiveness of this meta-methodology for information and communication technologies (ICT) systems and the SOSF is extended to human activity systems (SOHAS: system of human activity systems) as a whole. Therefore, the SOHAS becomes an academic foundation for theoretical research on meta-methodology, and it has an impact on practitioners to prevent system failures by accumulating knowledge of failures and learning from other industries.
988			_aSpringer_Business_2023
650		7	_2embne _926276 _aGestión del riesgo
830		0	_aTranslational Systems Sciences, _x2197-8840 ; _v37
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-5134-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b01/2024 _db _ee _zSI