1,721,034 research outputs found
Il circolo virtuoso della “sintropia” (CVS): un modello interpretativo Caos Vs Cosmo per gestire la complessità.
No full textObiettivo del lavoro – Minimizzare l’alea decisionale indotta dalla complessità,
considerando che la prassi manageriale tende alla semplificazione dell’incertezza attraverso
percorsi e modelli non lineari e razionali.
Metodologia – Il framework integrato Approccio Sistemico Vitale (ASV) e Programmazione
Neuro-Linguistica (PNL) rappresentano la cornice metodologica assunta per la qualificazione
di un modello intuitivo di riduzione del Caos decisionale.
Risultati – Attraverso una serie di step di semplificazione degli scenari, le imprese possono
leggerne le caratterizzazioni ed implementare processi di riduzione dal “Caos di Scenario” al
“Cosmo di Contesto” per effetto del Circolo Virtuoso di Sintropia (CVS). Tale circolo è sia
una logica, sia uno strumento utile per ridurre l’alea decisionale in condizioni di forte
incertezza.
Limiti della ricerca – Il modello CVS è di tipo intuitivo che, pur mancando di esaustive
applicazioni, appare comunque in grado di traslare dal Caos al Cosmo in una modalità
“sfocata”, ma maggiormente intellegibile dal decisore: in ragione anche della forte variabilità
degli scenari, il “contesto” definito va monitorato e verificato.
Implicazioni pratiche – La logicità del modello risiede nella capacità dei processi sintropici
di garantire l’omeostasi dinamica (omeoresi) dei sistemi in contesti variabili ed incerti. La
trasduzione dal Caos ambientale a forte “entropia” al Cosmo di contesto sintropico,
rappresenta un must manageriale a cui il modello CVS contribuisce a dare risposta.
Originalità del lavoro – Proposta di un modello di “semplificazione” e di “sostenibilità” dei
percorsi di riduzione della complessità in complicazione decisionale, arricchendo la
strumentazione già affermata e condivisa negli studi managerial
Linee e azioni di knowledge management per la competitività della filiera agro-alimentare
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Rethinking the concept of Ethics for Public Corporate Identity
No full textIn current debate a pertinent question pivots on how service systems can develop sensitivity to ethical values. In this
perspective, we can assert that, sensitivity to ethical values is fundamental and corporate government (as observer)
in designing service systems dynamics and addressing behaviors generally tends to transfer its own values, attitudes,
beliefs and knowledge. As a result, observation requires contextualizing.
Considering that the ethical issue is a subjective issue, it might be more appropriate to discuss observation in terms
of ethical judgment. If we analyze a service system, its behavior and observer perceptions of its behavior, it emerges
that ethical judgment depends on observer ethics with reference to observed behavior.
The aim of this paper is to interpret subjective ethical behavior guided by the values individuals live by and share, in
order to foster lasting and defendable corporate competitive advantage from a service system perspective. By
confronting this issue, we believe that re-thinking the concept of ethics could contribute to the development of a
“healthy culture” in Public companies which would lay the foundations for the shaping of a strong corporate
identity
Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
No full textAre machines smarter than humans? What will happen of our
species if artificial intelligence (AI) becomes so advanced that it
can no longer be controlled? Is the uniqueness of human beings
at risk? These are just some of the questions that grip computer
science experts as much as ordinary people who experience
technological development day in and day out. In our paper, the
current scenario will be analysed, from the search for a definition
of human intelligence to the historical stages marking the birth
and development of technologies capable of emulating many of
its facets. The discussion will focus on the main differences
between man and machine in the interpretation and replication of
the concept of intelligence, highlighting the diversity of approach
between an inherently complex entity (man) and a linearly
functioning system (machine). The purpose will be trying to
provide insights to answer the initial questions, by analysing
possibilities and limitations of the main AI emulation techniques.
The optimistic view offered by our work suggests that the
machine's highest aspiration can only come down to the sheer
emulation of our behaviours: machines’ linearity will always
remain in the service of human complexity, never vice versa
Refraiming Innovation: Service Science & Governance
No full textIf we believe in innovation, change that improves quality of life, and we believe that service innovation can
accelerate these positive changes in business (for customers) and society (for citizens), then we need to ask what
rules of the game help maximize service innovation? Our paper aims to reframe the Rules of Innovation from a
Service Science perspective as the study of different, interconnected, complex “human-centered value co-creation
systems” in business and society. As an emerging trans-discipline, Service Science draws on many existing
academic disciplines, creating a new whole, while enhancing the parts without replacing them. This requires a
change in perspective focusing on the fact that Service Innovation opportunities (in education, research, practice and
policy) depend on the improving interactions with other service systems strictly connected to the capability to
perceive the service context. Consequently, we believe that new governance mechanisms might support policy
makers at any decisional level (regional, local, national) contributing the useful scaling of new service innovations
in health, education, government, finance, hospitality, retail, communications, transportation, energy, utilities
L’obiezione di coscienza alle vaccinazioni obbligatorie: un profilo legislativo e concettuale
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