1,721,020 research outputs found
Approccio sistemico e regolamentazione dei mercati finanziari: un’interpretazione attraverso l’ Agent Based Approach
No full textIntelligenze Artificiali. Elementi di Economia e Management
No full textIl processo di digitalizzazione e innovazione tecnologica risulta essere sempre più permeante nelle strategie di Marketing e soprattutto nello sviluppo della customer experience: l’Intelligenza Artificiale (Artificial Intelligence, AI) occupa un ruolo significativo per il raggiungimento di un vantaggio competitivo per le imprese in un contesto altamente dinamico e incerto – come quello attuale – e, in tale prospettiva, il Marketing assume un ruolo significativo nel percorso esperienziale del cliente. Le attuali strategie di Marketing, attraverso l’utilizzo delle c.d. tecnologie dirompenti, dell’AI e tutti gli strumenti tecnologici e digitali disponibili, riescono a migliorare vertiginosamente la capacità di coinvolgere il cliente durante tutto il customer journey e, allo stesso tempo, sono in grado di acquisire ed elaborare dati ed informazioni relative al target cliente al fine di pianificare una strategia di customer experience ad hoc, altamente personalizzata ed efficiente, oltre che su larga scala
Biased Decision Making Caused by an Environmental Crisis: A Model Based on Reinforcement Learning
No full textIl rapporto Pubblico-Privato: partnership strategica da scelta a necessità per l’innovazione
No full textImpact of process innovation on enterprise networks for competences exchange: E3, a multi agent based model
No full textA business process is a set of logically related tasks performed to achieve a defined business and related to improving organizational processes. A process innovation can happen at various levels: incremental way, redesign of existing processes, totally new processes. The knowledge behind a process innovation can be shared, acquired, changed and increased by the enterprises inside a network. An enterprise can decide to exploit the innovative process it owns, thus potentially gaining competitive advantage, but risking, in turn, that other players could reach the same technological level. Or it could decide to share it, in exchange for other competencies or money. These activities could be the basis for a network formation and/or impact the topology of an existing network, by changing the number and topology of ties and links. In the present work an agent based model is introduced (E3), that aims to explore how a process innovation can facilitate network formation of existing enterprises, affect the network topology (e.g.: an enterprise owning an innovative process could become a focal point), induce new players to enter the market and spread onto the network by being shared or internally acquired by new players
Impact of process innovation on enterprise networks for competences exchange: E3, a multi agent based model
No full textA business process is a set of logically related tasks performed to achieve a defined business and related to improving organizational processes. A process innovation can happen at various levels: incremental way, redesign of existing processes, totally new processes. The knowledge behind a process innovation can be shared, acquired, changed and increased by the enterprises inside a network. An enterprise can decide to exploit the innovative process it owns, thus potentially gaining competitive advantage, but risking, in turn, that other players could reach the same technological level. Or it could decide to share it, in exchange for other competencies or money. These activities could be the basis for a network formation and/or impact the topology of an existing network, by changing the number and topology of ties and links. In the present work an agent based model is introduced (E3), that aims to explore how a process innovation can facilitate network, formation of existing enterprises, affect the network topology (e.g.: an enterprise owning an innovative process could become a focal point), induce new players to enter the market and spread onto the network, by being shared or internally acquired by new players
Evaluating the role of individual perception in it outsourcing diffusion: An agent based model
No full textThe decision to adopt innovations has been investigated using both international patterns and behavioural theories. In this work, an agent-based (AB) model is created to study the spreading of innovation in enterprises (namely, the adoption of Information Technology outsourcing). The paradigm of AB simulation makes it possible to capture human factors, along with technical ones. This makes it possible to study the influence of perception, and the resulting bias. This work is focused on small and medium enterprises (SME), in which a restricted managing pool (sometimes just one person) decides whether to adopt a new technology or not, and bases the decision mainly on perception
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Incomplete torsion of the spermatic cord: Testicular injury [Le torsioni incomplete del funicolo: danno testicolare]
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