Designing, Producing and Using Artifacts in the Structuration of Firm Knowledge: Evidence from Proprietary and Open Processes of Software Development.

In the paper we study the recursive nature of artifacts in the production and the socialization of organizational knowledge. In this respect, artifacts are interpreted both as the product (output) of organizational knowledge processes and, at the same time, as tools easing the development of other artifacts. We compare different practices of knowledge creation and diffusion in complex software production processes with the aim of understanding the effects of interplay between (1) coordination and control practices, (2) mediating artifacts and development tools, and (3) interactions between different actors in the development process. We aim at identifying the peculiar traits emerging in contrasting development paradigms, namely the closed, fully proprietary one widespread in the gaming console industry, and the open model of free/open source software developmentvideo/computer game industry; artifacts; free/open source software; video game consoles

Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks

The latent block model (LBM) is a flexible probabilistic tool to describe interactions between node sets in bipartite networks, but it does not account for interactions of time varying intensity between nodes in unknown classes. In this paper we propose a non stationary temporal extension of the LBM that clusters simultaneously the two node sets of a bipartite network and constructs classes of time intervals on which interactions are stationary. The number of clusters as well as the membership to classes are obtained by maximizing the exact complete-data integrated likelihood relying on a greedy search approach. Experiments on simulated and real data are carried out in order to assess the proposed methodology.Comment: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.225-230, 2015, Proceedings of the 23-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015

Beyond cusp anomalous dimension from integrability in SYM4_4

We study the first sub-leading correction $O((\ln s)^0)$ to the cusp anomalous dimension in the high spin expansion of finite twist operators in ${\cal N}=4$ SYM theory. This term is still governed by a linear integral equation which we study in the weak and strong coupling regimes. In the strong coupling regime we find agreement with the string theory computationsComment: 5 pages, contribution to the proceedings of the workshop Diffraction 2010, Otranto, 10th-15th September, talk given by M.Rossi; v2: references adde

On the fundamental limitations of performance for distributed decision-making in robotic networks

This paper studies fundamental limitations of performance for distributed decision-making in robotic networks. The class of decision-making problems we consider encompasses a number of prototypical problems such as average-based consensus as well as distributed optimization, leader election, majority voting, MAX, MIN, and logical formulas. We first propose a formal model for distributed computation on robotic networks that is based on the concept of I/O automata and is inspired by the Computer Science literature on distributed computing clusters. Then, we present a number of bounds on time, message, and byte complexity, which we use to discuss the relative performance of a number of approaches for distributed decision-making. From a methodological standpoint, our work sheds light on the relation between the tools developed by the Computer Science and Controls communities on the topic of distributed algorithms.Comment: Will be presented at CDC201

A simple device for syringe-to-syringe transfer during lipofilling

[No abstract available

The elliptic scattering theory of the 1/2-XYZ and higher order Deformed Virasoro Algebras

Bound state excitations of the spin 1/2-XYZ model are considered inside the Bethe Ansatz framework by exploiting the equivalent Non-Linear Integral Equations. Of course, these bound states go to the sine-Gordon breathers in the suitable limit and therefore the scattering factors between them are explicitly computed by inspecting the corresponding Non-Linear Integral Equations. As a consequence, abstracting from the physical model the Zamolodchikov-Faddeev algebra of two $n$-th elliptic breathers defines a tower of $n$-order Deformed Virasoro Algebras, reproducing the $n=1$ case the usual well-known algebra of Shiraishi-Kubo-Awata-Odake \cite{SKAO}.Comment: Latex version, 13 page

KISS: Stochastic Packet Inspection Classifier for UDP Traffic

This paper proposes KISS, a novel Internet classifica- tion engine. Motivated by the expected raise of UDP traffic, which stems from the momentum of Peer-to-Peer (P2P) streaming appli- cations, we propose a novel classification framework that leverages on statistical characterization of payload. Statistical signatures are derived by the means of a Chi-Square-like test, which extracts the protocol "format," but ignores the protocol "semantic" and "synchronization" rules. The signatures feed a decision process based either on the geometric distance among samples, or on Sup- port Vector Machines. KISS is very accurate, and its signatures are intrinsically robust to packet sampling, reordering, and flow asym- metry, so that it can be used on almost any network. KISS is tested in different scenarios, considering traditional client-server proto- cols, VoIP, and both traditional and new P2P Internet applications. Results are astonishing. The average True Positive percentage is 99.6%, with the worst case equal to 98.1,% while results are al- most perfect when dealing with new P2P streaming applications

Intellectual capital and value co-creation: an empirical analysis from a marketing perspective

The aim of this study is to investigate intellectual capital (IC) drivers that may influence Italian consumers’ decision to participate in value co-creation (VCC) activities with firms. Given the exploratory nature of the research, after a review of the relevant literature, we conducted a survey among Italian consumers to see if IC principal sub-dimensions (i.e. Relational Capital, Human Capital and Structural Capital) played a role in triggering VCC processes. Using a Principal Component Analysis (PCA), we analyzed 270 usable questionnaires finding that, in order to decide to co-create value with firms, IC sub-dimensions actually play a critical role. Our findings showed that the motivations (i.e., IC components) that influence Italian consumers’ decision to participate in value co-creation activities with firms are quite homogeneous and similar both for those who already participated in past in these activities as well for those who never participated. The study has several managerial implications as well as limitations. In fact, the survey has been conducted only among Italian consumers and therefore the research should be extended by a geographically standpoint. Moreover, the research analyzed only the demand-side, while it would be certainly useful to know the point of view of companies also adopting other research methods (e.g., in-depth interviews). This study provides to practitioners important suggestions and warnings about the importance of the development of IC sub-dimensions to (co-)create value with external actors and consequently suggests the importance of adopting a “open” approach towards consumers to establish an effective and interactive relationship with them. The study fills a gap in the literature, since there are not so many references in literature for a deep understanding of the concrete relationship between IC and VCC. In addition, to our best knowledge this paper is the first that explore IC-related issues from a marketing perspective