Title: How to estimate the value of open intangible assets?

Author: Robert Viseur, University of Mons

Abstract: Open innovation practices are widespread in the industry. The software sector, marked by the rise of open source, is a striking example. This paper presents the preliminary results of an exploratory research on estimating the value of open intangible assets. Our approach favors simplicity and relies on a partial automation of the evaluation. An evaluation structure, distinguishing the different forms of value involved in open intangible assets, particularly applicable to software, is provided as an illustration of the proposed approach.

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Title: How much are digital platforms based on open collaboration? An analysis of technological and knowledge practices and their implications for the platform governance of a sample of 100 cases of collaborative platforms in Barcelona

Authors: Mayo Fuster and Ricard Espelt

Abstract: From the early cases of FLOSS and Wikipedia, the digital collaborative model of production and consumption has rapidly expanded to other spheres. This article explores to what extent this expansion has maintained the open character of the initial model, specifically the extent to which platform projects follow an open collaborative approach in their technological and knowledge policies and practices, and if this is also reflected in an open approach to governance. The empirical analysis is based on a sample of 100 cases in Barcelona. On the basis of this analysis, we conclude that open modalities of collaborative digital platforms are not prevalent. Around a third of the sample present open modalities of the dimensions analyzed. Different areas (technological, knowledge, or governance) showed different levels of diffusion of open practices. The cases which tended to be open in one dimension also tended to be open in the other dimensions. That is, the analysis points to a correlation between technological, data, and knowledge policies and open and democratic collaborative economy models. These results suggest the importance of open technology and knowledge in adopting an open and democratic collaborative model.

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Title: Wikipedian: a social identity between work and contribution

Author: Léo Joubert, Aix-Marseille University

Abstract: Contributors to the Wikipedia “free encyclopedia” identify themselves and are identified as “Wikipedians”. A Wikipedian does not leave his job when he becomes a Wikipedian. Nor does he become a Wikipedian in his workplace. The worker’s identity and the Wikipedian identity coexist in the social identity of an individual. On which patterns does this coexistence between worker’s identity and Wikipedian identity operate? Beyond the differences specific to the social identity of each contributor, we will try to show that singulars transactions all take place according to a finite number of patterns that it is possible to count. At this stage of our analysis, we are able to distinguish five identity patterns: employment, learning center, alternative development, continuity in upset, parallel arena. Our model aims to better understanding of why a contributor stay in Wikipedia and identifies himself as a contributor.

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Title: A clustering approach to infer Wikipedia contributors’ profile

Authors: Shubham Krishna, Romain Billot and Nicolas Jullien

Abstract: Recent studies have improved our knowledge about the different types or pro€files of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. We show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these pro€les with good accuracy and stability. Œis suggests that light monitoring of newcomers may be sucient to adapt the interaction with them and to increase the retention rate.

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Title: Match-Funding as a Formula for Crowdfunding: a Case Study on the Goteo.org Platform

Authors: Enric Senabre Hidalgo and Mayo Fuster Morell.

Abstract: Since crowdfunding first appeared, and with the proliferation of platforms in recent years, various systems and formulas of operation have appeared within the general crowdfunding model. One such system, still in its early days, is match-funding (co-funding between citizens and institutions), which permits public and private organizations to double financial contributions for projects from individual users. This paper focuses on the Goteo.org platform, a pioneer in the international development of this model. The advantages and impact of this method of crowdfunding compared to the traditional method is analyzed using data collected on the behavior in 14 match-funding calls for projects on Goteo.org in the last 5 years. The results show that match-funding campaigns are more likely to be successful, significantly increase average donations and generate new dynamics of institutional cooperation and proximity in the support for initiatives.

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