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![]() Jonard, Nicolas ![]() in Industrial and Corporate Change (2023), 32(1), 181-207 Detailed reference viewed: 24 (2 UL)![]() ; ; Jonard, Nicolas ![]() E-print/Working paper (2015) Detailed reference viewed: 192 (14 UL)![]() ; Jonard, Nicolas ![]() Scientific Conference (2014, November) Detailed reference viewed: 107 (1 UL)![]() ; Jonard, Nicolas ![]() in Journal of Economic Behavior and Organization (2014), 100 Detailed reference viewed: 238 (21 UL)![]() ![]() ; Jonard, Nicolas ![]() Scientific Conference (2013, June) Detailed reference viewed: 61 (6 UL)![]() ; Jonard, Nicolas ![]() in Burger-Helmchen, Thierry (Ed.) The Economics of Creativity: Ideas, Firms and Markets (2013) Detailed reference viewed: 179 (121 UL)![]() ; ; Jonard, Nicolas ![]() in Strategic Management Journal (2013) Detailed reference viewed: 326 (138 UL)![]() ; ; Jonard, Nicolas ![]() Scientific Conference (2012, August) Detailed reference viewed: 45 (0 UL)![]() ; Jonard, Nicolas ![]() Presentation (2012, May) Detailed reference viewed: 55 (2 UL)![]() ; ; Jonard, Nicolas ![]() Scientific Conference (2011) Detailed reference viewed: 54 (0 UL)![]() ; ; Jonard, Nicolas ![]() in Management Science (2010), 56 Detailed reference viewed: 231 (8 UL)![]() ; Jonard, Nicolas ![]() in Academy of Management Review (2009), 34 Detailed reference viewed: 169 (4 UL)![]() ; ; et al Report (2009) This paper investigates how technological distance between firms affects their network of R\&D alliances. Our theoretic model assumes that the benefit of an alliance between two firms is given by their ... [more ▼] This paper investigates how technological distance between firms affects their network of R\&D alliances. Our theoretic model assumes that the benefit of an alliance between two firms is given by their technological distance. This benefit-distance relationship determines the ego-network of each firm as well as the overall network structure. Empirical relevance is confirmed for the bio-pharmaceutical industry. Although we find that the network structure is largely explained by firm size, technological distance determines the positioning of firms in the network. [less ▲] Detailed reference viewed: 105 (3 UL)![]() ; Jonard, Nicolas ![]() in Advances in Strategic Management (2008), 25 Detailed reference viewed: 76 (11 UL)![]() ![]() Jonard, Nicolas ![]() in Journal of Economic Interaction and Coordination (2007), 2(2), 93-110 We model knowledge diffusion in a population of agents situated on a network, interacting only over direct ties. Some agents are by nature traders, others are by nature "givers": traders demand a quid pro ... [more ▼] We model knowledge diffusion in a population of agents situated on a network, interacting only over direct ties. Some agents are by nature traders, others are by nature "givers": traders demand a quid pro quo for information transfer; givers do not. We are interested in efficiency of diffusion and explore the interplay between the structure of the population (proportion of traders), the network structure (clustering, path length and degree distribution), and the scarcity of knowledge. We find that at the global level, trading (as opposed to giving) reduces efficiency. At the individual level, highly connected agents do well when knowledge is scarce, agents in clustered neighbourhoods do well when it is abundant. The latter finding is connected to the debate on structural holes and social capital. [less ▲] Detailed reference viewed: 138 (18 UL)![]() ![]() Jonard, Nicolas ![]() in Journal of Economic Behavior and Organization (2007), 64(3-4), 295-315 In this paper we study a society in which individuals gain utility from income and from social approbation. Income is correlated with class. Approbation is given to an unobservable trait, which must be ... [more ▼] In this paper we study a society in which individuals gain utility from income and from social approbation. Income is correlated with class. Approbation is given to an unobservable trait, which must be signalled through the agent’s social mobility, i.e. class change. Mobility is driven by a simple mechanism involving inheritance, effort and ability. Thus social structure (class composition) is affected by individuals’ quest for approbation, and we study how that affects the emergence and multiplicity of long run social organizations, including hybrid forms of dynasties and meritocracies. Specifically we observe that even though social mobility is driven purely by a meritocratic mechanism, pure dynasties can emerge. We then introduce a feedback between the size of the upper class and its income value, so that effort levels and social structure are jointly endogenous. We derive results on equilibrium effort levels and stationary (when they exist) social structures. Social organization can converge to a unique steady state, multiple long run equilibria or cycles. [less ▲] Detailed reference viewed: 120 (11 UL)![]() Jonard, Nicolas ![]() in International Journal of Agricultural Resources, Governance & Ecology (2007), 6(2), 165-178 We model knowledge diffusion as agents exchanging ideas through a barter process. The model builds on empirical observations of informal knowledge trading among competing agents. The process takes place ... [more ▼] We model knowledge diffusion as agents exchanging ideas through a barter process. The model builds on empirical observations of informal knowledge trading among competing agents. The process takes place on a network substrate in which agents are nodes, and can trade only with those to whom they have direct links (edges). When two agents meet, they make a mutually profitable trade. This process repeats, and is the foundation on which knowledge diffuses through the economy. Our interest is in how the structure of the network affects diffusion performance. The extent of idea diffusion is affected both by the circumference of the graph and by local coherence: diffusion is most efficient when the network is a small world. The distribution of knowledge over agents is also most equal when networks are small worlds. [less ▲] Detailed reference viewed: 117 (1 UL)![]() ![]() Jonard, Nicolas ![]() in Management Science (2007), 53(7), 1051-1067 In this paper, we model the formation of innovation networks as they emerge from bilateral decisions. In contrast to much of the literature, here firms only consider knowledge production, and not network ... [more ▼] In this paper, we model the formation of innovation networks as they emerge from bilateral decisions. In contrast to much of the literature, here firms only consider knowledge production, and not network issues, when deciding on partners. Thus, we focus attention on the effects of the knowledge and information regime on network formation. The effectiveness of a bilateral collaboration is determined by cognitive, relational, and structural embeddedness. Innovation results from the recombination of knowledge held by the partners to the collaboration, and its success is determined in part by the extent to which firms’ knowledge complement each other. Previous collaborations (relational embeddedness) increase the probability of a successful collaboration, as does information gained from common third parties (structural embeddedness). Repeated alliance formation creates a network. Two features are central to the innovation process: how firms pool their knowledge resources, and how firms derive information about potential partners. When innovation is decomposable into separate subtasks, networks tend to be dense; when structural embeddedness is important, networks become cliquish. For some regions in this parameter space, small worlds emerge. Key Words: networks; innovation; knowledge; collaborative R&D; embeddedness [less ▲] Detailed reference viewed: 294 (8 UL)![]() ![]() ; Jonard, Nicolas ![]() in Journal of Evolutionary Economics (2006), 16 Detailed reference viewed: 90 (2 UL)![]() ; Jonard, Nicolas ![]() in Soete, Luc; Ter Weel, Bas (Eds.) The Economics of the Digital Society (2005) Detailed reference viewed: 41 (0 UL) |
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