nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2011‒10‒22
three papers chosen by
Laura Stefanescu
European Research Centre of Managerial Studies in Business Administration

  1. Bivariate Probit Models for Analysing how “Knowledge” Affects Innovation and Performance in Small and Medium Sized Firms By FARACE, Salvatore; MAZZOTTA, Fernanda
  2. Knowledge Growth and the Allocation of Time By Robert E. Lucas, Jr.; Benjamin Moll
  3. Knowledge Flows and Capability Building in the Indian IT Sector: A Comparative Analysis of Cluster and Non-Cluster Locations By Basant, Rakesh; Chandra, Pankaj; Upadhyayula Rajesh

  1. By: FARACE, Salvatore (CELPE - Centre of Labour Economics and Economic Policy, University of Salerno - Italy); MAZZOTTA, Fernanda (CELPE - Centre of Labour Economics and Economic Policy, University of Salerno - Italy)
    Abstract: This paper examines the determinants of innovation and its effects on small- and medium-sized firms We use the data from the OPIS databank, which provides a survey on a representative sample of firms from a province of the Southern Italy. We want to study whether small and medium sized firms can have a competitive advantage using their innovative capabilities, regardless of their sectoral and size limits. The main factor influencing the likelihood of innovation is knowledge, which is acquired through different ways. The econometric methodology consists of two bivariate models in order to estimate the probability of increased sales conditioned to the probability of innovation. We found that knowledge positively influences the probability of innovation; at the same time, knowledge has also a positive indirect effect on the increase of sales through innovation.
    Keywords: innovation; small and medium sized firms; human capital; networks; bivariate probit
    JEL: C24 C25 O31
    Date: 2011–10–11
    URL: http://d.repec.org/n?u=RePEc:sal:celpdp:0120&r=knm
  2. By: Robert E. Lucas, Jr.; Benjamin Moll
    Abstract: We analyze a model economy with many agents, each with a different productivity level. Agents divide their time between two activities: producing goods with the production-related knowledge they already have, and interacting with others in search of new, productivity-increasing ideas. These choices jointly determine the economy’s current production level and its rate of learning and real growth. Individuals’ time allocation decisions depend on the knowledge distribution because the productivity levels of others determine their own chances of improving their productivities through search. The time allocations of everyone in the economy in turn determine the evolution of its knowledge distribution. We construct the balanced growth path for this economy, thereby obtaining a theory of endogenous growth that captures in a tractable way the social nature of knowledge creation. We also study the allocation chosen by an idealized planner who takes into account and internalizes the external benefits of search, and tax structures that implement an optimal solution. Finally, we provide two examples of alternative learning technologies, as concrete illustrations of other directions that might be pursued.
    JEL: O0 O15
    Date: 2011–10
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:17495&r=knm
  3. By: Basant, Rakesh; Chandra, Pankaj; Upadhyayula Rajesh
    Abstract: The role of industrial clusters in the industrialization of many emerging economies continues to dominate the debate among policy makers and researchers worldwide. While recent discussions on this debate have focused on knowledge spillovers among participants within clusters, knowledge flows between non local networks and the cluster actors have not been accorded due attention in the literature. Further, the literature does not compare the relative impact of knowledge flows among firms within clusters and firms outside clusters. In this study, we attempt a comparative analysis of the role of knowledge flows in capability formation among firms in the Indian Information Technology sector (IT sector) across cluster and non-cluster locations. The empirical results suggest that at the firm level, leveraging of capabilities to enhance performance and networks to build capabilities is not automatic; structural features of the firms’ location enable this transformation. Moreover, while capabilities affect performance of firms positively only in clusters, economies of scale and some strategies like quality certification used by firms impact performance of firms outside clusters. Interestingly, although economies of scale do not impact the performance of firms within clusters, they do, however affect the capability formation of firms within clusters only. Further, we found that local and national non-customer networks affect capability formation of firms within and outside clusters whereas international customer networks affect capability formation of firms within clusters only. These have implications for how firms can develop appropriate strategies to enhance their performance.
    Keywords: Industrial Clustering, Information Technology industry, Networks, Capabilities
    URL: http://d.repec.org/n?u=RePEc:iim:iimawp:10677&r=knm

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