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on Knowledge Management and Knowledge Economy |
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Issue of 2009‒01‒03
twelve papers chosen by Laura Stefanescu European Research Centre of Managerial Studies in Business Administration |
| By: | Muge Ozman |
| Abstract: | In this paper I differentiate between two types of benefits of open innova- tion. Network externalities e¤ect happens when open innovation increases the participation of one group of users which increases the value of adoption for another group of users. Learning e¤ect happens when economic actors increase their knowledge through access to external sources of knowledge. I investigate how each effect can be dominant depending on nature of products, by drawing upon previous research in product modularity. In addition I discuss the fac- tors which will strengthen or weaken the e¤ects of each dimension. The main variables which influence learning are, tacitness of knowledge, technological op- portunities, appropriability of knowledge and turbulence. Network externalities e¤ect can be strengthened by increased user innovation. |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:ulp:sbbeta:2008-24&r=knm |
| By: | Widad Guechtouli (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille II - Université Paul Cézanne - Aix-Marseille III - Ecole des Hautes Etudes en Sciences Sociales - CNRS : UMR6579) |
| Abstract: | Knowledge diffusion is a complex process. Knowledge is intangible and therefore is not easy to capitalize within an organization, or share between a set of individuals. The aim of this paper is to study the impact of two different structures of communication on both processes of knowledge transfer and individual learning, in the context of a community of practice. We will specifically compare two types of communication structures (through face-to-face interactions and through a forum) by using agent-based models. Results show that each structure has a different impact on individual learning and knowledge transfer. Though, communication through face-to-face interactions seems to make individuals learn slower than on a web forum. Conclusions are widely discussed. |
| Keywords: | knowledge; communication structure; communities of practice; agent-based models |
| Date: | 2008–12–22 |
| URL: | http://d.repec.org/n?u=RePEc:hal:wpaper:halshs-00349033_v1&r=knm |
| By: | Grimpe, Christoph; Hussinger, Katrin |
| Abstract: | Literature has identified formal and informal channels in university technology transfer. While formal technology transfer typically involves a legal contract on a patent or on collaborative research activities, informal transfer channels refer to personal contacts and hence to the tacit dimension of knowledge transfer. Research is, however, scarce regarding the interaction of formal and informal transfer mechanisms. In this paper, we analyze whether these activities are mutually reinforcing, i.e. complementary. Our analysis is based on a comprehensive dataset of more than 2,000 German manufacturing firms. We perform direct and indirect tests for the complementarity of formal and informal technology transfer. Our results confirm a complementary relationship: using both transfer channels contributes to higher innovation performance. The management of the firm should therefore strive to maintain close informal relationships with universities to realize the full potential of formal technology transfer. |
| Keywords: | University technology transfer, complementarity, innovation performance |
| JEL: | L24 O31 |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:7422&r=knm |
| By: | Ejermo, Olof; Gråsjö,Urban |
| Abstract: | This paper examines the effects of regional R&D on patenting for Sweden within an accessibility framework. We use two measures of patenting: number of patents granted per capita and a composite of quality-adjusted patents which we regard as an innovation indicator, respectively. Three conclusions emerge. First, we find that the specification where innovations per capita is used as a dependent variable performs much better than with granted patents per capita for capturing relationships with regional R&D. In fact, quantile regressions over the distribution of different patenting and innovation levels per capita show that R&D efforts within regions affect innovations per capita positively, except for the regions with the lowest levels of R&D. The effects on granted patents per capita are less robust and depend inconsistently on the level of R&D. Secondly, accessibility to inter-regional R&D do not affect innovation significantly in our results, which suggests that effects are locally bounded. This implies that studies of the R&D-innovation relationship are plagued by misspecification, since studies tend to show that R&D-effects diffuse to other regions. This is also the case in our study; the inter-regional effects are an important factor for granted patents. Third, the share of university R&D of all regional R&D has no effect on patenting, which suggests that the two types of R&D are substitutes. In view of these results the recommendation must be to use quality-adjusted patents for regional innovation studies rather than patent grants. |
| Keywords: | R&D, patenting, innovations, regions, spatial dependence. |
| JEL: | O31 O32 O33 O34 O38 N5 O47 R58 |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:cil:wpaper:136&r=knm |
| By: | Yucan Liu; C. Richard Shumway (School of Economic Sciences, Washington State University) |
| Abstract: | The hypothesis of induced innovation has been empirically tested in many ways, using a wide variety of data and test periods for many industries in many countries. However, each test has maintained the hypothesis that the relative marginal cost of developing and implementing technologies that save one input is the same as for any other input. Lacking data on development and implementation costs of input-saving technologies, we develop and use a nonparametric procedure to estimate relative differences required for technical change in U.S. agriculture to be consistent with the induced innovation hypothesis. |
| Keywords: | induced innovation, marginal cost, nonparametric |
| JEL: | O30 D24 |
| Date: | 2008–06 |
| URL: | http://d.repec.org/n?u=RePEc:wsu:wpaper:shumway-4&r=knm |
| By: | Bronwyn H. Hall; Francesca Lotti; Jacques Mairesse |
| Abstract: | Innovation in SMEs exhibits some peculiar features that most traditional indicators of innovation activity do not capture. Therefore, in this paper, we develop a structural model of innovation which incorporates information on innovation success from firm surveys along with the usual R&D expenditures and productivity measures. We then apply the model to data on Italian SMEs from the "Survey on Manufacturing Firms" conducted by Mediocredito-Capitalia covering the period 1995-2003. The model is estimated in steps, following the logic of firms' decisions and outcomes: in the first, R&D intensity is linked to a set of firm and market characteristics. We find that international competition fosters R&D intensity, especially for high-tech firms. Firm size, R&D intensity, along with investment in equipment enhances the likelihood of having both process and product innovation. Both these kinds of innovation have a positive impact on firm's productivity, especially process innovation. Among SMEs, larger and older firms seem to be less productive. |
| JEL: | D24 L25 L26 O30 O32 |
| Date: | 2008–12 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:14594&r=knm |
| By: | Lam, Alice |
| Abstract: | This paper examines the ‘cognitive’ and ‘societal’ aspects of the tacit knowledge transfer problem in MNCs. Based on a comparative analysis of the overseas R&D labs of US and Japanese MNCs in the UK, it examines how home-based models of learning influence MNCs’ transnational social spaces for learning and their capabilities to address the tacit knowing problem. It illustrates how the US professional ‘networks of practice’ (NoP) and the Japanese organizational ‘communities of practice’ (CoP) approaches to transnational learning unfold in practice. It also examines how divergence between home and host country institutions governing knowledge production inhibits cross-societal tacit knowing. |
| Keywords: | comparative thinking; tacit knowledge; knowledge transfer in MNCs; innovation and R&D; organizational learning; communities of practice. |
| JEL: | F23 O32 |
| Date: | 2008–08 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:11487&r=knm |
| By: | Aschhoff, Birgit; Sofka, Wolfgang |
| Abstract: | Valuable knowledge emerges increasingly outside of firm boundaries, in particular in public research institutions and universities. The question is how firms organize their interactions with universities effectively to acquire knowledge and apply it successfully. Literature has so far largely ignored that firms may combine different types of interactions with universities for optimizing these knowledge sourcing strategies. We argue conceptually that firms need diverse (broad) and highly developed (deep) combinations of various interactions with universities to maximize returns from these linkages. Our empirical investigation rests upon a survey of more than 800 firms in Germany. We find that both the diversity and intensity of interactions with universities propel innovation success. However, broadening the spectrum of interactions is more beneficial with regard to innovation success. In an exploratory step we go beyond breadth and depth of interactions by identifying four distinct patterns of interaction. Our findings show that formal forms of interaction (joint/contract) research provide the best balance between joint knowledge development and value capture. |
| Keywords: | Technology transfer, industry-science links, open innovation, university knowledge |
| JEL: | C30 D83 O32 |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:7441&r=knm |
| By: | Rammer, Christian; Schmiele, Anja |
| Abstract: | This paper investigates the drivers and effects of the internationalisation of innovation activities in SMEs based on a large data set of German firms covering the period 2002-2007. We look at different stages of the innovation process (R&D, design, production and sales of new products, and implementation of new processes) and explore the role of internal resources, home market competition and innovationrelated location advantages for an SME’s decision to engage in innovation activities abroad. By linking international innovation activities to firm growth in the home market we try to identify likely internationalisation effects at the firm level. The results show that export experience and experience in knowledge protection are highly important for international innovation activities of SMEs. Fierce home market competition turns out to be rather an obstacle than a driver. High innovation costs stimulate internationalisation of non-R&D innovation activities, and shortage of qualified labour expels production of new products. R&D activities abroad and exports of new products spur firm growth in the home market while there are no negative effects on home market growth from shifting production of new products abroad. |
| Keywords: | Internationalisation of Innovation, Globalisation, SMEs, Effects of Innovation, Absorptive Capacities, Market Structure |
| JEL: | F23 L22 L25 O31 O32 O47 |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:7442&r=knm |
| By: | Kahanec, Martin (IZA); Zimmermann, Klaus F. (IZA, DIW Berlin and Bonn University) |
| Abstract: | International migration of people is a momentous and complex phenomenon. Research on its causes and consequences, requires sufficient data. While some datasets are available, the nature of migration complicates their scientific use. Virtually no existing dataset captures international migration trajectories. To alleviate these difficulties, we suggest: (i) the international coordination of data collection methodologies and standardization of immigrant identifiers; (ii) a longitudinal approach to data collection; (iii) the inclusion of adequate information about relevant characteristics of migrants, including retrospective information, in surveys; (iv) minimal anonymization; (v) immigrant boosters in existing surveys; (vi) the use of modern technologies and facilitation of data service centers; and (vii) making data access a priority of data collection. |
| Keywords: | migration, immigrants, data collection, data access, data infrastructure |
| JEL: | J15 J18 J61 J68 |
| Date: | 2008–12 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp3890&r=knm |
| By: | Sofka, Wolfgang; Grimpe, Christoph |
| Abstract: | Firms compete increasingly in an open innovation environment. Search strategies for external knowledge become therefore crucial for firm success. Existing research differentiates between the breadth (diversity) and depth (intensity) with which firms pursue external knowledge source. A consensus exists that resource constrains force firms to balance both dimensions. However, relatively little is known on how managers can selectively strengthen one of these dimensions. We argue conceptually that the breadth and depth of a search strategy depends upon the nature of a firm’s absorptive capacity (i.e. whether they are built through internal or external R&D activities) and the munificence of its innovation environment. We test these hypotheses empirically for a large sample of more than 8,300 firms from 12 European countries. Our empirical results show that in-house R&D strengthens the depth of a firm’s search strategy while external R&D activities (e.g. contract research) increase its breadth. Moreover, we find that scarce innovation environments favor deep search strategies while breadth is more prevalent in munificent environments. We develop targeted management recommendations based on these results. |
| Keywords: | Open innovation, absorptive capacity, search strategies |
| JEL: | L60 O32 |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:7418&r=knm |
| By: | Athanasios Orphanides (Central Bank of Cyprus); John C. Williams (Federal Reserve Bank of San Francisco) |
| Abstract: | This paper examines the robustness characteristics of optimal control policies derived under the assumption of rational expectations to alternative models of expectations formation and uncertainty about the natural rates of interest and unemployment. We assume that agents have imperfect knowledge about the precise structure of the economy and form expectations using a forecasting model that they continuously update based on incoming data. We also allow for central bank uncertainty regarding the natural rates of interest and unemployment. We find that the optimal control policy derived under the assumption of perfect knowledge about the structure of the economy can perform poorly when knowledge is imperfect. These problems are exacerbated by natural rate uncertainty, even when the central bank's estimates of natural rates are efficient. We show that the optimal control approach can be made more robust to the presence of imperfect knowledge by deemphasizing the stabilization of real economic activity and interest rates relative to inflation in the central bank loss function. That is, robustness to the presence of imperfect knowledge about the economy provides an incentive to employ a "conservative" central banker. We then examine two types of simple monetary policy rules from the literature that have been found to be robust to model misspecification in other contexts. We find that these policies are robust to the alternative models of learning that we study and natural rate uncertainty and outperform the optimal control policy and generally perform as well as the robust optimal control policy that places less weight on stabilizing economic activity and interest rates. |
| Keywords: | Rational Expectations, Robust Control, Model Uncertainty, Natural Rate of Unemployment, Natural Rate of Interest. |
| JEL: | E52 |
| Date: | 2008–07 |
| URL: | http://d.repec.org/n?u=RePEc:cyb:wpaper:2008-5&r=knm |