nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2011‒10‒15
nine papers chosen by
Laura Stefanescu
European Research Centre of Managerial Studies in Business Administration

  1. Innovation: Exploring the knowledge base By Jan Fagerberg; Morten Fosaas; Koson Sapprasert
  2. What type of innovative firms acquire knowledge intensive services and from which suppliers? By José García-Quevedo; Francisco Mas-Verdú; Daniel Montolio
  3. ENTREPRENEURSHIP: EXPLORING THE KNOWLEDGE BASE By Hans Landström; Gouya Harirchi; Fredrik Åström
  4. Knowledge cluster formation as a science policy: lessons learned By Evers, Hans-Dieter
  5. What type of innovative firms acquire knowledge intensive services and from which suppliers? By García-Quevedo, José; Mas-Verdú, Francisco; Montolio, Daniel
  6. How composite indicators of innovation can influence technology policy decision? By Nuno Boavida
  7. R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals: An agent-based model By Triulzi, Giorgio; Scholz, Ramon; Pyka, Andreas
  8. Looking East, looking West: Penang as a knowledge hub By Gerke, Solvay; Evers, Hans-Dieter
  9. The governance of Singapore’s knowledge clusters: off shore marine business and waterhub By Menkhoff, Thomas; Evers, Hans-Dieter

  1. By: Jan Fagerberg (Centre for Technology, Innovation and Culture, University of Oslo); Morten Fosaas (Centre for Technology, Innovation and Culture, University of Oslo); Koson Sapprasert (Centre for Technology, Innovation and Culture, University of Oslo)
    Abstract: New types of knowledge, and new ways of organising the production of it, may emerge as knowledge producers respond to the challenges posed by a changing society. This paper focuses on the core knowledge of one such emerging field, namely, innovation studies. To explore the knowledge base of the field, a database of references in scholarly surveys of various aspects of innovation, published in “handbooks”, is assembled and a new methodology for analysing the knowledge base of a field with the help of such data is developed. The paper identifies the core contributions to the literature in this area, the most central scholars and important research environments, and analyses - with the help of citations in scholarly journals - how the core literature is used by researchers in different scientific disciplines and cross-disciplinary fields. Based on this information a cluster analysis is used to draw inferences about the structure of the knowledge base on innovation. Finally, the changing character of the field over time is analysed, and possible challenges for its continuing development are discussed. The paper updates and extends the analysis on an earlier working paper in this series (Fagerberg and Sapprasert 2010).
    Keywords: Innovation studies, science studies, specialisms, bibliometrics
    Date: 2011–10
    URL: http://d.repec.org/n?u=RePEc:tik:inowpp:20111003&r=knm
  2. By: José García-Quevedo (University of Barcelona & IEB); Francisco Mas-Verdú (Universitat Politècnica de Valencia & IEB); Daniel Montolio (University of Barcelona & IEB)
    Abstract: Knowledge intensive services (KIS) and, in particular, R&D services contribute significantly to innovation in firms. The objective of this paper is to find out which characteristics of firms explain the acquisition of R&D services and to analyse whether there are differences depending on the typology of the supplier (universities, technology centres and consulting firms). Three main conclusions emerge from the econometric estimations. Firstly, the results show that size and age matter in the decision to buy R&D services, but these characteristics of firms do not have any particular influence in the decision to choose a specific supplier. Secondly, our results are consistent with the relevance that the literature gives to human capital in absorbing external knowledge. The variables used to control for human skills have a positive effect on the decision to buy R&D services. On the contrary, the estimates of other variables that capture internal knowledge base suggest that there is a substitution process between internal R&D activities and acquiring R&D services. Thirdly, innovation policy has a significant influence on the decision to acquire R&D services.
    Keywords: Knowledge intensive services; R&D services; universities; technology centres; consulting firms; innovation policy
    JEL: L84 O32 L24
    Date: 2011
    URL: http://d.repec.org/n?u=RePEc:ieb:wpaper:2011/9/doc2011-22&r=knm
  3. By: Hans Landström (CIRCLE, Lund University, Sweden); Gouya Harirchi (Department of Innovation and Organizational Economics, Copenhagen Business School, Denmark); Fredrik Åström (Lund University Libraries, Lund University, Sweden)
    Abstract: Entrepreneurship research has a long tradition and since the 1980s the field has grown significantly. In this study we identify the ‘knowledge producers’ who have shaped the field over time and their core entrepreneurship research works. A unique database consisting of all references in twelve entrepreneurship ‘handbooks’ (or stateof- the-art books) has been developed. The chapters in these handbooks were written by experts within the field, and it can be assumed that the most frequently cited references represent ‘core knowledge’ with relevance to entrepreneurship research. From our analysis, it appears that entrepreneurship is a rather changeable field of research, closely linked to disciplines such as ‘management studies’ and ‘economics’. Over time, the field has become more formalized with its own core knowledge, research specialities and an increasing number of ‘insider works’. However, it is still based on some fairly old theoretical frameworks imported from mainstream disciplines, although during the last decade we have seen the emergence of a number of new field-specific concepts and theories. We argue that to successfully develop entrepreneurship research in the future, we need to relate new research opportunities to earlier knowledge within the field, which calls for a stronger ‘knowledge-based’ focus. We would also like to see greater integration between the fields of entrepreneurship and innovation studies in the future.
    Keywords: entrepreneurship, research field, handbooks, bibliometric analysis
    Date: 2011–10
    URL: http://d.repec.org/n?u=RePEc:tik:inowpp:20111005&r=knm
  4. By: Evers, Hans-Dieter
    Abstract: Regional science policy aims at the creation of productive knowledge clusters, which are central places within an epistemic landscape of knowledge production and dissemination, K-clusters are said to have the organisational capability to drive innovations and create new industries. The following paper will look at Malaysia, Indonesia and Vietnam and their path towards a Knowledge-based economy. All governments have used cluster formation as one of their development strategies. Some evidence on the current state of knowledge cluster formation is provided. If the formation of a knowledge cluster has been the government policy, what has been the result? Is there an epistemic landscape of knowledge clusters? Has the main knowledge cluster really materialised? Data collected from websites, directories, government publications and expert interviews have enabled us to construct the epistemic landscape of Peninsular Malaysia and the Mekong Delta of Vietnam. Several knowledge clusters of a high density of knowledge producing institutions and their knowledge workers have been identified and described. An analysis of the knowledge output, measured in terms of scientific publications, patents and trademarks show that knowledge clusters have, indeed, been productive as predicted by cluster theory, though the internal working of clusters require further explanation.
    Keywords: Science policy; knowledge and development; knowledge-based economy; knowledge clusters; knowledge corridors; Malaysia; Vietnam
    JEL: J38 R58 O1 G38 D83 D8 D78 E61 O3 A14
    Date: 2011–09–20
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:33978&r=knm
  5. By: García-Quevedo, José; Mas-Verdú, Francisco; Montolio, Daniel
    Abstract: Knowledge intensive services (KIS) and, in particular, R&D services contribute significantly to innovation in firms. The objective of this paper is to find out which characteristics of firms explain the acquisition of R&D services and to analyse whether there are differences depending on the typology of the supplier universities, technology centres and consulting firms). Three main conclusions emerge from the econometric estimations. Firstly, the results show that size and age matter in the decision to buy R&D services, but these characteristics of firms do not have any particular influence in the decision to choose a specific supplier. Secondly, our results are consistent with the relevance that the literature gives to human capital in absorbing external knowledge. The variables used to control for human skills have a positive effect on the decision to buy R&D services. On the contrary, the estimates of other variables that capture internal knowledge base suggest that there is a substitution process between internal R&D activities and acquiring R&D services. Thirdly, innovation policy has a significant influence on the decision to acquire R&D services.
    Keywords: Knowledge intensive services; R&D services; universities; technology centres; consulting firms; innovation policy
    Date: 2011–10–06
    URL: http://d.repec.org/n?u=RePEc:ing:wpaper:201108&r=knm
  6. By: Nuno Boavida (IET, Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia)
    Abstract: This working paper is based on the development of the Thesis Plan presented for the Units Project II and Project III at the 1st Winter School of PhD programme on Technology Assessment at FCT/UNL. It focuses the methodology analysis and includes empirical information elements, in order to understand how composite indicators of innovation can influence technology policy decisions. In order to test the hypotheses raised in the Thesis Plan, two separate phases were designed. On the first part, the work tests hypotheses 1 and partially 2, identifying the quality, depth and limitations of three famous complex indicator-based systems, namely the Science, Technology and Industry Scoreboard, the European Innovation Scoreboard 2008 and Innovation Union Scoreboard 2010. On the second phase, the remaining hypotheses are tested adding media databases analysis, which will provide complementary information to a set of interviews to policy makers, in order to understand the role of the composite indicators on technology decisions.
    Keywords: composite indicators, innovation, technology policy decisions, European Innovation Scoreboard, Innovation Union Scoreboard
    JEL: C82 E61 O31
    Date: 2011–02
    URL: http://d.repec.org/n?u=RePEc:ieu:wpaper:34&r=knm
  7. By: Triulzi, Giorgio; Scholz, Ramon; Pyka, Andreas
    Abstract: In the last two decades, University-Industry Relationships have played an outstanding role in shaping innovation activities in Biotechnology and Pharmaceuticals. Despite the growing importance and the considerable scope of these relationships, there still is an intensive and open debate on their short and long term effects on the research system in life sciences. So far, the extensive literature on this topic has not been able to provide a widely accepted answer. This work introduces a new way to analyse University-Industry Relationships (UIRs) which makes use of an agent-based simulation model. With the help of simulation experiments and the comparison of different scenario results, new insights on the effects of these relationships on the innovativeness of the research system can be gained. In particular, focusing on knowledge interactions among heterogeneous actors, we show that: (i) universities tend to shift from a basic to an applied research orientation as a consequence of relationships with industry, (ii) universities' innovative capabilities benefit from industry financial resources but not so much from cognitive resources of the companies, (iii) biotech companies' innovative capabilities largely benefit from the knowledge interaction with universities and (iv) adequate policies in terms of public basic research funding can contrast the negative effects of UIRs on university research orientation. --
    Keywords: University-Industry Relationships,Knowledge Dynamics,University Patenting,Technology Transfer,Agent-Based Modelling
    Date: 2011
    URL: http://d.repec.org/n?u=RePEc:zbw:fziddp:332011&r=knm
  8. By: Gerke, Solvay; Evers, Hans-Dieter
    Abstract: Penang has always been a focal point, absorbing knowledge (and popular culture) from civilizations to the East and West. In modern Penang the pattern of cultural contacts has changed over time. Research institutes and universities in Penang cooperate with foreign partners to produce research papers and reports. Based on an analysis of joint research output, the changing international position of Penang as an emerging research hub will be analysed. The paper will show that international cooperation has increased considerably between 1970 and 2010, but that there has also been a remarkable shift from European, Australian and American partners to East Asian and to South Asian partners. The latter will be analysed in greater detail to show the development of Penang as an increasingly important Asian knowledge hub. One of the highlighted results of our paper will be the increasing importance of research ties across the Indian Ocean.
    Keywords: Knowledge; knowledge for development; science policy; economic development; knowledge clusters; research output; Malaysia; India; China; ASEAN
    JEL: O1 D8 A14
    Date: 2011–09–20
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:33980&r=knm
  9. By: Menkhoff, Thomas; Evers, Hans-Dieter
    Abstract: Based on two case studies of knowledge clusters (off shore marine/rig business and water hub) in Singapore, the paper illustrates the importance of good knowledge governance in creating robust and value-creating knowledge clusters. We begin by defining key terms used such as knowledge clusters, hubs and governance, followed by a short historical account of good knowledge governance for Singapore’s development. The two cases studies of knowledge clusters presented here include (i) the offshore oil rig business (Keppel) which we posit as an example of innovative value creation based on sophisticated fabrication methods and R&D as well as (ii) the island republic’s dynamic and rapidly emerging, global hydrohub called ‘WaterHub’. We examine the structural characteristics of both clusters, assess their progress based on the cluster lifecycle literature, highlight key governance enablers required to create and sustain such competitive hubs and draw conclusions for K4D latecomers.
    Keywords: Knowledge governance; knowledge clusters; science policy; maritime industry; Singapore
    JEL: D8 G3 A14
    Date: 2011–09–16
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:33979&r=knm

This nep-knm issue is ©2011 by Laura Stefanescu. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
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