nep-ppm New Economics Papers
on Project, Program and Portfolio Management
Issue of 2008‒04‒15
six papers chosen by
Arvi Kuura
Parnu College - Tartu University

  1. Building dynamic capabilities in product development: the role of knowledge management By ELENA REVILLA
  2. In what circumstances is investment in HSR worthwhile? By De Rus, G.; Nash, C.A.
  3. Public-Private Partnerships in Spain: Lessons and Opportunities By GAYLE ALLARD
  4. Sensitivity Testing of Net Impact Estimates of Workforce Development Programs Using Administrative Data By Kevin Hollenbeck
  5. How can we Study Innovation Systems? - introducing an actor-centralised perspective By Broström, Anders
  6. Collaborative Research in India: Academic Institution v/s Industry By Neeraj Parnami, Neeraj Parnami; Bandyopadhyay, T.K.

  1. By: ELENA REVILLA (Instituto de Empresa)
    Abstract: This paper contributes to the clarification of the connections between knowledge management and dynamic capabilities in the context of product development to see how they explain product development competences. Building on the knowledge management and dynamic capabilities literatures, the paper argues that the social side of knowledge management has a role to play as enabler of dynamic capabilities in the context of product development. Further, dynamic capabilities shape product development competences. Empirical evidence is provided by performing survey research with data collected from 80 product development projects developed in Spain.
    Keywords: Capabilities , Knowledge management, Organizational knowledge
    Date: 2008–03
  2. By: De Rus, G.; Nash, C.A.
    Abstract: The case for building new High Speed Rail (HSR) infrastructure depends its the capacity to generate social benefits which compensate for the construction, maintenance and operation costs. Decisions to invest in this technology have not always been based on sound economic analysis. A mix of arguments, besides time savings –strategic considerations, environmental effects, regional development and so forth– have often been used with inadequate evidence to support them. We have explored under what conditions net welfare gains can be expected from new HSR projects. In this paper we use some simplifying assumptions with the aim of obtaining a benchmark: the minimum level of demand from which a positive social net present value could be expected when new capacity does not provide additional benefits beyond time savings from diverted and generated demand.
    Keywords: public investmest; infrastructure; cost-benefit analysis; transport; high speed rail.
    JEL: R40 D61
    Date: 2007–12
  3. By: GAYLE ALLARD (Instituto de Empresa)
    Abstract: Spain presents an interesting paradox in the history of PPP (Public-Private Partnerships). Successive governments have seized on PPPs as a solution to budget constraints at a time of dwindling EU aid and stricter fiscal targets, making it one of Europe´s most enthusiastic users of PPP since 2003. Undoubtedly, this trend will bring benefits in terms of more abundant, lower-cost and higher-quality services. However, there are risks implicit in the way PPP is unfolding in Spain that could limit and even undo these benefits unless steps are taken to coordinate, monitor and follow up public-private projects and to communicate their virtues to the public.
    Date: 2007–07
  4. By: Kevin Hollenbeck (W.E. Upjohn Institute for Employment Research)
    Abstract: This paper addresses the question of whether administrative data sources, such as performance monitoring data, can be used for program evaluation purposes. It argues that under certain circumstances, such data can be used. In particular, program performance data that are routinely gathered and monitored by administrators of many workforce development programs meet these circumstances. The paper goes on to demonstrate the point by using administrative data from the state of Washington to examine the net impact on earnings and employment of services provided to adults under the Workforce Investment Act (WIA).Because of a lack of consensus about appropriate net impact estimators, the strategy of this paper is to examine the sensitivity of the results to various estimation techniques. The paper describes the various estimation techniques, and it summarizes the net impact estimates that are generated for the State of Washington. For the most part, the results are fairly stable across the techniques, which the paper argues adds a degree of confidence in them. The final section of the paper offers guidance to policymakers and program administrators who may not be familiar with the technical details of various analytical approaches about how empirical results that may appear to be complex or unstable can be used for program improvement.
    Keywords: incumbant, worker, on-the-job training, ojt, hollenbeck
    JEL: J24 J48 C81
    Date: 2008–02
  5. By: Broström, Anders (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)
    Abstract: The systems of innovation approach has helped advocating a view on innovation as dependent on the interaction over time between different actors and brought the role of institutions to the center of interest. However, the approach has remained a general framework rather than evolved into an analytical tool for the study of the dynamics of innovation activities. In this discussion paper, we introduce the concept of innovation system services, defined as the set of factors that have a significant potential influence on the opportunities of a certain groups of actors to perform a certain type of activities efficiently. We suggest that the relevant innovation system for the actors-activities nexus at hand can be defined as this set of system services. We examine this analytical framework in a case study on R&D investments of multinational enterprises in Sweden. In this context, innovation system services are defined as the set of external factors that the case study suggests to have significant impact on the decisions of MNEs to invest in R&D in Sweden. The focus on services allows us to analyse the influence of an innovation system on the long-term development of R&D in Sweden in a structured and coherent manner and to identify critical dynamics.
    Keywords: innovation systems; R&D collaboration; multinational enterprises; innovation in services
    JEL: D29 O31 O32
    Date: 2008–04–02
  6. By: Neeraj Parnami, Neeraj Parnami; Bandyopadhyay, T.K.
    Abstract: The term ‘collaboration’ is used to depict the all forms of agreement between academic institutions, corporate, universities, and any combination of such two or more parties who share the commitment to reach a common goal by using their resources available. Collaboration in Research and development (R&D) sector has been broadly used phenomenon for many years in India. In the collaborative research, the significant factors like time & cost being reduced to large extent because of sharing of the resources by the parties. Collaborative research contributes to the technological and economical development of the country. Collaboration avoids duplication in research. But there are lots of questions, may be arising in your mind like: what is actual meaning of collaborative research? Why do industries collaborate with the academic institutions? What goes on in the collaborative research? What are the effects of collaborative research? Which type of policy do they have? and simultaneously there are lots of issues - involved in collaborative research like intellectual property rights, technology licensing, confidential agreement etc. how can all these issues be resolved before or during collaboration, so that a healthy relationship may be established for the future benefits of all the parties involved? The purpose of writing this paper is to shed the light on the solutions available of all these questions and the issues arise between the parties involved in the collaborative research program.
    Keywords: Collaborative research; Intellectual property; Academic institution; Issues; University; Licensing; Industry; Driving force.
    JEL: A12 D89 I28 K11 A11
    Date: 2008–02–10

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