nep-ppm New Economics Papers
on Project, Program and Portfolio Management
Issue of 2010‒08‒28
three papers chosen by
Arvi Kuura
Parnu College - Tartu University

  1. Virtual Team Collaboration: A Review of Literature and Perspectives By Myriam Karoui; Ali Gürkan; Aurélie Dudezert
  2. Propensity Score Matching Method in Quasi-Experimental Designs: An Approach to Program Evaluation of INHP-III By Kaushal Deep Gakhar; Navneet Kaur; Vidhu Kapur
  3. What drives patent performance of German biotech firms? The impact of R&D subsidies, knowledge networks and their location By Dirk Fornahl; Tom Broekel; Ron Boschma

  1. By: Myriam Karoui (LGI - Laboratoire Génie Industriel - Ecole Centrale Paris); Ali Gürkan (LGI - Laboratoire Génie Industriel - Ecole Centrale Paris); Aurélie Dudezert (LGI - Laboratoire Génie Industriel - Ecole Centrale Paris)
    Abstract: Along with the widespread use of information technologies (IT) and the increasing geographical span of tasks held by various organizations, Virtual Teams (VTs) rose as an alternative organizational form which has the potential to deeply change the workplace. This article provides a review of previously published work on collaboration in VTs. The review is organized around two perspectives adopted by scholars, namely technological and managerial. This analysis underlines two major constructs that leads to an efficient VT collaboration, i.e. the context in which the collaboration is held and the collaboration style. While the former is illustrated by knowledge and team characteristics, the latter is identified by technological media and leadership. Building on this classification, we suggest a model and explore future research directions with a particular attention to the implications for collaboration in organizations.
    Keywords: Collaboration, Virtual Team, Knowledge Sharing, Literature Review
    Date: 2010
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-00509753_v1&r=ppm
  2. By: Kaushal Deep Gakhar; Navneet Kaur; Vidhu Kapur
    Abstract: The experimental designs are generally considered as the robust evaluation methodologies as there is random assignment. These are possible in clinical trials or in pilot phase of the project but during the development phase due to ethical issues and resource constraints; use of true experimental designs are not feasible in majority of development interventions as use of experimental design entails creation of treatment and comparison group thereby providing benefits to some and excluding others. It is unethical at program-level to provide the benefits to few and leave others and thus, there is difficulty in construction of both treatment and comparison at baseline. This makes attribution of observed outcomes and impacts to program intervention very difficult. The task gets more difficult when there are no baseline studies available. PSM offers one such alternative for addressing the concerns comparison and attribution. This paper is based on the case of Endline Evaluation of INHP- III where the Quasi-Experimental Design was employed using the PSM technique to construct the ideal comparison match for the treatment groups. [Discussion Paper 3]
    Keywords: PSM, Counterfactual, Treatment, Comparison, Quasi-experimental, Matching Groups
    Date: 2010
    URL: http://d.repec.org/n?u=RePEc:ess:wpaper:id:2782&r=ppm
  3. By: Dirk Fornahl; Tom Broekel; Ron Boschma
    Abstract: This paper aims to explain whether firm-specific features, their engagement in collaboration networks and their location influence patent activity of biotech firms in Germany in the period 1997-2004. First, we demonstrate that non-collaborative R&D subsidies do not increase patent intensity of biotech firms. Second, the number of knowledge links biotech firms is also not influencing their patent performance. However, strong and robust evidence is found that some but not too much cognitive distance between actors involved in R&D collaborations increases patent performance of firms. Third, being located in a biotech cluster does positively impact on patent performance.
    Keywords: relatedness, R&D subsidies, biotechnology, knowledge networks, proximity paradox
    JEL: O33 O38 R58
    Date: 2010–08
    URL: http://d.repec.org/n?u=RePEc:egu:wpaper:1009&r=ppm

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