of creating and maintaining effective partnerships for joint activity. This feature will be called “partnership ability”.
Definition and basic properties of the indicator
The partnership ability index will be denoted by φ
Authors:Jennifer H. Chen, Shihmin Lo, Show-Ling Jang, and Chi-Cho Huang
&D capabilities through technological alliances with other more advanced international partners (UNCTAD 2005 ), the strategic partnerships they engaged in are often of a different nature than those alliances studied among the developed Triad region.
R&D partnership in education. Schools are not only the institutions of the local community, nor are they exclusively government organizations (in Central and Eastern Europe, the state and its authorities own about 80%–90% of the educational
Being a scientifically active country in Africa, South Africa has made significant strides in the production of scientific
publications. Medicine is one branch of science that has achieved a remarkable position in this regard. Extracting and analyzing
medical publications for three decades and at regular intervals (1975–2005) from the SCI database, this paper pioneers an
attempt to find out whether the reported pace of growth in the production of scientific papers in medicine is an effect of
partnerships that scholars have with their counterparts within the organization, within the country, or with those in other
countries. This paper also presents the unique patterns of scientific research in medicine, taking into account factors such
as the count and fractional count of papers, citations, trends of growth, sectoral participation, partners, and publication
outlets, and seeks to provide new insights into the directions medical science is taking in South Africa today.
In this article we present an indicator - Probabilistic Partnership Index (PPI) - for use in measuring scientific linkages.
This indicator is based on the Monte-Carlo simulation which provides a standard model to each network established in collaboration
between two countries. Any relationship that occurs within a (whole) network can be projected to a standard model respectively
and thus PPI is useful in examining individual networks within complex exchanges. We investigate inter-sectoral cooperation
between France and Japan for the period of 1981-2004, by classifying every research unit appearing in the data set by its
sector. We examine international collaborative patterns, domestic collaborative patterns and multilateral relationships established
within the French-Japanese cooperation. We also compare PPI with the classic collaborative linkage indexes - Jaccard Index,
Salton-Ochiai Index and Probabilistic Affinity Index - in order to describe the specificity of the new indicator. Our hope
is that PPI will prove to be a useful and complementary tool for the analysis of international collaboration.
In a recent contribution to this journal András Schubert proposed the partnership ability index, denoted as φ (Schubert 2012 ). He pointed out that his idea fits into the framework introduced in (Zhao et al. 2011 ). Indeed, Zhao et al
Mohr, J - Spekman, R. (1994): Characteristics of Partnership Success: Partnership Attributes, Communication Behavior, and Conflict Resolution Techniques, Strategic Management Journal, Vol. 15, pp. 135-152