Modified collaborative coefficient: a new measure for quantifying the degree of research collaboration.

Scientometrics (Impact Factor: 2.27). 01/2010; 84:365-371. DOI: 10.1007/s11192-009-0100-4
Source: DBLP

ABSTRACT Collaborative coefficient (CC) is a measure of collaboration in research, that reflects both the mean number of authors per
paper as well as the proportion of multi-authored papers. Although it lies between the values 0 and 1, and is 0 for a collection
of purely single-authored papers, it is not 1 for the case where all papers are maximally authored, i.e., every publication
in the collection has all authors in the collection as co-authors. We propose a simple modification of CC, which we call modified
collaboration coefficient (or MCC, for short), which improves its performance in this respect.

1 Bookmark
  • [Show abstract] [Hide abstract]
    ABSTRACT: Information technology (IT) outsourcing has become a widely accepted management strategy. As a consequence, a great deal of research on the IT outsourcing domain, covering a wide range of issues, has been conducted. This study investigates the IT outsourcing knowledge infrastructure from a network point of view. Triple helix indicators and social network analysis techniques are employed on 288 scholarly papers obtained from the Web of Science database using keywords related to IT outsourcing. The results reveal the key players in IT outsourcing research collaborations; their network characteristics, such as degree centrality; and the relationship of academia, industry, and government in terms of IT outsourcing knowledge production. This article also provides results-based implications.
    Journal of the American Society for Information Science and Technology 11/2013; 64(11). · 2.01 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper evaluates the origins of the research that has been published in the International Journal of Production Research (IJPR) for the time period 1985–2010, which includes approximately 77% of all articles that have been published in IJPR since its inception. We assess the productivity of individual authors, the author’s affiliation at the time each article was published, the country the author’s affiliation is located, and the institution where the author was granted a Ph.D. degree. By analysing the countries in which author affiliations are located, we can determine which countries are having the greatest impact on defining the research published in IJPR. For international journals, it is important to publish research from an international constituency, thus maintaining one of its purposes. By analysing the affiliations of the authors as well as where the authors received their Ph.D. training, we can determine which institutions are having the greatest contributions to the research published in IJPR. We believe it is useful to consider both the affiliations of the authors and where the authors received their academic training since both are indicative of an institution’s true influence on a journal. To date, no published study has examined the individuals, institutions, and countries that have contributed to IJPR and, in particular, where the contributing researchers received their Ph.D. degrees.
    International Journal of Production Research 11/2013; 51. · 1.32 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Collaboration is believed to be influential on researchers’ productivity. However, the impact of collaboration relies on factors such as disciplines, collaboration patterns, and collaborators’ characters. In addition, at different career stages, such as the growth or the establishment career stages of scientists, collaboration is different in scale and scope, and its effect on productivity varies. In this paper, we study the relationships between collaboration and productivity in four disciplines, Organic Chemistry, Virology, Mathematics and Computer Science. Our study found that the productivity is correlated with collaboration in general, but the correlation could be positive or negative on the basis of which aspect of collaboration to measure, i.e., the scale or scope of the collaboration. The correlation becomes stronger as individual scientists progress through various stages of their career. Furthermore, experimental disciplines, such as Organic Chemistry and Virology, have shown stronger correlation coefficients than theoretical ones such as Mathematics and Computer Science.
    Scientometrics 05/2014; 101(2):1553-1564. · 2.27 Impact Factor