01367nas a2200193   4500008004100000245005900041210005800100260000900158300001200167490000600179520072800185653001800913653003900931653002200970653001900992653002501011100002001036856011701056       2009                        eng d00aNanotechnology development and sub-technologies effect0 aNanotechnology development and subtechnologies effect  c2009  a44 - 520 v73 aThe purpose of this paper is to examine the evolution of biotechnology systems to nanotechnology systems. This in turn explains how three sub-technologies under the umbrella of biotechnology (therapeutics, platform and bioinformatics) are determining its evolution and subsequent contribution to nanotechnology. A large sample was used to test three propositions for the three technologies. the findings indicate that only platform technology is positively significantly related. This implies that therapeutics and bioinformatics are less likely to co-evolve with nanotechnology. Accordingly, firms in platform technologies are likely to perform in the economies where there is greatest focus on nanotechnology development.10aBiotechnology10aHigh-tech institutional capitalism10aInnovation system10aNanotechnology10aTechnological system1 aAl-Tameem, A.A.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70350627566&partnerID=40&md5=831142db0c5083b6af6583cedbe4b28801441nas a2200157   4500008004100000245008800041210006900129260000900198300001400207490000600221520086400227653002601091653002901117100002001146856011701166       2008                        eng d00aAnalysis of the association between bioinformatics and biotechnological development0 aAnalysis of the association between bioinformatics and biotechno  c2008  a128 - 1350 v63 aGenerally, the literature tends to either subsume bioinformatics under the general sector of biotechnology or it uses it as an explanatory dimension because it provides knowledge sources for biotechnology activities. In this study, the researcher attempt to reverse this relationship, for under the assumption of co-evolution of technology and institutions, both shape each other rather than one alone shaping the other. In testing the relationships between the biotechnology firms and bioinformatics firms of the most active countries in these sectors, the logistic regression results produce three groups of countries: (a) those that significantly positively influence bioinformatics because of biotechnology activity, (b) those that significantly negatively influence bioinformatics because of biotechnology activity, and (c) those that remain indifferent.10aBioinformatics growth10aComputational techniques1 aAl-Tameem, A.A.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849106044&partnerID=40&md5=8de93884e0b90b4cb04af4dbef44126b