Analysis of the Association between Bioinformatics and Biotechnological Development

By Tameem, Abdullah Abdulaziz Al- | Journal of Digital Information Management, February 2008 | Go to article overview

Analysis of the Association between Bioinformatics and Biotechnological Development


Tameem, Abdullah Abdulaziz Al-, Journal of Digital Information Management


ABSTRACT: Generally, 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.

Categories and Subject Descriptors

K.6 [Management of Computing and Information Systems]: J.3 [Life and Medical Sciences]: Medical Information Systems

General Terms

BioInformatics and biotechnology Growth, Information Computing

Keywords: Computational techniques, Bioinformatics growth

Introduction

Research on technological applications including computational applications in biology has profound impact on the knowledge frontiers. In terms of knowledge, both ontological and epistemological dimensions have changed from the distinction between science and technology to the convergence of science and technology. From the knowledge ontological perspective, biotechnology management and organizational research have focused on three aspects of knowledge. One focuses on the codified explicit knowledge, the second emphasises the formation of tacit knowledge and the third combines the two. These perspectives directly or indirectly represent the ontogenetic aspect of the organization (Knudsen, 1995). This refers to the transformation of single organizations through learning for growth (Penrose, 1960). In contrast, the phylogenetic phenomenon refers to the firm's internal and external knowledge.

Theoretically, it seems reasonable to assume that organizations, as systems, have a repertoire of internal and external knowledge that may be capitalized on through access and decision structures (March & Olsen, 1989; Marchand, 2000). Empirically, there is little understanding of how such interactions between the internal and external repertoires of know ledge of different kinds evolve. In particular, the relationship between bioinformatics as resource tools and biotechnological knowledge as outcome has been intuitively understood and empirically explored. However, the reverse between theoretical and platform biotechnologies may drive bioinformatics. Given the rationale that bioinformatics is both the antecedent to biotechnology and a consequence of it, it is essential that we understand how the activities related to biotechnology may drive activities in bioinformatics.

In the context of this question, the purpose of this paper is to explore the biotechnological developments driving bioinformatics knowledge by means of comparison between biotechnology industries in the most active and emerging countries. The resultant findings will explain the technological trajectories and potential capabilities of the national organizations in biotechnology. It is known that biotechnological systems are being emulated across many countries (Datamonitor, 2004), but it is not known whether there is any relationship between biotechnology and subsequent attempts to enhance bioinformatics.

Conceptual Context

Since biotechnology is a different phenomenon from conventional technologies, its antecedents and consequences differ. In an innovative system framework, the concepts and assumptions need to be framed in the context of biotechnology as the antecedent and bioinformatics as the consequential dimension. …

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