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The purpose of this study is to analyse the relationship between a firm’s resources, innovation-oriented culture, dynamic capabilities, and cooperation performance – in partnerships between firms a...

With regard to the survey data of Korean researchers using genetic resources from three genebanks administered by the Korea Research Institute of Bioscience and Biotechnology, we conducted conjoint and cluster analyses to estimate the relative importance of genetic resource (microbial, plant and animal) attributes among the researchers. Our results indicate that Korean researchers view price (cost of acquiring an accession), high new functionality (functional properties of germplasms for specific applications and uses) and completely uncovered genomic information (about mutation, genetic transformation, genomic function and pathways) as far more important in decision-making about R&D use of microbial, plant and animal genetic resources, respectively, than other attributes. Furthermore, this study shows that researchers conducting R&D in the microbial and plant genetic resource sectors especially prefer resources from specific domestic environments and Korean indigenous species, respectively. The study also sheds light on different patterns of researcher segments in terms of utilities of attributes and subgroups of researchers who have common needs in the three genetic resource sectors. We proposed some policy and strategic implications based on the results of this study.

The industrial use of genetically modified organisms (GMOs) has been highly controversial for many reasons. The controversies lead to a gap between societal needs and expectations of the potential benefits and risks related to the industrial use of GMOs. This gap has been imposing society-specific political-economic pressures on firms. These pressures derive from the external stakeholders' needs and expectations that GMOs will assume an important role in creating business opportunities for and damaging the social reputations of firms. This paper, by drawing upon the literature on managerial interpretations of issues, investigates the way sociopolitical-economic forces and managerial interpretations influence firms' intentions for the industrial use of GMOs in the Korean context. It uses a structural equation modeling (SEM) approach. Results based on survey data from 145 manufacturing companies indicate that social acceptance, and managerial interpretation influenced mainly by market attractiveness, will both make a significant contribution to the prediction of firms' industrial use intentions of GMOs. Market attractiveness was not a significant factor affecting the use intentions of GMOs directly. Some insights into what governments should do to promote sustainable use of GMOs in their countries are proffered.

Based on the survey data, this study focused venture firms examines how organizational resources and capabilities along with its external environmental conditions have an effect on its strategy and performance. In particular, this article attempts, by performing a binary logistic regression analysis, to identify the venture-specific importance and priority of the factors that may influence firms` strategy patterns, with multiple regression analysis on the relationships between some variables included in the model. The survey was conducted from October 1, 2010 through October 30, 2010. The results of this study are the following. First, the more firms are exposed to high industry growth and low competitive intensity, the higher chance they get to pursuit aggressive strategy. And then a firm seeks aggressive strategy, when it has more technological resources and human resources. Third, environmental uncertainty, industry growth, technological resources, human resources, financial resources and marketing capabilities have positive effects on firm`s performance. But, competitive intensity has no direct influence firm`s performance. Finally, CEO competence directly influences firm`s performance, but the interaction. of CEO competence with other variables is not significant.