Configurations of resources and capabilities and their performance implications : an exploratory study on technology ventures
By: GRUBER, Marc
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Contributor(s): HEINEMANN, Florian | BRETTEL, Malte | HUNGELING, Stephan.
Material type: 
ArticlePublisher: U.S.A : Wiley-Blackwell, dec. 2010Subject(s): Desempenho Organizacional | Recurso Financeiro | Teconologia da Informação | Teoria AdministrativaStrategic Management Journal 31, 12, p. 1337-1356Abstract: As one of the most widely accepted theoretical perspectives in strategy, the resource-based view (RBV) suggests that a firm's resources underlie its ability to achieve competitive advantage. However, much of the extant work in this stream has examined the characteristics that resources must have in order to yield rents, while efforts to specify the crucial link between resources and value creation have been sparse. As a consequence, current theory is not sufficiently clear on how different kinds of resources and capabilities contribute to performance, nor does it clarify how firms can combine different resources and capabilities to achieve superior performance outcomes. Analyzing data obtained from 230 technology ventures with partial least squares (PLS) structural equation modeling and cluster analysis, this study seeks to improve understanding of the resource-performance link in two main ways. Based on a careful measurement of resources and capabilities in a well-defined functional area (sales and distribution), we first show how these resources and capabilities contribute to performance in that functional area. Second, we identify four clusters of firms that deploy different configurations of resources and capabilities. Among the four configurational solutions, two are associated with superior (equifinal) performance outcomes.
As one of the most widely accepted theoretical perspectives in strategy, the resource-based view (RBV) suggests that a firm's resources underlie its ability to achieve competitive advantage. However, much of the extant work in this stream has examined the characteristics that resources must have in order to yield rents, while efforts to specify the crucial link between resources and value creation have been sparse. As a consequence, current theory is not sufficiently clear on how different kinds of resources and capabilities contribute to performance, nor does it clarify how firms can combine different resources and capabilities to achieve superior performance outcomes. Analyzing data obtained from 230 technology ventures with partial least squares (PLS) structural equation modeling and cluster analysis, this study seeks to improve understanding of the resource-performance link in two main ways. Based on a careful measurement of resources and capabilities in a well-defined functional area (sales and distribution), we first show how these resources and capabilities contribute to performance in that functional area. Second, we identify four clusters of firms that deploy different configurations of resources and capabilities. Among the four configurational solutions, two are associated with superior (equifinal) performance outcomes.
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