Paper Type

Research-in-Progress Paper

Description

The demand for software-enabled products and services continus unabated in almost all facets of life. With this increasing demand comes an intense pressure on the developers of software to be innovative in all aspects. While researchers have examined how a variety of individual, group, and organizational factors shape innovation in information systems development, the role of advice networks has received limited consideration to date. A greater understanding of advice network structures in software development is important as numerous studies from the social network tradition demonstrate that advice seeking behaviors play a key role in people´s ability to do their jobs effectively. Drawing from social network theory, we develop a number of hypotheses relating the structure of a software developer´s advice network for technological developments to personal innovativeness. To test these hypotheses, social network analysis and interview data will be gathered from a software development division of a large organization.

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UNDERSTANDING THE ROLE OF ADVICE NETWORKS IN SOFTWARE DEVELOPMENT

The demand for software-enabled products and services continus unabated in almost all facets of life. With this increasing demand comes an intense pressure on the developers of software to be innovative in all aspects. While researchers have examined how a variety of individual, group, and organizational factors shape innovation in information systems development, the role of advice networks has received limited consideration to date. A greater understanding of advice network structures in software development is important as numerous studies from the social network tradition demonstrate that advice seeking behaviors play a key role in people´s ability to do their jobs effectively. Drawing from social network theory, we develop a number of hypotheses relating the structure of a software developer´s advice network for technological developments to personal innovativeness. To test these hypotheses, social network analysis and interview data will be gathered from a software development division of a large organization.