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Open Innovation: Assessing the Socio-Economic Factors of Global Software Development
Abstract
Software engineering is largely concerned with the methodical, systematic production of quality software to support organizational goals. Despite significant advances in technology over the last decade, software engineering still heavily relies on human efforts and human interaction to generate economic contributions for an organization. In more recent years, the question of software service complexity has become central to Global Software Development (GSD) with a view of developing software across a global landscape. However, few efforts have surfaced to challenge the complexity of the relational infrastructure of software teams that support the development of software architecture. This is important in order to sustain and support lean software development and organisational structures particularly in an open service innovation environment. However, from a socio-economic perspective, there are few theoretical efforts that attempt to introduce new insights on how the human factors contribute towards a GSD value co-creation. The objective of this chapter is to examine the application of Social Network Analysis (SNA) and i* (i star) modelling techniques to examine how we could model the economic impact of software relational structures. The chapter explores how i* models leverage SNA concepts to model GSD development. This chapter also offers a discussion on the theoretical development of the socio-economics of GSD in an “open innovation” context.
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