Article ID Journal Published Year Pages File Type
459797 Journal of Systems and Software 2013 14 Pages PDF
Abstract

A variety of new forms of business are enabled through globalization and practiced by software organizations today. While companies go global to reduce their development costs, access a larger pool of resources and explore new markets, it is often assumed that the level of delivered services shall remain the same after implementing the sourcing decisions. In contrast, critical studies identified that global software development is associated with unique challenges, and a lot of global projects fail to mitigate the implications of a particular global setting. In this paper we explore offshore insourcing decisions on the basis of empirical research literature and an empirical field study conducted at Ericsson. By analyzing decisions in two different cases we found that each offshore insourcing decision consisted of deciding what, where, when, how and why to insource. Related empirical research and field observations suggest that not all combinations are successful and alignment between different decision points has thus a prominent role. To address these concerns we built an empirically based insourcing decision structure, which outlines a logical path through the decision options and helps selecting an offshore insourcing strategy that targets creation of the necessary alignment. The key element of the proposed approach is a structured and well-defined decision-making process, which is intended to support managers in their decision-making. The usefulness of the proposed approach is evaluated in an additional empirical case of a new offshore insourcing decision.

► We present empirically based structured decision support tools for offshore insourcing. ► We stress the importance of choosing why, what, where, when, and how to offshore. ► Successful strategies are based on aligned combinations of these decisions. ► Dynamic decision process is suggested to avoid lock in situations.

Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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