Author List: Dutta, Amitava; Roy, Rahul;
Journal of Management Information Systems, 2005, Volume 22, Issue 2, Page 15-35.
Many argue that offshoring is an inexorable trend, since a variety of information technology (IT) skills have become global commodities and they are vastly cheaper in other parts of the world. According to this view, most IT work would be drained from the United States to overseas locations. However, the loss of jobs to offshoring has increased pressure to impose restrictions. On the supply side, as IT salaries in outsourcing vendor nations increase, they become less attractive for offshoring. The literature identifies multiple factors--some enhancing, others inhibiting--that affect the growth of offshoring. In this paper, we attempt to add to that knowledge by asking, "What are the mechanics by which these factors interact to produce the observed growth in IT offshoring?" We use the system dynamics methodology to build a two-country simulation model of offshoring growth that captures individual cause-effect relationships generated by its supply and demand drivers. Examined as a whole, these individual relationships reveal larger feedback loops that constitute the mechanism underlying offshoring growth between the two countries. Simulation experiments show how the dynamic behavior of offshoring is likely to evolve beyond the current high-growth period. The model contributes to our understanding of offshoring by offering a causal foundation for its growth pattern. It can also be used to computationally study different scenarios of offshoring growth.
Keywords: business policy; growth modeling; offshoring; outsourcing; simulation; system dynamics modeling
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#149 0.217 offshore offshoring client projects locations organizational vendor extra cultural problems services home sites two-stage arrangements distributed multiple location experience outsourcing
#128 0.136 dynamic time dynamics model change study data process different changes using longitudinal understanding decisions develop temporal reveal associated state identifies
#223 0.120 insurance companies growth portfolios intensity company life portfolio industry newly vulnerable terms composition operating implemented factors asset focus disaggregation choices
#97 0.099 set approach algorithm optimal used develop results use simulation experiments algorithms demonstrate proposed optimization present analytical distribution selection number existing
#17 0.077 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#164 0.066 countries global developing technology international country developed national economic policy domestic study foreign globalization world government nations innovative technological especially
#72 0.053 skills professionals skill job analysts managers study results need survey differences jobs different significantly relative required motivation programmers technical factors
#243 0.053 states united employment compensation labor workers paper work extent findings increasing implications concerns relationship managerial wage options offer salary entry