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PROJECT MANAGEMENT FOR OUTSOURCING DECISIONS  14-11

                                                East
               Decision matrix
                             China  India  Egypt  Europe  Chile  Brazil
              Invest - long term
              Invest - short term

              Support cont.
              Reliance cont.
              Alliance cont.

              Alignment cont.


                  Infeasible option                     Infeasible option
                                  Benefit: Med. ($$)
                                  Cost: High ($$$)
                                  Risk: Low
                                  Opportunity: High
                                  Threat: Insignificant

             FIGURE 14.3  Decision matrix.





        company. In case any of the combinations is economically infeasible, it is eliminated
        from further deliberation. The analyst first gathers data about different alternatives, such
        as labor rates, energy prices, tax and duties, raw materials prices, and transportation costs,
        that are relevant for a monetary comparison of countries in consideration. Using the
        quantitative data, the project team is able to examine the financial outcomes by perform-
        ing benefit/cost analysis and return-on-asset calculations. According to the outcomes of

        the financial analysis, the decision matrix is continuously updated. The decision matrix
        also can be used as a tool for what-if analysis in the proceeding stages of the outsourcing
        project.
           The challenge is that the real results are not based solely on financial outcomes
        because the business environment is complex. The interactions between economic and
        sociologic elements must be reflected in the dynamics of outsourcing. Cultural differ-
        ences, language capabilities, and time zones are some of the qualitative variables that
        determine the productivity of outsourcing processes. 13  There may as well be tradeoffs
        among decision variables such as cost, quality, ease of communication, transportation,
        and reliability. For instance, the cost of manufacturing may be low in one country, but if
        there is no technology that can support efficient production, desired level of quality and
        sustainability may not be achieved. By the same token, in the software industry, the infra-
        structure of the country is as important as the technical skills and labor costs. Risk is
        another facet of the problem. Uncertainty must be considered explicit from the financial
        outcomes. Currency fluctuations, political transitions, flexibility, and cultural fit have
        substantial impact on the success of future operations.
           The analyst’s goal is to choose the best alternative—the optimum—but finding the
        optimum is not straightforward in such a complex environment where everything cannot
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