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118    MANAGING KNOWLEDGE WORK AND INNOVATION

                          from the knowledge derived from a particular project. In this way, instead of tak-
                          ing a collaborative, more trust-based, approach that might maximize the chance
                          of success in future development, firms adopt a ‘black boxing’ strategy focused
                          on securing a good return on the investments already made. We see this issue very
                          clearly in the two cases at the end of this chapter.
                            The issue of the value of knowledge derived from IP protection is closely
                          related to inter-organizational power dynamics. Hardy and Phillips (1998)
                          identify three important aspects of inter-organizational power dynamics: formal
                          authority, critical resources and discursive legitimacy. Formal authority refers to
                          the recognized, legitimate right to make a decision. In a complex project con-
                          text, however, such power is often ambiguous – it can rest with one particular
                          project or be distributed across projects and/or shift over time. This can create
                          problems for knowledge sharing across projects.
                            In the case of critical resources, if one project relies on another for such
                          resources as information, money, equipment, the dependent project is at a power
                          disadvantage, as depicted by resource dependency theory (Pfeffer and Salancik,
                          1978). Thus, by having power based on resources (including knowledge), one
                          organization can exercise power over its partner by controlling resources. This
                          can create problems for knowledge sharing as the more powerful partner proj-
                          ect may be able to withhold resources from the less powerful partner project,
                          if this is in its interests. Thus, although complementarities between knowledge
                          resources may bring partners together, ultimately the effort placed on knowl-
                          edge integration may be restricted by these power-dependency relationships.
                          In this way, aligning interests and, more importantly, sustaining alignment of
                          interests when the inevitable twists and turns of fortune occur become crucial
                          but also very difficult to achieve.
                            Finally, discursive legitimacy arises from the ability of one interest group
                          to legitimize their demands and ‘de-legitimize’ the demands of others by the
                          management of meaning (Pettigrew, 1973). For instance, having a scientific
                          reputation may afford one project team more influence over decisions than
                          its resource-rich partner. In this way, knowledge integration in complex
                          project contexts should be seen as involving a range of actors negotiating and
                          bargaining between different perspectives and identities within shifting relations
                          and domains of power. This is likely to mean that in many cases knowledge
                          from the interdependent projects will not be effectively integrated because
                          interdependencies between projects will be managed sequentially or in a pooled
                          fashion, without the level of reciprocity that is required. This is illustrated in the
                          case at the end of this chapter.

                          >> CONCLUSION

                          Exploiting knowledge that is created within a particular project – so that it can be
                          reused in other contexts or integrated with knowledge created in other projects –
                          is not easy. In this chapter we have examined a number of reasons for this. One
                          particular problem occurs because of the nested nature of the learning within









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