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Innovation at Large

Managing Multi-Organization, Multi-Team Projects

Series:

Johanna Schönrok

Due to increasing complexity in new product development multi-organization, multi-team (MOMT) projects are becoming more common. They are formed in different industries like computer, automotive, aircraft, and space research. Since many of these projects still fail, more knowledge on the influences on performance in and of such projects is required in order to be able to manage them successfully. The author examines the influences of communication within and between teams on team and project performance, which in turn depends on applied design principles that structure and facilitate that information flow. Quantitative and qualitative analyses reveal that there are differential relations on the team and project level as well as for effectiveness and efficiency. Managerial implications are given of how to structure MOMT projects and the design problem-solving process and thereby facilitate the information flow within and between teams in order to make the teams and projects successful.

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5 Results of Hypotheses Testing 85

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. 85 5 Results of Hypotheses Testing In this chapter the results of multiple regressions for testing the hypotheses on the local-level relations (intrateam as well as extrateam) – derived in the second and third chapter – are presented and discussed. Based on the information-processing theory, distinct influences of relevant problem-solving communication variables on team effectiveness and team efficiency were stated. These communication variables, in turn, were hypothesized to be dependent on systematic design principles applied to reduce the complexity in the NPD process. According to the discussion in the previous chapter, each hypothesis is tested separately for the two studied MOMT projects within one sample. For every hypothesis testing the control variable team size was applied. First its potential influence on the different dependent variables studies was tested (model CV). It was then tested together with the variable that is hypothesized to have an influence. For testing a curvilinear relationship, both the linear and the quadratic term of the explanatory variable were included in the regression model. At first a closer look is taken at the influence of problem-solving communication on team performance – team effectiveness and then team efficiency – (Chapter 2 hypotheses). In the section thereafter, its dependence on systematic design principles (Chapter 3 hypotheses) is addressed. In addition to the quantitative questionnaire data, qualitative team leader interview data was also analyzed. A summary on these local-level results is presented in Section 5.3. 5.1 Communication Team Performance As discussed in the second chapter, team performance in MOMT projects is dependent on diverse...

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