| dc.description.abstract | As innovation is becoming more and more important for both scientists and firms alike, much
research is being put into better understanding all aspects of how innovation comes about and why
some innovation projects are successful while others are not. However now that several studies have
been conducted into understanding why some firms are better in translating their innovation
strategy into successful products, it is time to think about the step which comes before that: the
process of the strategy definition. This research uses the upper‐echelon theory to underpin the
importance of the top management and investigates how the innovation strategy of a firm is affected
by diversity within its top management team. As indicated in earlier literature, this relationship is
assumed to be indirect due to the presence of some mediating variables which are included in this
research. The firms chosen to be studied in this research are Nokia, Motorola and LG which are
mobile phone producers. Since this is such a highly innovative industry there is a great need for highquality
innovation strategies. The research method of qualitative content analysis is used to examine
the diversity in top management characteristics for these firms in the period of 2002‐2010 and their
influences on the included mediating variables and ultimately on the defined innovation strategies.
The results of this research show that diversity in top management team characteristics indeed has a
profound effect on the innovation strategy as defined by the team. The task‐oriented dimension of
diversity, which includes the indicators of top management team tenure, industry background, job
background and firm tenure, has a clear and direct effect on a firm’s innovation strategies. A team
with a higher degree of diversity in these indicators is better capable of defining high‐quality
innovation strategies if this diversity is exploited through a medium degree of task conflict between
the top managers. The relations‐oriented dimension of diversity, consisting of the indicators of
gender, ethnicity and age, does not seem to have a direct influence on the innovation strategies of
these firms. Only if a change in diversity of this dimension affects the task‐oriented dimension could
any relationship be identified. Based on these findings, several important implications to scientists
and firms interested in innovation are presented. | |
