Handbook of Research on Leadership and Creativity
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Handbook of Research on Leadership and Creativity

Edited by Michael D. Mumford and Sven Hemlin

The rapid pace of technological change and globalization of products, competition and services have conspired to place a new premium on innovation for firms across the world. Although many variables influence creativity and innovation, the effective leadership of creative teams has proved especially important. This timely Handbook presents the state of the art for what leaders must do to lead creative teams and how they should do it.
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Chapter 10: Leader structure and consideration for innovation

Gina Scott Ligon and Douglas C. Derrick


Leading for innovation is inherently cognitive in nature, but its implementation is often through the behaviors of managers of creative people, teams, and organizations. One challenge is that leading for creativity requires unique behaviors in order to provide appropriate structure and consideration that result in innovative performance. In this chapter, the authors review task- and person-focused behavioral theories and then develop a multi-level framework with specific guidelines for leading for innovation. The model looks at multiple criteria including three group levels (individual, team, and organization) and three specific areas that require attention for structure and consideration: idea development, work processes, and social environment. The intersection of these dynamics across levels in an organizational setting provides a framework that allows the authors to provide recommendations for leaders. They develop 20 different propositions that touch all of the levels in the model; although all the behaviors are important and could stand alone, this taxonomy allows for a leader to make informed decisions about how to initiate structure and what types of consideration to provide. Similarly, the model illustrates how the leadership behaviors impact the various conceptual areas and organizational. They conclude with a call for additional exploration and utilization of the hypothesized behaviors in the model.

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