Abstract

When a company pursues entrepreneurial initiatives targeting innovation, it often faces two strategic questions – what magnitude of entrepreneurial events should it pursue, and with what frequency should these innovations occur? We introduce an analytical framework, based on systems-engineering principles, that guides these twin decisions, allowing companies to benchmark their entrepreneurial initiatives against their industry cohort. The key observable outputs – frequency and amplitude – are key inputs into the mathematics characterizing a sinusoidal curve. Adopting this framework gives companies an analytical model to benchmark its profile against the industry curve before it commits to its corporate entrepreneurship strategies, thus informing its decision-makers and minimizing wasted resources in capital, time, and labor as well as avoiding confusion of strategic direction.

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