What is it about?
Innovation, like profit, cannot be demanded; it is an elusive goal. Profit is the outcome of doing business well. Corporations sustain profitability over extended periods not by making profit their primary goal, but by consistently addressing the challenges presented by their ever-evolving environment. Similarly, organizations striving for innovation should prioritize solving strategic problems. The strategy body of knowledge lacks the tools needed to diagnose problems and recommend effective solutions. Those problems may be vague and only exist in the minds of leaders, yet be concrete enough to cause discomfort. Tackling them is challenging. If existing policies hinder problem-solving, innovation may require a fundamental overhaul of the organization's business practices. Mathematical modeling and Systems Engineering methods help gain insight on the symptoms, formulate and validate solutions, and develop execution plans. A featured NATO case study illustrates how mathematical modeling and Systems Engineering methods can aid in problem diagnosis and solution development.
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Why is it important?
Innovation is an outcome, not an objective. The confusion between objectives and outcomes is common and may be avoided. However, widespread adoption of these methods faces a hurdle: the need for improved systems education.
Perspectives
Much has been written about change management. Change for change's sake is a waste. I believe useful change is the outcome of solving strategic problems. I hope this approach to change proves useful and effective.
Dr. Pedro Mendes
Read the Original
This page is a summary of: Policy destruction and creation. A systems engineering approach to organizational innovation, Dirección y Organización, December 2023, Asociacion para el Desarrollo de la Ingenieria de Organizacion,
DOI: 10.37610/dyo.v0i81.648.
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