strategy+business, February 28, 2022
by Theodore Kinni
Photograph by R A Kearton
I grabbed Whitney Johnson’s new book, Smart Growth, with similar enthusiasm, because it seemed there might be a more rational and ordered way to view my career. There is. As Johnson might tell it, I didn’t flounder for years; I followed the “S Curve of Learning.”
Johnson, a consultant and speaker, has a knack for picking out theories from the discipline of innovation and applying them to individual growth. In her 2015 book, Disrupt Yourself, she used Clayton Christensen’s theory of disruptive innovation as the foundation for a guide to career-changing moves. In Smart Growth, Johnson applies Everett M. Rogers’s theory of innovation diffusion to forging a career path.
In his 1957 doctoral dissertation, Rogers showed that the number of Iowan farmers adopting a new weed killer followed an S curve: adoption started slowly, with only a few farmers willing to take a chance on the new product; shot upward as the majority of farmers became convinced of its benefits; and then leveled off as the remaining, most cautious farmers finally committed. By the time Rogers’s seminal Diffusion of Innovations was published in 1962, the rural sociologist was convinced that the S curve of innovation diffusion depicted “a kind of universal process of social change.” Indeed, S curves have been used in many arenas since then, and Rogers’s book is among the most cited in the social sciences, according to Google Scholar.
Johnson’s S Curve of Learning follows this well-established path. There’s the slow advancement toward a “launch point,” during which you canvas the (hopefully) myriad opportunities for career growth available to you and pick a promising one. Then there’s the fast growth once you hit the “sweet spot,” as you build momentum, forging and inhabiting the new you. And, finally, there is “mastery,” the stage in which you might cruise for a while, reaping the rewards of your efforts, before you start looking for something new, starting the cycle all over again. Read the rest here.