Read the Original Article at http://www.informationweek.com/news/showArticle.jhtml?articleID=229204105
I promised in December that I would share a social media capability maturity model that I've been sketching out, so here goes. Capability maturity models (CMMs) are a standard part of our conceptual vocabulary when talking about organizational change, but applying the idea to social media presents some special problems which I need to discuss first. It is not a simple matter of drawing a little evolution curve and labeling some arbitrarily chosen levels of competence. In other words, if you are thinking in terms of a diagram like this (with indicators like "Level 1.2: some employees blog; Level 1.8: many employees blog, most people twitter"), STOP!
CMMs 101We are all familiar with ideas like the software development CMM. In Competing with Analytics, Davenport and Harris offered one for analytics capabilities. CMMs are useful wherever you think there is an adoption and diffusion process going on in the economy, around a new and broadly useful capability innovation. CMMs help guide significant change in an organization's behavior. Hype cycles help you time the adoption decision. When a capability is first developed, everybody is fumbling with it. Then some organizations get the formula right, and go through the learning curve to become the first sui generis "mature" players. Somebody, often an analyst or other neutral "thought leader" notices that a pattern has emerged, and codifies and documents it, and holds up one of the pioneering companies as a benchmark (for example, Motorola and Six Sigma).This then, becomes the road map with which later adopters attempt to catch up with the trailblazing pioneers. Those who do not adapt start to lose competitive advantage and sometimes go out of business, and when the organizational innovation finally diffuses completely through the economy, sector by sector, it becomes a cost of doing business. For most of the economy, it is a period of relatively slow Darwinian evolution, driven by the rate of the diffusion. Unless you happen to be a vendor of the new capability or whatever it replaces, process innovations only create "keep up" work but do not fundamentally mess with your market or business model.Or at least that's the case with well-defined capabilities with functionally localized impact like (say) the telephone. It caused a new market to grow, another (paper mail) to be disrupted, and a "keep up" pressure on everybody else by allowing one function (oral communication) to become more powerful. Furniture markers still made furniture, potato chip makers still made potato chips. Some furniture and potato chip makers adopted the telephone earlier than others. A few unfortunate players might have been in such bad shape that delay in adopting the telephone killed them. But survival in these markets still depended primarily on the quality of your furniture or potato chips. Telephone adoption at best provided a temporary advantage to a few players, and a final insurmountable challenge to already unhealthy outfits.In other words, most capability innovations are only locally disruptive (to vendors of substitute capabilities). What happens when new capabilities emerge that are too powerful to simply diffuse through the economy and become absorbed? I call these fertile capabilities. They cause across-the board disruption in all sectors, and must be treated differently.Fertile CapabilitiesThe problem with highly protean technologies like the original Internet is that they are highly fertile. You can use them in a vast number of ways. They open up opportunities for disruptive new business models, with differentiated products and services, in every sector, not just the capability sector. The telephone might have allowed the automobile sector to manage inventories better, but it did not give us new types of cars. The cellphone and GPS, on the other hand, might give us new types of cars. You can think of a spectrum of fertility, based on the extent to which a capability innovation supports new business models in all sectors of the economy. For example, you could say: