Archive for May 18th, 2010

More on “buy vs. build”

May 18th, 2010  |  Published in Uncategorized

In an earlier post I mentioned Nicholas Carr’s book Does IT Matter? and the argument that information technology has become a commodity, and therefore an organization like the University should buy off-the-shelf systems to meet IT needs. I think anyone who wants to engage in the “buy vs. build” argument should read this book in order to understand the reasoning, even if in the end you don’t agree with it.

In this book, Carr reviews how earlier technology advances, like the development of railroads and the harnessing of electricity, played out in business. At first, businesses that embraced the new technology had a strategic advantage over those that didn’t. After a while, though, all businesses were using it (or had gone out of business) so there was no strategic advantage to the technology, it had just become a part of the cost of doing business. Instead of devising a “railroad strategy” or an “electricity strategy,” businesses located near a rail line or hooked up to an electric utility and purchased standard equipment to use the technology. Carr argues that information technology has reached this same stage.

Carr applies his argument to both hardware and software. Now, I’m mostly a software guy, so my discussion will focus on that side. Software is rather unique from an economic point of view: it costs a lot to create a program, but once it’s been written it costs very close to nothing to copy and distribute it. This drives software toward commodity pricing: the more copies of the program you sell, the smaller a percentage of the fixed costs of software development each customer will have to pay.

On the other hand, a big part of commoditization is standardization. I can treat electricity as a commodity because every device plugs into a few standard outlets: rather than having to purchase the same kind of, say, toaster, as my last one because it has a proprietary way to get power from the electrical lines, I can buy any brand. If I have a Ford car, I can replace it with a Chevy without changing the route I drive to work. With software we do not yet have nearly this degree of standardization. As Brian Cantrill said in The Economics of Software :

The problem is that for all of the rhetoric about software becoming a “commodity”, most software is still very much not a commodity: one software product is rarely completely interchangeable with another. The lack of interchangeability isn’t as much of an issue for a project that is still being specified (one can design around the specific intricacies of a specific piece of software), but it’s very much an issue after a project has deployed: deployed systems are rife with implicit dependencies among the different software components. These dependencies — and thus the cost to replace a given software component — tend to increase over time. That is, your demand becomes more and more price inelastic as time goes on, until you reach a point of complete price inelasticity. Perhaps this is the point when you have so much layered on top of the decision, that a change is economically impossible. Or perhaps it’s the point when the technical talent that would retool your infrastructure around a different product has gone on to do something else — or perhaps they’re no longer with the company. Whatever the reason, it’s the point after which the software has become so baked into your infrastructure, the decision cannot be revisited.

This is another article you should definitely read if you are interested in this issue. If you do, you’ll see that his analysis has influenced mine. Cantrill’s conclusion is that the peculiar economics of software mean that in the long run open source provides the greatest benefits for both software producers and consumers.

So how does this apply to the University? We are definitely in a “vendor lock-in” situation, and the vendors that have us locked in are not just IBM (as some seem to be framing the issue) but also Software AG and, well, ourselves, with the software we’ve developed in-house. Any change is going to be costly, but also any change will most likely result in being locked in to a new set of vendors. Perhaps Cantrill is right, and we should be looking more closely at open source software if we want to have more flexibility in the future.

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