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Strategies & Market Trends : Gorilla and King Portfolio Candidates -- Ignore unavailable to you. Want to Upgrade?


To: Judith Williams who wrote (31514)9/12/2000 11:16:17 PM
From: Mike Buckley  Read Replies (2) | Respond to of 54805
 
Judith,

Thanks for taking the time to address the network stuff. When I posted the initial message that got you thinking, I wasn't counting on having to wade through such deep-thinking stuff as you proposed :), so bear with me if I appear to gloss over your stuff too much.

1. Can we get a handle on intangible assets--categorize them--and correlate them to knowledge earnings, intellectual earnings.

In essence, I think that is the ideal outcome of the exercise. "Getting a handle" on them comes in various degrees of shallow or deep understandings. Maybe we should aim for waist-deep as a compromise. :)

2. With a better handle on i.a. and how they behave--relationship to profitability, growth, time cycles--we might be able to plot specific technology adoption cycles. We could then see where critical mass is achieved and at what level.

If you and others can do that, more power to you! It's certainly beyond my realm of expertise.

3. If networks are complex systems, then what event might cause as steep a crash as the ascent? Is it only a discontinuous innovation or are there other externalities to consider? What externalities are just general phenomena and which are specific to the network.

I think that depends on the nature of the network. If the business model thrives on being built around a core of discontinuity (such as Gemstar) it's more likely that a displacing discontinuous innovation is needed to "bring it down." However, if it "only" thrives on the magnitdue of its size and a certain amount of "stickiness" (such as AOL), I imagine a change in cultural life styles of the end users is the sort of thing that can effect a change in the network, especially if management is slow to percieve and react to the changed demands of its users.

4. There is clearly an intricate relationship between i.a. and the networks. Does it vary from network to network? In what ways? Can one spot the differences and what do those differences mean for the magnitude of growth and its likely duration?

I forgot already. What does "i. a." mean?

What, in effect, do network effects say about CAP and GAP?

A lot or a little, depending on the network in question, or so I think. That question is exactly why our exercise has potential merit.

Perhaps we could start with three networks from the G&K and Godzilla realms--maybe a Gorilla, a King, and a Godzilla--and analyze them individually.

I like that idea a lot, especially if each can be exemplary of a particular kind of network for which conclusions we draw about the example might be applicable to a group of similar networks as much as is reasonably possible.

Keep the grey matter goin'! Comments from others?

--Mike Buckley



To: Judith Williams who wrote (31514)9/14/2000 5:38:24 PM
From: StockHawk  Read Replies (1) | Respond to of 54805
 
Perhaps we could start with three networks from the G&K and Godzilla realms--maybe a Gorilla, a King, and a Godzilla--and analyze them individually. We could then compare the network effects and try to correlate them with causal factors.

I might start with a slightly different approach. Take just one of the companies we follow, and then compare it to one other company in the same industry. Try to start with two very similar companies, preferably pure-plays. That way we can pick apart what separated the winner from the loser. Perhaps ITWO and MANU might work. How much did each spend on R&D, on marketing, on acquisitions, etc. How did their growth track, what was different when one just started to pull ahead of the other.

If you try to analyze one gorilla, one king and one godzilla then you are likely faced with very different companies in different industries, with different competitors and customer segments, etc. There will be too many extra variables to contend with.

Judith, that was a great write-up you did and I hope I am being helpful.

StockHawk