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Sunday Jul 29 2001 | Updated 0009 hrs IST 1339 EST
Mapping advantage
By Invitation / Prasad Kaipa

IT is a well-known fact that 83 per cent of M&As fail to enhance shareholder value and that culture mismatch has been at the root of many of these failures.

Mergers across the Atlantic Ocean fail more often than mergers within the US and the Daimler-Chrysler case is a recent example. Based on our 12-year research and consulting experience with Fortune 200 companies, we have developed a process through which we can map the corporate DNA of organisations and now we are applying it to companies involved in acquisitions or mergers.

This process also helps identify the gaps, matches and appropriate steps that would enhance the chance of success for mergers and acquisitions.

We found that many companies have one unique DNA and one type of culture. It is somewhat easier to map the DNA patterns of these companies.

On the other hand, some companies have different DNA patterns in different divisions/groups, perhaps due to previous acquisitions. Bristol-Myers Squibb, for example, has Clairol hair care products with one kind of DNA, Medical research company which makes prescription drugs with another DNA pattern and Mean-Johnson that makes babymilk products with a third DNA pattern.

In such situations, the 'holding company' might or might not have a unique corporate DNA pattern.

You can predict such companies to break up or sell some of its divisions sooner or later because it is difficult to manage multiple cultures unless you run them as independent divisions.

Some companies experimented a different culture in its research laboratories. IBM, AT&T, (Bell Labs are now part of Lucent) and Xerox are some examples of nurturing different culture in their laboratories.

Culture is the core factor that allows for different DNA patterns to emerge. For example, Xerox PARC has a very different DNA pattern compared to rest of Xerox.

The parent company Xerox has its headquarters in the East while the PARC resides in the West and Xerox had difficulty taking advantage of their relationship.

According to recent news reports, Xerox has put its PARC division up for sale. While we have come up with a way to identify culture DNA and categorize them, the body of knowledge we are drawing from is not new to executives. It has been tacit and not explicitly articulated by others.

Executives with M&A experience intuitively understand when the DNA patterns mis-match between companies. Sometimes, they act on it and sometimes they don't.

For example, in the case of GE and Honeywell merger, some divisions of Honeywell whose DNA patterns don't match that of the parent, will be sold if the merger does go through.

If we can use our DNA approach to help companies to identify, assess and nurture appropriate DNA type in their own company and be clear about the DNA type of the acquired company, we predict, the chances for success can be altered positively.

While each company has its own unique DNA, so far, we have found four categories of DNA (phenotypes). Each category has very different characteristics which pose special issues and offer advantages and when merger or acquisition is proposed between companies belonging to different categories.

The four categories are: 1. Breakthrough 2. Evolution 3. Experimental 4. Business-focus. As the research evolves, I am sure we will find other categories and other patterns.

But for now, we are developing ways to identify unique characteristics of companies that belong to each group listed above.

We believe that leadership, structure, culture and strategy are the cornerstones of an organization and we represent them pictorially in the tetrahedron.

A tetrahedron is a geometrical shape composed of four equilateral triangles. We believe it is like a 'fractal' and is considered to be a building block of the universe.

We mapped four cornerstones of our DNA model onto four corners of the tetrahedron. Then each face of the tetrahedron has three cornerstones and one cornerstone is missing from it and is ideal to represent one of four DNA categories.

In DNA metaphor, these faces represent phenotypes which make up the genes and the tetrahedron represents a living organism. Each tetrahedron represents a DNA map.

This map could be developed for individual company, division or a business unit. We create a matrix that becomes the database for further work. For the purpose of mapping the DNA of a culture, we have identified six base-pairs (instead of four base-pairs in biological DNA (because they together describe all essential elements to take effective action) and they are: vision, decision-making, execution style, discrimination, will and motivation. We use these six characteristics as DNA strands to weave the Culture DNA of the company.

Each strand has three distinct states and we end up with a 6 X 3 matrix as the basis for doing the gap analysis. We have found that, based on these 6 strands, there could be 28 different types of Culture DNA and those fall into four categories we described earlier.

Once the Culture DNA of a company has been identified, more reliable predictions can be made about problems it might face as well as its strengths. These predictions can assist the company in cloning itself when necessary.

SelfCorp also uses 'gap analysis' to help the client-company identify the appropriate steps for successful development beyond where it currently is. Comparing the DNA of two companies informs our advice as to the significance of the culture gap.

SelfCorp can work with companies at the pre-acquisition stage (candidate screening), decision-making stage (due diligence stage to determine which of the potential targets fit well), after the deal is signed stage or during the integration stage.

Obviously the earlier you begin the DNA analysis and mapping, the more returns the company realizes from our work.

(Prasad Kaipa is the CEO of SelfCorp Inc and has been a key researcher behind the concept of culture DNA and design DNA. This is the concluding part of his research paper, the first part of which appeared in this column last week ) -
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