In the 1990s and at the turn of the millennium, big changes took place among the Swedish ITrelated
companies as a large number of such companies were founded during this period, but also
since many went bankrupt, merged or were acquired. Such events are likely to affect the
companies that have been engaged in doing business with the IT-providers, and the turbulence
among the Swedish IT-related companies is seen, in this work, as events that are likely to cause
change of the relations between companies.
This licentiate thesis is based on a business network approach, in which the interaction between
companies is seen as long-term and mutual business relationships. These relationships are
connected to each other in the sense that they affect each other, and together the connected
business relationships form what is called business networks. The many events among the ITproviding
actors are likely to affect the business network as actors, and thereby relationships,
disappeared or transformed. But change in business networks has previously been studied mostly
as incremental processes, mainly dealt with through adaptation within the existing business
relationships. This study, however, is interested in structural aspects of business networks, which
means that it is the composition of business networks that is in focus.
The aim of this thesis is to develop a technique for studying structural change of business
networks, and the ‘structuration technique’ designed is quite different from the traditional
research methods used to study business networks. By performing structurized coding of metadata,
based on news items from 1994-2003 that concerns mergers, acquisitions or bankruptcies
involving at least one Swedish IT-related company, a quite extensive amount of organized data
can be obtained. The coding scheme includes aspects concerning both the events and the
relations between actors, as the news items often mention, for example, some important
customers of the IT-providers involved.
To be able to capture structural change of business networks, subsets of networks are addressed,
since entire business networks can hardly be studied. These subsets are referred to as ‘network
elements’, and it is change in the composition of such network elements that the structuration
technique has been designed to study, something that can be difficult to do with traditional
methods. Although only a part of the intended data has been structurized so far, the technique
seems promising both, as indicated, in the large amount of data that the news items yield, and in
the flexible potential for analysis of the structurized data. It is, thus, left for future studies to work
out strategies for analysing the data in order to find structural change of business networks.