This really excellent question was posed by Martin Dugage in a recent discussion in the Value Networks Google Group. If we do believe that the value of a firm is highly dependent on the "quality" of its value networks, shouldn't we be able to establish some forms of correlation between network metrics and market value?
There are a number of people working on this question, including Mark Granovetter at Stanford. There have been a number of attempts to demonstrate that certain social network structures have a greater economic value than others. These methods are only recently being applied to firms as a consideration for valuation. Without attempting to address all the work in this area it is certain that linkages between value network patterns and valuations or macroeconomic indicators are beginning to surface. In an evaluation of the impact of research network in Europe, specific value network patterns could be linked to specific patterns of intellectual capital formation at the regional level. Many in the circle of value network practitioners are of the firm believe that research and practice will continue to bear out that certain value network patterns are indeed more financially successful than others. This is one of the reasons academics and scholars are flocking to value networks and generating research projects. It is too early to make sweeping statements or draw conclusions until analysts track certain value network patterns and performance indicators over time. ValueNetworks.com Professional Edition tracks exactly those kinds of VN patterns and indicators. The application generates a fully illustrated report of over fifty value network indicators that would support comparison of network patterns with business performance and valuation. For example, centrality in degree shows the value a role gains from the network and out degree indicates the value a Role provides to the network. Overall centrality is about which roles have the most ties or connections. Unlike SNA where high centrality or betweeness shows a power position, a Role with very high betweeness is actually a risk factor in a value network. In combination with transaction speed (also calculated in the application) it can readily be determined whether a role is a bottleneck or an "accelerator" for the network. Another determination of value that can easily be linked to financial indicators are the ratios of tangible to intangible deliverables generated by each role. Centrality indicators are essential to structure and value. There is an optimal ratio for specific types of value networks. It's one of the reasons to use VNA to analyze classic business activities like project management and industry specific activities like biotechnology research. This ratio is also manifest in phase changes in networks such as commercializing a scientific discovery. ValueNetworks.com Professional Edition is instrumental in conducting and accelerating these key benchmarks. Oliver Schwabe has some intriguing reflections on those possibilities in, "Benchmarking Value Networks Against the Golden Proportion," linked below. |