Empirical analysis of the evolution of a taxonomy for best practices
Taxonomies play an increasingly role in knowledge management, providing the basis on which to find and communicate knowledge, information and metrics. However, knowledge continues to evolve over time. As a result, taxonomies also need to continue to evolve. ::: ::: Two different evolved versions of a taxonomy for best practices, each based on the same original taxonomy were analyzed. This research investigated empirical approaches to trace the changes in the original taxonomy. In so doing, an approach using empirical findings to monitoring and anticipating taxonomy change is initiated. There were a number of findings, including a tendency to evolve to greater complexity.
In the overall ownership cost of enterprise system, the maintenance cost consists of a major percentage. During the lifetime of an enterprise system, process customization is the most frequent maintenance efforts. However, current processing method has limited scalability and efficiency. In this case study, we explained how a scalable and efficient customization processing method was implemented. This method used the carbon emission trading mechanism to facilitate the cost benefit analysis of customization request. It also used distributed processing principle to improve the overall processing efficiency. Feedback from a pilot implementation in a large manufacturer included.