Abstract: Computers are machines for the approximate execution of mathematical operations. By using appropriate software, computers can be used to help solve practical problems. The process of producing software is a quite complicated one and surprisingly is usually not discussed in terms of figuring out the Mathematical model that finally is going to be evaluated by the computer. In this paper we identify the software process stage, in which the Mathematical model is produced. We also discuss the Mathematical concept of quantity, how to measure quantities and Mathematical model. We moreover discuss the indispensability of models when it comes to acquiring knowledge about the world. We conclude the paper with a brief review of quality aspects of Mathematical models and first ideas about how to engineer Mathematical models.

• Publication Date: 14-Dec-2024
• DOI: 10.15224/978-1-63248-197-9-01
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• Downloads: 0

Abstract: Based on four post-acquisition experiences of one global medical system manufacturing firm, this study examines how knowledge cleansing occurs in post-acquisition integration. The two factors are important in explaining cleansing after the acquisition: the perceived strategic value of acquired knowledge and the target firm’s certainty level on protecting its knowledge. The case finding shows four cases are divided into two high-cleansing and two low-cleansing cases. Both the combination of high value of knowledge and high certainty of knowledge protection and the combination of low value of knowledge and low certainty of knowledge protection turned out as high cleansing. In contrast, high-low and low-high combinations of the two factors resulted in low cleansing. Based on this categorization, the study develops the process model of knowledge cleansing in post-acquisition integration. This study sheds new light on the knowledge management study in post-acquisition integration. It is als

• Publication Date: 14-Dec-2024
• DOI: 10.15224/978-1-63248-197-9-02
• Views: 0
• Downloads: 0