Vertical Integration Decision Making in Information Technology Management

Vertical integration, also known as make-or-buy, defines whether activities are conducted by company or provided external parties. There different models to support decision making for vertical integration in the literature. However, they ignore uncertainty aspect of integration. As a strategic decision, is multidimensional and less frequent. This study contributes new data-driven model that includes all these characteristics decisions. In this study, methodology suggested benefits from literature assesses results with data obtained real IT cases. Different methodologies were followed reach accurately predicts make-or-buy decisions projects at retail company. Firstly, three knowledge-based generic derived applied predict twenty-one cases IT. The highest accuracy rate reached among was 76%. Secondly, same analyzed Naïve Bayes using factors originally introduced models. algorithm can represent inherent model. 67%. Thirdly, based on IT-related proposed problem correctly classified 86%