IT Staff Sourcing in Financial Institutions : A Decision Support Approach for Cost-Efficient Hiring

This research examines a decision support approach aimed at improving staff sourcing within the Chief Innovation and Technology Officer department of Rabobank. The absence of a standardized framework for selecting staff work locations (internal, onsite, offsite) and contract types (staff augmentation, teaming, Statement of Work) has led to inefficient and inconsistent sourcing decisions, elevated costs, and a lack of transparency and accountability. This research proposes a structured framework in the form of a decision tree to address these challenges and guide the selection of appropriate work locations and contract types during staff sourcing decisions. This research develops a decision tree using a hybrid methodology that combines literature review, expert interviews, and data analysis. These methods identify key sourcing factors and criteria, including cost, strategy, risk, technology, and vendor -related considerations, which inform the development of the decision tree. Additionally, these research methods provide insights into the sourcing process and highlight opportunities for potential cost reductions.