Start Date
11-8-2016
Description
It is important that organizations comply with IT governance policies enforced by IT governance bodies. A challenge exists as organizations often struggle with understanding IT governance policies written in natural language. Reading and analyzing IT policy documents is often time consuming and inefficient. Motivated by this challenge, we develop principles of goal discovery, apply them to the analysis of IT governance policy documents and develop taxonomy for IT policy documents. Furthermore, we automate the goal discovery process by using a keyword-based approach. Our goal discovery principles along with the new taxonomy help organizations better understand IT governance policies and aid in resolving compliance issues in managing various IT assets. This research contributes to the body of design science research by developing goal mining heuristics for analyzing IT governance policy documents. It also contributes to practice by proposing an efficient way to analyze and understand IT governance policies.
Recommended Citation
Vlas, Radu and Lee, Jong Seok, "Principles of Goal Discovery in IT Governance Policy Documents" (2016). AMCIS 2016 Proceedings. 7.
https://aisel.aisnet.org/amcis2016/SCU/Presentations/7
Principles of Goal Discovery in IT Governance Policy Documents
It is important that organizations comply with IT governance policies enforced by IT governance bodies. A challenge exists as organizations often struggle with understanding IT governance policies written in natural language. Reading and analyzing IT policy documents is often time consuming and inefficient. Motivated by this challenge, we develop principles of goal discovery, apply them to the analysis of IT governance policy documents and develop taxonomy for IT policy documents. Furthermore, we automate the goal discovery process by using a keyword-based approach. Our goal discovery principles along with the new taxonomy help organizations better understand IT governance policies and aid in resolving compliance issues in managing various IT assets. This research contributes to the body of design science research by developing goal mining heuristics for analyzing IT governance policy documents. It also contributes to practice by proposing an efficient way to analyze and understand IT governance policies.