Designing a satisfaction-oriented option analysis framework to support organization decisions on online training project

Online training or web-based training has been widely adopted by organizations. Due to the high cost of time, money and human resources, it is important for decision makers to superintend those projects’ performance. However, existing frameworks for evaluating such project’s performance are rare. In an attempt to help decision makers monitor their online training projects, this study proposes a satisfaction-oriented framework to evaluate nonprofit-oriented projects’ performance using an option pricing approach. This framework can be also seamlessly applied to any IT project that has both quantitative and qualitative factors which require evaluation under uncertainties. In order to construct an ideal evaluation framework, this study proposes a satisfaction-oriented option analysis framework that can be applied to evaluate both quantitative and qualitative measurements on the same scale. Meanwhile, this study constructs a measurement framework that integrates Kirkpatrick’s and Black Scholes models with theoretical groundings to support performance evaluation. At the end of this paper provides an empirical study that demonstrates the analytical procedures to apply the proposed framework to real world applications.