Cart (Loading....) | Create Account
Close category search window

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Hsiao-Ya Chiu ; Dept. of Manage. Inf., Yu Da Coll. of Bus., Tainan

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 projectspsila performance. However, existing frameworks for evaluating such projectpsilas 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 projectspsila 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 Kirkpatrickpsilas 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.

Published in:

Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on

Date of Conference:

1-6 June 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.