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Wiley-Blackwell Publishing

Decision Sciences Institute

Decision Sciences Journal

Contact Information

Editor: Vijay R. Kannan
Jon M. Huntsman School of Business
Utah State University

Email Address:

About Us
The Decision Sciences Journal of Innovative Education (DSJIE) is a peer-reviewed journal of the Decision Sciences Institute. Its mission is to publish significant research relevant to teaching, learning, and education in the decision sciences - quantitative and behavioral approaches to managerial decision making. The journal welcomes submissions relevant to the application and practice of the decision sciences both in business and other domains such as, but not limited to, healthcare, product development, and engineering management. Articles submitted to the journal should offer either proven innovation in classroom instruction/delivery, new insights into pedagogy, program development, delivery, or assessment, or empirically based analysis relevant to learning and education in the decision sciences. The goal of the journal is to not only provide resources that can enhance instruction, but serve as a forum for disseminating best practices.

2017 DSJIE Special Issue: Deadline Extended to July 15

DSJIE seeks submissions for a special issue to be published in 2017 on Developing Executive Education Programs with Online Distance Education. For more details please click on the link below. 

2017 Special Issue


Forthcoming Issue: Vol. 14 No. 3

Selected Articles

An Active Learning Exercise for Product Design from an Operations Perspective
Stephen Hill, Elizabeth Baker

Manufacturing Squares: An Integrative Statistical Process Control Exercise
Steven P. Coy

Process Variability and Capability in Candy Production Packaging
Ronald S. Lembke

A Soft OR Approach to Fostering Systems Thinking: SODA Maps plus Joint Analytical Process
Shouhong Wang, Hai Wang


Current Issue: Vol. 14 No. 2

Special Issue on Identifying and Managing Critical Success Factors of Online Education

Selected Articles

The Effectiveness of E-Learning Systems: A Review of the Empirical Literature on Learner Control
Christian Sorgenfrei, Stefan Smolnik

The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Update
Sean Eom, Nicholas J. Ashill

Modeling and Managing Learner Satisfaction: Use of Learner Feedback to Enhance Blended and Online Learning Experience
Nai Li, Vicky Marsh, Bart Rienties