Information Technology Transfer in Econometric Forecasting: A Pictorial Approach

Authors

P. Pete Chong, Department of Quantitative Business Analysis, College of Business, Louisiana State University, Baton Rouge, LA 70803, USA
Ye-Sho Chen, Department of Quantitative Business Analysis, College of Business, Louisiana State University, Baton Rouge, LA 70803, USA
James M. Pruett, Department of Quantitative Business Analysis, College of Business, Louisiana State University, Baton Rouge, LA 70803, USA

Document Type

Research Article

Abstract

Successful information technology transfer requires effective communication and clear, concise information exchange. This paper, using the Louisiana econometric model as a case study, proposes a pictorial approach to present and manage complex factors essential to information technology transfer. The approach utilizes multi-layer entity-relationship diagrams to provide a meaningful framework for the entire forecasting process, provide clarity to ensure better model maintenance when changes in social/economic structures require reformulations, and provide a procedural and data dictionary for clear documentation. The pictorial approach is both intuitive and readable, capable of serving as a task management tool, a model implementation aid, and a system maintenance resource.

DOI

10.1177/026839629300800102

Recommended Citation

Chong, P. Pete; Chen, Ye-Sho; and Pruett, James M. (1993) "Information Technology Transfer in Econometric Forecasting: A Pictorial Approach," Journal of Information Technology: Vol. 8: Iss. 1, Article 2.
DOI: 10.1177/026839629300800102
Available at: https://aisel.aisnet.org/jit/vol8/iss1/2