Journal Published Online: 14 November 2017
Volume 46, Issue 2

A Framework of Applying Ordering Coefficient Based on the Information Energy to Identify the Causal Relationships among Critical Factors from Raw Data

CODEN: JTEVAB

Abstract

Causal relationships among critical factors have been extensively studied in recent years. The most commonly seen methods based on the questionnaire to construct the causal relationships are decision-making trial and evaluation laboratory (DEMATEL) method and semantic structure analysis (SSA) method. However, both methods have their own limitations. In contrast, an ordering coefficient based on information energy has a solid theoretical background to study causal relationships among critical factors. In order to identify the threshold value to establish causal relationships from the raw data, a bootstrapping Monte Carlo simulation for an ordering coefficient based on information energy was conducted. Finally, a brief case study was presented and discussed with the use of an ordering coefficient based on information energy and a bootstrapping Monte Carlo simulation when the raw data are available to construct the causal relationships among the criteria.

Author Information

Shieh, J.-I.
Dept. of M-Commerce and Multimedia Applications, Asia Univ., Taichung City, Taiwan
Wu, H.-H.
Dept. of Business Administration, National Changhua Univ. of Education, Changhua City, Changhua County, Taiwan
Pages: 10
Price: $25.00
Related
Reprints and Permissions
Reprints and copyright permissions can be requested through the
Copyright Clearance Center
Details
Stock #: JTE20150328
ISSN: 0090-3973
DOI: 10.1520/JTE20150328