MODELING USERS’ ATTITUDES TOWARD ERP SYSTEMS WITH A BAYESIAN NETWORK

Authors

  • Han-Ying Kao National Dong Hwa University
  • Chu-Ling Hsu National Dong Hwa University

DOI:

https://doi.org/10.23055/ijietap.2011.18.11.291

Keywords:

Bayesian networks, ERP systems, users’ attitudes, knowledge bases, marketing strategies.

Abstract

This study proposes a robust approach, Bayesian networks, in developing marketing knowledge bases of users’ attitudes toward ERP systems. Using the Bayesian network, the factors and their interrelationship will be modeled compactly in graphical as well as numerical levels. This work first identifies the factors influencing the decision on ERP systems implementation. Next, based on these factors the questionnaires to investigate users’ attitudes towards ERP systems are designed, which are further analyzed for the structure of the Bayesian network. Third, the parameters of the Bayesian network are learned and tested. Finally, this paper demonstrates how Bayesian networks support prediction and actions in ERP system marketing. This paper aims to propose the knowledge model in ERP software industry, which facilitates marketing strategy generation.

Author Biographies

Han-Ying Kao, National Dong Hwa University

Han-Ying Kao is currently the associate professor with Department of Computer and Information Science, National Dong Hwa University, Taiwan. She received her Ph.D. degree in information management from National Chiao Tung University, Taiwan. She has five years experiences in manufacturing industry and more than ten years with academic fields. Her current interests are graphical decision models, fuzzy optimization, supply chain management, information systems, etc. She has published 14 journal articles and over 30 conference papers.

Chu-Ling Hsu, National Dong Hwa University

Chu-Ling Hsu is current the information systems staff with the library of National Dong Hwa University, Taiwan. She gained her master degree in learning technologies from National Dong Hwa University. Her interests include multi-criteria decision models, information systems, and so on.

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Published

2011-12-29

How to Cite

Kao, H.-Y., & Hsu, C.-L. (2011). MODELING USERS’ ATTITUDES TOWARD ERP SYSTEMS WITH A BAYESIAN NETWORK. International Journal of Industrial Engineering: Theory, Applications and Practice, 18(11). https://doi.org/10.23055/ijietap.2011.18.11.291

Issue

Vol. 18 No. 11 (2011)

Section

Production Planning and Control

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