
	Information Technology Journal
	Year: 2009 \| Volume: 8 \| Issue: 7 \| Page No.: 1020-1026 DOI: 10.3923/itj.2009.1020.1026

The Application of Value Analysis Based on Kano’s Two Dimensions Model and Value Expansion Model

Kun-Lin Hsieh

Abstract: How to obtain the useful Business Intelligence (BI) had known as an important work for most enterprises in Taiwanese, especial for the leisure industry. Hence, in this study, we will demonstrate a value analysis procedure based on the Kano’s two dimensions model and value expansion model to address such issue. Besides, an illustrative example owing to the leisure farming at Taitung area in Taiwan is also taken to demonstrate the feasibility and rationality of the proposed procedure. The important findings and conclusions in this study can be summarized as: (1) the Must-be values (keep health, self-satisfactory, leisure experience) for leisure farming case were mined by using the proposed Kano’s model; (2) the important products/services, benefits were obtained from the Must-be values by using the proposed value expansion model; (3) managers can know how to rationally and feasibly construct their corresponding competitive strategies for different customers’ clusters.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Employing Artificial Neural Networks into Achieving Parameter Optimization of Multi-Response Problem with Different Importance Degree Consideration

•	A Case Study of Applying Kano’s Model and ANOVA Technique in Evaluating Service Quality

How to cite this article:

Kun-Lin Hsieh , 2009. The Application of Value Analysis Based on Kano’s Two Dimensions Model and Value Expansion Model. Information Technology Journal, 8: 1020-1026.

DOI: 10.3923/itj.2009.1020.1026

URL: https://scialert.net/abstract/?doi=itj.2009.1020.1026

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Science Alert