IIM  Vol.5 No.3 , May 2013
Analysis of Influence of Price to Customer Satisfaction Based on the Prediction Models
Author(s) Kazuhiro Esaki*
ABSTRACT

For the purpose of improvement of the sales, confirming the influence of price to the sales and customer satisfaction of the product is important. The most suitable price should be determined from the view point of customers, and it is extremely important to implement a high quality product corresponding to the real need of customers. It may have close relationship between cost and an expense to implement the individual inherent attribute of system product. Also, it may have close relationship between production cost and price of product. For the purpose of improvement of the customer satisfaction for quality of system product, the method of quantitative quality requirement and evaluation based on the ISO/IEC9126 quality model that includes six quality characteristics is widely recognized. In the precedent study, I have introduced the requirements definition method for the quality of system product based on the system quality model defined in ISO/IEC9126 and proposed the effectiveness of it statistically. In the previous study, I have also confirmed the relationship between inherent attributes of the product and quantitative result of the measured value of total customer satisfaction from the view point of six quality characteristics statistically. I performed the development of the prediction model to estimate the total customer satisfaction for the system product from the view point of inherent attribute of the product. And, I have proposed the effectiveness of application of the estimated prediction model and possibility of improvement of the total customer satisfaction of a system product. Based on the result of previous study, in this paper, I propose the result of investigation of influence of price to customer satisfaction, and the possibility of application of estimated prediction model for improvement of the total customer satisfaction of system product based on the price of product. Also, based on the result of investigation of relationship among price and inherent attributes of product, I propose the possibility of application of estimated prediction model and improvement of the price of system product from the view point of inherent attributes of product.


Cite this paper
K. Esaki, "Analysis of Influence of Price to Customer Satisfaction Based on the Prediction Models," Intelligent Information Management, Vol. 5 No. 3, 2013, pp. 93-102. doi: 10.4236/iim.2013.53010.
References
[1]   ISO/IEC25000, “Software Engineering-Software Product Quality Requirements and Evaluation (SQuaRE)—Guide to SQuaRE,” International Organization for Standardization, 2005.

[2]   ISO/IEC25001, “Software Engineering-Software Product Quality Requirements and Evaluation (SQuaRE)—Planning and Management,” International Organization for Standardization, 2007.

[3]   ISO/IEC25030, “Software Engineering-Software Product Quality Requirements and Evaluation (SQuaRE)—Quality Requirement,” International Organization for Standardization, 2007.

[4]   ISO/IEC25040, “Software Engineering-System and Software Quality Requirements and Evaluation (SQuaRE)— Evaluation Process,” 2011.

[5]   ISO/IEC25041, “Software Engineering-System and Software Quality Requirements and Evaluation (SQuaRE)— Evaluation Guide for Developers, Acquirers and Independent Evaluators,” 2012.

[6]   K, Esaki1, “System Quality Requirement and Evaluation, Importance of Application of the ISO/IEC25000 Series,” Global Perspective on Engineering Management, Vol. 2, No. 2, 2013.

[7]   ISO/IEC9126-1, “Software Engineering-Product Quality— Part1: Quality model,” 2001.

[8]   ISO/IEC25010, “Software Engineering-System and Software Quality Requirements and Evaluation (SQuaRE)— System and Software Quality Model,” International Organization for Standardization, 2011.

[9]   B. W. Boehm, et al., “Quantative Ev. of Software Quality,” 2nd ICSE, 1976, pp. 596-605.

[10]   J. A. McCall, et al., “Factors in Software Quality,” RADC TR-77369, 1977.

[11]   K. Esaki, “Verification of Quality Requirement Method,” American Journal of Operations Research, Vol. 2, No.1, 2013, pp.70-79.

[12]   K. Esaki, Y. Ichinose and S. Yamada, “Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application,” American Journal of Operations Research, Vol. 3, No. 1A, 2012, pp.43-50.

[13]   http://www.kakaku.com

 
 
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