Estimating Customer Lifetime Value to Prioritize the New Product Development Strategy Based on Howng model and Kano Model

Abstract

In this study, the satisfaction index of new product attribute in terms of development strategy, which includes a number of options for development using Kano questionnaire, in the automotive industry was calculated, and According to the relationship between satisfaction and loyalty, instead of loyalty index, we was used satisfaction Kano index . Then using customer purchase records data within a specified period of time (three years), and the Kano attribute allocation model to various stages of the product life cycle based on interviews with experts, the value of customer life-cycle stages, is calculated. This approach In comparison with other methods for calculating the customer lifetime value is future forwarding and strategic   and is an effective method to  value engineering and optimal allocation of resources because this method prevent the allocation of resources on features that do not increase the value and  do not create satisfaction.

Keywords

References

[1] Chang, Wei-Lun. A knowledge-based system for estimating customer prospect value. Knowledge-Based Systems, Vol.25, No.151, pp.1181-1186, 2011.
[2] Hwang, H., Jung T. and suh, E. "An LTV Model and Customer Segmentation Based on Customer Value: A Case Study on The Wireless Telecommunication Industry", Expert Systems With Applications, Vol.26,No.2, pp.181-188, 2004.
[3] Chen, Shu-Ching."The customer satisfaction-loyalty relation in an interactive e-service setting". Journal of Retailing and Consumer Services.Vol.8,No.2, pp.202-210, 2012.
[4] Reichheld, F.F. and Teal, T. The Loyalty Effect, Harvard Business School Press, Boston, MA, 1996.
[5] Abdinnour -Helm, S.F., Chaparro, B.S. and Farmer, S.M. "Using the end-user computing satisfaction (EUCS) instrument to measure satisfaction with a web site". Decision Sciences,Vol. 36, No.2, pp. 341–364, 2005.
[6] Chan, S.L. and Ip, W.H." A dynamic decision support system to predict the value of customer for new product development". Decision Support Systems, Vol.52,No.1, pp.178-188, 2011.
[7] Kano, N., Seraku, N., Takahashi, F. and Tsuji S." Attractive quality and must-be quality". The Journal of the Japanese Society for Quality Control, Vol.14, No.2, pp.39–48, 1984.
[8] شاهین، آ. و تیموری، ه. "وفاداری مشتری مفاهیم و الگوها". اصفهان: انتشارات جهاد دانشگاهی،1387.
[9] Hoekstra, J. C.and Huizingh, E."The lifetime value concept in customer-based marketing". Journal of Market Focused Management, Vol.3, No.3/4, pp.257-274, 1999.
[10] Cronroos, C. Service Management and Marketing: A Customer Relationship Management Approach. New York: John Wiley & Sons, 2000.
[11] Kahraman, C., Ertay, T. and Buyukozkan, G." A fuzzy optimization model for QFD planning process using analytic network approach". European Journal of Operational Research, Vol171, No.2, pp.390–411, 2006.
[12] Xu, L., Li, Z., Li, S. and Tang, F." A decision support system for product design in concurrent engineering". Decision Support Systems,Vol. 47, pp.2029–2042, 2007.
[13] Liu, X., Zhang, W.J. and Jiang, R."An analytical approach to customer requirement satisfaction in design specification development". IEEE Transactions on Engineering Management, Vol.35, No.1, pp.94–102, 2008.
[14] Lin, C.T. and Chen, C.T." New product go/no-go evaluation at the front end: a fuzzy linguistic Approach". IEEE Transactions on Engineering Management. Vol. 51, No.2, pp.197–207, 2004.
[15] Tsiotsou, R. " The role of perceived product quality and overall satisfaction on purchase intentions". International Journal of Consumer Studies,Vol.30,No.2, pp. 207–217, 2006.
[16] Mikulic´, J. and Prebezˇac, D. Acritical review of techniques for classifying quality attributes in the Kano model".Managing Service Quality, Vol.21, No.1, pp.46–66, 2011.

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History

  • Receive Date: 05 August 2014
  • Revise Date: 23 August 2014
  • Accept Date: 15 September 2014
  • Publish Date: 21 December 2014

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