Utilizing the QFD to Make the Most Potential Marketing Strategy through Applying the Innovative Wireless Technology in a Hypercompetitive Era

Ming Yuan Hsieh; Chaang Yung Kung; Chih Sung Lai; Chih Tung Chen

doi:10.4028/www.scientific.net/KEM.467-469.1000

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Utilizing the QFD to Make the Most Potential...

Utilizing the QFD to Make the Most Potential Marketing Strategy through Applying the Innovative Wireless Technology in a Hypercompetitive Era

Abstract:

In this research, three necessary relations are cross-analyzed by eighteen customers’ needs (WHATs) and nineteen corporate i-technological measures (HOWs) through the use of the application of the House of Quality (HOQ) model of the Quality Function Development (QFD) and a comparison of the Multiple Criteria Decision Making (MCDM) for discussing the contemporary commerce environment. The evaluation that contributed the most is the comprehensive methodology and associated 7-steps measurement of the HOQ model of the QFD are applied in order to avoid research arbitrariness, for evaluation comparability and linguistic vagueness, which are the pellucid measured characteristics of the HOQ models of the QFD regarding the features of complicated theoretical concepts, data-collecting processes and computed procedures. Specifically, the application of the quantitative entropy methods, similar measure and the TOPSIS are utilized in this study to minimize the indistinctness of the linguistic exactitude and to decreasing the subjective concepts of the five selected customers. According to the measured consequences in this study, it is very apparent that enterprises have to develop a creative i-technological marketing strategy to create an effective and efficient i-technological interface in order to achieve the customers’ desires consisted of sale customization in product concentrated subjective and sale advertisement, sale promotion and sale employees in promotion considered session. Eventually, some suggestions for managers and researchers are inductively formed to further develop the best innovative (i-technological) marketing strategy for enterprises in a thriving cyber commerce environment.

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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

1000-1005

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.1000

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Online since:

February 2011

Authors:

Ming Yuan Hsieh, Chaang Yung Kung, Chih Sung Lai, Chih Tung Chen

Keywords:

Artificial Intelligence (AI), Digit-Decision-Model, Strategy Management Theory (SMT)

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References

[1] Adamopoulos, G. I. and C. P. Pappis. A fuzzy-Linguistic Approach to Multicriteria Sequencing Problem. European Journal of Operational Research, Vol. 92 (1996), pp.628-636.

DOI: 10.1016/0377-2217(95)00091-7

Google Scholar

[2] Akao, Y. 1997. QFD: Past, present, and future. In Proceedings of the international symposium on QFD'97, Linkoping (1997).

Google Scholar

[3] Anasari, A., & Modarress, B. Quality function deployment: The role of suppliers, International Journal of Purchasing and Materials Management, Vol. 30(4) (1994), pp.28-35.

DOI: 10.1111/j.1745-493x.1994.tb00271.x

Google Scholar

[4] Barbarosoglu, G., and Yazgac, T. An Application of the Analytic Network Process to the Supplier Selection Problem. Production and Inventory Management Journal, Vol. 38(1) (1997), pp.14-21.

Google Scholar

[5] Asan, U., Erhan Bozdag, C., & Polat, S. A fuzzy approach to qualitative cross impact analysis. Omega – International Journal of Management Science, Vol. 32(6) (2004), p.443–458.

DOI: 10.1016/j.omega.2004.02.006

Google Scholar

[6] Bevilacqua, M., Ciarapicab, F. E., & Giacchettab, G. A fuzzy-QFD approach to supplier selection. Journal of Purchasing & Supply Management, Vol. 12 (2006), p.14–27.

DOI: 10.1016/j.pursup.2006.02.001

Google Scholar

[7] Chan, L. K., & Wu, M. L. Quality function deployment: A literature review. European Journal of Operational Research, Vol. 143 (2002), p.463–497.

DOI: 10.1016/s0377-2217(02)00178-9

Google Scholar

[8] Chen, L. H., & Chiou, T. W. A fuzzy credit-rating approach for commercial loans: A Taiwan case. Omega – International Journal of Management Science, Vol. 27(4) (1999), p.407–419.

DOI: 10.1016/s0305-0483(98)00051-6

Google Scholar

[9] Chiou, H. K., Tzeng, G. H., & Cheng, D. C. Evaluating sustainable fishing development strategies using Fuzzy MCDM approach. Omega – International Journal of Management Science, Vol. 33(3) (2005), p.223–234.

DOI: 10.1016/j.omega.2004.04.011

Google Scholar

[10] Dyer, R. F., & Forman, E. H. Group decision support with the Analytic Network Process. Decision Support Systems, Vol. 8(2) (1992), p.99–124.

DOI: 10.1016/0167-9236(92)90003-8

Google Scholar