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Applying grey relational analysis to select the optimal public relations agency for the high-tech industry

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2 Author(s)
Pi-Fang Hsu ; Dept. of Commun. Manage., Shih Hsin Univ., Taipei ; Hsin-Tien Han

This study develops a model for selecting public relations (PR) agencies based on high-tech industrial perceptions. The proposed model adopts ldquonominal group technique (NGT)rdquo to identify suitable assessment criteria for selecting PR agencies, and then applies the ldquogrey relational analysis (GRA)rdquo to rank alternatives and select the optimum PR firm for the high-tech industry. Furthermore, this study uses the example of a renowned high-tech communications manufacturer in Taiwan to demonstrate the effectiveness of the model in PR firm selection. The proposed model helps high-tech enterprises to effectively select PR agencies, making it highly applicable in academia and commerce.

Published in:

Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on

Date of Conference:

1-6 June 2008

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