Title :
Applying grey relational analysis to select the optimal public relations agency for the high-tech industry
Author :
Hsu, Pi-Fang ; Han, Hsin-Tien
Author_Institution :
Dept. of Commun. Manage., Shih Hsin Univ., Taipei
Abstract :
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.
Keywords :
grey systems; innovation management; public relations; research and development management; grey relational analysis; high-tech industry; nominal group technique; optimal public relations agency; Advertising; Communication industry; Crisis management; Industrial relations; Machinery production industries; Management training; Manufacturing industries; Public relations; Strategic planning; Virtual manufacturing;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630440