DocumentCode :
2428311
Title :
Developing the professional competency indicators for the intellectual property service industry - an approach with the interpretive structural modeling and analytic network process
Author :
Tsai, C.T. ; Lin, C.C. ; Kuo, Andy
Author_Institution :
Inst. of Manage. of Technol., Feng Chia Univ., Taichung, Taiwan
fYear :
2012
fDate :
11-13 June 2012
Firstpage :
577
Lastpage :
582
Abstract :
Intellectual property (IP)s´ importance increases and is in a fast-developing phase. However, there is still lacking of good professional service capability indicators for guiding IP agencies and employees. This study focuses on developing the professional IP service industry framework, for evaluating the service quality. Based on the theory of service quality and IP business types, indicators of the framework were proposed and modified after experts´ survey. In addition, after using interpretive structural modeling and analytic network process to explore the relationship between indicators then we suggest a comprehensive framework. These professional competency indicators can provide a guideline for evaluating the service quality offered by IP agencies, moreover for enhancing IP industry´s competitive advantages.
Keywords :
industrial property; personnel; professional aspects; service industries; IP agencies; analytic network process; employees; fast-developing phase; intellectual property service industry; interpretive structural modeling; professional IP service industry framework; professional competency indicators; professional service capability indicators; service quality theory; IP networks; Indexes; Industries; Joining processes; Maintenance engineering; Reliability; Technological innovation; Analytic Network Process; Intellectual Property Right; Intellectual Property Service Industry; Interpretive Structural Modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Innovation and Technology (ICMIT), 2012 IEEE International Conference on
Conference_Location :
Sanur Bali
Print_ISBN :
978-1-4673-0108-4
Type :
conf
DOI :
10.1109/ICMIT.2012.6225870
Filename :
6225870
Link To Document :
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