Mendeley
TY  _  JOUR
ID  -  139511231121464961
TI  -  Identification and analysis of the affecting factors on the success of technology road mapping by using interpretive structural modeling technique
JO  -  Modiriat-e- farda
JA  -  ES
LA  -  fa
SN  -  2228-6047
AU  -  Ahmadi Afsaneh
AU  -  Ghazinoory Seyed Sepehr
AU  -  saghafi Fatemeh
AD  -  مركز تحقيقات سياست علمي كشور
AD  -  دانشگاه تربيت مدرس
AD  -  دانشیار دانشگاه تهران
Y1  -  2017
PY  -  2017
VL  -  51
IS  -  
SP  -  1
EP  -  10
KW  -  : roadmap
KW  -   road mapping
KW  -   interpretive structural modeling
KW  -   success factors


DO  -  
N2  -  With increasing cost, complexity and speed of technological changes and global competition, to ensure that technological investment is consistent and aligned to present and future needs of the organization, industry and country has become the most important challenges for policy makers and managers. So, technology management and innovation through a structured and flexible approach such as TRM is necessary. However Road mapping projects implementation and use of its advantages is impossible without identifying and prioritizing of success factors of technology road mapping. The aim of this work is using interpretive structural modeling technique to analyze the affecting factors on the success of technology road mapping. This helps improving technology road mapping process and identifying appropriate organizational policies. For this purpose, we firstly focus on literature review to extraction of technology road mapping success factors. Then, interpretive structural modeling technique is used for revealing the relation between those factors. For data gathering, 17 questionnaires are distributed among people with executive background or related working experience. The results show that the effective factors were classified in four levels. the most influencing factors are related to "commitment and support of management", "financial support" and "access to data, information and required knowledge", " appropriate participation of people ", "proper facilator" and " Accepting roadmapping ". The most influenced factors are "quality of roadmap" and "flexibility for reasonable changes by updating of roadmap"'. 
UR  - rimag.ir/en/Article/24800
L1  - rimag.ir/en/Article/Download/24800
ER  -  
