TY - GEN
T1 - A taxonomical classification of business models on mobile business
T2 - 2006 IEEE International Conference on Management of Innovation and Technology, ICMIT 2006
AU - Kim, Chulhyun
AU - Lee, Hakyeon
AU - Park, Yongtae
PY - 2006
Y1 - 2006
N2 - With the increased interest of m-business, there have been a lot of studies about the business model (BM) on m-business in not only academic field but also commercial field. Among them, the classification of m-BM and analysis of BM patents are some of the main topics in the BM research areas. Previous researches on the classification of m-BM and BM patents can give us the initiating issues of BM on m-business but they are subject to some limitations. The main objective of this paper is to suggest an inductive taxonomical approach for classifying BMs on m-business with a view point of BM structure and compare it with some typological classifications. Specifically, the approach applies a quantitative analysis byemploying BM patents. 9 clusters are found by clustering analysis with SOM (Self-organizing Map) and they are analyzed with citation analysis. They are also compared with some typologies. The result of this study could be used as a basic framework or starting point of the quantitative analysis of BM on m-business.
AB - With the increased interest of m-business, there have been a lot of studies about the business model (BM) on m-business in not only academic field but also commercial field. Among them, the classification of m-BM and analysis of BM patents are some of the main topics in the BM research areas. Previous researches on the classification of m-BM and BM patents can give us the initiating issues of BM on m-business but they are subject to some limitations. The main objective of this paper is to suggest an inductive taxonomical approach for classifying BMs on m-business with a view point of BM structure and compare it with some typological classifications. Specifically, the approach applies a quantitative analysis byemploying BM patents. 9 clusters are found by clustering analysis with SOM (Self-organizing Map) and they are analyzed with citation analysis. They are also compared with some typologies. The result of this study could be used as a basic framework or starting point of the quantitative analysis of BM on m-business.
UR - https://www.scopus.com/pages/publications/34249751133
U2 - 10.1109/ICMIT.2006.262209
DO - 10.1109/ICMIT.2006.262209
M3 - Conference contribution
AN - SCOPUS:34249751133
SN - 1424401488
SN - 9781424401482
T3 - ICMIT 2006 Proceedings - 2006 IEEE International Conference on Management of Innovation and Technology
SP - 478
EP - 482
BT - ICMIT 2006 Proceedings - 2006 IEEE International Conference on Management of Innovation and Technology
Y2 - 21 June 2006 through 23 June 2006
ER -