DocumentCode
115409
Title
Service innovation structure analysis for recognizing opportunities and difficulties of M2M businesses
Author
Uchihira, Naoshi ; Ishimatsu, Hirokazu ; Kageyama, Yoshiki ; Kakutani, Yuji ; Mizushima, Kazunori ; Naruse, Hiroshi ; Sakurai, Shigeaki ; Yoneda, Susumu
Author_Institution
Japan Adv. Inst. of Sci. & Technol., Nomi, Japan
fYear
2014
fDate
27-31 July 2014
Firstpage
777
Lastpage
783
Abstract
With the popularization of high-speed and high-capacity communication networks, Machine-to-Machine (M2M) communication has received significant attention. However, even though the related technologies have been actively investigated, creating new businesses based on M2M communication is not easy. This paper proposes a service innovation structure that visualizes the opportunities and difficulties of M2M businesses. In our proposal, opportunities are classified as two types of value creation (optimization value and identification value) using the Sharing-Connecting-Analyzing-Identifying (SCAI) model. In addition, difficulties are discussed using a fishbone chart. The SCAI model pays particular attention to the identification value, which tends to be ignored in other models. Opportunities and difficulties are structured as a map according to backcasting from a desired future. Using this backcasting map, we can discuss M2M businesses more clearly and strategically by recognizing the opportunities and the difficulties with stakeholders.
Keywords
Big Data; cause-effect analysis; data analysis; optimisation; telecommunication networks; M2M businesses; M2M communication; SCAI model; fishbone chart; high-capacity communication networks; identification value; machine-to-machine communication; optimization value; service innovation structure analysis; sharing-connecting-analyzing-identifying model; Big data; Companies; Monitoring; Optimization; Security; Smart homes;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Engineering & Technology (PICMET), 2014 Portland International Conference on
Conference_Location
Kanazawa
Type
conf
Filename
6921148
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