Service Innovation Structure Analysis for Recognizing Opportunities and Difficulties of M2M Businesses
| Autor: | Yoshiteru Kageyama, Yuji Kakutani, Susumu Yoneda, Shigeaki Sakurai, Kazunori Mizushima, Naoshi Uchihira, Hiroshi Naruse, Hirokazu Ishimatsu |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Structure (mathematical logic)
Service (business) Big Data Engineering Knowledge management Sociology and Political Science business.industry Value proposition Big data Human Factors and Ergonomics Business model Education Identification (information) Service Innovation SCAI Model Business and International Management Service innovation M2M business Backcasting |
| Zdroj: | 2014 Portland International Conference on Management of Engineering & Technology (PICMET). 2014:777-783 |
| Popis: | With the popularization of high-speed and high-capacity communication infrastructure, 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 study proposes a service innovation structure that visualizes the opportunities and difficulties of M2M service businesses. In our proposal, opportunities are classified as two types of value proposition (optimization and identification values) using the Sharing-Connecting-Analyzing-Identifying (SCAI) model. In addition, difficulties are discussed using a fishbone diagram. 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 M2M infrastructure. The backcasting approach is effective to untangle the intertwined difficulties. Using this opportunity-difficulty map, we can discuss and model M2M service businesses more clearly and strategically by recognizing the opportunities and the difficulties with stakeholders. A smart home case is used for explaining the effectiveness of our proposed model. |
| Databáze: | OpenAIRE |
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