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Win-win value added statement and IoT-based business model innovation : the case of Haier / Dai Lu and Yin, Huaxiang.
- Format:
- Book
- Author/Creator:
- Lu, Dai, active 2022, author.
- Huaxiang, Yin, author.
- Series:
- SAGE business cases.
- SAGE business cases
- Language:
- English
- Subjects (All):
- Business planning--Case studies.
- Business planning.
- Cost accounting--Case studies.
- Cost accounting.
- Internet of things--Case studies.
- Internet of things.
- Physical Description:
- 1 online resource.
- Other Title:
- Win-win value added statement and internet of things based business model innovation
- Place of Publication:
- London : Renmin University, 2022.
- Summary:
- The case is placed at the background of IoT business model innovation in Haier Group. By focusing on development of the Vaccine Net in the group, this case shows how a new style of managerial report, entitled as the Win-win Value Added Statement, is used for planning business innovation and conducting diagnosis analysis toward the dynamic development of business innovation. In the setting of Vaccine Net, new business opportunities is developed via the way of transforming the ultra-low temperature freezer to an IoT appliance, so as to automatically record and store the timeline of the vaccines' in and out of the freezers at the inoculation station. Thus, IoT big data to support vaccine management has been collected till forming the Vaccine Net. The team of the Vaccine Net further offer extended business service and integrated solutions based on the business scenario of vaccination. Thus, the Vaccine Net has expanded business scenario of the inoculation service and the opportunities of value creation. The causality of value creation behind business model innovations of the Vaccine Net is reflected onto the win-win value added statement. The forward and feedback information of the win-win value added statement is used in business innovation management for the development of the Vaccine Net.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-5296-2286-7
- 9781529622867
- OCLC:
- 1362532443
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