System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach
Digital companies must improve their business models evolutionarily and innovatively. Therefore, IT investment, especially for revitalizing digital capabilities for operational changes, is important. Most companies are looking to source innovation from outside organizations. Partnership assessment i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-11-01
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| Series: | Journal of Open Innovation: Technology, Market and Complexity |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2199-8531/7/4/219 |
| _version_ | 1797668368834101248 |
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| author | Rivira Yuana Eko Agus Prasetio Rizal Syarief Yandra Arkeman Arif Imam Suroso |
| author_facet | Rivira Yuana Eko Agus Prasetio Rizal Syarief Yandra Arkeman Arif Imam Suroso |
| author_sort | Rivira Yuana |
| collection | DOAJ |
| description | Digital companies must improve their business models evolutionarily and innovatively. Therefore, IT investment, especially for revitalizing digital capabilities for operational changes, is important. Most companies are looking to source innovation from outside organizations. Partnership assessment is a crucial problem since it is not easy to integrate internal and external capabilities. The study aims to define business model innovation based on system dynamics with partnership scenarios. Open innovation is needed to evolve to meet market expansion. Partnership and IP strategies are discussed. System Dynamics modeling is utilized to map a system structure to capture its behavior and the relationships between elements, creating a simulation over time. The study develops a BMI to show how OI variables significantly contribute to the engine of growth for digital companies. The simulation reveals that OI has a significant effect on the company’s performance, indicated by significantly growing revenue after two years. At the early stage, patenting IP is not practical since the companies involved are unclear about the detailed IP. The IP success or the partner failure rate does not affect revenue significantly. After two years, companies sharing IP find the best way to benefit from it and lead to sustainable growth. |
| first_indexed | 2024-03-11T20:27:10Z |
| format | Article |
| id | doaj.art-535939838c964058be778c56c7b7eb55 |
| institution | Directory Open Access Journal |
| issn | 2199-8531 |
| language | English |
| last_indexed | 2024-03-11T20:27:10Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Open Innovation: Technology, Market and Complexity |
| spelling | doaj.art-535939838c964058be778c56c7b7eb552023-10-02T11:46:48ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312021-11-01721921910.3390/joitmc7040219System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation ApproachRivira Yuana0Eko Agus Prasetio1Rizal Syarief2Yandra Arkeman3Arif Imam Suroso4School of Business, IPB University, Bogor 16128, IndonesiaSchool of Business & Management, Bandung Institute of Technology, Bandung 40132, IndonesiaSchool of Business, IPB University, Bogor 16128, IndonesiaSchool of Business, IPB University, Bogor 16128, IndonesiaSchool of Business, IPB University, Bogor 16128, IndonesiaDigital companies must improve their business models evolutionarily and innovatively. Therefore, IT investment, especially for revitalizing digital capabilities for operational changes, is important. Most companies are looking to source innovation from outside organizations. Partnership assessment is a crucial problem since it is not easy to integrate internal and external capabilities. The study aims to define business model innovation based on system dynamics with partnership scenarios. Open innovation is needed to evolve to meet market expansion. Partnership and IP strategies are discussed. System Dynamics modeling is utilized to map a system structure to capture its behavior and the relationships between elements, creating a simulation over time. The study develops a BMI to show how OI variables significantly contribute to the engine of growth for digital companies. The simulation reveals that OI has a significant effect on the company’s performance, indicated by significantly growing revenue after two years. At the early stage, patenting IP is not practical since the companies involved are unclear about the detailed IP. The IP success or the partner failure rate does not affect revenue significantly. After two years, companies sharing IP find the best way to benefit from it and lead to sustainable growth.https://www.mdpi.com/2199-8531/7/4/219open innovationbusiness model innovationsystem dynamics digital companies |
| spellingShingle | Rivira Yuana Eko Agus Prasetio Rizal Syarief Yandra Arkeman Arif Imam Suroso System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach Journal of Open Innovation: Technology, Market and Complexity open innovation business model innovation system dynamics digital companies |
| title | System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach |
| title_full | System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach |
| title_fullStr | System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach |
| title_full_unstemmed | System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach |
| title_short | System Dynamic and Simulation of Business Model Innovation in Digital Companies: An Open Innovation Approach |
| title_sort | system dynamic and simulation of business model innovation in digital companies an open innovation approach |
| topic | open innovation business model innovation system dynamics digital companies |
| url | https://www.mdpi.com/2199-8531/7/4/219 |
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