Relationship Network and Business Model Innovation of Start-Up Companies in the Context of Industrial Revolution 4.0: An Evidence from Vietnam
T. N. Ghi, N. T. P. Anh, N. Q. Thu., N. Q. Huan
T. N. Ghi
Available Online 31 January 2020.
- https://doi.org/10.2991/aebmr.k.200127.033How to use a DOI?
- Relationship network, business model innovation, start-up companies
- In the starting phase, despite incentives of government support policies and related entities’ supports, startup companies face many difficulties in accessing external information and resources to innovate current business models. The role of management resources in building relationship networks to promote business model innovation (BMI) is a popular topic but has not been tested in transition markets and the context of Industry 4.0. This study was conducted by applying the Partial Least Squares method (PLS-SEM) to examine relationship networks and BMI of startup companies in Vietnam. The research results showed that relationship with government officials positively influences BMI’s components; social relations positively affect value proposition innovation; relationship with business partners positively influences value creation innovation and value proposition innovation. Relationship network and BMI are essential for startup companies to respond to environmental changes. The research results also provide useful information for startup support organizations in connecting and consulting effective business models for startup companies.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - T. N. Ghi AU - N. T. P. Anh AU - N. Q. Thu. AU - N. Q. Huan PY - 2020 DA - 2020/01/31 TI - Relationship Network and Business Model Innovation of Start-Up Companies in the Context of Industrial Revolution 4.0: An Evidence from Vietnam BT - Proceedings of the 17 th International Symposium on Management (INSYMA 2020) PB - Atlantis Press SP - 162 EP - 166 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200127.033 DO - https://doi.org/10.2991/aebmr.k.200127.033 ID - Ghi2020 ER -