Networking in the Platform Development of Ecosystems. / Цёхла, Светлана; Симченко, Наталия Александровна.
Digital Transformation in Industry. Digital Twins and New Business Models: Conference proceedings. Springer Nature, 2022. p. 85–94 ( Lecture Notes in Information Systems and Organisation; Vol. 54).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Networking in the Platform Development of Ecosystems
AU - Цёхла, Светлана
AU - Симченко, Наталия Александровна
N1 - Tsohla, S., Simchenko, N. (2022). Networking in the Platform Development of Ecosystems. In: Kumar, V., Leng, J., Akberdina, V., Kuzmin, E. (eds) Digital Transformation in Industry . Lecture Notes in Information Systems and Organisation, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-030-94617-3_7
PY - 2022/4/22
Y1 - 2022/4/22
N2 - The article focuses on the issues related to the networking in the platform development of ecosystems based on the analysis of the experimental transformation of network structures in governance following the principles of the new systemic approach. The problem of networking is setting on the basis of platforms and varieties of the organizational structures according to the type of governance. The platform basis of the network structures development in governance has been rationalized from the methodological perspective and exemplified by such kinds of networks as distribution, franchise and outsourcing. The network structures are characterized by efficient performance and appeal for the potential participants willing to be integrated, which explains their expansion and popularity. The digitalization gives new opportunities to the companies which make for the use of the innovative forms of production, consumption and exchange via digital cooperation. New digital structures eliminate barriers between the industries, create potential for cross-functional products and service development. The results of the networking in the platform development of ecosystems confirm the experimental nature of the transformation in the network structures in governance, which makes the ground for further elaboration of the methodology applied for the systemic analysis in the ecosystems’ economy development.
AB - The article focuses on the issues related to the networking in the platform development of ecosystems based on the analysis of the experimental transformation of network structures in governance following the principles of the new systemic approach. The problem of networking is setting on the basis of platforms and varieties of the organizational structures according to the type of governance. The platform basis of the network structures development in governance has been rationalized from the methodological perspective and exemplified by such kinds of networks as distribution, franchise and outsourcing. The network structures are characterized by efficient performance and appeal for the potential participants willing to be integrated, which explains their expansion and popularity. The digitalization gives new opportunities to the companies which make for the use of the innovative forms of production, consumption and exchange via digital cooperation. New digital structures eliminate barriers between the industries, create potential for cross-functional products and service development. The results of the networking in the platform development of ecosystems confirm the experimental nature of the transformation in the network structures in governance, which makes the ground for further elaboration of the methodology applied for the systemic analysis in the ecosystems’ economy development.
U2 - 10.1007/978-3-030-94617-3_7
DO - 10.1007/978-3-030-94617-3_7
M3 - Conference contribution
T3 - Lecture Notes in Information Systems and Organisation
SP - 85
EP - 94
BT - Digital Transformation in Industry. Digital Twins and New Business Models
PB - Springer Nature
T2 - International scientific conference on Digital Transformation in Industry: Trends, Management, Strategies
Y2 - 28 October 2022 through 29 October 2022
ER -
ID: 140712414