TY - GEN
T1 - A dynamic business modelling approach to design and experiment new successful business incubator model for Indonesia
AU - Gozali, Lina
AU - Tunjungsari, Hetty Karunia
AU - Zagloel, Teuku Yuri M.
AU - Saraswati, Docki
AU - Tjahjono, Benny
AU - Simatupang, Togar Mangihut
AU - Singgih, Moses Laksono
AU - Masrom, Maslin
AU - Harun, Habibah Norehan
AU - Sutopo, Wahyudi
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2021
Y1 - 2021
N2 - The dynamic systems approach was applied to real business incubators to show practical examples of their use. This proposal illustrates and discusses a strategic design tool based on a combination of conventional Business Model representation schemes and Dynamic Systems modeling. This proposal aims to determine government policy's focus on helping business incubators realize increased business performance and revenue start-up strategies. This research is useful for all stakeholders. It is hoped that this research will produce good government policies to encourage economic growth through the management of business incubators in Indonesia. This research will be intense after measuring the influencing factors. It will be processed and analyzed that policy changes will affect future business incubation models for the Indonesian nation after the Covid 19 pandemic. The method used in this research is a mixture of quantitative and qualitative methodologies. This research took samples from several business incubators at several universities in Indonesia in 2020-2023. Descriptive quantitative and qualitative analysis to reveal each aspect of the assessment: The ability to solve problems, data interpretation results serve to perfect the successful business incubator model's completeness in Indonesia.
AB - The dynamic systems approach was applied to real business incubators to show practical examples of their use. This proposal illustrates and discusses a strategic design tool based on a combination of conventional Business Model representation schemes and Dynamic Systems modeling. This proposal aims to determine government policy's focus on helping business incubators realize increased business performance and revenue start-up strategies. This research is useful for all stakeholders. It is hoped that this research will produce good government policies to encourage economic growth through the management of business incubators in Indonesia. This research will be intense after measuring the influencing factors. It will be processed and analyzed that policy changes will affect future business incubation models for the Indonesian nation after the Covid 19 pandemic. The method used in this research is a mixture of quantitative and qualitative methodologies. This research took samples from several business incubators at several universities in Indonesia in 2020-2023. Descriptive quantitative and qualitative analysis to reveal each aspect of the assessment: The ability to solve problems, data interpretation results serve to perfect the successful business incubator model's completeness in Indonesia.
KW - Business Incubator
KW - Business Incubator Model
KW - Business Incubator Roadmap
KW - Dynamics System
UR - http://www.scopus.com/inward/record.url?scp=85114257255&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85114257255
SN - 9781792361241
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 4211
EP - 4219
BT - Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PB - IEOM Society
T2 - 11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
Y2 - 7 March 2021 through 11 March 2021
ER -
