Determining Partnership Models According to the Expectations of Culinary SMEs Entrepreneurs
- DOI
- 10.2991/icoi-19.2019.67How to use a DOI?
- Keywords
- Culinary SMEs, Government, Partnership
- Abstract
The object of this research is the culinary SMEs studied. The population of the culinary SMEs in the city of Bandung consists of the Bandung area, Bogor, Cirebon, Sukabumi, and Sumedang. The data used in this study are primary data and secondary data. The source of primary data derived from the results of observations and interviews using questionnaires and media Focus Group Discussion (FGD). Information on secondary data is needed to determine the profile of the culinary SMEs and its community. Secondary data surveys were conducted on creative industries and / or creative communities, as well as Local Government Work Units (SKPD) in Bandung City, namely the UMKM, Cooperative & Trade Service, Bappeda. Primary data was obtained through indept interviews to SKPD representatives in the city of Bandung, Bogor, Cirebon, Sukabumi, and Sumedang. The purpose of this study is to determine the partnership model that is in line with the expectations of culinary SMEs entrepreneurs. The results of this study indicate that subcontracting patterns are considered suitable to be applied in culinary SMEs in Bandung, Bogor, Cirebon, Sukabumi, and Sumedang because they can reduce the potential losses experienced by relatively small culinary SMEs entrepreneurs.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wa Ode Zusnita Muizu AU - Umi Kaltum PY - 2019/10 DA - 2019/10 TI - Determining Partnership Models According to the Expectations of Culinary SMEs Entrepreneurs BT - Proceedings of the 2019 International Conference on Organizational Innovation (ICOI 2019) PB - Atlantis Press SP - 394 EP - 398 SN - 2352-5428 UR - https://doi.org/10.2991/icoi-19.2019.67 DO - 10.2991/icoi-19.2019.67 ID - Muizu2019/10 ER -