Title:
PROMOTING MICRO ENTREPRENEURS WITH FOSTERING NETWORKS, LEVERAGE THE STRENGTHS OF THE MICRO SME ENTREPRENEUR AND TRUST IN GOVERNMENT TO SUPPORT THE BENEFITS COMMUNITY IN THE INCLUSIVE BUSINESS PROJECT

Authors:
Pavinee Na Srito, Sobchoke Na Srito, Rapeepun Piriyakul, Napaporn Khantanapha, Thailand

Abstract:

Problems of hawkers and stall, including slum communities in the Bangkok area, affect the environment and the standard of living. The purpose of the research was to 1) study the level of administrative factors, namely to support the network Taking advantage of the strength of micro-entrepreneurs and trust in government policy implementation. Through the interstitial factor is Commitment to implementing government policy Entrepreneurial potential and the resulting factor is Financial value and social value 2) Study the influence of administrative factors in the Pracharat project under the supervision of Bangkok Metropolitan Administration. The inclusive business, namely “Pracharrat” to enhance the Micro SME’s performance, the project implementation is the collaborative of the government, society, and the entrepreneurs in each community. The study conducts on the questionnaire of 200 micro entrepreneurs random entrepreneurs to investigate the level of significance on three antecedent management factors: network support, leveraging the integration of micro-entrepreneurs, and trust in public policy deployment to drive the entrepreneurs’ benefits receive on the financial and social value. The results of the study using a structural equation model using the Covariance Based SEM analysis method. Fostering Network (FN) influences Entrepreneurial Capability (EC) and influences Engagement in the Government Policy Deployment (ED). Trust (TR) influences Engagement in the Government Policy Deployment (ED), Engagement in the Government Policy Deployment (ED), influence on Financial Value (FV) and Social Value (SC) influence. Supported by the Fostering Network (FN), the highest total influence on Social Value (SV) was 0.516 and the highest total influence on Financial Value (FV) was 0.504, followed by Ttrust (TR), overall influence on Social Value. (SV) was 0.427 and the total influence on Financial Value (FV) was 0.399. Engagement in the Government Policy Deployment (ED) positively influenced Social Value (SV) and Financial Value (FV) were 0.963 and 0.899, respectively.