GUIDELINES FOR BUSINESS-TO-GOVERNMENT (B2G) MANAGEMENT SUCCESS PRINCIPLES FOR MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES)

Authors

  • Prinya Manee King Mongkut's University of Technology North Bangkok, Thailand 10800 https://orcid.org/0009-0004-5979-0462
  • Nopporn Bua-In Associate Professor Dr., King Mongkut's University of Technology North Bangkok, Thailand 10800 https://orcid.org/0000-0002-3491-0040
  • Thitirat Thawornsujaritkul Assistant Professor Dr, King Mongkut's University of Technology North Bangkok, Thailand 10800

Keywords:

MSME Management, Industrial Business Management, Private Sector and Government Sector, B2G Model

Abstract

The promotion and development of Thai micro, small, and medium enterprises (MSMEs) is essential for enhancing their competitiveness and aligning with the national strategy. This study aims to identify the key factors that contribute to the success of small and medium-sized enterprises (MSMEs) in their Business-to-Government (B2G) management. It will utilise a combination of qualitative and quantitative research methods to develop a structural equation model. The study surveyed 600 entrepreneurs involved in government business listed in the SME-Government Procurement (SME-GP) system. The analysis encompassed descriptive, inference, and multivariate statistics. The findings highlighted key factors for successful B2G management for MSMEs: 1) Organization Agility (  = 4.15), emphasizing flexibility and crisis recovery; 2) Financial Competency (  = 4.13), focusing on low-interest government funding; 3) Information Technology Integration (  = 4.09), emphasizing electronic document systems; and 4) Public Procurement Capability (  = 4.08), emphasizing access to procurement announcements. The hypothesis testing found significant differences in the success of micro-enterprises and small- and medium-sized enterprises in implementing B2G management guidelines. The structural equation model analysis showed a satisfactory fit with the empirical data, meeting evaluation criteria with a probability chi-square of 0.089, a relative chi-square of 1.152, a concordance index of 0.970, and a root mean square error of approximation of 0.016.

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Published

2023-11-23