incentives for businesses, proximity to large markets, inadequate enterprise promotion and support policies, bureaucracy, high business set-up costs, and lack of support soft factors are industrial traditions, diversified access to a qualified workforce, low level social confidence, and the fact that scientific and research institutions usually prefer teaching to research and development activities. Hard exogenous factors include a developed technical infrastructure, proximity lo absorptive domestic and foreign markets, special economic zones, the existence of big enterprises (vendors, customers), attractive real estate prices, poor transport infrastructure, the unclear legal status of real estate and land a lack of spatial development plans, and bureaucracy. While soft factors involve the active engagement of local governments to attract foreign capital, culture, and industrial traditions, a lack of cooperation between enterprises, scientific and research and development institutions, and distrust of external investors, particularly in regard to foreign capital.
Stachowicz (2008) describes the integration levels of following factors or driving forces to establish the formation process of entrepreneurial regions and clusters organisational factors include the character and level of political authority, relations with the national centre (sell government level), forms and the range of financial support for research and development units, organisational participation and mechanisms for capital and technology transfer located outside the region, organisation of the research and development sector in the region, and condition of entities for innovation support (technology parks, entrepreneurship incubators technology incubators, etc.), system of education on, as well as social factors and the potential for social capital in enterprises and organisations Cognitive factors e the quantity and quality of knowledge cumulated in units including research and development entities, the structure of knowledge development, and level of knowledge transfer channels, and institutions, Lilla Knop, Marek Krannich, and Slawomir Olko (2011) identity the factors affecting success at each development stage of industrial cluster divided into six aspects: awareness, (2) goal of industrial cluster development, 13) innovation, (4 knowledge, (5) structure and (6) trust, which are this research for the investigation of factors that affect success in each stage of industrial duster development
This study compiles data and information from 23 targeted industry clusters, mostly purposively selected for development supported by the DIP in the fiscal year 2012. These targeted dusters are classified using the Thailand Standard Industrial Classification (SIC version 2001) into the following industrial sectors agricultural, food, garments, parawood and rubber products, services, fabricated metal products, machinery and equipment. and and decorative items. g data and information is via face-to-face interviews with those who play a significant role in the development of each industrial cluster, These include the duster leaders, duster development agents (CDAs), members of the cluster committee, and advisers total 115 persons. These representative members account for 25% of all duster members. Field observations in the located areas of the targeted industrial clusters are also used for compiling accurate data and information. Descriptive statistics are major analytical tools for fulfilling the study's objectives