Modelo de gestão para pequenas agroindústrias de laticínios do estado da Bahia

Abstract

In Brazil, dairy farming plays an important role in agribusiness and the State of Bahia is the largest consumer market for dairy products in the Northeast region of the country. However, the Milk Agroindustrial System (SAG-Leite) has low production and competitiveness, considering all the actors involved in this market. This low competitiveness is reflected in the quality of products and in the quantity produced, caused by the limited adoption of technological innovations and the inexistent work of disseminating knowledge among the actors in the production chain, especially among small agro-industries. Thus, in this scenario, there is a need to implement mechanisms to support the competitiveness of the milk production chain. For this, the present work aims to present a Management Model for Small Dairy Agroindustries, from the mapping of relationships and the level of knowledge of the actors involved in the milk chain, as well as the realities and specific problems experienced by these actors, who make up the SAG-Leite in Bahia. The proposal presented in this Thesis is based on the concepts of accumulation and diffusion of knowledge and the InCaS Model (Intellectual Capital Statement – Made in Europe). Methodologically, a review of the state of the art was prepared, based on the collection of data and information from literature reviews, interviews with support agencies for the activity, visits to companies and rural producers and application of a questionnaire using the InCaS Model. to assess the maturity of the actors involved. With this, it was possible to build a Management model for the Small Dairy Agro-Industry that involves: i) actors; ii) information and knowledge; iii) methods, tools and technology; iv) indicators and results; and v) processes. The work reaffirmed the concepts and made it possible to propose a management model that could contribute to the competitiveness of the Agroindustrial Milk System in Bahia, based on the maturity of Intellectual Capital.