Classification of R&D infrastructure models in basic business incubators technology in the state of Paraná

Abstract

Support for the development of new technology-based business is a major challenge in Brazil. One reason is the change of the paradigm of an economy based on supply of commodities to an economy of developing and offering technology. In this environment, business incubators are presented as a key player in this process. However, incubators lack of infrastructure available for the technological development of products, as entrepreneurs begin to demand something beyond basic infrastructure. This article aims to classify research and development infrastructure models, based on the degree of importance earned by entrepreneurs belonging to incubators of technology-based companies in the state of Parana. An extensive literature review identified seven research infrastructure development models and discrete manufacturing products. These models were then classified by their features and practices. Following, a hierarchy was built, using the Analytic Hierarchy Process (AHP). Based on this hierarchy, an electronic questionnaire was designed and it was applied to 115 entrepreneurs belonging to 15 incubators of technology-based company, all located in the state of Parana. The responses were used for the construction of the weights of criteria based on the characteristics and analyzed practices. Finally, seven models were classified according to the AHP, providing incubator managers with the best options of laboratory models, according to the characteristics and needs.

Primary criteria used by business incubators for the selection of new enterprises: analysis of selection notices

“…Focusing on business incubators, they can be defined as organizations that promote the development of enterprising companies, supporting their survival and evolution during the most critical initial phase, when companies are more vulnerable. By orientation, consultation, and other activities, they create an environment that allows the maturation of the enterprises (Engelman et Fracasso, 2013;Lima et al, 2014;Shepard, 2013;Zattar et al, 2017). For Anholon et Silva (2015), in agreement with the previous point of view, business incubators provide assistance to supply deficiencies and minimize risks associated with the entry of enterprises in a highly competitive market.…”

“…According to the last census carried out by Anprotec, Brazil has 384 business incubators (Anprotec, 2012; Gomes et Marcondes, 2016; Vanderstraeten et al, 2016). This universe includes incubators considered benchmarks as well as incubators with serious difficulties to survive, and the latter are not capable of following the main objectives (Anholon et Silva, 2015;Engelman et Fracasso, 2013;Lima et al, 2014;Shepard, 2013;Zattar et al, 2017) previously presented. However, this universe presents interesting data, with 2,640 incubated enterprises that generate an income of R$ 5 billion and employ 45,599 people, what confirms the relevance of business incubators within the Brazilian economic sector.…”

A Comprehensive Study of Weighted Product Model for Selecting the Best Product in Our Daily Life

“…in different field of applications e.g. project analysis (Saisse and Lima, 2019), business and financial sector (Nery, 2017;Salomon and Whitaker, 2007), educational sectors (Donizetti de Lima et al, 2017;Endler et al, 2017), global suppliers network development and logistics (Grillo et al, 2018;Resende de Carvalho et al, 2017), water management (Costa and Amato Neto, 2017), supply chain management (Reis et al, 2017) etc. for strategic decision making (Moraes Vieira et al, 2017).…”