NEUROMANAGEMENT AS A STRATEGIC SKILL FOR INTELLIGENT DECISION-MAKING IN MANAGERS OF SMES IN THE TEXTILE INDUSTRY

Abstract

The main objective of this research is to develop a neuromanagement model as a strategic skill for intelligent decision-making in managers of SMEs in the textile sector. Theoretically, the neuromanagement variable is based on the doctrines of authors such as Braidot (2016) and De la Torre (2014), among others; while, for intelligent decision-making, reference is made to authors such as Hammond, Keeney, and Raiffa (2007), Benavides (2018), and Franklin and Krieger (2011). Methodologically, it is a projective research with a non-experimental, cross-sectional and field design. The study population included 96 SMEs in the textile sector located in the town of Chapinero, Bogotá, Colombia. For data collection, a questionnaire composed of 60 questions with a Likert-type scale was used, which was validated by five experts, and whose reliability was measured by Cronbach's Alpha coefficient, obtaining a value of 0.84. The results showed that, in relation to the neuromanagement variable, there are highly significant differences between the dimensions compared. The managers of these SMEs demonstrate a multineurosensory profile in various contexts, apply neuromanagement principles for learning and assess neural functioning in different situations. This has allowed them to create successful businesses, optimize customer service, improve organizational management, and foster better understanding within their teams. In terms of smart decision-making, although managers tend to make informed decisions, when faced with changing situations or critical scenarios, these do not always provide clarity in evolving environments. It is also concluded that risk tolerance is not a significant factor in this process.