Business Intelligence and the export competitiveness of lambayecan SMEs in the north of Peru

Background International expansion has been identified as a pivotal strategy for SMEs seeking to achieve internationalisation and growth within the global market. However, as evidenced by extant literature, SMEs encounter numerous obstacles that impede their ability to access foreign markets, including a dearth of resources and experience, fierce competition from large and sustainable global companies. Therefore, the study seeks to identify the Business Intelligence factors that affect the export competitiveness of SMEs in a region of northern Peru. Methods The research had a quantitative, non-experimental and explanatory approach; being basic research focusing on the generation of theoretical knowledge about the factors that affect competitiveness through business intelligence strategies, for which 51 SMEs, economic units that currently maintain trade relations with international markets, were studied and the Logit model was used to identify those factors. Results The findings indicate that the binary logistic regression model demonstrates the significance of the market research and business management dimensions. The assertiveness matrix demonstrates a higher capacity to predict the 'No' response (76.5%) in comparison to the 'Yes' response (23.5%). It is noteworthy that the relative probability of enhancing competitiveness is estimated at 0.98 times when market identification, target market segment analysis and market research development are requested, as opposed to 0.95 times when external advice or assistance is obtained to formulate an alternative value proposition for the exportable product. Conclusions The market research and business management dimensions of Business Intelligence have a significant impact on the export competitiveness of SMEs in northern Peru, with market research being the factor with the greatest influence on the export competitiveness of SMEs. This finding highlights the importance of collecting and analysing accurate information on international markets in order to identify opportunities, reduce uncertainties and adapt products to the demands of global customers.