The Effect of Digital Analytics Capacity and Open Eco-Innovation on The Reduction And Waste Of Grain Losses

Objective: The study aims to analyze the effect of digital capacity and open process and management eco-innovation on the reduction and disposal of grain losses. Theoretical Framework: In this topic, digital analysis capacity and open eco-innovation are presented, providing a solid basis for understanding the context of the investigation. Method: The methodology adopted for this research comprises a quantitative approach, with grain companies in Brazil. Data was collected through a questionnaire, in which 175 responses were obtained and analyzed using structural equation modeling (PLS-SEM). Results/Discussion: The results obtained revealed that open-process eco-innovation helps in the prevention and disposal of grain losses. In contrast, open management eco-innovation helps in the disposal of grain losses. Furthermore, open process and management eco-innovation mediate the relationship between digital analysis capability and the allocation of grain losses. Research Implications: Practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in subject management and sustainability. Originality/Value: This study contributes to the literature on open process and management eco-innovation as an intermediary mechanism to explore the relationship between digital analysis capability and the prevention and allocation of grain losses. The relevance and value of this research are evidenced by showing managers strategies and ways to prevent grain losses that occur in the production, post-harvest, and processing phases.