Academic research on educational stimuli of risk-taking and creativity to foster innovation can contribute to overcome the challenges faced by organizations in the marketplace. To explore the contributions provided in this field, this study developed a bibliometric and systematic review on academic production in the domain of creativity, risk-taking and innovation through an educa- tional perspective. The bibliographical databases adopted were Web of Science and Scopus and outcomes were analysed using the Bibliometrix tool in R software. Research findings point to three main clusters of academic production: (i) Tools and techniques to boost creativity; (ii) Educational interventions towards innovativeness; and (iii) Antecedents of entrepreneurial ac- tivity. This study pictures entrepreneurial education as a field that is still in its infancy and, thus, provide opportunities for research...

This study assesses the value capture of a result-oriented Product-Service System offer that constitutes a postharvest solution. Applying the reinforcement learning reward system and general linear models, we identified the Brazilian farmer’s propensities to choose different products and services from the proposed system. Reinforcement learning enables one to understand the choice process by rewarding the attributes selected and applying penalties to those not chosen. Regarding product options, farmers’ most valued attributes were extended capacity, fixed installation, automatic dryer, and CO2 emission control, considering the investigated system. Regarding service options, the farmers opted for maintenance plans, performance reports, no photovoltaic energy, and purchase over the rental modality. These results assist managers through a reward learning system that constantly updates t...

The constant increases in electricity tax costs and the mandatory contracting of power demand in advance by companies connected to the high-voltage electrical system drive organizations to improve energy planning in their production processes. In addition, market uncertainties make only stochastic methods insufficient for forecasting future production demand. To fill this gap, this study proposes a model that integrates the cost with electricity consumption and power demand into the aggregate production planning, considering the market uncertainties. The model was empirically applied in the food industry, considering a family of potato chips products. From the collected data, a demand forecast was carried out for a later realization of the aggregate planning, using the Holt–Winters forecast model. Before modeling, the new energy demand was calculated, and finally, the model solution ve...