The objective of this work is to evaluate the effects of adopting technological innovation, non-technological innovation, and their complementarity on price competitiveness. This work employs a recursive bivariate probit model applied to microdata from 1897 firms in three Sub-Saharan countries:...

Despite the recognized importance of agricultural extension approaches and farmers' innovation in addressing challenges within the agrifood sector, the existing literature on how these extension approaches influence farmers' innovativeness remains fragmented. This fragmentation provides limited...

While big data analytics capabilities (BDAC) have been pivotal to retail companies, their effects on innovation capabilities and sustainable performance have not been investigated systematically thus far. Therefore, this study explores the influence of BDAC on the innovation capabilities and...

Artificial intelligence (AI) and machine learning (ML) are reshaping financial auditing by enabling greater efficiency, precision, and risk detection. Leveraging the U.S. Securities and Exchange Commission (SEC) Financial Statement Data Sets for the fiscal year 2024, a dual-model framework...

In an environment characterised by high competitiveness, companies must constantly innovate and focus on products and processes continuous improvement. Portugal's business environment is predominantly made up of SMEs, which, given their characteristics, are more limited in terms of resources and...

Understanding how technological and non-technological innovations interact remains a critical, yet underexplored challenge in innovation management. Some scholars argue that technological advances trigger organizational change, while others claim the reverse. To address this tension, we...