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This study aims to examine the mediating role of innovation capability in the relationship between digital transformation strategy and innovation performance of microfinance institutions in Ethiopia.

Survey data were collected from 12 microfinance institutions in Ethiopia through self-administered questionnaires. Statistical analysis was conducted using structural equation modeling with AMOS and SPSS. Covariance-based structural equation modeling was used to test the study hypotheses.

Digital transformation strategy indicators such as (digitization vision, information technology integration, information technology agility and flexibility of information technology) directly affect innovation performance. The innovation capability mediates the relationship between digital transformation strategy indicator (information technology agility) and innovation performance. However, innovation capability does not have mediation effect in the relationship between digital transformation strategy remaining indicators (digitization vision, information technology flexibility and information technology integration) and innovation performance.

The study affirmed the importance of dynamic capability theory and presents noteworthy conclusions applicable to managers, stakeholders, and policymakers. It illuminates how innovation capability serves as a crucial link between digital transformation strategies and innovation performance within microfinance institutions in Ethiopia. This research enhances the current understanding of innovation capability, digital transformation strategy and innovation performance in the literature.

The purpose of this paper is to design and manufacture an intelligent 3D printed sensor to monitor the re-occurrence of diaphragmatic hernia (DH; after surgery) in bovines as an Internet of Things (IOT)-based solution.

The approach used in this study is based on a bibliographic analysis for the re-occurrence of DH in the bovine after surgery. Using SolidWorks and ANSYS, the computer-aided design model of the implant was 3D printed based on literature and discussions on surgical techniques with a veterinarian. To ensure the error-proof design, load test and strain–stress rate analyses with boundary distortion have been carried out for the implant sub-assembly.

An innovative IOT-based additive manufacturing solution has been presented for the construction of a mesh-type sensor (for the health monitoring of bovine after surgery).

An innovative mesh-type sensor has been fabricated by integration of metal and polymer 3D printing (comprising 17–4 precipitate hardened stainless steel and polyvinylidene fluoride-hydroxyapatite-chitosan) without sacrificing strength and specific absorption ratio value.