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The COVID-19 pandemic disrupted existing business models, forcing managers in the manufacturing industry to look for new strategies that could help their firms bounce forward. The situation calls for a rethink, redesign, and development of new business models (BMs) using digital capabilities. Drawing from the dynamic capability theory, this paper investigates how digital transformation (DT) influences business model innovation (BMI) through technology orientation (TO). The paper further examined the moderating role of competitive intensity (CI) in the DT-TO link.

The model was tested using survey data from 208 senior managers in manufacturing firms in Ghana. SPSS 23 and structural equation modeling (SEM) were used for the analyses.

The results revealed that both DT and technology orientation directly influence all four dimensions of BMI. The result further showed that technology orientation indirectly mediates the relationship between DT and all four dimensions of BMI. The findings further showed that the DT-BMI link is amplified at varying levels of competitive intensity.

Although recent research has highlighted the pertinence of embracing DT to foster innovation, to the best of the authors’ knowledge, this study among the first few attempts to shed light on the role of DT for sensing, seizing, and (re) configuring firms’ resources to renovate manufacturing business models to stay competitive. In addition, to date, to the best of the authors’ knowledge, no study exists that has examined the conditions and mechanism through which optimal BMI can be achieved through DT. The paper offer practical guidance to managers of manufacturing firms by developing an actionable framework to effectively leverage digital transformation for business model innovation through enhanced technology orientation, offering clear guidelines for assessing and aligning organizational capabilities with digital strategies.

This paper aims to investigate the role of institutional quality in the relationship between mobile money and financial inclusion among Sub-Saharan Africa (SSA) from 2002 to 2022.

The paper uses annual data from SSA on a bundle of four financial inclusion variables, six institutional quality indicators (i.e. rule of law, government effectiveness, control of corruption, voice and accountability, regulatory quality and political stability) and total volume of mobile money transaction in a year. The two-stage least squares regression was used to validate the hypotheses. Also, the random effects model was also used to account for potential unobserved heterogeneity across countries in SSA.

The empirical results reveal that institutional quality and mobile money have direct impact on financial inclusion. Also, institutional quality plays a positive and significant contingency role in the relationship between mobile money and financial inclusion.

The study contributes to financial inclusion theory by providing multi-country empirical evidence to validate the theory in explaining mobile money’s role in expanding financial access. It also highlights the key insight from financial inclusion theory regarding the need for strong governance institutions for technology-enabled inclusion. By examining interactions between mobile money, institutions and financial inclusion across 15 African SSA economies, the study allows for more generalizable conclusions about contextual dependencies.