Unpacking the dynamics: The influence of M&A networks on e-innovation in African Listed Firms
Suleman Bawa et al.
What the paper says
Purpose: This study examines the impact of mergers and acquisitions (M&A) networks on e-innovation networks within African-listed firms. It provides empirical evidence of how M&A influences e-innovation, emphasising the roles of resource acquisition and market dynamics in promoting innovation, technological advancement, and economic growth. Design/methodology/approach: Employing a quantitative research design, this study analyses the relationship between M&A and e-innovation networks among African-listed firms. Through purposive sampling, it evaluates 238 firms involved in M&A transactions from 2010 to 2023. Multiple regression models are used to test hypotheses regarding the structural characteristics of M&A networks and their impact on e-innovation, with robustness tests conducted to ensure reliability. This approach offers insights into how resource acquisition and market volatility influence e-innovation within the African corporate context. Findings/results: The study reveals that M&A networks significantly impact e-innovation networks in African firms, with resource acquisition enhancing e-innovation capabilities. Additionally, market volatility further strengthens this relationship. These findings suggest that leveraging M&A networks is vital for fostering innovation across various firm types, and targeted governmental support could enhance these effects. Practical implications: The results indicate that M&A networks can substantially boost e-innovation in African firms. Businesses are encouraged to pursue strategic mergers to access new technologies and drive economic growth, while policymakers should support M&A activities that align with innovation and economic development goals. Originality/value: This article explores the role of M&A networks in influencing e-innovation within African-listed firms, filling a significant gap in the existing literature and offering valuable insights for corporate strategists and policymakers.
3 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.32 × 0.4 = 0.13 |
| M · momentum | 0.57 × 0.15 = 0.09 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.