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Uncovering the dynamics of market convergence through M&A

机译:通过并购发现市场融合的动力

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Despite the significance of converging markets as a new competitive paradigm to change how organizations function and produce value, little attention has been devoted to investigating the evolutionary path of market convergence and understanding the potential of its market development in the future. In this paper, the extent to which the biotechnology industry shows tendencies to converge with adjacent market segments is explored. By taking both a retrospective and forward-looking perspective, the study intends to shed light on the dynamics of the convergent evolution beyond the mere technological dimension. Based on the real-world examples of M&A transactions, an M&A interaction network was constructed to analyze the dynamics of market convergence and to visualize the causal relationships among market segments by using the DEMATEL approach. Furthermore, a link prediction algorithm was applied to predict future converging patterns. By simultaneously considering the past and imagining the future, the study offers a holistic, intuitive understanding of the interrelationships of the entire network. The findings show that the technology convergence has evolved into market convergence. The proposed framework can provide input for decision makers for effective R&D planning to anticipate developments and to coordinate the related activities.
机译:尽管将市场融合作为改变组织运作和产生价值的新竞争范式的重要性,但很少关注研究市场融合的演进路径并了解其未来市场发展的潜力。在本文中,探索了生物技术产业与相邻细分市场融合的趋势。通过回顾性和前瞻性的观点,该研究旨在阐明超越单纯的技术范围的融合演化的动力。基于并购交易的真实示例,构建了一个并购交互网络,以使用DEMATEL方法分析市场趋同的动态并可视化细分市场之间的因果关系。此外,将链接预测算法应用于预测未来的收敛模式。通过同时考虑过去和想象未来,该研究对整个网络的相互关系提供了全面,直观的理解。研究结果表明,技术融合已演变为市场融合。拟议的框架可以为决策者提供意见,以进行有效的研发计划,以预测发展并协调相关活动。

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