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The purpose of the paper is to examine the coevolutionary dynamics between multistage overseas mergers and acquisitions (M&A) integration and knowledge network reconfiguration and the impact of this coevolution on industrial technology innovation.

This paper builds a coevolution analysis framework in stages and constructs structural equation models for empirical tests using the Chinese technology-sourcing overseas M&A events that occurred from 2001 to 2012.

Overseas M&A integration and knowledge network reconfiguration are in a coevolutionary relationship, driving industrial technology innovation. The acquirer adopts initial integration degree that matches the resource relatedness between the acquiring and acquired parties, promoting initial industrial technology innovation through initial knowledge network reconfiguration. Initial knowledge network reconfiguration will feed back to the M&A integration decision in the mid-to-late stage through increasing knowledge similarity and narrowing network position difference. The higher the improvement of mid-to-late integration degree, the more it can drive mid-to-late industrial technology innovation through mid-to-late knowledge network reconfiguration.

Future research can accurately classify overseas M&A integration stages through case tracking and explore other network attributes.

Practical guidelines are provided for managers on how to implement a multistage overseas M&A integration strategy, optimize knowledge network reconfiguration and promote industrial technology innovation. Significant practical implications are presented, especially in academia, society and quality of life.

Different from the previous research considering M&A integration as a single-stage decision, this paper emphasizes the dynamics of the M&A integration process and explores the coevolution mechanism of multistage overseas M&A integration and knowledge network reconfiguration.

Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI.

A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms.

This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time.

This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.

This paper aims to investigate whether executive compensation and internal control can prevent overseas compliance risks through the mediating influence of multinational corporation (MNC) legitimacy and the moderating role of institutional distance.

Based on a law and economics perspective and the “bad apple,” the “red barrel” and the “bad cellar” theory of business misconduct, this paper constructs a systematic framework of “compliance motivation MNC legitimacy overseas compliance risk prevention” from the individual, organizational and systematic levels and uses data of Chinese MNCs for empirical analysis.

Empirical data from Chinese MNCs show that overseas compliance risks are comprehensively affected by the factors of the individual, organizational and systematic levels. Higher executive compensation and internal control will reduce MNCs’ overseas compliance risks through MNC legitimacy acquisition; institutional distance hinders the positive effect of internal control on MNC legitimacy and therefore aggravates overseas compliance risks.

This paper contributes to the understanding of the overseas law-abiding and offence behavior of MNCs from a law and economics perspective and offers valuable insights on how to prevent the ever-increasing overseas compliance risks.

Although the literature has analyzed the factors of compliance behavior, they are not interrelated, let alone integrated in a systematic risk prevention framework. This paper applies a law and economic analysis framework to the study of the overseas compliance risks for the first time.

Post-merger integration (PMI) is driven by coevolving processes. This paper examines the coevolution of dynamic integration strategy and network reconstruction and explores how these processes systematically enable emerging market acquirers to upgrade innovation capabilities.

This paper conducts a multi-case study based on four Chinese overseas acquisitions of manufacturing firms. The data were collected from interviews and archival documentation.

This study develops a coevolutionary framework of dynamic integration strategy and network reconstruction to explain processes and mechanisms of an acquirer’s innovation capability upgrading. This framework identifies three network motivations, namely, network access, network connection and network synergy. Under different network motivations, dynamic transitions of the acquirer’s integration strategy coevolve with multi-level reconstruction of its networks. Collectively, they are important mechanisms driving innovation capability moves from imitation innovation to asportation and reimitation innovation and then to independent innovation.

This paper responds to a recent call for more insights into the dynamics of PMI and contributes to the research on emerging market multinational corporations’ post-acquisition integration. By integrating the M&A and networks literature, the paper provides evidence of unexplored mechanism of network changes during PMI. It reveals that how acquirers manage the dynamics of PMI to gradually achieve multi-level reconstruction of their networks. Based on a coevolutionary framework, the paper provides a process perspective on how the coevolution of PMI and network reconstruction promotes the upgrading of innovation capabilities.

The purpose of this paper is to show that the droplet impact phenomenon is important for the advancement of industrial technologies in many fields such as spray cooling and ink jet printing. Droplet bouncing on the nonwetting surfaces is a special phenomenon in the impact process which has attracted lots of attention.

In this work, the authors fabricated two kinds of representative nonwetting surfaces including superhydrophobic surfaces (SHS) and a slippery liquid-infused porous surface (SLIPS) with advanced UV laser processing.

The droplet bouncing behavior on the two kinds of nonwetting surfaces were compared in the experiments. The results indicate that the increasing Weber number enlarges the maximum droplet spreading diameter and raises the droplet bounce height but has no effect on contact time.

In addition, the authors find that the topological SHS and SLIPS with the laser-processed microwedge groove array produce asymmetric droplet bouncing with opposite offset direction. Microdroplets can be continuously transported without any additional driving force on such a topological SLIPS. The promising method for manipulating droplets has potential applications for the droplet-based microfluidic platforms.

Compared to quad-rotor unmanned aerial vehicle (UAV), the tilting dual-rotor UAV is more prone to instability during exercises and disturbances. The purpose of this paper is using an active balance tail to enhance the hovering stability and motion smoothness of tilting dual-rotor UAV.

A balance tail is proposed and integrated into the tilting dual-rotor UAV to enhance hovering stability and motion smoothness. By strategically moving, the balance tail generates additional force and moment, which can promote the rapid stability of the UAV. Subsequently, the control strategy of the UAV is designed, and the influence of the swing of the balance tail at different installation positions with different masses on the dual-rotor UAV is analyzed through simulation. The accompany motion law and the active control, which is based on cascade Proportion Integration Differentiation (PID) control to enhance the hovering stability and motion smoothness of the UAV, are proposed.

The results demonstrate that active control has obvious adjustment effectiveness when the UAV moves to the target position or makes an emergency stop compared with the results of balance tail no swing and accompany motion.

The balance tail offers a straightforward means to enhance the motion smoothness of tilting dual-rotor UAV, rendering it safer and more reliable for practical applications.

The novelty of this works comes from the application of an active balance tail to improve the stability and motion smoothness of dual-rotor UAV.