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This paper aims to explore the relationships between organizational unlearning and knowledge transfer in cross-border mergers and acquisitions (M&As) from a routine-based view. The study also stresses the mediating role that knowledge integration capability plays in this relationship.

In all, 178 samples were collected from Chinese multinational corporations that experienced cross-border M&As. In addition, the bootstrap method was used to test the mediating role of knowledge integration capability.

The empirical results indicate that knowledge integration capability is the crucial link between organizational unlearning and knowledge transfer. Specifically, this capability goes beyond the direct effect of organizational unlearning on knowledge transfer and points to the importance of enhancing knowledge integration capability. In turn, knowledge integration capability has a significant influence on knowledge transfer. The study finds that knowledge integration capability mediates the relationship between organizational unlearning and knowledge transfer.

This study adopts a routine-based view to develop a theoretical model for examining the relationship between organizational unlearning, knowledge integration capability and knowledge transfer in the context of cross-border M&As. This model provides new insights for a routine-based understanding of the important mediating role of knowledge integration capability for knowledge transfer and the effects of this role on the specific knowledge transfer, i.e. technological, marketing and managerial knowledge.

This paper aims to adopt the knowledge-based view and social network theory to investigate the relationship between network capability ambidexterity and knowledge creation (KC) in the context of open innovation. It also examines the moderating effects of innovation climate on this relationship.

This paper developed a model including network capability ambidexterity, innovation climate and KC. A total of 463 samples were collected from China to test the model and hypotheses by SEM.

The empirical results indicate that network capability ambidexterity is the crucial antecedent of KC. Specifically, network capability ambidexterity consists of the balanced and combined dimensions that both have significant and positive effects on KC. More importantly, the balanced dimension has a stronger effect on KC than the combined. In addition, an innovation climate positively moderates the effects of network capability ambidexterity and KC.

This study advances a new understanding of how network capability ambidexterity influences KC. Moreover, investigating the relationships should provide fresh insights into network capabilities and KC for practitioners in the open innovation context.

The purpose of this study is to adopt the perspective of congruence to explore how organizational unlearning facilitates knowledge transfer in cross-border mergers and acquisitions (M&A).

Drawing on the congruence theory, this study built a theoretical model and examined it with survey data from 212 firms in China.

Organizational unlearning has no direct influence on knowledge transfer. In contrast, it promotes knowledge and routine compatibility that facilitate knowledge transfer. Routine and knowledge compatibility have different mechanisms on knowledge transfer. Specifically, the higher routine compatibility, the more effective is knowledge transfer. When knowledge compatibility is at a medium level, the effectiveness of knowledge transfer is optimal.

Firms should regard organizational unlearning as a crucial facilitator to knowledge and routine compatibility that promote knowledge transfer.

This study provides a specific understanding of the relationships between organizational unlearning and knowledge transfer by focusing on knowledge and routine compatibility as the crucial links, and enriches existing literature regarding knowledge transfer.

The study adopts congruence theory to explore the structure of inter-organizational compatibility and its structural effects on knowledge transfer in cross-border merger and acquisitions (M&As).

This paper built a moderated-mediation model that presented the relationship between inter-organizational compatibility and knowledge transfer. Regression analysis was conducted with 182 samples from China to examine the model and hypotheses.

The results indicate that inter-organizational compatibility is a four-dimensional construct comprising culture, strategy, routine and knowledge. Additionally, inter-organizational compatibility has structural effects on knowledge transfer. Specifically, routine compatibility mediates the relationships between cultural compatibility and knowledge transfer and between strategic compatibility and knowledge transfer. Moreover, the mediating roles are moderated by knowledge compatibility.

This study updates the construct and provides a comprehensive and fresh understanding of inter-organizational compatibility. Additionally, it presents the structural effects of inter-organizational compatibility on knowledge transfer.

The purpose of this paper is to explore the relationship between unlearning and strategic flexibility from the down-up change perspective.

Drawing on the routine-updating process, this study builds a theoretical model and examines it using survey data from 233 firms in China.

Unlearning is the enabler to strategic flexibility. Specifically, individual unlearning and organizational unlearning both have positive effects on strategic flexibility. Organizational unlearning exerts a partly mediating effect on the relationship between individual unlearning and strategic flexibility.

The paper examines the different mechanisms of individual and organizational unlearning on strategic flexibility and suggests that unlearning is a useful method or approach for strategic flexibility. In addition, this study is useful to help managers or practitioners determine how to embrace strategic flexibility by unlearning.

The purpose of this paper is to propose a model to explore the dynamic process of knowledge management from the perspectives of organizational unlearning and organizational relearning, which promote a favorable context for knowledge management.

The model is proposed based on extensive review of literatures. According to this model, the evolutions of organizational unlearning and organizational relearning are separately analyzed, and the interactions between them are revealed.

Organizational unlearning and organizational relearning are the indispensable factors to the dynamic knowledge management. Organizational unlearning positively affects the dynamic knowledge management by discarding the outdated and useless knowledge, while organizational relearning has a positive influence on the dynamic knowledge management by acquiring the new knowledge. Organizational unlearning and organizational relearning have synergies on the dynamic knowledge management.

This paper theoretically illuminates the relationships among organizational unlearning, organizational relearning and knowledge management, and doesn't offer an empirical test.

This paper will provide insights to practitioners to better understand the dynamic process of knowledge management. The practitioners need to provide favorable context to ensure that organizational unlearning and organizational relearning can occur.

Most existing studies focused on the inflows of knowledge, but the outflows of knowledge still lack sufficient attention, especially the dynamic process of knowledge management. The framework provides guides in that process.

The purpose of this paper is to examine and explore the factors that drive users to gift through social network services (SNS).

A questionnaire method was applied to collect data from the sample of the WeChat users who have used mini-program. This paper employed the partial least squares method and used SmartPLS2.0 to analysis sample data, which examined the validity as well as reliability of the sample and further tested the hypotheses by the path coefficients.

The empirical results showed that pleasure, social relationship maintenance, convenience and comprehensiveness are significantly related to SNS gifting behavior, and conscientiousness moderates the relationship between intention and behavior in the context of SNS gifting. However, this study cannot find the effect of symbolic representation, impersonality and gift reciprocity motivations.

Theoretically, this study perfects the research of SNS gifting on the lack of exploring characteristics of comprehensiveness. Practically, this paper lends insights on how SNS providers attract users to adopt gifting.

SNS gifting lacks a complete and effective promotion strategy, resulting in a small number of users as well as low profit. Besides, prior studies have focused on tradition gifting and online gifting. Little research talks about gifting on SNS phenomena, and thus it is necessary to perfect the theory of SNS gifting.

This paper aims to investigate the friction and wear properties of Cr-Ni-Mo-V steel against 440C stainless steel under both water and water–silica mixture lubricant.

The Cr-Ni-Mo-V steel specimens were taken from a forged steel brake disc with the process of quenching at 900°C and tempering at 600°C. The tribological testing was performed using a contact configuration of ball-on-flat with a liquid cell according to the ASTM standard. Detailed examinations on the worn surface were analyzed using a scanning electron microscope.

The results indicate that the friction coefficient and friction damage of the steel sliding under water–silica mixture are higher than those under water. The friction coefficient decreases with increasing load and increases with the sliding speed for the two lubricants. The mass wear rate presents a rising trend with both sliding load and speed. The wear mechanisms of the Cr-Ni-Mo-V steel sliding under the two lubricants are oxidation wear, abrasive wear and fatigue wear.

Because of the chosen tribological testing approach, the research results could not describe the tribological performance of the brake disc accurately during actual braking process of the high-speed train. Therefore, researchers are encouraged to test the proposed propositions further.

This study shows that the tribology behavior of the Cr-Ni-Mo-V steel with water or water–silica mixture lubrications helps the industrial firms and academicians to work on the wear of the brake disc in rainwater or wet environment.

An accurate detection of overhead ground wire under open surroundings with varying illumination is the premise of reliable line grasping with the off-line arm when the inspection robot cross obstacle automatically. This paper aims to propose an improved approach which is called adaptive homomorphic filter and supervised learning (AHSL) for overhead ground wire detection.

First, to decrease the influence of the varying illumination caused by the open work environment of the inspection robot, the adaptive homomorphic filter is introduced to compensation the changing illumination. Second, to represent ground wire more effectively and to extract more powerful and discriminative information for building a binary classifier, the global and local features fusion method followed by supervised learning method support vector machine is proposed.

Experiment results on two self-built testing data sets A and B which contain relative older ground wires and relative newer ground wire and on the field ground wires show that the use of the adaptive homomorphic filter and global and local feature fusion method can improve the detection accuracy of the ground wire effectively. The result of the proposed method lays a solid foundation for inspection robot grasping the ground wire by visual servo.

This method AHSL has achieved 80.8 per cent detection accuracy on data set A which contains relative older ground wires and 85.3 per cent detection accuracy on data set B which contains relative newer ground wires, and the field experiment shows that the robot can detect the ground wire accurately. The performance achieved by proposed method is the state of the art under open environment with varying illumination.

This study aims to provide a new method of multiscale directional Lyapunov exponents (MSDLE) calculated based on the state space reconstruction for the nonstationary time series, which can be applied to detect the small target covered by sea clutter.

Reconstructed state space is divided into non-overlapping submatrices whose columns are equal to a predetermined scale. The authors compute eigenvalues and eigenvectors of the covariance matrix of each submatrix and extract the principal components σ_ip and their corresponding eigenvectors. Then, the angles ψ_ip of eigenvectors between two successive submatrices were calculated. The curves of (σ_ip, ψ_ip) reflect the nonlinear dynamics both in kinetic and directional and form a spectrum with multiscale. The fluctuations of (σ_ip, ψ_ip), which are sensitive to the differences of backscatter between sea wave and target, are taken out as the features for the target detection.

The proposed method can reflect the local dynamics of sea clutter and the small target within sea clutter is easily detected. The test on the ice multiparameter imaging X-ban radar data and the comparison to K distribution based method illustrate the effectiveness of the proposed method.

The detection of a small target in sea clutter is a compelling issue, as the conventional statistical models cannot well describe the sea clutter on a larger timescale, and the methods based on statistics usually require the stationary sea clutter. It has been proven that sea clutter is nonlinear, nonstationary or cyclostationary and chaotic. The new method of MSDLE proposed in the paper can effectively and efficiently detect the small target covered by sea clutter, which can be also introduced and applied to military, aerospace and maritime fields.