Northeastern University London Repository
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    1286 research outputs found

    Technology and regulation : which is the tail and which is the dog?

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    Knowledge Sharing in the Supply Chain Networks: A Perspective of Supply Chain Complexity Drivers

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    Knowledge transfer has been an important aspect in supply chain systems; however, there are many factors that affect the impact of transfer effectiveness. In previous studies, less attention has been given to the process of knowledge transfer and therefore, this paper highlights the significance of the process of knowledge transfer in supply chain processes. Enhanced supply chain networks have better performance when knowledge sharing is present, and it is important to identify and eliminate any supply chain complexity to improve the supply chain processes. Methods: A systematic review on the literature has been conducted to critically identify and evaluate the factors of supply chain complexity which impact knowledge transfer. Findings: The findings highlight the key benefits of effective knowledge transfer in supply chain systems by identifying risks associated with supply chain networks. Conclusion: The balanced power of facilitating knowledge transfer in supply chain processes helps in supply chain partnerships and reduces the supply chain complexity. This paper has both theoretical and practical contributions as it adds to the literature by identifying the factors of supply chain complexity drivers which are impacting the knowledge transfer

    Comparing the EU's and China's approaches in data governance

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    Augmenting a colour lexicon

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    Connecting hodge and sakaguchi-kuramoto through a mathematical framework for coupled oscillators on simplicial complexes

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    Phase synchronizations in models of coupled oscillators such as the Kuramoto model have been widely studied with pairwise couplings on arbitrary topologies, showing many unexpected dynamical behaviors. Here, based on a recent formulation the Kuramoto model on weighted simplicial complexes with phases supported on simplices of any order k, we introduce linear and non-linear frustration terms independent of the orientation of the k + 1 simplices, as a natural generalization of the Sakaguchi-Kuramoto model to simplicial complexes. With increasingly complex simplicial complexes, we study the the dynamics of the edge simplicial Sakaguchi-Kuramoto model with nonlinear frustration to highlight the complexity of emerging dynamical behaviors. We discover various dynamical phenomena, such as the partial loss of synchronization in subspaces aligned with the Hodge subspaces and the emergence of simplicial phase re-locking in regimes of high frustration

    Method to the madness: Reading Foucault between geometry and brackets

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    More than just engaging? TikTok as an effective learning tool

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    With the growing popularity of social media, educators have been adopting social media platforms, such as TikTok, for learning purposes. Whilst the effectiveness of TikTok to increase learner engagement has been demonstrated, there was little evidence indicating the effectiveness of TikTok on actual learner performance through formal graded assessments. This study is one of the first attempts to investigate the effects of TikTok as a learning tool on learner performance. The findings from a controlled experiment indicate that TikTok had a beneficial impact on the learner's performance as well as self-perceived engagement in an introductory statistics course

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