When marketing and manufacturing departments integrate: The influences of market newness and competitive intensity

Although the effect of marketing-manufacturing integration on new product development (NPD) performance has been extensively studied, the question about how this integration is affected during the different stages of NPD remains unclear, especially when a firm faces a new market. In this study, we use resource dependence theory as the theoretical framework and collect survey-based data from manufacturing firms in China to investigate how market newness can affect marketing-manufacturing integration during the different stages of NPD. Our results indicate that market newness has a positive relationship with marketing-manufacturing integration during NPD's different stages, with this relationship being stronger in the early stages than in the subsequent ones. We also examine the effect of such integration during the early stages of NPD on the integration on subsequent stages of NPD. Moreover, we further investigate the moderating role of competitive intensity on the positive effect of market newness on marketing-manufacturing integration. Our findings suggest that a positive moderating effect is more prominent during the early and the final stages of NPD than during the intermediate ones. Our results provide a dynamic perspective on marketing-manufacturing integration and highlight the need for matching the appropriate level of integration with the different NPD stages

When marketing and manufacturing departments integrate: The influences of market newness and competitive intensity

Although the effect of marketing-manufacturing integration on new product development (NPD) performance has been extensively studied, the question about how this integration is affected during the different stages of NPD remains unclear, especially when a firm faces a new market. In this study, we use resource dependence theory as the theoretical framework and collect survey-based data from manufacturing firms in China to investigate how market newness can affect marketing-manufacturing integration during the different stages of NPD. Our results indicate that market newness has a positive relationship with marketing-manufacturing integration during NPD's different stages, with this relationship being stronger in the early stages than in the subsequent ones. We also examine the effect of such integration during the early stages of NPD on the integration on subsequent stages of NPD. Moreover, we further investigate the moderating role of competitive intensity on the positive effect of market newness on marketing-manufacturing integration. Our findings suggest that a positive moderating effect is more prominent during the early and the final stages of NPD than during the intermediate ones. Our results provide a dynamic perspective on marketing-manufacturing integration and highlight the need for matching the appropriate level of integration with the different NPD stages

Developing Compact Models for Passive Devices on IBM 45nm CMOS SOI Technology

The standard IBM 45 nm technology is widely adopted for industrial and academic purpose by integrates circuit designers. Original models provided by foundry are not accurate, which might cause inaccuracy in circuit simulations. Equivalent circuit models, using RLC elements to simulate electrical component, will effectively deliver their electrical performance. This study consists of four steps to construct these models. First, Cadence Virtuoso, the commercial circuit design software was used to run simulations and extract data for different device parameters. Second, analyzing tools, like Microsoft Excel or Matlab, are used to analyze the extracted data. Then, equations are written for each parameter. Finally, these models are implemented in the device descriptive language, Verilog-A and test circuits will be constructed to demonstrate the accuracy of the models. The accurate passive component models from this study will contribute to accelerating the circuit designing process and improving the accuracy of circuit simulations

TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs

Recently, graph neural networks (GNNs), as the backbone of graph-based machine learning, demonstrate great success in various domains (e.g., e-commerce). However, the performance of GNNs is usually unsatisfactory due to the highly sparse and irregular graph-based operations. To this end, we propose, TC-GNN, the first GPU Tensor Core Unit (TCU) based GNN acceleration framework. The core idea is to reconcile the "Sparse" GNN computation with "Dense" TCU. Specifically, we conduct an in-depth analysis of the sparse operations in mainstream GNN computing frameworks. We introduce a novel sparse graph translation technique to facilitate TCU processing of sparse GNN workload. We also implement an effective CUDA core and TCU collaboration design to fully utilize GPU resources. We fully integrate TC-GNN with the Pytorch framework for ease of programming. Rigorous experiments show an average of 1.70X speedup over the state-of-the-art Deep Graph Library framework across various GNN models and dataset settings

Enhanced Prediction of Three-dimensional Finite Iced Wing Separated Flow Near Stall

Icing on three-dimensional wings causes severe flow separation near stall. Standard improved delayed detached eddy simulation (IDDES) is unable to correctly predict the separating reattaching flow due to its inability to accurately resolve the Kelvin-Helmholtz instability. In this study, a shear layer adapted subgrid length scale is applied to enhance the IDDES prediction of the flow around a finite NACA (National Advisory Committee for Aeronautics) 0012 wing with leading edge horn ice. It is found that applying the new length scale contributes to a more accurate prediction of the separated shear layer (SSL). The reattachment occurs earlier as one moves towards either end of the wing due to the downwash effect of the wing tip vortex or the influence of end-wall flow. Consequently, the computed surface pressure distributions agree well with the experimental measurements. In contrast, standard IDDES severely elongates surface pressure plateaus. For instantaneous flow, the new length scale helps correctly resolve the rollup and subsequent pairing of vortical structures due to its small values in the initial SSL. The computed Strouhal numbers of vortical motions are approximately 0.2 in the initial SSL based on the vorticity thickness and 0.1 around the reattachment based on the separation bubble length. Both frequencies increase when moving towards the wing tip due to the downwash effect of the tip vortex. In comparison, the excessive eddy viscosity levels from the standard IDDES severely delay the rollup of spanwise structures and give rise to "overcoherent" structures