基于场论的创新产品扩散扰动模型研究

 运用物理学中场的思想和Logistic基本原理构建了创新产品扩散扰动模型,并用该模型对中国移动通信产品扩散扰动进行了实证分析。结果表明,提高企业市场占有量的决定性因素不是自然扩散率,而是其外部竞争力,即扩散的外部扰动作用。     

知识扩散场的建立与实证分析

本文引入了物理学中势能、势差、能量转换的概念,建立知识扩散场。提出了一种用于描述吸收体在知识扩散过程中知识发展状态的经济模型,用它阐明知识扩散的条件、过程,及在扩散的不同阶段各个影响因素的作用机理。最后进行了实证检验。     

Dual-norm based dynamic graph diffusion network for temporal prediction

Precise prediction of Multivariate Time Series (MTS) has been playing a pivotal role in numerous kinds of applications. Existing works have made significant efforts to capture temporal tendency and periodical patterns, but they always ignore abrupt variations and heterogeneous/spatial associations of sensory data. In this paper, we develop a dual normalization (dual-norm) based dynamic graph diffusion network (DNGDN) to capture hidden intricate correlations of MTS data for temporal prediction. Specifically, we design time series decomposition and dual-norm mechanism to learn the latent dependencies and alleviate the adverse effect of abnormal MTS data. Furthermore, a dynamic graph diffusion network is adopted for adaptively exploring the spatial correlations among variables. Extensive experiments are performed on 3 real world experimental datasets with 8 representative baselines for temporal prediction. The performances of DNGDN outperforms all baselines with at least 4% lower MAPE over all datasets.     

Stock market response to information diffusion through internet sources: A literature review

This exploratory work reviews the research work undertaken to study the impact of the information content of the Internet, available through online news articles and various social media platforms, over the retail investors’ trading patterns and the stock market as a whole. The research articles considered have been published between 1992 and 2017, and classified on the basis of year of publication, countries in the sample, publication source and the focus area of the work. The literature survey highlights a number of research gaps that can provide directions for future research. The paper contributes to the existing literature by presenting the first systematic review, as the survey reveals that there is no such article that comprehensively reviews and consolidates the research work available in this area and thus this article seeks to fill this gap too.     

A Recursive tree-structured neural network with goal forgetting and information aggregation for solving math word problems

Most existing state-of-the-art neural network models for math word problems use the Goal-driven Tree-Structured decoder (GTS) to generate expression trees. However, we found that GTS does not provide good predictions for longer expressions, mainly because it does not capture the relationships among the goal vectors of each node in the expression tree and ignores the position order of the nodes before and after the operator. In this paper, we propose a novel Recursive tree-structured neural network with Goal Forgetting and information aggregation (RGFNet) to address these limits. The goal forgetting and information aggregation module is based on ordinary differential equations (ODEs) and we use it to build a sub-goal information feedback neural network (SGIFNet). Unlike GTS, which uses two-layer gated-feedforward networks to generate goal vectors, we introduce a novel sub-goal generation module. The sub-goal generation module could capture the relationship among the related nodes (e.g. parent nodes, sibling nodes) using attention mechanism. Experimental results on two large public datasets i.e. Math23K and Ape-clean show that our tree-structured model outperforms the state-of-the-art models and obtains answer accuracy over 86%. Furthermore, the performance on long-expression problems is promising.¹     

Aligning information technology and business strategy with a dynamic capabilities perspective: A longitudinal study of a Taiwanese Semiconductor Company

Strategic alignment involves the development and reconfiguration of information technology (IT) to support business strategies. This paper applies the dynamic capabilities perspective to analyze the strategic information system alignment process. The paper further argues the approach is constructive in understanding and overcoming difficulties in achieving and sustaining alignment. From a longitudinal case study of a semiconductor company in Taiwan, the results show an unaligned strategic information system (with an implemented IT strategy that varies from the intended IT strategy) impedes the development of IT. Path dependence, or the implications of prior IT decisions, is another barrier for alignment. A broader view of intended alignment, focusing on IT combined with clear business vision, can be beneficial for adding future IT resources. In addition, dynamic capabilities, which are critical for the creation and strength of IT resources, positively influence the alignment process and its future implementation success.