Travelers’ food experience sharing on social network sites

The proliferation of social media offers new avenues for understanding traveler information sharing behavior. The purpose of this study was to explore the patterns of traveler food sharing experiences on soial network sites, their triggers, and consequences as well as the inter-relationships among these factors. Thirty-three semi-structured interviews and subsequent thematic analysis revealed five major sharing motivation domains including Social and relational, Self-image projection, Emotion articulation, Self-archiving, and Information sharing, all of which were situated along the two continuums (self–others and psychology–functionality) of a two-dimensional plane. This research uncovers fresh insights that are unique to travelers’ food experience sharing and offers theoretical contributions as well as practical implications for destination marketers.     

新医药产业协同创新结构考察

协同创新的本质是创新系统的结构构建,各创新要素之间的联结和相互作用机制决定了协同创新系统的效率。本文以江苏新医药产业为例,从创新网络的节点和创新资源两个方面分析了新医药产业协同创新的结构,并从创新网络的结构特征归纳了新医药产业协同创新的类型,最后提出应如何通过构建产业协同创新的结构来优化创新系统的效率。     

文化嵌入、网络行为与集群企业创新台皂力的关联机制研究——理论分析框架与命题

经济行为嵌入在社会关系中，主体的行动是受背后的动机和意愿支配的。本文在进行相关文献回顾的基础上，从区域文化产生来源出发，归纳提炼了区域文化的内吝维度，并基于资源依赖理论，从文化嵌入的内容和程度两个方面，提出了文化嵌入作用于集群企业创新能力的一个系统分析框架，即嵌入于不同内容和程度区域文化的集群企业，其网络建构、网络维系和网络学习行为具有重大差异，进而使自身对网络资源的获取和利用水平上存在着差异，并最终导致企业的创新能力水平截然不同。在此基础上，形成了一系列有待未来实证检验的文化嵌入作用机制的命题。     

网络安全综合评价方法的应用研究

文章分析了计算机网络运行存在的风险;并从分段技术、加密技术、防火墙技术和抗病毒技术方面探讨了如何防范安全风险。     

数字化宿舍网络的研究和设计

随着IT技术的发展,数字化宿舍区的建设和发展逐步走进大学生的学习和生活。在数字化宿舍区建设中,开放的分布式控制网络系统与Internet的相互结合是控制网络系统发展的趋势。控制网络与信息网络的互连使网络结构更复杂、规模更庞大,对网络的安全性和可靠性提出了更高的要求。     

基于应用层通道的局域网出口流量控制策略设计

广域网流量需求的急剧扩张和局域网运营方出口带宽的矛盾迫使流量控制节点被部署到局域网关键链路当中。分析了网络用户的流量需求。从局域网运营方的角度出发,阐述了基于应用层通道的流量控制的原理、原则和目标。设计了流量控制的四类通道和两种策略的方案。     

财务管理神经网络智能决策支持系统的研究

财务管理决策支持系统(简称DSS)是辅助各级决策者实现财务管理的科学决策系统。它主要通过人机交互的方式,利用大量财务数据和众多模型来实现科学性的管理。神经网络是一种非线性复杂网络系统,它主要由许多类似于神经元的处理单元组合而成。将财务管理和神经网络和决策支持系统结合可以实现财务系统的自适应并行联想推理及数据开采的自动化,使财务管理、决策、执行更加科学化、规范化、智能化。     

浅析部队网络安全保密价值

随着网络技术的普及发展和广泛应用,互联网已经成为大众生活离不开的工具,经济、文化、军事和社会活动都强烈地依赖于网络。网络安全和保密工作已成为事关国家安全、经济发展、社会稳定和军事斗争成败的重大战略性课题。     

Comparing linear and nonlinear forecasts for stock returns

We compare the out-of-sample performance of monthly returns forecasts for two indices, namely the Dow Jones (DJ) and the Financial Times (FT) indices. A linear and a nonlinear artificial neural network (ANN) model are used to generate the out-of-sample competing forecasts for monthly returns. Stationary transformations of dividends and trading volume are considered as fundamental explanatory variables in the linear model and the input variables in the ANN model. The comparison of out-of-sample forecasts is done on the basis of forecast accuracy, using the Diebold and Mariano test [J. Bus. Econ. Stat. 13 (1995) 253.], and forecast encompassing, using the Clements and Hendry approach [J. Forecast. 5 (1998) 559.]. The results suggest that the out-of-sample ANN forecasts are significantly more accurate than linear forecasts of both indices. Furthermore, the ANN forecasts can explain the forecast errors of the linear model for both indices, while the linear model cannot explain the forecast errors of the ANN in either of the two indices. Overall, the results indicate that the inclusion of nonlinear terms in the relation between stock returns and fundamentals is important in out-of-sample forecasting. This conclusion is consistent with the view that the relation between stock returns and fundamentals is nonlinear.     

Effects of Network Embeddedness on the Relationship Between Environmental Volatility and Interfirm Contracts

Purpose: This study examines the effects of an embedded network on the contractual relationship between exchange parties under conditions reflecting varying levels of environmental volatility and investigates the role of an important network factor—the embedded network—in the contractual relationship between manufacturers and their suppliers.

Methodology: The empirical test was conducted with manufacturing companies in the context of manufacturer–supplier relationships. Construct measures were based on existing measures and previous research. Measurement reliability and validity were established using exploratory and confirmatory factor analysis and an overall measurement model was assessed with structural equation modeling using LISREL.

Findings: The results of a survey of manufacturers indicate that firms in an embedded network preferred “soft” contracts even when they face volatile environments, whereas those facing volatile environments in a less embedded network preferred “hard” contracts with explicitly specified written requirements. Network partners carefully evaluated embedded networks (a critical factor that has not received enough attention) before forming contractual relationships in a network perceiving interfirm relationships differently.

Originality: The study introduces network embeddedness to explain governance mechanisms in volatile environments and shows that the explicit recognition of embedded network may facilitate the development of contracts with specific provisions as the contractual relationship evolves.