战斗机航空电子系统最新的发展趋势-网络化

在分析未来战斗机面临的空中作战特点以及战斗机航空电子系统发展现状的基础上,根据未来信息化战争对航空电子系统发展需求的重大变化,提出未来战斗机航空电子系统在完成从"三代综合化"向"四代综合化"的转变以后,重点是朝着"网络化"方向发展的观点,并重点分析外军为实现这种网络化所采取的技术措施。     

中西方关系网络比较及对跨国企业的启示

关系网同时存在于中西方的社会实践并在商业活动中扮演重要角色,但迄今为止的研究较少针对性的探讨中西方关系网的差别及形成这些差别的本质原因。本文从社会架构和文化价值出发,分别分析了中国的guanxi与西方的networking,从四个方面分析得出了它们的差别及形成原因。在此基础上,本文进一步提出了对中外跨国企业如何善用所在国关系网络的启示。     

浅谈有线数字电视系统的调试与维护

文章介绍了有线数字电视的基本特点、系统指标、应用以及有线数字电视传输系统的维护,阐明了有线数字电视系统常见故障处理方法。     

Is what you see what you get? Investigating the relationship between social media content and counterproductive work behaviors,alcohol consumption,and episodic heavy drinking

Abstract

Employers are increasingly using social networking website (SNW) content to screen applicants for employment despite the absence of much empirical support for this practice. The purpose of this study was to examine the validity of using SNW content to predict employee behavior. Specifically, we investigated the relationship between SNW content and counterproductive work behaviors (CWB), occurrence of workplace accidents, alcohol consumption, and episodic heavy drinking. Participants (N = 146 MBA and upper level undergraduate business students) self-reported demographic information and information about workplace counterproductive behavior. Participants also provided access to their SNW profile, which the researchers subsequently accessed in order to assess potentially compromising content. Results indicate SNW profiles are not associated with CWB or involvement in workplace accidents, while SNW profiles containing alcohol and drug content are associated with alcohol consumption and episodic heavy drinking. Our study is among the first to examine the relationship between SNW profile information and CWBs of interest to HRM personnel and provides evidence that practitioners should exercise caution in drawing inferences about workplace behaviors based on SNW profile information.     

基于价值星系的战略成本管理研究——一个企业间的战略视角

随着网络经济的出现,价值创造的基本逻辑已经开始从价值链转向价值星系。新的企业组织形态与价值创造机制对战略成本管理提出了新的要求。本文对比价值链理论的局限性分析了价值星系的基本特征及其对战略成本管理的影响,提出了价值星系条件下的战略成本管理模式,指出战略成本管理应以价值星系全面成本合理化为目标导向,以企业间关系管理作为战略成本管理重点,以建立星系内有效企业间市场为根本途径,实施高参与型成本管理战略,对价值星系整体成本实施源流管理。     

从价值链到价值群的战略思维转变研究

曾经让企业发现竞争优势的价值链,如今变成了企业发展的绊脚石,束缚着企业管理者重构新的商业模式。在价值链的基础上设计价值群模型,对价值链进行破坏性创新,不破不立;当价值链已经成为企业发展的绊脚石时,对价值链的破坏,从原来的固定链式思维解脱出来,进入一种空间的立体结构运作模式已经成为不争的方向。价值群以其优于价值链的特征更适合现代商业环境的需要。     

基于ZigBee的家庭安全监控系统研究

通过对家庭安全监控系统需求的分析,设计了一种基于ZigBee技术的家庭安全监控系统。分析了家庭安全监控系统的特点,给出了ZigBee网络组建方法和系统的软硬件设计,并介绍了ZigBee网关的实现方法和硬件设计,完成对家庭安全监控系统的搭建。实验验证本系统稳定性强,使用灵活方便,可以实现家庭安全的实时监控,保障家庭安全。     

Determining perceptions,attitudes and behaviour towards social network site advertising in a three-country context

ABSTRACT

Regardless of the growth in social media and social network advertising (SNA), little theoretical and empirical knowledge exists on the differences between countries, and the perceptions and attitudes towards social network advertising. The purpose of the study is to investigate the relationships between users’ perceptions (personal and societal), their attitudes and their behaviour towards Facebook advertising, across three countries, as well as the moderating role of privacy and general advertising attitudes. Online surveys were administered and a convenience sampling resulted in 1,166 respondents. Structural equation modelling was used to test the proposed model.

The research indicates that the social support theory shows promise for examining the perceptions and attitudes towards SNA. Furthermore, the validity of the conceptual model is confirmed in all three countries; however, the strength of these relationships differs. Additionally, it is evident that consumers’ culture influences the role of privacy and trust in SNA perceptions.     

International orientation of Chinese internet SMEs: Direct and indirect effects of foreign and indigenous social networking site use

We examine how international orientation (IO) of small and medium sized enterprises (SMEs) in China is influenced by foreign and indigenous Social Networking Site (SNS) use. Existing international business theory does not explain how SNS use by emerging market SMEs underpins IO. Combining knowledge-based theory, International Entrepreneurship literature and insights from Information Management, we test a model of opposite effects for the use of foreign and indigenous SNS. Analysis of data from 117 Chinese SMEs provides strong support to the central argument that indigenous rather than foreign SNS helps this new breed of firm to become more internationally-oriented.     

Classification of spammer and nonspammer content in online social network using genetic algorithm-based feature selection

ABSTRACT

The emergence of online social network invokes social actors to share their personal information digitally. Moreover, it provides the facility to maintain their links with people of same interest globally. Take advantage of these services; it has become a fascinating testbed to invite various threats like a spammer. Detection of spammer in OSN is one of the most critical tasks. Spammer not only spreads unwanted or bad advertisement but does certain malicious activity in others' profiles. By clearly understanding the activities of different threats, some incremental and accurate approaches are needed for detecting spammer content and profiles involved in these activities by using social network services. Therefore, the focus of this article is to detect spammer content and account, specifically on the leading microblogging platform called Twitter. We propose a hybrid approach which leverages the capabilities of various machine learning algorithms to separate spammer and nonspammer contents and account. Initially, the optimisation algorithm called genetic algorithm analyses the various features and selects the best suitable features that influence the behaviour of user account, and these features are then used to train classifiers. Our framework achieved to severalise spammer and nonspammer content in an effective way. Finally, to prove the efficiency of our proposed framework, a comparative analysis is conducted with some existing state-of-art techniques. The experimental analysis shows that our approach achieves a high detection rate of 99.6%, which is better than other state-of-art techniques.