浅析网络信息安全技术

文章总结分析了网络信息的几种安全技术,并简要叙述了安全技术的具体应用。     

浅谈《国际金融》课程课堂教学模式的改革

《国际金融》课程是一门综合性、实践性和时代性很强的课程,该课程的这些特点,决定了在其教学过程中必须对课堂教学模式进行改革。要充分利用多媒体教学手段;灵活运用多种教学方法,并与优化教学内容相结合;要改革考试方法和内容,建立科学的考核指标体系;在教材的使用上要＂用教材教＂而不是＂教教材＂等才能完成预期的教学目标。     

The Effect Of Advertising Content Control On Advertising Effectiveness In The Different Forced Exposure Circumstance

With advances in new technology, various formats of online advertising (e.g., in-stream video advertising) often force e-consumers to watch the advertisement during their goal-oriented activities, and this advertising interruption often makes them feel intruded upon and irritated. To reduce such negative reactions toward involuntary advertising exposures, this study examines whether offering e-consumers the option to choose advertising content can influence ad effectiveness in different degrees of forced exposure circumstance. Using a 2 (advertising content control: customization option vs. no option) × 2 (level of forced exposure: pre-rolls vs. rich media banners) factorial experiment, the researcher noted that advertising customization features generate a greater sense of relevance and increased advertising memory, which in turn may lead to more positive attitudes toward the ad regardless of the levels of forced exposure. The findings have theoretical and practical implications on the use of involuntary advertising interruptions in the web interface.     

Pointing Out Differences: Consumer Evaluations of Comparative Information Across Product Types

The purpose of this study is to investigate the impacts of comparative claims across search and experience product types. Data was obtained from 159 Taiwanese college students. Results reveal that comparative claims used in blogs (compared to those in print ads) produce lower counterarguments and consumers more easily accept claims made on a blog. Comparative claims lead to higher brand attitude and purchase intention for search products on the blog; however, noncomparative ads lead to higher brand attitude and purchase intention for experience products on the blog. For both search and experience products, there is no significant difference.     

Characteristics of Earnings-Leading Versus Price-Leading Firms

This study attempts to identify firm characteristics that explain the disparity between the information content of accounting earnings and stock prices. Granger's causality concept was employed to classify sample firms into four groups: price-leading firms, feedback-system firms, earnings-leading firms, and no-causation firms. The feedback-system firms were either combined with the no-causation firms or eliminated entirely to form three sample groups. The entire sample firms then were divided into two classes. The first is for estimation, and the second is for prediction. Results indicate that firm size, capital structure, R-square of regressing prices at time t against earnings at time t – 1, R-square of regressing earnings at time t against prices at time t – 1, and percentage of shares held by institutions are the significant explaining variables. The application of the coefficient estimates to the hold-out sample indicates that 76.2% of the firms can be correctly classified into the corresponding groups. These results were consistent with those from canonical discrimination and other multivariate statistical methods.     

Video mining: Measuring visual information using automatic methods

Marketers are becoming increasingly reliant on videos to market their products and services. However, there is no standard set of measures of visual information that can be applied to large datasets. This paper proposes two standard measures that can be automatically obtained from videos: visual variation and video content. The paper tests the measures on crowdfunding videos from a leading online crowdfunding website, and shows that the proposed measures have explanatory power on the funding outcomes of the projects. These measures can be effectively implemented and used for large datasets. Further, researchers can apply these measures to other sets of visual information, and marketers could use the research to guide their video design and improve their video marketing effectiveness.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Threats to the Validity of Logistics and Supply Chain Management Research

To increase the relevance of logistics and supply chain academic research, this paper recommends the development and testing of middle‐range theory and practice‐level theory. Yet, there are a number of research issues that arise when academic researchers test middle‐range and practice‐level theory, both in measuring constructs and in testing theoretical relationships between constructs. Concerning the measurement of constructs, this paper recommends that academic researchers pay more attention to content validity and undertake rigorous processes to ensure content validity. In addition, academic researchers need to more explicitly define constructs as either reflective or formative. If the construct is defined as formative, then the traditional statistical approaches to validate these measurement scales are not recommended. The appropriate use of employing single‐item measures for concrete constructs is discussed. In regard to conducting hypothesis tests, research issues associated with multicollinearity and omitted variable bias are discussed. Relative weight analysis is ideal for testing theoretical models and research hypotheses when survey data are obtained, multicollinearity is present, and there are a large number of independent variables predicting a dependent variable. Thus, relative weight analysis is ideal for testing research hypotheses in logistics and supply chain management.     

The Effectiveness of Brand- and Customer-Centric Content Strategies at Generating Shares, ‘Likes’, and Comments

Brands are constantly competing for user attention on Facebook and are trying to encourage fans to share, click ‘like’, and comment their posts. Yet, it remains unclear what content strategies are successful at encouraging those behaviors. Noting that the effectiveness of brand content strategies still remains an uncharted research area, this study adopts a discovery-oriented approach and employs workshops, quantitative content analysis, and episodic interviews, to link desired user responses (namely clicks share, ‘like’, and comment) to brand content strategies. This study reveals that customer-centric content strategies are the most effective at encouraging user responses. Managers can use provided recommendations to engage their customers by adopting content strategies that result in desired behavioral reactions.     

Environmental Reporting of Global Corporations: A Content Analysis based on Website Disclosures

Today, more corporations disclose information about their environmental performance in response to stakeholder demands of environmental responsibility and accountability. What information do corporations disclose on their websites? This paper investigates the environmental management policies and practices of the 200 largest corporations in the world. Based on a content analysis of the environmental reports of Fortune’s Global 200 companies, this research analyzes the content of corporate environmental disclosures with respect to the following seven areas: environmental planning considerations, top management support to the institutionalization of environmental concerns, environmental structures and organizing specifics, environmental leadership activities, environmental control, external validations or certifications of environmental programs, and forms of corporate environmental disclosures.