Internet source evaluation: The role of implicit associations and psychophysiological self-regulation

This study focused on middle school students\u2019 source evaluation skills as a key component of digital literacy. Specifically, it examined the role of two unexplored individual factors that may affect the evaluation of sources providing information about the controversial topic of the health risks associated with the use of mobile phones. The factors were the implicit association of mobile phone with health or no health, and psychophysiological self-regulation as reflected in basal Heart Rate Variability (HRV). Seventy-two seventh graders read six webpages that provided contrasting information on the unsettled topic of the potential health risks related to the use of mobile phones. Then they were asked to rank-order the six websites along the dimension of reliability (source evaluation). Findings revealed that students were able to discriminate between the most and least reliable websites, justifying their ranking in light of different criteria. However, overall, they were little accurate in rank-ordering all six Internet sources. Both implicit associations and HRV correlated with source evaluation. The interaction between the two individual variables was a significant predictor of participants\u2019 performance in rank-ordering the websites for reliability. A slope analysis revealed that when students had an average psychophysiological self-regulation, the stronger their association of the mobile phone with health, the better their performance on source evaluation. Theoretical and educational significances of the study are discussed

Social Media and Hotel E-Marketing in Iran: The Case of Parsian International Hotels

With a quantitative study, this research has aimed to investigate the role of social media in Iranian hotels’ electronic marketing. A questionnaire technique was used on a sample of 140 marketers who work in the Parsian International Hotels’ marketing department. For data evaluation an SPSS program was used. Kolmogorov-Smirnov, Cochran, Regression, Non-standardized coefficients and Standard coefficient tests were carried out. Based on the findings, we can state that social media are still not an important marketing tool for Iranian hotels. Facebook and YouTube are the media which are most used for marketing purposes as videos and photos can be used on these sites more than others. The results show that the marketing abilities of Parsian Hotels improve with the increasing use of social media, but the hotel marketing sector has failed to fully utilize internet opportunity as a marketing tool

Using webcrawling of publicly available websites to assess E-commerce relationships

We investigate e-commerce success factors concerning their impact on the success of commerce transactions between businesses companies. In scientific literature, many e-commerce success factors are introduced. Most of them are focused on companies' website quality. They are evaluated concerning companies' success in the business-to- consumer (B2C) environment where consumers choose their preferred e-commerce websites based on these success factors e.g. website content quality, website interaction, and website customization. In contrast to previous work, this research focuses on the usage of existing e-commerce success factors for predicting successfulness of business-to-business (B2B) ecommerce. The introduced methodology is based on the identification of semantic textual patterns representing success factors from the websites of B2B companies. The successfulness of the identified success factors in B2B ecommerce is evaluated by regression modeling. As a result, it is shown that some B2C e-commerce success factors also enable the predicting of B2B e-commerce success while others do not. This contributes to the existing literature concerning ecommerce success factors. Further, these findings are valuable for B2B e-commerce websites creation

Food and Beverage Marketing to Children and Adolescents: An Environment at Odds With Good Health

Synthesizes research about the effectiveness of industry self-regulatory marketing practices promoting "better-for-you" foods and beverages to children and adolescents. Examines types of media used for unhealthy food marketing and race/ethnicity targeted

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

The Minimized Face of Internal Communication: An Exploration of How Public Relations Agency Websites Frame Internal Communication and its Connection to Social Media

Internal communication is increasingly vital to organizational success due to the influence of social media, yet it remains understudied within public relations research. Using a qualitative content analysis of 181 websites, this study examines how leading public relations agency websites frame the value of internal communication and its connection to social media. Findings reveal internal communication is largely missing from the frame. When explicitly referenced, it is mostly framed as synonymous with employee communication as a means for management to communicate to employees, though some portrayals are more robust. Websites frame internal communication’s value as enhancing financial outcomes by improving workplace culture, employee engagement, and workers’ willingness to support management’s preferred organization brand or reputation. Social media are disconnected from internal communication and are mostly framed as tools that require additional employee training to use in order to reach external audiences. A handful of agencies urge organizations to include social media and internal stakeholders within the internal communication function. Recommendations are made for future internal communication research and practice

Business Value of IT Investment: The Case of a Low Cost Airline’s Website

Using the case of a low cost airline company’s website we analyze some special research questions of information technology valuation. The distinctive characteristics of this research are the ex post valuation perspective; the parallel and comparative use of accounting and business valuation approaches; and the integrated application of discounted cash flow and real option valuation. As the examined international company is a strategic user of e-technology and wants to manage and account intangible IT-assets explicitly, these specific valuation perspectives are gaining practical significance

The development and testing of a child-inspired advertising disclosure to alert children to digital and embedded advertising

Via three studies, this article aims to develop and test an advertising disclosure which is understandable for children (ages six to 12 years old) and which can alert them to different types of advertising in multiple media formats. First, cocreation workshops with 24 children (ages eight to 11 years old) were held to determine a selection of disclosure designs based on insights from the target group. Second, two eye-tracking studies among 32 children (ages six to 12 years old) were conducted to test which of these disclosure designs attracted the most attention when the disclosures were integrated into a media context. These studies led to the selection of the final advertising disclosure: a black rectangular graphic with the word Reclame! (i.e., Dutch for "Advertising!") in yellow letters. Finally, a two-by-two, between-subjects experimental study (disclosure design: existing versus child-inspired advertising disclosure; advertising format: brand placement versus online banner advertising) with 157 children (ages 10 and 11 years old) was performed to test the effectiveness of the child-inspired disclosure by comparing it with existing ones. This study not only showed that children recognized, understood, and liked the child-inspired disclosure better than the existing ones, but they were also better able to recognize advertising after exposure to this child-inspired advertising disclosure

Early evaluation of Unistats: user experiences

This paper sets out the findings of the user evaluation of Unistats.UK Higher Education Funding Bodie