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The integrated purpose of the libraries’ communication plan in general is to create and accomplish scientific events aiming, first of all, at covering the extensive demand for the scientific conferences. Their primary objective is to raise the prestigious brand name of their organisation, which constitutes the organizing authority. At the same time, this authority, except for its non-profit charitable profile, aims to financial gains by attracting participants for its sustainability. Furthermore, these academic events have contributed to the utmost dissemination of the library’s brand name to an expanding mass of people to the extent of attracting new visitors (Broady-Preston and Lobo, 2011). One of the qualitative academic events, among others, is the creation of academic-nature events, whose following-up is blocked by a multitude of financial barriers according to the new visitors’ viewpoint. Considering the economic crisis, the purpose of this paper is the creation of interesting, in the science of library, online events, just like the online conferences (Broady-Preston and Swain, 2012).

This paper highlights the advantages of the dynamic modelling of systems aimed at developing a successful online conference. In this research, the authors have used the science of design and the research methodology for testing the concept of modeling.

This paper examines the interface among several dimensions for the development of dynamic models. The validity and usefulness of those models in the process of decision-making has been confirmed by the usage of dynamic models in various sectors.

This paper applies the system and the concepts of dynamic modelling, which are pioneering elements as to their nature and evolution.

The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience data and to enable the analyses demanded by the biomedical research community.

The design and development of the N4U analysis base and related information services addresses the existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image data sets and algorithms to conduct analyses.

The provision of an integrated e-science environment of computational neuroimaging can enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases.

The N4U analysis base enables conducting biomedical data analyses by indexing and interlinking the neuroimaging and clinical study data sets stored on the grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information.

The purpose of this paper is to investigate risk reduction strategies in online shopping through the perspective of buyer’s trust.

An explanatory research approach is adopted to identify cause-and-effect relationships between e-quality and customers’ loyalty, satisfaction and trust. This approach is accomplished through field research, which is based on a structured questionnaire that utilizes the E-S-QUAL tool, which is a multiple-item general scale for measuring electronic service quality. The sample is consisted of 92 e-buyers (consumers).

The field research revealed that three e-quality dimensions, namely, ease of use, customization and assurance, e-scape and responsiveness, have significant positive effects on e-loyalty and e-satisfaction. Regarding e-trust, only customization and assurance exerts a significant positive effect.

The field research provides in-depth understanding of relationships among e-loyalty, e-satisfaction and e-trust. The majority of the respondents are young people living in Athens, Greece, highly educated, with a relative low monthly income.

This study investigates how trust is affecting the consumers’ engagement to e-commerce, suggesting the appropriate security that should be taken to mitigate perceived risks. Reviewing security measures can help reduce risks of an e-company and simultaneously enforce the level of trust and customers' intentions to buy.

The purpose of this paper is to investigate the association of lack of awareness and human factors and the association of lack of awareness and significant attacks that threat computer security in higher education.

Five human factors and nine attacks are considered to investigate their relationship. A field research is conducted on Greek employees in higher education to identify the human factors that affect information security. The sample is consisted of 103 employees that use computers at work. Pearson correlation analysis between lack of awareness and nine (9) computer security risks is performed.

Examining the association of lack of awareness with these attacks that threat the security of computers, all nine factors of important attacks exert significant and positive effect, apart from phishing. Considering the relationship of lack of awareness to human factors, all five human factors used are significantly and positively correlated with lack of awareness. Moreover, all nine important attacks, apart from one, exert a significant and positive effect.

The paper extends understanding of the relationship of the human factors, the lack of awareness and information security. The study has focused on employees of the Technological Educational Institute (TEI) of Athens, namely, teachers, administrators and working post-graduate students.

The paper has used weighted factors based on data collection in higher education to calculate a global index for lack of awareness, as the result of the weighted aggregation of nine (9) risks, and extends the analysis performed in the literature to evaluate the effectiveness of security awareness in computer risk management.