It is widely acknowledged that employees of an organization are often a weak link in the protection of its information assets. Information security has not been given enough attention in the literature in terms of the human factor effect; researchers have called for more examination in this area. Human factors play a significant role in computer security. In this paper, we focus on the relationship of the human factor on information security presenting the human weaknesses that may lead to unintentional harm to the organization and discuss how information security awareness can be a major tool in overcoming these weaknesses. A framework for a field research is also presented in order to identify the human factors and the major attacks that threat computer security

Several studies have shown that consumers perceive higher risks buying online than in conventional way. Perceived risks affect all purchase decisions and consumers’ behavior, by deterring them to buy. These risks come from the lack of trust of shoppers toward online vendors’ credibility. The main field of research in this paper is to investigate how trust is affecting the consumers engagement to e-commerce, in order to conclude in which security measures should be taken in order to mitigate perceived risks. A framework for a field research is also given in order to identify the causal relationships between electronic service quality and e-loyalty, e-satisfaction and e-trust

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

Purpose: – 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.Design/methodology/approach: – 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.Findings: – 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.Research limitations/implications: – 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.Originality/value: – 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.

The current global financial crisis is the biggest economic upheaval for all libraries around the world and especially for those in Southern Europe. Due to this crisis, Greek and Cypriot libraries face many problems deriving mostly from their state funding and personnel reduction. The paper focuses on the effects on operation and services of Greek and Cypriot libraries, and the impact caused by salary reductions and personnel layoffs on their actual survival. A survey was conducted through an online questionnaire available in Lime Survey to all Greek and Cypriot academic, public and special libraries. Responses were gathered and analyzed. In conclusion, the paper proposes some ideas for the development of new services and activities that may help libraries to deal with the effects of financial crisis and help them stay alive and to reactivate their users support

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.