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Prof. Georgios Giannakopoulos
University of West Attica, Dept. of Archival, Library Science and Information Studies

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0 Library Science
0 Modern History

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Short Biography

Prof. Georgios Giannakopoulos is Head of the Department of Archives, Library and Information Studies of the UNIWA. He studied Librarianship at the TEI of Athens, Political Science at Panteion University and received a PhD diploma from the University of Athens. He has been Librarian, Archivist and historical researcher at the Center for Asia Minor for fifteen years and collaborated with the Hellenic Open University for seventeen years on the Greek History topic. He has published numerous studies in journals, books, conferences, collective volumes and historical albums. He is editor in chief of the International Journal of Integrated Information Management.

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Journal article
Published: 24 June 2021 in Information
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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.

ACS Style

Ioannis Drivas; Dimitrios Kouis; Daphne Kyriaki-Manessi; Georgios Giannakopoulos. Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology. Information 2021, 12, 259 .

AMA Style

Ioannis Drivas, Dimitrios Kouis, Daphne Kyriaki-Manessi, Georgios Giannakopoulos. Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology. Information. 2021; 12 (7):259.

Chicago/Turabian Style

Ioannis Drivas; Dimitrios Kouis; Daphne Kyriaki-Manessi; Georgios Giannakopoulos. 2021. "Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology." Information 12, no. 7: 259.

Dataset
Published: 19 June 2021
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Results from Checkbot API to measure and collect 341 websites compatibility on multiple SEO variables (34 variables). Checkbot API indexes the website's code to find features capable of impacting SEO performance. Each website has been tested with the maximum number of links allowed to be crawled equally to 10.000 per test. In this way, we retrieved data about the overall websites performance including their sub-pages, and not only the main domain names. A scale from 0 (lowest rate) to 100 (highest rate) was adopted for each examined variable. This constitutes a useful managerial indicator of dealing with the quantification of websites performance while avoiding complex measurement systems that are difficult to be adopted by administrators. Websites tested were also categorized by the CMS type used. More information about the variables and the meaning of the results can be found at https://www.checkbot.io/

ACS Style

Ioannis Drivas; Dimitrios Kouis; Daphne Kyriaki-Manessi; Georgios Giannakopoulos. Checkbot API raw results from Libraries, Archives and Museums websites for evaluating a data-driven Search Engine Optimization methodology. 2021, 1 .

AMA Style

Ioannis Drivas, Dimitrios Kouis, Daphne Kyriaki-Manessi, Georgios Giannakopoulos. Checkbot API raw results from Libraries, Archives and Museums websites for evaluating a data-driven Search Engine Optimization methodology. . 2021; ():1.

Chicago/Turabian Style

Ioannis Drivas; Dimitrios Kouis; Daphne Kyriaki-Manessi; Georgios Giannakopoulos. 2021. "Checkbot API raw results from Libraries, Archives and Museums websites for evaluating a data-driven Search Engine Optimization methodology." , no. : 1.

Dataset
Published: 19 June 2021
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Results from Checkbot API to measure and collect 341 websites compatibility on multiple SEO variables (34 variables). Checkbot API indexes the website's code to find features capable of impacting SEO performance. Each website has been tested with the maximum number of links allowed to be crawled equally to 10.000 per test. In this way, we retrieved data about the overall websites performance including their sub-pages, and not only the main domain names. A scale from 0 (lowest rate) to 100 (highest rate) was adopted for each examined variable. This constitutes a useful managerial indicator of dealing with the quantification of websites performance while avoiding complex measurement systems that are difficult to be adopted by administrators. Websites tested were also categorized by the CMS type used. More information about the variables and the meaning of the results can be found at https://www.checkbot.io/

ACS Style

Ioannis Drivas; Dimitrios Kouis; Daphne Kyriaki-Manessi; Georgios Giannakopoulos. Checkbot API raw results from Libraries, Archives and Museums websites for evaluating a data-driven Search Engine Optimization methodology. 2021, 1 .

AMA Style

Ioannis Drivas, Dimitrios Kouis, Daphne Kyriaki-Manessi, Georgios Giannakopoulos. Checkbot API raw results from Libraries, Archives and Museums websites for evaluating a data-driven Search Engine Optimization methodology. . 2021; ():1.

Chicago/Turabian Style

Ioannis Drivas; Dimitrios Kouis; Daphne Kyriaki-Manessi; Georgios Giannakopoulos. 2021. "Checkbot API raw results from Libraries, Archives and Museums websites for evaluating a data-driven Search Engine Optimization methodology." , no. : 1.

Dataset
Published: 03 February 2021
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Based on this retrieved dataset, an effort is given to provide clarity, up-to-date knowledge, and ongoing insights into University Archives research studies over the last 15 years. This will give a clear view to the university archivists and researchers regarding the nature of the topic and how it is investigated and evolved until now by prior relevant research efforts (Hart, 2018). To achieve this goal, in this literature review, we deployed the proposed methodology of Kitchenham (2004). This methodology involves five sequential steps: i)the identification of related studies, ii)the studies selection, iii)the studies quality assessment, the iv)data extraction and data synthesis. The dataset contains information regarding 49 papers and their metadata. That is, title of the study, the year of publication, the type of publication, document type (journal, conference paper, or book chapter etc.), the URL link where the study could be found, the full citation at APA style, and lastly the of each research document.

ACS Style

Ioannis Drivas; Dimitrios Kouis; Christos Chrysanthopoulos; Georgios Giannakopoulos. University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years. 2021, 1 .

AMA Style

Ioannis Drivas, Dimitrios Kouis, Christos Chrysanthopoulos, Georgios Giannakopoulos. University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years. . 2021; ():1.

Chicago/Turabian Style

Ioannis Drivas; Dimitrios Kouis; Christos Chrysanthopoulos; Georgios Giannakopoulos. 2021. "University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years." , no. : 1.

Dataset
Published: 03 February 2021
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Based on this retrieved dataset, an effort is given to provide clarity, up-to-date knowledge, and ongoing insights into University Archives research studies over the last 15 years. This will give a clear view to the university archivists and researchers regarding the nature of the topic and how it is investigated and evolved until now by prior relevant research efforts (Hart, 2018). To achieve this goal, in this literature review, we deployed the proposed methodology of Kitchenham (2004). This methodology involves five sequential steps: i)the identification of related studies, ii)the studies selection, iii)the studies quality assessment, the iv)data extraction and data synthesis. The dataset contains information regarding 49 papers and their metadata. That is, title of the study, the year of publication, the type of publication, document type (journal, conference paper, or book chapter etc.), the URL link where the study could be found, the full citation at APA style, and lastly the of each research document.

ACS Style

Ioannis Drivas; Dimitrios Kouis; Christos Chrysanthopoulos; Georgios Giannakopoulos. University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years. 2021, 1 .

AMA Style

Ioannis Drivas, Dimitrios Kouis, Christos Chrysanthopoulos, Georgios Giannakopoulos. University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years. . 2021; ():1.

Chicago/Turabian Style

Ioannis Drivas; Dimitrios Kouis; Christos Chrysanthopoulos; Georgios Giannakopoulos. 2021. "University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years." , no. : 1.

Journal article
Published: 17 November 2020 in Entropy
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Acquiring knowledge about users’ opinion and what they say regarding specific features within an app, constitutes a solid steppingstone for understanding their needs and concerns. App review utilization helps project management teams to identify threads and opportunities for app software maintenance, optimization and strategic marketing purposes. Nevertheless, app user review classification for identifying valuable gems of information for app software improvement, is a complex and multidimensional issue. It requires foresight and multiple combinations of sophisticated text pre-processing, feature extraction and machine learning methods to efficiently classify app reviews into specific topics. Against this backdrop, we propose a novel feature engineering classification schema that is capable to identify more efficiently and earlier terms-words within reviews that could be classified into specific topics. For this reason, we present a novel feature extraction method, the DEVMAX.DF combined with different machine learning algorithms to propose a solution in app review classification problems. One step further, a simulation of a real case scenario takes place to validate the effectiveness of the proposed classification schema into different apps. After multiple experiments, results indicate that the proposed schema outperforms other term extraction methods such as TF.IDF and χ2 to classify app reviews into topics. To this end, the paper contributes to the knowledge expansion of research and practitioners with the purpose to reinforce their decision-making process within the realm of app reviews utilization.

ACS Style

Ioannis Triantafyllou; Ioannis Drivas; Georgios Giannakopoulos. How to Utilize my App Reviews? A Novel Topics Extraction Machine Learning Schema for Strategic Business Purposes. Entropy 2020, 22, 1310 .

AMA Style

Ioannis Triantafyllou, Ioannis Drivas, Georgios Giannakopoulos. How to Utilize my App Reviews? A Novel Topics Extraction Machine Learning Schema for Strategic Business Purposes. Entropy. 2020; 22 (11):1310.

Chicago/Turabian Style

Ioannis Triantafyllou; Ioannis Drivas; Georgios Giannakopoulos. 2020. "How to Utilize my App Reviews? A Novel Topics Extraction Machine Learning Schema for Strategic Business Purposes." Entropy 22, no. 11: 1310.

Journal article
Published: 02 April 2020 in Big Data and Cognitive Computing
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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.

ACS Style

Ioannis C. Drivas; Damianos P. Sakas; Georgios A. Giannakopoulos; Daphne Kyriaki-Manessi. Big Data Analytics for Search Engine Optimization. Big Data and Cognitive Computing 2020, 4, 5 .

AMA Style

Ioannis C. Drivas, Damianos P. Sakas, Georgios A. Giannakopoulos, Daphne Kyriaki-Manessi. Big Data Analytics for Search Engine Optimization. Big Data and Cognitive Computing. 2020; 4 (2):5.

Chicago/Turabian Style

Ioannis C. Drivas; Damianos P. Sakas; Georgios A. Giannakopoulos; Daphne Kyriaki-Manessi. 2020. "Big Data Analytics for Search Engine Optimization." Big Data and Cognitive Computing 4, no. 2: 5.

Conference paper
Published: 01 December 2018 in 10th International Symposium on the Conservation of Monuments in the Mediterranean Basin
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The paper aims at presenting the use of ontological techniques for creating a common semantic denominator for linking subject-oriented metadata of cultural artifacts to diverse digital resources falling into the same semantic spectrum. This will result in both linked data, where the parameters abide, and an enriched information output for the user. Semantic metadata can be derived either by the artifacts’ types, meaning, symbolism, depiction, referrals, and tagging and/or implied by any string of meanings that the human mind perceives as related to the artifact. The same holds for the semantic nature of digital resources. Semantic metadata of any digital resource can designate type, subject, place, time period, references, relations, and tagging. The linking of those using ontology techniques is explored through structure and graphic representations of relevant examples. This paper contributes in providing an innovative way of linking subject-oriented metadata to cultural objects and to digital resources available on the Web. In addition, it provides another use and enhancement of an ontology environment focusing in the cultural sector.

ACS Style

Daphne Kyriaki-Manessi; Evgenia Vassilakaki; Ioannis Triantafyllou; Georgios A. Giannakopoulos; Angeliki Antoniou. The Use of Ontologies for Creating Semantic Links Between Cultural Artifacts and Their Digital Resources. 10th International Symposium on the Conservation of Monuments in the Mediterranean Basin 2018, 541 -545.

AMA Style

Daphne Kyriaki-Manessi, Evgenia Vassilakaki, Ioannis Triantafyllou, Georgios A. Giannakopoulos, Angeliki Antoniou. The Use of Ontologies for Creating Semantic Links Between Cultural Artifacts and Their Digital Resources. 10th International Symposium on the Conservation of Monuments in the Mediterranean Basin. 2018; ():541-545.

Chicago/Turabian Style

Daphne Kyriaki-Manessi; Evgenia Vassilakaki; Ioannis Triantafyllou; Georgios A. Giannakopoulos; Angeliki Antoniou. 2018. "The Use of Ontologies for Creating Semantic Links Between Cultural Artifacts and Their Digital Resources." 10th International Symposium on the Conservation of Monuments in the Mediterranean Basin , no. : 541-545.

Journal article
Published: 04 April 2016 in Library Review
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Purpose – This paper aims to examine the Self-Other Agreement between leaders and employees in the sector of Libraries and Information Services (LIS) to construct a sustainable and strategic communicational process among library directors and staff. Design/methodology/approach – A sample of 135 leaders-employees of 17 organisations of LIS in more than five countries answered on a quantitative methodological research instrument in a multiplicity of variables. Statistical analysis of independent samples t-test was used to testify our research hypotheses. Findings – Results indicated that there is a difference in means between the two independent samples (leaders-employees). There are library leaders who rate themselves quite high, and there are employees who rate their leaders with lower evaluations. Research limitations/implications – This research extends and improves the matter of Self-Other Agreement in the sector of LIS through the collection of data that indicated a possible gap of communication and trustworthiness between leaders and employees. Practical implications – Regardless of the difference or the consensus of ratings among leaders and employees, the results of this research could be served as a stimulus plus as a starting point for library leaders by correcting or developing relations of communication and trustworthiness between them and their followers. Originality/value – Self-Other Agreement is one of the major factors that positively or negatively affect the overall operation of the organization in the way a leader could perceive the additional feedback. In the sector of LIS, the study of Self-Other Agreement is a rich and unexplored research area which deserves further analysis.

ACS Style

Ioannis C. Drivas; Damianos P. Sakas; Georgios A. Giannakopoulos. Self-other agreement for improving communication in libraries and information services. Library Review 2016, 65, 206 -223.

AMA Style

Ioannis C. Drivas, Damianos P. Sakas, Georgios A. Giannakopoulos. Self-other agreement for improving communication in libraries and information services. Library Review. 2016; 65 (3):206-223.

Chicago/Turabian Style

Ioannis C. Drivas; Damianos P. Sakas; Georgios A. Giannakopoulos. 2016. "Self-other agreement for improving communication in libraries and information services." Library Review 65, no. 3: 206-223.

Conference paper
Published: 01 January 2015 in INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO 2014): Proceedings of the 4th International Conference on Integrated Information
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This paper aims to report the steps taken to create the CIDOC Conceptual Reference Model (CIDOC-CRM) extensions and the relationships established to accommodate the depiction of conservation processes. In particular, the specific steps undertaken for developing and applying the CIDOC-CRM extensions for defining the conservation interventions performed on the cultural artifacts of the National Archaeological Museum of Athens, Greece are presented in detail. A report on the preliminary design of the DOC-CULTURE project (Development of an integrated information environment for assessment and documentation of conservation interventions to cultural works/objects with nondestructive testing techniques [NDTs], www.ndt-lab.gr/docculture), co-financed by the European Union NSRF THALES program, can be found in Kyriaki-Manessi, Zervos & Giannakopoulos (1) whereas the NDT&E methods and their output data through CIDOC-CRM extension of the DOC-CULTURE project approach to standardize the documentation of the conservation were further reported in Kouis et al. (2).

ACS Style

Evgenia Vassilakaki; Spiros Zervos; Georgios A. Giannakopoulos. CIDOC-CRM extensions for conservation processes: A methodological approach. INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO 2014): Proceedings of the 4th International Conference on Integrated Information 2015, 1644, 185 -192.

AMA Style

Evgenia Vassilakaki, Spiros Zervos, Georgios A. Giannakopoulos. CIDOC-CRM extensions for conservation processes: A methodological approach. INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO 2014): Proceedings of the 4th International Conference on Integrated Information. 2015; 1644 (1):185-192.

Chicago/Turabian Style

Evgenia Vassilakaki; Spiros Zervos; Georgios A. Giannakopoulos. 2015. "CIDOC-CRM extensions for conservation processes: A methodological approach." INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO 2014): Proceedings of the 4th International Conference on Integrated Information 1644, no. 1: 185-192.

Journal article
Published: 05 August 2014 in Journal of Systems and Information Technology
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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.

ACS Style

Efthymia Metalidou; Catherine Marinagi; Panagiotis Trivellas; Niclas Eberhagen; Georgios A. Giannakopoulos; Christos Skourlas. Human factor and information security in higher education. Journal of Systems and Information Technology 2014, 16, 210 -221.

AMA Style

Efthymia Metalidou, Catherine Marinagi, Panagiotis Trivellas, Niclas Eberhagen, Georgios A. Giannakopoulos, Christos Skourlas. Human factor and information security in higher education. Journal of Systems and Information Technology. 2014; 16 (3):210-221.

Chicago/Turabian Style

Efthymia Metalidou; Catherine Marinagi; Panagiotis Trivellas; Niclas Eberhagen; Georgios A. Giannakopoulos; Christos Skourlas. 2014. "Human factor and information security in higher education." Journal of Systems and Information Technology 16, no. 3: 210-221.

Journal article
Published: 01 August 2014 in Procedia - Social and Behavioral Sciences
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ACS Style

Georgios Giannakopoulos; Alexandros Koulouris; Dionysis Kokkinos. Libraries in Crisis: A Glimpse over Greece and Cyprus. Procedia - Social and Behavioral Sciences 2014, 147, 411 -417.

AMA Style

Georgios Giannakopoulos, Alexandros Koulouris, Dionysis Kokkinos. Libraries in Crisis: A Glimpse over Greece and Cyprus. Procedia - Social and Behavioral Sciences. 2014; 147 ():411-417.

Chicago/Turabian Style

Georgios Giannakopoulos; Alexandros Koulouris; Dionysis Kokkinos. 2014. "Libraries in Crisis: A Glimpse over Greece and Cyprus." Procedia - Social and Behavioral Sciences 147, no. : 411-417.

Journal article
Published: 01 August 2014 in Procedia - Social and Behavioral Sciences
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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

ACS Style

Efthymia Metalidou; Catherine Marinagi; Panagiotis Trivellas; Niclas Eberhagen; Christos Skourlas; Georgios Giannakopoulos. The Human Factor of Information Security: Unintentional Damage Perspective. Procedia - Social and Behavioral Sciences 2014, 147, 424 -428.

AMA Style

Efthymia Metalidou, Catherine Marinagi, Panagiotis Trivellas, Niclas Eberhagen, Christos Skourlas, Georgios Giannakopoulos. The Human Factor of Information Security: Unintentional Damage Perspective. Procedia - Social and Behavioral Sciences. 2014; 147 ():424-428.

Chicago/Turabian Style

Efthymia Metalidou; Catherine Marinagi; Panagiotis Trivellas; Niclas Eberhagen; Christos Skourlas; Georgios Giannakopoulos. 2014. "The Human Factor of Information Security: Unintentional Damage Perspective." Procedia - Social and Behavioral Sciences 147, no. : 424-428.

Journal article
Published: 01 August 2014 in Procedia - Social and Behavioral Sciences
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ACS Style

Lina Bountouri; Georgios Giannakopoulos. The Use of Social Media in Archives. Procedia - Social and Behavioral Sciences 2014, 147, 510 -517.

AMA Style

Lina Bountouri, Georgios Giannakopoulos. The Use of Social Media in Archives. Procedia - Social and Behavioral Sciences. 2014; 147 ():510-517.

Chicago/Turabian Style

Lina Bountouri; Georgios Giannakopoulos. 2014. "The Use of Social Media in Archives." Procedia - Social and Behavioral Sciences 147, no. : 510-517.

Journal article
Published: 01 August 2014 in Procedia - Social and Behavioral Sciences
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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

ACS Style

Angeliki Vos; Catherine Marinagi; Panagiotis Trivellas; Niclas Eberhagen; Christos Skourlas; Georgios Giannakopoulos. Risk Reduction Strategies in Online Shopping: E-trust Perspective. Procedia - Social and Behavioral Sciences 2014, 147, 418 -423.

AMA Style

Angeliki Vos, Catherine Marinagi, Panagiotis Trivellas, Niclas Eberhagen, Christos Skourlas, Georgios Giannakopoulos. Risk Reduction Strategies in Online Shopping: E-trust Perspective. Procedia - Social and Behavioral Sciences. 2014; 147 ():418-423.

Chicago/Turabian Style

Angeliki Vos; Catherine Marinagi; Panagiotis Trivellas; Niclas Eberhagen; Christos Skourlas; Georgios Giannakopoulos. 2014. "Risk Reduction Strategies in Online Shopping: E-trust Perspective." Procedia - Social and Behavioral Sciences 147, no. : 418-423.

Journal article
Published: 01 February 2013 in Procedia - Social and Behavioral Sciences
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ACS Style

Alexandros Koulouris; Daphne Kyriaki-Manessi; Georgios Giannakopoulos; Spiros Zervos. Institutional Repository Policies: Best Practices for Encouraging Self-Archiving. Procedia - Social and Behavioral Sciences 2013, 73, 769 -776.

AMA Style

Alexandros Koulouris, Daphne Kyriaki-Manessi, Georgios Giannakopoulos, Spiros Zervos. Institutional Repository Policies: Best Practices for Encouraging Self-Archiving. Procedia - Social and Behavioral Sciences. 2013; 73 ():769-776.

Chicago/Turabian Style

Alexandros Koulouris; Daphne Kyriaki-Manessi; Georgios Giannakopoulos; Spiros Zervos. 2013. "Institutional Repository Policies: Best Practices for Encouraging Self-Archiving." Procedia - Social and Behavioral Sciences 73, no. : 769-776.