Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines’ Digital Brand Name Effect

Σακάς, Δαμιανός Π.; Giannakopoulos, Nikolaos T.

doi:10.3390/bdcc5040048

Cited by 27 publications

(18 citation statements)

References 43 publications

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“…After the creation of the macro-scale model (FCM), a micro-scale model was developed. Agent-Based Models (ABM) provide the ability to simulate and estimate all the behavioral and technical factors that affect the corporate brand name and visibility [9,75,79]. The contribution of the ABMs to digital marketing and decision-making is profound and has been analyzed in various previous research [80,81].…”

Section: Agent-based Modelmentioning

confidence: 99%

“…The contribution of the ABMs to digital marketing and decision-making is profound and has been analyzed in various previous research [80,81]. More specifically, ABMs provide the ability for marketers to create simulations for real-life problems and to analyze user behavior with no cost for the extraction of valuable decision-making strategies [79,81]. The following section presents the results of the study.…”

Section: Agent-based Modelmentioning

confidence: 99%

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The Effects of Logistics Websites’ Technical Factors on the Optimization of Digital Marketing Strategies and Corporate Brand Name

et al. 2022

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In a world overwhelmed with unstructured information, logistics companies increasingly depend on their websites to acquire new customers and maintain existing ones. Following this rationale, a series of technical elements may set the ground for differentiating one logistics website from another. Nevertheless, a suitable digital marketing strategy should be adopted in order to build competitive advantage. In this paper, the authors attempt to respond by implementing an innovative methodology building on web analytics and big data. The first phase of the research collects data for 180 days from 7 world-leading logistics companies. The second phase presents the statistical analysis of the gathered data, including regression, correlations, and descriptive statistics. Subsequently, Fuzzy Cognitive Mapping (FCM) was employed to illustrate the cause-and-effect links among the metrics in question. Finally, a predictive simulation model is developed to show the intercorrelation among the metrics studied as well as various optimization strategies. Research findings reveal a significant correlation between the logistics websites’ technical factors and the growth of the corporate brand name.

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Section: Agent-based Modelmentioning

confidence: 99%

Section: Agent-based Modelmentioning

confidence: 99%

The Effects of Logistics Websites’ Technical Factors on the Optimization of Digital Marketing Strategies and Corporate Brand Name

et al. 2022

Self Cite

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“…In 2021, the entry points to ESDAC included direct entries (27.9%), entries from a link of another website (8.6%), and entries through a search engine (63.4%) (Figure 8b). Direct access (direct traffic) to a website F I G U R E 6 Users of the ESDAC datasets occurs when a visitor arrives directly on a website without having clicked on a link on another site (Sakas & Giannakopoulos, 2021). The ESDAC data pages appear to be very popular in Google searches.…”

Section: Visits and Downloadsmentioning

confidence: 99%

European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies

Panagos

Liedekerke

Borrelli

et al. 2022

European J Soil Science

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The European Soil Data Centre (ESDAC), hosted by the European Commission's Joint Research Centre (JRC), is the focal point for soil data, support to policy making and awareness raising for the European Union (EU). Established in 2006 to provide harmonised soil‐related information for the EU Member States, and ESDAC currently hosts 88 datasets, 6000 maps, six atlases, 500 scientific publications, and a copious amount of soil‐related material. Through its data repository publishing activity, ESDAC has licensed over 50,000 datasets during the past 15 years; 8500 of them in 2021 alone. It has published 140 monthly newsletters and is followed by more than 12,000 subscribed users, which receive regular updates. This article addresses the use, usability, and usefulness of ESDAC. About 75% of the ESDAC users come from academia and the research community while the remaining 25% includes public administration (at EU, national, regional, and local level) and the private sector. In addition, we provide some insights of the datasets evaluation and how they have been developed. The general ESDAC vision is to provide evidence underlying EU soil‐relevant policies and to facilitate the access to relevant data for research. ESDAC is an integral part of the recently established European Union Soil Observatory (EUSO), with a target to have an even stronger role in supporting EU and regional policies. Highlights ESDAC is a central place from where to find European wide relevant soil data. ESDAC is an integral part of the EU Soil Observatory in creating data and knowledge for policy support. The ESDAC website shows a high volume of traffic; 10,000 of user licenses are granted per year. ESDAC key success: open access data policy, documentation, operational helpdesk and regular updates.

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“…Therefore, we deployed fuzzy cognitive mapping (FCM), which will implement selected web metrics of both SEO Techniques and Metrics depicting the relationships to Web Metrics, so as to obtain a more adaptive model for process assessment. Fuzzy cognitive mapping deploys a descriptive and consolidated stochastic classification methodology, mainly used to represent the correlations between hotels' web metrics [75]. We use the orange color to mark the SEO Techniques, green color to mark the SEO Metrics, and blue color to mark the hotels' Web Traffic.…”

Section: Diagnostic Exploratory Model Developmentmentioning

confidence: 99%

Greek Hotels’ Web Traffic: A Comparative Study Based on Search Engine Optimization Techniques and Technologies

Roumeliotis

Tselikas

Tryfonopoulos

2022

Digital

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Currently, websites rely heavily on digital marketing, notably search engine optimization (SEO), for success. In the COVID-19 era, hotels have to employ every feasible means to stay afloat despite the bleak business and travel conditions. Many of them have already invested in digital marketing, especially SEO, by applying SEO techniques to their websites to attract more visitors and bookings. This research examines hotels’ websites regarding the SEO techniques they have applied and their impact on web traffic to their websites. During a one-year observation period (February 2021–February 2022), we collected and analyzed web data from 309 top-listed Greek hotels using our own-developed software. By creating and following a specific methodology, we came to valuable conclusions. In addition, we used fuzzy cognitive mapping to develop an exploratory model. From the descriptive analysis and technical SEO perspective, we have concluded that hotels websites’ traffic and, by extension, their long-term viability are inextricably intertwined. Existing and future SEO marketers may benefit from our research’s time-accurate insights on hotel SEO tactics.

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Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines’ Digital Brand Name Effect

Cited by 27 publications

References 43 publications

The Effects of Logistics Websites’ Technical Factors on the Optimization of Digital Marketing Strategies and Corporate Brand Name

The Effects of Logistics Websites’ Technical Factors on the Optimization of Digital Marketing Strategies and Corporate Brand Name

European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies

Greek Hotels’ Web Traffic: A Comparative Study Based on Search Engine Optimization Techniques and Technologies

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