Damianos P. Sakas

Prof. Dr. Damianos P. Sakas

Agricultural University of Athens, Athens, Attikí, Greece
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 March 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
CMCatherine C Marinagi
Catherine C Marinagi
Panagiotis ReklitisPanagiotis Reklitis
Panagiotis Reklitis
PTPanagiotis Trivellas
Panagiotis Trivellas
Damianos P. SakasDamianos P. Sakas
Damianos P. Sakas
The term “Resilient Supply Chain 4.0” incorporates two research areas: Industry 4.0 and Supply Chain Resilience (SCRes). Industry 4.0 technologies include innovations such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), Augmented Reality (AR), Cloud Computing (CC), the Internet of Services (IoS), Big Data Analytics (BDA), Artificial Intelligence (AI), Digital Twins (DT), Blockchain (BC), Industrial Robotics (IR), and Additive Manufacturing (AM). Industry 4.0 technologies do not have a direct impact on SCRes, but on resilience elements such as flexibility, redundancy, visibility, agility, collaboration, robustness, and information sharing. This paper aims to investigate which of the Industry 4.0 technologies can help improve the Key Performance Indicators (KPIs) that are used for creating a Resilient Supply Chain 4.0. A non-systematic literature review has been conducted for the identification of (a) the most important constituent elements of SCRes, (b) the Industry 4.0 technologies that improve the SCRes elements, and (c) the KPIs that enhance SCRes. A systematic literature review has been conducted to identify which of the Industry 4.0 technologies have an impact on the KPIs that enhance SCRes. The findings of this work demonstrate that Industry 4.0 technologies can help improve the KPIs for a Resilient Supply Chain 4.0.

Damianos P. SakasDamianos P. Sakas
Damianos P. Sakas
Dimitrios P. ReklitisDimitrios P. Reklitis
Dimitrios P. Reklitis
MTMarina C. Terzi
Marina C. Terzi
Costas VassilakisCostas Vassilakis
Costas Vassilakis
The tourism sector increasingly relies on technology to acquire new clients in a world overflowing with information. So, the main question that needs to be answered is:What digital marketing strategy should be adopted to attract customers and built digital brand name by incorporating websites and social media big data? The authors of this research utilize web analytics and big data to build an innovative methodology in an effort to address this issue. After the data collection, statistical analysis was implemented, followed by a fuzzy cognitive map and an agent-based simulation model in order to illustrate the usage of social media and user experience in multichannel marketing. The findings suggest that, in contrast to the websites of other industries, such as logistics, where customers want to finish their inquiries as quickly as possible and leave the webpage, it is advantageous for tourism websites to keep customers’ attention moreon their website in order to increasevisibility. Additionally, the research further highlights the importance of personalization and user-engagement content to e-WOM, suggesting to tourism businesses to encourage posts made by customers and employees.

5 August 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
Panagiotis ReklitisPanagiotis Reklitis
Panagiotis Reklitis
Damianos P. SakasDamianos P. Sakas
Damianos P. Sakas
PTPanagiotis Trivellas
Panagiotis Trivellas
Giannis TsoulfasGiannis Tsoulfas
Giannis Tsoulfas
During this pandemic crisis, supply chain management (SCM) has emerged as a critical source of competitive advantage driving organizational performance, especially in the agri-food sector, since public health and consumers’ confidence as well as firms’ survival depend on the effectiveness of supply chain networks. This study adopts two central SCM practices, namely strategic suppliers’ partnerships and partners’ information quality & sharing and tests their relationships with competitive advantage (quality, process flexibility, and time to market) and business performance (profitability and market share), based on an empirical study of 300 enterprises in the agri-food sector in Greece. After data collection, we deploy a diagnostic-exploratory model, utilizing fuzzy cognitive mapping, with agent-based modeling following up for development for data prediction and simulation. Consequently, we found that supply chain firms’ compelling and robust relationships with supply chain partners and suppliers can promote their profitability and market share. Relationships of this kind focus on quality information sharing and are strongly connected with businesses’ quality, process flexibility, and time to market competitive capabilities. Hence, our study provides salutary info to supply chain firms regarding potential implementation to existing and new collaborators.

Damianos P. SakasDamianos P. Sakas
Damianos P. Sakas
Nikolaos T. GiannakopoulosNikolaos T. Giannakopoulos
Nikolaos T. Giannakopoulos
Dimitrios P. ReklitisDimitrios P. Reklitis
Dimitrios P. Reklitis
Thomas K. DasaklisThomas K. Dasaklis
Thomas K. Dasaklis
In future years, airline companies will be leaning more and more towards cryptocurrencies to implement their digital marketing strategies as leaders seek to gain an understanding of the factors affecting airlines’ visibility parameters. Cryptocurrency investment websites are currently experiencing rising demand, making them an appropriate site for paid advertisements. The above factors suggest the need for airlines to harvest cryptocurrency investment and platform users in their favour. To this end, it can be beneficial for airlines’ web promotions to link certain web analytics metrics to cryptocurrency trading site metrics. For research purposes, web analytics data were monitored and gathered for 2 consecutive years from 10 globally leading cryptocurrency trading companies and 10 airline websites. A three-stage model was adopted by the authors. In the first stage, statistical analysis was implemented using cryptocurrency and airline metrics, followed by fuzzy cognitive mapping and agent-based modelling stages. The findings of the study indicate that engagement with cryptocurrency trading websites has a positive impact on airline websites’ global ranking and visibility parameters. The outcomes of this research provide noteworthy digital marketing strategies which can be addressed by airline companies to increase their website visitors and optimise visibility parameters with the assistance of cryptocurrency trading websites.

SMStavros Migkos
Stavros Migkos
Nikolaos T. GiannakopoulosNikolaos T. Giannakopoulos
Nikolaos T. Giannakopoulos
Damianos P. SakasDamianos P. Sakas
Damianos P. Sakas
Influencer marketing has emerged as a crucial element in digital marketing, significantly shaping consumer behavior and online shopping preferences. This study examined the multidimensional impact of influencer marketing by analyzing engagement metrics, marketing effectiveness, and consumer decision-making processes, based on consumers in the Greek sector. Through a structured methodological framework, the research employed a questionnaire-based survey, statistical modeling, and Fuzzy Cognitive Mapping (FCM) scenarios to assess consumer interactions with influencer-driven content. Findings highlight that while influencer marketing enhances brand engagement and sales, its effectiveness varies based on content authenticity, transparency, and user trust. Additionally, consumer purchasing decisions are influenced by social media visibility, personalized marketing strategies, and digital platform usability. This study underscores the need for strategic influencer selection and information-driven marketing optimization to sustain long-term consumer engagement. These insights provide practical implications for businesses aiming to enhance digital marketing strategies and contribute to the ongoing discourse on social commerce and consumer-centric marketing models.

10 July 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
NKNikos Kanellos
Nikos Kanellos
Panagiotis KarountzosPanagiotis Karountzos
Panagiotis Karountzos
Nikolaos T. GiannakopoulosNikolaos T. Giannakopoulos
Nikolaos T. Giannakopoulos
MTMarina C. Terzi
Marina C. Terzi
Damianos P. SakasDamianos P. Sakas
Damianos P. Sakas
Agriculture is essential to any country’s economy. Agriculture is crucial not only for feeding a country’s population but also for its impact on other businesses. The paradox of agri-food companies generating substantial profits despite seemingly high product prices is explored in this article, focusing on the role of digital marketing within the agri-food industry. Enhanced digital marketing performance leads to efficient advertising campaigns, through reduced advertising costs and increased resource efficiency. To do so, the authors collected web analytical data from five established agri-food firms with the highest market capitalization. Then, linear regression and correlation analyses were used, followed by the utilization of fuzzy cognitive mapping (FCM) modeling. The analysis revealed that increased traffic through search sources is associated with reduced advertising costs. Additionally, enhanced website engagement contributes to lower advertising expenses, emphasizing the optimization of the user experience. However, it has been discovered that allocating funds for social media advertising eventually results in higher expenses with higher website-abandoning rate. Ultimately, successful management of the balance between product costs and profitability in the agri-food sector lies on the increased use of search sources and greatly reducing the use of social media sources.