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We noticed an increase in the relative number of published papers on topics such as infoveillance, infodemiology and Google Trends. Collected PubMed data are from the period of January 2020 to March 2021 and were searched with the use of five keywords: infoveillance, infodemiology, Google Trends, diabetes and in silico. We compared an increase in the number of papers from PubMed with search interest expressed in Google Trends. Collected Google Trends data is from the same period, covering fifteen months starting January 2020 and were searched with the use of three search topics: coronavirus, lockdown and social distancing. The geographic setting for search engine users was worldwide. We propose a hypothesis that after increased interest in searches during the pandemic's initial months came an increased number of published papers on topics such as infoveillance, infodemiology and Google Trends.
Steffen Springer; Michael Zieger; Artur Strzelecki. The rise of infodemiology and infoveillance during COVID-19 crisis. One Health 2021, 13, 100288 .
AMA StyleSteffen Springer, Michael Zieger, Artur Strzelecki. The rise of infodemiology and infoveillance during COVID-19 crisis. One Health. 2021; 13 ():100288.
Chicago/Turabian StyleSteffen Springer; Michael Zieger; Artur Strzelecki. 2021. "The rise of infodemiology and infoveillance during COVID-19 crisis." One Health 13, no. : 100288.
Virtual worlds have created unique economies whose outcome is e-currencies, which link the electronic universe and reality. This article aims to examine how perceived usefulness, perceived ease of use, perceived risks, and perceived trust significantly impact consumers’ virtual currencies’ behaviour. The study tested and used an adapted TAM model in the context of virtual currencies using structural equation modelling. The partial least square method of structural equation modelling is employed to test the proposed research model. The study utilises an online survey to obtain data from 205 virtual currency consumers. The data set was analysed using SmartPLS 3 software. The results showed that the best predictor of consumers’ intention to use virtual currencies is perceived usefulness, followed by perceived ease of use. Perceived trust predicts consumers’ perceived usefulness and perceived ease of use. These findings reveal that virtual currencies are seen as useful and easy to use. Consumers trust them enough but notice the risks they carry. They can also accept problems associated with them when it comes to their intention to use them.
Magdalena Gawron; Artur Strzelecki. Consumers’ Adoption and Use of E-Currencies in Virtual Markets in the Context of an Online Game. Journal of Theoretical and Applied Electronic Commerce Research 2021, 16, 1266 -1279.
AMA StyleMagdalena Gawron, Artur Strzelecki. Consumers’ Adoption and Use of E-Currencies in Virtual Markets in the Context of an Online Game. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16 (5):1266-1279.
Chicago/Turabian StyleMagdalena Gawron; Artur Strzelecki. 2021. "Consumers’ Adoption and Use of E-Currencies in Virtual Markets in the Context of an Online Game." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 5: 1266-1279.
This paper provides 743,798 keywords and results with featured snippets retrieved from the Google search engine. It presents a comparison of featured snippets displayed in six languages (English, Polish, German, Spanish, Italian, and French) in terms of snippets length, search query length, type of resulted snippet as paragraph, list, or table and top resulting domains for each country. It is found that keywords triggering featured snippets are most at two or three words long and snippets are mainly presented in the form of a paragraph. In each language, the most visible domain resulting with a direct answer was wikipedia.org.
Artur Strzelecki; Paulina Rutecka. Featured Snippets Comparison in Six European Languages. Blockchain Technology and Innovations in Business Processes 2021, 687 -697.
AMA StyleArtur Strzelecki, Paulina Rutecka. Featured Snippets Comparison in Six European Languages. Blockchain Technology and Innovations in Business Processes. 2021; ():687-697.
Chicago/Turabian StyleArtur Strzelecki; Paulina Rutecka. 2021. "Featured Snippets Comparison in Six European Languages." Blockchain Technology and Innovations in Business Processes , no. : 687-697.
The article deals with distance education, which as a teaching method had to be suddenly introduced in schools and higher education institutions as a result of the global pandemic situation. The paper captures the second wave of Poland’s pandemic situation in relation to global circumstances and the methods of conducting distance learning used across the globe. The purpose of this study was to investigate first-year students’ expectations about the education shift to distance learning. GETAMEL, which is the adapted General Extended Technology Acceptance Model for E-Learning, was used in the study. The study analyzed the influence of Experience, Subjective Norms, Enjoyment, Computer Anxiety, and Self-Efficacy on students’ expectations in the context of distance learning during the COVID-19 pandemic. To test the research model presented during the research, The Partial Least Squares method of Structural Equation Modeling was used. An online survey was created to conduct the research, which collected data from 670 Polish first-year undergraduate students. The acquired data were analyzed using the SmartPLS 3 software. The results of the research indicated that the most important factors that influence the feelings of students and can convince them to change from teaching in the classroom to teaching in the distance learning model are the feeling of pleasure in this form of education and a sense of self-efficacy. The results of this study may be of particular interest to education practitioners, including teachers, and a starting point for further research on e-learning models, including, in particular, the understanding of students’ expectations regarding distance learning.
Karina Cicha; Mariia Rizun; Paulina Rutecka; Artur Strzelecki. COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning. Sustainability 2021, 13, 1889 .
AMA StyleKarina Cicha, Mariia Rizun, Paulina Rutecka, Artur Strzelecki. COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning. Sustainability. 2021; 13 (4):1889.
Chicago/Turabian StyleKarina Cicha; Mariia Rizun; Paulina Rutecka; Artur Strzelecki. 2021. "COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning." Sustainability 13, no. 4: 1889.
Steffen Springer; Artur Strzelecki; Michael Zieger. Tracking awareness for Kawasaki disease in children related to the COVID-19 pandemic. Clinical Rheumatology 2021, 40, 803 -804.
AMA StyleSteffen Springer, Artur Strzelecki, Michael Zieger. Tracking awareness for Kawasaki disease in children related to the COVID-19 pandemic. Clinical Rheumatology. 2021; 40 (2):803-804.
Chicago/Turabian StyleSteffen Springer; Artur Strzelecki; Michael Zieger. 2021. "Tracking awareness for Kawasaki disease in children related to the COVID-19 pandemic." Clinical Rheumatology 40, no. 2: 803-804.
This paper discusses how random factors affect player ability to predict the chance of winning the video game PlayersUnknown’s Battlegrounds (PUBG) which is a genre of the Battle Royale online video game. The purpose of this study is to investigate the influence of random factors such as location, air drop, playzone, and weapon accuracy on the chance to win at PUBG. The study tested and used the random effects model where location, air drop, playzone, and weapon accuracy are classified as external factors that influence a perceived randomness in the game. Perceived randomness and perceived skills are predictors of the player’s chance to win at this game. The proposed research model was tested by the partial least squares regression method of structural equation modelling. The study utilized an online survey to obtain data from 128 PUBG players. The data set was analyzed using SmartPLS 3 software. Results showed that the factor that best predicted levels of perceived randomness was weapon accuracy, followed by the playzone feature. The chance to win is predicted by the perceived randomness of the game as well as the perceived skill of the player. The findings presented in this paper shed light on the concept that randomness factors may determine the likelihood of winning at PUBG and may be relevant and of interest for players and spectators of other e-sport games.
Piotr Gałka; Artur Strzelecki. How Randomness Affects Player Ability to Predict the Chance to Win at PlayerUnknown’s Battlegrounds (PUBG). The Computer Games Journal 2021, 10, 1 -18.
AMA StylePiotr Gałka, Artur Strzelecki. How Randomness Affects Player Ability to Predict the Chance to Win at PlayerUnknown’s Battlegrounds (PUBG). The Computer Games Journal. 2021; 10 (1-4):1-18.
Chicago/Turabian StylePiotr Gałka; Artur Strzelecki. 2021. "How Randomness Affects Player Ability to Predict the Chance to Win at PlayerUnknown’s Battlegrounds (PUBG)." The Computer Games Journal 10, no. 1-4: 1-18.
The paper is dedicated to factors influencing users’ adoption of sustainable cloud computing solutions. The article covers the important characteristics related to cloud computing. It also discusses how sustainable cloud computing is important for sustainability. The current state of their security and potential threats waiting for users is reviewed. The purpose of this study is to investigate the influence of perceived usefulness, security, availability, and satisfaction on users’ adoption of sustainable cloud computing solutions. The study tested and used the adapted Technology Acceptance Model (TAM) model in the context of cloud computing solutions. The partial least square method of structural equation modeling is employed to test the proposed research model. The study utilizes an online survey to obtain data from 252 cloud computing solutions users. The data set was analyzed using SmartPLS 3 software. Results showed that the best predictor of users’ perceived usefulness and system & service quality is perceived availability, followed by perceived security. Both perceived usefulness and system & service quality predict users’ attitude and intention to use of cloud computing solutions. The findings improve understanding regarding the adoption of cloud computing solutions, and this work is, therefore, of particular interest to the IT departments and cloud computing vendors.
Małgorzata Pańkowska; Krzysztof Pyszny; Artur Strzelecki. Users’ Adoption of Sustainable Cloud Computing Solutions. Sustainability 2020, 12, 9930 .
AMA StyleMałgorzata Pańkowska, Krzysztof Pyszny, Artur Strzelecki. Users’ Adoption of Sustainable Cloud Computing Solutions. Sustainability. 2020; 12 (23):9930.
Chicago/Turabian StyleMałgorzata Pańkowska; Krzysztof Pyszny; Artur Strzelecki. 2020. "Users’ Adoption of Sustainable Cloud Computing Solutions." Sustainability 12, no. 23: 9930.
Purpose This paper aims to consider the question of changes brought to consumers’ trust and security issues by the implementation of the General Data Protection Regulation (GDPR) in electronic commerce. Design/methodology/approach Online shopping policies in Poland and Ukraine are compared from the perspective of four factors as follows: application of terms of service and privacy policy, usage of online payment systems, presence in price comparison engines and grade of secure sockets layer security certificates. Comparison is conducted within the framework of three research questions (complemented by eight hypotheses) set to reveal whether: policies of personal data protection and server security for online stores in both countries are the same; all online stores in both countries obey the existing e-commerce rules; e-commerce policies in the two countries differ significantly. The sample for analysis contains 40 Polish and 40 Ukrainian online stores, representing four industries, namely, electronics, entertainment, fashion and goods for children. Findings The research allowed to reveal major differences in the privacy policy of the two countries, caused, mainly, by the absence of GDPR in Ukraine. It also disclosed much stronger cooperation of online stores and price comparison engines in Poland compared to Ukraine. At the same time, research results allow to state that server security in both countries is on the same rather high level and that online stores use transparent and safe methods of online payment. Research limitations/implications This research opens a way to other, expanded observations which will include more countries and larger scopes of data. Its main limitation is that GDPR influence is only studied in two countries, not in all countries where it is implemented. Originality/value This research contributes from security and trust perspectives by analyzing the situation in two countries as follows: the EU member (Poland) and a non-EU country (Ukraine). The value of exploring the situation of Ukrainian e-commerce consists of understanding how online stores function without implementing the GDPR. Observation of shopbots application allows drawing an important conclusion of the necessity for online stores to cooperate with such services. It was also revealed that consumers’ trust in both countries depends a lot on the payment methods applied by an online store and on the ease of use of these methods.
Artur Strzelecki; Mariia Rizun. Consumers’ security and trust for online shopping after GDPR: examples from Poland and Ukraine. Digital Policy, Regulation and Governance 2020, 22, 289 -305.
AMA StyleArtur Strzelecki, Mariia Rizun. Consumers’ security and trust for online shopping after GDPR: examples from Poland and Ukraine. Digital Policy, Regulation and Governance. 2020; 22 (4):289-305.
Chicago/Turabian StyleArtur Strzelecki; Mariia Rizun. 2020. "Consumers’ security and trust for online shopping after GDPR: examples from Poland and Ukraine." Digital Policy, Regulation and Governance 22, no. 4: 289-305.
This paper is dedicated to the higher education institutions shifting towards distance learning processes due to the global pandemic situation caused by COVID-19 in 2020. The paper covers the pandemic situation in Poland generally, analyzing governmental ordinances and tracking the gradual extension of restrictions for educational institutions. The purpose of this study is to investigate the influence of Experience, Enjoyment, Computer Anxiety, and Self-Efficacy on students’ acceptance of shifting education to distance learning. The study tested and used the adapted General Extended Technology Acceptance Model for E-Learning (GETAMEL) in the context of coronavirus pandemic. The partial least squares method of structural equation modeling was employed to test the proposed research model. The study utilizes an online survey to obtain data from 1692 Polish undergraduate and graduate students in both full- and part-time study. The dataset was analyzed using SmartPLS 3 software. Results showed that the best predictor of student’s acceptance of shifting education to distance learning is Enjoyment, followed by Self-Efficacy. Both Perceived Ease of Use and Perceived Usefulness predict student’s Attitude Towards Using and Intention to Use the distance learning. The findings improve understanding regarding the acceptance of distance learning and this work is therefore of particular interest to teachers and practitioners of education.
Mariia Rizun; Artur Strzelecki. Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland. International Journal of Environmental Research and Public Health 2020, 17, 6468 .
AMA StyleMariia Rizun, Artur Strzelecki. Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland. International Journal of Environmental Research and Public Health. 2020; 17 (18):6468.
Chicago/Turabian StyleMariia Rizun; Artur Strzelecki. 2020. "Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland." International Journal of Environmental Research and Public Health 17, no. 18: 6468.
This paper presents an application of developers' and users' dependent factors in the app store optimization. The application is based on two main fields: developers’ dependent factors and users’ dependent factors. Developers’ dependent factors are identified as: developer name, app name, subtitle, genre, short description, long description, content rating, system requirements, page url, last update, what’s new and price. Users’ dependent factors are identified as: download volume, average rating, rating volume and reviews. The proposed application in its final form is modelled after mining sample data from two leading app stores: Google Play and Apple App Store. Results from analyzing collected data show that developer dependent elements can be better optimized. Names and descriptions of mobile apps are not fully utilized. In Google Play there is one significant correlation between download volume and number of reviews, whereas in App Store there is no significant correlation between factors.
Artur Strzelecki. Application of Developers’ and Users’ Dependent Factors in App Store Optimization. International Journal of Interactive Mobile Technologies (iJIM) 2020, 14, 91 -106.
AMA StyleArtur Strzelecki. Application of Developers’ and Users’ Dependent Factors in App Store Optimization. International Journal of Interactive Mobile Technologies (iJIM). 2020; 14 (13):91-106.
Chicago/Turabian StyleArtur Strzelecki. 2020. "Application of Developers’ and Users’ Dependent Factors in App Store Optimization." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 13: 91-106.
The pandemic of the coronavirus disease 2019 (COVID-19), has gained extensive coverage in public media and global news, generated international and national communication campaigns to educate the communities worldwide and raised the attention of everyone. The coronavirus has caused viral pneumonia in tens of thousands of people around the world, and the COVID-19 outbreak changed most countries’ routines and concerns and transformed social behaviour. This study explores the potential use of Google Trends (GT) in monitoring interest in the COVID-19 outbreak and, specifically, in personal protective equipment and hand hygiene, since these have been promoted by official health care bodies as two of the most protective measures. GT was chosen as a source of reverse engineering data, given the interest in the topic and the novelty of the research. Current data on COVID-19 are retrieved from GT using keywords in two languages—Portuguese and Polish. The geographical settings for GT are two countries: Poland and Portugal. The period under analysis is 20 January 2020, when the first cases outside China were known, to 15 June 2020. The results show that there is a correlation between the spread of COVID-19 and the search for personal protective equipment and hand hygiene and that GT can help, to a certain extent, understand people’s concerns, behaviour and reactions to sanitary problems and protection recommendations.
Artur Strzelecki; Ana Azevedo; Alexandra Albuquerque. Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal. Healthcare 2020, 8, 203 .
AMA StyleArtur Strzelecki, Ana Azevedo, Alexandra Albuquerque. Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal. Healthcare. 2020; 8 (3):203.
Chicago/Turabian StyleArtur Strzelecki; Ana Azevedo; Alexandra Albuquerque. 2020. "Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal." Healthcare 8, no. 3: 203.
This paper analyzes peer-reviewed empirical eye-tracking studies of behavior in web search engines. A framework is created to examine the effectiveness of eye-tracking by drawing on the results of, and discussions concerning previous experiments. Based on a review of 56 papers on eye-tracking for search engines from 2004 to 2019, a 12-element matrix for coding procedure is proposed. Content analysis shows that this matrix contains 12 common parts: search engine; apparatus; participants; interface; results; measures; scenario; tasks; language; presentation, research questions; and findings. The literature review covers results, the contexts of web searches, a description of participants in eye-tracking studies, and the types of studies performed on the search engines. The paper examines the state of current research on the topic and points out gaps in the existing literature. The review indicates that behavior on search engines has changed over the years. Search engines’ interfaces have been improved by adding many new functions and users have moved from desktop searches to mobile searches. The findings of this review provide avenues for further studies as well as for the design of search engines.
Artur Strzelecki. Eye-Tracking Studies of Web Search Engines: A Systematic Literature Review. Information 2020, 11, 300 .
AMA StyleArtur Strzelecki. Eye-Tracking Studies of Web Search Engines: A Systematic Literature Review. Information. 2020; 11 (6):300.
Chicago/Turabian StyleArtur Strzelecki. 2020. "Eye-Tracking Studies of Web Search Engines: A Systematic Literature Review." Information 11, no. 6: 300.
This study aims to explore Google’s new “featured snippet” (a direct answer that appears in web search results) to better understand the method of extracting and displaying such answers above regular ranked results. The motivation for the study was to investigate form, structure, and relation to query, content, and domain of the direct answer. This study utilized a dataset of 743,798 keywords and the displayed direct answers. It also included web search data for every direct answer, e.g. resulting domain, full URL address and its original ranking, content of the direct answer, and competition (measured as the number of monthly searches for every query). The main finding concerns the form of construction of keywords used in the website content. Keywords should be built in the form of short, two-to-four-word sentences comprising the subject and its attribute. Using relative pronouns, articles, and prepositions, as well as using questions as queries, can help to properly define a query and display the best direct answer. The dataset is relatively small compared to the volume of searches made daily. No other factors were extracted from the URL, and all data concerned the Google search engine only. Implications for webmasters include: keywords used in website content should be close to grammar forms used in queries; use keywords in URLs; write a comprehensive introduction section on the webpage; and use tables and lists HTML markup. The main objective of this study was to examine the structure of the user’s queries which caused in appearing of direct answers. It is comprehensive and based on real data used by web search engine users. The data used to support the findings have been deposited in the Zenodo repository (https://doi.org/10.5281/zenodo.3541092).
Artur Strzelecki; Paulina Rutecka. Direct Answers in Google Search Results. IEEE Access 2020, 8, 103642 -103654.
AMA StyleArtur Strzelecki, Paulina Rutecka. Direct Answers in Google Search Results. IEEE Access. 2020; 8 (99):103642-103654.
Chicago/Turabian StyleArtur Strzelecki; Paulina Rutecka. 2020. "Direct Answers in Google Search Results." IEEE Access 8, no. 99: 103642-103654.
Purpose The purpose of this paper is to discuss Google visibility of five large STM publishers (Elsevier, Emerald Publishing, Springer, Taylor & Francis and John Wiley & Sons) with the aim to focus on and investigate various upcoming current issues and challenges of the publishing industry regarding discoverability, promotion strategies, competition, information-seeking behavior and the impact of new information technologies on scholarly information. Design/methodology/approach The study is based on data retrieved through two commercial online tools specialized in retrieving and saving the data of the domain's visibility in search engines: SEMrush (“SEMrush – Online Visibility Management Platform”) and Ahrefs (“Ahrefs – SEO Tools & Resources To Grow Your Search Traffic”). All data gathering took place between April 15 and the May 29, 2019. Findings The study exhibits the significance of Google visibility in the STM publishing industry taking into consideration current issues and challenges of the publishing activity. Originality/value This is a “new” trend, certainly of great significance in the publishing industry. The research is conducted in this paper and the theoretical background will be offered to the study of this issue.
Petros Kostagiolas; Artur Strzelecki; Christina Banou; Charilaos Lavranos. The impact of Google on discovering scholarly information: managing STM publishers’ visibility in Google. Collection and Curation 2020, 40, 1 -8.
AMA StylePetros Kostagiolas, Artur Strzelecki, Christina Banou, Charilaos Lavranos. The impact of Google on discovering scholarly information: managing STM publishers’ visibility in Google. Collection and Curation. 2020; 40 (1):1-8.
Chicago/Turabian StylePetros Kostagiolas; Artur Strzelecki; Christina Banou; Charilaos Lavranos. 2020. "The impact of Google on discovering scholarly information: managing STM publishers’ visibility in Google." Collection and Curation 40, no. 1: 1-8.
Artur Strzelecki. The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study. Brain, Behavior, and Immunity 2020, 88, 950 -951.
AMA StyleArtur Strzelecki. The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study. Brain, Behavior, and Immunity. 2020; 88 ():950-951.
Chicago/Turabian StyleArtur Strzelecki. 2020. "The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study." Brain, Behavior, and Immunity 88, no. : 950-951.
The recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on this new epidemic is reported through Google Trends. The reported period is 31 December 2020 to 20 March 2020. The authors draw conclusions on current infodemiological data on COVID-19 using three main search keywords: coronavirus, SARS and MERS. Two approaches are set. First is the worldwide perspective, second – the Chinese one, which reveals that in China this disease in the first days was more often referred to SARS then to general coronaviruses, whereas worldwide, since the beginning, it is more often referred to coronaviruses.
Artur Strzelecki; Mariia Rizun. Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China. International Journal of Online and Biomedical Engineering (iJOE) 2020, 16, 139 -146.
AMA StyleArtur Strzelecki, Mariia Rizun. Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China. International Journal of Online and Biomedical Engineering (iJOE). 2020; 16 (4):139-146.
Chicago/Turabian StyleArtur Strzelecki; Mariia Rizun. 2020. "Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 4: 139-146.
The Google search engine answers many health and medical information queries every day. People have become used to searching for this type of information. This paper presents a study which examined the visibility of health and medical information websites. The purpose of this study was to find out why Google is decreasing the visibility of such websites and how to measure this decrease. Since August 2018, Google has been more rigorously rating these websites, since they can potentially impact people’s health. The method of the study was to collect data about the visibility of health and medical information websites in sequential time snapshots. Visibility consists of combined data of unique keywords, positions, and URL results. The sample under study was made up of 21 websites selected from 10 European countries. The findings reveal that in sequential time snapshots, search visibility decreased. The decrease was not dependent on the country or the language. The main reason why Google is decreasing the visibility of such websites is that they do not meet high ranking criteria.
Artur Strzelecki. Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites? International Journal of Environmental Research and Public Health 2020, 17, 1160 .
AMA StyleArtur Strzelecki. Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites? International Journal of Environmental Research and Public Health. 2020; 17 (4):1160.
Chicago/Turabian StyleArtur Strzelecki. 2020. "Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?" International Journal of Environmental Research and Public Health 17, no. 4: 1160.
Cross-border e-commerce has been growing in recent years. Purchasing goods from abroad is getting easier due to global deliveries, well-known payment methods and decreasing language barriers. Content Delivery Network (CDN) is a technical solution. Deploying CDN for cross-border e-commerce can improve performance and consumer experience. In this paper, four sets of cross-border online stores, containing together 57 e-commerce stores, are examined. Each set is a group of online stores operating in many European markets with different Domain Name System (DNS) settings. Two sets use Cloudflare CDN and its DNS server. Other two sets use country DNS server settings without CDN. Results show that DNS lookup time significantly decrease for cross-border users when online stores are using a CDN, improving overall website time load. Increase of speed for resolving domain names is on average from 40ms to 5ms. No significant improvement was observed for user in the same country location.
Artur Strzelecki. Content Delivery Networks in Cross-border e-Commerce. International Journal of Advanced Computer Science and Applications 2020, 11, 1 .
AMA StyleArtur Strzelecki. Content Delivery Networks in Cross-border e-Commerce. International Journal of Advanced Computer Science and Applications. 2020; 11 (4):1.
Chicago/Turabian StyleArtur Strzelecki. 2020. "Content Delivery Networks in Cross-border e-Commerce." International Journal of Advanced Computer Science and Applications 11, no. 4: 1.
E-sport is one of the most rapidly growing branches of modern entertainment. Many factors influence this rapid progress such as easy access to the broadcast of matches, free e-sport games, or enjoying the favorite match are just a few of them. Moreover, the regularly growing number of tournaments organized (both online and hosted in the largest sports halls in the world) makes more and more older people interested in this phenomenon. Apart from the pure entertainment aspect, electronic sports offer great business opportunities. Proper use of social media allows generating high financial results for investors. The paper is dedicated to the user’s satisfaction from using social media profiles of e-sport organizations, teams, and players. The research covers the basic information about e-sport, social media, and e-marketing forms on social media for e-sport organizations. This work aims to assess the factors influencing the feeling of satisfaction with the use of the social media profile. The purpose of this study is to investigate the influence of Perceived Profile Usefulness, Perceived Entertainment, Identification with Organization and Players, and satisfaction on users’ Intention to Follow and Recommend social media profile of e-sport organization. The study tested and used the model in the context of social media profiles. The partial least square method of structural equation modeling is employed to test the proposed research model. The study utilizes an online survey to obtain data from 209 Polish e-sport enthusiasts (both players and spectators). The data set was analyzed using SmartPLS 3 software. The obtained results showed that the best predictor of users’ Satisfaction is Integration with Organization and Players, followed by Perceived Entertainment. Satisfaction predicts users’ Intention to Follow and Recommend the social media profile of the e-sport organization. The findings improve understanding regarding the marketing actions in e-sport’s social media profiles, and this work is therefore of particular interest to e-sport organizations, e-sport teams, and e-sport players. Keywords: E-sport, social media profile, satisfaction, computer games, social media marketing.
Krzystof Lukowicz; Artur Strzelecki. User Satisfaction on Social Media Profile of E-sports Organization. Marketing and Management of Innovations 2020, 61 -75.
AMA StyleKrzystof Lukowicz, Artur Strzelecki. User Satisfaction on Social Media Profile of E-sports Organization. Marketing and Management of Innovations. 2020; (4):61-75.
Chicago/Turabian StyleKrzystof Lukowicz; Artur Strzelecki. 2020. "User Satisfaction on Social Media Profile of E-sports Organization." Marketing and Management of Innovations , no. 4: 61-75.
Artur Strzelecki; University of Economics in Katowice; Karol Król; Dariusz Zdonek; University of Agriculture in Krakow; Silesian University of Technology in Gliwice. Managing a company’s website in the face of a cyberattack – an example of proactive detection by Google. Scientific Papers of Silesian University of Technology. Organization and Management Series 2020, 2020, 667 -676.
AMA StyleArtur Strzelecki, University of Economics in Katowice, Karol Król, Dariusz Zdonek, University of Agriculture in Krakow, Silesian University of Technology in Gliwice. Managing a company’s website in the face of a cyberattack – an example of proactive detection by Google. Scientific Papers of Silesian University of Technology. Organization and Management Series. 2020; 2020 (149):667-676.
Chicago/Turabian StyleArtur Strzelecki; University of Economics in Katowice; Karol Król; Dariusz Zdonek; University of Agriculture in Krakow; Silesian University of Technology in Gliwice. 2020. "Managing a company’s website in the face of a cyberattack – an example of proactive detection by Google." Scientific Papers of Silesian University of Technology. Organization and Management Series 2020, no. 149: 667-676.