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Proceedings, 2021, IMISC 2020

The 7th International Management Information Systems Conference

Online| 9–11 December 2020

Volume Editors: Ekin Akkol, Ali Mert Erdoğan, Serhat Peker and Onur Doğan

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Cover Story (view full-size image): The conference aims to bring together researchers and practitioners from academia and industry to present their results, exchange ideas with colleagues, and identify new trends and challenges in [...] Read more.
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Editorial

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Open AccessEditorial
Statement of Peer Review
Proceedings 2021, 74(1), 23; https://doi.org/10.3390/proceedings2021074023 - 06 Apr 2021
Viewed by 330
Abstract
In submitting conference proceedings to Proceedings, the volume editors of the proceedings
certify to the publisher that all papers published in this volume have been subjected
to peer review, administered by the volume editors. [...] Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)

Research

Jump to: Editorial

Open AccessProceedings
Security Vulnerability Assessment of Google Home Connection with an Internet of Things Device
Proceedings 2021, 74(1), 1; https://doi.org/10.3390/proceedings2021074001 - 02 Mar 2021
Viewed by 344
Abstract
With virtual assistants, both changes and serious conveniences are provided in human life. For this reason, the use of virtual assistants is increasing. The virtual assistant software has started to be produced as separate devices as well as working on phones, tablets, and [...] Read more.
With virtual assistants, both changes and serious conveniences are provided in human life. For this reason, the use of virtual assistants is increasing. The virtual assistant software has started to be produced as separate devices as well as working on phones, tablets, and computer systems. Google Home is one of these devices. Google Home can work integrated with smart home systems and various Internet of Things devices. The security of these systems is an important issue. As a result of attackers taking over these systems, very serious problems may occur. It is very important to take the necessary actions to detect these problems and to take the necessary measures to prevent possible attacks. The purpose of this study is to test whether an attack that attackers can make to these systems via network time protocol will be successful or not. Accordingly, it has been tried to attack the wireless connection established between Google Home and an Internet of Things device over the network time protocol. Attack results have been shared. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
A Review of Maturity Models Perspective of Level and Dimension
Proceedings 2021, 74(1), 2; https://doi.org/10.3390/proceedings2021074002 - 03 Mar 2021
Viewed by 344
Abstract
The importance of adopting digital transformation for manufacturing companies is increasing day by day. In order to implement digital transformation process effectively, companies need tools based on Maturity Models (MM). This paper aims to present existing MMs in the literature in terms of [...] Read more.
The importance of adopting digital transformation for manufacturing companies is increasing day by day. In order to implement digital transformation process effectively, companies need tools based on Maturity Models (MM). This paper aims to present existing MMs in the literature in terms of their maturity levels and dimensions. According to the literature, it can be said that the maturity levels which are given in this study are similar to other categorical papers. On the other hand, the dimensions discussed herein represent more different perspectives than the maturity levels. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Examining Technology Acceptance in Least-Developed Countries: The Case of ZESA
Proceedings 2021, 74(1), 3; https://doi.org/10.3390/proceedings2021074003 - 03 Mar 2021
Viewed by 299
Abstract
In this study, Zimbabwe Electricity Supply Authority (ZESA), which is the only electricity producer and supplier of public grid products (prepaid meters, mobile payment) in Zimbabwe, was evaluated according to the Technology Acceptance Model (TAM) for perceived usefulness, perceived ease of use and [...] Read more.
In this study, Zimbabwe Electricity Supply Authority (ZESA), which is the only electricity producer and supplier of public grid products (prepaid meters, mobile payment) in Zimbabwe, was evaluated according to the Technology Acceptance Model (TAM) for perceived usefulness, perceived ease of use and attitude toward using technology. The objective of the study was to examine consumers’ technology acceptance of ZESA’s new technology-dependent products. In this context, an online survey was conducted with 262 participants. The results obtained in the study were in parallel with the theory. In addition, consumers from different ages and educational backgrounds were able to purchase their electricity tokens without difficulty. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
COVID-19 Shutdown: A Qualitative Study on Pearls and Pitfalls
Proceedings 2021, 74(1), 4; https://doi.org/10.3390/proceedings2021074004 - 03 Mar 2021
Viewed by 296
Abstract
The extraordinary and tragic conditions that humanity has not experienced before in the modern period have become ordinary, namely, a “new normal” with the presence of the COVID-19 pandemic. COVID-19 has had frightening consequences for human health and has caused one million deaths [...] Read more.
The extraordinary and tragic conditions that humanity has not experienced before in the modern period have become ordinary, namely, a “new normal” with the presence of the COVID-19 pandemic. COVID-19 has had frightening consequences for human health and has caused one million deaths as of September 2020. On the other hand, it has set a new standard of good habits, approaches, and benefits. Due to its global and long-term impact, this unique virus has laid the groundwork for unprecedented helping and sharing behaviors between people and countries. In this study, findings are compiled from the open-ended responses of 626 individuals, all of whom live in Turkey. Within the study’s scope, individuals were asked about the unique advantages and disadvantages of the restrictions imposed under COVID-19. While the categories of economy, social distance, and health came to the fore among the harms, the strengthening of family ties, adoption of technology, and the spread of solidarity culture were mentioned among the advantages. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic
Proceedings 2021, 74(1), 5; https://doi.org/10.3390/proceedings2021074005 - 03 Mar 2021
Viewed by 270
Abstract
The aim of this study was to monitor social mobility using mobile users’ address searches before and during the outbreak of COVID-19. Mobile Google users’ address inquiries between the dates of 15 February 2020 and 27 July 2020 in the historical peninsula of [...] Read more.
The aim of this study was to monitor social mobility using mobile users’ address searches before and during the outbreak of COVID-19. Mobile Google users’ address inquiries between the dates of 15 February 2020 and 27 July 2020 in the historical peninsula of Istanbul were gathered. The spatial distribution of the searches was examined and a heat map was produced based on kernel density estimation (KDE). The density of the inquiries started to decline in March, which is the month in which the first cases were reported in Turkey. An increase was reported in address queries in June and July. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Application of Bagging and Boosting Approaches Using Decision Tree-Based Algorithms in Diabetes Risk Prediction
Proceedings 2021, 74(1), 6; https://doi.org/10.3390/proceedings2021074006 - 04 Mar 2021
Viewed by 392
Abstract
Diabetes is a serious condition that leads to high blood sugar and the prediction of this disease at an early stage is of great importance for reducing the risk of some significant diabetes complications. In this study, bagging and boosting approaches using six [...] Read more.
Diabetes is a serious condition that leads to high blood sugar and the prediction of this disease at an early stage is of great importance for reducing the risk of some significant diabetes complications. In this study, bagging and boosting approaches using six different decision tree-based (DTB) classifiers were implemented on experimental data for diabetes prediction. This paper also compares applied individual implementation, bagging, and boosting of DTB classifiers in terms of accuracy rates. The results indicate that the bagging and boosting approaches outperform the individual DTB classifiers, and real Adaptive Boosting (AdaBoost) and bagging using Naive Bayes Tree (NBTree) present the best accuracy score of 98.65%. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Application of Recommender System for Spending Habits Based Campaign Management
Proceedings 2021, 74(1), 7; https://doi.org/10.3390/proceedings2021074007 - 04 Mar 2021
Viewed by 405
Abstract
Nowadays, banks are working on finding a suitable campaign for every customer profile. With this study, we aimed to develop a recommendation system that will direct the customer to the appropriate campaign. With the data received from a private bank, credit card transactions [...] Read more.
Nowadays, banks are working on finding a suitable campaign for every customer profile. With this study, we aimed to develop a recommendation system that will direct the customer to the appropriate campaign. With the data received from a private bank, credit card transactions of the users were analyzed, and spending habits were modeled. We aimed to recommend the most suitable campaign to the users through the created models. Within the scope of the study, 662.088 credit card transactions performed by 4997 customers within three months were analyzed, and three campaigns were proposed for each customer as a result of the study. The ALS (Alternating Least Square) algorithm was used on Spark to establish the recommendation system. The primary purpose of the study is to increase customer satisfaction by finding unique users based on spending habits instead of campaigns that are applied collectively to customers by making a personalized campaign offer. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
COVID 19 Peak Time Prediction via a Gradient Boosting Method
Proceedings 2021, 74(1), 8; https://doi.org/10.3390/proceedings2021074008 - 04 Mar 2021
Viewed by 252
Abstract
The outbreak of COVID-19 has caught humanity off guard. Peak-times differ in countries based on their characteristics and precautions taken by governments. In this study, we aimed to determine relative importance of indicators on the spread and to assist non-peaked countries to estimate [...] Read more.
The outbreak of COVID-19 has caught humanity off guard. Peak-times differ in countries based on their characteristics and precautions taken by governments. In this study, we aimed to determine relative importance of indicators on the spread and to assist non-peaked countries to estimate their peak-times. Gradient Boosting Method was employed on 82 countries which reached peak-times. The findings indicate that hospital beds per thousand is the main predictor of peak-time estimation. Restrictions on gatherings and closing public transportation have the highest relative importance among governmental precautions. This model can be utilized and employed with various indices and alternative machine-learning algorithms. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
A Meta-Analysis of Studies on Groupware for Collaborative Work Environments
Proceedings 2021, 74(1), 9; https://doi.org/10.3390/proceedings2021074009 - 04 Mar 2021
Viewed by 316
Abstract
This meta-analysis examines the studies on groupware published between the years 2010 and 2020. Descriptive analysis was conducted to determine the distribution of studies in terms of publication year, time–space matrix category, targeted sectors, research methods, and the academic field of the journals [...] Read more.
This meta-analysis examines the studies on groupware published between the years 2010 and 2020. Descriptive analysis was conducted to determine the distribution of studies in terms of publication year, time–space matrix category, targeted sectors, research methods, and the academic field of the journals that published these studies. Although groupware played a significant role in communication, collaboration, and coordination of users in various collaborative work conditions and sectors, the majority of studies focused on asynchronous and distributed collaborative work environments in the software engineering field, and the research method preferred was design science. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
A Research on the Use of Business Intelligence and Analytics Applications at Turkish Universities
Proceedings 2021, 74(1), 10; https://doi.org/10.3390/proceedings2021074010 - 04 Mar 2021
Viewed by 363
Abstract
As a result of the changes in higher education, universities are utilizing business intelligence and analytics applications, which are private-sector practices. This study aimed to determine the extent of the use of business intelligence and analytics applications at Turkish universities. For this purpose, [...] Read more.
As a result of the changes in higher education, universities are utilizing business intelligence and analytics applications, which are private-sector practices. This study aimed to determine the extent of the use of business intelligence and analytics applications at Turkish universities. For this purpose, case studies were conducted at 12 Turkish universities that have different characteristics. Case studies were conducted face to face as semi-structured interviews. It was revealed that universities use information systems for their business processes; however, they lack the utilization of business analytics applications, especially predictive and prescriptive analytics. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Analysis of Cloud Computing Usage on Performance: The Case of Turkish SMEs
Proceedings 2021, 74(1), 11; https://doi.org/10.3390/proceedings2021074011 - 04 Mar 2021
Viewed by 272
Abstract
Small and mid-size enterprises (SME) are considered the backbone of developing economies in terms of reducing poverty and unemployment. Although most SMEs are still reluctant in new technology adoption, such as cloud computing, some benefited from the services provided by cloud technology. This [...] Read more.
Small and mid-size enterprises (SME) are considered the backbone of developing economies in terms of reducing poverty and unemployment. Although most SMEs are still reluctant in new technology adoption, such as cloud computing, some benefited from the services provided by cloud technology. This study aims to assess the performance evaluation of small and mid-sized enterprises (SMEs) regarding the usage of cloud computing in their activities. The quantitative study was conducted on a sample of 112 respondents employed in Turkish SMEs. A research model is utilized based on performance specific scales. Results signified cloud technology’s positive impact on business performance. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Analysis of Customers’ Reactions to E-Commerce Companies Using Instagram Data
Proceedings 2021, 74(1), 12; https://doi.org/10.3390/proceedings2021074012 - 09 Mar 2021
Viewed by 496
Abstract
The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data [...] Read more.
The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data obtained from the Instagram accounts of e-commerce companies were recorded in a database after the pre-processing and classification stages. A web application has been developed that can support managers in their decision-making processes at operational, tactical, and strategic decision-making levels by visualizing the data recorded in the database. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
UML Diagrams in Software Engineering Research: A Systematic Literature Review
Proceedings 2021, 74(1), 13; https://doi.org/10.3390/proceedings2021074013 - 10 Mar 2021
Viewed by 322
Abstract
Software engineering is a discipline utilizing Unified Modelling Language (UML) diagrams, which are accepted as a standard to depict object-oriented design models. UML diagrams make it easier to identify the requirements and scopes of systems and applications by providing visual models. In this [...] Read more.
Software engineering is a discipline utilizing Unified Modelling Language (UML) diagrams, which are accepted as a standard to depict object-oriented design models. UML diagrams make it easier to identify the requirements and scopes of systems and applications by providing visual models. In this manner, this study aims to systematically review the literature on UML diagram utilization in software engineering research. A comprehensive review was conducted over the last two decades, spanning from 2000 to 2019. Among several papers, 128 were selected and examined. The main findings showed that UML diagrams were mostly used for the purpose of design and modeling, and class diagrams were the most commonly used ones. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Digital Tools as an Enabler for Educational and Training Processes: The Case Study of REFUGEEClassAssistance4 Teachers Project
Proceedings 2021, 74(1), 14; https://doi.org/10.3390/proceedings2021074014 - 12 Mar 2021
Viewed by 439
Abstract
Digitalization has transformed all aspects of life, from social interactions to the working environment and education, something that accelerated with the emergence of COVID-19. The same stands for education and training activities, where the use of digital tools has been gradually advancing and [...] Read more.
Digitalization has transformed all aspects of life, from social interactions to the working environment and education, something that accelerated with the emergence of COVID-19. The same stands for education and training activities, where the use of digital tools has been gradually advancing and become merely online because of the virus. This brought forth the need to discuss further the applications, benefits, and challenges of digital tools within the framework of the education and training process, and the need to study examples of successful applications. This study aims to support both these requirements by presenting the case study of REFUGEEClassAssistance4Teachers project and its outcomes. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
A Jaccard Similarity-Based Model to Match Stakeholders for Collaboration in an Industry-Driven Portal
Proceedings 2021, 74(1), 15; https://doi.org/10.3390/proceedings2021074015 - 11 Mar 2021
Viewed by 304
Abstract
The industry–university collaboration has been emphasized for innovation and economic development in the Triple Helix Model. To facilitate this collaboration often necessitates implementing interfaces between stakeholders. EGEVASYON, an industry-driven platform coined from the combination of innovation and Ege for the Aegean Region of [...] Read more.
The industry–university collaboration has been emphasized for innovation and economic development in the Triple Helix Model. To facilitate this collaboration often necessitates implementing interfaces between stakeholders. EGEVASYON, an industry-driven platform coined from the combination of innovation and Ege for the Aegean Region of Turkey, has been proposed to foster collaboration by involving researchers in industry projects. Moreover, the platform has a portal project under development, where researchers can receive recommendations among ongoing projects. Our study presents the use of Jaccard similarity measure in this recommendation model. Moreover, recommendation selection is demonstrated using a sample dataset of EU projects. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
A Survey to Examine Engineers’ Perspectives on Innovation and Industry 4.0
Proceedings 2021, 74(1), 16; https://doi.org/10.3390/proceedings2021074016 - 11 Mar 2021
Viewed by 320
Abstract
In parallel with the rise of Industry 4.0 and the developments experienced with digital transformation, there are striking differences in the concept of innovation in terms of process and effect. It is a fact that engineers have a strategic importance in transforming the [...] Read more.
In parallel with the rise of Industry 4.0 and the developments experienced with digital transformation, there are striking differences in the concept of innovation in terms of process and effect. It is a fact that engineers have a strategic importance in transforming the changes and developments in the fields of informatics and technology, where great leaps have been experienced, into innovations in a way that creates value. Engineers examine the terms of perceptions and perspectives in this adaptation process and 120 engineers with different educational backgrounds in Turkey were surveyed in this study to assess the diversity of the innovative vision under examination. Statistical Package for the Social Sciences (SPSS)software was used for the stages of analysis. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
The Role of Blockchain Technology in Ensuring Digital Transformation for Businesses: Advantages, Challenges and Application Steps
Proceedings 2021, 74(1), 17; https://doi.org/10.3390/proceedings2021074017 - 12 Mar 2021
Viewed by 497
Abstract
In recent years, the concept of digital transformation has emerged as an area where businesses have been working intensively. Digital transformation refers to the holistic transformation of businesses in human and business processes and technology elements in order to provide more effective and [...] Read more.
In recent years, the concept of digital transformation has emerged as an area where businesses have been working intensively. Digital transformation refers to the holistic transformation of businesses in human and business processes and technology elements in order to provide more effective and efficient services. Therefore, blockchain, which is called a disruptive technology, has great importance in ensuring the digital transformation of businesses. In this study, some determinations have been made about the adoption of blockchain technology and situation analysis while performing digital transformation in businesses. In this context, semi-structured interviews were held with experts in the blockchain field. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
The Importance of Business Continuity and Knowledge Management during the Pandemic Period
Proceedings 2021, 74(1), 18; https://doi.org/10.3390/proceedings2021074018 - 16 Mar 2021
Viewed by 409
Abstract
Earlier in 2020 a knowledge management project was initiated with the aim of organizational performance improvement at a service company. A maturity model was applied for the gap analysis and a systematic literature review was conducted to shape the project. As the COVID-19 [...] Read more.
Earlier in 2020 a knowledge management project was initiated with the aim of organizational performance improvement at a service company. A maturity model was applied for the gap analysis and a systematic literature review was conducted to shape the project. As the COVID-19 grew to a global scale, the aim of the project has shifted into ensuring the business continuity of the case company. Without major changes the project was carried out. At the end it was observed the company not only operated without being affected from the pandemic situation but also improved their organizational performance as aimed initially. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Examination of Support Requests of University Students in Distance Learning during the COVID-19 Pandemic
Proceedings 2021, 74(1), 19; https://doi.org/10.3390/proceedings2021074019 - 16 Mar 2021
Viewed by 375
Abstract
The COVID-19 (SARS-CoV-2) pandemic required changes to be made, especially in formal education processes. In order for the students to stay safe and healthy, many educational institutions switched to the distance learning method for the rest of the semester and continued their education [...] Read more.
The COVID-19 (SARS-CoV-2) pandemic required changes to be made, especially in formal education processes. In order for the students to stay safe and healthy, many educational institutions switched to the distance learning method for the rest of the semester and continued their education without any intermission. Due to this switch, there has been a rise in the usage of learning management systems, and as a result, students started to encounter technical problems, especially during the exam periods, or they simply wanted to obtain more information about academic or administrative issues. This study used frequency and percentage analysis methods and examined the support request tickets opened up by students during distance education. Resolving the encountered problems quickly and effectively is very important in order to protect the motivation of the learners and ensure their successes. It was seen in the study that the majority of the problems reported by the students were related to internet connection or to the problems occurred during exams. This study aimed to share experiences with the researchers and technical and administrative staff working in this field and to contribute to the current distance learning literature. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Machine Learning Methods for COVID-19 Prediction Using Human Genomic Data
Proceedings 2021, 74(1), 20; https://doi.org/10.3390/proceedings2021074020 - 16 Mar 2021
Viewed by 359
Abstract
Accurate identification of COVID-19 is now a critical task since it has seriously damaged daily life, public health, and the economy. It is essential to identify the infected people to prevent the further spread of the pandemic and to treat infected patients quickly. [...] Read more.
Accurate identification of COVID-19 is now a critical task since it has seriously damaged daily life, public health, and the economy. It is essential to identify the infected people to prevent the further spread of the pandemic and to treat infected patients quickly. Machine learning techniques have a significant role in predicting of COVID-19. In this study, we performed binary classification (COVID-19 vs. other types of coronavirus) by extracting features from genome sequences. Support vector machines, naive Bayes, K-nearest neighbor, and random forest methods were used for classification. We used viral gene sequences from the 2019 Novel Coronavirus Resource Database. Experimental results presented show that a decision tree method achieved 93% accuracy. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Optimization for Gene Selection and Cancer Classification
Proceedings 2021, 74(1), 21; https://doi.org/10.3390/proceedings2021074021 - 16 Mar 2021
Viewed by 339
Abstract
Recently, gene selection has played an important role in cancer diagnosis and classification. In this study, it was studied to select high descriptive genes for use in cancer diagnosis in order to develop a classification analysis for cancer diagnosis using microarray data. For [...] Read more.
Recently, gene selection has played an important role in cancer diagnosis and classification. In this study, it was studied to select high descriptive genes for use in cancer diagnosis in order to develop a classification analysis for cancer diagnosis using microarray data. For this purpose, comparative analysis and intersections of six different methods obtained by using two feature selection algorithms and three search algorithms are presented. As a result of the six different feature subset selection methods applied, it was seen that instead of 15,155 genes, 24 genes should be focused. In this case, cancer diagnosis may be possible using 24 candidate genes that have been reduced, rather than similar studies involving larger features. However, in order to see the diagnostic success of diagnoses made using these candidate genes, they should be examined in a wet laboratory. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Reanalysis of Non-Small-Cell Lung Cancer Microarray Gene Expression Data
Proceedings 2021, 74(1), 22; https://doi.org/10.3390/proceedings2021074022 - 23 Mar 2021
Viewed by 528
Abstract
Cancer is one of the leading causes of death in many countries, and this continues to be the case because of the lack of sufficient treatment. One of the most common types is non-small-cell lung cancer (NSCLC). The increasingly large and diverse public [...] Read more.
Cancer is one of the leading causes of death in many countries, and this continues to be the case because of the lack of sufficient treatment. One of the most common types is non-small-cell lung cancer (NSCLC). The increasingly large and diverse public datasets about NSCLC constitute a rich source of data on which several analyses can be performed so as to find candidate oncogenic drivers or therapeutic targets. The aim of this study is to reanalyze an existing NSCLC NCBI GEO Dataset (accession = GSE19804) in order to see if novel involved genes can be found. For this, we used microarray technology for preprocessing and, based on random forest, support vector machine and C5.0 decision tree models, made a comparison of the 10 most important genes recorded. This study was realized with R-Studio 4.0.2 and Bioconductor 3.11. In conclusion, the EFNA4 gene and other genes, namely KANK3, GRK5, CLIC5, SH3GL3, ACACB, LIN7A, JCAD, and NEDD1, are thought to be potential genes that may play a role in NSCLC and it is recommended that researchers working in the wet laboratory should focus on these genes. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
Open AccessProceedings
Blockchain Disrupting Fintech and the Banking System
Proceedings 2021, 74(1), 24; https://doi.org/10.3390/proceedings2021074024 - 15 Apr 2021
Viewed by 217
Abstract
Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It [...] Read more.
Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance. Full article
(This article belongs to the Proceedings of The 7th International Management Information Systems Conference)
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