Pub Date : 2021-12-30DOI: 10.24818/issn14531305/25.4.2021.05
Silviu Ojog
{"title":"The Emerging World of Decentralized Finance","authors":"Silviu Ojog","doi":"10.24818/issn14531305/25.4.2021.05","DOIUrl":"https://doi.org/10.24818/issn14531305/25.4.2021.05","url":null,"abstract":"","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89551253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-30DOI: 10.24818/issn14531305/25.3.2021.05
Alexandru Nitu
Agile software development is a group of project management methods that involve identifying customer requirements and developing solutions collaboratively. It is based on iterations of progress that consist of functional intermediate variants with few software bugs. Emphasis is placed on the frequent dialogue between team members through daily meetings where the progress made the previous day and the problems encountered are discussed. A customer representative frequently participates in these discussions. The Coronavirus pandemic has changed everyone's lifestyle. The only possibility of returning to a normal life seems to be the appearance of a weapon against the invisible enemy. Time plays the most important role, and errors must not exist. In just two weeks, a logistics software system was implemented within the National Institute for Medical-Military Research-Development "Cantacuzino" in Bucharest, to support the effort to combat the disease.
{"title":"Agile Software Development for Vaccine Delivery in The Context of the Coronavirus Pandemic","authors":"Alexandru Nitu","doi":"10.24818/issn14531305/25.3.2021.05","DOIUrl":"https://doi.org/10.24818/issn14531305/25.3.2021.05","url":null,"abstract":"Agile software development is a group of project management methods that involve identifying customer requirements and developing solutions collaboratively. It is based on iterations of progress that consist of functional intermediate variants with few software bugs. Emphasis is placed on the frequent dialogue between team members through daily meetings where the progress made the previous day and the problems encountered are discussed. A customer representative frequently participates in these discussions. The Coronavirus pandemic has changed everyone's lifestyle. The only possibility of returning to a normal life seems to be the appearance of a weapon against the invisible enemy. Time plays the most important role, and errors must not exist. In just two weeks, a logistics software system was implemented within the National Institute for Medical-Military Research-Development \"Cantacuzino\" in Bucharest, to support the effort to combat the disease.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81801729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-30DOI: 10.24818/issn14531305/25.3.2021.04
Ionuț-Alexandru Cîmpeanu
In this article, we present a short introduction about chatbots and we describe two original chatbot solutions used in education and tourism. In the first part of the article, we describe the life cycle of a chatbot, presenting the steps needed for its development. We continue with the enumeration and description of the design techniques that developers are using in making the chatbots. The article also presents the architecture of two original chatbot solutions, the design methods and techniques used in their development and implementation and the usefulness and benefits of these two models. Moreover, possible future improvements of these chatbots for having an increased performance are presented. As a conclusion, we highlight the concern of business people for the use of chatbots in any field of activity and the progress that economic activity registers through their use.
{"title":"Business Activities Using Chatbots","authors":"Ionuț-Alexandru Cîmpeanu","doi":"10.24818/issn14531305/25.3.2021.04","DOIUrl":"https://doi.org/10.24818/issn14531305/25.3.2021.04","url":null,"abstract":"In this article, we present a short introduction about chatbots and we describe two original chatbot solutions used in education and tourism. In the first part of the article, we describe the life cycle of a chatbot, presenting the steps needed for its development. We continue with the enumeration and description of the design techniques that developers are using in making the chatbots. The article also presents the architecture of two original chatbot solutions, the design methods and techniques used in their development and implementation and the usefulness and benefits of these two models. Moreover, possible future improvements of these chatbots for having an increased performance are presented. As a conclusion, we highlight the concern of business people for the use of chatbots in any field of activity and the progress that economic activity registers through their use.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78316873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-30DOI: 10.24818/issn14531305/25.3.2021.03
A. Kabir, Suraya Akter, Sriman Mitra
Nowadays, Covid-19 is a serious issue, which is outspread all over the world. As, this is a contagious illness, so people maintaining social distance to prevent it. Government of every country announced lockdown to the respective countries to stop its rapid spread. For this reason, most of the sectors especially the education sector is going through a crisis. Students cannot go to their institution because of this pandemic. Therefore, Government of every country decided to start online class in this pandemic situation. It is very much tough to continue study through online rather than intuitional class. Not only students but also the teachers also faced many problems to do the online class properly because this is a new process for both of them. In online class, teachers have to identify that the students are present or not. If the students turn on their webcam, then the teachers can take their attendance easily. In this research, researchers tried to develop a prototype using R programming language and machine learning tools that can detect and recognize students’ face easily that might help teachers to take attendance without any hassle. Researchers took help of Artificial Intelligence as well as used Machine Learning tools to complete this research. People using artificial intelligence because people do mistake but machine cannot do mistake so the in here the error rate is low. Machine learning is also important because it is time consuming, this machine have to trained up so that it is act as human and solve all the problems easily. That is why various types of programming language are needed to train up the machine. In here, Researchers mainly used OpenCV that is a built-in package of R programming language, which is used for real time face detection and so on. Keyword: Face Detection, Face Recognition, R Programming Language, Artificial Intelligence (AI), Machine Learning, OpenCV DOI: 10.24818/issn14531305/25.3.2021.03
{"title":"Students Engagement Detection in Online Learning During Covid-19 Pandemic Using R Programming Language","authors":"A. Kabir, Suraya Akter, Sriman Mitra","doi":"10.24818/issn14531305/25.3.2021.03","DOIUrl":"https://doi.org/10.24818/issn14531305/25.3.2021.03","url":null,"abstract":"Nowadays, Covid-19 is a serious issue, which is outspread all over the world. As, this is a contagious illness, so people maintaining social distance to prevent it. Government of every country announced lockdown to the respective countries to stop its rapid spread. For this reason, most of the sectors especially the education sector is going through a crisis. Students cannot go to their institution because of this pandemic. Therefore, Government of every country decided to start online class in this pandemic situation. It is very much tough to continue study through online rather than intuitional class. Not only students but also the teachers also faced many problems to do the online class properly because this is a new process for both of them. In online class, teachers have to identify that the students are present or not. If the students turn on their webcam, then the teachers can take their attendance easily. In this research, researchers tried to develop a prototype using R programming language and machine learning tools that can detect and recognize students’ face easily that might help teachers to take attendance without any hassle. Researchers took help of Artificial Intelligence as well as used Machine Learning tools to complete this research. People using artificial intelligence because people do mistake but machine cannot do mistake so the in here the error rate is low. Machine learning is also important because it is time consuming, this machine have to trained up so that it is act as human and solve all the problems easily. That is why various types of programming language are needed to train up the machine. In here, Researchers mainly used OpenCV that is a built-in package of R programming language, which is used for real time face detection and so on. Keyword: Face Detection, Face Recognition, R Programming Language, Artificial Intelligence (AI), Machine Learning, OpenCV DOI: 10.24818/issn14531305/25.3.2021.03","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86697922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-30DOI: 10.24818/ISSN14531305/25.1.2021.05
Bassel Diab
This paper aims to test an artificial model and a calculator the author developed based on deep learning, Neural Networks, and machine learning, Random Forest. The “Diab BITA Model” and the “Diab Calculator” are generated to enable organizations of any size and in any industry, of calculating the value of Strategic Business-IT Alignment (BITA) following a scale of 7 degrees. Principally, the same sample of one of his previous papers is addressed in which top Managers subjectively assessed the BITA maturity; the current paper targets to empirically prove the accuracy of managers’ perceptions using both the model and the calculator. Findings show an 89% accuracy rate in estimating those organizations’ BITA levels using the model and 92% using the calculator.
{"title":"Using Artificial Intelligence for Quantifying Strategic Business-IT Alignment","authors":"Bassel Diab","doi":"10.24818/ISSN14531305/25.1.2021.05","DOIUrl":"https://doi.org/10.24818/ISSN14531305/25.1.2021.05","url":null,"abstract":"This paper aims to test an artificial model and a calculator the author developed based on deep learning, Neural Networks, and machine learning, Random Forest. The “Diab BITA Model” and the “Diab Calculator” are generated to enable organizations of any size and in any industry, of calculating the value of Strategic Business-IT Alignment (BITA) following a scale of 7 degrees. Principally, the same sample of one of his previous papers is addressed in which top Managers subjectively assessed the BITA maturity; the current paper targets to empirically prove the accuracy of managers’ perceptions using both the model and the calculator. Findings show an 89% accuracy rate in estimating those organizations’ BITA levels using the model and 92% using the calculator.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76692431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-30DOI: 10.24818/ISSN14531305/25.1.2021.01
M. Visan, Firicel Mone, F. Filip
The paper presents several practical issues concerning the multi-participant decision-making processes with emphasis on the crowdsourcing approach. The development of effective modern telecom systems that enable effective operations of multi-participant decision units are detailed. System scalability and operator’s agility to incorporate continuous changing technologies challenge further research.
{"title":"Advanced Telecom Systems to Facilitate Collaborative Decision-making in Distributed Settings","authors":"M. Visan, Firicel Mone, F. Filip","doi":"10.24818/ISSN14531305/25.1.2021.01","DOIUrl":"https://doi.org/10.24818/ISSN14531305/25.1.2021.01","url":null,"abstract":"The paper presents several practical issues concerning the multi-participant decision-making processes with emphasis on the crowdsourcing approach. The development of effective modern telecom systems that enable effective operations of multi-participant decision units are detailed. System scalability and operator’s agility to incorporate continuous changing technologies challenge further research.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86645558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-30DOI: 10.24818/issn14531305/24.4.2020.04
Elena Puica
{"title":"Cloud Computing in Supply Chain Management and Economic, Environmental and Social Impact Analysis","authors":"Elena Puica","doi":"10.24818/issn14531305/24.4.2020.04","DOIUrl":"https://doi.org/10.24818/issn14531305/24.4.2020.04","url":null,"abstract":"","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72434930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-30DOI: 10.24818/issn14531305/24.4.2020.06
Sabina-Cristiana Necula
{"title":"Semantic Web Applications: Current Trends in Datasets, Tools and Technologies’ Development for Linked Open Data","authors":"Sabina-Cristiana Necula","doi":"10.24818/issn14531305/24.4.2020.06","DOIUrl":"https://doi.org/10.24818/issn14531305/24.4.2020.06","url":null,"abstract":"","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87768985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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