The main aim of this research is to develop a methodology for the assessment of the effectiveness of the introduction of new digital technologies in commercial banks in Uzbekistan. In the process of developing the methodology, assessment methodologies of digital technologies in various fields were studied and analyzed, such as agriculture, public administration, the oil industry. Studied and analyzed methodologies were used as secondary data in the data collection method in the research. The assessment process in compliance with this developed methodology is carried out in line with the algorithm diagram, which describes the assessment process step-by-step. At the end of the research, the researcher developed factors that can be used for the effective application of digital technologies in commercial banks in Uzbekistan.
{"title":"A Methodology for Assessing the Effectiveness of the Introduction of Digital Technologies in Commercial Banks of Uzbekistan","authors":"Muyassarzoda Fayzieva","doi":"10.1145/3584202.3584217","DOIUrl":"https://doi.org/10.1145/3584202.3584217","url":null,"abstract":"The main aim of this research is to develop a methodology for the assessment of the effectiveness of the introduction of new digital technologies in commercial banks in Uzbekistan. In the process of developing the methodology, assessment methodologies of digital technologies in various fields were studied and analyzed, such as agriculture, public administration, the oil industry. Studied and analyzed methodologies were used as secondary data in the data collection method in the research. The assessment process in compliance with this developed methodology is carried out in line with the algorithm diagram, which describes the assessment process step-by-step. At the end of the research, the researcher developed factors that can be used for the effective application of digital technologies in commercial banks in Uzbekistan.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121480368","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}
Shohjakhon Khamdamov, A. S. Usmanov, Ogiloy Abdulazizova, F. Isaev, Nodirbek Kholbaev, S. Makhmudov, Sabina Kholbaeva
We know that regulation of inflation, creating a favorable environment for market economy and ensuring economic growth is an important issue in every country. To achieve these goals, the monetary policy of the Central Bank, the influence of the refinancing rate is very large. How much do factors affect the central bank's main rate? To answer these pressing questions, we conducted a scientific research. Analytical data for the research were used from the official website of the Central Bank of the Republic of Uzbekistan and the official data of the State Statistics Committee. In the study, quarterly indicators were observed for the years 2016-2022, and the number of observations was 26. In the study, regression, Cook's Distance test and Forward stepwise econometric methods were used using IBM SPSS Statistics 25 program. In the analysis, factors affecting the rate of refinancing of the Central Bank of the Republic of Uzbekistan were selected as the factors of the country's inflation rate, the percentage of deposits in commercial banks, the percentage of preferential loans, the average percentage of total loans, the percentage of consumer loans, and a regression model was created. The level of reliability of the model was checked by the Forward stepwise method and the result was 89.4%. As a result of the study, it was determined that only 3 of the 5 selected factors have an effect on the refinancing rate of the Central Bank and how much of an effect it has. The same 3 factors were included in the model: inflation rate, percentage of deposits in commercial banks, percentage of preferential loans. The number of migrants from Russia has been increasing sharply in Uzbekistan in recent months because of the Ukrain War. It is necessary to determine the degree of influence of these migration factors on the refinancing rate of the Central Bank of the Republic of Uzbekistan.
{"title":"ECONOMETRIC MODELING OF CENTRAL BANK REFINANCING RATE IN UZBEKISTAN","authors":"Shohjakhon Khamdamov, A. S. Usmanov, Ogiloy Abdulazizova, F. Isaev, Nodirbek Kholbaev, S. Makhmudov, Sabina Kholbaeva","doi":"10.1145/3584202.3584239","DOIUrl":"https://doi.org/10.1145/3584202.3584239","url":null,"abstract":"We know that regulation of inflation, creating a favorable environment for market economy and ensuring economic growth is an important issue in every country. To achieve these goals, the monetary policy of the Central Bank, the influence of the refinancing rate is very large. How much do factors affect the central bank's main rate? To answer these pressing questions, we conducted a scientific research. Analytical data for the research were used from the official website of the Central Bank of the Republic of Uzbekistan and the official data of the State Statistics Committee. In the study, quarterly indicators were observed for the years 2016-2022, and the number of observations was 26. In the study, regression, Cook's Distance test and Forward stepwise econometric methods were used using IBM SPSS Statistics 25 program. In the analysis, factors affecting the rate of refinancing of the Central Bank of the Republic of Uzbekistan were selected as the factors of the country's inflation rate, the percentage of deposits in commercial banks, the percentage of preferential loans, the average percentage of total loans, the percentage of consumer loans, and a regression model was created. The level of reliability of the model was checked by the Forward stepwise method and the result was 89.4%. As a result of the study, it was determined that only 3 of the 5 selected factors have an effect on the refinancing rate of the Central Bank and how much of an effect it has. The same 3 factors were included in the model: inflation rate, percentage of deposits in commercial banks, percentage of preferential loans. The number of migrants from Russia has been increasing sharply in Uzbekistan in recent months because of the Ukrain War. It is necessary to determine the degree of influence of these migration factors on the refinancing rate of the Central Bank of the Republic of Uzbekistan.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128269891","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}
Our goal is to precisely define the relationship between digitalization process development and labor migrant workers' outflow abroad. This paper contests the claim that any relationship between labor migrant workers and the digital regulation process. The research also aimed to determine how important ICT is for workers' daily activity abroad in evidence from the 5 regions of Uzbekistan. The study uses quantitative analysis to gain insights into migrant workers' pull factors. We analyzed a unique panel dataset of five independent variables in the period of ranging 2017-2021. There is a linear relationship (correlation) between keywords occurrences and their total strength. But, using fixed effects and random effects models, we found significant changes in the model. By analyzing the Hausman test we found test results Prob>chi2 = 0.0001, so we use Random effect model parameters. But in this model, only internet personal users have a negative relationship by 3.428 units. As for sigma_u-303.64505, sigma_e- 824.88704 and rho .1193317 (fraction of variance due to u_i), analysis of the variability over time showed F-test that all u_i=0: F (4, 15) = 0.25 with Prob > F = 0.9075. It means model estimations need not necessarily pooled regression results. Mainly the study provides the first detailed evidence of the association with a migrant who left the country for working in Uzbekistan regions.
我们的目标是准确界定数字化进程发展与农民工外流之间的关系。本文对农民工与数字监管过程之间存在任何关系的说法提出了质疑。该研究还旨在通过乌兹别克斯坦5个地区的证据确定ICT对工人在国外日常活动的重要性。本研究采用定量分析的方法来深入了解农民工的拉动因素。我们分析了一个独特的面板数据集，其中包括2017-2021年期间的五个自变量。关键词的出现次数与其总强度之间存在线性关系(相关性)。但是，使用固定效应和随机效应模型，我们发现模型发生了显著变化。通过分析Hausman检验，我们发现检验结果Prob>chi2 = 0.0001，所以我们使用Random effect模型参数。但在该模型中，只有互联网个人用户负向关系为3.428个单位。对于sigma_u-303.64505, sigma_e- 824.88704和rho .1193317(由于u_i的方差分数)，随时间的变异性分析显示，F-检验表明所有u_i=0: F (4,15) = 0.25, Prob > F = 0.9075。这意味着模型估计不一定需要汇总回归结果。主要是，这项研究提供了第一个详细的证据，证明这种联系与离开该国到乌兹别克斯坦地区工作的移民有关。
{"title":"Strengthen Digitalization Technologies on Regulation of Labor Migrant Workers Abroad","authors":"Odiljon Rixsimbayev, Sulkhiya Gazieva, Mukhabbat Toshmurodova, Gavkhar Khidirova, Narzillo Rustamov","doi":"10.1145/3584202.3584277","DOIUrl":"https://doi.org/10.1145/3584202.3584277","url":null,"abstract":"Our goal is to precisely define the relationship between digitalization process development and labor migrant workers' outflow abroad. This paper contests the claim that any relationship between labor migrant workers and the digital regulation process. The research also aimed to determine how important ICT is for workers' daily activity abroad in evidence from the 5 regions of Uzbekistan. The study uses quantitative analysis to gain insights into migrant workers' pull factors. We analyzed a unique panel dataset of five independent variables in the period of ranging 2017-2021. There is a linear relationship (correlation) between keywords occurrences and their total strength. But, using fixed effects and random effects models, we found significant changes in the model. By analyzing the Hausman test we found test results Prob>chi2 = 0.0001, so we use Random effect model parameters. But in this model, only internet personal users have a negative relationship by 3.428 units. As for sigma_u-303.64505, sigma_e- 824.88704 and rho .1193317 (fraction of variance due to u_i), analysis of the variability over time showed F-test that all u_i=0: F (4, 15) = 0.25 with Prob > F = 0.9075. It means model estimations need not necessarily pooled regression results. Mainly the study provides the first detailed evidence of the association with a migrant who left the country for working in Uzbekistan regions.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125786378","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}
The purpose of this article is to determine the impact of the economy digitalization on reduction of the share of the shadow sector as a whole. This study is focused on the analysis of the impact of spending on research and development and the prevalence and availability of the Internet among the population on the share of the shadow economy as a whole; and the impact of the availability of Internet and personal computers in firms on the percentage of the shadow labor force. Analysis and synthesis of diverse views and generalization of statistics help to conclude concerning the benefits and risks of digitalization for the shadow economy. Macroeconomic data for the period 2000-2020 from the open data of the World Bank, calculated by the Multiple Indices Multiple Causes model for Uzbekistan and Ordinary Least Squares regression model are used to discover both positive and negative effects digitalization proxies on shadow economy. Statistic data for the Informal employment (2015-2020) is taken from the State Committee of the Republic of Uzbekistan on Statistics. Results allow to distinguish possible legal, regulatory and technical recommendations to reduce shadow sector. According to the estimation results, there is a negative relationship between the shadow sector and the country's research and development expenditure amount and the number of personal computers negatively correlated with the share of informal employment, meanwhile, an increase in internet availability both for individuals and firms encourages further deeper research into this problem.
{"title":"DO R&D AND DIGITALIZATION AFFECT SHADOW ECONOMY IN UZBEKISTAN?","authors":"Maftuna Amanova","doi":"10.1145/3584202.3584240","DOIUrl":"https://doi.org/10.1145/3584202.3584240","url":null,"abstract":"The purpose of this article is to determine the impact of the economy digitalization on reduction of the share of the shadow sector as a whole. This study is focused on the analysis of the impact of spending on research and development and the prevalence and availability of the Internet among the population on the share of the shadow economy as a whole; and the impact of the availability of Internet and personal computers in firms on the percentage of the shadow labor force. Analysis and synthesis of diverse views and generalization of statistics help to conclude concerning the benefits and risks of digitalization for the shadow economy. Macroeconomic data for the period 2000-2020 from the open data of the World Bank, calculated by the Multiple Indices Multiple Causes model for Uzbekistan and Ordinary Least Squares regression model are used to discover both positive and negative effects digitalization proxies on shadow economy. Statistic data for the Informal employment (2015-2020) is taken from the State Committee of the Republic of Uzbekistan on Statistics. Results allow to distinguish possible legal, regulatory and technical recommendations to reduce shadow sector. According to the estimation results, there is a negative relationship between the shadow sector and the country's research and development expenditure amount and the number of personal computers negatively correlated with the share of informal employment, meanwhile, an increase in internet availability both for individuals and firms encourages further deeper research into this problem.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117131928","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}
J. Tukhtabaev, O. Bondarskaya, G. M. Abdulxayeva, D. Sabirova, Rushana Rashidovna Mamarayimova, Zuhra Baxtiyor kizi Ibroximova, F. M. Isroilova, Dostonbek Dilmurod ug'li Kurolboyev
This article discusses the socio-economic benefits of the introduction of the digital economy. The relevance of this article is due to the fact that in recent years digital technologies have penetrated into all sectors and links of the economy, becoming one of the most promising means of development at the macro, meso and micro levels. Within the framework of this study, the problems associated with the introduction of digital technologies were studied, its socio-economic significance was analyzed. Scientific and practical proposals and recommendations have been developed to achieve the socio-economic efficiency of the introduction of the digital economy.
{"title":"SOCIO-ECONOMIC NECESSITY AND PROSPECTS FOR THE INTRODUCTION OF THE DIGITAL ECONOMY","authors":"J. Tukhtabaev, O. Bondarskaya, G. M. Abdulxayeva, D. Sabirova, Rushana Rashidovna Mamarayimova, Zuhra Baxtiyor kizi Ibroximova, F. M. Isroilova, Dostonbek Dilmurod ug'li Kurolboyev","doi":"10.1145/3584202.3584227","DOIUrl":"https://doi.org/10.1145/3584202.3584227","url":null,"abstract":"This article discusses the socio-economic benefits of the introduction of the digital economy. The relevance of this article is due to the fact that in recent years digital technologies have penetrated into all sectors and links of the economy, becoming one of the most promising means of development at the macro, meso and micro levels. Within the framework of this study, the problems associated with the introduction of digital technologies were studied, its socio-economic significance was analyzed. Scientific and practical proposals and recommendations have been developed to achieve the socio-economic efficiency of the introduction of the digital economy.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131245983","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}
In this article, we present the functional characteristics of the qualities of students' professional competence in the hybrid educational environment. We have shown the criteria and indicators of students' analysis-synthesis algorithm. We have considered ways of developing students' creative activity and professional competencies. We have provided information on virtual learning tools based on a mutually beneficial combination of the communicative level and self-motivational preparation factors in the cognitive domain.
{"title":"FACTORS THAT INCREASE THE EFFECTIVENESS OF HYBRID TEACHING IN A DIGITAL EDUCATIONAL ENVIRONMENT","authors":"Mukhabbat Fayziyevna Khakimova, Mexribonu Sheraliyevna Kayumova","doi":"10.1145/3584202.3584255","DOIUrl":"https://doi.org/10.1145/3584202.3584255","url":null,"abstract":"In this article, we present the functional characteristics of the qualities of students' professional competence in the hybrid educational environment. We have shown the criteria and indicators of students' analysis-synthesis algorithm. We have considered ways of developing students' creative activity and professional competencies. We have provided information on virtual learning tools based on a mutually beneficial combination of the communicative level and self-motivational preparation factors in the cognitive domain.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126670578","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}
A. O. A. Deheyab, M. H. Alwan, Islam khalid Abdul Rezzaqe, O. A. Mahmood, Y. Hammadi, A. N. Kareem, Maha Ibrahim
Computers and various imaging technologies effectively enhanced the diagnostic procedures of medical imaging, where various medical images enhance the early diagnosis, characterizing and discriminating of different health problems, which lead to efficient healthcare services and treatments. Digital image processing and medical images analysis can significantly support medical diagnosis by providing the necessary tools for automatic detection, extracting significant information and accurate measurement of visible abnormalities. However, there are many challenges related to medical images as well as challenges that arise during the various stages of image processing. This paper provides an overview of different challenges related to medical images and medical image processing. The most prominent and significant challenges are identified and introduced not to discourage the interested researchers in this field of image processing, but to fill the gap of missing a comprehensive overview on these challenges.
{"title":"AN OVERVIEW OF CHALLENGES IN MEDICAL IMAGE PROCESSING","authors":"A. O. A. Deheyab, M. H. Alwan, Islam khalid Abdul Rezzaqe, O. A. Mahmood, Y. Hammadi, A. N. Kareem, Maha Ibrahim","doi":"10.1145/3584202.3584278","DOIUrl":"https://doi.org/10.1145/3584202.3584278","url":null,"abstract":"Computers and various imaging technologies effectively enhanced the diagnostic procedures of medical imaging, where various medical images enhance the early diagnosis, characterizing and discriminating of different health problems, which lead to efficient healthcare services and treatments. Digital image processing and medical images analysis can significantly support medical diagnosis by providing the necessary tools for automatic detection, extracting significant information and accurate measurement of visible abnormalities. However, there are many challenges related to medical images as well as challenges that arise during the various stages of image processing. This paper provides an overview of different challenges related to medical images and medical image processing. The most prominent and significant challenges are identified and introduced not to discourage the interested researchers in this field of image processing, but to fill the gap of missing a comprehensive overview on these challenges.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"416 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117306579","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}
In economic-statistical modeling, the use of a linear regression model gives high results in the analysis of the relationship between economic indicators and production factors. The article analyzes the relationship between the volume of agricultural production and agricultural techniques using multiple regression models. As we know, it is important to get a better result for the decline of multiple regression. It is important to normalize the data set using feature-scaling techniques to get a good accuracy of the results. In this experiment, we also worked with scaling the dataset. First, we tried standard scalers algorithm and calculated the loss using the mean square error. In this way we achieved an accuracy of regression of mean square error 2.48, residual (between and ) sum of square is 6.16 and mean square error 1.03 terms. This work proves what can be predicted from multiple regressions and provides a guide to the impact of techniques on agricultural production.
{"title":"DATA ANALYSIS AND FORECASTING IN AGRICULTURAL ENTERPRISES","authors":"S. Qulmatova, Botirjon Karimov, D. Azimov","doi":"10.1145/3584202.3584282","DOIUrl":"https://doi.org/10.1145/3584202.3584282","url":null,"abstract":"In economic-statistical modeling, the use of a linear regression model gives high results in the analysis of the relationship between economic indicators and production factors. The article analyzes the relationship between the volume of agricultural production and agricultural techniques using multiple regression models. As we know, it is important to get a better result for the decline of multiple regression. It is important to normalize the data set using feature-scaling techniques to get a good accuracy of the results. In this experiment, we also worked with scaling the dataset. First, we tried standard scalers algorithm and calculated the loss using the mean square error. In this way we achieved an accuracy of regression of mean square error 2.48, residual (between and ) sum of square is 6.16 and mean square error 1.03 terms. This work proves what can be predicted from multiple regressions and provides a guide to the impact of techniques on agricultural production.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134344917","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}
The contemporary customers are positioned as the complex and constantly changing nature of market that challenges entrepreneurs. Adequate Understanding this nature would bring a profit and overall progress of both the company business and the individuals inside the company. In addition to this, customer impulsive buying behavior is one of the most important factors that need to be considered in making the correct decision and taking right actions. Thus, the paper fits in this context by proposing the economic and marketing framework connected with complex analysis of customer purchasing habits. Literature review and stakeholder interview-based analysis of the link between the impact of digital marketing technologies and entrepreneurial challenges and growth areas result in the identification of criteria that influence to both customers buying behavior and digital marketing strategies. Good solution to the problem of evaluating impulsive customer buying behavior, we propose the Analytical Hierarchical Process (AHP) method which has strong mathematical base by utilizing those criteria useful to develop entrepreneurial areas and digital marketing tactics connected to the business growth. This method is used to make quality customer buying behavior and marketing technology evaluation and selection of the best marketing technology and the most important factors that influence highly customer buying behavior, in case of entrepreneurship development.
{"title":"Linking the potentials of customer behavior focused digital marketing technologies and entrepreneurship growth: Developing an analytical hierarchy process framework of business growth supported by digital marketing technologies","authors":"N. Sharopova","doi":"10.1145/3584202.3584256","DOIUrl":"https://doi.org/10.1145/3584202.3584256","url":null,"abstract":"The contemporary customers are positioned as the complex and constantly changing nature of market that challenges entrepreneurs. Adequate Understanding this nature would bring a profit and overall progress of both the company business and the individuals inside the company. In addition to this, customer impulsive buying behavior is one of the most important factors that need to be considered in making the correct decision and taking right actions. Thus, the paper fits in this context by proposing the economic and marketing framework connected with complex analysis of customer purchasing habits. Literature review and stakeholder interview-based analysis of the link between the impact of digital marketing technologies and entrepreneurial challenges and growth areas result in the identification of criteria that influence to both customers buying behavior and digital marketing strategies. Good solution to the problem of evaluating impulsive customer buying behavior, we propose the Analytical Hierarchical Process (AHP) method which has strong mathematical base by utilizing those criteria useful to develop entrepreneurial areas and digital marketing tactics connected to the business growth. This method is used to make quality customer buying behavior and marketing technology evaluation and selection of the best marketing technology and the most important factors that influence highly customer buying behavior, in case of entrepreneurship development.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133849776","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}
People are getting smarter and more selective to use quality healthcare services concerning with sustainability of their mental and physical health. Understanding the behavioral patterns of those smart customers requires careful consideration of digital marketing strategies so that healthcare businesses can maximize the awareness and loyalty of the customers for their healthcare service. Thus, updating the digital healthcare marketing plan with current advances in digital healthcare marketing research becomes a key commitment of health care business managers who must implement adequate healthcare marketing strategies for the sustainability and survival of their business in highly changing and fiercely competitive health care markets. This study aims to systematize the literature of digital healthcare marketing through content taxonomy and logical generalization, thereby addressing the current state of the art. Relevant studies from four academic databases were reviewed, analyzed, and categorized concerning research questions. The research findings highlight connected and cognitive devices and blockchain as the most common categories of the usage of digital marketing technologies in human care services. The systematic mapping study proves that digital marketing is today an integral part of the promotion of medical business in the network, revealing the future research directions where insufficient understanding of the correct use of the cutting-edge technology applications such as artificial intelligence exists.
{"title":"A systematic mapping study of using digital marketing technologies in health care: the state of the art of digital healthcare marketing","authors":"Maksud Kurolov","doi":"10.1145/3584202.3584248","DOIUrl":"https://doi.org/10.1145/3584202.3584248","url":null,"abstract":"People are getting smarter and more selective to use quality healthcare services concerning with sustainability of their mental and physical health. Understanding the behavioral patterns of those smart customers requires careful consideration of digital marketing strategies so that healthcare businesses can maximize the awareness and loyalty of the customers for their healthcare service. Thus, updating the digital healthcare marketing plan with current advances in digital healthcare marketing research becomes a key commitment of health care business managers who must implement adequate healthcare marketing strategies for the sustainability and survival of their business in highly changing and fiercely competitive health care markets. This study aims to systematize the literature of digital healthcare marketing through content taxonomy and logical generalization, thereby addressing the current state of the art. Relevant studies from four academic databases were reviewed, analyzed, and categorized concerning research questions. The research findings highlight connected and cognitive devices and blockchain as the most common categories of the usage of digital marketing technologies in human care services. The systematic mapping study proves that digital marketing is today an integral part of the promotion of medical business in the network, revealing the future research directions where insufficient understanding of the correct use of the cutting-edge technology applications such as artificial intelligence exists.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122193095","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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