IT Area Research Articles

Creative Digital Marketing and Advanced Internetworking Assistance Programs for Micro, Small and Medium Enterprises in Buah Batu District Bandung

Digital media can support Micro, Small, and Medium Enterprise (MSME) businesses to increase brand awareness of their products, so they can gain competitive advantages and reach a broader market. Unfortunately, not all MSME businesses have the capabilities to utilize digital media to support their businesses. The MSMEs in Buah Batu district face problems that can not be resolved by conventional marketing methods, such as lack of brand awareness and drop in sales which results in the decrease of their revenues and profits. This Community Service aims to improve the MSME's knowledge and skills on creative digital marketing strategy and their understanding of the marketplace so they can create online stores for their businesses. Online stores make it feasible for those MSMEs to broaden their market reach. For the problems related to the IT area, the team will provide network training. The method applied was the service-learning approach. The results of this community service are that the MSMEs in Buah Batu District are capable to create their online shops, promote their products through the marketplace and social media and finally increase their revenues. The output of these community service activities is the design of MSME product packaging and website.

Integrated ERP-Class Management Information Systems – Evolution, Current State and Development Directions

Purpose: The aim of the article is to present the evolution of ERP systems and to identify the most important directions of ERP systems development. Design/methodology/approach: The paper uses the classical literature analysis method that consists in identifying the state of the research along with a critical reflection on it (critical literature review). Based on the analysis of the literature as well as the results of reports on ERP systems, suggestions for further development of ERP systems were formulated. Findings: The dynamic development of technology, increased competition in the IT market and changing needs of enterprises will result in the evolution of ERP systems. The article shows the directions of development of ERP systems (verticalization of ERP systems, cloud ERP, mobility, internal and external integration of ERP systems, automation in ERP systems, multimedia ERP systems, process ERP systems, minimizing the implementation time of ERP systems, increased popularity of Open Source ERP systems). Research limitations/implications: The pace and scale of technological change is altering almost every area of enterprise activity. It is difficult to unambiguously assess which of the changes in the IT area will have the greatest impact on the evolution of ERP systems. Directions of ERP systems development indicated in the article are only possible proposals of changes. Originality/value: The directions of development of ERP systems outlined in the article may constitute a premise for a discussion on their further evolution in the digital economy.

Key Success Factors That Enable IT Service Providers to Achieve Organizational Performance: Evidence from Romania

The recent preoccupations of companies are quite varied, but most of them have the same objective—the improvement of organizational performance. The service area is a very popular one among individual clients or legal entities, the latter having many more interactions with companies in the IT area following the COVID-19 pandemic. The objective of this paper is to determine the factors that contribute to improving the organizational performance of IT service companies. The study involves exploratory, quantitative research that analyzes the perceptions of employees in the Romanian IT sector regarding the performance of their companies, as well as the key success factors that enable its achievement. The results indicate that organizational culture, organizational innovation level, service quality, and employee skills are some of the most important variables that can influence the organizational performance of Romanian IT service providers, thus contributing to their economic sustainability. Moreover, in this field, entrepreneurs should be more concerned about developing employees’ skills and improving their satisfaction, as they are one of the key resources for a sustainable business in the IT industry.

Neural network as a tool to solve the problem of credit scoring

Artificial neural networks have become one of the most actively developing areas of IT over the past decade. They were used to solve various problems in various areas of human society. In the financial sphere, the capabilities of artificial intelligence, machine learning and neural networks have also expanded the list of data analysis tools. One of the topical areas of research in the financial sector is the problem of credit scoring. Solving this problem reduces the risk of possible default, which may be caused by too many overdue loan payments. Currently, a sufficiently large range of methods has been developed to solve the problem of credit scoring, including the use of neural networks considered in the framework of the presented work. In the presented work, the application of a neural network for solving multiple regression problems is considered by the example of solving the problem of credit scoring. The article contains an analysis of influencing factors, their assessment, the choice of a model of an artificial neural network. In addition, the article describes the processes of training and testing a neural network for scoring. The developed information system should solve the problem of credit scoring, which is to determine the creditworthiness of the client. Based on the information of this client, as well as on historical data about other customers, the system determines whether the person is solvent. The field of application of the developed information system is banking, in particular retail lending.

Fintech & Risks. A Bibliometric Analysis

Our study highlights a literature map on Fintech and the risks associated with this technological innovation in the financial sector. Considering all the studies published from 2014 to 2021 in "Scopus", we resort to econometric techniques to create our map. Our results show the recent attention of academics and researchers, mainly belonging to the technological and IT areas, towards Fintech. In particular, the studies focus on the issue of emerging technologies applied to investment and credit processes linked to the assessment of customer insolvency risk. For this reason, the existing analyzes adopt a mainly technical approach with very limited attention to strategic, organizational and managerial aspects typical of financial intermediation. Future studies could investigate the issue of Fintech behavior and relations with incumbent banks, as well as the risks that the applications of emerging digital technologies have on the sound and prudent management of these operators. In addition, further analysis can capture the risks of Fintech for clients, taking into account financial education. These are important aspects for the growth of Fintechs themselves, for the sustainability of the incumbent banks, with which they increasingly collaborate, and obviously for the banking supervisory authorities, attentive to the stability, efficiency and competitiveness of the financial sector as a whole.

Women's participation in MOOCs in the IT area

In the paper, we investigated if women's student profile, persistence and grades differ from those of men, using log data from 4.452 students (women = 30%) enrolled in four MOOCs (Massive Open Online Courses) with technological themes from a Brazilian platform. The student profile, which included survey data on intention to finish the MOOC, liking the subject matter, time spent on the course, educational level and age group, indicated no significant difference. Additionally, a cluster analysis identified similar groups for men and women: each gender had a group with “high performance students”, with high grades and persistence, plus groups with low grades and persistence, but with varied compositions regarding age and educational level. Persistence and grade were significantly different in favour of men in the Sentiment Analysis MOOC, and persistence in the Arduino MOOC was also significant, in favour of men. However, considering the four courses, the distribution of persistence and grade is the same for men and women. We consider these positive results, as it points to an equal profile of participation and performance of both genders in courses where women are underrepresented, what might indicate a change in the trend of participation of women in IT courses. However, it is important to highlight that women's enrollment were much lower, and that enrollees of both genders represents a privileged Brazilian sub population - students who have at least a bachelor's degree - what defies the view that MOOCs are a democratizing educational technology.

Comparative analysis of students enrolled in administrative and IT study areas in the TecNM tutoring program in the Comarca Lagunera

The object of this research was the comparative analysis of the students assisted by the Institutional Tutoring Program (PIT) of the Tecnologico Nacional de Mexico and who are enrolled in different academic engineering studies. The research was done in three technological institutes in the Comarca Lagunera. A comparative study with t-test was carried out between the administrative and IT study areas, with a confidence level of 97%. Among the findings, it is worth noting that the tutored students of administrative careers are more sociable than their peers in the IT area, but these students have more confidence in their tutor to talk about their personal problems; students who use institutional support services perceive that their participation in the tutorial program improves their grades, they ask their tutor for help and are more willing to listen to his advice and recommendations. Regarding the type of family, students who live in families with both parents are more daring than those who come from another family type.

ІННОВАЦІЙНО-ІНВЕСТИЦІЙНИЙ ПОТЕНЦІАЛ ЕКОНОМІКИ УКРАЇНИ

The concepts of innovative development and investment development of the country closely interact and mutually determine each other. The problem of innovation and investment potential is especially relevant in developing and actively transforming countries, among which Ukraine is an influential figure in the international economic arena. The purpose of the research provided was to analyze and highlight the central emphasis of positioning for the innovation and investment attractiveness of the country's economy with a focus on scientific and reference sources, reflecting the outline of these issues in the foreign or foreign-targeted information and research space. In recent years (2014-2021), within government efforts there have been made important steps towards intensifying the innovative capabilities of Ukraine. Among the investment opportunities "Ukraine-2020" the areas of IT, agribusiness, industry (heavy industry, fashion industry, aerospace industry, auto parts, pharmaceuticals, etc.), energy, oil and gas niche are highlighted. The innovation and investment potential of Ukraine is a matter of prime necessity when planning the development of external vectors of the economy. The current government policy is aimed at establishing an attractive investment climate for the state, which is noticeable in economic planning and strategic directions of legislative and regulatory activities. Attracting foreign investment is a tool to overcome the capital deficit to ensure sustainable economic development.

The Level of Outsourced Tasks in IT and its Dependence on Selected Explanatory Factors

Purpose: The main aim of this article is to determine the impact of selected factors on the level of activities outsourced in the organization to IT outsourcing (ITO). This goal was achieved by building a structural model where the modeled value was the level of outsourced IT activities. Next, it was indicated the factors that have a stimulating and limiting effect on the modeled quantity, and to determine the level of influence. The model was tested on data from economic practice (large Polish organizations). Design/Methodology/Approach: A critical study by review literature and descriptive analysis method, with empirical and formal methods. For the collection of data, the research tool used is a questionnaire, statistical methods were applied to construct the research model and test the hypotheses with structural equations methodology. Findings: The seven variables had an impact on the level of ITO. The stimulating effect had benefits of this service, reasons for using ITO (onshoring and offshoring), factors of a successful relationship with the service provider and factors determining the choice of an ITO service provider. The limiting effect had the risk factors of ITO (onshoring). The risk factors of ITO (offshoring) had a stimulating effect. Practical Implications: The model shows factors that have a stimulating and limiting effect on the level of ITO. This allows the management of an organization that uses ITO or has the intention to do so, and organizations that provide outsourcing services in the IT area, to pay attention to particularly important factors and to ignore factors that are not important. Originality/Value: Construction of the structural model of the level of outsourced IT activities. Identification of factors that stimulate and restrict the level of outsourced IT activities, and determination of the level of impact of these factors on the modeled variable.

The strategic choice of contract types in business process outsourcing

PurposeHow to determine the appropriate contractual structure for an outsourcing relationship has been a major theme in the business process outsourcing (BPO) literature. Drawing on transaction cost economics, this study aims to examine how anticipated coordination and adaptation costs in a BPO relationship affect the choice of contract types. Specifically, this research categorizes contracts types (fixed-price, time and materials and hybrid contracts) based on levels of contract design comprehensiveness and flexibility to change.Design/methodology/approachThe research setting is the BPO for a focal firm, involving a contractor. Data from 153 US companies are collected using a structured questionnaire on senior executives of functional areas of marketing, IT and finance. Hypotheses were tested using ordered probit model.FindingsThe results show that maturity is negatively associated with anticipated adaptation costs, while modularity and IT detachability are negatively related to anticipated coordination costs. Furthermore, adaptation costs have a direct impact on the choice, whereas the anticipated coordination costs do not have a significant direct impact on contract choice. The strength of adaptation costs' impact, however, is significantly reduced when coordination costs are high.Originality/valueThis study explicitly examines the role of anticipated coordination and adaptation costs in shaping the strategic choice of contract types in the BPO market. By differentiating the two types of anticipated transaction costs, this research enables a better understanding of the dynamics between transaction characteristics, anticipated transaction costs and contract types in complicated relationships such as BPO relationships.

Interdisciplinary Distance Learning Workshop for IT Students

Purpose of research. The purpose of research is to present proposals for the development and use of technologies for automatic checking of problem solutions in the process of forming professional competencies of students of IT-directions in the information educational environment. The article analyzes the authors’ experience gained during the development and operation of a distance learning workshop for IT students, which implements the functions of automatic checking of problem solutions in various specialized disciplines. This approach made it possible to increase the effectiveness of teaching both in the process of classroom studies and in the organization of independent work of students.Methods and materials. The article presents the key points of the creation and development of the distance learning workshop, justifies its concept, according to which the learning workshop is an interdisciplinary resource, in which the function of automatic checking of problem solutions is subordinate to the main function of developing and consolidating the skills and abilities of an IT specialist. An approach to organizing automatic checking by testing the program code developed by a student in the process of solving an educational problem is presented, and an extension of this approach is proposed for organizing automatic checking in cases where the solution is not the program code, but, for example, a diagram, model or text document designed in accordance with the regulated rules. The architectural solution and some features of the implementation of the distance learning workshop are justified, its role in the educational process is determined. Results. The results of the use of the learning workshop in the process of teaching various courses are presented. The results of training in programming are the most significant, since this resource has been used for more than 15 years – during this time, extensive experience has been accumulated in its use, the results of training have been analyzed, and some problems have been identified and solved. An example of using the learning workshop in the course “Mathematical Logic and Theory of Algorithms” is presented, in which the implementation of automatic checking of problem solutions required non-standard solutions to refine the learning workshop. An additional useful function of the learning workshop as the means of developing English-language competence is presented.Conclusion. The results of the study show that the technologies of automatic checking of problem solutions and software based on them are an effective way to develop the professional skills of students of IT areas. Surveys of employers of graduates of IT areas allow us to conclude that there is a relationship between the results of students’ work recorded in a distance learning workshop during training, and their success in professional activities after graduation. Many of the graduates continue to use the learning workshop to further develop and train their professional skills – the resource is open.

Networking infrastructure decision at Well-Known Institute of Management

Well-Known Institute of Management is situated in New Delhi, India, and offers a 2-year fully residential post-graduate program in Management (MBA) and a doctoral-level program. While the permanent and fully residential campus of the institute with state-of-the-art facilities is under construction (expected to be completed by June 2024), the institute is currently functioning from a rented transit campus. With the increase in intake in July 2020 and subsequently in 2021, the total number of students in the campus is going to increase from 240 to 400. Two buildings are hired on rent which is 1 km away from the transit campus. The IT team of the institute is asked to conduct a survey, analyze, and propose a solution to provide networking and Internet facilities for 150 students who are going to reside in the newly hired hostel buildings. Because of the Covid-19 pandemic, the networking requirement has changed. Dr Vivek Gupta, Assistant Professor in the area of IT and systems at Well-Known Institute of Management, is heading the IT team of the institute. Puzzled between various options of buying network infrastructure on premise or buying it as a service (infrastructure as a service), Dr Gupta needs to do a thorough analysis before recommending a feasible and plausible solution.

Work Life Balance of Women Employees of it Sector during Remote Working

In this paper, an endeavor has been made to track down the professional and the personal difficulties and enhancers for work life balance among working women during work from home through a study of 100 ladies working in the IT area in India. The primary difficulties in professional life were discovered to be expanded working hours, travel time from home to work place, and additional tasks engaged by them. Where as in personal life, the primary anxieties were blame from elders for not being taken care of family. Most of the women would incline toward adaptable planning, flexi-time, and strong spouse, family, and companions just as a climate helpful for work at the workplace.

Improving the efficiency of processing big data using the distributed data analysis method

Various methods of collecting, storing, and analyzing information should be used to create efficient data processing systems. To solve the problem of finding the necessary information in large data sets, machine learning algorithms are used. Given that most modern large-scale information systems use a huge number of computing devices, it is much more efficient to use distributed data processing technologies. In particular, distributed machine learning is widely used, in which devices are trained on local datasets and send only results to the global model. This approach improves the reliability and confidentiality of data because user information remains on the same device. The article also presents an approach for the analysis of large amounts of information using the algorithm of Singular Value Decomposition (SVD). This algorithm allows both to reduce the amount of information, discarding redundancy, and to predict events based on the identified patterns in the data. The main features of distributed data analysis, the possibility of using complex algorithms for information analysis, and machine learning in such systems are identified. However, the algorithm of Singular Value Decomposition is quite difficult to implement given the distributed architecture. To improve the efficiency of this method in distributed systems, a special modified FedSVD algorithm is proposed. Based on this algorithm, user data is collected from different devices, but the ability to further protect them from possible interference or interception is added. The results of the work can be used in the design of systems for data analysis, increasing the reliability of the user information used, including in corporate information systems, financial or IT areas, etc. The proposed approaches can serve as a basis for the development of information technology for automatic provision of recommendations to users, prediction of emergencies in enterprises.

Intersection of Artificial Intelligence, Machine Learning, and Internet of Things – An Economic Overview

Internet of Things (IoT) has become one of the mainstream advancements and a supreme domain of research for the technical as well as the scientific world, and financially appealing for the business world. It supports the interconnection of different gadgets and the connection of gadgets to people. IoT requires a distributed computing set up to deal with the rigorous data processing and training; and simultaneously, it requires artificial intelligence (AI) and machine learning (ML) to analyze the information stored on various cloud frameworks and make extremely quick and smart decisions w.r.t to data. Moreover, the continuous developments in these three areas of IT present a strong opportunity to collect real-time data about every activity of a business. Artificial Intelligence (AI) and Machine Learning are assuming a supportive part in applications and use cases offered by the Internet of Things, a shift evident in the behavior of enterprises trying to adopt this paradigm shift around the world. Small as well as large-scale organizations across the globe are leveraging these applications to develop the latest offers of services and products that will present a new set of business opportunities and direct new developments in the technical landscape. The following transformation will also present another opportunity for various industries to run their operations and connect with their users through the power of AI, ML, and IoT combined. Moreover, there is still huge scope for those who can convert raw information into valuable business insights, and the way ahead to do as such lies in viable data analytics. Organizations are presently looking further into the data streams to identify new and inventive approaches to elevate proficiency and effectiveness in the technical as well as business landscape. Organizations are taking on bigger, more exhaustive research approaches with the assistance of continuous progress being made in science and technology, especially in machine learning and artificial intelligence. If companies want to understand the valuable capacity of this innovation, they are required to integrate their IoT frameworks with persuasive AI and ML algorithms that allow ’smart devices/gadgets’ to imitate behavioral patterns of humans and be able to take wise decisions just like humans without much of an intervention. Integrating both artificial intelligence and machine learning with IoT networks is proving to be a challenging task for the accomplishment of the present IoT-based digital ecosystems. Hence, organizations should direct the necessary course of action to identify how they will drive value from intersecting AI, ML, and IoT to maintain a satisfactory position in the business in years to come. In this review, we will also discuss the progress of IoT so far and what role AI and ML can play in accomplishing new heights for businesses in the future. Later the paper will discuss the opportunities and challenges faced during the implementation of this hybrid model.

Methodological Foundations for Teaching Computer Graphics for Students in IT Areas

Computer technologies of graphic education of students studying programming and information technologies are considered. Particular attention is paid to the joint use of descriptive geometry methods and three-dimensional geometric modeling tools in the creation and study of models of geometric shapes. A basic set of competencies has been identified, allowing to solve the main types of computer graphics tasks, methods for achieving these competencies are considered.

Integrated use of IT - technology in the construction industry

A number of new IT technologies are now developing successfully: Cloud Computing, Border Computing, Internet of Things, Digital Twins, Machine Vision, Big Data, Deep Learning. The list is constantly updated, as this direction is developing very dynamically. Experience shows that the best effect is achieved when several new IT technologies are used in one technical solution. Often, new solution in the IT area is an incentive to use other modern solutions: the introduction of the Internet of Things required the transition to a new Internet protocol IPv6, the use of wireless networks in the Smart House caused the need to use the technology of ZigBee. The way the combination is very much dependent on the subject area. In some cases, it is effective to combine IT technologies with advanced advances in other technics areas. For example, “Machine Vision” can be used in unmanned aerial vehicles (drones) in the construction and operation of high-rise buildings, bridges, etc. The work explores the complex use of IT - technology in the construction industry.

СONTEMPORARY ISSUES OF THE GOVERNMENT REGULATION SYSTEM OF THE ENTERPRISE DEVELOPMENT IN THE FIELD OF INFORMATION TECHNOLOGIES

In this article has been analyzed the research papers of Ukrainian and foreign scientists concerning state regulation of enterprise development. The main attention is paid to the study of works devoted to the modern system of state regulation of enterprises engaged in advertising. The definition of the state regulation system terms has been presented. Various approaches of economic scientists regarding the essence and content of these definitions have been considered, with a comparative analysis carried out. The system of regulation of the advertising market in scientific work has been divided into the following groups: self-regulation and state regulation of the industry.In this article has been analyzed the Law of Ukraine 'On Advertising' and have been presented its fundamental shortcomings. Based on the conducted research, the issues of the system of the enterprise development's state regulation of the IT area have been identified. The mentioned key issues include: the absence of a single center for state regulation of enterprise development; uncertainty of the public authorities' limits of powers, whose competencies, among other things, include the regulation of marketing communications; the absence of clear regulation of the enterprise development in the field of Internet advertising; imperfect legal regulation of the junk mail (spamming) distribution; there is no clear implementation of the introduced methods of comparative marketing. The results are obtained in this scientific work can be used in the research of various scientists, especially Ph.D. candidates and postgraduates, who are working on developing proposals for improving the current legislation on state regulation of business entities' development.

Learning about Programming and Epistemic Emotions: A Gendered Analysis

Programming courses often turn into courses with high percentage of desertion and, sometimes, result in a factor that drives students to abandon their careers, even when they are subjects highly relevant in the training of engineers in the areas of computer science, IT, and related careers. These courses demand high cognitive processes, which generate several emotions learning-related that, when taken into account and evaluated, could be used in favor of learning. Programming courses generate negative emotions in female students in a higher proportion than men, which may even lead them to abandon the career, widening the gender gap. In recent years, there has been a growing interest in the role of emotions in academic environments at university level, as well as for knowing the reason for the low participation of women, despite the importance of their role and skills, in computing areas. However, the interest in analyzing the emotions that emerge from students as they learn to program is quite recent. There is not an important number of studies around the emotions of women while they learn to program. The objective of this study is to analyze the behavior -at an emotional level- of students towards different teaching activities, establishing gender level comparisons, and considering the incorporation of elements of collaboration and gamification to identify differences in the emotions originated by these activities.

Student model implementation in the digital educational environment for IT specialists training

The article presents the key aspects of implementation of the IT student model in the digital educational environment. The student model is the basis of the intelligent component of the digital environment to support the process of personalized e-learning, taking into account the needs and abilities of each student. The article provides justification, systematization and formal description of the main structural elements of the IT student model. The importance of the student model for monitoring the development of professionally significant personal qualities of students in IT areas is proven, and set of parameters of the student’s personal model is determined. The results of the experiments performed by the authors, are analyzed, which confirm the adequacy of the developed model and allow us to establish relationships between its components. The software for the implementation of intelligent features for managing adaptive learning based on the developed student model is presented briefly.