Wseas Transactions on Business and Economics

Journal Information
ISSN / EISSN: 11099526 / 22242899
Total articles ≅ 435

Latest articles in this journal

Justus Mwemezi, Abdelhak Senadjki, Lau Lin Sea
Wseas Transactions on Business and Economics, Volume 19, pp 1914-1928;

The drivers of bank credit flow of transaction costs, credit risk management, information asymmetry, and institutional lending structure are extensively examined. Previous studies have assessed how SMEs might address their financing issues from a demand side. This study is inclined toward the supply side of financing. We aimed to determine how FinTech can counteract the effects of lending costs, information asymmetry, and credit risk management to influence the flow of bank credit to agro-processing SMEs and other entrepreneurs. A total of 399 questionnaires were collected for statistical analysis using partial least square structural equation modeling (Smart PLS). We demonstrate that FinTech as a moderator reduces the negative effects of information asymmetry and credit risk management to allow agro-processing SMEs to obtain more loans. Policymakers can use the findings of this study to improve banks' financial technology in lending activities for the sustainability of entrepreneurial activities.
Kateryna Kraus, Nataliia Kraus, Mariia Hryhorkiv, Ihor Kuzmuk, Olena Shtepa
Wseas Transactions on Business and Economics, Volume 19, pp 1884-1900;

The purpose of scientific research is to present the features of digitization of business processes using artificial intelligence at enterprises as a foundation on which the gradual formation of Industry 4.0 is built and the search for reserves of socio-economic growth in the conditions of the development of digital ecosystem and digital entrepreneurship. Presentation of a number of positive and negative consequences of the influence of artificial intelligence on the operation of digital infrastructure, as well as to indicate possible approaches in the practical application of artificial intelligence based on the substantive characteristics of its construction. The results and forecasts of four waves of modern development of artificial intelligence are presented, including: increasing the profits of Internet companies, monetization of creative Internet applications; reducing the number of cases of non-repayment of loans, establishing objective diagnoses, court decisions, etc.; protection of phones and digital wallets; payment by face scan. It was determined that the expected high-quality product of the fourth wave of modern development of artificial intelligence will be computer intelligence that understands and changes the world, a direct economic benefit first of highly structured environments, and then of other spheres of human activity. The peculiarities of the application of artificial intelligence in the course of the formation of digital enterprises of Industry 4.0 are revealed. The possibilities and advantages of the application of technical capabilities on which the development of artificial intelligence technology is based are analyzed. Approaches to the practical use of artificial intelligence are indicated, including: the synthesis of a human likeness with an independent thinking platform; predictive analytics; methods of control, planning and dispatching; storage, processing and presentation of knowledge. Having conducted a thorough analysis in parts of the acceleration of deep digitalization of business processes with the help of artificial intelligence, authors determined the impact of digitalization process and the operation of digital platforms on the transformational changes of enterprises. It has been found that digitalization lowers the barriers to market entry for small businesses, which have significantly expanded their niche and limited the monopoly of large companies, and the development of digital platforms determines the so-called network effects, when a large number of platform users creates conditions for the emergence of even more consumers. The directions for the development of artificial intelligence technologies are proposed, among which are named: creation of tools for users that allow to simplify the configuration of AI components of systems and to perform some actions without the involvement of developers. A step-by-step algorithm for setting up AI models is defined, namely: definition of the goal; tool selection; configuration and training of the model; hypothesis testing and model optimization; analysis of results.
Armela Xhaho, Elvira Fetahu
Wseas Transactions on Business and Economics, Volume 19, pp 1901-1913;

Over the last few years, the global economic crisis triggered an unexpected increase in the number of migrants returning to Albania. Regardless of the returnees’ typology, the upward trend in return migration highlights the need for measures that could tackle reintegration challenges upon return to their country of origin. In practice, reintegration support consists mainly of project-based programs which are limited and not sustainable over time. The primary goal of this study is to analyze returnees’ patterns and mechanisms of reintegration in the Albanian labor market. The study provides some evidence-based recommendations for policy stakeholders to design targeted reintegration programs and policies for returnees aiming to promote the investment of financial capital, know-how, and know who earned abroad. The findings show that returnees perceived the business environment in Albania as being unfavorable for the successful development of their business. The country’s infrastructure gaps, feeble public investment, non-transparent business procedures regarding investments and soft loans, bureaucracy, and widespread informality seem to hamper foreign entrepreneurial investment from returnees.
Nguyen Anh Tuan, Au Quang Hieu, Bui Thi Thanh Huong, Ha Thi Thanh Thuy, Mai Thi Khuyen
Wseas Transactions on Business and Economics, Volume 20, pp 225-235;

This research aims to determine and evaluate factors influencing the choice of university of students at University of Education, Vietnam National University, Hanoi (UEd, VNU). In this study, the author used exploratory factor analysis and linear regression methods with survey data of 316 freshmen who are currently studying at the UEd, VNU. The results indicated four important factors affecting students' decision to choose a university, which are 1) quality factor; 2) brand/employment factor; 3) information-promotion factor; 4) consultation factor. The findings of the research provided reference for UEd, VNU to develop appropriate enrollment plans and strategies and improve its effectiveness in the coming time.
Ainon Ramli, Rosmaizura Mohd Zain
Wseas Transactions on Business and Economics, Volume 20, pp 236-248;

Microbusinesses are popular and profitable activities that help economic development and growth. However, most microbusinesses are not sustainable due to borrowers’ main challenges such as limited loan size, insufficient government support, lack of training, and high-interest loan rates. Limited studies have been conducted on the business performance of microcredit borrowers in Kelantan. Therefore, this study investigated the impacts of microcredit elements, namely loan size, management fees, tenure, mode of payment, and help and support toward the microbusiness performance in Kota Bharu, Kelantan. This study employed a quantitative research methodology by distributing a survey questionnaire to 300 borrowers from Amanah Ikhtiar Malaysia and Tabung Ekonomi Kumpulan Usaha Niaga in Kota Bharu. Finally, 131 clean datasets were used to run the correlation and regression analyses to identify relationships and significant impacts in the datasets. The results revealed that the mode of payment has the least significant relationship with and did not impact microbusiness performance. Loan size, management fees, and help and support positively and significantly impact microbusiness performance. Conversely, tenure negatively but significantly affects microbusiness performance. All the microcredit elements in this study explained 83.4% of microbusiness performance.
Aled Williams
Wseas Transactions on Business and Economics, Volume 19, pp 1879-1883;

This research looks at how target setting and assessment for learning can improve the progress of students. In particular, we consider by means of a case study how involved students should be during the target setting process. Our findings generally concur with the research [1] since the student attained all targets which she was involved in setting, while she did not think she had reached all those teacher set targets.
Mohammad Mahmood Al-Mulla Hasan, Mohammed Ahmed Mahmood, Mayada Ahmed Said
Wseas Transactions on Business and Economics, Volume 19, pp 1867-1878;

Two dimensions form the theoretical and field framework for this study, pharmacovigilance and marketing deception. The study revealed that pharmacovigilance represents activities related to detecting, evaluating, understanding, and preventing harmful effects or any other related problem. While, marketing deception (henceforth MD) is marketing practices carried out by organizations or sellers in terms of distorting and misleading facts that cause the customer to be in a precarious state, and result in wrong purchasing decisions. The operating pharmacies within Mosul city were a field for conducting the field study, and the researcher sought to include several questionnaires expressing the study problem that was the basis for building the field studies, including (i) Do the pharmacovigilance contribute to eliminating MD? (ii) Is there an effective correlation between the pharmacovigilance dimension and the after-MD dimension? To answer these questions, a hypothetical scheme of the study was formulated to reflect the relationships and effects between the two dimensions of the study, which resulted in a set of main and secondary hypotheses, that were tested using several statistical means for the data collected by the questionnaire which numbered (527) and all were retrieved. The study listed a set of conclusions that were distributed in terms of theory and field sides, which the researcher presents the most important: (i) According to the answers of contributed individuals, pharmacovigilance does not contribute to eliminating MD. (ii) There is an effective relationship between pharmacovigilance and MD, but to some extent, it is weak due to the absence of adopting pharmacovigilance among the researched individuals, which negatively affected the elimination of MD practiced by some pharmacies operating in Mosul city. (iii) The relative importance of the variables of MD differs from a variable on the pharmacovigilance dimension. Depending on both theoretical and field study findings, proposals were listed consistent with these conclusions, as well as future studies related to the dimensions of the current study were suggested.
Yaty Sulaiman, Nur Zalikha 'Akalili' Muhamad Kashfi, Mohd Yusri Shahril Ismail, Ariana Arif
Wseas Transactions on Business and Economics, Volume 19, pp 1849-1859;

In this study, childcare employees of Kedah State are evaluated for their job satisfaction. Study research on the connectivity between pay, internal communication, motivations, working hour, and job satisfaction by using quantitative methods through questionnaires. 234 respondents are identified are the sample of this study who are the employees the childcare center. The study discovered that internal communication, motivations, and job satisfaction are correlated. However, pay and working hours are not correlated. Satisfied employees found to work in the organizations. Research found a better knowledge of factors influencing job satisfaction in childcare centers. The findings provide a better understanding to the center, importantly to the management, in measuring their employees job satisfaction.
Ariana Xhemajli, Mimoza Luta, Emin Neziraj
Wseas Transactions on Business and Economics, Volume 19, pp 1860-1866;

Discussions about distributed leadership and its effectiveness have been at the center of recent leadership studies. This article aims to present the perceptions of micro and small enterprises staff in Kosovo, regarding the practice of distributed leadership, the challenges of this application and the conditions that permit the improvement of enterprises leadership. In Kosovo micro and small enterprises make up the majority of companies operating in the market and serve as the main source of employment for the Kosovo population. Thus, examining the leadership issues of these ventures would serve above all to their effectiveness and success. The ideas of econometric models about the levels of distributed leadership and the challenges of the application of the distributed leadership helped to explain some features of the leadership in micro and small MSE-s in Kosovo context. The instrument created has been delivered to 37 micro and small enterprises in Kosovo. 294 entrepreneurs and enterprises staff filled the questionnaire. The study revealed that according to the respondent’s perceptions distributed leadership is practiced in their enterprise at a superficial level, according to the 3 levels presented by empirical research. There exists a “neutral” perception about the challenges faced by the enterprise while applying distributed leadership, which shows that the respondents do not have a clear idea about the challenges that their enterprise has to face while applying distributed leadership. Nevertheless, they listed “the lack of the shared responsibility amongst the staff”, as one challenge that their enterprise faces mostly, while applying the distributed leadership. According to the respondents, it is important to encourage staff to participate in the decision making, ensure well-built relations among entrepreneurs and the staff and create strong collegial relationships among staff. This could contribute to the success of the MSE-s.
Aija Cunska
Wseas Transactions on Business and Economics, Volume 19, pp 1839-1848;

As the demand for sustainable education increases, teaching and learning strategies also change and evolve. They are becoming more innovative, creative and technology-based. It is mathematics that is one of the most important subjects with horizontal influence on other sectors, which poses the greatest challenges to educators with the question "How to teach students in such a way that they become interested in mathematics?" As an answer to the question, a new product was created. Using a carefully developed methodology and taking into account the needs of students, the post-doctoral research project "Artificial Intelligence (AI) Support for Approach of Accelerated Learning of Mathematics (AI4Math)”, through the cooperation of an interdisciplinary team in the fields of information technology, mathematics, mechatronics, sports and artificial intelligence, a prototype was developed for an innovative technology that arouses emotions in students of different ages, creates a competitive spirit and promotes accelerated learning of mathematics. The AI4Math prototype combines 3 components: 1) a pressure-sensitive floor platform for jumping out the solutions of mathematical expressions, 2) application for calculation of math expressions, evaluation of answers, accumulation and processing of Big Data, 3) an AI solution for emotion control. The study makes a valuable contribution to researchers, entrepreneurs and the education industry, as it reveals the conditions necessary for modern and sustainable accelerated learning of mathematics. Given that the AI4Math prototype provides an innovative approach to learning mathematics through physical activity, the survey data indicated support and future development prospects for the interdisciplinary technology.
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