The conceptual model of the credit information exchange system in global terms

In current conditions, there are few rare initiatives regarding credit information exchange outside national borders. All of them have significant disadvantages and can only be applied on a limited number of countries. This paper proposes conceptual model of a credit bureau in global terms which succesfully solves the aforementioned problems and enables efficient credit information exchange in global terms. Our results point to the fact that efficient credit information exchange in global terms is preconditioned by an adequate model of national credit bureau, international standards of credit reporting and unique identification of natural persons and legal entities. The basis of the conceptual model of a system for credit information exchange in global terms is a national credit bureau model which is organized in a manner which enables simple information exchange and distribution of accurate and reliable data to its users. A variation of such model is commercially used by the banking sector in Serbia

Application of Batch and Automated (STP) Processes in Banking – Case Study Aseba BI

Strong competition in banking market has led to a significant reliance of banks on information technology. In the last decade, main progress has been made in introducing straightthrough processing (STP) and batch processing in banking information systems. In this paper we analyse the impact of application of these processes in banks. We choose four parameters to follow: system quality information quality, service quality and user satisfaction. As a sample of case study we select Aseba BI integrated banking information system, produced by ASSECO-SEE. Through the analysis of several examples: batch processing in core banking system, batch processing in credit module, STP in national payment processes, STP in international payment processes, automation of Treasury back office (TBO) and Treasury (Trading) and Securities trading we conclude that batch processing and STP have great impact on selected parameters

Indicators of Entrepreneurial Behavior and Attitudes for Entrepreneurs of Slovenia and Croatia, in 2018/2019

Abstract. Following the theoretical presentation of entrepreneurship, that is, the determinants that determine the success of entrepreneurial ventures extracted from various scientific studies and research, the paper defines through research the indicators of entrepreneurial behavior and attitudes using the Global Entrepreneurship Monitor 2018/2019 Global Report database. Using the methods of comparison, induction and deduction, an analysis of indicators of Entrepreneurial Behavior and Attitudes for Slovenia and Croatia was conducted. 

LEADERSHIP AND MANAGEMENT AND ITS ROLE IN STRATEGIC CHANGE

Leadership and management, as two important processes in organizations, have a significant impact on all interactions and other processes that occur within an organization. The process of strategic change, important for the survival of organizations in turbulent times, is also conditioned by the roles of managers and leaders and their coordination of resources, vision, and the like.The aim of the paper is to demonstrate the influence of managers and leaders on strategic change (strategy implementation), through secondary and primary research.

Artificial intelligence and the evolution of finance: opportunities, challenges and ethical considerations

The swift progression and widespread integration of Artificial Intelligence (AI) across numerous fields has been causing major shifts in conventional paradigms. One of the prime examples of such transformation is evident in the finance sector. This document delves into the immediate implications, future opportunities, the challenges being faced and the future outlook of AI in finance by conducting an exhaustive review of academic papers, industrial studies, and real-world case studies. Our research indicates that AI's impact on areas like risk management, trading, customer assistance, fraud detection, and personalization of financial services has been notably significant, boosting efficiency, security, and customer contentment. However, we also discuss the critical hurdles that arise with the implementation of AI, such as ethical concerns about data privacy and biases, the mystery surrounding AI's 'black box' problem, and the potential job losses due to automation. Our paper concludes that although AI has the potential to bring about significant changes in the finance industry, it is crucial to overcome the associated ethical, trust, and regulatory challenges to maximize its benefits. Future investigations should focus on creating ethically considerate, transparent, and robust AI tools that are compliant with and can excel in the Regulatory Landscape of the finance industry.info:eu-repo/semantics/publishedVersio

The impact of functional characteristics of a credit bureau on per capita level of indebtedness : evidence from East European countries

The institution of the credit bureau is one of the most important elements in controlling the indebtedness levels of a population. All credit bureaus have specific functional characteristics which are able to influence the development of indebtedness. This research aims to identify the most important characteristics of a credit bureau, to quantify those characteristics and to identify causal relationships between the characteristics of the credit bureau and trends in indebtedness per capita levels. The paper introduces the Credit Bureau Functional Index which presents a quantified value of the functional characteristics of the Credit Bureau. The paper establishes a correlation between this index and indebtedness per capita and finds the formula governing this relationship to be linear. The paper concludes that indebtedness levels can be targeted through a mix of characteristics of a credit bureau. Research on this theme is absent in academic literature to date

Primena automatizacija izveštavanja u analizi poslovnih sistema - veb platforma kao alat za start-up kompanije

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HOW POLITICAL and SOCIAL ATTITUDE COULD HELP to FULLY ADOPT THE CIRCULAR ECONOMY CONCEPTS FOR NATIONAL BENEFIT? A COMPARATIVE STUDY

This comparative study shows the way in which concepts like circular economy, innovation and competitiveness are understood, accepted and implemented in Romania and Serbia, countries with similar preoccupations for the European Union's recommendations and destiny.It is showed that the similar results obtained outline the lack of continuity in applying the resilient strategy for general development and the strategic role of investments as a pillar of modernisation. To build a resilient and modern society requires fundamental and complex changes in the political decision-makers' attitude and people's civic behaviour, linked on the circular economy principles, the need for substantial investments in top innovative research, high-tech products and adequate public policies of general interest

Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions

The way people travel, organise their time, and acquire information has changed due to information technologies. Artificial intelligence (AI) and machine learning (ML) are mechanisms that evolved from data management and developing processes. Incorporating these mechanisms into business is a trend many different industries, including education, have identified as game-changers. As a result, education platforms and applications are more closely aligned with learners’ needs and knowledge, making the educational process more efficient. Therefore, AI and ML have great potential in e-learning and higher education institutions (HEI). Thus, the article aims to determine its potential and use areas in higher education based on secondary research and document analysis (literature review), content analysis, and primary research (survey). As referent points for this research, multiple academic, scientific, and commercial sources were used to obtain a broader picture of the research subject. Furthermore, the survey was implemented among students in the Republic of Serbia, with 103 respondents to generate data and information on how much knowledge of AI and ML is held by the student population, mainly to understand both opportunities and challenges involved in AI and ML in HEI. The study addresses critical issues, like common knowledge and stance of research bases regarding AI and ML in HEI; best practices regarding usage of AI and ML in HEI; students’ knowledge of AI and ML; and students’ attitudes regarding AI and ML opportunities and challenges in HEI. In statistical considerations, aiming to evaluate if the indicators were considered reflexive and, in this case, belong to the same theoretical dimension, the Correlation Matrix was presented, followed by the Composite Reliability. Finally, the results were evaluated by regression analysis. The results indicated that AI and ML are essential technologies that enhance learning, primarily through students’ skills, collaborative learning in HEI, and an accessible research environment.info:eu-repo/semantics/publishedVersio