The integration of Artificial Intelligence (AI) into financial services represents a developmental shift in the industry, presenting unprecedented opportunities and challenges. This scientometric review examines the evolution of AI in finance from 1989 to 2024, analyzing its pivotal applications in credit scoring, fraud detection, digital insurance, robo-advisory services, and financial inclusion. The analysis reveals significant trends, particularly the growing adoption of machine learning, natural language processing, and blockchain technologies in reshaping financial operations and decision-making processes. The review addresses critical regulatory and ethical challenges, emphasizing the imperative for explainable AI (XAI) and robust governance frameworks to ensure transparency, fairness, and accountability in AI-driven systems. Despite rapid advancements, persistent gaps remain, the most notable of which is the lack of standardized frameworks for AI implementation across financial sectors. The findings support the need for a balanced approach that promotes innovation while addressing ethical, regulatory, and societal concerns. This comprehensive synthesis maps the trajectory of AI in finance, identifies key areas for future research, and recommends interdisciplinary collaboration to advance responsible and sustainable AI integration within the financial ecosystem.

The research deals with the sustainable development of the Serbian and Slovenian countryside, under the influence of tourism progress. The article identifies the main rural tourism competitiveness in Serbia and Slovenia, as one of the essential factors of rural development in both countries, analyzing the main contributions and making a series of proposals to guide the future research agenda. The aim of the paper is to clarify around one obviously defined objective—to point out the competitiveness of sustainable rural tourism in typical post-socialist settings. The data for this study were collected using the Integrated Model of Destination Competitiveness to observe Serbian and Slovenian competitiveness in tourism. Determinants were assessed using a survey evaluating four demanding factors and 20 supporting factors, based upon a five-point Likert Scale. The results indicated that the friendliness of residents towards visitors, easy communication between them, together with quality of infrastructure and health facilities show the highest level of statistical correlation. These are the main propositions to start an initiative for the authorities in local communities to actively participate in sustainable rural development. The findings provide tourism stakeholders with relevant respondents’ perceptions pertaining to the tourism development in non-urban areas.

Purpose: The starting premise of this study is that women's empowerment is the goal for self-realization and that the support that comes from local tourism stakeholders represents an adequate base. In many rural areas, women have established self-help groups (SHGs), which facilitate the interaction with a wide range of stakeholders. The objective of this paper is to investigate the effects of SHGs on female entrepreneurship and self-employment in tourism.Design/methodology/approach: To examine the research question, this study adopted a quantitative research that included a sample of 513 women in a less-advanced rural area in Serbia. For the data analysis, the generalized linear regression model (GLM) was used.Findings: According to the results, self-employment is the leading goal of women's empowerment.Research limitations/implications: The main limitation in the research and the authors’ suggestion for future research is to increase the sample size of female respondents, so examination of their attitudes and role in the travel business in their local settings might reach higher significance. The second issue that the authors would like to point out is a highly local character of our study, so the future research should involve other rural areas in the country and from abroad (e.g. similar undeveloped countryside with noticeable, active women's role in local entrepreneurship).Practical implications: The most important practical implications of this paper are twofold: (1) the results of the research have shown that the tourist potential of rural areas can be enhanced through local tourism stakeholders' support; (2) women without professional interest or jobs in rural areas, especially in the areas where the population is traditionally dominated by men (husband/brother/father), have a chance to earn and to be economically more independent. This research can affect future studies to investigate other aspects of empowerment depending on the difference of regions, from one side, and also alternative opportunities for tourism and local development in less-advanced rural areas, from another side.Originality/value: The study analyzes the tourism potential of the rural areas (which are less advanced and mostly very poor in developing countries, such as Serbia). In this case, there are opportunities to increase employment, social inclusion of women, development of new tourism strategies, implementation of destination marketing, etc. Moreover, it contributes to future research in the field of stakeholders in tourism strategies.

The present study investigated whether the crypto market is a safe haven. The study argues that during the first wave of the COVID-19 crisis, gold and oil, as typical global commodities, could have been diversifiers. The study developed a unique COVID-19 global composite index that measures COVID-19 pandemic time-variant movements on each day. The study used OLS (ordinary least squares), quantile, and robust regressions to check whether the COVID-19 crisis has had any significant direct influence on the crypto market. The OLS, quantile, and robust regressions estimates confirmed that there was no statistically significant direct influence of the COVID-19 crisis on the crypto market in the first wave period. However, the study found spillovers from risky assets (S&P 500) on the crypto market, with Tether as an exception. Due to this special characteristic, Tether might present a safe haven within the crypto market.

Purpose: The paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE).Design/methodology/approach: The model is grounded on resource-based view on the firm and dynamic capabilities approach. Linear programming technique is used to provide the actual framework to the resource-based model.Findings: The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.Research limitations/implications: The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.Originality/value: One very significant contribution of the present study is that the study develops a new resource-based model for SIE especially for the SIE in the initial stages of the life cycle, to gain competitive advantages. Furthermore, the present study contributes to the existing literature in strategy at least in three senses as mentioned below: 1. further addition of SIE research based on the RBV and dynamic capabilities in the strategy literature 2. in developing the versatility concept, the study suggests a distinct sight regarding resource fungibility and it classifies resources into three categories as follows: multipliable, rentable and expendable resources to increases adequacy of the model. 3. Finally, the study introduces a new resource-based linear programming model for SIE resources allocation. To the best of author’s knowledge, no such similar model is introduced by any previous studies for small firm. The greatest advancement of the developed resource-based linear programming model is its simplicity and versatility.

Purpose: The purpose of this paper is to study the impact of wine tourism on rural destination development. Consequently, this study attempts to develop contemporary insights on this under-researched area such as residents’ perceptions of wine tourism and its impact on the rural destination development. Design/methodology/approach: In this study, the authors used a structured survey questionnaire from a random sample of 318 respondents based on the Fruška Gora Mountain in Serbia. Research also used structural equational modeling for empirical econometric testing in this data sample. This technique is appropriate for multivariate analysis. Findings: Personal resident benefit associated with wineries is positively related to resident perceived economic impact (H1) R²=0.624; socio-cultural impact (H2) R²=0.685 and environmental impact (H3) R²=0.716 of wineries on local communities. Looking at the path diagram, the authors concluded that personal resident benefit associated with wineries is strongly related to resident perceived impact of wineries on local communities as regression weights are higher. Other findings relate those residents’ positive perceptions of wine tourism to increases in sales revenue, environmental protection, intrapersonal and interpersonal communication. Research limitations/implications: The positive attitude of the local population is an essential link of development. Such understanding of residents’ perceptions optimizes destination management in the future and, more importantly, local sustainable development. This has high policy implications. Originality/value: The present study contributes to the scientific circles by connecting perception research with wine tourism.