Anton Vorina

This study investigated the impact of generative artificial intelligence (GAI) on employee engagement, given the increasing integration of tools like ChatGPT, Gemini, and Copilot into workplaces. The research aimed to determine if GAI usage, specifically various tools and their purposes, influences engagement levels. A total of 200 balanced survey responses (50% male, 50% female) were analyzed, revealing a diverse sample in terms of education level (majority with higher education) and employment sectors. The average age of respondents was 39.06 years, with an average of 16.21 years of work experience, indicating a varied workforce. Using linear regression analyses, the study found no statistically significant impact on employee engagement from the individual use of ChatGPT, Gemini, or Copilot. Furthermore, no specific purpose of GAI usage (e.g., web searching, text writing, translation, proofreading) showed a statistically significant influence on engagement. While gender also had no significant effect, age was found to be a statistically significant predictor of engagement, with older employees generally reporting higher levels of engagement. The overall penetration of GAI tools among respondents was relatively low, with 64.5% not using any of the listed tools, and ChatGPT being the most widely adopted for tasks like text writing and information retrieval. These findings suggest that the current use of GAI tools, in isolation, does not significantly alter employee engagement, highlighting the need for further research into broader contextual factors and implementation strategies.

In the future, where artificial intelligence (AI) becomes an integral part of work environments, employee engagement faces complex challenges and opportunities. Research indicates that AI can both enhance and undermine engagement, depending on its implementation. The purpose of this study was to examine the use of AI tools (ChatGPT, Gemini, Copilot) and general work engagement among Generations X, Y, and Z. The sample included 311 women from various educational and professional sectors. The results showed that the use of ChatGPT significantly differs between generations, with Generation Y using it considerably less (35.5%) than Generations X (53.8%) and Z (50.0%). On the other hand, Gemini and Copilot had a very low adoption rate across all generations (8.4% and 9.0%, respectively), with no statistically significant differences. Significant differences were also found in work engagement, with Generation X reporting the highest levels (M = 35.93), followed by Generation Y (M = 33.87), and Generation Z the lowest (M = 31.28). These results indicate an uneven spread of AI tools and varying levels of work engagement, highlighting the need for tailored strategies to encourage AI use and improve engagement, especially among younger generation

This study uniquely investigates the use of AI tools, specifically OpenAI ChatGPT, Google Bard-Gemini, and Bing, in Slovenia, focusing on their perceived impact on life satisfaction and educational policies. A survey of 757 respondents revealed that OpenAI ChatGPT is the most commonly used AI tool (57.7%), followed by Bing (19.4%) and Google Bard-Gemini (11.8%). Despite the high usage rates, the correlation between AI tool use and overall life satisfaction was weak, challenging the hypothesis that the frequent use of AI tools leads to greater life satisfaction. Additionally, while 19.4% of respondents reported improved life satisfaction due to AI tools, the majority (60.3%) experienced no change, and some (8.0%) reported a decline. The study partially supports the hypothesis that Slovenians are generally favorable toward AI in education, with 51.9% opposing a ban on AI tools, 25.0% supporting a ban, and 23.1% remaining undecided. These findings suggest a widespread but cautious acceptance of AI tools, emphasizing the need for further research into their effects on well being and educational policies.

This study was conducted with the aim of protecting groundwater, which plays a crucial role in ensuring food quality in the market, preserving public health, and safeguarding the ecosystem, as many regions rely on clean natural groundwater for their population’s survival. The objective of this study was to use the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) for groundwater at 12 stations in the Okhla Industrial Area, Nangloi, and Karol Bagh in the Delhi Region. CCME WQI is an effective tool for assessing groundwater quality and communicating water conditions to various users. The research methodology involved fieldwork from June to October 2020 for three different periods in the year: pre-monsoon, monsoon, and post-monsoon, to observe variations in water quality and differences in various physicochemical properties of water. The CCME WQI was applied using sixteen water quality parameters, fourteen of which were physicochemical parameters and two of which were microbiological parameters. Among the physicochemical parameters were color, odor, pH, turbidity, nitrate, total hardness, iron, chloride, fluoride, total dissolved solids, calcium, magnesium, sulfate, and alkalinity, while the microbiological parameters included the total coliform and Escherichia coli counts. Based on the results obtained from the water quality index, station A9 scored between 0 and 44, indicating the lowest water quality index due to wastewater discharges and industrial contamination. The water quality at other stations also requires attention to achieve excellent ratings. The study concludes that serious measures should be taken for proper management of the area to protect the population from hazardous diseases. The research results show that stations 1, 2, and 10 were rated as excellent, station 12 as good, stations 4, 5, and 8 as moderate, stations 3, 6, and 11 as marginal, and station 9 as the poorest in terms of water quality in the year 2020 during the pre-monsoon, monsoon, and post-monsoon periods. To improve the parameters and groundwater quality, it would be necessary to reduce the impact of industry, anthropogenic–geogenic activities, and domestic activities.

Digital transformation has created the need for contin uous innovation. The aim of this paper is to present the factors that guide the adoption of digital wallets among Generation Y and Gen eration Z using the Lamane formula with a sample of 370 respond ents. Participants rated all items on a Likert scale after completing the questionnaire. Using multiple regression analysis (SPSS 21), the paper evaluates the impact of various predictor variables on the use of digital wallets. The contribution of this paper lies in identifying the influential factors that shape the adoption of digital wallets among Generation Y and Generation Z.

This study presents novel findings on the utilization of artificial intelligence among Generations X, Y, and Z in Slovenia. Through a survey of 722 individuals, we explored differences in AI usage and life satisfaction across these generations. Our focus was on three prominent AI models: ChatGPT, Gemini, and Bing. The primary hypotheses were: H1: There is a statistically significant difference in Summary Satisfaction with Life (SumSWL) among different generations and H2: There is a statistically significant difference in the use of AI language models (GPT, Gemini, and Bing) among different generations. Our findings confirm a clear generational divide in AI adoption. Younger generations, particularly Generation Z, demonstrate a higher propensity for using AI tools compared to older generations. Among the analyzed AI models, ChatGPT emerged as the most popular, especially among younger demograph­ics. However, there are no significant differences in Summary Satisfaction with Life (SumSWL) between any of the generational pairs.

The article examines the environmental implications of electric vehicles, focusing on their impact on air, soil, water, climate change, and carbon footprint. The analysis draws on sources published after 2020. The primary goal of the research is to evaluate the positive and negative en­vironmental effects of electric vehicles. While electric vehicles produce zero tailpipe emissions, a broader perspec­tive reveals a more complex picture. The manufacturing process for elec­tric vehicles can generate up to 70% higher emissions than that of gasoline vehicles. Despite this, sales of electric vehicles have surged in recent years. Global sales increased by 49% to 6.2 million units in the first half of 2023, represent­ing approximately 16% of the global light vehicle market. Electric vehicles reduce air pollution compared to traditional vehicles but do not entirely eliminate the problem. Furthermore, the electricity power­ing electric vehicles often comes from power plants, contributing to soil and water pollution. To achieve a more significant climate benefit, electric vehicles generally need to be driven over 90,000 kilometers before surpassing the environmen­tal impact of internal combustion engine vehicles.

Purpose: This article explores the growing trend of dark tourism by investigat­ing its underlying motivations and potential future directions. Through a com­prehensive analysis, it uncovers the increasing popularity of this niche among diverse generations, shedding light on how destinations marked by tumultu­ous histories captivate tourists seeking to engage with the past. Aim: Our research focuses on three key areas: defining the core concept of dark tourism, evaluating its potential as a transformative force in the tourism indus­try, and crafting an idealized profile of a dark tourist. Methodology: This study employs a comprehensive literature review using sources from 2020 to 2023, accessed through Google Scholar and other aca­demic databases. A total of 25 sources were consulted to ensure a thorough un­derstanding of the topic. Ethical Issues: The ethical considerations of dark tourism include the desensiti­zation and trivialization of historical tragedies, the potential exploitation and over-commercialization of sensitive sites, and the importance of maintaining the authenticity and integrity of dark destinations. Findings: The results provide a comprehensive overview of dark tourism and its potential impact on the future of the tourism industry. Recommendations are offered on how destinations can responsibly attract and cater to dark tour­ists, ensuring that their visits are both meaningful and respectful of the histor­ical contexts.

Purpose. This study researches the distinctive integration of OpenAI’s Chat GPT within the domain of accounting, placing a particular emphasis on evolving ethical considerations. The paper also presents two scenarios demonstrating how open Chat GPT can be employed in dou­ble-entry accounting, highlighting the pros and cons of their usage. Aim. The primary objectives are as follows: To assess the impact of open Chat GPT integration on accounting processes. To understand how accounting professionals perceive and address eth­ical concerns in the utilization of open Chat GPT. To evaluate the effectiveness of open Chat GPT in supporting dou­ble-entry bookkeeping accounting. Methodology. In the exploration of contemporary management practic­es, this research investigates scholarly papers and online resources, utiliz­ing platforms such as Google Scholar and Google Search. The period under consideration spans from 2021 to 2023. On November 23, 2023, we conduct­ed a practical test to use Chat GPT’s ability to assist in accounting entries re­lated to X-Hotel events through an open chat. The assessment aimed to de­termine the efficacy of Open Chat GPT in supporting accountants. Initial­ly, two scenarios were independently addressed by experts, followed by the same scenarios being presented to open Chat GPT for resolution, and the outcomes were subsequently compared. Conclusion. Companies should establish guidelines for the ethical use of open Chat GPT in accounting. While open Chat GPT can effectively assist in certain aspects of double-entry bookkeeping, it should be used judicious­ly and complemented with expert oversight for tasks that demand a higher level of accuracy and detail.

This research paper presents an original exploration into the cen­tral question: “What defines modern leadership?” It is imperative to empha­size that this study highlights the imperative for modern leaders to harness the capabilities of Artificial Intelligence (AI) without allowing biases to taint their decision-making process. In the past, the role of a manager was of­ten characterized by authority and command, where people followed direc­tions unquestioningly. In the modern business landscape, marked by rap­id changes, the impact of COVID-19, and evolving workplace dynamics, the nature of leadership has transformed. This study aims to explore mod­ern management practices by investigating scholarly papers and online re­sources from Google Scholar and Google Search, focusing on the period from 2021 to 2023. What we found is that modern leaders need to possess different skills. They should focus on building trust, persuading, and influencing people instead of merely giving orders, as was done in the past. Our research indicates that the ability to adapt, understand others, engage in lifelong learning, and demonstrate care are truly essential for leaders in today’s ever-changing business world. This research paper presents a novel perspective on modern leadership. It underscores that future leaders will leverage Artificial Intelli­gence (AI) to aid in problem-solving and boost productivity.